Open access peer-reviewed chapter

New Progress in Imaging of Pituitary Diseases

Written By

Youtu Wu

Submitted: 13 December 2022 Reviewed: 03 January 2023 Published: 30 January 2023

DOI: 10.5772/intechopen.109772

From the Edited Volume

Frontiers in Neuroimaging

Edited by Xianli Lv

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Abstract

In the last 20 years, there have been advances in imaging techniques for pituitary diseases. Magnetic resonance imaging (MRI) particularly presents high-quality structural images and the essential information needed to authorize surgery, radiation therapy, and/or drug therapy. These images can assist in monitoring long-term outcomes. Recent technological advances, such as the advent of 7-Tesla MRI, have been used for measuring tumor consistency in pituitary adenomas. Microadenomas and other pituitary incidentaloma have been more recognized in the presence of golden-angle radial sparse parallel imaging and conventional dynamic contrast-enhanced techniques. However, standard structural (anatomical) imaging, mainly in the form of MRI, acts inadequately to identify all tumors, especially microadenomas (< 1 cm diameter), recurrent adenomas, and several incidentalomas. In this respect, nuclear isotope (radionuclide) imaging promotes tumor detection beneficially. All these imaging improvements may play a central role in clinical practice, especially when considering diagnosis, differential diagnosis, or definitive intervention. They further form accurate diagnosis, advise surgery, and decrease the risk of disrupting normal pituitary function.

Keywords

  • pituitary
  • MRI
  • 7-tesla MRI
  • dynamic contrast-enhanced imaging (DCE)
  • nuclear isotope (radionuclide) imaging

1. Introduction

The pituitary is a small endocrine gland seated in the sella turcica of the central skull base and is surrounded by the neurovascular structures of the parasellar region. The pituitary gland demonstrates many pathologies with multiple components and cell types, including neoplastic, vascular, and inflammatory processes. These conditions can affect the pituitary gland and produce endocrinologic and neurologic abnormalities. Pituitary lesions are always benign, but hypersecreted hormones or masses can seriously affect the quality of life. Therefore, early, accurate diagnosis and treatment are important. The most common lesions of the pituitary gland are adenomas. Magnetic resonance imaging (MRI) is the standard approach for evaluating the pituitary gland. Recent advances in MRI and positron emission tomography (PET) have facilitated the successful detection of tumors that may be only a few millimeters in diameter. Here, studies have indicated a prevalence rate of 3.5 to 5 times higher than previously suspected [1].

Many imaging methods focus on the diagnosis and demonstration of pituitary lesions and have already made huge progress. However, an optimal assessment has not been clarified for some occult lesions. This comprehensive review aims to discuss various updated imaging technologies regarding pituitary lesions.

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2. Anatomy of the pituitary gland

Understanding the underlying anatomy depends on interpreting imaging studies of the sellar and parasellar regions. A complex neuroendocrine organ is located within the sella turcica (a cup-shaped depression in the sphenoid bone, which is also bordered anteriorly and inferiorly by the sphenoid sinus). This organ is the pituitary gland. The suprasellar cistern, which consists of the optic chiasm, is above the pituitary gland. The cavernous sinus forms the lateral walls of the pituitary fossa. It contains the sixth cranial nerve and the internal carotid arteries. It more laterally contains the third and fourth nerves. Additionally, the first and second divisions of the fifth cranial nerve sit in its walls. Anatomically, the pituitary gland is connected to the hypothalamus, which typically is via the infundibulum. Regarding embryology, the anterior and posterior pituitary lobes are distinct [2]. The adenohypophysis, the pituitary’s anterior lobe, and the neurohypophysis, the pituitary’s posterior lobe, emerge from embryological structures. The adenohypophysis is derived from the oral ectoderm and synthesizes multiple hormones, such as prolactin, adrenocorticotropic, thyroid-stimulating and follicle-stimulating hormones, and growth and luteinizing hormones. Arising from neural ectoderm, the neurohypophysis contains axons from the hypothalamus. It is responsible for secreting oxytocin and vasopressin. A vestigial intermediate lobe lies between the anterior and posterior lobes. The lobe is a potential site for Rathke cleft cysts [3].

Generally, the average pituitary gland is larger in women than in men. Its height is between 3 and 8 mm [4]. At birth, the size of the gland varies, when it is typically globular in shape (more so during adolescence) due to its physiological hypertrophy [5]. Yet, during pregnancy, the gland progressively develops to a large degree, where it can reach a height of up to 10 mm instantly after delivery [6]. Its size may increase in women during their 50s [6].

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3. Imaging technology in pituitary and pituitary adenomas

3.1 Standard pituitary magnetic resonance imaging

Magnetic resonance imaging has brought the most advances regarding sellar and parasellar structures’ radiological assessment. Magnetic resonance imaging powerfully demonstrates both normal and abnormal anatomy. It even permits detecting subtle abnormalities within an overall normally dimensioned gland. Subtle abnormalities include 1–2 mm microadenomas and infiltration/inflammation [7, 8]. The high-quality imaging of sellar and parasellar structures is critical to decision-making when radiotherapy and/or surgery are not recommended.

The pituitary gland and hypothalamus imaging have multiple potentially beneficial MRI sequences. The pituitary MRI protocol may comprise pre-contrast T1- and T2-weighted (T1W/T2W) coronal and sagittal sections with thin slices. It also should include gadolinium (Gd)-enhanced coronal and sagittal T1W images [9, 10]. Nevertheless, T1W sequences are typically used in clinical practice. They present clear contrasts between the pituitary gland and adjacent cerebrospinal fluid, blood vessel flow voids, paranasal sinus air, and bone marrow fat. T2W sequences are further utilized because their sensitivity to changes in water content can be advantageous in detecting and evaluating pituitary lesions and assessing adjacent neurological structures, such as the hypothalamus and optic chiasm. The normal anterior pituitary gland is shown to be isointense to gray matter in non-contrast T1W and T2W standard spin echo (SE) sequences. On the other hand, neurohypophysis depicts an intrinsic high T1 signal; however, it is hypointense on T2 [3, 11].

The high signal on non-contrast T1W imaging is attributed to phospholipid vesicles containing neurosecretory granules [12, 13, 14]. The absence of bright spots in the posterior pituitary may alert the clinician to the likelihood of underlying pituitary pathology; some normal subjects do not exhibit this high signal. The extent to which the posterior lobe bright spot is faint or apparent in each patient varies from scan to scan [8, 15]. Occasionally, the posterior pituitary bright spot is abnormally placed, residing in the proximal infundibulum or hypothalamus, for a commonly named ectopic posterior pituitary bright spot. This is associated with some forms of congenital hypopituitarism, specifically concerning growth hormones (GHs). There are possibly other structural abnormalities, for instance, septal hypoplasia and agenesis of the corpus callosum [16]. The position of the bright spot can also be removed with pituitary stalk interference, which is shown to follow trauma or surgical transection after damaged neurosecretory granule migration [17, 18, 19].

