{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T07:02:16Z","timestamp":1789628536668,"version":"build-2803163510"},"reference-count":21,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2022,3,25]],"date-time":"2022-03-25T00:00:00Z","timestamp":1648166400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,3,25]],"date-time":"2022-03-25T00:00:00Z","timestamp":1648166400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Pituitary"],"published-print":{"date-parts":[[2022,6]]},"DOI":"10.1007\/s11102-022-01213-3","type":"journal-article","created":{"date-parts":[[2022,3,25]],"date-time":"2022-03-25T12:30:21Z","timestamp":1648211421000},"page":"474-479","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Discrimination between non-functioning pituitary adenomas and hypophysitis using machine learning methods based on magnetic resonance imaging\u2011derived texture features"],"prefix":"10.1007","volume":"25","author":[{"given":"Serdar","family":"Sahin","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gokcen","family":"Yildiz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Seda Hanife","family":"Oguz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Orkun","family":"Civan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ebru","family":"Cicek","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Emre","family":"Durcan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nil","family":"Comunoglu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hande Mefkure","family":"Ozkaya","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aysim Buge","family":"Oz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Figen","family":"Soylemezoglu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kader Karli","family":"Oguz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sel\u00e7uk","family":"Dagdelen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tomris","family":"Erbas","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Osman","family":"Kizilkilic","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8329-140X","authenticated-orcid":false,"given":"Pinar","family":"Kadioglu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,3,25]]},"reference":[{"issue":"3","key":"1213_CR1","doi-asserted-by":"publisher","first-page":"R151","DOI":"10.1530\/EJE-17-0009","volume":"179","author":"MN Joshi","year":"2018","unstructured":"Joshi MN, Whitelaw BC, Carroll PV (2018) Hypophysitis: diagnosis and treatment. Eur J Endocrinol 179(3):R151\u2013R163. https:\/\/doi.org\/10.1530\/EJE-17-0009","journal-title":"Eur J Endocrinol"},{"issue":"6","key":"1213_CR2","doi-asserted-by":"publisher","first-page":"625","DOI":"10.1007\/s11102-016-0736-z","volume":"19","author":"B Giuseppe","year":"2016","unstructured":"Giuseppe B, Maria IM, Antonio B, Dario G, Katherine E, Antonio B, Annamaria DB (2016) Revisitation of autoimmune hypophysitis: knowledge and uncertainties on pathophysiological and clinical aspects. Pituitary 19(6):625\u2013642. https:\/\/doi.org\/10.1007\/s11102-016-0736-z","journal-title":"Pituitary"},{"issue":"3","key":"1213_CR3","doi-asserted-by":"publisher","first-page":"242","DOI":"10.1080\/02688690120057664","volume":"15","author":"N Buxton","year":"2001","unstructured":"Buxton N, Robertson I, Powell M, Chatterjee K (2001) Lymphocytic and granulocytic hypophysitis: A single centre experience. Br J Neurosurg 15(3):242\u2013245. https:\/\/doi.org\/10.1080\/02688690120057664","journal-title":"Br J