Histopathologic Basis for a Chest CT Deep Learning Survival Prediction Model in Patients with Lung Adenocarcinoma
Authors:
- Ju Gang NamJu Gang Nam
- Samina ParkSPSamina Park
- Chang Min ParkCPChang Min Park
- Yoon Kyung JeonYJYoon Kyung Jeon
- Doo Hyun ChungDCDoo Hyun Chung
- Jin Mo GooJGJin Mo Goo
- Young Tae KimYKYoung Tae Kim
- Hyungjin KimHKHyungjin Kim
- 1 November 2022
- journal article
- research article
- Published by Radiological Society of North America (RSNA) in Radiology
- Vol. 305 (2) , 441-451
Abstract
Output from a preoperative chest CT-based deep learning model was associated with histopathologic risk factors of lung adenocarcinoma independent of the clinical T category and radiologic nodule type. Background A preoperative CT-based deep learning (DL) prediction model was proposed to estimate disease-free survival in patients with resected lung adenocarcinoma. However, the black-box nature of...Keywords
Funding Information
- National Research Foundation of Korea
- Ministry of Science and ICT (NRF-2020R1C1C1003684)
This publication has 30 references indexed in Scilit:
- Subtype Classification of Lung Adenocarcinoma Predicts Benefit From Adjuvant Chemotherapy in Patients Undergoing Complete ResectionJournal of Clinical Oncology, 2015
- Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approachNature Communications, 2014
- Relationships between EGFR Mutation Status of Lung Cancer and Preoperative Factors - Are they Predictive?Asian Pacific Journal of Cancer Prevention, 2014
- Solid tumor size on high-resolution computed tomography and maximum standardized uptake on positron emission tomography for new clinical T descriptors with T1 lung adenocarcinomaAnnals of Oncology, 2013
- Non–Small Cell Lung Cancer: Histopathologic Correlates for Texture Parameters at CTRadiology, 2013
- Does Lung Adenocarcinoma Subtype Predict Patient Survival?: A Clinicopathologic Study Based on the New International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society International Multidisciplinary Lung Adenocarcinoma ClassificationJournal of Thoracic Oncology, 2011
- The American Joint Committee on Cancer: the 7th Edition of the AJCC Cancer Staging Manual and the Future of TNMAnnals of Surgical Oncology, 2010
- The IASLC Lung Cancer Staging Project: Proposals for the Revision of the TNM Stage Groupings in the Forthcoming (Seventh) Edition of the TNM Classification of Malignant TumoursJournal of Thoracic Oncology, 2007
- Histologic features are important prognostic indicators in early stages lung adenocarcinomasLaboratory Investigation, 2007
- Prognostic significance of [18F]fluorodeoxyglucose uptake on positron emission tomography in patients with pathologic stage I lung adenocarcinomaCancer, 2006