Intravenous injection of a paramagnetic contrast agent is a common practice and enhances the pituitary gland and stalk on T1W images. The cavernous sinuses are hypointense in relation to the pituitary gland. They are adjacent to the brain and display enhancement after contrast. The cavernous sinus’s medial dural border is generally poorly visualized as a distinct structure compared with the lateral dural wall, which is more easily defined. During pituitary imaging, the naturally occurring lanthanide, Gd, is the most frequently utilized contrast agent. It changes the magnetic properties of tissues, in which it accumulates. As a result, it enhances the structure seen in MRI. Gadolinium uptake by pituitary adenomas is slower in most cases. Consequently, it triggers delayed improvement and washout characteristics. It assists in revealing a different image, especially poorly visualized microadenoma.

Gadolinium is toxic, even in its free form, and must be chelated to a carrier ligand to be permitted in clinical settings. Recently, attention has been brought to the safety of Gd-based contrast agents (GBCAs) owing to the potential for long-term central nervous system retention, typically in patients with normal renal function. As mentioned, many pituitary patients require long-term imaging surveillance with GBCAs resulting in retention of Gd in the tissues [20, 21]. Macrocyclic GBCAs show greater chemical stability compared with that of their linear counterpart. This is due to their connection with a lower risk of nephrogenic systemic fibrosis and decreased Gd tissue deposition; nevertheless, they seem to transmit a higher, albeit comparatively rare, risk of allergic reactions. Thus, while GBCAs are crucial in sellar and parasellar regions’ imaging, to decrease exposure, it is essential to acknowledge when contrast agents may not be needed [22, 23, 24].

3.2 Dynamic contrast-enhanced magnetic resonance imaging

Dynamic contrast-enhanced (DCE) MRI takes a series of images over time after an intravenous contrast media. As a type of permeability imaging, it measures T1W signal-intensity changes in the process of allocating an intravenous bolus of GCBA. According to initial studies, DCE-MRI was particularly effective in detecting and precisely delineating microadenomas without contour abnormalities [25, 26, 27, 28].

Given its intricate vascular anatomy characteristics, the pituitary gland is assured to benefit from dynamic imaging evaluation. The adenohypophysis receives most of the blood from the hypophyseal portal system supplies. The superior hypophyseal artery starts with small branches that enter the hypothalamus. It forms a primary capillary plexus. Subsequently, it transmits portal veins via the infundibulum to a secondary plexus and supplies blood to the adenohypophysis. Conversely, the neurohypophysis is supplied directly by the inferior hypophyseal artery. The inferior hypophyseal artery is an artery that branches from the internal carotid artery. Capillaries in the pituitary gland have unique fenestrations outside the blood–brain barrier, which cause the gland to strengthen with intravenous contrast administration [29].

Recent studies have proven the importance of this technique via the detection of microadenomas in patients, particularly those with Cushing’s disease, with a sensitivity of 67–95% compared with that of 50–60% under conventional contrast-enhanced MRI [30, 31, 32]. Microadenomas show delayed enhancement and regression, making them more visible on DCE-MRI than conventional sequences, and a few may only appear on dynamic sequences [33]. Dynamic contrast-enhanced magnetic resonance imaging has become routine for initial imaging studies in central endocrine disorders, namely, prolactinomas, due to its negative predictive value and high sensitivity in detecting microadenomas [33]. Additionally, DCE-MRI advances surgical planning by distinguishing between normal tissue and lesions [8, 34].

Nonetheless, conventional pituitary DCE-MRI has several limitations. A trade-off happens between spatial and temporal resolutions, and the optimal parameters for collection and reconstruction are unfamiliar. Variations in slice thickness, slice interval, and imaging duration due to the absence of standardized protocols may hinder comparisons between studies and institutions. In most instances, the lack of temporal resolution hinders quantitative pharmacokinetic analysis. In the postoperative setting, conventional techniques are insufficient in fat saturation, which typically is advantageous in contrasts of hemorrhage, fat, and surgical packing material [33].

3.3 Golden-angle radial sparse parallel imaging

Golden-angle radial sparse parallel (GRASP) imaging focuses on maneuvering the restrictions posed by conventional DCE-MRI. Golden-angle radial sparse parallel imaging uses a three-dimensional gradient-echo sequence with golden-angle ordering and radial “stack-of-stars” k-space sampling [35, 36]. Conventional DCE-MRI techniques implement the acquisition of numerous images. Golden-angle radial sparse parallel imaging develops all the dynamic data by completion in a single persistent scan. First, the data is separated into sequential time frames and then recreated via an iterative method, which connects compressed sensing and parallel imaging [33, 36, 37].

This method allows the recreation of extremely under-sampled data to submillimeter isotropic resolution using a total-variation time constraint. The isotropic resolution permits multiplanar reconstruction in all time points. Golden-angle radial sparse parallel imaging may be able to distinctively permit retrospective modification of temporal resolution as high as approximately 2.5 s per frame due to the uniform distribution of the profiles in k-space. Golden-angle radial sparse parallel imaging delivers higher planar resolution, increased sensitivity to motion and flow, and improved fat suppression compared to conventional two-dimensional turbo SE examinations [33, 37]. Research on the application of GRASP imaging for pituitary imaging is in its infancy, and there are many potential avenues of research. A few published studies validate the potential of this technology to assist in managing, characterizing, and diagnosing pituitary pathology [38, 39, 40, 41].

Golden-angle radial sparse parallel imaging has been utilized to describe the permeability features in the normal pituitary gland [40]. The posterior lobe and median eminence in normal pituitary glands show faster washin and time to the maximum enhancement than that of the anterior lobe. The median eminence and anterior lobe show faster washout than that of the posterior lobe. These results are coherent with previous DCE-MRI studies and note the gland’s complex vascular anatomy [33]. Direct arterial supply to the posterior lobe allows premature improvement. The pituitary portal system, which provides the anterior lobe, is relatively slow yet proceeds in greater maximal improvement due to a stronger vascular plexus.

