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| 1 | Development and validation of an endoscopic images-based deep learning model for detection with nasopharyngeal malignancies显示文摘Background:Due to the occult anatomic location of the nasopharynx and frequent presence of adenoid hyperpla-sia,the positive rate for malignancy identification during biopsy is low,thus leading to delayed or missed diagnosis for nasopharyngeal malignancies upon initial attempt.Here,we aimed to develop an artificial intelligence tool to detect nasopharyngeal malignancies under endoscopic examination based on deep learning.Methods:An endoscopic images-based nasopharyngeal malignancy detection model(eNPM-DM)consisting of a fully convolutional network based on the inception architecture was developed and fine-tuned using separate training and validation sets for both classification and segmentation.Briefly,a total of 28,966 qualified images were collected.Among these images,27,536 biopsy-proven images from 7951 individuals obtained from January 1st,2008,to December 31st,2016,were split into the training,validation and test sets at a ratio of 7:1:2 using simple randomiza-tion.Additionally,1430 images obtained from January 1st,2017,to March 31st,2017,were used as a prospective test set to compare the performance of the established model against oncologist evaluation.The dice similarity coef-ficient(DSC)was used to evaluate the efficiency of eNPM-DM in automatic segmentation of malignant area from the background of nasopharyngeal endoscopic images,by comparing automatic segmentation with manual segmenta-tion performed by the experts.Results:All images were histopathologically confirmed,and included 5713(19.7%)normal control,19,107(66.0%)nasopharyngeal carcinoma(NPC),335(1.2%)NPC and 3811(13.2%)benign diseases.The eNPM-DM attained an overall accuracy of 88.7%(95%confidence interval(CI)87.8%-89.5%)in detecting malignancies in the test set.In the prospective comparison phase,eNPM-DM outperformed the experts:the overall accuracy was 88.0%(95%CI 86.1%-89.6%)vs.80.5%(95%CI 77.0%-84.0%).The eNPM-DM required less time(40 s vs.110.0±5.8 min)and exhibited encouraging performance in automatic segmentation of nasopharyngeal malignant area from the background,with an average DSC of 0.78±0.24 and 0.75±0.26 in the test and prospective test sets,respectively.Conclusions:The eNPM-DM outperformed oncologist evaluation in diagnostic classification of nasopharyngeal mass into benign versus malignant,and realized automatic segmentation of malignant area from the background of nasopharyngeal endoscopic images. | Chaofeng Li Bingzhong Jing Liangru Ke Bin Li Weixiong Xia Caisheng He Chaonan Qian Chong Zhao Haiqiang Mai Mingyuan Chen Kajia Cao Haoyuan Mo Ling Guo Qiuyan Chen Linquan Tang Wenze Qiu Yahui Yu Hu Liang Xinjun Huang Guoying Liu Wangzhong Li Lin Wang Rui Sun Xiong Zou Shanshan Guo Peiyu Huang Donghua Luo Fang Qiu Yishan Wu Yijun Hua Kuiyuan Liu Shuhui Lv Jingjing Miao Yanqun Xiang Ying Sun Xiang Guo Xing Lv | 2018 | Cancer Communications2018，38，1： | 9 |
