Literature DB >> 26401474

Prediction of Consistency of Pituitary Adenomas by Magnetic Resonance Imaging.

Kyle A Smith1, John D Leever2, Roukoz B Chamoun1.   

Abstract

Objective Pituitary adenomas are typically soft. The prevalence of fibrous adenomas is ∼ 5 to 13%. Firm tumors are difficult to remove by curettage or suction. Predicting fibrous adenomas by magnetic resonance (MR) imaging is typically difficult and unreliable. We propose a new prediction method based on MR T2-sequence intensity. Methods The MRIs of 36 consecutive patients with nonsecreting macroadenomas were evaluated preoperatively by a blinded radiologist. Using an MR T2-weighted sequence, regions of interest were sampled from the adenoma and cerebellar peduncle, and the ratio was calculated. Intraoperatively, tumors were graded prospectively for their consistency by the operating surgeon. Results There were 28 soft and 6 fibrous tumors. Unpaired t test for these ratios was found to be statistically significant (p < 0.0240; 95% confidence interval, -0.8229 to -0.06207). Mean values for soft tumors were found to be 1.918 (standard error of the mean [SEM] = 0.08212); firm tumors, 1.475 (SEM = 0.1179). Soft tumors were associated with ratios > 1.5 (sensitivity 100%; specificity 66.7%); firm tumors were associated with ratios < 1.8 (sensitivity 100%; specificity 42.9%). Conclusion Fibrous adenomas are typically diagnosed intraoperatively. However, their resection can be technically challenging. Using T2 intensity ratios on routine preoperative MRI allows identification of these challenging cases. The surgeon can then be better prepared for the surgical resection.

Entities:  

Keywords:  MRI; adenoma consistency; endoscopic transsphenoidal; fibrous adenomas; pituitary adenomas

Year:  2015        PMID: 26401474      PMCID: PMC4569502          DOI: 10.1055/s-0035-1549005

Source DB:  PubMed          Journal:  J Neurol Surg B Skull Base        ISSN: 2193-634X


  7 in total

1.  Comparison of growth hormone-producing and non-growth hormone-producing pituitary adenomas: imaging characteristics and pathologic correlation.

Authors:  Akira Hagiwara; Yuichi Inoue; Kenichi Wakasa; Tomoko Haba; Takahiko Tashiro; Takeshi Miyamoto
Journal:  Radiology       Date:  2003-06-20       Impact factor: 11.105

2.  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

3.  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
Journal:  Radiology       Date:  2006-02-01       Impact factor: 11.105

4.  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

5.  Growth hormone-producing pituitary adenomas: MR characteristics and pre- and postoperative evaluation.

Authors:  S Chakrabortty; S Oi; M Yamaguchi; N Tamaki; S Matsumoto
Journal:  Neurol Med Chir (Tokyo)       Date:  1993-02       Impact factor: 1.742

6.  MRI prediction of fibrous pituitary adenomas.

Authors:  T Iuchi; N Saeki; M Tanaka; K Sunami; A Yamaura
Journal:  Acta Neurochir (Wien)       Date:  1998       Impact factor: 2.216

7.  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

  7 in total
  9 in total

1.  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

2.  A Scoring System That Predicts Difficult Lipoma Resection: Logistic Regression and Tenfold Cross-Validation Analysis.

Authors:  Goh Akiyama; Shimpei Ono; Tetsuro Sekine; Satoshi Usami; Rei Ogawa
Journal:  Dermatol Ther (Heidelb)       Date:  2022-10-07

3.  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
Journal:  J Neurosurg       Date:  2021-10-29       Impact factor: 5.408

Review 4.  Utility of preoperative meningioma consistency measurement with magnetic resonance elastography (MRE): a review.

Authors:  Alexander G Chartrain; Mehmet Kurt; Amy Yao; Rui Feng; Kambiz Nael; J Mocco; Joshua B Bederson; Priti Balchandani; Raj K Shrivastava
Journal:  Neurosurg Rev       Date:  2017-05-31       Impact factor: 3.042

Review 5.  The Microenvironment of Pituitary Tumors-Biological and Therapeutic Implications.

Authors:  Mirela Diana Ilie; Alexandre Vasiljevic; Gérald Raverot; Philippe Bertolino
Journal:  Cancers (Basel)       Date:  2019-10-21       Impact factor: 6.639

6.  Prediction of pituitary adenoma surgical consistency: radiomic data mining and machine learning on T2-weighted MRI.

Authors:  Renato Cuocolo; Lorenzo Ugga; Domenico Solari; Sergio Corvino; Alessandra D'Amico; Daniela Russo; Paolo Cappabianca; Luigi Maria Cavallo; Andrea Elefante
Journal:  Neuroradiology       Date:  2020-07-23       Impact factor: 2.804

7.  Application of "mosiac sign" on T2-WI in predicting the consistency of pituitary neuroendocrine tumors.

Authors:  Ding Nie; Peng Zhao; Chuzhong Li; Chunhui Liu; Haibo Zhu; Songbai Gui; Yazhuo Zhang; Lei Cao
Journal:  Front Surg       Date:  2022-07-26

8.  Clinical usefulness of 99mTc-HYNIC-TOC, 99mTc(V)-DMSA, and 99mTc-MIBI SPECT in the evaluation of pituitary adenomas.

Authors:  Vladimir R Vukomanovic; Milovan Matovic; Mirjana Doknic; Vesna Ignjatovic; Ivana Simic Vukomanovic; Svetlana Djukic; Miodrag Peulic; Aleksandar Djukic
Journal:  Nucl Med Commun       Date:  2019-01       Impact factor: 1.690

9.  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
  9 in total

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