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Radiomics model versus 2017 revised international consensus guidelines for predicting malignant intraductal papillary mucinous neoplasms

Authors
 Doo Young Lee  ;  Jaeseung Shin  ;  Sungwon Kim  ;  Song-Ee Baek  ;  Suji Lee  ;  Nak-Hoon Son  ;  Mi-Suk Park 
Citation
 EUROPEAN RADIOLOGY, Vol.34(2) : 1222-1231, 2024-02 
Journal Title
EUROPEAN RADIOLOGY
ISSN
 0938-7994 
Issue Date
2024-02
MeSH
Aged ; Carcinoma, Pancreatic Ductal* / diagnosis ; Humans ; Male ; Middle Aged ; Neoplasms, Cystic, Mucinous, and Serous* ; Pancreatic Intraductal Neoplasms* ; Pancreatic Neoplasms* / diagnosis ; Radiomics ; Retrospective Studies
Keywords
Computed tomography ; Diagnosis ; Magnetic resonance imaging ; Pancreatic cyst ; Pancreatic neopla는
Abstract
Objectives: To evaluate a CT-based radiomics model for identifying malignant pancreatic intraductal papillary mucinous neoplasms (IPMNs) and compare its performance with the 2017 international consensus guidelines (ICGs).

Materials and methods: We retrospectively included 194 consecutive patients who underwent surgical resection of pancreatic IPMNs between January 2008 and December 2020. Surgical histopathology was the reference standard for diagnosing malignancy. Using radiomics features from preoperative contrast-enhanced CT, a radiomics model was built with the least absolute shrinkage and selection operator by a five-fold cross-validation. CT and MR images were independently reviewed based on the 2017 ICGs by two abdominal radiologists, and the performances of the 2017 ICGs and radiomics model were compared. The areas under the curve (AUCs) were compared using the DeLong method.

Results: A total of 194 patients with pancreatic IPMNs (benign, 83 [43%]; malignant, 111 [57%]) were chronologically divided into training (n = 141; age, 65 ± 8.6 years; 88 males) and validation sets (n = 53; age, 66 ± 9.7 years; 31 males). There was no statistically significant difference in the diagnostic performance of the 2017 ICGs between CT and MRI (AUC, 0.71 vs. 0.71; p = 0.93) with excellent intermodality agreement (k = 0.86). In the validation set, the CT radiomics model had higher AUC (0.85 vs. 0.71; p = 0.038), specificity (84.6% vs. 61.5%; p = 0.041), and positive predictive value (84.0% vs. 66.7%; p = 0.044) than the 2017 ICGs.

Conclusion: The CT radiomics model exhibited better diagnostic performance than the 2017 ICGs in classifying malignant IPMNs.

Clinical relevance statement: Compared with the radiologists' evaluation based on the 2017 international consensus guidelines, the CT radiomics model exhibited better diagnostic performance in classifying malignant intraductal papillary mucinous neoplasms.

Key points: • There is a paucity of comparisons between the 2017 international consensus guidelines (ICGs) and radiomics models for malignant intraductal papillary mucinous neoplasms (IPMNs). • The CT radiomics model developed in this study exhibited better diagnostic performance than the 2017 ICGs in classifying malignant IPMNs. • The radiomics model may serve as a valuable complementary tool to the 2017 ICGs, potentially allowing a more quantitative assessment of IPMNs.
Full Text
https://link.springer.com/article/10.1007/s00330-023-10158-5
DOI
10.1007/s00330-023-10158-5
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
Yonsei Authors
Kim, Sungwon(김성원)
Park, Mi-Suk(박미숙) ORCID logo https://orcid.org/0000-0001-5817-2444
Baek, Song Ee(백송이) ORCID logo https://orcid.org/0000-0001-8146-2570
Lee, Suji(이수지) ORCID logo https://orcid.org/0000-0002-8770-622X
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/204234
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