Article (Scientific journals)
T2-weighted MRI signal predicts hormone and tumor responses to somatostatin analogs in acromegaly.
Potorac, Iulia; PETROSSIANS, Patrick; Daly, Adrian et al.
2016In Endocrine-Related Cancer, 23 (11), p. 871–881
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Abstract :
[en] GH-secreting pituitary adenomas can be hypo-, iso- or hyperintense 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 hyperintense, respectively. SSA treatment duration, cumulative and mean monthly doses were similar in the three groups. Patients with T2-hypointense adenoma 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 hyperintense groups (p<0.001). Tumor shrinkage on SSA was also significantly greater in the T2-hypointense group (38%) compared with the T2-iso- and hyperintense 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 of 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 the 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.
Disciplines :
Endocrinology, metabolism & nutrition
Author, co-author :
Potorac, Iulia ;  Université de Liège - ULiège > Doct. sc. médicales (Bologne)
PETROSSIANS, Patrick  ;  Centre Hospitalier Universitaire de Liège - CHU > Service d'endocrinologie clinique
Daly, Adrian  ;  Université de Liège > Département des sciences cliniques > Endocrinologie
Alexopoulou, Orsalia
Borot, Sophie
Sahnoun Fathallah, Mouna
Castinetti, Frederic
Devuyst, France
Jaffrain Rea, Marie-Lise
Briet, Claire
Luca, Florina
Lapoirie, Marion
Zoicas, Flavius
Simoneau, Isabelle
Diallo, Alpha
Muhammad, Ammar
Kalestimur, F
Nazzari, Elena
Garcia Centeno, Rogelio
Webb, Susan M.
Nunes, Marie-Laure
Hana, Vaclav
Pascal-Vigneron, Veronique
Ilovayskaya, Irena
Nasybullina, Farida
Achir, Samia
Ferone, Diego
Neggers, Sebastian
Delemer, Brigitte
Petit, Jean-Michel
Schoefl, Christof
Raverot, Gerald
Goichot, Bernard
Rodien, Patrice
Corvilain, Bernard
Brue, Thierry
Schillo, Franck
TSHIBANDA, Luaba ;  Centre Hospitalier Universitaire de Liège - CHU > Service médical de radiodiagnostic
Maiter, Dominique
Beckers, Albert ;  Université de Liège > Département des sciences cliniques > Endocrinologie
More authors (31 more) Less
Language :
English
Title :
T2-weighted MRI signal predicts hormone and tumor responses to somatostatin analogs in acromegaly.
Publication date :
20 September 2016
Journal title :
Endocrine-Related Cancer
ISSN :
1351-0088
eISSN :
1479-6821
Publisher :
Society for Endocrinology, Bristol, United Kingdom
Volume :
23
Issue :
11
Pages :
871–881
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 23 October 2016

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