{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,25]],"date-time":"2026-08-25T05:39:24Z","timestamp":1787636364083,"version":"build-2736575974"},"reference-count":0,"publisher":"Bioscientifica","issue":"11","license":[{"start":{"date-parts":[[2021,11,1]],"date-time":"2021-11-01T00:00:00Z","timestamp":1635724800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["ec.bioscientifica.com"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,11,1]]},"abstract":"\n 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 (\n P\u2009=\u2009<\/jats:italic>\n 0.021), male sex (\n P\u2009=\u2009<\/jats:italic>\n 0.043), stalk deviation (\n P<\/jats:italic>\n < 0.0001), contrast enhancement (\n P\u2009=\u2009<\/jats:italic>\n 0.029), and optic chiasma compression (\n P\u2009=\u2009<\/jats:italic>\n 0.012) were associated with SAI\/CHT. Adenoma vertical height, largest diameter, and estimated volume were also strongly associated with SAI\/CHT (\n P<\/jats:italic>\n < 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 cm\n 3<\/jats:sup>\n in volume was associated with SAI\/CHT. At cut-off \u226518 mm for vertical height, \u226523 mm for largest diameter, and \u22653.2 cm\n 3<\/jats:sup>\n the sensitivity was around 90\u201392% for detecting SAI\/CHT. Only vertical height was significantly associated with any one or more pituitary hormonal deficit (\n P\u2009=\u2009<\/jats:italic>\n 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 cm\n 3<\/jats:sup>\n adenoma volume.\n <\/jats:p>","DOI":"10.1530\/ec-21-0386","type":"journal-article","created":{"date-parts":[[2021,10,12]],"date-time":"2021-10-12T08:38:05Z","timestamp":1634027885000},"page":"1445-1454","update-policy":"https:\/\/doi.org\/10.1530\/crossmarkpolicy-10","source":"Crossref","is-referenced-by-count":9,"title":["Baseline MRI findings as predictors of hypopituitarism in patients with non-functioning pituitary adenomas"],"prefix":"10.1530","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6056-8616","authenticated-orcid":true,"given":"Reem","family":"Al Argan","sequence":"first","affiliation":[{"name":"1Endocrine Section, Department of Internal Medicine, College of Medicine, Imam Abdulrahman Bin Faisal University, King Fahd Hospital of the University, Khobar, Eastern Province, Saudi Arabia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Abdulaziz","family":"Ramadhan","sequence":"additional","affiliation":[{"name":"2Division of Endocrinology and Metabolism, Department of Medicine, McGill University Health Center, Montreal, Quebec, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ramanakumar V","family":"Agnihotram","sequence":"additional","affiliation":[{"name":"3Statistician, Research Institute-McGill University Health Center, Montreal, Quebec, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jeffrey","family":"Chankowsky","sequence":"additional","affiliation":[{"name":"4Department of Diagnostic Radiology, McGill University Health Center, Montreal, Quebec, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Juan","family":"Rivera","sequence":"additional","affiliation":[{"name":"2Division of Endocrinology and Metabolism, Department of Medicine, McGill University Health Center, Montreal, Quebec, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"416","container-title":["Endocrine Connections"],"original-title":[],"link":[{"URL":"https:\/\/ec.bioscientifica.com\/view\/journals\/ec\/10\/11\/EC-21-0386.xml","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/ec.bioscientifica.com\/downloadpdf\/journals\/ec\/10\/11\/EC-21-0386.xml","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,20]],"date-time":"2026-07-20T13:44:50Z","timestamp":1784555090000},"score":1,"resource":{"primary":{"URL":"http:\/\/journals.bioscientifica.com\/ec\/article\/10\/11\/1445-1454\/183"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,1]]},"references-count":0,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1530\/ec-21-0386","relation":{},"ISSN":["2049-3614"],"issn-type":[{"value":"2049-3614","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,11,1]]}}}