Literature DB >> 15191345

Clinical, hormonal and magnetic resonance imaging (MRI) predictors of transsphenoidal surgery outcome in acromegaly.

Aline Bourdelot1, Joel Coste, Vincent Hazebroucq, Stephan Gaillard, Laure Cazabat, Xavier Bertagna, Jérôme Bertherat.   

Abstract

OBJECTIVE: Progress in the treatment of acromegaly with drugs is making it necessary to improve the prediction of the outcome of transsphenoidal surgery.
DESIGN: We evaluated clinical, hormonal and radiologic predictors based on magnetic resonance imaging (MRI) of surgical outcome in patients with acromegaly.
METHODS: This retrospective analysis included 125 consecutive patients investigated for acromegaly in a single endocrine unit since the use of MRI imaging began (1988). Eighty-three of these patients (50 women) underwent transsphenoidal surgery and were investigated before and after surgery in our department. A neuroradiologist unaware of the surgical outcome analyzed the results of pituitary gland MRI investigations.
RESULTS: Surgical remission rates were 44%, 43%, 61% and 59% based on mean basal GH concentration under 2.5 microg/l, GH/oral glucose tolerance test (OGTT) of <1 microg/l, GH/OGTT of <2 microg/l or IGF-I concentration normal for age and sex respectively. In univariate logistic regression analysis with IGF-I concentration used as the criterion for cure, young age (P<0.001), high IGF-I concentration before surgery (P<0.01), high basal GH concentration before surgery (P<0.02), and high nadir GH/OGTT before surgery (P=0.03) were predictors of poor outcome. The following results in standardized MRI analysis were associated with a higher probability of not being cured: adenoma greater than 15 mm in diameter (P<0.02), infrasellar extension (P=0.04), suprasellar extension (P<0.005) and invasive adenoma (0.02) according to MRI staging. MRI analysis of the intracavernous extension showed that stages above B2 (possible sinus extension with sign of invasion of the space below the carotid artery) were associated with a lower probability of postoperative normal GH plasma levels (P=0.01). In multivariate analysis, age, preoperative hormonal levels and adenoma size remained the major predictors of surgical outcome.
CONCLUSIONS: This report provides the first evidence that detailed MRI analysis of adenoma size, location and potential invasion, together with preoperative clinical and hormonal parameters, can be used for the prediction of hormonal outcome after transsphenoidal surgery for acromegaly.

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Year:  2004        PMID: 15191345     DOI: 10.1530/eje.0.1500763

Source DB:  PubMed          Journal:  Eur J Endocrinol        ISSN: 0804-4643            Impact factor:   6.664


  17 in total

Review 1.  Growth hormone and its disorders.

Authors:  J Ayuk; M C Sheppard
Journal:  Postgrad Med J       Date:  2006-01       Impact factor: 2.401

Review 2.  Treatment of acromegaly: future.

Authors:  Ines Donangelo; Shlomo Melmed
Journal:  Endocrine       Date:  2005-10       Impact factor: 3.633

3.  Predictors of surgical outcome and early criteria of remission in acromegaly.

Authors:  Ximene Antunes; Nina Ventura; Gustavo Bittencourt Camilo; Luiz Eduardo Wildemberg; Andre Guasti; Paulo José M Pereira; Aline Helen Silva Camacho; Leila Chimelli; Paulo Niemeyer; Mônica R Gadelha; Leandro Kasuki
Journal:  Endocrine       Date:  2018-04-06       Impact factor: 3.633

4.  3D Volumetric Measurements of GH Secreting Adenomas Correlate with Baseline Pituitary Function, Initial Surgery Success Rate, and Disease Control.

Authors:  Amit Tirosh; Georgios Z Papadakis; Prashant Chittiboina; Charalampos Lyssikatos; Elena Belyavskaya; Meg Keil; Maya B Lodish; Constantine A Stratakis
Journal:  Horm Metab Res       Date:  2017-05-04       Impact factor: 2.936

5.  Predictive value of T2 relative signal intensity for response to somatostatin analogs in newly diagnosed acromegaly.

Authors:  Ming Shen; Qilin Zhang; Wenjuan Liu; Meng Wang; Jingjing Zhu; Zengyi Ma; Wenqiang He; Shiqi Li; Xuefei Shou; Yiming Li; Zhaoyun Zhang; Hongying Ye; Min He; Bin Lu; Zhenwei Yao; Yun Lu; Nidan Qiao; Zhao Ye; Yichao Zhang; Yeping Yang; Yao Zhao; Yongfei Wang
Journal:  Neuroradiology       Date:  2016-08-11       Impact factor: 2.804

Review 6.  Management of aggressive growth hormone secreting pituitary adenomas.

Authors:  Daniel A Donoho; Namrata Bose; Gabriel Zada; John D Carmichael
Journal:  Pituitary       Date:  2017-02       Impact factor: 4.107

7.  Volumetric measurement for comparison of the accuracy between intraoperative CT and postoperative MR imaging in pituitary adenoma surgery.

Authors:  C-C Lee; S-T Lee; C-N Chang; P-C Pai; Y-L Chen; T-C Hsieh; C-C Chuang
Journal:  AJNR Am J Neuroradiol       Date:  2011-06-23       Impact factor: 3.825

8.  Predictive model of surgical remission in acromegaly: age, presurgical GH levels and Knosp grade as the best predictors of surgical remission.

Authors:  M Araujo-Castro; E Pascual-Corrales; V Martínez-Vaello; G Baonza Saiz; J Quiñones de Silva; A Acitores Cancela; A M García Cano; V Rodríguez Berrocal
Journal:  J Endocrinol Invest       Date:  2020-05-21       Impact factor: 4.256

9.  Predicting early post-operative remission in pituitary adenomas: evaluation of the modified knosp classification.

Authors:  Marie Buchy; Véronique Lapras; Muriel Rabilloud; Alexandre Vasiljevic; Françoise Borson-Chazot; Emmanuel Jouanneau; Gérald Raverot
Journal:  Pituitary       Date:  2019-10       Impact factor: 4.107

Review 10.  Surgery induced hypopituitarism in acromegalic patients: a systematic review and meta-analysis of the results.

Authors:  Pedro Carvalho; Eva Lau; Davide Carvalho
Journal:  Pituitary       Date:  2015-12       Impact factor: 4.107

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