Utility of Volumetric Metabolic Parameters on Preoperative FDG PET/CT for Predicting Tumor Lymphovascular Invasion in Non–Small Cell Lung Cancer
Author:
Affiliation:
1. Department of Nuclear Medicine, Zhongnan Hospital of Wuhan University, #169 E Lake Rd, Wuchang District, Wuhan 430071, China
Publisher
American Roentgen Ray Society
Subject
Radiology Nuclear Medicine and imaging,General Medicine
Link
https://www.ajronline.org/doi/pdf/10.2214/AJR.21.25814
Reference28 articles.
1. Cancer Statistics, 2021
2. Additional value of metabolic parameters to PET/CT-based radiomics nomogram in predicting lymphovascular invasion and outcome in lung adenocarcinoma
3. Long-term Survival and Risk Factors for Recurrence in Stage I Non-small Cell Lung Cancer Patients With Tumors up to 3 cm in Maximum Dimension
4. Poor Prognostic Factors in Patients With Stage IB Non-small Cell Lung Cancer According to the Seventh Edition TNM Classification
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1. 18F-FDG PET/CT radiomics for prediction of lymphovascular invasion in patients with early stage non-small cell lung cancer;Frontiers in Oncology;2023-07-21
2. Predicting pathological highly invasive lung cancer from preoperative [18F]FDG PET/CT with multiple machine learning models;European Journal of Nuclear Medicine and Molecular Imaging;2022-11-17
3. Predicting pathological highly invasive lung cancer from preoperative 18F-FDG PET/CT with multiple machine learning models;2022-09-23
4. Intratumoral and peritumoral radiomics nomograms for the preoperative prediction of lymphovascular invasion and overall survival in non-small cell lung cancer;European Radiology;2022-09-06
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