ArticleScientific reports2020
Risk prediction for malignant intraductal papillary mucinous neoplasm of the pancreas: logistic regression versus machine learning.
Open access · goldAbstract readComparative StudyMulticenter Study
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Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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14citing papers in PubMed, 1 pooled it
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.
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Authors and funding
61 authors at 20 institutions in 8 countries.
Jae Seung KangDepartment of Surgery and Cancer Research Institute, Seoul National University College of Medicine, 101 Daehak-ro, Chongno-gu, Seoul, 03080, South Korea.
Chanhee LeeDepartment of Statistics and Interdisciplinary Program in Biostatistics, Seoul National University, 56-1 Shillim-Dong, Kwanak-Gu, Seoul, 151-747, South Korea.
Wookyeong SongDepartment of Statistics and Interdisciplinary Program in Biostatistics, Seoul National University, 56-1 Shillim-Dong, Kwanak-Gu, Seoul, 151-747, South Korea.
Wonho ChooDepartment of Statistics and Interdisciplinary Program in Biostatistics, Seoul National University, 56-1 Shillim-Dong, Kwanak-Gu, Seoul, 151-747, South Korea.
Seungyeoun LeeDepartment of Mathematics and Statistics, Sejong University, Seoul, South Korea.
Sungyoung LeeCenter for Precision Medicine, Seoul National University Hospital, Seoul, South Korea.
Youngmin HanDepartment of Surgery and Cancer Research Institute, Seoul National University College of Medicine, 101 Daehak-ro, Chongno-gu, Seoul, 03080, South Korea.
Claudio BassiDepartment of General and Pancreatic Surgery, The Pancreas Institute, University of Verona Hospital Trust, Verona, Italy.
Roberto SalviaDepartment of General and Pancreatic Surgery, The Pancreas Institute, University of Verona Hospital Trust, Verona, Italy.
Giovanni MarchegianiDepartment of General and Pancreatic Surgery, The Pancreas Institute, University of Verona Hospital Trust, Verona, Italy.
Cristopher L WolfgangDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, USA.
Jin HeDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, USA.
Alex B BlairDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, USA.
Michael D KlugerDivision of Gastrointestinal and Endocrine Surgery, Department of Surgery, College of Physicians and Surgeon, Columbia University, New York, USA.
Gloria H SuDepartment of Pathology and Cell Biology, Columbia University Medical Center, New York, USA.
Song Cheol KimDepartment of Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, South Korea.
Ki-Byung SongDepartment of Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, South Korea.
Masakazu YamamotoDepartment of Surgery, Institute of Gastroenterology, Tokyo Women's Medical University, Tokyo, Japan.
Ryota HiguchiDepartment of Surgery, Institute of Gastroenterology, Tokyo Women's Medical University, Tokyo, Japan.
Takashi HatoriDepartment of Surgery, Institute of Gastroenterology, Tokyo Women's Medical University, Tokyo, Japan.
Ching-Yao YangDepartment of Surgery, National Taiwan University Hospital and National Taiwan Hospital, Taipei, Taiwan.
Hiroki YamaueSecond Department of Surgery, School of Medicine, Wakayama Medical University, Wakayama, Japan.
Seiko HironoSecond Department of Surgery, School of Medicine, Wakayama Medical University, Wakayama, Japan.
Sohei SatoiDepartment of Surgery, Kansai Medical University, Osaka, Japan.
Tsutomu FujiiDepartment of Gastroenterological Surgery (Surgery II), Nagoya University Graduate School of Medicine, Nagoya, Japan.
Satoshi HiranoDepartment of Gastroenterological Surgery II, Faculty of Medicine, Hokkaido University, Hokkaido, Japan.
Wenhui LouDepartment of Pancreatic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Yasushi HashimotoDepartment of Surgery, Institute of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Yasuhiro ShimizuGastroenterological Surgery, Aichi Cancer Center Hospital, Aichi, Japan.
Marco Del ChiaroPancreatic Surgery Unit, Division of Surgery, Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institute At Center for Digestive Diseases, Karolinska University Hospital, Stockholm, Sweden.
Roberto ValentePancreatic Surgery Unit, Division of Surgery, Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institute At Center for Digestive Diseases, Karolinska University Hospital, Stockholm, Sweden.
Matthias LohrDepartment of Clinical Science, Intervention, and Technology (CLINTEC), Karolinska Institute, Stockholm, Sweden.
Dong Wook ChoiDepartment of Surgery, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Seong Ho ChoiDepartment of Surgery, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Jin Seok HeoDepartment of Surgery, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Fuyuhiko MotoiDepartment of Surgery, Tohoku University, Tohoku, Japan.
Ippei MatsumotoDepartment of Surgery, Kobe University Graduate School of Medicine, Kobe, Japan.
Woo Jung LeePancreaticobiliary Cancer Clinic, Yonsei University College of Medicine, Yonsei Cancer Center, Severance Hospital, Seoul, South Korea.
