A computed tomography-based score indicative of lung cancer aggression (SILA) predicts lung adenocarcinomas with low malignant potential or vascular invasion
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View abstract on PubMed
Summary
This summary is machine-generated.A new radiomic score (SILA) from CT scans predicts lung adenocarcinoma grade before surgery. This non-invasive tool shows prognostic value, improving patient management for early-stage lung cancer.
Area Of Science
- Radiology
- Oncology
- Medical Imaging
Background
- Histologic grading of lung adenocarcinoma (LUAD) is crucial for prognosis but requires surgical resection.
- A preoperative radiomic biomarker could enhance management of early-stage LUAD.
Purpose Of The Study
- Validate a prognostic radiomic score (SILA) for predicting lung cancer aggression.
- Assess SILA's ability to differentiate indolent (LMP), intermediate, and aggressive (VI) subtypes in stage I LUAD.
Main Methods
- SILA scores derived from preoperative CT scans using CANARY software.
- Validation in 161 surgically resected stage I LUAD cases.
Main Results
- SILA significantly associated with 7-year recurrence-free survival (RFS) in univariate and multivariate analyses.
- SILA correlated with invasive size and inversely with lepidic histology percentage.
- SILA predicted indolent LMP (AUC 0.74) and aggressive VI (AUC 0.71).
Conclusions
- Preoperative CT-based SILA scoring is prognostic for resected lung adenocarcinoma.
- SILA effectively predicts histologic tumor grade, aiding in preoperative decision-making.
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