Deep learning for detection and automatic visualization of radiation-induced temporal lobe injury in nasopharyngeal carcinoma across endemic and non-endemic areas in China.

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Title: Deep learning for detection and automatic visualization of radiation-induced temporal lobe injury in nasopharyngeal carcinoma across endemic and non-endemic areas in China.
Authors: Yang SS; Tumor Research and Therapy Center, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No. 324 Jingwu Road, Jinan 250021, Shandong, China; Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, No. 651 Dongfeng Road East, Guangzhou 510060, China., Zhao YN; Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, No. 651 Dongfeng Road East, Guangzhou 510060, China., He Y; Department of Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, No. 651 Dongfeng Road East, Guangzhou 510060, China., Liu YB; Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No. 324 Jingwu Road, Jinan 250021, Shandong, China., Feng AL; Tumor Research and Therapy Center, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No. 324 Jingwu Road, Jinan 250021, Shandong, China., OuYang PY; Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, No. 651 Dongfeng Road East, Guangzhou 510060, China. Electronic address: ouyangpy@sysucc.org.cn., Yang Z; Tumor Research and Therapy Center, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No. 324 Jingwu Road, Jinan 250021, Shandong, China. Electronic address: sdslyyyz@sina.com.
Source: Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology [Radiother Oncol] 2026 Aug; Vol. 221, pp. 111596. Date of Electronic Publication: 2026 May 13.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Scientific Publishers Country of Publication: Ireland NLM ID: 8407192 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0887 (Electronic) Linking ISSN: 01678140 NLM ISO Abbreviation: Radiother Oncol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Deep learning for detection and automatic visualization of radiation-induced temporal lobe injury in nasopharyngeal carcinoma across endemic and non-endemic areas in China.
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  Data: <searchLink fieldCode="AU" term="%22Yang+SS%22">Yang SS</searchLink>; Tumor Research and Therapy Center, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No. 324 Jingwu Road, Jinan 250021, Shandong, China; Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, No. 651 Dongfeng Road East, Guangzhou 510060, China.<br /><searchLink fieldCode="AU" term="%22Zhao+YN%22">Zhao YN</searchLink>; Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, No. 651 Dongfeng Road East, Guangzhou 510060, China.<br /><searchLink fieldCode="AU" term="%22He+Y%22">He Y</searchLink>; Department of Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, No. 651 Dongfeng Road East, Guangzhou 510060, China.<br /><searchLink fieldCode="AU" term="%22Liu+YB%22">Liu YB</searchLink>; Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No. 324 Jingwu Road, Jinan 250021, Shandong, China.<br /><searchLink fieldCode="AU" term="%22Feng+AL%22">Feng AL</searchLink>; Tumor Research and Therapy Center, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No. 324 Jingwu Road, Jinan 250021, Shandong, China.<br /><searchLink fieldCode="AU" term="%22OuYang+PY%22">OuYang PY</searchLink>; Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, No. 651 Dongfeng Road East, Guangzhou 510060, China. Electronic address: ouyangpy@sysucc.org.cn.<br /><searchLink fieldCode="AU" term="%22Yang+Z%22">Yang Z</searchLink>; Tumor Research and Therapy Center, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No. 324 Jingwu Road, Jinan 250021, Shandong, China. Electronic address: sdslyyyz@sina.com.
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  Data: <searchLink fieldCode="JN" term="%228407192%22">Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology</searchLink> [Radiother Oncol] 2026 Aug; Vol. 221, pp. 111596. <i>Date of Electronic Publication: </i>2026 May 13.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Scientific+Publishers%22">Elsevier Scientific Publishers </searchLink><i>Country of Publication: </i>Ireland <i>NLM ID: </i>8407192 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1879-0887 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2201678140%22">01678140 </searchLink><i>NLM ISO Abbreviation: </i>Radiother Oncol <i>Subsets: </i>MEDLINE
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      – Type: doi
        Value: 10.1016/j.radonc.2026.111596
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        Text: English
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      – TitleFull: Deep learning for detection and automatic visualization of radiation-induced temporal lobe injury in nasopharyngeal carcinoma across endemic and non-endemic areas in China.
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              M: 08
              Text: 2026 Aug
              Type: published
              Y: 2026
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