Literature DB >> 2352598

Is magnetic resonance imaging useful in guiding the operative approach to large pituitary tumors?

R B Snow1, C E Johnson, S Morgello, M H Lavyne, R H Patterson.   

Abstract

Forty-two patients with large pituitary tumors were studied with magnetic resonance imaging scans. Based on the operative findings, the tumors were divided into two groups. Tumors in Group 1 (n = 35) were soft or partially necrotic and were easily removed by suction and curettage. Tumors in Group 2 (n = 7) were firm and required sharp dissection or use of the laser for removal. Tumors were divided into two groups based on the long TR signal: a) isointense in comparison with white matter, or b) hyperintense in comparison with white matter. All 7 firm tumors (Group 2) had an isointense signal on long TR sequences. Thirty-two of 35 soft tumors showed a hyperintense signal on long TR sequences, and 3 an isointense signal. Based on these results, we recommend a transsphenoidal approach for the initial operation in patients with large pituitary tumors. If the tumor is largely isointense on the magnetic resonance imaging scan, we discuss with the patient preoperatively the possibility (70% in this series) that the tumor may be too firm to remove in a single transsphenoidal procedure. In these circumstances, a second, transcranial, procedure may be required to decompress the suprasellar structures adequately.

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Year:  1990        PMID: 2352598     DOI: 10.1097/00006123-199005000-00011

Source DB:  PubMed          Journal:  Neurosurgery        ISSN: 0148-396X            Impact factor:   4.654


  9 in total

1.  Microsurgical management of giant pituitary tumors.

Authors:  W A King; G E Rodts; D P Becker; D Q Mc Bride
Journal:  Skull Base Surg       Date:  1996

2.  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

3.  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

4.  Magnetic resonance elastography detects tumoral consistency in pituitary macroadenomas.

Authors:  Joshua D Hughes; Nikoo Fattahi; J Van Gompel; Arvin Arani; Richard Ehman; John Huston
Journal:  Pituitary       Date:  2016-06       Impact factor: 4.107

5.  Transsphenoidal resection of pituitary adenomas in an intraoperative MRI unit.

Authors:  C H Martin; R Schwartz; F Jolesz; P M Black
Journal:  Pituitary       Date:  1999-08       Impact factor: 4.107

6.  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
Journal:  J Neurol Surg B Skull Base       Date:  2022-01-16

7.  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

8.  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

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

Authors:  Alberto Acitores Cancela; Víctor Rodríguez Berrocal; Héctor Pian; Juan Salvador Martínez San Millán; Juan José Díez; Pedro Iglesias
Journal:  Hormones (Athens)       Date:  2021-06-19       Impact factor: 2.885

  9 in total

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