biostudies-literatureLuo DChina-Japan Friendship Hospital437https://www.ebi.ac.uk/biostudies/studies/S-EPMC12495665biostudies-literatureUnknown25(1)<h4>Background</h4>Accurate preoperative identification of high-risk pathological features in early-stage lung adenocarcinoma is critical for guiding surgical decisions and improving patient outcomes. This study aimed to develop and validate a nomogram to predict high-risk pathology in clinical stage IA lung adenocarcinoma located in the left upper lobe (LUL), an anatomical site with distinct surgical implications.<h4>Methods</h4>We retrospectively reviewed 545 patients with clinical stage IA LUL adenocarcinoma who underwent surgery between January 2018 and May 2022. The cohort was randomly divided into training (80%) and validation (20%) sets. Independent predictors were identified via multivariate logistic regression and further validated using LASSO regression. A nomogram was constructeBMC surgeryDevelopment and validation of a nomogram for predicting high-risk pathology in clinical stage lA left upper lobe lung adenocarcinoma.PMC12495665ZRJY2023-QM34Liang CFeng HYu QSu KHan YZhu WLuo DfalseDevelopment and validation of a nomogram for predicting high-risk pathology in clinical stage lA left upper lobe lung adenocarcinoma.<h4>Background</h4>Accurate preoperative identification of high-risk pathological features in early-stage lung adenocarcinoma is critical for guiding surgical decisions and improving patient outcomes. This study aimed to develop and validate a nomogram to predict high-risk pathology in clinical stage IA lung adenocarcinoma located in the left upper lobe (LUL), an anatomical site with distinct surgical implications.<h4>Methods</h4>We retrospectively reviewed 545 patients with clinical stage IA LUL adenocarcinoma who underwent surgery between January 2018 and May 2022. The cohort was randomly divided into training (80%) and validation (20%) sets. Independent predictors were identified via multivariate logistic regression and further validated using LASSO regression. A nomogram was constructe2025-01-01T00:00:00Z2025 Oct2026-06-06T13:38:36.518Z2026-05-31T03:08:07.016ZS-EPMC124956654104450310.1186/s12893-025-03149-4