ArticleBMC endocrine disorders2021
Association of different pathologic subtypes of growth hormone producing pituitary adenoma and remission in acromegaly patients: a retrospective cohort study.
Article in BMC endocrine disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Clinical and prognostic significance of granulation patterns in somatotroph adenomas/tumors of the pituitary: a meta-analysis.Pituitary · 2023Pooled it
- Adenoma receptors and histologic characteristics determining management outcomes.The Journal of clinical endocrinology and metabolism · 2026Review
- Clinical Features and Key Prognostic Indicators of Growth Hormone-Secreting Pituitary Adenomas: A Retrospective Study of 344 Cases.Current oncology (Toronto, Ont.) · 2026Article
- Hormonal staining patterns and clinical outcomes in acromegaly: a 15-year single-center study.Pituitary · 2026Article
- Histopathological and radiological predictors of surgical remission failure in GH-secreting pituitary adenomas.Pituitary · 2026Review
- The Journey of Acromegaly Towards Treatment: A Single-Center Study.Journal of personalized medicine · 2026Article
- Predictors of therapeutic failure in GH and prolactin co-secreting pituitary adenomas.Endocrine connections · 2025Article
- Article
- Predicting Response to Medical Treatment in Acromegaly via Granulation Pattern, Expression of Somatostatin Receptors Type 2 and 5 and E-Cadherin.International journal of molecular sciences · 2024Article
- Immunological signatures and predictive biomarkers for first-generation somatostatin receptor ligand resistance in Acromegaly.Journal of neuro-oncology · 2024Article
- Pathologic Characteristics of Somatotroph Pituitary Tumors-An Observational Single-Center Study.Biomedicines · 2023Article
- Supervised machine learning to validate a novel scoring system for the prediction of disease remission of functional pituitary adenomas following transsphenoidal surgery.Scientific reports · 2023Article
- The Spectrum of Familial Pituitary Neuroendocrine Tumors.Endocrine pathology · 2023Review
- Clinical, hormonal and pathomorphological markers of somatotroph pituitary neuroendocrine tumors predicting the treatment outcome in acromegaly.Frontiers in endocrinology · 2022Article
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11 authors.
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Abstract
backgroundRegarding the inconclusive results of previous investigations, this study aimed to determine the association between pathology, as a possible predictor, with remission outcomes, to know the role of pathology in the personalized decision making in acromegaly patients.
methodsA retrospective cohort study was performed on the consecutive surgeries for growth hormone (GH) producing pituitary adenomas from February 2015 to January 2021. Seventy-one patients were assessed for granulation patterns and prolactin co-expression as dual staining adenomas. The role of pathology and some other predictors on surgical remission was evaluated using logistic regression models.
resultsAmong 71 included patients, 34 (47.9%) patients had densely granulated (DG), 14 (19.7%) had sparsely granulated (SG), 23 (32.4%) had dual staining pituitary adenomas. The remission rate was about 62.5% in the patients with SG and DG adenomas named single staining and 52.2% in dual staining groups. Postoperative remission was 1.53-folds higher in the single staining adenomas than dual staining-one (non-significant). The remission rate was doubled in DG group compared to two other groups (non-significant). By adjusting different predictors, cavernous sinus invasion and one-day postoperative GH levels decreased remission rate by 91% (95% CI: 0.01-0.67; p = 0.015) and 64% (95% CI: 0.19-0.69; p < 0.001), respectively. Responses to the medications were not significantly different among three groups.
conclusionVarious pathological subtypes of pituitary adenomas do not appear to have a predictive role in estimating remission outcomes. Cavernous sinus invasion followed by one-day postoperative GH is the strongest parameter to predict biochemical remission.
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