Developing a Nomogram for Predicting Colorectal Cancer and Its Precancerous Lesions Based on Data from Three Non-Invasive Screening Tools, APCS, FIT, and sDNA

Yuan Ze1 Tumor Research and Therapy Center, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, People’s Republic of China

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Hui-Ming Tu2 Department of Gastroenterology, Affiliated Hospital of Jiangnan University, Wuxi, 214122, People’s Republic of ChinaCorrespondence[email protected]
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Yuan-Yuan Zhao1 Tumor Research and Therapy Center, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, People’s Republic of ChinaCorrespondence[email protected]
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Lin Zhang3 Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, 230026, People’s Republic of China;4 School of Population Medicine and Public Health, Peking Union Medical College/Chinese Academy of Medical Sciences, Beijing, 100053, People’s Republic of ChinaView further author information

Developing a Nomogram for Predicting Colorectal Cancer and Its Precancerous Lesions Based on Data from Three Non-Invasive Screening Tools, APCS, FIT, and sDNA

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Developing a Nomogram for Predicting Colorectal Cancer and Its Precancerous Lesions Based on Data from Three Non-Invasive Screening Tools, APCS, FIT, and sDNA

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