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MRI radiomics model differentiates small hepatic metastases and abscesses in periampullary cancer patients

Authors
 Jae Hyon Park  ;  Eun-Suk Cho  ;  Jongjin Yoon  ;  Hyung-Jin Rhee  ;  June Park  ;  Jin-Young Choi  ;  Yong Eun Chung 
Citation
 SCIENTIFIC REPORTS, Vol.14(1) : 23541, 2024-10 
Journal Title
SCIENTIFIC REPORTS
Issue Date
2024-10
MeSH
Aged ; Aged, 80 and over ; Ampulla of Vater / diagnostic imaging ; Ampulla of Vater / pathology ; Diagnosis, Differential ; Female ; Humans ; Liver Abscess / diagnostic imaging ; Liver Abscess / pathology ; Liver Neoplasms* / diagnostic imaging ; Liver Neoplasms* / secondary ; Magnetic Resonance Imaging* / methods ; Male ; Middle Aged ; Radiomics ; Retrospective Studies
Keywords
Decision support techniques ; Liver ; Liver abscess ; Magnetic resonance imaging ; Neoplasm metastasis
Abstract
This multi-center, retrospective study focused on periampullary cancer patients undergoing MRI for hepatic metastasis and abscess differentiation. T1-weighted, T2-weighted, and arterial phase images were utilized to create radiomics models. In the training-set, 112 lesions in 54 patients (median age [IQR, interquartile range], 73 [63-80]; 38 men) were analyzed, and 123 lesions in 55 patients (72 [66-78]; 34 men) comprised the validation set. The T1-weighted + T2-weighted radiomics model showed the highest AUC (0.82, 95% CI 0.75-0.89) in the validation set. Notably, < 30% T1-T2 size discrepancy in MRI findings predicted metastasis (Ps ≤ 0.037), albeit with AUCs of 0.64-0.68 for hepatic metastasis. The radiomics model enhanced radiologists' performance (AUCs, 0.85-0.87 vs. 0.80-0.84) and significantly increased diagnostic confidence (P < 0.001). Although the performance increase lacked statistical significance (P = 0.104-0.281), the radiomics model proved valuable in differentiating small hepatic lesions and enhancing diagnostic confidence. This study highlights the potential of MRI-based radiomics in improving accuracy and confidence in the diagnosis of periampullary cancer-related hepatic lesions.
Files in This Item:
T202406131.pdf Download
DOI
10.1038/s41598-024-74311-w
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
Yonsei Authors
Rhee, Hyungjin(이형진) ORCID logo https://orcid.org/0000-0001-7759-4458
Chung, Yong Eun(정용은) ORCID logo https://orcid.org/0000-0003-0811-9578
Cho, Eun Suk(조은석)
Choi, Jin Young(최진영) ORCID logo https://orcid.org/0000-0002-9025-6274
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/200935
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