To develop a classification system which helps differentiate cystic intraductal papillary neoplasm of the bile duct from mucinous cystic neoplasm of the liver

被引:0
作者
Xiao, Si-Yu [1 ]
Shi, Yu-Ting [3 ]
Xu, Jian-Xia [2 ]
Sun, Ji-Hong [3 ]
Yu, Ri-Sheng [1 ]
机构
[1] Zhejiang Univ, Affiliated Hosp 2, Sch Med, Dept Radiol, Hangzhou, Peoples R China
[2] Zhejiang Chinese Med Univ, Affiliated Hosp 2, Dept Radiol, Hangzhou, Peoples R China
[3] Zhejiang Univ, Sir Run Run Shaw Hosp, Sch Med, Dept Radiol, Hangzhou, Peoples R China
关键词
Mucinous cystic neoplasm; Papillary neoplasm; Liver; Bile duct; TUMORS; CYSTADENOMA; FEATURES;
D O I
10.1016/j.ejrad.2024.111822
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Objective: To establish a classification system which differentiates cystic intraductal papillary neoplasm of the bile duct (cystic IPNB) from hepatic mucinous cystic tumors (MCN) based on their radiological difference. Methods: A total of 75 patients pathologically diagnosed as MCN and IPNB in two major hospitals from 2015 to 2024 were enrolled. Radiological features were recorded and compared between these two tumors. Variables with significant differences were included in multivariate logistic regression (LR) analysis. A decision model was built and simplified based on importance ranking of variables. K-nearest-neighbor (KNN) model was introduced to learn distribution of individuals in main dimensions based on multiple correspondence analysis (MCA) and predicted diagnosis. The diagnostic efficacy of the classification system and the KNN model was compared. Results: Significant differences existed in Dmax-IVC angle, septation, mural nodule, upstream and downstream biliary dilatation, communication with bile duct between MCN and cystic IPNB. Downstream biliary dilatation and communication with bile duct were highly specific for IPNB (specificity, 97.9 % and 100 %, respectively), which could independently diagnose IPNB. Among four significant indicators in LR analysis, upstream biliary dilatation and Dmax-IVC angle were used for a simplified decision model to attain good applicability. The KNN model based on MCA data achieved highest accuracy (0.910) when K = 11. Overall, the classification system achieved an AUC of 0.882 (0.95CI: 0.797-0.966), compared with 0.911 (0.95CI: 0.818-1.000) in the KNN model, which demonstrated no significant difference (p = 0.655) in differential performance. Conclusion: The classification system combining four important indicators had equivalent performance to KNN model in discrimination, which was simple and applicable for clinical practice, and also accessible on unenhanced examinations.
引用
收藏
页数:9
相关论文
共 21 条
[1]   Uncommon Intraluminal Tumors of the Gallbladder and Biliary Tract: Spectrum of Imaging Appearances [J].
Chatterjee, Argha ;
Vendrami, Camila Lopes ;
Nikolaidis, Paul ;
Mittal, Pardeep K. ;
Bandy, Andrew J. ;
Menias, Christine O. ;
Hammond, Nancy A. ;
Yaghmai, Vahid ;
Yang, Guang-Yu ;
Miller, Frank H. .
RADIOGRAPHICS, 2019, 39 (02) :388-412
[2]   Differential Diagnosis for Intrahepatic Biliary Cystadenoma and Hepatic Simple Cyst Significance of Cystic Fluid Analysis and Radiologic Findings [J].
Choi, Hyo Kyung ;
Lee, Jong Kyun ;
Lee, Kwang Hyuck ;
Lee, Kyu Taek ;
Rhee, Jong Chul ;
Kim, Kap Hyun ;
Jang, Kee-Taek ;
Kim, Seong Hyun ;
Park, Yulri .
JOURNAL OF CLINICAL GASTROENTEROLOGY, 2010, 44 (04) :289-293
[3]   HEPATOBILIARY CYSTADENOMA AND CYSTADENOCARCINOMA - A LIGHT-MICROSCOPIC AND IMMUNOHISTOCHEMICAL STUDY OF 70 PATIENTS [J].
DEVANEY, K ;
GOODMAN, ZD ;
ISHAK, KG .
AMERICAN JOURNAL OF SURGICAL PATHOLOGY, 1994, 18 (11) :1078-1091
[4]   Clinicopathological features and management of biliary cystic tumors of the liver: a single-center experience [J].
