The Value of LI-RADS and Radiomic Features from MRI for Predicting Microvascular Invasion in Hepatocellular Carcinoma within 5 cm.
Acad Radiol
; 31(6): 2381-2390, 2024 Jun.
Article
en En
| MEDLINE
| ID: mdl-38199902
ABSTRACT
RATIONALE AND OBJECTIVES:
To explore and compare the performance of LI-RADS® and radiomics from multiparametric MRI in predicting microvascular invasion (MVI) preoperatively in patients with solitary hepatocellular carcinoma (HCC)< 5 cm.METHODS:
We enrolled 143 patients with pathologically proven HCC and randomly stratified them into training (n = 100) and internal validation (n = 43) cohorts. Besides, 53 patients were enrolled to constitute an independent test cohort. Clinical factors and imaging features, including LI-RADS and three other features (non-smooth margin, incomplete capsule, and two-trait predictor of venous invasion), were reviewed and analyzed. Radiomic features from four MRI sequences were extracted. The independent clinic-imaging (clinical) and radiomics model for MVI-prediction were constructed by logistic regression and AdaBoost respectively. And the clinic-radiomics combined model was further constructed by logistic regression. We assessed the model discrimination, calibration, and clinical usefulness by using the area under the receiver operating characteristic curve (AUC), calibration curve, and decision-curve analysis respectively.RESULTS:
Incomplete tumor capsule, corona enhancement, and radiomic features were related to MVI in solitary HCCï¼5 cm. The clinical model achieved AUC of 0.694/0.661 (training/internal validation). The single-sequence-based radiomic model's AUCs were 0.753-0.843/0.698-0.767 (training/internal validation). The combination model exhibited superior diagnostic performance to the clinical model (AUC 0.895/0.848 [training/ internal validation]) and yielded an AUC of 0.858 in an independent test cohort.CONCLUSION:
Incomplete tumor capsule and corona enhancement on preoperative MRI were significantly related to MVI in solitary HCCï¼5 cm. Multiple-sequence radiomic features potentially improve MVI-prediction-model performance, which could potentially help determining HCC's appropriate therapy.Palabras clave
Texto completo:
1
Colección:
01-internacional
Asunto principal:
Imagen por Resonancia Magnética
/
Carcinoma Hepatocelular
/
Microvasos
/
Neoplasias Hepáticas
/
Invasividad Neoplásica
Tipo de estudio:
Prognostic_studies
/
Risk_factors_studies
Límite:
Adult
/
Aged
/
Female
/
Humans
/
Male
/
Middle aged
Idioma:
En
Revista:
Acad Radiol
Asunto de la revista:
RADIOLOGIA
Año:
2024
Tipo del documento:
Article