Computerized tumor-infiltrating lymphocytes density score predicts survival of patients with resectable lung adenocarcinoma.
Computerized tumor-infiltrating lymphocytes density score predicts survival of patients with resectable lung adenocarcinoma.
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计算机化肿瘤浸润淋巴细胞密度评分可预测可切除肺腺癌患者的生存率
DOI：
10.1016/j.isci.2022.105605
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发表时间：
2022-12-22
期刊：
影响因子：
5.8
通讯作者：
Liu Z
中科院分区：
文献类型：
--
作者：
Pan X;Lin H;Han C;Feng Z;Wang Y;Lin J;Qiu B;Yan L;Li B;Xu Z;Wang Z;Zhao K;Liu Z;Liang C;Chen X;Li Z;Cui Y;Lu C;Liu Z
A high abundance of tumor-infiltrating lymphocytes (TILs) has a positive impact on the prognosis of patients with lung adenocarcinoma (LUAD). We aimed to develop and validate an artificial intelligence-driven pathological scoring system for assessing TILs on H&E-stained whole-slide images of LUAD. Deep learning-based methods were applied to calculate the densities of lymphocytes in cancer epithelium (DLCE) and cancer stroma (DLCS), and a risk score (WELL score) was built through linear weighting of DLCE and DLCS. Association between WELL score and patient outcome was explored in 793 patients with stage I-III LUAD in four cohorts. WELL score was an independent prognostic factor for overall survival and disease-free survival in the discovery cohort and validation cohorts. The prognostic prediction model-integrated WELL score demonstrated better discrimination performance than the clinicopathologic model in the four cohorts. This artificial intelligence-based workflow and scoring system could promote risk stratification for patients with resectable LUAD. TILs assessment system was developed on H&E-stained WSIs of lung adenocarcinoma WELL score was an independent prognostic factor in terms of OS and DFS Prediction model integrated with WELL score demonstrated better performance Health sciences; Immunology; Cancer; Artificial intelligence
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影响因子：
5.3
作者：
Gachechiladze, Mariam;Skarda, Josef;Joerger, Markus
通讯作者：
Joerger, Markus
影响因子：
78.8
作者：
Bera, Kaustav;Schalper, Kurt A.;Madabhushi, Anant
通讯作者：
Madabhushi, Anant
DOI：
10.1016/j.annonc.2021.09.021
发表时间：
2022-01
期刊：
Annals of oncology : official journal of the European Society for Medical Oncology
影响因子：
--
作者：
通讯作者：
--
影响因子：
6
作者：
Park, Jonghanne;Cho, Hyung-Gyo;Chae, Young Kwang
通讯作者：
Chae, Young Kwang
DOI：
10.1093/jnci/djab215
发表时间：
2022-04-11
期刊：
Journal of the National Cancer Institute
影响因子：
--
作者：
Corredor G;Toro P;Koyuncu C;Lu C;Buzzy C;Bera K;Fu P;Mehrad M;Ely KA;Mokhtari M;Yang K;Chute D;Adelstein DJ;Thompson LDR;Bishop JA;Faraji F;Thorstad W;Castro P;Sandulache V;Koyfman SA;Lewis JS;Madabhushi A
通讯作者：
Madabhushi A