AI Article Synopsis
- Hepatocellular carcinoma (HCC) is a common cancer, and researchers developed a predictive model for early tumor recurrence using radiomic features from the area around the tumor.
- The model was based on data from 175 patients, using imaging techniques to analyze features within a 5-mm peritumoral area, achieving promising predictive performance scores (AUC of 0.706 for validation and 0.837 for training).
- Findings suggest that these radiomic features can serve as a non-invasive biomarker for predicting early recurrence of HCC, potentially leading to more personalized treatment approaches.
Article Abstract
Background: Hepatocellular carcinoma (HCC) is the sixth leading type of cancer worldwide. We aimed to develop a preoperative predictive model of the risk of early tumor recurrence after HCC treatment based on radiomic features of the peritumoral region and evaluate the performance of this model against postoperative pathology.
Method: Our model was developed using a retrospective analysis of imaging and clinicopathological data of 175 patients with an isolated HCC ≤5 cm in diameter; 117 patients were used for model training and 58 for model validation. The peritumoral area was delineated layer-by-layer for the arterial and portal vein phase on preoperative dynamic enhanced computed tomography images. The volume area of interest was expanded by 5 and 10 mm and the radiomic features of these areas extracted. Lasso was used to select the most stable features.
Results: The radiomic features of the 5-mm area were sufficient for prediction of early tumor recurrence, with an area under the curve (AUC) value of 0.706 for the validation set and 0.837 for the training set using combined images. The AUC of the model using clinicopathological information alone was 0.753 compared with 0.786 for the preoperative radiomics model (P >0.05).
Conclusions: Radiomic features of a 5-mm peritumoral region may provide a non-invasive biomarker for the preoperative prediction of the risk of early tumor recurrence for patients with a solitary HCC ≤5 cm in diameter. A fusion model that combines the radiomic features of the peritumoral region and postoperative pathology could contribute to individualized treatment of HCC.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9650218 | PMC |
| http://dx.doi.org/10.3389/fonc.2022.1032115 | DOI Listing |
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