Neurosurg"},{"issue":"5","key":"1213_CR4","doi-asserted-by":"publisher","first-page":"599","DOI":"10.1210\/er.2004-0011","volume":"26","author":"P Caturegli","year":"2005","unstructured":"Caturegli P, Newschaffer C, Olivi A et al (2005) Autoimmune hypophysitis. Endocr Rev 26(5):599\u2013614. https:\/\/doi.org\/10.1210\/er.2004-0011","journal-title":"Endocr Rev"},{"issue":"4","key":"1213_CR5","doi-asserted-by":"publisher","first-page":"335","DOI":"10.1007\/s11154-018-9480-1","volume":"19","author":"S Gubbi","year":"2018","unstructured":"Gubbi S, Hannah-Shmouni F, Stratakis CA, Koch CA (2018) Primary hypophysitis and other autoimmune disorders of the sellar and suprasellar regions. Reviews in Endocrine and Metabolic Disorders 19(4):335\u2013347. https:\/\/doi.org\/10.1007\/s11154-018-9480-1","journal-title":"Reviews in Endocrine and Metabolic Disorders"},{"issue":"12","key":"1213_CR6","doi-asserted-by":"publisher","first-page":"4769","DOI":"10.1210\/jc.2006-1668","volume":"91","author":"AF Daly","year":"2006","unstructured":"Daly AF, Rixhon M, Adam C, Dempegioti A, Tichomirowa MA, Beckers A (2006) High prevalence of pituitary adenomas: A cross-sectional study in the province of Li\u00e8ge, Belgium. J Clin Endocrinol Metab 91(12):4769\u20134775. https:\/\/doi.org\/10.1210\/jc.2006-1668","journal-title":"J Clin Endocrinol Metab"},{"issue":"3","key":"1213_CR7","doi-asserted-by":"publisher","first-page":"613","DOI":"10.1002\/cncr.20412","volume":"101","author":"S Ezzat","year":"2004","unstructured":"Ezzat S, Asa SL, Couldwell WT, Barr CE, Dodge WE, Vance ML, McCutcheon IE (2004) The prevalence of pituitary adenomas: A systematic review. Cancer 101(3):613\u2013619. https:\/\/doi.org\/10.1002\/cncr.20412","journal-title":"Cancer"},{"issue":"9","key":"1213_CR8","doi-asserted-by":"publisher","first-page":"1766","DOI":"10.3174\/ajnr.A1714","volume":"30","author":"A Gutenberg","year":"2009","unstructured":"Gutenberg A, Larsen J, Lupi I, Rohde V, Caturegli P (2009) A radiologic score to distinguish autoimmune hypophysitis from nonsecreting pituitary adenoma preoperatively. Am J Neuroradiol AJNR Am J Neuroradiol 30(9):1766\u20137172. https:\/\/doi.org\/10.3174\/ajnr.A1714","journal-title":"Am J Neuroradiol AJNR Am J Neuroradiol"},{"issue":"6","key":"1213_CR9","doi-asserted-by":"publisher","first-page":"823","DOI":"10.1530\/eje.1.02298","volume":"155","author":"E Ferrante","year":"2006","unstructured":"Ferrante E, Ferraroni M, Castrignan\u00f2 T, Menicatti L, Anagni M, Reimondo G, Del Monte P, Bernasconi D, Loli P, Faustini-Fustini M, Borretta G, Terzolo M, Losa M, Morabito A, Spada A, Beck-Peccoz P, Lania AG (2006) Non-functioning pituitary adenoma database: A useful resource to improve the clinical management of pituitary tumors. Eur J Endocrinol 155(6):823\u2013829. https:\/\/doi.org\/10.1530\/eje.1.02298","journal-title":"Eur J Endocrinol"},{"issue":"5","key":"1213_CR10","doi-asserted-by":"publisher","first-page":"1796","DOI":"10.1210\/jc.2005-2552","volume":"91","author":"OM Dekkers","year":"2006","unstructured":"Dekkers OM, Pereira AM, Roelfsema F, Voormolen JHC, Neelis KJ, Schroijen MA, Smit JWA, Romijn JA (2006) Observation alone after transsphenoidal surgery for nonfunctioning pituitary macroadenoma. J Clin Endocrinol Metab 91(5):1796\u20131801. https:\/\/doi.org\/10.1210\/jc.2005-2552","journal-title":"J Clin Endocrinol Metab"},{"issue":"16","key":"1213_CR11","doi-asserted-by":"publisher","first-page":"4786","DOI":"10.1158\/0008-5472.CAN-18-0125","volume":"78","author":"C Nioche","year":"2018","unstructured":"Nioche