Clinical Report: A Habitat-Based APTw MRI Approach for Predicting BRAF Mutation Status
Overview
This study evaluates a novel habitat-based APTw MRI method for predicting BRAF mutation status in rectal cancer (RC) patients.
Background
Rectal cancer is a prevalent malignancy with significant mortality rates, necessitating effective prognostic tools. BRAF mutations, particularly the V600E variant, are associated with aggressive disease and poor prognosis. Accurate preoperative assessment of BRAF status is crucial for personalized treatment strategies, especially in advanced cases where traditional testing methods may be challenging.
Data Highlights
Model
AUC
95% CI
Habitat-based APTw model
0.733
—
Habitat-based ADC model
0.71
—
Clinical factors model
0.661
—
Habitat-based APTw+ADC combined model
0.83
0.707-0.952
Key Findings
The K-means model with K = 7 provided optimal predictive power for BRAF mutation status.
Significant differences in APT/ADC histogram features were observed between mutant and wild-type groups.
The nomogram integrating APTw/ADC features and clinical factors achieved an AUC of 0.83.
Patients in the mutant group had significantly worse 2-year disease-free survival compared to the wild-type group.
Conventional BRAF testing is often limited in advanced rectal cancer cases, highlighting the need for noninvasive methods.
Clinical Implications
The habitat-based APTw MRI approach may facilitate noninvasive preoperative assessment of BRAF mutation status.
Conclusion
The study demonstrates that habitat-based APT/ADC histogram features can effectively predict BRAF mutation status and disease-free survival in rectal cancer, supporting the need for further validation in clinical practice.
