Deep learning for predicting subtype classification and survival of lung adenocarcinoma on computed tomography

Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

(2021) Hyuna Sung et al.   CA-A CANCER JOURNAL FOR CLINICIANS

Clinicopathological variables influencing overall survival, recurrence and post-recurrence survival in resected stage I non-small-cell lung cancer

(2020) Chengdi Wang et al.   BMC CANCER

Reduced Lung-Cancer Mortality with Volume CT Screening in a Randomized Trial

(2020) Harry J. de Koning et al.   NEW ENGLAND JOURNAL OF MEDICINE

Both the presence of a micropapillary component and the micropapillary predominant subtype predict poor prognosis after lung adenocarcinoma resection: a meta-analysis

(2020) Wei Wang et al.   Journal of Cardiothoracic Surgery

Development and clinical application of deep learning model for lung nodules screening on CT images

(2020) Sijia Cui et al.   Scientific Reports

Histopathological subtyping is a prognostic factor in stage IV lung adenocarcinoma

(2020) Vanessa Da Cruz et al.   LUNG CANCER

Predicting the invasiveness of lung adenocarcinomas appearing as ground-glass nodule on CT scan using multi-task learning and deep radiomics

(2020) Xiang Wang et al.   Translational Lung Cancer Research

Solid predominant subtype in lung adenocarcinoma is related to poor prognosis after surgical resection: A systematic review and meta-analysis

(2019) Naofumi Miyahara et al.   EJSO

Computed Tomography based Score Indicative of Lung Cancer Aggression (SILA) Predicts the Degree of Histological Tissue Invasion and Patient Survival in Lung Adenocarcinoma Spectrum

(2019) Cyril Varghese et al.   Journal of Thoracic Oncology

End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography

(2019) Diego Ardila et al.   NATURE MEDICINE

Deep Learning–based Image Conversion of CT Reconstruction Kernels Improves Radiomics Reproducibility for Pulmonary Nodules or Masses

(2019) Jooae Choe et al.   RADIOLOGY

NCCN Guidelines Insights: Non–Small Cell Lung Cancer, Version 1.2020

(2019) David S. Ettinger et al.   Journal of the National Comprehensive Cancer Network

Added prognostic value of CT characteristics and IASLC/ATS/ERS histologic subtype in surgically resected lung adenocarcinomas

(2018) Young Joo Suh et al.   LUNG CANCER

3D Deep Learning from CT Scans Predicts Tumor Invasiveness of Subcentimeter Pulmonary Adenocarcinomas

(2018) Wei Zhao et al.   CANCER RESEARCH

The practical implementation of artificial intelligence technologies in medicine

(2018) Jianxing He et al.   NATURE MEDICINE

Clinical characteristics and medical service utilization of lung cancer in China, 2005–2014: Overall design and results from a multicenter retrospective epidemiologic survey

(2018) Ju-Fang Shi et al.   LUNG CANCER

Non–Small Cell Lung Cancer, Version 5.2017, NCCN Clinical Practice Guidelines in Oncology

(2017) David S. Ettinger et al.   Journal of the National Comprehensive Cancer Network

Imaging Phenotyping Using Radiomics to Predict Micropapillary Pattern within Lung Adenocarcinoma

(2017) So Hee Song et al.   Journal of Thoracic Oncology

Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

Guidelines for Management of Incidental Pulmonary Nodules Detected on CT Images: From the Fleischner Society 2017

(2017) Heber MacMahon et al.   RADIOLOGY

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

(2016) Varun Gulshan et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Radiomics: Images Are More than Pictures, They Are Data

(2016) Robert J. Gillies et al.   RADIOLOGY

Subtype Classification of Lung Adenocarcinoma Predicts Benefit From Adjuvant Chemotherapy in Patients Undergoing Complete Resection

(2015) Ming-Sound Tsao et al.   JOURNAL OF CLINICAL ONCOLOGY

Solid Predominant Histologic Subtype in Resected Stage I Lung Adenocarcinoma Is an Independent Predictor of Early, Extrathoracic, Multisite Recurrence and of Poor Postrecurrence Survival

(2015) Hideki Ujiie et al.   JOURNAL OF CLINICAL ONCOLOGY

The 2015 World Health Organization Classification of Lung Tumors

(2015) William D. Travis et al.   Journal of Thoracic Oncology

Prognostic value of the new IASLC/ATS/ERS classification of clinical stage IA lung adenocarcinoma

(2015) Shuji Murakami et al.   LUNG CANCER

Surgical implications of the new IASLC/ATS/ERS adenocarcinoma classification

(2011) P. E. Van Schil et al.   EUROPEAN RESPIRATORY JOURNAL

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 Classification

(2011) Prudence A. Russell et al.   Journal of Thoracic Oncology

International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society International Multidisciplinary Classification of Lung Adenocarcinoma

(2011) William D. Travis et al.   Journal of Thoracic Oncology

Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening

(2011)   NEW ENGLAND JOURNAL OF MEDICINE