| 2 | Famitinib in combination with concurrent chemoradiotherapy in patients with locoregionally advanced nasopharyngeal carcinoma: a phase 1, open-label, dose-escalation Study显示文摘Background:Famitinib is a tyrosine kinase inhibitor against multiple targets,including vascular endothelial growth factor receptor 2/3,platelet-derived growth factor receptor,and stem cell factor receptor(c-kit).Previous studies have demonstrated anti-tumour activities of famitinib against a wide variety of advanced-stage solid cancers.We aimed to determine the safety and efficacy of famitinib with concurrent chemoradiotherapy(CCRT)in patients with locoregionally advanced nasopharyngeal carcinoma(NPC).We also evaluated the feasibility of contrast-enhanced ultrasound(D-CEUS)as a predictor of early tumour response to famitinib and to correlate functional parameters with clinical efficacy.Methods:The trial was conducted in subjects with stage III or IVa-b NPC using a 3+3 design of escalating fami-tinib doses.Briefly,subjects received 2 weeks of famitinib monotherapy followed by 7 weeks of famitinib plus CCRT.D-CEUS of the neck lymph nodes was performed at day 0,8 and 15 after famitinib was administered before starting concurrent chemoradiotherapy.End points included safety,tolerability and anti-tumour activity.Results:Twenty patients were enrolled(six each for 12.5,16.5 and 20 mg and two for 25 mg).Two patients in the 25 mg cohort developed dose-limiting toxicities,including grade 4 thrombocytopenia and grade 3 hypertension.The most common grade 3/4 adverse events were leukopenia,neutropenia and radiation mucositis.D-CEUS tests showed that more than 60%of patients achieved a perfusion parameter response after 2 weeks taking famitinib alone,and the parameter response was associated with disease improvement.In the famitinib monotherapy stage,three patients(15%)showed partial responses.The complete response rate was 65%at the completion of treatment and 95%3 months after the treatment ended.After a median follow-up of 44 months,the 3-year progression-free survival(PFS)and distant metastasis-free survival were 70%and 75%,respectively.Subjects with a decrease of perfusion parameter response,such as peak intensity decreased at least 30%after 1 week of famitinib treatment,had higher 3-year PFS(90.9%vs.44.4%,95%CI 73.7%-100%vs.11.9%-76.9%,P<0.001)than those with an increase or a reduction of less than 30%.Conclusions:The recommended famitinib dose for phase II trial is 20 mg with CCRT for patients with local advanced NPC.D-CEUS is a reliable and early measure of efficacy for famitinib therapies.Further investigation is required to confirm the effects of famitinib plus chemoradiotherapy. | Qiuyan Chen Linquan Tang Na Liu Feng Han Ling Guo Shanshan Guo Jianwei Wang Huai Liu Yanfang Ye Lu Zhang Liting Liu Pan Wang Yingqin Li Qingmei He Xiaoqun Yang Qingnan Tang Yang Li YuJing Liang XueSong Sun Chuanmiao Xie Yunxian Mo Ying Guo Rui Sun Haoyuan Mo Kajia Cao Xiang Guo Musheng Zeng Haiqiang Mai Jun Ma | 2018 | Cancer Communications2018，38，1： | 6 |
| 3 | In-cell infection: a novel pathway for Epstein-Barr virus infection mediated by cell-in-cell structures显示文摘 | Chao Ni Yuhui Chen Musheng Zeng Rongjuan Pei Yong Du Linquan Tang Mengyi Wang Yazhuo Hu Hanyu Zhu Meifang He Xiawei Wei Shan Wang Xiangkai Ning Manna Wang Jufang Wang Li Ma Xinwen Chen Qiang Sun Hong Tang Ying Wang Xiaoning Wang | 2015 | Cell Research2015，25，7： | 3 |