El-Magd, El-Sayed Abou ;
El-Shobari, Mohamed ;
Abdelsalam, Ramy A. ;
Abbas, Amr ;
Elmahdy, Youssif ;
Hamed, Hosam .
LANGENBECKS ARCHIVES OF SURGERY, 2023, 408 (01)
[5]   Multi-Center Follow-up Study to Develop a Classification System Which Differentiates Mucinous Cystic Neoplasm of the Liver and Benign Hepatic Cyst Using Machine Learning [J].
Hardie, Andrew D. ;
Chamberlin, Jordan H. ;
Boyum, James H. ;
Sharbidre, Kedar G. ;
Petrocelli, Robert ;
Flemming, Brian P. ;
Zahid, Mohd ;
Venkatesh, Sudhakar K. ;
Mruthyunjayappa, Smitha ;
Hajdu, Cristina H. ;
Kovacs, Mark D. .
ACADEMIC RADIOLOGY, 2022, 29 (08) :1149-1156
[6]  
Hokuto D, 2017, INT J SURG CASE REP, V38, P166, DOI 10.1016/j.ijscr.2017.07.031
[7]   CT Differentiation of Mucin-Producing Cystic Neoplasms of the Liver From Solitary Bile Duct Cysts [J].
Kim, Hyoung Jung ;
Yu, Eun Sil ;
Byun, Jae Ho ;
Hong, Seung-Mo ;
Kim, Kyoung Won ;
Lee, Jong Seok ;
Kim, So Yeon .
AMERICAN JOURNAL OF ROENTGENOLOGY, 2014, 202 (01) :83-91
[8]   Clinicopathological characteristics of intraductal papillary neoplasm of the bile duct: a Japan-Korea collaborative study [J].
Kubota, Keiichi ;
Jang, Jin-Young ;
Nakanuma, Yasuni ;
Jang, Kee-Taek ;
Haruyama, Yasuo ;
Fukushima, Noriyoshi ;
Furukawa, Toru ;
Hong, Seung-Mo ;
Sakuraoka, Yuhki ;
Kim, Haeryoung ;
Matsumoto, Takatsugu ;
Lee, Kyung Bun ;
Zen, Yoh ;
Kim, Jaeri ;
Miyazaki, Masaru ;
Choi, Dong Wook ;
Heo, Jin Seok ;
Endo, Itaru ;
Hwang, Shin ;
Nakamura, Masafumi ;
Han, Ho-Seong ;
Uemoto, Shinji ;
Park, Sang Jae ;
Hong, Eun Kyung ;
Nanashima, Atsushi ;
Kim, Dong-Sik ;
Kim, Joo Young ;
Ohta, Tetsuo ;
Kang, Koo Jeong ;
Fukumoto, Takumi ;
Nah, Yang Won ;
Seo, Hyung Il ;
Inui, Kazuo ;
Yoon, Dong-Sup ;
Unno, Michiaki .
JOURNAL OF HEPATO-BILIARY-PANCREATIC SCIENCES, 2020, 27 (09) :581-597
[9]   Clinicopathological features and prognosis of mucin-producing bile duct tumor and mucinous cystic tumor of the liver: a multi-institutional study by the Japan Biliary Association [J].
Kubota, Keiichi ;
Nakanuma, Yasuni ;
Kondo, Fukuo ;
Hachiya, Hiroyuki ;
Miyazaki, Masaru ;
Nagino, Masato ;
Yamamoto, Masakazu ;
Isayama, Hiroyuki ;
Tabata, Masami ;
Kinoshita, Hisafumi ;
Kamisawa, Terumi ;
Inui, Kazuo .
JOURNAL OF HEPATO-BILIARY-PANCREATIC SCIENCES, 2014, 21 (03) :176-185
[10]   Mucin-producing Cystic Hepatobiliary Neoplasms: Updated Nomenclature and Clinical, Pathologic, and Imaging Features [J].
Lee, Matthew H. ;
Katabathina, Venkata S. ;
Lubner, Meghan G. ;
Shah, Hardik U. ;
Prasad, Srinivasa R. ;
Matkowskyj, Kristina A. ;
Pickhardt, Perry J. .
RADIOGRAPHICS, 2021, 41 (06) :1592-1610