Chang Moo KangPancreaticobiliary Cancer Clinic, Yonsei University College of Medicine, Yonsei Cancer Center, Severance Hospital, Seoul, South Korea.
Yi-Ming ShyrDepartment of Surgery, Taipei Veterans General Hospital and National Yang Ming University, Taipei, Taiwan.
Shin-E WangDepartment of Surgery, Taipei Veterans General Hospital and National Yang Ming University, Taipei, Taiwan.
Ho-Seong HanDepartment of Surgery, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seoul, South Korea.
Yoo-Seok YoonDepartment of Surgery, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seoul, South Korea.
Marc G BesselinkDepartment of Surgery, Cancer Center Amsterdam, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Nadine C M van HuijgevoortDepartment of Gastroenterology and Hepatology, Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Masayuki ShoDepartment of Surgery, Nara Medical University, Nara, Japan.
Hiroaki NaganoDepartment of Surgery, Osaka University Graduate School of Medicine, Osaka, Japan.
Sang Geol KimDepartment of Surgery, Kyungpook National University, Daegu, South Korea.
Goro HondaDepartment of Surgery, Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital, Tokyo, Japan.
Yinmo YangDepartment of General Surgery, Peking University First Hospital, Beijing, China.
Hee Chul YuDepartment of Surgery, Jeonbuk National University Medical School, Jeonju, South Korea.
Jae Do YangDepartment of Surgery, Jeonbuk National University Medical School, Jeonju, South Korea.
Jun Chul ChungDepartment of Surgery, Soonchunhyang University, Asan, South Korea.
Yuichi NagakawaDepartment of Gastrointestinal and Pediatric Surgery, Tokyo Medical University, Tokyo, Japan.
Hyung Il SeoDepartment of Surgery, Pusan National University, Pusan, South Korea.
Yoo Jin ChoiDepartment of Surgery and Cancer Research Institute, Seoul National University College of Medicine, 101 Daehak-ro, Chongno-gu, Seoul, 03080, South Korea.
Yoonhyeong ByunDepartment of Surgery and Cancer Research Institute, Seoul National University College of Medicine, 101 Daehak-ro, Chongno-gu, Seoul, 03080, South Korea.
Hongbeom KimDepartment of Surgery and Cancer Research Institute, Seoul National University College of Medicine, 101 Daehak-ro, Chongno-gu, Seoul, 03080, South Korea.
Wooil KwonDepartment of Surgery and Cancer Research Institute, Seoul National University College of Medicine, 101 Daehak-ro, Chongno-gu, Seoul, 03080, South Korea.
Taesung ParkDepartment of Statistics and Interdisciplinary Program in Biostatistics, Seoul National University, 56-1 Shillim-Dong, Kwanak-Gu, Seoul, 151-747, South Korea. tspark@stats.snu.ac.kr.
Jin-Young JangDepartment of Surgery and Cancer Research Institute, Seoul National University College of Medicine, 101 Daehak-ro, Chongno-gu, Seoul, 03080, South Korea. jangjy4@snu.ac.kr.
Seoul National University Hospital · KRSeoul National University · KRSungkyunkwan University · KRUniversity of Verona · ITJeonbuk National University · KRJohns Hopkins Medicine · USKarolinska Institutet · SESeoul National University Bundang Hospital · KRTokyo Women's Medical University · JPWakayama Medical University · JPYonsei University · KRAichi Cancer Center · JPAmsterdam University Medical Centers · NLAsan Medical Center · KRColumbia University · USColumbia University Irving Medical Center · USHiroshima University · JPHokkaido University · JPJohns Hopkins University · USKansai Medical University · JP
Funding
The Development And Progression Of IPMN To PDA In The Context Of Inactivated Activin SignalingR01CA217207 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SU, GLORIA HUEI-TING · 2017 to 2021
$2.4MNCI NIH HHS R01 CA217207
Abstract
Most models for predicting malignant pancreatic intraductal papillary mucinous neoplasms were developed based on logistic regression (LR) analysis. Our study aimed to develop risk prediction models using machine learning (ML) and LR techniques and compare their performances. This was a multinational, multi-institutional, retrospective study. Clinical variables including age, sex, main duct diameter, cyst size, mural nodule, and tumour location were factors considered for model development (MD). After the division into a MD set and a test set (2:1), the best ML and LR models were developed by training with the MD set using a tenfold cross validation. The test area under the receiver operating curves (AUCs) of the two models were calculated using an independent test set. A total of 3,708 patients were included. The stacked ensemble algorithm in the ML model and variable combinations containing all variables in the LR model were the most chosen during 200 repetitions. After 200 repetitions, the mean AUCs of the ML and LR models were comparable (0.725 vs. 0.725). The performances of the ML and LR models were comparable. The LR model was more practical than ML counterpart, because of its convenience in clinical use and simple interpretability.
Indexed as
Logistic ModelsMachine LearningAgedAlgorithmsDiagnosis, Computer-AssistedFemaleHumansMaleMiddle AgedPancreatic CystPancreatic Intraductal NeoplasmsPrognosisRetrospective StudiesRisk Factors
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