Preoperative scoring system for predicting microvascular invasion in intrahepatic cholangiocarcinoma using gadoxetate-enhanced MRI
- Rohee Park 1, Dong Hwan Kim 2, Sang Hyun Choi 3, Jeewuan Kim 4, Seung Soo Lee 1, Jae Ho Byun 1, Hyung Jin Won 1, Yong Moon Shin 1
- Rohee Park 1, Dong Hwan Kim 2, Sang Hyun Choi 3
- 1Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
- 2Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea. kimdh@amc.seoul.kr.
- 3Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea. edwardchoi83@gmail.com.
- 4Department of Cancer AI & Digital Health, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Republic of Korea.
- 0Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
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View abstract on PubMed
Summary
This summary is machine-generated.A new risk scoring system using gadoxetate-enhanced MRI can predict microvascular invasion (MVI) in intrahepatic cholangiocarcinoma (ICCA). This tool identifies patients with poorer survival outcomes, aiding personalized treatment strategies.
Area Of Science
- Hepatobiliary imaging
- Oncologic imaging
- Radiology
Background
- Microvascular invasion (MVI) is a critical prognostic factor in intrahepatic cholangiocarcinoma (ICCA).
- Preoperative prediction of MVI using gadoxetate-enhanced MRI has not been well-established.
- Accurate MVI assessment is crucial for surgical planning and patient management.
Purpose Of The Study
- To develop and validate a preoperative risk scoring system for predicting MVI in ICCA.
- To integrate clinical and gadoxetate-enhanced MRI features into the scoring system.
- To assess the correlation between MVI risk and patient survival outcomes.
Main Methods
- Retrospective analysis of 197 ICCA patients who underwent preoperative gadoxetate-enhanced MRI and curative resection.
- Random division of patients into development (n=139) and validation (n=58) cohorts.
- Development of a risk scoring system using multivariable logistic regression based on MRI features (tumor multiplicity, arterial-phase peritumoral enhancement, hepatobiliary-phase peritumoral hypointensity).
Main Results
- The developed risk scoring system demonstrated strong diagnostic performance (AUC 0.80 in development, 0.84 in validation).
- Key MRI predictors for MVI included tumor multiplicity, arterial-phase peritumoral enhancement, and hepatobiliary-phase peritumoral hypointensity.
- High MVI risk was significantly associated with shorter recurrence-free survival (RFS) and overall survival (OS) in both cohorts.
Conclusions
- The novel risk scoring system effectively predicts MVI in ICCA using gadoxetate-enhanced MRI.
- This tool facilitates preoperative identification of ICCA patients at high risk for MVI and poorer prognosis.
- The scoring system offers valuable prognostic insights to guide personalized treatment strategies and improve patient outcomes.
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