Preoperative predicting invasiveness of lung adenocarcinoma manifesting as ground-glass nodules based on multimodal images of dual-layer spectral detector CT radiomics models-Reference-Cited by-同舟云学术

Preoperative predicting invasiveness of lung adenocarcinoma manifesting as ground-glass nodules based on multimodal images of dual-layer spectral detector CT radiomics models

Published:2023-08-29 Issue:17 Volume:149 Page:15425-15438
ISSN:0171-5216
Container-title:Journal of Cancer Research and Clinical Oncology
language:en
Short-container-title:J Cancer Res Clin Oncol

Author:

Chang Yue,Xing Hanqi,Shang Yi,Liu Yuanqing,Yu Lefan,Dai Hui

Funder

the National Natural Science Foundation of China

the Suzhou Gusu Medical Youth Talent

Jiangsu Provincial Key Medical Discipline

Publisher

Springer Science and Business Media LLC

Subject

Cancer Research,Oncology,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s00432-023-05311-y.pdf

Reference42 articles.

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3. Asamura H, Suzuki K, Nakamura K et al (2013) Radiographically determined noninvasive adenocarcinoma of the lung: survival outcomes of Japan Clinical Oncology Group 0201. J Thorac Cardiovasc Surg 146(1):24–30

4. Causey Z, Ma J, Qualls P et al (2018) Highly accurate model for prediction of lung nodule malignancy with CT scans. Sci Rep 8(1):9286

5. Chae P, Park L, Kim G (2014) Computerized texture analysis of persistent part-solid ground-glass nodules: differentiation of preinvasive lesions from invasive pulmonary adenocarcinomas. Radiology 273(1):285–293

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