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Automated assessment of necrosis tumor ratio in colorectal cancer using an artificial intelligence-based digital pathology analysis 基于人工智能的数字病理分析对癌症坏死肿瘤比率的自动评估
Medicine Advances Pub Date : 2023-03-21 DOI: 10.1002/med4.9
Huifen Ye, Yunrui Ye, Yiting Wang, Tong Tong, Su Yao, Yao Xu, Qingru Hu, Yulin Liu, Changhong Liang, Guangyi Wang, Ke Zhao, Xinjuan Fan, Yanfen Cui, Zaiyi Liu
{"title":"Automated assessment of necrosis tumor ratio in colorectal cancer using an artificial intelligence-based digital pathology analysis","authors":"Huifen Ye,&nbsp;Yunrui Ye,&nbsp;Yiting Wang,&nbsp;Tong Tong,&nbsp;Su Yao,&nbsp;Yao Xu,&nbsp;Qingru Hu,&nbsp;Yulin Liu,&nbsp;Changhong Liang,&nbsp;Guangyi Wang,&nbsp;Ke Zhao,&nbsp;Xinjuan Fan,&nbsp;Yanfen Cui,&nbsp;Zaiyi Liu","doi":"10.1002/med4.9","DOIUrl":"https://doi.org/10.1002/med4.9","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>With the advance in digital pathology and artificial intelligence (AI)-powered approaches, necrosis is proposed as a marker of poor prognosis in colorectal cancer (CRC). However, most previous studies quantified necrosis merely as a tissue type and patch-level segmentation. Thus, it was worth exploring and validating the prognostic and predictive value of necrosis proportion with a pixel-level segmentation in large multicenter cohorts.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A semantic segmentation model was trained with 12 tissue types labeled by pathologists. Segmentation was performed using the U-net model with a subsequently derived necrosis tumor ratio (NTR). We proposed the NTR score (NTR-low or NTR-high) to evaluate the prognostic and predictive value of necrosis for disease-free survival (DFS) and overall survival (OS) in the development (<i>N</i> = 443) and validation cohorts (<i>N</i> = 333) using 75% as a threshold.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The 2-category NTR was an independent prognostic factor and NTR-low was associated with significant prolonged DFS (unadjusted HR for high vs. low 1.72 [95% CI 1.19–2.49] and 1.98 [1.22–3.23] in the development and validation cohorts). Similar trends were observed for OS. The prognostic value of NTR was maintained in the multivariate analysis for both cohorts. Furthermore, a stratified analysis showed that NTR-high was a high risk with adjuvant chemotherapy for OS in stage II CRC (<i>p</i> = 0.047).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>AI-based pixel-level quantified NTR has a stable prognostic value in CRC associated with unfavorable survival. Additionally, adjuvant chemotherapy provided survival benefits for patients with a high NTR score in stage II CRC.</p>\u0000 </section>\u0000 </div>","PeriodicalId":100913,"journal":{"name":"Medicine Advances","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/med4.9","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50140060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Should Paxlovid be prescribed for patients with severe COVID-19 in the late course of infection? A case report 感染晚期严重新冠肺炎患者是否应服用奈玛特韦片/利托那韦片组合包装?案例报告
Medicine Advances Pub Date : 2023-03-20 DOI: 10.1002/med4.12
Qiang Li, Yibo He, Jin Liu, Xiaozhao Lu, Ziyou Zhou, Yu Kang, Wanying Wu, Jielan Wu, Feng Wang, Yinghao Sun, Wei Wang, Chengyi Hui, Wenting Wei, Miaoyun Wen, Jingjing Chen, Yong Liu
{"title":"Should Paxlovid be prescribed for patients with severe COVID-19 in the late course of infection? A case report","authors":"Qiang Li,&nbsp;Yibo He,&nbsp;Jin Liu,&nbsp;Xiaozhao Lu,&nbsp;Ziyou Zhou,&nbsp;Yu Kang,&nbsp;Wanying Wu,&nbsp;Jielan Wu,&nbsp;Feng Wang,&nbsp;Yinghao Sun,&nbsp;Wei Wang,&nbsp;Chengyi Hui,&nbsp;Wenting Wei,&nbsp;Miaoyun Wen,&nbsp;Jingjing Chen,&nbsp;Yong Liu","doi":"10.1002/med4.12","DOIUrl":"https://doi.org/10.1002/med4.12","url":null,"abstract":"<p>The infection of the coronavirus disease 2019 (COVID-19) is often accompanied by pneumonia with both high incidence and mortality. Paxlovid is commonly prescribed in patients with mild and normal pneumonia within 5 days from the symptom onset. Herein, we report a practically effective use of Paxlovid compensatively in patients with COVID-19 and severe pneumonia after 5 days of infection in a typical case in China. In this case, a 75-year-old man was diagnosed with severe COVID-19 complicated with a pulmonary bacterial infection. After treatment with oxygen inhalation, Cefoperazone-sulbactam and ambroxol, fever and upper respiratory symptoms were alleviated, except for the Oxygenation index (OI) remaining worse, Coronavirus was detected as positive, and levels of interleukin-6 remained high. Paxlovid was prescribed for 5 days subsequently though it was 14 days since symptom onset. Thereafter, the nucleic acid of the patient turned negative in 7 days and the symptoms resolved. This case showed that Paxlovid can be considered in patients with COVID-19 and severe pneumonia even in the later course of infection in clinical practice in China.</p>","PeriodicalId":100913,"journal":{"name":"Medicine Advances","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/med4.12","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50152787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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