Literature DB >> 30540560

MRI T2 signal intensity and tumor response in patients with GH-secreting pituitary macroadenoma: PRIMARYS post-hoc analysis.

Fabrice Bonneville1, Louis-David Rivière2, Stephan Petersenn3, Js Bevan4, Aude Houchard5, Caroline Sert6, Philippe Jean Caron7.   

Abstract

Objective Pituitary adenoma MRI T2 signal intensity associates with tumor characteristics including responsiveness to somatostatin analogs (SSAs). These analyses determined whether baseline T2 signal intensity predicts response to primary medical treatment with long-acting SSA. Design Post-hoc analyses of the prospective multicenter, open-label, single-arm PRIMARYS study in which patients with treatment-naïve GH-secreting pituitary macroadenomas received fixed-dose lanreotide autogel (120mg) every 4-weeks for 48-weeks. Methods Associations were investigated between adenoma T2-signal hypo/iso/hyperintensity and treatment responses at week 48/last visit: hormonal control (GH ≤2.5μg/L and IGF-1 normalization); tumor response (tumor volume reduction [TVR] ≥20%); separate GH/IGF-1 control; and change-from-baseline in GH/IGF-1 and tumor volume. Results Adenomas were hypointense at baseline in 50/85 (59%) patients using visual assessment. Of these, 40% achieved hormonal control and 76% achieved a tumor response. Significant univariate associations arose for hypo- vs isointensity with tumor response and achievement of GH ≤2.5 μg/L, but not IGF-1 normalization or overall hormonal control. In multivariate analysis, tumor response was 6-times more likely for hypo- vs isointense tumors (=6.15; 95% CI [1.36;27.88]). In univariate change-from-baseline analyses, hypo- vs isointensity was associated with greater TVR and IGF-1 reduction but not change in GH. In multivariate analysis, IGF-1 decreased by an estimated additional 65 μg/L [P=0.0026]) for hypo- vs isointense. Conclusions Patients with hypointense vs isointense GH-secreting macroadenomas had greater reductions in IGF-1 following primary treatment with lanreotide autogel, and were more likely to achieve tumor response. Assessment of T2 signal intensity at baseline may help to predict long-term responses to primary treatment with SSAs.

Entities:  

Year:  2018        PMID: 30540560     DOI: 10.1530/EJE-18-0254

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


  5 in total

1.  MRI texture analysis in acromegaly and its role in predicting response to somatostatin receptor ligands.

Authors:  Brandon P Galm; Colleen Buckless; Brooke Swearingen; Martin Torriani; Anne Klibanski; Miriam A Bredella; Nicholas A Tritos
Journal:  Pituitary       Date:  2020-06       Impact factor: 4.107

2.  Predictive factors for responses to primary medical treatment with lanreotide autogel 120 mg in acromegaly: post hoc analyses from the PRIMARYS study.

Authors:  Stephan Petersenn; Aude Houchard; Caroline Sert; Philippe J Caron
Journal:  Pituitary       Date:  2020-04       Impact factor: 4.107

3.  Predicting Subtype of Growth Hormone Pituitary Adenoma based on Magnetic Resonance Imaging Characteristics.

Authors:  Chen-Xi Liu; Sheng-Zhong Wang; Li-Jun Heng; Yu Han; Yu-Hui Ma; Lin-Feng Yan; Ying Yu; Wen Wang; Yu-Chuan Hu; Guang-Bin Cui
Journal:  J Comput Assist Tomogr       Date:  2022 Jan-Feb 01       Impact factor: 1.826

4.  Association of different pathologic subtypes of growth hormone producing pituitary adenoma and remission in acromegaly patients: a retrospective cohort study.

Authors:  Maryam Dehghani; Zahra Davoodi; Farahnaz Bidari; Amin Momeni Moghaddam; Davood Khalili; Hooman Bahrami-Motlagh; Elena Jamali; Shahram Alamdari; Farhad Hosseinpanah; Mehdi Hedayati; Majid Valizadeh
Journal:  BMC Endocr Disord       Date:  2021-09-16       Impact factor: 2.763

5.  Usefulness of the Texture Signatures Based on Multiparametric MRI in Predicting Growth Hormone Pituitary Adenoma Subtypes.

Authors:  Chen-Xi Liu; Li-Jun Heng; Yu Han; Sheng-Zhong Wang; Lin-Feng Yan; Ying Yu; Jia-Liang Ren; Wen Wang; Yu-Chuan Hu; Guang-Bin Cui
Journal:  Front Oncol       Date:  2021-07-07       Impact factor: 6.244

  5 in total

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