Golden-angle radial sparse parallel imaging illustrates in patients of subtle differences with central endocrine disturbances except morphologically normal pituitary glands. Typically, patients with GH disturbances do not have focal pituitary lesions. Golden-angle radial sparse parallel imaging has shown that in these patients, the permeability parameters of the pituitary contradict those in healthy controls [30, 40]. Particularly, the pituitary glands of hypopituitarism show fundamentally lower washin and washout in the anterior and posterior lobes. According to a prior DCE-MRI study, patients with idiopathic GH deficiency and morphologically normal pituitary glands have shown comparable permeability differences [17, 35]. For the pituitary gland, GRASP imaging permeability parameters are necessary to determine reference ranges in prospective studies with larger samples.

Golden-angle radial sparse parallel imaging aids contrasting and detecting microadenomas and cysts. Compared with the normal parenchyma of the anterior lobe, microadenomas were enhanced, albeit at a significantly lower level. Utilizing acquisitions with 20 s temporal resolution, this contrast in improvement was exposed at all time points from 60 to 140 s after contrast injection [33]. Microadenomas showed maximal enhancement at 90 ± 10 s after contrast administration, compared with that at 80 ± 10 s in the anterior lobe. In differentiating, cysts failed to enhance.

Regarding preoperative planning, GRASP imaging improves macroadenoma assessment by distinguishing normal pituitary tissue from macroadenomas [41]. Damage to the normal pituitary gland possibly impacts hypopituitarism for approximately 5% of patients during transsphenoidal resection [42]. This risk may be reduced by using preoperative imaging to localize the pituitary gland. In one study, three independent readers, a radiology resident, a medical student, and an attending neuroradiologist, localized the normal pituitary gland in patients with macroadenomas on GRASP images with an almost-perfect agreement [41]. This technique’s reliability makes it an attractive option to enhance surgical planning, especially toward experience levels.

3.4 Nuclear isotope (radionuclide) imaging

3.4.1 Positron emission tomography (computed tomography/magnetic resonance imaging)

In the pituitary evaluation, the radionuclide technique has a comparatively limited role. However, some radiologists have experienced various modalities, including somatostatin receptor scintigraphy or PET, 18F-fluorodeoxyglucose (18F-FDG)-PET, and 11C-methionine (11C-Met)-PET. For instance, the 111indium labeled octreotide is utilized for investigating nonfunctioning adenomas [12, 43, 44]. Yet its practicality is insufficient, as other parasellar tumors, namely, meningiomas, may express somatostatin receptors and take up octreotide [3, 45]. For assessing the biological activity of pituitary tumors, there are limited uses for PET using 18F-FDG, in which most pituitary lesions are slow in growth and thus metabolically inactive. Even though the short half-life and obvious high cost of production of such pharmaceutical procedures nowadays restrict their usage for research purposes, tracers such as 11C-Met have demonstrated some promise [45].

3.4.2 Somatostatin receptor scintigraphy and positron emission tomography

Within the normal human pituitary tissue, somatostatin receptors (SSTRs) are expressed in different subtypes of pituitary adenoma in varying degrees. For example, in most somatotroph adenomas, SSTR subtype 2 (SSTR2) is detectable, whereas SSTR5 expression is more changeable [46]. In managing and examining pituitary adenomas, the benefit of somatostatin receptor scintigraphy (e.g., 111indiumpentetreotide) is thus complicated by certain factors: the tumor’s dependence on SSTR subtype expression, the normal pituitary tissue’s background uptake, and the minimal spatial resolution and sensitivity of scintigraphy when joined with single-photon emission computerized tomography [47].

3.4.3 18F-fluorodeoxyglucose positron emission tomography

There have been numerous case reports of incidental 18F-FDG uptake by pituitary adenomas in the literature [48, 49, 50]. As the normal pituitary gland fails to display FDG uptake above the background activity, any significant FDG uptake generally implies pathology [51]. The usage of 18F-FDG PET has been considered in various subtypes of pituitary adenoma [49, 50]. However, the findings have been greatly discouraging. For localizing corticotroph adenomas, 18F-FDG PET is similar to MRI. In their retrospective study, Alzahrani et al. reported a detection rate of 58% in 12 patients who underwent conventional 18F-FDG PET/computed tomography (CT) [52]. Correspondingly, 18F-FDG PET still has a role in the routine management of pituitary adenomas. However, the outcome of 18F-FDG PET in the identification of de novo and residual/recurrent pituitary adenomas is satisfactory [53, 54]. In addition, 18F-FDG PET can help differentiate residual or recurrent adenoma from the remaining normal pituitary tissue because of transsphenoidal surgery once merged with 68Ga-DOTATATE PET [55, 56].

3.4.4 11C-methionine PET

11C-methionine PET (Met-PET) has been established to be beneficial in localizing the entire range of pituitary adenoma subtypes in terms of recurrent and newly diagnosed tumors [53, 55, 57, 58, 59], especially microadenomas [7, 55, 60]. 11C-methionine PET makes the most from a substantially lower brain uptake. It not only enhances sensitivity compared with 18F-FDG PE but also generates a more conductive target-to-background ratio [53, 55, 61]. Nonetheless, when Met-PET/CT is contrasted with MRI, an important limitation is the relative insufficiency of anatomical detail from CT. Thus, its capability to instruct precision surgery or radiotherapy is insufficient. To mitigate such limitations, some groups have evaluated the importance of co-registering PET/CT and MRI images to enhance the anatomical delineation at these sites of Met-PET uptake, instruct certain treatment decisions, and assist in clinical outcomes [59, 62, 63]. Thus, the 11C-Met uptake site(s) may be accurately delineated.

Gillett et al. detected that Met-PET scans ought to be normalized to the cerebellum to decrease the effects in the pituitary gland of physiological variations of the uptake of 11C-Met, namely, in comparison to serial imaging. This new technique permits enhanced localization of adenomas in comparison with conventional imaging modalities, specifically because the cerebellum is utilized as the reference region. It is used between baseline Met-PET images and registered suppressed Met-PET by highlighting the regions of change. In clinical practice, implementing this technique is valuable due to definitive intervention. For example, transsphenoidal pituitary surgery or stereotactic radiosurgery is deliberated to assist targeted intervention and mitigate the liability of breaking the normal pituitary gland function. This PET/MRI generation process will eventually have minimal difficulty and be more accessible, which has been proven with various tracers [47].

3.5 7-Tesla magnetic resonance imaging in predicting the tumor consistency of pituitary adenomas

Tumor consistency is an important factor in surgical planning, as it affects resection relief and exposure to surgical operation morbidity [64, 65, 66]. Typically speaking, through the process of suction and curettage, tumors, usually with a soft consistency, are easily removed. Consistency in predicting tumors with the use of MRI is well-documented. According to T2W imaging, the hypointense tends to be associated with firmer tumors, possibly due to their increased collagen content [65, 67]. On T2W imaging, softer tumors are likely to be hyperintense, possibly in relation to much higher cystic components and/or water content [68].

