Radiomics with Artificial Intelligence for the Prediction of Early Recurrence in Patients with Clinical Stage IA Lung Cancer
Author:
Funder
Fujifilm Corporation
Publisher
Springer Science and Business Media LLC
Subject
Oncology,Surgery
Link
https://link.springer.com/content/pdf/10.1245/s10434-022-12516-x.pdf
Reference22 articles.
1. Asamura H, Nakayama H, Kondo H, et al. Lymph node involvement, recurrence, and prognosis in resected small, peripheral, non-small-cell lung carcinomas: are these carcinomas candidates for video-assisted lobectomy? J Thorac Cardiovasc Surg. 1996;111:1125–34.
2. Cho S, Song IH, Yang HC, et al. Predictive factors for node metastasis in patients with clinical stage I non-small cell lung cancer. Ann Thorac Surg. 2013;96:239–45.
3. Kaseda K, Asakura K, Kazama A, et al. Risk factors for predicting occult lymph node metastasis in patients with clinical stage I non-small cell lung cancer staged by integrated fluorodeoxyglucose positron emission tomography/computed tomography. World J Surg. 2016;40:2976–83.
4. Koike T, Koike T, Yamato Y, et al. Predictive risk factors for mediastinal lymph node metastasis in clinical stage IA non-small cell lung cancer patients. J Thorac Oncol. 2012;7:1246–51.
5. Li L, Ren S, Zhang Y, et al. Risk factors for predicting the occult nodal metastasis in T1–2N0M0 NSCLC patients staged by PET/CT: potential value in the clinic. Lung Cancer. 2013;81:213–7.
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