| 4 | Establishment of a prognostic scoring model for regional recurrent nasopharyngeal carcinoma after neck dissection显示文摘Objective:The main aim of this study was to establish a scoring model to predict risk of progression and survival in patients with regionally recurrent nasopharyngeal carcinoma(NPC).Methods:Three hundred and forty-eight patients subjected to neck dissection from 2003 to 2017 were included for study.Clinicopathologic information for each patient was analyzed.Independent prognostic factors were selected using the Cox proportional hazards model and incorporated into the scoring model.Concordance index(C-index)and calibration curves were used to verify discrimination and calibration,respectively and the results validated using bootstrap resampling.Results:Microscopic positive lymph node>2[hazard ratio(HR),2.19;95%confidence interval(CI),1.30–3.68;P=0.003],extranodal extension(HR,2.75;95%CI,1.69–4.47;P<0.001),and lower neck involvement(HR,1.78;95%CI,1.04–3.04;P=0.034)were identified from multivariate analysis as independent factors for overall survival(OS).A qualitative 4-point scale was generated to stratify patients into 4 risk groups for predicting OS and progression-free survival(PFS).The novel scoring model demonstrated enhanced discrimination(C-index=0.69;95%CI,0.62–0.76)relative to the original recurrent tumor-node-metastasis(rTNM)staging system(C-index=0.56;95%CI,0.50–0.62),and was internally validated with a bootstrap-adjusted C-index of 0.70.The calibration curve showed good agreement between predicted probabilities and actual observations.Conclusions:The scoring system established in this study based on a large regionally recurrent NPC cohort fills a gap regarding assessment of risk and prediction of survival outcomes after neck dissection in this population and could be further applied to identify high-risk patients who may benefit from more aggressive intervention. | Xiaoyun Li Chao Lin Jinjie Yan Qiuyan Chen Xuesong Sun Sailan Liu Shanshan Guo Liting Liu Haojun Xie Qingnan Tang Yujing Liang Ling Guo Hao Li Xuekui Liu Xiang Guo Linquan Tang Haiqiang Mai | 2020 | Cancer Biology & Medicine2020，17，1： | 0 |
| 5 | Prognostic significance of a combined and controlled nutritional status score and EBV-DNA in patients with advanced nasopharyngeal carcinoma:a long-term follow-up study显示文摘Objective:Several studies have reported that the controlling nutritional status(CONUT)score is a prognostic predictor for survival among patients with different types of cancer.We assessed the prognostic value of changes in the CONUT score during treatment and theΔCONUT-EBV DNA score in patients with advanced nasopharyngeal carcinoma(NPC).Methods:We retrospectively analyzed 433 patients with advanced NPC having no evidence of metastasis from January 2007 to June 2011;the patients underwent radical concurrent chemoradiotherapy(CCRT)at Sun Yat-sen University Cancer Center and were grouped based on theirΔCONUT andΔCONUT-EBV DNA scores.Kaplan-Meier curves were used to compare the patient outcomes according to the cut-offΔCONUT score and theΔCONUT-EBV DNA scoring system.Results:Among all patients,overall survival(OS)was independently predicted by a highΔCONUT score(P=0.031)and high EBV DNA(P<0.001).TheΔCONUT-EBV DNA score[OS area under the curve(AUC)=0.621;progression free survival(PFS)-AUC=0.612;distant metastasis-free survival(DMFS)-AUC=0.622]was more predictive of OS,PFS,and DMFS in patients with advanced NPC than theΔCONUT