Prediction of lymph node metastasis in primary gastric cancer from pathological images and clinical data by multimodal multiscale deep learning - Details

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Background:　Gastric　cancer　is　the　third　most　common　cause　of　cancer-related　death.　Accurate　preoperative　prediction　of　lymph　node　metastasis　(LNM)　in　primary　gastric　cancer　strongly　influences　the　choice　of　surgical　approach　and　the　prognosis　of　gastric　cancer　patients.　Objective:　To　develop　and　validate　a　deep　learning-based　model　to　analyze　routine　histological　slides　of　patients　with　primary　gastric　cancer　as　well　as　clinical　data　to　predict　the　occurrence　of　LNM　preoperatively.　Patients　and　Methods:　Radical　surgery　slides　from　309　patients　and　biopsy　slides　from　157　patients　were　collected　from　Fujian　Cancer　Hospital,　along　with　radical　surgery　slides　from　306　patients　from　The　Cancer　Genome　Atlas　(TCGA).　Clinical　data,　including　age,　gender,　lauren　classification,　and　tumor　location,　were　collected.　These　datasets　were　used　to　develop　and　validate　a　deep　learning-based　model.　Results:　Five　models　were　trained　via　cross-validation,　with　a　mean　area　under　the　receiver　operating　characteristic　curve　(AUC)　(standard　deviation　[SD])　of　0.877　(0.048)　achieved.　There　was　a　significant　difference　in　scores　between　both　classes　(LNM　positive　[N+]　and　LNM　negative　[N0])　(　p　©　2023　Elsevier　Ltd

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Biopsy Deep learning Diseases Forecasting Pathology Risk assessment Surgery

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[ 1 ] [Guo, Zhechen]College of Physics and Information Engineering, Fuzhou University, Fujian; 350108, China
[ 2 ] [Guo, Zhechen]Fujian Key Lab of Medical Instrumentation & Pharmaceutical Technology, Fuzhou University, Fujian; 350108, China
[ 3 ] [Lan, Junlin]College of Physics and Information Engineering, Fuzhou University, Fujian; 350108, China
[ 4 ] [Lan, Junlin]Fujian Key Lab of Medical Instrumentation & Pharmaceutical Technology, Fuzhou University, Fujian; 350108, China
[ 5 ] [Wang, Jianchao]Department of Pathology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou; 350014, China
[ 6 ] [Hu, Ziwei]College of Physics and Information Engineering, Fuzhou University, Fujian; 350108, China
[ 7 ] [Hu, Ziwei]Fujian Key Lab of Medical Instrumentation & Pharmaceutical Technology, Fuzhou University, Fujian; 350108, China
[ 8 ] [Wu, Zhida]Department of Pathology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou; 350014, China
[ 9 ] [Quan, Jiawei]College of Physics and Information Engineering, Fuzhou University, Fujian; 350108, China
[ 10 ] [Quan, Jiawei]Fujian Key Lab of Medical Instrumentation & Pharmaceutical Technology, Fuzhou University, Fujian; 350108, China
[ 11 ] [Han, Zixin]College of Physics and Information Engineering, Fuzhou University, Fujian; 350108, China
[ 12 ] [Han, Zixin]Fujian Key Lab of Medical Instrumentation & Pharmaceutical Technology, Fuzhou University, Fujian; 350108, China
[ 13 ] [Wang, Tao]College of Physics and Information Engineering, Fuzhou University, Fujian; 350108, China
[ 14 ] [Wang, Tao]Fujian Key Lab of Medical Instrumentation & Pharmaceutical Technology, Fuzhou University, Fujian; 350108, China
[ 15 ] [Du, Ming]College of Physics and Information Engineering, Fuzhou University, Fujian; 350108, China
[ 16 ] [Du, Ming]Fujian Key Lab of Medical Instrumentation & Pharmaceutical Technology, Fuzhou University, Fujian; 350108, China
[ 17 ] [Du, Ming]Fujian Provincial Key Laboratory of Eco-industrial Green Technology, Wuyi University, Wuyishan; 354300, China
[ 18 ] [Gao, Qinquan]College of Physics and Information Engineering, Fuzhou University, Fujian; 350108, China
[ 19 ] [Gao, Qinquan]Fujian Key Lab of Medical Instrumentation & Pharmaceutical Technology, Fuzhou University, Fujian; 350108, China
[ 20 ] [Gao, Qinquan]Imperial Vision Technology, Fuzhou; 350002, China
[ 21 ] [Xue, Yuyang]School of Engineering, University of Edinburgh, Edinburgh; EH8 9JU, United Kingdom
[ 22 ] [Tong, Tong]College of Physics and Information Engineering, Fuzhou University, Fujian; 350108, China
[ 23 ] [Tong, Tong]Fujian Key Lab of Medical Instrumentation & Pharmaceutical Technology, Fuzhou University, Fujian; 350108, China
[ 24 ] [Tong, Tong]Imperial Vision Technology, Fuzhou; 350002, China
[ 25 ] [Chen, Gang]Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou; 350014, China
[ 26 ] [Chen, Gang]Department of Pathology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou; 350014, China

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Biomedical Signal Processing and Control

ISSN： 1746-8094

Year： 2023

Volume： 86

4 . 9

JCR@2023

4 . 9 0 0

JCR@2023

ESI HC Threshold：35

JCR Journal Grade：1

CAS Journal Grade：3

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WoS CC Cited Count：

SCOPUS Cited Count： 4

ESI Highly Cited Papers on the List： 0 Unfold All

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30 Days PV： 0

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