A computed tomography-based score indicative of lung cancer aggression (SILA) predicts lung adenocarcinomas with low malignant potential or vascular invasion.

Autor:	Steiner D; Department of Medicine, Section of Computational Biomedicine, Boston University Chobanian and Avedisian School of Medicine, Boston, USA., Park JA; Thoracic Surgery, Inova Schar Cancer Institute, Fairfax, VA, USA., Singh S; Department of Radiology, Boston University Chobanian and Avedisian School of Medicine, Boston, USA., Potter A; Department of Medicine, Section of Computational Biomedicine, Boston University Chobanian and Avedisian School of Medicine, Boston, USA., Scalera J; Department of Radiology, Boston University Chobanian and Avedisian School of Medicine, Boston, USA., Beane J; Department of Medicine, Section of Computational Biomedicine, Boston University Chobanian and Avedisian School of Medicine, Boston, USA., Suzuki K; Thoracic Surgery, Inova Schar Cancer Institute, Fairfax, VA, USA., Lenburg ME; Department of Medicine, Section of Computational Biomedicine, Boston University Chobanian and Avedisian School of Medicine, Boston, USA.; Department of Pathology, Boston University Chobanian and Avedisian School of Medicine, Boston, USA.; Department of Medicine, Section of Computational Biomedicine, Boston University Chobanian and Avedisian School of Medicine, Boston, USA., Burks EJ; Department of Pathology, Boston University Chobanian and Avedisian School of Medicine, Boston, USA.; Department of Medicine, Section of Computational Biomedicine, Boston University Chobanian and Avedisian School of Medicine, Boston, USA.
Jazyk:	angličtina
Zdroj:	Cancer biomarkers : section A of Disease markers [Cancer Biomark] 2024 May 22. Date of Electronic Publication: 2024 May 22.
DOI:	10.3233/CBM-230456
Abstrakt:	Background: Histologic 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. Objective: Validate a prognostic radiomic score indicative of lung cancer aggression (SILA) in surgically resected stage I LUAD (n= 161) histologically graded as indolent low malignant potential (LMP), intermediate, or aggressive vascular invasive (VI) subtypes. Methods: The SILA scores were generated from preoperative CT-scans using the previously validated Computer-Aided Nodule Assessment and Risk Yield (CANARY) software. Results: Cox proportional regression showed significant association between the SILA and 7-year recurrence-free survival (RFS) in a univariate (p< 0.05) and multivariate (p< 0.05) model incorporating age, gender, smoking status, pack years, and extent of resection. The SILA was positively correlated with invasive size (spearman r= 0.54, p= 8.0 × 10 - 14) and negatively correlated with percentage of lepidic histology (spearman r=-0.46, p= 7.1 × 10 - 10). The SILA predicted indolent LMP with an area under the receiver operating characteristic (ROC) curve (AUC) of 0.74 and aggressive VI with an AUC of 0.71, the latter remaining significant when invasive size was included as a covariate in a logistic regression model (p< 0.01). Conclusions: The SILA scoring of preoperative CT scans was prognostic and predictive of resected pathologic grade.
Databáze:	MEDLINE
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