Literature DB >> 9810444

MRI prediction of fibrous pituitary adenomas.

T Iuchi1, N Saeki, M Tanaka, K Sunami, A Yamaura.   

Abstract

The transsphenoidal approach is a less invasive and safer procedure for removing pituitary adenomas. However, this procedure becomes extremely difficult when the tumour consistency is fibrous as encountered in about 10% of pituitary adenomas. In this study, we investigated predicting factors of tumour consistency in magnetic resonance images (MRIs). MRIs of two groups, twenty-one soft and five firm (fibrous) adenomas, were retrospectively evaluated and compared in respect of tumour consistency. To compare the two groups objectively, tumour densities on MRI films and percentage of collagen content on operative specimens were expressed as numerical data using NIH-image. The relationships between collagen content and T1-weighted images, T2-weighted images, grade of enhancement effect, and heterogeneity of enhancement were investigated. Signal intensities on T1-weighted images were not correlated with tumour consistency, whereas those on T2-weighted images were significantly correlated with the percentage of collagen content. Adenomas, showing lower signal intensities on T2-weighted images, contained more collagen. On enhanced images, homogeneously enhanced adenomas tended to include more collagen, even though the grade of enhancement effect showed only weak correlation with the tumour hardness. MRIs give us useful information on tumour consistency. Adenomas may be firm and fibrous if they show low signal intensities on T2-weighted images and homogeneous enhancement. To remove such tumours, a long sized and small-calibred ultrasonic aspirators applicable to transsphenoidal approach must be prepared and multistaged operations may be more than likely needed.

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Year:  1998        PMID: 9810444     DOI: 10.1007/s007010050179

Source DB:  PubMed          Journal:  Acta Neurochir (Wien)        ISSN: 0001-6268            Impact factor:   2.216


  18 in total

1.  Low-field MR imaging of meningiomas including dynamic contrast enhancement study: evaluation of surgical and histopathologic characteristics.

Authors:  S K Yrjänä; H Tuominen; A Karttunen; N Lähdesluoma; E Heikkinen; J Koivukangas
Journal:  AJNR Am J Neuroradiol       Date:  2006 Nov-Dec       Impact factor: 3.825

2.  Intensity of prolactinoma on T2-weighted magnetic resonance imaging: towards another gender difference.

Authors:  Julie Kreutz; Laurent Vroonen; Francoise Cattin; Patrick Petrossians; Albert Thiry; Liliya Rostomyan; Luaba Tshibanda; Albert Beckers; Jean-François Bonneville
Journal:  Neuroradiology       Date:  2015-04-07       Impact factor: 2.804

3.  Predictive role of dynamic contrast enhanced T1-weighted MR sequences in pre-surgical evaluation of macroadenomas consistency.

Authors:  Andrea Romano; Valeria Coppola; Mariangela Lombardi; Luigi Lavorato; Domenica Di Stefano; Emanuela Caroli; Maria Camilla Rossi Espagnet; Francesca Tavanti; Giuseppe Minniti; Giuseppe Trillò; Alessandro Bozzao
Journal:  Pituitary       Date:  2017-04       Impact factor: 4.107

4.  Tumor to Cerebellar Peduncle T2-Weighted Imaging Intensity Ratio Fails to Predict Pituitary Adenoma Consistency.

Authors:  Panagiotis Mastorakos; Gautam U Mehta; Ajay Chatrath; Shayan Moosa; Maria-Beatriz Lopes; Spencer C Payne; John A Jane
Journal:  J Neurol Surg B Skull Base       Date:  2018-08-24

5.  Parasellar T2 dark sign on MR imaging in patients with lymphocytic hypophysitis.

Authors:  Y Nakata; N Sato; T Masumoto; H Mori; H Akai; H Nobusawa; Y Adachi; H Oba; K Ohtomo
Journal:  AJNR Am J Neuroradiol       Date:  2010-07-22       Impact factor: 3.825

6.  MRI T2 hypointensity of metastatic brain tumors from gastric and colonic cancers.

Authors:  Hirofumi Hirano; Shunichi Yokoyama; Shunji Yunoue; Hajime Yonezawa; Kazutaka Yatsushiro; Takako Yoshioka; Ryosuke Hanaya; Hiroshi Tokimura; Kazunori Arita
Journal:  Int J Clin Oncol       Date:  2013-07-17       Impact factor: 3.402

7.  Prediction of Consistency of Pituitary Adenomas by Magnetic Resonance Imaging.

Authors:  Kyle A Smith; John D Leever; Roukoz B Chamoun
Journal:  J Neurol Surg B Skull Base       Date:  2015-04-27

8.  Correlation of MMP(1) and TIMP (1) expression with pituitary adenoma fibrosis.

Authors:  Hui Wang; Wen-Sheng Li; De-Jin Shi; Zhuo-Peng Ye; Feng Tai; Hai-Yong He; Chao-Feng Liang; Jin Gong; Ying Guo
Journal:  J Neurooncol       Date:  2008-07-05       Impact factor: 4.130

9.  Shear Stiffness of 4 Common Intracranial Tumors Measured Using MR Elastography: Comparison with Intraoperative Consistency Grading.

Authors:  N Sakai; Y Takehara; S Yamashita; N Ohishi; H Kawaji; T Sameshima; S Baba; H Sakahara; H Namba
Journal:  AJNR Am J Neuroradiol       Date:  2016-06-23       Impact factor: 3.825

10.  Cabergoline-induced fibrosis of prolactinomas: a neurosurgical perspective.

Authors:  Niraj Mohan; Yi Yan Chia; Giap Hean Goh; Eric Ting; Kejia Teo; Tseng Tsai Yeo
Journal:  BMJ Case Rep       Date:  2017-11-03
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