Yao et al. proved that 7-Tesla (7 T) MRI could predict pituitary adenoma consistency and histopathological characteristics [66]. In the 7 T voxel-based analysis of tumor imaging, the authors demonstrated that it enabled previously inaccessible recognition of tumor heterogeneity. With permission from the ultrahigh field MRI, such techniques are facilitated by the high in-plane resolution. Moreover, the authors detected a positive correlation between tumor consistency and vascularity. With 7 T MRI, soft tumors were inclined to have a higher density of blood vessels [66].

Voxel-based particle analysis combined with 7 T MRI may be beneficial. It potentially maximizes the spatial resolution and possibly provides a more sensitive application from such use of this new imaging technique. Advanced post-processing image analysis techniques combined with 7 T ultrahigh-field MRI, for instance, the voxel-based analysis, may offer radiological tumor characterization. In such cases, they may aid in surgical decisions for the resection of pituitary adenomas.

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4. Imaging technology in pituitary incidentalomas

Within the pituitary gland, pituitary incidentalomas are lesions detected incidentally in imaging for unrelated causes, such as headache, trauma, or symptoms involving the neck or central nervous system. With the wide application of imaging techniques, more and more imaging studies have found incidental pituitary tumors. The estimated prevalence of incidental pituitary adenomas is approximately 0.7/1000 (0.07%) [69]. The etiology of pituitary incidentalomas comprises many pathologies, most of which are benign adenomas. Pituitary adenomas account for approximately 90%, with most of them being Rathke’s cysts, craniopharyngiomas, and meningiomas [70, 71, 72].

Magnetic resonance imaging acts as a central position in the initial evaluation. Pituitary adenomas are defined by the displacement of the pituitary stalk and perhaps deformation of the sellar diaphragm. They most commonly measure less than 1 cm and are located within the adenohypophysis. They appear to have hypointensity on the T1W series and hyperintensity on the T2W series. Nevertheless, many GH-secreting adenomas may be isointense or hypointense on T2W sequences. Many microadenomas show delayed enhancement and washout, making them more pronounced on DCE-MRI than on conventional sequences.

A few may be apparent only in dynamic sequences [9, 73]. However, compared with the normal parenchyma of the anterior lobe, microadenomas were enhanced at significantly lower levels. Golden-angle radial sparse parallel magnetic resonance imaging has excellent spatial and temporal resolutions. The potential of this technique shown in the current study was exploited in assessing the pituitary gland with an in-plane resolution of 0.7 mm, serial slice thickness of 0.8 mm, and a temporal resolution of 20 s [33]. An acquisition time of 120 s after contrast agent administration is sufficient for adequate dynamic assessment of the pituitary gland, optimizing scan time using the magnet.

In contrast to conventional dynamic MRI techniques that accomplish multiple separate exams, GRASP technology acquires all dynamic information in a single sequential scan where contrast agent injection occurs. Image reconstruction is later achieved by merging the data into consecutive time frames and reconstructing the frames using an iterative method combining parallel imaging and compressed sensing [36, 40]. Therefore, GRASP provides higher planar resolution, increased sensitivity to motion and flow, and improved fat suppression compared to conventional two-dimensional turbo-SE examinations [74]. Rathke’s cysts are the most generally known cystic pituitary incidentalomas, and MRI findings depend on the cyst’s contents. Rathke’s cysts are commonly hyperintense on T1W imaging with characteristic T2 hypointense intra-cystic nodules. In most cases, the cyst wall fails to enhance following contrast administration [75, 76]. The appearance of craniopharyngiomas on MRI also depends on the content of the cyst, the proportion of solid components, and the probable presence of calcifications. Their solid portion is commonly iso- or hypointense on T1 and hyperintense on T2, whereas the cystic portion is hyperintense on T1W sequences. Calcified tumors are characteristic. Rim and nodular calcifications are greatly identified on CT [77].

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5. Imaging technology in primary hypophysitis and immunotherapy-related hypophysitis

The classification of primary hypophysitis includes plasmacytic, granulomatous, lymphocytic, xanthomatous, or mixed [78]. Generally, they are nearly identical to immunotherapy-associated hypophysitis (IH) and share the same radiographic features. Immunotherapy-associated hypophysitis is a generally known immune-related adverse event that happens most frequently with regimens comprising cytotoxic T-lymphocyte antigen 4 suppression, especially ipilimumab. The MRI plays a crucial role in diagnosing hypophysitis. And 2-[18F]-fluoro-2-deoxy-D-glucose PET/CT gives complementary diagnostic information.

For primary hypophysitis and IH, the key feature of MRI is the diffuse and transient enlargement of the pituitary gland, which is always modest [79, 80]. The absolute peak size shown in the study of the pituitary gland was 2 cm in 59 patients with IH. In primary hypophysitis and IH, the posterior pituitary bright spot with connected infundibular/suprasellar abnormality appears absent in the MRI. Lesions are, for the most part, T1 isointense. Usually, they improve markedly on contrast T1W imaging [81]. Homogeneous pituitary enhancement is often accompanied by hypophysitis, and other pituitary lesions often accompany heterogeneous enhancement. Pituitary stalk thickening is seen in IH in 59% of the cases [80]. Immunotherapy-associated hypophysitis causes a transient increase in pituitary size, which generally resolves within several months. In terms of monitoring IH, FDG-PET/CT holds value [79]. The normal pituitary gland fails to exhibit FDG uptake above background activity, so any significant FDG uptake usually demonstrates pathology. However, the pituitary should be monitored exclusively during the FDG-PET/CT studies routinely performed after initiating an immune checkpoint inhibitor (ICI) to determine the pathological uptake. In the case of longitudinal imaging, PET can individualize hypophysitis from neoplastic lesions, such as metastases or macroadenomas [82]. After ICI initiation, transient pituitary FDG hypermetabolism is a common sign of IH [79]. The insufficiency of FDG uptake in sellar lesions also aids in characterization, advising non-neoplastic pathology, such as Rathke’s cleft cyst or a microadenoma (approximately half do not demonstrate FDG uptake) [83].

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6. Conclusion

Imaging examination is indispensable in diagnosing and managing pituitary lesions, especially MRI. With the understanding of such lesions, there is a higher demand for the development of imaging technology. New evaluation methods have been adopted for diagnosing pituitary microadenoma, pituitary incidentaloma, hypophysitis, and recurrent pituitary tumors, such as 7 T MRI, DCE imaging, and nuclear isotope imaging. With the progress of technology, more new technologies will be available to assess diagnosis and treatment options.