C, Orlhac F, Boughdad S, Reuze S, Goya-Outi J, Robert C, Pellot-Barakat C, Soussan M, Frouin F, erique, Buvat I (2018) Lifex: A freeware for radiomic feature calculation in multimodality imaging to accelerate advances in the characterization of tumor heterogeneity. Cancer Res 78(16):4786\u20134789. https:\/\/doi.org\/10.1158\/0008-5472.CAN-18-0125","journal-title":"Cancer Res"},{"issue":"4","key":"1213_CR12","doi-asserted-by":"publisher","first-page":"296","DOI":"10.1055\/s-0044-101036","volume":"50","author":"A Angelousi","year":"2018","unstructured":"Angelousi A, Cohen C, Sosa S, Danilowicz K, Papanastasiou L, Tsoli M, Pal A, Piaditis G, Grossman A, Kaltsas G (2018) Clinical, Endocrine and Imaging Characteristics of Patients with Primary Hypophysitis. Horm Metab Res 50(4):296\u2013302. https:\/\/doi.org\/10.1055\/s-0044-101036","journal-title":"Horm Metab Res"},{"issue":"1","key":"1213_CR13","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1055\/a-0919-4388","volume":"129","author":"OP Korkmaz","year":"2021","unstructured":"Korkmaz OP, Sahin S, Ozkaya HM, Apaydin T, Durmaz ES, Haliloglu O, Durcan E, Kadioglu P (2021) Primary hypophysitis: Experience of a Single Tertiary Center. Exp Clin Endocrinol Diabetes 129(1):14\u201321. https:\/\/doi.org\/10.1055\/a-0919-4388","journal-title":"Exp Clin Endocrinol Diabetes"},{"issue":"4","key":"1213_CR14","doi-asserted-by":"publisher","first-page":"220","DOI":"10.1055\/a-1113-7777","volume":"52","author":"SH Oguz","year":"2020","unstructured":"Oguz SH, Soylemezoglu F, Sendur SN, Mut M, Oguz KK, Dagdelen S, Erbas T (2020) Clinical Characteristics, Management, and Treatment Outcomes of Primary Hypophysitis: A Monocentric Cohort. Horm Metab Res 52(4):220\u2013227. https:\/\/doi.org\/10.1055\/a-1113-7777","journal-title":"Horm Metab Res"},{"key":"1213_CR15","doi-asserted-by":"publisher","unstructured":"Kitajima M, Hirai T, Katsuragawa S, Okuda T, Fukuoka H, Sasao A, Akter M, Awai K, Nakayama Y, Ikeda R, Yamashita Y, Yano S, Kuratsu J, Doi K (2009) Differentiation of Common Large Sellar-Suprasellar Masses. Effect of Artificial Neural Network on Radiologists\u2019 Diagnosis Performance. Acad Radiol 16(3):313 \u2013 20. https:\/\/doi.org\/10.1016\/j.acra.2008.09.015","DOI":"10.1016\/j.acra.2008.09.015"},{"issue":"3","key":"1213_CR16","doi-asserted-by":"publisher","first-page":"727","DOI":"10.1007\/s00216-012-5824-y","volume":"403","author":"G Steiner","year":"2012","unstructured":"Steiner G, Mackenroth L, Geiger KD, Stelling A, Pinzer T, Uckermann O, Sablinskas V, Schackert G, Koch E, Kirsch M (2012) Label-free differentiation of human pituitary adenomas by FT-IR spectroscopic imaging. Anal Bioanal Chem 403(3):727\u2013735. https:\/\/doi.org\/10.1007\/s00216-012-5824-y","journal-title":"Anal Bioanal Chem"},{"issue":"12","key":"1213_CR17","doi-asserted-by":"publisher","first-page":"1365","DOI":"10.1007\/s00234-019-02266-1","volume":"61","author":"L Ugga","year":"2019","unstructured":"Ugga L, Cuocolo R, Solari D, Guadagno E, D\u2019Amico A, Somma T, Cappabianca P, Del Basso de Caro ML, Cavallo LM, Brunetti A (2019) Prediction of high proliferative index in pituitary macroadenomas using MRI-based radiomics and machine learning. Neuroradiology 61(12):1365\u20131373. https:\/\/doi.org\/10.1007\/s00234-019-02266-1","journal-title":"Neuroradiology"},{"issue":"9","key":"1213_CR18","doi-asserted-by":"publisher","first-page":"3692","DOI":"10.1007\/s00330-017-5180-6","volume":"28","author":"S Zhang","year":"2018","unstructured":"Zhang