ArticleCancer biomarkers : section A of Disease markers2025
A computed tomography-based score indicative of lung cancer aggression (SILA) predicts lung adenocarcinomas with low malignant potential or vascular invasion.
Article in Cancer biomarkers : section A of Disease markers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- A radiomics-based machine learning model for the preoperative differentiation of lung adenocarcinoma subtypes.Quantitative imaging in medicine and surgery · 2026Article
- Vascular invasion-associated gene expression is detectable in pre-surgical biopsies of stage I lung adenocarcinoma.Nature communications · 2026Article
- Radiomics to understand pre-treatment tumor biology for resectable non-small cell lung cancer.Frontiers in oncology · 2026Review
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Authors and funding
9 authors.
Funding
Abstract
BackgroundHistologic grading of lung adenocarcinoma (LUAD) is predictive of outcome but is only possible after surgical resection. A radiomic biomarker predictive of grade has the potential to improve preoperative management of early-stage LUAD.ObjectiveValidate a prognostic radiomic score indicative of lung cancer aggression (SILA) in surgically resected stage I LUAD (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.