{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T06:43:45Z","timestamp":1777877025202,"version":"3.51.4"},"reference-count":20,"publisher":"SAGE Publications","issue":"5","license":[{"start":{"date-parts":[[2025,1,7]],"date-time":"2025-01-07T00:00:00Z","timestamp":1736208000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Neuroradiol J"],"published-print":{"date-parts":[[2025,10]]},"abstract":"\n Objective<\/jats:title>\n Predicting treatment response in patients with vestibular schwannomas (VSs) remains challenging. This study aimed to evaluate the use of pre-treatment normalized apparent diffusion coefficient (nADC) values and magnetic resonance (MR) imaging characteristics in predicting treatment outcomes in patients with VSs undergoing radiosurgery.<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n \n The MR images of 44 patients with VSs who underwent radiosurgery at our institution were retrospectively reviewed, and the patients were categorized into tumor control (\n n<\/jats:italic>\n = 28) and progression (\n n<\/jats:italic>\n = 16) groups based on treatment response after treatment initiation, with a median follow-up duration of 29.5 (13\u2013115)\u00a0months. Pre-treatment nADC values for the whole tumor and solid portion of the tumor were assessed for predictive significance. MRI characteristics were analyzed, including hemorrhage status, tumor morphology, and post-treatment loss of central enhancement. Interobserver reliability was also evaluated.\n <\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n Early post-treatment enlargement was associated with tumor progression (\n p<\/jats:italic>\n = .024). The mean pre-treatment nADC values for the solid part of the tumor were significantly higher in the tumor control group than in tumor progression group (1.32 vs 1.05,\n p<\/jats:italic>\n = .005). The receiver operating characteristic curve analysis revealed a mean nADC of 1.18 as an optimal cutoff, with sensitivity and specificity of 76.2% and 86.7%, respectively, in predicting treatment response.\n <\/jats:p>\n <\/jats:sec>\n \n Conclusion<\/jats:title>\n The mean nADC values for the solid part of the tumor demonstrated predictive value for treatment response, with implications for treatment planning. Notably, early post-treatment enlargement was correlated with tumor progression. Incorporating these findings into clinical practice may refine treatment strategies for patients with VSs undergoing radiosurgery.<\/jats:p>\n <\/jats:sec>","DOI":"10.1177\/19714009251313509","type":"journal-article","created":{"date-parts":[[2025,1,7]],"date-time":"2025-01-07T04:42:43Z","timestamp":1736224963000},"page":"599-607","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Apparent diffusion coefficient and magnetic resonance imaging characteristics in predicting response to radiosurgery in patients with vestibular schwannomas"],"prefix":"10.1177","volume":"38","author":[{"given":"Nattapon","family":"Pitukkitronnagorn","sequence":"first","affiliation":[{"name":"Division of Diagnostic Radiology, Department of Radiology, Faculty of Medicine, Chulalongkorn University, King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Bangkok, Thailand"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chakkapong","family":"Chakkabat","sequence":"additional","affiliation":[{"name":"Division of Radiation Oncology, Department of Radiology, Faculty of Medicine, Chulalongkorn University, King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Bangkok, Thailand"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0861-2162","authenticated-orcid":false,"given":"Nutchawan","family":"Jittapiromsak","sequence":"additional","affiliation":[{"name":"Division of Diagnostic Radiology, Department of Radiology, Faculty of Medicine, Chulalongkorn University, King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Bangkok, Thailand"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2025,1,7]]},"reference":[{"key":"e_1_3_5_2_2","doi-asserted-by":"publisher","DOI":"10.3171\/foc.2005.18.4.11"},{"key":"e_1_3_5_3_2","doi-asserted-by":"publisher","DOI":"10.3174\/ajnr.A5213"},{"key":"e_1_3_5_4_2","first-page":"712","volume-title":"Osborn's brain: imaging, pathology, and anatomy","author":"Osborn AG","year":"2017","unstructured":"Osborn AG. 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Monitoring early response of experimental brain tumors to therapy using diffusion magnetic resonance imaging. 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