Article (Scientific journals)
T2-weighted MRI signal intensity as a predictor of hormonal and tumoral responses to somatostatin receptor ligands in acromegaly: a perspective.
Potorac, Iulia; Beckers, Albert; BONNEVILLE, Jean-François
2017In Pituitary, 20 (1), p. 116-120
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Keywords :
Acromegaly; MRI; Somatostatin receptor ligands; T2-weighted signal intensity
Abstract :
[en] T2-weighted MRI signal intensity of GH-secreting pituitary adenomas is gaining recognition as a marker of disease characteristics and may be a predictor of response to treatment of acromegaly. Adenomas that are T2-hypointense are more common, are smaller and are less likely to invade the cavernous sinus compared to the T2-iso and hyperintense tumors. T2-hypointense tumors are also accompanied by higher IGF1 values at baseline. When presurgical somatostatin receptor ligand (SRL) therapy is administered, T2-hypointense adenomas have better hormonal responses and have greater tumor shrinkage. Adjuvant SRL therapy of patients with T2-hypointense tumors that are uncured by surgery is also associated with a better hormonal response. We review the studies that have dealt with the T2-weighted signal intensity of GH-secreting pituitary tumors and elaborate on the details and nuances of this promising avenue of research.
Disciplines :
Endocrinology, metabolism & nutrition
Author, co-author :
Potorac, Iulia ;  Université de Liège - ULiège > Doct. sc. médicales (Bologne)
Beckers, Albert ;  Université de Liège > Département des sciences cliniques > Endocrinologie
BONNEVILLE, Jean-François ;  Centre Hospitalier Universitaire de Liège - CHU > Service médical de radiodiagnostic
Language :
English
Title :
T2-weighted MRI signal intensity as a predictor of hormonal and tumoral responses to somatostatin receptor ligands in acromegaly: a perspective.
Publication date :
2017
Journal title :
Pituitary
ISSN :
1386-341X
eISSN :
1573-7403
Publisher :
Kluwer Academic Publishers, Netherlands
Volume :
20
Issue :
1
Pages :
116-120
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 04 May 2017

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