Early evaluation using a radiomic signature of unresectable hepatic metastases to predict outcome in patients with colorectal cancer treated with FOLFIRI and bevacizumab
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View abstract on PubMed
Summary
This summary is machine-generated.A new radiomic signature, the SPECTRA Score, effectively predicts overall survival in metastatic colorectal cancer patients treated with FOLFIRI and bevacizumab. This tool offers earlier and more accurate outcome prediction than standard RECIST criteria.
Area Of Science
- Radiology and Imaging
- Oncology
- Medical Statistics
Background
- Metastatic colorectal cancer (mCRC) patients treated with FOLFIRI and bevacizumab require accurate early outcome prediction.
- Standard criteria like RECIST 1.1 and morphological assessment have limitations in early prediction.
Purpose Of The Study
- To develop and validate a radiomic signature for predicting early poor outcomes in mCRC patients.
- To compare the predictive performance of this radiomic signature against RECIST 1.1 and morphological criteria.
Main Methods
- An ancillary study of the PRODIGE-9 multicentre trial analyzed 230 mCRC patients.
- Computed texture analysis of the dominant liver lesion (DLL) was performed at baseline and 2 months.
- A radiomic signature (SPECTRA Score) was built using multivariable Cox analysis and validated in independent cohorts.
Main Results
- The SPECTRA Score, combining decreased sum of target liver lesions, decreased kurtosis, and high baseline DLL density, predicted overall survival (OS).
- Patients with a SPECTRA Score >0.02 had significantly lower OS across training, validation, and external cohorts.
- The SPECTRA Score at 2 months showed prognostic value comparable to RECIST at 6 months.
Conclusions
- A radiomic signature (SPECTRA Score) effectively predicts OS and identifies responders better than RECIST 1.1 in first-line mCRC treatment.
- This radiomic tool shows promise for early outcome prediction in mCRC patients.
- Further prospective studies are recommended for validation of the SPECTRA Score.
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