Literature DB >> 27649724

T2-weighted MRI signal predicts hormone and tumor responses to somatostatin analogs in acromegaly.

Iulia Potorac1, Patrick Petrossians1, Adrian F Daly1, Orsalia Alexopoulou2, Sophie Borot3, Mona Sahnoun-Fathallah4, Frederic Castinetti4, France Devuyst5, Marie-Lise Jaffrain-Rea6, Claire Briet7, Florina Luca8, Marion Lapoirie9, Flavius Zoicas10, Isabelle Simoneau11, Alpha M Diallo12, Ammar Muhammad13, Fahrettin Kelestimur14, Elena Nazzari15, Rogelio Garcia Centeno16, Susan M Webb17, Marie-Laure Nunes18, Vaclav Hana19, Véronique Pascal-Vigneron20, Irena Ilovayskaya21, Farida Nasybullina22, Samia Achir23, Diego Ferone15, Sebastian J C M M Neggers13, Brigitte Delemer12, Jean-Michel Petit11, Christof Schöfl24, Gerald Raverot9, Bernard Goichot8, Patrice Rodien7, Bernard Corvilain5, Thierry Brue4, Franck Schillo3, Luaba Tshibanda1, Dominique Maiter2, Jean-François Bonneville1, Albert Beckers25.   

Abstract

GH-secreting pituitary adenomas can be hypo-, iso- or hyper-intense on T2-weighted MRI sequences. We conducted the current multicenter study in a large population of patients with acromegaly to analyze the relationship between T2-weighted signal intensity on diagnostic MRI and hormonal and tumoral responses to somatostatin analogs (SSA) as primary monotherapy. Acromegaly patients receiving primary SSA for at least 3 months were included in the study. Hormonal, clinical and general MRI assessments were performed and assessed centrally. We included 120 patients with acromegaly. At diagnosis, 84, 17 and 19 tumors were T2-hypo-, iso- and hyper-intense, respectively. SSA treatment duration, cumulative and mean monthly doses were similar in the three groups. Patients with T2-hypo-intense adenomas had median SSA-induced decreases in GH and IGF-1 of 88% and 59% respectively, which were significantly greater than the decreases observed in the T2-iso- and hyper-intense groups (P < 0.001). Tumor shrinkage on SSA was also significantly greater in the T2-hypo-intense group (38%) compared with the T2-iso- and hyper-intense groups (8% and 3%, respectively; P < 0.0001). The response to SSA correlated with the calculated T2 intensity: the lower the T2-weighted intensity, the greater the decrease in random GH (P < 0.0001, r = 0.22), IGF-1 (P < 0.0001, r = 0.14) and adenoma volume (P < 0.0001, r = 0.33). The T2-weighted signal intensity of GH-secreting adenomas at diagnosis correlates with hormone reduction and tumor shrinkage in response to primary SSA treatment in acromegaly. This study supports its use as a generally available predictive tool at diagnosis that could help to guide subsequent treatment choices in acromegaly.
© 2016 Society for Endocrinology.

Entities:  

Keywords:  MRI; acromegaly; predictor; somatostatin analogs; treatment response

Mesh:

Substances:

Year:  2016        PMID: 27649724     DOI: 10.1530/ERC-16-0356

Source DB:  PubMed          Journal:  Endocr Relat Cancer        ISSN: 1351-0088            Impact factor:   5.678


  28 in total

1.  Predicting response to somatostatin analogues in acromegaly: machine learning-based high-dimensional quantitative texture analysis on T2-weighted MRI.

Authors:  Burak Kocak; Emine Sebnem Durmaz; Pinar Kadioglu; Ozge Polat Korkmaz; Nil Comunoglu; Necmettin Tanriover; Naci Kocer; Civan Islak; Osman Kizilkilic
Journal:  Eur Radiol       Date:  2018-11-30       Impact factor: 5.315

Review 2.  T2-weighted MRI signal intensity as a predictor of hormonal and tumoral responses to somatostatin receptor ligands in acromegaly: a perspective.

Authors:  Iulia Potorac; Albert Beckers; Jean-François Bonneville
Journal:  Pituitary       Date:  2017-02       Impact factor: 4.107

Review 3.  Somatostatin receptor ligands in the treatment of acromegaly.

Authors:  Monica R Gadelha; Luiz Eduardo Wildemberg; Marcello D Bronstein; Federico Gatto; Diego Ferone
Journal:  Pituitary       Date:  2017-02       Impact factor: 4.107

4.  Clinical, biological, radiological, and pathological comparison of sparsely and densely granulated somatotroph adenomas: a single center experience from a cohort of 131 patients with acromegaly.

Authors:  Amy A Swanson; Dana Erickson; Diane Mary Donegan; Sarah M Jenkins; Jamie J Van Gompel; John L D Atkinson; Bradley J Erickson; Caterina Giannini
Journal:  Pituitary       Date:  2020-10-19       Impact factor: 4.107

5.  Clinicopathological significance of baseline T2-weighted signal intensity in functional pituitary adenomas.

Authors:  Sema Ciftci Dogansen; Gulsah Yenidunya Yalin; Seher Tanrikulu; Sakin Tekin; Nihan Nizam; Bilge Bilgic; Serra Sencer; Sema Yarman
Journal:  Pituitary       Date:  2018-08       Impact factor: 4.107

6.  Quantitative proteomics revealed the molecular characteristics of distinct types of granulated somatotroph adenomas.

Authors:  Yifan Tang; Tao Xie; Silin Wu; Qiaoqiao Yang; Tengfei Liu; Chen Li; Shuang Liu; Zhiyong Shao; Xiaobiao Zhang
Journal:  Endocrine       Date:  2021-05-27       Impact factor: 3.633

7.  Genetics, clinical features and outcomes of non-syndromic pituitary gigantism: experience of a single center from Sao Paulo, Brazil.

Authors:  Ericka B Trarbach; Giampaolo Trivellin; Isabella P P Grande; Felipe H G Duarte; Alexander A L Jorge; Felipe Barjud Pereira do Nascimento; Heraldo M Garmes; Marcia Nery; Berenice B Mendonca; Constantine A Stratakis; Marcello D Bronstein; Raquel S Jallad
Journal:  Pituitary       Date:  2020-11-06       Impact factor: 4.107

8.  GPR64 promotes cAMP pathway in tumor aggressiveness in sparsely granulated growth hormone cell adenomas.

Authors:  Tao Xie; Yifan Tang; Rongkui Luo; Xiaobiao Zhang; Silin Wu; Ye Gu; Tengfei Liu; Fan Hu
Journal:  Endocrine       Date:  2020-03-16       Impact factor: 3.633

9.  Pre-surgical medical treatment, a major prognostic factor for long-term remission in acromegaly.

Authors:  F Albarel; F Castinetti; I Morange; N Guibert; T Graillon; H Dufour; T Brue
Journal:  Pituitary       Date:  2018-12       Impact factor: 4.107

10.  Pituitary magnetic resonance imaging predictive role in the therapeutic response of growth hormone-secreting pituitary adenomas.

Authors:  Fabio Tortora; Alberto Negro; Ludovica F S Grasso; Annamaria Colao; Rosario Pivonello; Alessandra Splendiani; Luca Brunese; Ferdinando Caranci
Journal:  Gland Surg       Date:  2019-09
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