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Conflict of interest

The author declares no conflict of interest.

References

  1. 1. Vandeva S, Jaffrain-Rea ML, Daly AF, Tichomirowa M, Zacharieva S, Beckers A. The genetics of pituitary adenomas. Best Practice & Research. Clinical Endocrinology & Metabolism. 2010;24(3):461-476. DOI: 10.1016/j.beem.2010.03.001
  2. 2. Elster AD. Modern imaging of the pituitary. Radiology. 1993;187(1):1-14. DOI: 10.1148/radiology.187.1.8451394
  3. 3. Shah S, Waldman AD, Mehta A. Advances in pituitary imaging technology and future prospects. Best Practice & Research. Clinical Endocrinology & Metabolism. 2012;26(1):35-46. DOI: 10.1016/j.beem.2011.08.003
  4. 4. Denk CC, Onderoglu S, Ilgi S, Gurcan F. Height of normal pituitary gland on MRI: Differences between age groups and sexes. Okajimas Folia Anatomica Japonica. 1999;76(2-3):81-87. DOI: 10.2535/ofaj1936.76.2-3_81
  5. 5. Saba M, Ebrahimi HA, Ahmadi-Pour H, Khodadoust M. Height, shape and anterior-posterior diameter of pituitary gland on magnetic resonance imaging among patients with multiple sclerosis compared to normal individuals. Iran Journal of Neurology. 2017;16(4):218-220
  6. 6. Dinc H, Esen F, Demirci A, Sari A, Resit GH. Pituitary dimensions and volume measurements in pregnancy and post partum. MR assessment. Acta Radiology. 1998;39(1):64-69. DOI: 10.1080/02841859809172152
  7. 7. MacFarlane J, Bashari WA, Senanayake R, Gillett D, van der Meulen M, Powlson AS, et al. Advances in the imaging of pituitary Tumors. Endocrinology and Metabolism Clinics of North America. 2020;49(3):357-373. DOI: 10.1016/j.ecl.2020.06.002
  8. 8. Bashari WA, Senanayake R, Fernandez-Pombo A, Gillett D, Koulouri O, Powlson AS, et al. Modern imaging of pituitary adenomas. Best Practice & Research. Clinical Endocrinology & Metabolism. 2019;33(2):101278. DOI: 10.1016/j.beem.2019.05.002
  9. 9. Paschou SA, Vryonidou A, Goulis DG. Pituitary incidentalomas: A guide to assessment, treatment and follow-up. Maturitas. 2016;92:143-149. DOI: 10.1016/j.maturitas.2016.08.006
  10. 10. Vasilev V, Rostomyan L, Daly AF, Potorac I, Zacharieva S, Bonneville JF, et al. MANAGEMENT OF ENDOCRINE DISEASE: Pituitary ‘incidentaloma’: neuroradiological assessment and differential diagnosis. European Journal of Endocrinology. 2016;175(4):R171-R184. DOI: 10.1530/EJE-15-1272
  11. 11. Klyn V, Dekeyzer S, Van Eetvelde R, Roels P, Vergauwen O, Devolder P, et al. Presence of the posterior pituitary bright spot sign on MRI in the general population: A comparison between 1.5 and 3T MRI and between 2D-T1 spin-echo- and 3D-T1 gradient-echo sequences. Pituitary. 2018;21(4):379-383. DOI: 10.1007/s11102-018-0885-3
  12. 12. Bashari WA, Senanayake R, MacFarlane J, Gillett D, Powlson AS, Kolias A, et al. Using molecular imaging to enhance decision making in the management of pituitary adenomas. Journal of Nuclear Medicine. 2021;62(Suppl. 2):57S-62S. DOI: 10.2967/jnumed.120.251546
  13. 13. Kucharczyk W, Lenkinski RE, Kucharczyk J, Henkelman RM. The effect of phospholipid vesicles on the NMR relaxation of water: An explanation for the MR appearance of the neurohypophysis? AJNR. American Journal of Neuroradiology. 1990;11(4):693-700
  14. 14. Kucharczyk W, Crawley AP, Kelly WM, Henkelman RM. Effect of multislice interference on image contrast in T2- and T1-weighted MR images. AJNR. American Journal of Neuroradiology. 1988;9(3):443-451
  15. 15. Brooks BS, el Gammal T, Allison JD, Hoffman WH. Frequency and variation of the posterior pituitary bright signal on MR images. AJNR. American Journal of Neuroradiology. 1989;10(5):943-948
  16. 16. Argyropoulou MI, Kiortsis DN. MRI of the hypothalamic-pituitary axis in children. Pediatric Radiology. 2005;35(11):1045-1055. DOI: 10.1007/s00247-005-1512-9
  17. 17. Wang S, Xiao D, Lin K, Zhao L, Wei L. Magnetic resonance imaging characteristics of residual pituitary tissues following transsphenoidal resection of pituitary macroadenomas. Neurology India. 2021;69(4):867-873. DOI: 10.4103/0028-3886.325377
  18. 18. Meyrignac O, Idir IS, Cognard C, Bonneville JF, Bonneville F. 3D TOF MR angiography to depict pituitary bright spot and to detect posterior pituitary lobe cyst: Original description at 3T MR imaging. Journal of Neuroradiology. 2015;42(6):321-325. DOI: 10.1016/j.neurad.2015.04.009
  19. 19. Saeki N, Tokunaga H, Wagai N, Sunami K, Murai H, Kubota M, et al. MRI of ectopic posterior pituitary bright spot with large adenomas: Appearances and relationship to transient postoperative diabetes insipidus. Neuroradiology. 2003;45(10):713-716. DOI: 10.1007/s00234-003-1018-9
  20. 20. Nachtigall LB, Karavitaki N, Kiseljak-Vassiliades K, Ghalib L, Fukuoka H, Syro LV, et al. Physicians’ awareness of gadolinium retention and MRI timing practices in the longitudinal management of pituitary tumors: A “Pituitary Society” survey. Pituitary. 2019;22(1):37-45. DOI: 10.1007/s11102-018-0924-0
  21. 21. Lersy F, Boulouis G, Clement O, Desal H, Anxionnat R, Berge J, et al. Consensus Guidelines of the French Society of Neuroradiology (SFNR) on the use of Gadolinium-Based Contrast agents (GBCAs) and related MRI protocols in neuroradiology. Journal of Neuroradiology. 2020;47(6):441-449. DOI: 10.1016/j.neurad.2020.05.008
