Effect of CT image acquisition parameters on diagnostic performance of radiomics in predicting malignancy of pulmonary nodules of different sizes-Reference-Cited by-同舟云学术

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Effect of CT image acquisition parameters on diagnostic performance of radiomics in predicting malignancy of pulmonary nodules of different sizes

Published:2021-09-21 Issue: Volume: Page:
ISSN:0938-7994
Container-title:European Radiology
language:en
Short-container-title:Eur Radiol

Author:

Xu Yan,Lu Lin^ORCID,Sun Shawn H.,E Lin-ning,Lian Wei,Yang Hao,Schwartz Lawrence H.,Yang Zheng-han,Zhao Binsheng

Funder

Natural Science Foundation of Beijing Municipality

Division of Cancer Epidemiology and Genetics, National Cancer Institute

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s00330-021-08274-1.pdf

Reference63 articles.

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2. Paul R, Hawkins SH, Schabath MB, Gillies RJ, Hall LO, Goldgof DB (2018) Predicting malignant nodules by fusing deep features with classical radiomics features. J Med Imaging (Bellingham) 5(1):011021. https://doi.org/10.1117/1.JMI.5.1.011021

3. Patz EF Jr, Pinsky P, Gatsonis C et al (2014) Overdiagnosis in low-dose computed tomography screening for lung cancer [published correction appears in JAMA Intern Med. 2014 May;174(5):828]. JAMA Intern Med 174(2):269–274. https://doi.org/10.1001/jamainternmed.2013.12738

4. Aberle DR, DeMello S, Berg CD et al (2013) Results of the two incidence screenings in the National Lung Screening Trial. N Engl J Med 369(10):920–931. https://doi.org/10.1056/NEJMoa1208962

5. Takiguchi Y, Sekine I, Iwasawa S (2013) Overdiagnosis in lung cancer screening with low-dose computed tomography. J Thorac Oncol 8(11):e101–e102. https://doi.org/10.1097/JTO.0b013e3182a476d4

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