Nomograms integrating CT radiomic and deep learning signatures to predict overall survival and progression-free survival in NSCLC patients treated with chemotherapy

Deep learning for predicting immunotherapeutic efficacy in advanced non-small cell lung cancer patients: a retrospective study combining progression-free survival risk and overall survival risk

(2022) Bing-Xi He et al.   Translational Lung Cancer Research

Predicting chemotherapy response in non-small-cell lung cancer via computed tomography radiomic features: Peritumoral, intratumoral, or combined?

(2022) Runsheng Chang et al.   Frontiers in Oncology

Cancer Statistics, 2021

(2021) Rebecca L. Siegel et al.   CA-A CANCER JOURNAL FOR CLINICIANS

NCCN Guidelines Insights: Non–Small Cell Lung Cancer, Version 2.2021

(2021) David S. Ettinger et al.   Journal of the National Comprehensive Cancer Network

Epidemiologic Trends of and Factors Associated With Overall Survival for Patients With Gastroenteropancreatic Neuroendocrine Tumors in the United States

(2021) Zihan Xu et al.   JAMA Network Open

Deep Learning for Prediction of N2 Metastasis and Survival for Clinical Stage I Non–Small Cell Lung Cancer

(2021) Yifan Zhong et al.   RADIOLOGY

Artificial intelligence-assisted decision making for prognosis and drug efficacy prediction in lung cancer patients: a narrative review

(2021) Jingwei Li et al.   Journal of Thoracic Disease

Assessment of Clinicopathological Characteristics and Development of an Individualized Prognostic Model for Patients With Hepatoid Adenocarcinoma of the Stomach

(2021) Jian-Xian Lin et al.   JAMA Network Open

Immune checkpoint inhibitors, alone or in combination with chemotherapy, as first-line treatment for advanced non-small cell lung cancer. A systematic review and network meta-analysis

(2019) Urania Dafni et al.   LUNG CANCER

Radiomics: Data Are Also Images

(2019) Mathieu Hatt et al.   JOURNAL OF NUCLEAR MEDICINE

Chemotherapy remains a cornerstone in the treatment of nonsmall cell lung cancer

(2019) Robert Pirker   CURRENT OPINION IN ONCOLOGY

A New Approach to Predict Progression-free Survival in Stage IV EGFR-mutant NSCLC Patients with EGFR-TKI Therapy

(2018) Jiangdian Song et al.   CLINICAL CANCER RESEARCH

Radiomics analysis at PET/CT contributes to prognosis of recurrence and survival in lung cancer treated with stereotactic body radiotherapy

(2018) Anastasia Oikonomou et al.   Scientific Reports

Development of a radiomics nomogram based on the 2D and 3D CT features to predict the survival of non-small cell lung cancer patients

(2018) Lifeng Yang et al.   EUROPEAN RADIOLOGY

Construction of a nomogram predicting the overall survival of patients with distantly metastatic non-small-cell lung cancer

(2018) Jianqing Deng et al.   Cancer Management and Research

Association of Delayed Adjuvant Chemotherapy With Survival After Lung Cancer Surgery

(2017) Michelle C. Salazar et al.   JAMA Oncology

Radiomic Profiling of Glioblastoma: Identifying an Imaging Predictor of Patient Survival with Improved Performance over Established Clinical and Radiologic Risk Models

(2016) Philipp Kickingereder et al.   RADIOLOGY

Imaging Intratumor Heterogeneity: Role in Therapy Response, Resistance, and Clinical Outcome

(2014) J. P. B. O'Connor et al.   CLINICAL CANCER RESEARCH

Impact of Extratumoral Lymphatic Permeation on Postoperative Survival of Non–Small-Cell Lung Cancer Patients

(2014) Yuki Matsumura et al.   Journal of Thoracic Oncology

Tumour heterogeneity and the evolution of polyclonal drug resistance

(2014) Rebecca A. Burrell et al.   Molecular Oncology

Tumor Heterogeneity and Permeability as Measured on the CT Component of PET/CT Predict Survival in Patients with Non-Small Cell Lung Cancer

(2013) T. Win et al.   CLINICAL CANCER RESEARCH

Influence of tumour micro-environment heterogeneity on therapeutic response

(2013) Melissa R. Junttila et al.   NATURE

Microenvironmental regulation of tumor progression and metastasis

(2013) Daniela F Quail et al.   NATURE MEDICINE

Survival of patients treated surgically for synchronous single-organ metastatic NSCLC and advanced pathologic TN stage

(2012) Stphane Collaud et al.   LUNG CANCER

3D Slicer as an image computing platform for the Quantitative Imaging Network

(2012) Andriy Fedorov et al.   MAGNETIC RESONANCE IMAGING

Intratumor Heterogeneity and Branched Evolution Revealed by Multiregion Sequencing

(2012) Marco Gerlinger et al.   NEW ENGLAND JOURNAL OF MEDICINE

Regression shrinkage and selection via the lasso: a retrospective

(2011) Robert Tibshirani   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

The Impact of Additional Prognostic Factors on Survival and their Relationship with the Anatomical Extent of Disease Expressed by the 6th Edition of the TNM Classification of Malignant Tumors and the Proposals for the 7th Edition

(2010) Jean-Paul Sculier et al.   Journal of Thoracic Oncology

Asian Ethnicity Is a Favorable Prognostic Factor for Overall Survival in Non-small Cell Lung Cancer (NSCLC) and Is Independent of Smoking Status

(2010) Sai-Hong Ignatius Ou et al.   Journal of Thoracic Oncology

New response evaluation criteria in solid tumours: Revised RECIST guideline (version 1.1)

(2008) E.A. Eisenhauer et al.   EUROPEAN JOURNAL OF CANCER