The presence of a positive deep surgical margin in tongue squamous cell carcinoma(TSCC)significantly elevates the risk of local recurrence.Therefore,a prompt and precise intraoperative assessment of margin status is i...The presence of a positive deep surgical margin in tongue squamous cell carcinoma(TSCC)significantly elevates the risk of local recurrence.Therefore,a prompt and precise intraoperative assessment of margin status is imperative to ensure thorough tumor resection.In this study,we integrate Raman imaging technology with an artificial intelligence(AI)generative model,proposing an innovative approach for intraoperative margin status diagnosis.This method utilizes Raman imaging to swiftly and non-invasively capture tissue Raman images,which are then transformed into hematoxylin-eosin(H&E)-stained histopathological images using an AI generative model for histopathological diagnosis.The generated H&E-stained images clearly illustrate the tissue’s pathological conditions.Independently reviewed by three pathologists,the overall diagnostic accuracy for distinguishing between tumor tissue and normal muscle tissue reaches 86.7%.Notably,it outperforms current clinical practices,especially in TSCC with positive lymph node metastasis or moderately differentiated grades.This advancement highlights the potential of AI-enhanced Raman imaging to significantly improve intraoperative assessments and surgical margin evaluations,promising a versatile diagnostic tool beyond TSCC.展开更多
目的:系统评价乏氧诱导因子-1α(HIF-1α)的表达与舌鳞状细胞癌(TSCC)的关系。方法:计算机检索PubMed、EMbase、ISI Web of Knowledge系列数据库、中国生物医学文献数据库(CBM)、维普(VIP)、中国期刊网全文数据库(CNKI)、万方数据,结合...目的:系统评价乏氧诱导因子-1α(HIF-1α)的表达与舌鳞状细胞癌(TSCC)的关系。方法:计算机检索PubMed、EMbase、ISI Web of Knowledge系列数据库、中国生物医学文献数据库(CBM)、维普(VIP)、中国期刊网全文数据库(CNKI)、万方数据,结合手工检索,查找时间从建库至2013-04,纳入HIF-1α的表达与TSCC关系的临床研究,文献由2位研究者按照事先制定的纳入和排除标准筛选,提取资料,质量评价后,用RevMan 5.2软件进行meta分析。结果:共纳入9个研究(702例患者),meta分析结果显示:HIF-1α的表达在TSCC组高于正常对照组(OR=10.42,P<0.000 01)。HIF-1α的表达在T1-T2期低于T3-T4期(OR=0.29,P<0.000 01)、临床分期I-II期低于III-IV期(OR=0.12,P<0.000 01)、淋巴结无转移组低于有转移组(OR=0.30,P=0.002)。病理检测高分化组与中低分化组HIF-1α的表达差异无统计学意义(OR=0.41,P=0.08)。结论:HIF-1α在TSCC中高表达,增加其恶性行为的发生风险。展开更多
基金supported by the National Natural Science Foundation of China(Grant Nos.82272955 and 22203057)the Natural Science Foundation of Fujian Province(Grant No.2021J011361).
文摘The presence of a positive deep surgical margin in tongue squamous cell carcinoma(TSCC)significantly elevates the risk of local recurrence.Therefore,a prompt and precise intraoperative assessment of margin status is imperative to ensure thorough tumor resection.In this study,we integrate Raman imaging technology with an artificial intelligence(AI)generative model,proposing an innovative approach for intraoperative margin status diagnosis.This method utilizes Raman imaging to swiftly and non-invasively capture tissue Raman images,which are then transformed into hematoxylin-eosin(H&E)-stained histopathological images using an AI generative model for histopathological diagnosis.The generated H&E-stained images clearly illustrate the tissue’s pathological conditions.Independently reviewed by three pathologists,the overall diagnostic accuracy for distinguishing between tumor tissue and normal muscle tissue reaches 86.7%.Notably,it outperforms current clinical practices,especially in TSCC with positive lymph node metastasis or moderately differentiated grades.This advancement highlights the potential of AI-enhanced Raman imaging to significantly improve intraoperative assessments and surgical margin evaluations,promising a versatile diagnostic tool beyond TSCC.
文摘目的:系统评价乏氧诱导因子-1α(HIF-1α)的表达与舌鳞状细胞癌(TSCC)的关系。方法:计算机检索PubMed、EMbase、ISI Web of Knowledge系列数据库、中国生物医学文献数据库(CBM)、维普(VIP)、中国期刊网全文数据库(CNKI)、万方数据,结合手工检索,查找时间从建库至2013-04,纳入HIF-1α的表达与TSCC关系的临床研究,文献由2位研究者按照事先制定的纳入和排除标准筛选,提取资料,质量评价后,用RevMan 5.2软件进行meta分析。结果:共纳入9个研究(702例患者),meta分析结果显示:HIF-1α的表达在TSCC组高于正常对照组(OR=10.42,P<0.000 01)。HIF-1α的表达在T1-T2期低于T3-T4期(OR=0.29,P<0.000 01)、临床分期I-II期低于III-IV期(OR=0.12,P<0.000 01)、淋巴结无转移组低于有转移组(OR=0.30,P=0.002)。病理检测高分化组与中低分化组HIF-1α的表达差异无统计学意义(OR=0.41,P=0.08)。结论:HIF-1α在TSCC中高表达,增加其恶性行为的发生风险。
