Evidence map›Paper›PMID 41602171›Full record

ArticleCHEST pulmonary2025

Long-Term Prognosis of Resected Stage 1 Lung Adenocarcinoma With Radiomics, Regionality, and Histopathologic Correlation.

Abdelmohaymin Abdalla, Srinivasan Rajagopalan, Tobias Peikert, Jennifer M Boland, Nan Zhang, Brain Bartholmai, Cyril Varghese

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Article in CHEST pulmonary, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Abdelmohaymin AbdallaDivision of Pulmonary and Department of Critical Care Medicine, Mayo Clinic, Phoenix, AZ.
Srinivasan RajagopalanDepartment of Radiology, Mayo Clinic, Rochester, MN.
Tobias PeikertDivision of Pulmonary Medicine, Mayo Clinic, Rochester, MN.
Jennifer M BolandDivision of Anatomic Pathology, Mayo Clinic, Rochester, MN.
Nan ZhangDepartment of Qualitative Health Sciences, Mayo Clinic, Phoenix, AZ.
Brain BartholmaiDepartment of Radiology, Mayo Clinic, Rochester, MN.
Cyril VargheseDepartment of Qualitative Health Sciences, Mayo Clinic, Phoenix, AZ.

Funding

Institutional Career Development CoreKL2TR002379 · NCATS · MAYO CLINIC ROCHESTER · PI NILUFER ERTEKIN-TANER · 2017 to 2026
$14.9M
NCATS NIH HHS KL2 TR002379
6 · The paper itself

Abstract

backgroundThe discovery of adenocarcinoma (AC) spectrum nodules often leads to a pathway of ongoing radiologic observation, tissue biopsy, ablative therapies, or surgical excision. This complex decision-making process may be aided by machine learning. The Score Indicative of Lung Cancer Aggression was developed and validated as an evolution of previously developed radiomics models to predict the degree of histologic tumor invasion in AC and to predict patient survival. We now investigate if radiomics classification can help predict long-term outcomes after stage I AC resection. Secondarily, we explore if the geographic location of stage 1 AC nodules correlates with local invasion or long-term outcomes. RESEARCH QUESTION: Can radiomics predict long-term outcomes in stage 1 lung adenocarcinoma after curative surgical resection? STUDY DESIGN AND

methodsA total of 196 patients with early stage AC who underwent curative surgical resection were studied over a follow-up median period of 12 years. Kaplan-Meier analysis of disease-free survival was performed on patients whose index nodule was categorized by radiomics. Local invasion of tumor was analyzed using radiomics and histopathologic assessment. The correlation of these metrics relating to the nodule's geographic location was explored. Finally, disease-free survival analysis based on the location of the index nodule was performed.

resultsPatients whose stage I AC nodules were classified as poor before resection by our radiomics tool had worse long-term prognosis (> 5 years) than those classified as intermediate or good. AC nodules in lower lung regions were proportionately more invasive than nodules in the upper lung regions, both based on radiomics and histopathologic review. However, that did not translate to a disease-free survival advantage for upper lobe nodules that were resected.

interpretationOur results indicate that radiomics helps prognosticate long-term outcomes in patients with resected stage I AC. Furthermore, histopathologic invasion detected by radiomics seems to vary depending on geographic location of the nodule in the lung.

Indexed as

adenocarcinomaartificial intelligenceCTprognosisradiomics

Identifiers

PMID41602171
PMCPMC12834554

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