ArticleNeuroradiology2016
Predictive value of T2 relative signal intensity for response to somatostatin analogs in newly diagnosed acromegaly.
Article in Neuroradiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
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Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.
- Surgical and non-surgical interventions for primary and salvage treatment of growth hormone-secreting pituitary adenomas in adults.The Cochrane database of systematic reviews · 2024Pooled it
- Trial
- Histopathological and radiological predictors of surgical remission failure in GH-secreting pituitary adenomas.Pituitary · 2026Review
- Personalized Medicine in Acromegaly: The ACROFAST Study.The Journal of clinical endocrinology and metabolism · 2024Article
- Quantitative and qualitative assessment of a pituitary neuroendocrine tumor's T2-signal intensity in acromegaly - a call for unification.Frontiers in endocrinology · 2024Observational
- MRI and Trouillas' grading system of pituitary tumors: the usefulness of T2 signal intensity volumetric values.Neuroradiology · 2023Article
- Article
- Resistance to Somatostatin Analogs in Italian Acromegaly Patients: The MISS Study.Journal of clinical medicine · 2022Article
- Article
- Baseline MRI findings as predictors of hypopituitarism in patients with non-functioning pituitary adenomas.Endocrine connections · 2021Article
- The therapeutic response of somatotropinomas according to the T2-weighted signal intensity on the MRI.Medicine and pharmacy reports · 2021Article
- Article
- Pasireotide in the Personalized Treatment of Acromegaly.Frontiers in endocrinology · 2021Review
- Usefulness of the Texture Signatures Based on Multiparametric MRI in Predicting Growth Hormone Pituitary Adenoma Subtypes.Frontiers in oncology · 2021Article
- Radiomics model predicts granulation pattern in growth hormone-secreting pituitary adenomas.Pituitary · 2020Article
- Novel therapies for acromegaly.Endocrine connections · 2020Review
- Tumor T2 signal intensity and stalk angulation correlates with endocrine status in pituitary adenoma patients: a quantitative 7 tesla MRI study.Neuroradiology · 2020Article
- Italian Association of Clinical Endocrinologists (AME) and Italian AACE Chapter Position Statement for Clinical Practice: Acromegaly - Part 1: Diagnostic and Clinical Issues.Endocrine, metabolic & immune disorders drug targets · 2020Review
- Italian Association of Clinical Endocrinologists (AME) and Italian AACE Chapter Position Statement for Clinical Practice: Acromegaly - Part 2: Therapeutic Issues.Endocrine, metabolic & immune disorders drug targets · 2020Review
- Pituitary magnetic resonance imaging predictive role in the therapeutic response of growth hormone-secreting pituitary adenomas.Gland surgery · 2019Article
Corrections and comments
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Authors and funding
22 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThe difficulty of predicting the efficacy of somatostatin analogs (SSA) is not fully resolved. Here, we quantitatively evaluated the predictive value of relative signal intensity (rSI) on T1- and T2-weighted magnetic resonance imaging (MRI) for the short-term efficacy (3 months) of SSA therapy in patients with active acromegaly and assessed the correlation between MRI rSI and expression of somatostatin receptors (SSTR).
methodsThis was a retrospective review of prospectively recorded data. Ninety-two newly diagnosed patients (37 males and 55 females) with active acromegaly were recruited. All patients were treated with pre-surgical SSA, followed by reassessment and transspenoidal surgery. rSI values were generated by calculating the ratio of SI in the tumor to the SI of normal frontal white matter. The Youden indices were calculated to determine the optimal cutoff of rSI to determine the efficacy of SSA. The correlation between rSI and expression of SSTR2/5 was analyzed by the Spearman rank correlation coefficient.
resultsT2 rSI was strongly correlated with biochemical sensitivity to SSA. The cutoff value of T2 rSI to distinguish biochemical sensitivity was 1.205, with a positive predictive value (PPV) of 81.5 % and a negative predictive value (NPV) of 77.3 %. No correlation was found between MRI and tumor size sensitivity. Moreover, T2 rSI was negatively correlated with the expression of SSTR5.
conclusionT2 rSI correlates with the expression of SSTR5 and quantitatively predicts the biochemical efficacy of SSA in acromegaly.
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