Multimodal integration to identify the invasion status of lung adenocarcinoma intraoperatively
Evaluating the invasiveness of lung adenocarcinoma is crucial for determining the appropriate surgical strategy, impacting postoperative outcomes. This study developed a multimodality model combining radiomics, intraoperative frozen section (FS) pathology, and clinical indicators to predict invasion status. The study enrolled 1,424 patients from two hospitals, divided into multimodal training, radiology testing, and pathology testing cohorts. A prospective validation cohort of 114 patients was selected between March and May 2023. The radiomics + pathology + clinical indicators multimodality model (multi-RPC model) achieved an area under the curve (AUC) of 0.921 (95% confidence interval [CI] 0.899-0.939) in the multimodal training cohort and 0.939 (95% CI 0.878-0.975) in the validation cohort, outperforming single- and dual-modality models. The multi-RPC model's predictive accuracy of 0.860 (95% CI 0.782-0.918) suggests that it could significantly reduce inappropriate surgical procedures, enhancing precision oncology by integrating multimodal information to guide surgical decisions.
Authors
- Shan Tian (ORCID: https://orcid.org/0000-0002-0782-3427)
- Jinrong Min (ORCID: https://orcid.org/0000-0001-5210-3130)
- Yang Jin (ORCID: https://orcid.org/0000-0003-2409-7073)
- Hui Xia (ORCID: https://orcid.org/0000-0001-7481-673X)
- Yan Li (ORCID: https://orcid.org/0000-0002-3966-1610)
- Sufei Wang (ORCID: https://orcid.org/0009-0008-9329-6010)
- Na Zhan (ORCID: https://orcid.org/0000-0002-9043-2768)
- Guanghai Yang
- Feng Pan (ORCID: https://orcid.org/0000-0003-2950-8222)
- Zegang Dong
- Zhilei Lv
- Bo Huang (ORCID: https://orcid.org/0000-0002-3228-7662)
- Qi Huang (ORCID: https://orcid.org/0000-0001-6726-6434)
- Yanran Duan
- Mengmeng Zhou
- Xueyun Tan
- Lian Yang
- Yaqi Cao
- Liang Zhang (ORCID: https://orcid.org/0000-0002-5220-4748)
Institutions
- Union Hospital (HK)
- Wuhan University (CN)
- Wuhan Science and Technology Bureau (CN)
- Wuhan Union Hospital (CN)
- Renmin Hospital of Wuhan University (CN)
- Union Hospital (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- iScience
- Published
- 2024-11-19
- DOI
- https://doi.org/10.1016/j.isci.2024.111421
- Citations
- 4
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.68
Funders
- Health Commission of Hubei Province
- National Natural Science Foundation of China
- Natural Science Foundation of Hubei Province
- National Science and Technology Major Project