score(OS-AUC=0.547;PFS-AUC=0.533;DMFS-AUC=0.522)and pretreatment plasma EBV DNA levels alone(OS-AUC=0.600;PFS-AUC=0.591,DMFS-AUC=0.610).TheΔCONUT-EBV DNA score was significantly correlated with OS,PFS,and DMFS in patients with advanced NPC treated with CCRT.Conclusions:TheΔCONUT-EBV DNA score may be useful in clinical practice as a convenient biomarker for predicting the outcomes in patients with advanced NPC treated with CCRT. | Hui Lu Shanshan Guo Liting Liu Qiuyan Chen Yujing Liang Sailan Liu Xuesong Sun QingnanTang Xiaoyun Li Ling Guo Haoyuan Mo Linquan Tang Haiqiang Mai | 2022 | Cancer Biology & Medicine2022，19，4： | 0 |
| 6 | 基于内镜图像深度学习的鼻咽恶性肿瘤检测模型的建立与验证显示文摘背景与目的由于鼻咽部解剖位置隐匿且腺体增生频发,活检时恶性肿瘤的阳性率较低,从而导致初诊时鼻咽恶性肿瘤确诊延时或漏诊。本文旨在建立一种人工智能工具——基于深度学习的内镜检查,来检测鼻咽恶性肿瘤。方法建立了一种基于内镜图像的鼻咽恶性肿瘤检测模型(endoscopic imagesbased nasopharyngeal malignancies detection model,eNPM-DM),该模型由基于空间结构的全卷积网络构成,采用单独训练集和验证集对分类和分割进行微调。总共收集了28,966张合格图像。其中,自2008年1月1日至2016年12月31日,从7951例个体中获得了27,536张经活检证实的图像,按照7∶1∶2的比例随机分为训练、验证和测试集。此外,将2017年1月1日到2017年3月31日获得的1430张图像纳入预测集,用以对建立模型的性能与肿瘤专家的评价进行比较。以鼻咽镜图像为背景,对自动分割和专家手工分割进行比较,采用dice相似系数(dice similarity coefficient,DSC)评价eNPM-DM从鼻咽部内镜图像的背景中自动分割出恶性肿瘤区域的效率。结果所有图像经过病理组织学验证,包括正常对照5713(19.7%)例、鼻咽癌(nasopharyngeal carcinoma,NPC)19,107(66.0%)例、其他恶性肿瘤335(1.2%)例和3811(13.2%)例良性病变。在测试集中,eNPM-DM检测恶性肿瘤的总准确率达88.7%[95%置信区间(confidence interval,CI):87.8%–89.5%]。在预测比较阶段,eNPM-DM表现优于专家:总准确率分别为88.0%(95%CI:86.1%–89.6%)和80.5%(95%CI:77.0%–84.0%)。eNPM-DM耗时更短(40 s vs. 110.0±5.8 min),且从背景中自动分割出鼻咽恶性肿瘤区域方面表现优秀,测试集和预测集中的平均DSC分别为0.78±0.24和0.75±0.26。结论 eNPM-DM在鼻咽肿块良性/恶性诊断分类方面优于肿瘤学家评估,并且实现了从鼻咽内镜图像背景中对恶性区域自动分割。 | Chaofeng Li Bingzhong Jing Liangru Ke Bin Li Weixiong Xia Caisheng He Chaonan Qian Chong Zhao Haiqiang Mai Mingyuan Chen Kajia Cao Haoyuan Mo Ling Guo Qiuyan Chen Linquan Tang Wenze Qiu Yahui Yu Hu Liang Xinjun Huang Guoying Liu Wangzhong Li Lin Wang Rui Sun Xiong Zou Shanshan Guo Peiyu Huang Donghua Luo Fang Qiu Yishan Wu Yijun Hua Kuiyuan Liu Shuhui Lv Jingjing Miao Yanqun Xiang Ying Sun Xiang Guo Xing Lv | 2019 | 癌症2019，38，7： | 0 |
| 7 | Ultrathin organic polymer with p-πconjugated structure for simultaneous photocatalytic disulfide bond generation and CO_(2)reduction显示文摘Combining photocatalytic organic reactions with CO_(2)reduction is an efficient solar energy utilization mode,but it is still limited by the organic species that can be matched and the low conversion.Herein,ultrathin organic polymer with p-πconjugated structure(TPP)was rationally designed and prepared,and showed a high yield of CO(15.2 mmol g^(-1))and conversion of SAS coupled products(100%),far exceeding the organic polymer with P=O structure.The enhanced photoredox activity of TPP is ascribed to the orbital interaction between the p-orbital on phosphorus and theπ-orbitals of aromatic,which can accelerate the photoinduced charge carrier separation and improve the CO_(2)adsorption capacity.TPP can also be used for the dehydrocoupling of various benzyl mercaptans to the corresponding SAS bond products.This work provides a new concept for the efficient synthesis of disulfide bonds combined with CO_(2)reduction in a photoreaction system. | Linquan Hou Zhunyun Tang Guojiang Mao Shiheng Yin Bei Long Tao Ouyang Guo-Jun Deng Atif Ali Ting Song | 2023 | Journal of Energy Chemistry2023，，1： | 0 |
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