  22. 22. Rudnick MR, Wahba IM, Leonberg-Yoo AK, Miskulin D, Litt HI. Risks and options with gadolinium-based contrast agents in patients with CKD: A review. American Journal of Kidney Diseases. 2021;77(4):517-528. DOI: 10.1053/j.ajkd.2020.07.012
  23. 23. Bonneville JF. A plea for the T2W MR sequence for pituitary imaging. Pituitary. 2019;22(2):195-197. DOI: 10.1007/s11102-018-0928-9
  24. 24. Costelloe CM, Amini B, Madewell JE. Risks and benefits of gadolinium-based contrast-enhanced MRI. Seminars in Ultrasound, CT, and MR. 2020;41(2):170-182. DOI: 10.1053/j.sult.2019.12.005
  25. 25. Maier C, Riedl M, Clodi M, Bieglmayer C, Mlynarik V, Trattnig S, et al. Dynamic contrast-enhanced MR imaging of the stimulated pituitary gland. NeuroImage. 2004;22(1):347-352. DOI: 10.1016/j.neuroimage.2004.01.006
  26. 26. Gao R, Isoda H, Tanaka T, Inagawa S, Takeda H, Takehara Y, et al. Dynamic gadolinium-enhanced MR imaging of pituitary adenomas: Usefulness of sequential sagittal and coronal plane images. European Journal of Radiology. 2001;39(3):139-146. DOI: 10.1016/s0720-048x(01)00354-0
  27. 27. Kamimura K, Nakajo M, Yoneyama T, Bohara M, Nakanosono R, Fujio S, et al. Quantitative pharmacokinetic analysis of high-temporal-resolution dynamic contrast-enhanced MRI to differentiate the normal-appearing pituitary gland from pituitary macroadenoma. Japanese Journal of Radiology. 2020;38(7):649-657. DOI: 10.1007/s11604-020-00942-4
  28. 28. Elster AD. High-resolution, dynamic pituitary MR imaging: Standard of care or academic pastime? AJR. American Journal of Roentgenology. 1994;163(3):680-682. DOI: 10.2214/ajr.163.3.8079867
  29. 29. Chapman PR, Singhal A, Gaddamanugu S, Prattipati V. Neuroimaging of the pituitary gland: Practical anatomy and pathology. Radiologic Clinics of North America. 2020;58(6):1115-1133. DOI: 10.1016/j.rcl.2020.07.009
  30. 30. Vitale G, Tortora F, Baldelli R, Cocchiara F, Paragliola RM, Sbardella E, et al. Pituitary magnetic resonance imaging in Cushing’s disease. Endocrine. 2017;55(3):691-696. DOI: 10.1007/s12020-016-1038-y
  31. 31. Liu Z, Zhang X, Wang Z, You H, Li M, Feng F, et al. High positive predictive value of the combined pituitary dynamic enhanced MRI and high-dose dexamethasone suppression tests in the diagnosis of Cushing’s disease bypassing bilateral inferior petrosal sinus sampling. Scientific Reports. 2020;10(1):14694. DOI: 10.1038/s41598-020-71628-0
  32. 32. Tabarin A, Laurent F, Catargi B, Olivier-Puel F, Lescene R, Berge J, et al. Comparative evaluation of conventional and dynamic magnetic resonance imaging of the pituitary gland for the diagnosis of Cushing’s disease. Clinical Endocrinology. 1998;49(3):293-300. DOI: 10.1046/j.1365-2265.1998.00541.x
  33. 33. Lee MD, Young MG, Fatterpekar GM. “The Pituitary within GRASP”—Golden-angle radial sparse parallel dynamic MRI technique and applications to the pituitary gland. Seminars in Ultrasound, CT, and MR. 2021;42(3):307-315. DOI: 10.1053/j.sult.2021.04.007
  34. 34. Taheri MS, Ghomi Z, Mirshahi R, Moradpour M, Niroomand M, Yarmohamadi P, et al. Usefulness of subtraction images for accurate diagnosis of pituitary microadenomas in dynamic contrast-enhanced magnetic resonance imaging. Acta Radiologica. 2022;2022:284. DOI: 10.1177/02841851221107344
  35. 35. Winkelmann S, Schaeffter T, Koehler T, Eggers H, Doessel O. An optimal radial profile order based on the Golden Ratio for time-resolved MRI. IEEE Transactions on Medical Imaging. 2007;26(1):68-76. DOI: 10.1109/TMI.2006.885337
  36. 36. Chandarana H, Feng L, Block TK, Rosenkrantz AB, Lim RP, Babb JS, et al. Free-breathing contrast-enhanced multiphase MRI of the liver using a combination of compressed sensing, parallel imaging, and golden-angle radial sampling. Investigative Radiology. 2013;48(1):10-16. DOI: 10.1097/RLI.0b013e318271869c
  37. 37. Otazo R, Kim D, Axel L, Sodickson DK. Combination of compressed sensing and parallel imaging for highly accelerated first-pass cardiac perfusion MRI. Magnetic Resonance in Medicine. 2010;64(3):767-776. DOI: 10.1002/mrm.22463
  38. 38. Hainc N, Stippich C, Reinhardt J, Stieltjes B, Blatow M, Mariani L, et al. Golden-angle radial sparse parallel (GRASP) MRI in clinical routine detection of pituitary microadenomas: First experience and feasibility. Magnetic Resonance Imaging. 2019;60:38-43. DOI: 10.1016/j.mri.2019.03.015
  39. 39. Huang L, Fatterpekar G, Charles S, Golub D, Zagzag D, Agrawal N. Clinical course and unique features of silent corticotroph adenomas. World Neurosurgery. 2022;161:e274-ee81. DOI: 10.1016/j.wneu.2022.01.119
  40. 40. Rossi Espagnet MC, Bangiyev L, Haber M, Block KT, Babb J, Ruggiero V, et al. High-resolution DCE-MRI of the pituitary gland using radial k-space acquisition with compressed sensing reconstruction. AJNR. American Journal of Neuroradiology. 2015;36(8):1444-1449. DOI: 10.3174/ajnr.A4324
  41. 41. Sen R, Sen C, Pack J, Block KT, Golfinos JG, Prabhu V, et al. Role of high-resolution dynamic contrast-enhanced MRI with Golden-angle radial sparse parallel reconstruction to identify the Normal pituitary gland in patients with macroadenomas. AJNR. American Journal of Neuroradiology. 2017;38(6):1117-1121. DOI: 10.3174/ajnr.A5244
