Literature DB >> 26550206

Relationship between pituitary adenoma texture and collagen content revealed by comparative study of MRI and pathology analysis.

Liangfeng Wei1, Shun-An Lin1, Kaichun Fan2, Deyong Xiao1, Jingfang Hong1, Shousen Wang1.   

Abstract

This study is to reveal the relationship between pituitary adenomas and tumor texture by comparing MRI and pathologic results. Preoperative imaging data of 38 cases of pituitary adenoma patients and collagen content of tumor specimens measured by histopathological were analyzed and compared. T2WI and diffusion coefficient assessment were used to reveal the relationship between tumor texture and collagen content. There were 13 cases of soft texture, 17 cases of medium texture and 8 cases of tough texture tumors. Signal intensity of different texture Pituitary adenomas had significant difference on T2WI and ADC map (P < 0.05). The signal intensity ratio of tumor and pons on T2WI had high consistency with tumor texture. Mean collagen contents of soft, medium and tough texture group were 1.51% ± 0.91%, 7.35% ± 2.99% and 18.10% ± 8.24%, respectively. There were significant differences in collagen content of different texture tumors (P < 0.01). The signal intensity of T2WI and ADC images have prediction value for pituitary adenomas texture and T2WI is more reliable.

Entities:  

Keywords:  ADC; MRI; Pituitary adenoma; T2WI; collagen content; texture

Year:  2015        PMID: 26550206      PMCID: PMC4612891     

Source DB:  PubMed          Journal:  Int J Clin Exp Med        ISSN: 1940-5901


  14 in total

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Authors:  J A Jane; E R Laws
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2.  Preoperative MRI evaluation of pituitary macroadenoma: imaging features predictive of successful transsphenoidal surgery.

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3.  Role of PROPELLER diffusion-weighted imaging and apparent diffusion coefficient in the evaluation of pituitary adenomas.

Authors:  Omar M Mahmoud; Atsushi Tominaga; Vishwa Jeet Amatya; Megu Ohtaki; Kazuhiko Sugiyama; Tetsuhiko Sakoguchi; Yasuyuki Kinoshita; Yukio Takeshima; Nobukazu Abe; Yuji Akiyama; Ahmad I El-Ghoriany; Abdel Karim H Abd Alla; Mostafa A M El-Sharkawy; Kazunori Arita; Kaoru Kurisu; Fumiyuki Yamasaki
Journal:  Eur J Radiol       Date:  2010-06-26       Impact factor: 3.528

4.  Pituitary macroadenomas: preoperative evaluation of consistency with diffusion-weighted MR imaging--initial experience.

Authors:  Alberto Pierallini; Francesca Caramia; Carlo Falcone; Emanuele Tinelli; Amalia Paonessa; Alessia Bernardo Ciddio; Marco Fiorelli; Federico Bianco; Stefania Natalizi; Luigi Ferrante; Luigi Bozzao
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Authors:  Wael Musleh; Adam M Sonabend; Maciej S Lesniak
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6.  To assess the ability of MRI to predict consistency of pituitary macroadenomas.

Authors:  B Bahuleyan; L Raghuram; V Rajshekhar; A G Chacko
Journal:  Br J Neurosurg       Date:  2006-10       Impact factor: 1.596

7.  Apparent diffusion coefficient of pituitary macroadenoma evaluated with line-scan diffusion-weighted imaging.

Authors:  C Suzuki; M Maeda; K Hori; Y Kozuka; H Sakuma; W Taki; K Takeda
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10.  Technical considerations of transsphenoidal removal of fibrous pituitary adenomas and evaluation of collagen content and subtype in the adenomas.

Authors:  Hirofumi Naganuma; Eiji Satoh; Hideaki Nukui
Journal:  Neurol Med Chir (Tokyo)       Date:  2002-05       Impact factor: 1.742

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  11 in total

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Journal:  Med Phys       Date:  2016-06       Impact factor: 4.071

3.  Diffusion-weighted imaging for predicting tumor consistency and extent of resection in patients with pituitary adenoma.

Authors:  Wei Ding; Zheng Huang; Gaofeng Zhou; Lang Li; Mingyu Zhang; Zhenyan Li
Journal:  Neurosurg Rev       Date:  2021-01-28       Impact factor: 3.042

4.  Relationship between postoperative volume of macroadenomas and clinical outcome after endoscopic trans-sphenoidal resection.

Authors:  Valeria Onofrj; Carina Vallejo; Paulo Puac; Carlos Zamora; Mauricio Castillo
Journal:  Neuroradiol J       Date:  2018-08-09

5.  Interpretable Machine Learning-Based Prediction of Intraoperative Cerebrospinal Fluid Leakage in Endoscopic Transsphenoidal Pituitary Surgery: A Pilot Study.

Authors:  Pier Paolo Mattogno; Valerio M Caccavella; Martina Giordano; Quintino G D'Alessandris; Sabrina Chiloiro; Leonardo Tariciotti; Alessandro Olivi; Liverana Lauretti
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6.  Predicting pituitary adenoma consistency with preoperative magnetic resonance elastography.

Authors:  Salomon Cohen-Cohen; Ahmed Helal; Ziying Yin; Matthew K Ball; Richard L Ehman; Jamie J Van Gompel; John Huston
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7.  Prediction of high proliferative index in pituitary macroadenomas using MRI-based radiomics and machine learning.

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8.  The utility of dynamic MRI in differentiating the hormone-producing ability of pituitary adenomas.

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Review 9.  Clinical relevance of tumor consistency in pituitary adenoma.

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Journal:  Hormones (Athens)       Date:  2021-06-19       Impact factor: 2.885

10.  Relationship Between Pituitary Adenoma Consistency and Extent of Resection Based on Tumor/Cerebellar Peduncle T2-Weighted Imaging Intensity (TCTI) Ratio of the Point on Preoperative Magnetic Resonance Imaging (MRI) Corresponding to the Residual Point on Postoperative MRI.

Authors:  Xiao-Yong Chen; Chen-Yu Ding; Hong-Hai You; Jin-Yuan Chen; Chang-Zhen Jiang; Xiao-Rong Yan; Zhang-Ya Lin; De-Zhi Kang
Journal:  Med Sci Monit       Date:  2020-01-06
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