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Baseline MRI findings as predictors of hypopituitarism in patients with non-functioning pituitary adenomas.
Al Argan, Reem; Ramadhan, Abdulaziz; Agnihotram, Ramanakumar V; Chankowsky, Jeffrey; Rivera, Juan.
Afiliação
  • Al Argan R; Endocrine Section, Department of Internal Medicine, College of Medicine, Imam Abdulrahman Bin Faisal University, King Fahd Hospital of the University, Khobar, Eastern Province, Saudi Arabia.
  • Ramadhan A; Division of Endocrinology and Metabolism, Department of Medicine, McGill University Health Center, Montreal, Quebec, Canada.
  • Agnihotram RV; Statistician, Research Institute-McGill University Health Center, Montreal, Quebec, Canada.
  • Chankowsky J; Department of Diagnostic Radiology, McGill University Health Center, Montreal, Quebec, Canada.
  • Rivera J; Division of Endocrinology and Metabolism, Department of Medicine, McGill University Health Center, Montreal, Quebec, Canada.
Endocr Connect ; 10(11): 1445-1454, 2021 Nov 08.
Article em En | MEDLINE | ID: mdl-34636742
ABSTRACT
Hypopituitarism tends to occur in large pituitary adenomas. However, similar tumors could present with strikingly different hormonal deficiencies. In this study, we looked at MRI characteristics in non-functioning pituitary adenomas (NFPA), which could predict secondary adrenal insufficiency (SAI) and central hypothyroidism (CHT). We reviewed the files of patients with NFPA attending our clinic. Tumor size, invasiveness, MR-signal intensity, and gadolinium enhancement in preoperative MRI were recorded along with documented presurgical hypopituitarism profile. Logistic regression was used to predict SAI, CHT, or both (SAI/CHT) based on MRI and demographic parameters. Receiver operating characteristic curves were used to determine their diagnostic utility. One hundred twenty-one patients were included in the study. Older age (P = 0.021), male sex (P = 0.043), stalk deviation (P < 0.0001), contrast enhancement (P = 0.029), and optic chiasma compression (P = 0.012) were associated with SAI/CHT. Adenoma vertical height, largest diameter, and estimated volume were also strongly associated with SAI/CHT (P < 0.0001). These associations remained significant in a multivariate analysis. No tumor smaller than 12 mm in vertical height, 17 mm in largest diameter, or 0.9 cm3 in volume was associated with SAI/CHT. At cut-off ≥18 mm for vertical height, ≥23 mm for largest diameter, and ≥3.2 cm3 the sensitivity was around 90-92% for detecting SAI/CHT. Only vertical height was significantly associated with any one or more pituitary hormonal deficit (P = 0.001). In conclusion, adenoma size, independent of the measurement used, remains the best predictor of SAI/CHT in NFPA. Dynamic testing to rule out SAI is probably indicated in adenomas larger than 18 mm vertical height, 23 mm largest diameter and 3.2 cm3 adenoma volume.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article