S, Song G, Zang Y, Jia J, Wang C, Li C, Tian J, Dong D, Zhang Y (2018) Non-invasive radiomics approach potentially predicts non-functioning pituitary adenomas subtypes before surgery. Eur Radiol 28(9):3692\u20133701. https:\/\/doi.org\/10.1007\/s00330-017-5180-6","journal-title":"Eur Radiol"},{"issue":"12","key":"1213_CR19","doi-asserted-by":"publisher","first-page":"1649","DOI":"10.1007\/s00234-020-02502-z","volume":"62","author":"R Cuocolo","year":"2020","unstructured":"Cuocolo R, Ugga L, Solari D, Corvino S, D\u2019Amico A, Russo D, Cappabianca P, Cavallo LM, Elefante A (2020) Prediction of pituitary adenoma surgical consistency: radiomic data mining and machine learning on T2-weighted MRI. Neuroradiology 62(12):1649\u20131656. https:\/\/doi.org\/10.1007\/s00234-020-02502-z","journal-title":"Neuroradiology"},{"issue":"6","key":"1213_CR20","doi-asserted-by":"publisher","first-page":"2731","DOI":"10.1007\/s00330-018-5876-2","volume":"29","author":"B Kocak","year":"2019","unstructured":"Kocak B, Durmaz ES, Kadioglu P, Polat Korkmaz O, Comunoglu N, Tanriover N, Kocer N, Islak C, Kizilkilic O (2019) Predicting response to somatostatin analogues in acromegaly: machine learning-based high-dimensional quantitative texture analysis on T2-weighted MRI. Eur Radiol 29(6):2731\u20132739. https:\/\/doi.org\/10.1007\/s00330-018-5876-2","journal-title":"Eur Radiol"},{"issue":"5","key":"1213_CR21","doi-asserted-by":"publisher","first-page":"E8","DOI":"10.3171\/2018.8.FOCUS18268","volume":"45","author":"TC Hollon","year":"2018","unstructured":"Hollon TC, Parikh A, Pandian B, Tarpeh J, Orringer DA, Barkan AL, McKean EL, Sullivan SE (2018) A machine learning approach to predict early outcomes after pituitary adenoma surgery. Neurosurg Focus 45(5):E8. https:\/\/doi.org\/10.3171\/2018.8.FOCUS18268","journal-title":"Neurosurg Focus"}],"container-title":["Pituitary"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11102-022-01213-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11102-022-01213-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11102-022-01213-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,6]],"date-time":"2022-06-06T17:08:10Z","timestamp":1654535290000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11102-022-01213-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,25]]},"references-count":21,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2022,6]]}},"alternative-id":["1213"],"URL":"https:\/\/doi.org\/10.1007\/s11102-022-01213-3","relation":{},"ISSN":["1386-341X","1573-7403"],"issn-type":[{"value":"1386-341X","type":"print"},{"value":"1573-7403","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,3,25]]},"assertion":[{"value":"27 February 2022","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 March 2022","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This study was approved by the Local Ethics Committee of Cerrahpasa Faculty of Medicine. The study adhered to the Tenets of Helsinki.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval:"}},{"value":"The authors declare they have no financial interests.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Financial support"}},{"value":"The authors declare that there is no conflict of interest.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"All participants were informed about the study protocol and written informed consent was obtained from each individual before enrolment in the study.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent:"}}]}}