Kim, Hyeong SeokHyeong SeokKimSong, WookyeongWookyeongSongChoo, WonhoWonhoChooLee, SungyoungSungyoungLeeHan, YoungminYoungminHanBassi, ClaudioClaudioBassiSalvia, RobertoRobertoSalviaMarchegiani, GiovanniGiovanniMarchegianiWolfgang, Christopher LChristopher LWolfgangHe, JinJinHeBlair, Alex BAlex BBlairKluger, Michael DMichael DKlugerSu, Gloria HGloria HSuKim, Song CheolSong CheolKimSong, Ki-ByungKi-ByungSongYamamoto, MasakazuMasakazuYamamotoHatori, TakashiTakashiHatoriCHING-YAO YANGSatoi, SoheiSoheiSatoiLou, WenhuiWenhuiLouShimizu, YasuhiroYasuhiroShimizuDel Chiaro, MarcoMarcoDel ChiaroLohr, MatthiasMatthiasLohrChoi, Dong WookDong WookChoiLee, Woo JungWoo JungLeeHan, Ho-SeongHo-SeongHanBesselink, Marc GMarc GBesselinkvan Huijgevoort, Nadine C MNadine C Mvan HuijgevoortNagano, HiroakiHiroakiNaganoYang, YinmoYinmoYangChung, Jun ChulJun ChulChungJang, Jin-Young et al,Jin-Young et al,Jang2021-06-232021-06-23202318686974https://scholars.lib.ntu.edu.tw/handle/123456789/566116Although we previously proposed a nomogram to predict malignancy in intraductal papillary mucinous neoplasms (IPMN) and validated it in an external cohort, its application is challenging without data on tumor markers. Moreover, existing nomograms have not been compared. This study aimed to develop a nomogram based on radiologic findings and to compare its performance with previously proposed American and Korean/Japanese nomograms.encancer; intraductal papillary mucinous neoplasms of the pancreas; malignancy prediction; nomogram; radiology[SDGs]SDG3journal article10.1002/jhbp.962338114602-s2.0-85104522843https://scholars.lib.ntu.edu.tw/handle/123456789/561699