  42. 42. Fatemi N, Dusick JR, Mattozo C, McArthur DL, Cohan P, Boscardin J, et al. Pituitary hormonal loss and recovery after transsphenoidal adenoma removal. Neurosurgery. 2008;63(4):709-718. DOI: 10.1227/01.NEU.0000325725.77132.90
  43. 43. Challis BG, Powlson AS, Casey RT, Pearson C, Lam BY, Ma M, et al. Adult-onset hyperinsulinaemic hypoglycaemia in clinical practice: Diagnosis, aetiology and management. Endocrine Connections. 2017;6(7):540-548. DOI: 10.1530/EC-17-0076
  44. 44. Tjornstrand A, Casar-Borota O, Heurling K, Scholl M, Gjertsson P, Himmelman J, et al. Lower (68) Ga-DOTATOC uptake in nonfunctioning pituitary neuroendocrine tumours compared to normal pituitary gland-A proof-of-concept study. Clinical Endocrinology. 2020;92(3):222-231. DOI: 10.1111/cen.14144
  45. 45. Khan S, Lloyd C, Szyszko T, Win Z, Rubello D, Al-Nahhas A. PET imaging in endocrine tumours. Minerva Endocrinologica. 2008;33(2):41-52
  46. 46. Nielsen S, Mellemkjaer S, Rasmussen LM, Ledet T, Olsen N, Bojsen-Moller M, et al. Expression of somatostatin receptors on human pituitary adenomas in vivo and ex vivo. Journal of Endocrinological Investigation. 2001;24(6):430-437. DOI: 10.1007/BF03351043
  47. 47. Wang H, Hou B, Lu L, Feng M, Zang J, Yao S, et al. PET/MRI in the diagnosis of hormone-producing pituitary microadenoma: A prospective pilot study. Journal of Nuclear Medicine. 2018;59(3):523-528. DOI: 10.2967/jnumed.117.191916
  48. 48. Joshi P, Lele V, Gandhi R. Incidental detection of clinically occult follicle stimulating hormone secreting pituitary adenoma on whole body 18-Fluorodeoxyglucose positron emission tomography-computed tomography. Indian Journal of Nuclear Medicine. 2011;26(1):34-35. DOI: 10.4103/0972-3919.84611
  49. 49. Ding Y, Wu S, Xu J, Wang H, Ma C. Pituitary 18F-FDG uptake correlates with serum TSH levels in thyroid cancer patients on 18F-FDG PET/CT. Nuclear Medicine Communications. 2019;40(1):57-62. DOI: 10.1097/MNM.0000000000000940
  50. 50. Zhou J, Ju H, Zhu L, Pan Y, Lv J, Zhang Y. Value of fluorine-18-fluorodeoxyglucose PET/CT in localizing the primary lesion in adrenocorticotropic hormone-dependent Cushing syndrome. Nuclear Medicine Communications. 2019;40(5):539-544. DOI: 10.1097/MNM.0000000000000989
  51. 51. Jeong SY, Lee SW, Lee HJ, Kang S, Seo JH, Chun KA, et al. Incidental pituitary uptake on whole-body 18F-FDG PET/CT: A multicentre study. European Journal of Nuclear Medicine and Molecular Imaging. 2010;37(12):2334-2343. DOI: 10.1007/s00259-010-1571-5
  52. 52. Alzahrani AS, Farhat R, Al-Arifi A, Al-Kahtani N, Kanaan I, Abouzied M. The diagnostic value of fused positron emission tomography/computed tomography in the localization of adrenocorticotropin-secreting pituitary adenoma in Cushing’s disease. Pituitary. 2009;12(4):309-314. DOI: 10.1007/s11102-009-0180-4
  53. 53. Iglesias P, Cardona J, Diez JJ. The pituitary in nuclear medicine imaging. European Journal of Internal Medicine. 2019;68:6-12. DOI: 10.1016/j.ejim.2019.08.008
  54. 54. Seok H, Lee EY, Choe EY, Yang WI, Kim JY, Shin DY, et al. Analysis of 18F-fluorodeoxyglucose positron emission tomography findings in patients with pituitary lesions. The Korean Journal of Internal Medicine. 2013;28(1):81-88. DOI: 10.3904/kjim.2013.28.1.81
  55. 55. Feng Z, He D, Mao Z, Wang Z, Zhu Y, Zhang X, et al. Utility of 11C-methionine and 18F-FDG PET/CT in patients with functioning pituitary adenomas. Clinical Nuclear Medicine. 2016;41(3):e130-e134. DOI: 10.1097/RLU.0000000000001085
  56. 56. Zhao X, Xiao J, Xing B, Wang R, Zhu Z, Li F. Comparison of (68)Ga DOTATATE to 18F-FDG uptake is useful in the differentiation of residual or recurrent pituitary adenoma from the remaining pituitary tissue after transsphenoidal adenomectomy. Clinical Nuclear Medicine. 2014;39(7):605-608. DOI: 10.1097/RLU.0000000000000457
  57. 57. Zhang F, He Q , Luo G, Long Y, Li R, Ding L, et al. The combination of (13)N-ammonia and (11)C-methionine in differentiation of residual/recurrent pituitary adenoma from the pituitary gland remnant after trans-sphenoidal Adenomectomy. BMC Cancer. 2021;21(1):837. DOI: 10.1186/s12885-021-08574-1
  58. 58. Bashari WA, van der Meulen M, MacFarlane J, Gillett D, Senanayake R, Serban L, et al. (11)C-methionine PET aids localization of microprolactinomas in patients with intolerance or resistance to dopamine agonist therapy. Pituitary. 2022;25(4):573-586. DOI: 10.1007/s11102-022-01229-9
  59. 59. Koulouri O, Steuwe A, Gillett D, Hoole AC, Powlson AS, Donnelly NA, et al. A role for 11C-methionine PET imaging in ACTH-dependent Cushing’s syndrome. European Journal of Endocrinology. 2015;173(4):M107-M120. DOI: 10.1530/EJE-15-0616
  60. 60. Berkmann S, Roethlisberger M, Mueller B, Christ-Crain M, Mariani L, Nitzsche E, et al. Selective resection of cushing microadenoma guided by preoperative hybrid 18-fluoroethyl-L-tyrosine and 11-C-methionine PET/MRI. Pituitary. 2021;24(6):878-886. DOI: 10.1007/s11102-021-01160-5
  61. 61. Tomura N, Saginoya T, Mizuno Y, Goto H. Accumulation of (11)C-methionine in the normal pituitary gland on (11)C-methionine PET. Acta Radiologica. 2017;58(3):362-366. DOI: 10.1177/0284185116651005
