Magnetic resonance imaging for pituitary neuroendocrine tumor diagnosis


Magnetic resonance imaging is the most useful imaging technique in the pituitary neuroendocrine tumor diagnosis. The popular Magnetic resonance imaging sequences are spin-echo (SE) non-contrast T1-weighted sagittal and coronal plane sections, fast spin echo T2 weighted image in coronal plane sections, and contrast-enhanced T1-weighted coronal plane sections. For simplescreening examinations, only non-contrast MRI is performed and contrast-enhanced MRI may not be performed. Axial T2-weighted or fluid-attenuated inversion recovery imaging of the whole brain is also recommended to exclude incidental or concurrent brain lesions.

MRI of the pituitary gland requires some ingenuity because of its small size, its proximity to bone and sinusoidal air, and the proximity of the internal carotid artery. To obtain images with high spatial resolution, slice thickness should be ≤ 3 mm, and the fine matrix (256 × 256 or more) setting with a small field of view (≤ 20 cm) should be used 1)


The basic requirements and elements should be covered by magnetic resonance imaging 2)


Kurosaki reported the clinical experience with MRI for pituitary neuroendocrine tumors(PitNETs)with reference to histopathological findings through a review of the literature. A previous study indicated that the three dimensional-spoiled gradient echo(3D-SPGR)sequence is suitable for evaluating sellar lesions on a postcontrast T1 weighted image(T1WI). This image demonstrates a defined relationship between the tumor and its surroundings, such as the normal pituitary gland, cavernous sinus, and optic pathway. This 3D-SPGR sequence is also suitable for detecting microtumors in corticotroph PitNETs. In somatotroph PitNETs, the signal intensity on T2WI is important to differentiate densely granulated tumors from sparsely granulated somatotroph tumors. In lactotroph PitNETs, distinct hypointense areas in the early phase on T2WI, possibly due to diffuse hemorrhage, indicate pronounced regression of invasive macroprolactinomas during cabergoline therapy 3)


Because the WHO classification made an important and significant change in the fundamental concept of the disease, the imaging diagnosis (magnetic resonance imaging, computed tomography, and positron emission tomography) of PitNET/pituitary adenoma in detail, considering these revisions as per the latest version of the WHO classification 4)


It is commonly used in the evaluation of pituitary neuroendocrine tumors (PAs). However, it has difficulty to locate the lesions sometimes, especially microadenomas and/or postoperative recurrent tumors. On the MRI they can present various enhancement patterns and other imaging features. About 18% of macroadenomas contain cystic components, and about 20% show foci of hemorrhage, which are usually clinically asymptomatic and diagnosed incidentally in MR imaging.


Results did not show usefulness of the Diffusion-weighted magnetic resonance imaging and T1-weighted images for assessing the consistency of pituitary macroadenomas, nor as a predictor of the degree of surgical resection 5)


Pituitary microadenoma Magnetic resonance imaging

Pituitary macroadenoma Magnetic resonance imaging


1)
Kanagaki M, Sato N, Miki Y. Pituitary gland and parasellar region. In: Reiser MF, Semmler W, Hricak H, editors. Magnetic resonance tomography. Heidelberg: Springer; 2007. p. 399–432.
2)
Fajardo-Montañana C, Villar R, Gómez-Ansón B, Brea B, Mosqueira AJ, Molla E, Enseñat J, Riesgo P, Cardona-Arboniés J, Hernando O. Recommendations for the diagnosis and radiological follow-up of pituitary neuroendocrine tumours. Endocrinol Diabetes Nutr (Engl Ed). 2022 Nov;69(9):744-761. doi: 10.1016/j.endien.2021.10.014. Epub 2022 Nov 22. PMID: 36428207.
3)
Kurosaki M. [Neuroimaging of Pituitary Neuroendocrine Tumors]. No Shinkei Geka. 2023 Jul;51(4):634-641. Japanese. doi: 10.11477/mf.1436204796. PMID: 37491060.
4)
Tsukamoto T, Miki Y. Imaging of pituitary tumors: an update with the 5th WHO Classifications-part 1. Pituitary neuroendocrine tumor (PitNET)/pituitary adenoma. Jpn J Radiol. 2023 Aug;41(8):789-806. doi: 10.1007/s11604-023-01400-7. Epub 2023 Feb 24. Erratum in: Jpn J Radiol. 2023 Mar 24;: PMID: 36826759; PMCID: PMC10366012.
5)
Barbosa MA, Pereira EGR, da Mata Pereira PJ, Guasti AA, Andreiuolo F, Chimelli L, Kasuki L, Ventura N, Gadelha MR. Diffusion-weighted imaging does not seem to be a predictor of consistency in pituitary adenomas. Pituitary. 2024 Jan 25. doi: 10.1007/s11102-023-01377-6. Epub ahead of print. PMID: 38273189.
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