Development and Validation of a CT-Based Signature for the Prediction of Distant Metastasis Before Treatment of Non-Small Cell Lung Cancer-Reference-Cited by-同舟云学术

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Development and Validation of a CT-Based Signature for the Prediction of Distant Metastasis Before Treatment of Non-Small Cell Lung Cancer

Published:2021-01 Issue: Volume: Page:
ISSN:1076-6332
Container-title:Academic Radiology
language:en
Short-container-title:Academic Radiology

Author:

Tao Junli,Lv Rongfei,Liang Changyu,Fang Jiayang,Liu Daihong,Lan Xiaosong,Huang Hong,Zhang Jiuquan^ORCID

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Chongqing key medical research project of combination of science and medicine

SKY Imaging Research Fund of the Chinese International Medical Foundation

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging

Reference35 articles.

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2. Morphological distribution of lung cancer from Cancer Incidence in Five Continents Vol. X;Matsuda;Japan J Clin Oncol,2015

3. Surgical intervention may be a therapeutic option for NSCLC patients with AJCC stage IV: a large population-based study;Wang;Cancer Manag Res,2018

4. Management of non-small-cell lung cancer: recent developments;Reck;Lancet,2013

5. 18F-FDG PET/CT and whole-body MRI diagnostic performance in M staging for non-small cell lung cancer: a systematic review and meta-analysis;Machado Medeiros;Eur Radiol,2020

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1. Predicting bone metastasis-free survival in non-small cell lung cancer from preoperative CT via deep learning;npj Precision Oncology;2024-07-28

2. Research progress of radiomics and artificial intelligence in lung cancer;Chinese Journal of Academic Radiology;2023-08-24

3. Development and Validation of a Comprehensive Model for Predicting Distant Metastasis of Solid Lung Adenocarcinoma: 3D Radiomics, 2D Radiomics and Clinical Features;Cancer Management and Research;2022-12

4. Value of CT Radiomics and Clinical Features in Predicting Bone Metastases in Patients with NSCLC;Contrast Media & Molecular Imaging;2022-08-22

5. A Combined Model to Improve the Prediction of Local Control for Lung Cancer Patients Undergoing Stereotactic Body Radiotherapy Based on Radiomic Signature Plus Clinical and Dosimetric Parameters;Frontiers in Oncology;2022-01-31

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