  62. 62. Koulouri O, Kandasamy N, Hoole AC, Gillett D, Heard S, Powlson AS, et al. Successful treatment of residual pituitary adenoma in persistent acromegaly following localisation by 11C-methionine PET co-registered with MRI. European Journal of Endocrinology. 2016;175(5):485-498. DOI: 10.1530/EJE-16-0639
  63. 63. Rodriguez-Barcelo S, Gutierrez-Cardo A, Dominguez-Paez M, Medina-Imbroda J, Romero-Moreno L, Arraez-Sanchez M. Clinical usefulness of coregistered 11C-methionine positron emission tomography/3-T magnetic resonance imaging at the follow-up of acromegaly. World Neurosurgery. 2014;82(3-4):468-473. DOI: 10.1016/j.wneu.2013.11.011
  64. 64. Ding W, Huang Z, Zhou G, Li L, Zhang M, Li Z. Diffusion-weighted imaging for predicting tumor consistency and extent of resection in patients with pituitary adenoma. Neurosurgical Review. 2021;44(5):2933-2941. DOI: 10.1007/s10143-020-01469-y
  65. 65. Sitthinamsuwan B, Khampalikit I, Nunta-aree S, Srirabheebhat P, Witthiwej T, Nitising A. Predictors of meningioma consistency: A study in 243 consecutive cases. Acta Neurochirurgica. 2012;154(8):1383-1389. DOI: 10.1007/s00701-012-1427-9
  66. 66. Yao A, Rutland JW, Verma G, Banihashemi A, Padormo F, Tsankova NM, et al. Pituitary adenoma consistency: Direct correlation of ultrahigh field 7T MRI with histopathological analysis. European Journal of Radiology. 2020;126:108931. DOI: 10.1016/j.ejrad.2020.108931
  67. 67. Smith KA, Leever JD, Chamoun RB. Predicting consistency of meningioma by magnetic resonance imaging. Journal of Neurological Surgery B Skull Base. 2015;76(3):225-229. DOI: 10.1055/s-0034-1543965
  68. 68. Winter F, Furtner J, Pleyel A, Woehrer A, Callegari K, Hosmann A, et al. How to predict the consistency and vascularity of meningiomas by MRI: An institutional experience. Neurological Research. 2021;43(8):693-699. DOI: 10.1080/01616412.2021.1922171
  69. 69. Fernandez A, Karavitaki N, Wass JA. Prevalence of pituitary adenomas: A community-based, cross-sectional study in Banbury (Oxfordshire, UK). Clinical Endocrinology. 2010;72(3):377-382. DOI: 10.1111/j.1365-2265.2009.03667.x
  70. 70. Tresoldi AS, Carosi G, Betella N, Del Sindaco G, Indirli R, Ferrante E, et al. Clinically nonfunctioning pituitary incidentalomas: Characteristics and natural history. Neuroendocrinology. 2020;110(7-8):595-603. DOI: 10.1159/000503256
  71. 71. Lania A, Beck-Peccoz P. Pituitary incidentalomas. Best Practice & Research. Clinical Endocrinology & Metabolism. 2012;26(4):395-403. DOI: 10.1016/j.beem.2011.10.009
  72. 72. Giraldi E, Allen JW, Ioachimescu AG. Pituitary incidentalomas: Best practices and looking ahead. Endocrine Practice. 2023;29(1):60-68. doi: 10.1016/j.eprac.2022.10.004
  73. 73. Karimian-Jazi K. Pituitary gland tumors. Der Radiologe. 2019;59(11):982-991. DOI: 10.1007/s00117-019-0570-1
  74. 74. Feng L, Grimm R, Block KT, Chandarana H, Kim S, Xu J, et al. Golden-angle radial sparse parallel MRI: Combination of compressed sensing, parallel imaging, and golden-angle radial sampling for fast and flexible dynamic volumetric MRI. Magnetic Resonance in Medicine. 2014;72(3):707-717. DOI: 10.1002/mrm.24980
  75. 75. Larkin S, Karavitaki N, Ansorge O. Rathke’s cleft cyst. Handbook of Clinical Neurology. 2014;124:255-269. DOI: 10.1016/B978-0-444-59602-4.00017-4
  76. 76. Wang S, Nie Q , Wu Z, Zhang J, Wei L. MRI and pathological features of Rathke cleft cysts in the sellar region. Experimental and Therapeutic Medicine. 2020;19(1):611-618. DOI: 10.3892/etm.2019.8272
  77. 77. Muller HL, Merchant TE, Warmuth-Metz M, Martinez-Barbera JP, Puget S. Craniopharyngioma. Natural Review in Diseases Primers. 2019;5(1):75. DOI: 10.1038/s41572-019-0125-9
  78. 78. Shikuma J, Kan K, Ito R, Hara K, Sakai H, Miwa T, et al. Critical review of IgG4-related hypophysitis. Pituitary. 2017;20(2):282-291. DOI: 10.1007/s11102-016-0773-7
  79. 79. Iravani A, Osman MM, Weppler AM, Wallace R, Galligan A, Lasocki A, et al. FDG PET/CT for tumoral and systemic immune response monitoring of advanced melanoma during first-line combination ipilimumab and nivolumab treatment. European Journal of Nuclear Medicine and Molecular Imaging. 2020;47(12):2776-2786. DOI: 10.1007/s00259-020-04815-w
  80. 80. Mekki A, Dercle L, Lichtenstein P, Nasser G, Marabelle A, Champiat S, et al. Machine learning defined diagnostic criteria for differentiating pituitary metastasis from autoimmune hypophysitis in patients undergoing immune checkpoint blockade therapy. European Journal of Cancer. 2019;119:44-56. DOI: 10.1016/j.ejca.2019.06.020
  81. 81. Angelousi A, Cohen C, Sosa S, Danilowicz K, Papanastasiou L, Tsoli M, et al. Clinical, endocrine and imaging characteristics of patients with primary Hypophysitis. Hormone and Metabolic Research. 2018;50(4):296-302. DOI: 10.1055/s-0044-101036
  82. 82. Lasocki A, Iravani A, Galligan A. The imaging of immunotherapy-related hypophysitis and other pituitary lesions in oncology patients. Clinical Radiology. 2021;76(5):325-332. DOI: 10.1016/j.crad.2020.12.028
  83. 83. Tosaka M, Higuchi T, Horiguchi K, Osawa T, Arisaka Y, Fujita H, et al. Preoperative evaluation of Sellar and Parasellar macrolesions by [(18)F]Fluorodeoxyglucose positron emission tomography. World Neurosurgery. 2017;103:591-599. DOI: 10.1016/j.wneu.2017.04.032

Written By

Youtu Wu

Submitted: 13 December 2022 Reviewed: 03 January 2023 Published: 30 January 2023