Ability of FDG PET and CT radiomics features to differentiate between primary and metastatic lung lesions-Reference-Cited by-同舟云学术

Ability of FDG PET and CT radiomics features to differentiate between primary and metastatic lung lesions

Published:2018-04-06 Issue:10 Volume:45 Page:1649-1660
ISSN:1619-7070
Container-title:European Journal of Nuclear Medicine and Molecular Imaging
language:en
Short-container-title:Eur J Nucl Med Mol Imaging

Author:

Kirienko Margarita,Cozzi Luca,Rossi Alexia,Voulaz Emanuele,Antunovic Lidija,Fogliata Antonella,Chiti Arturo,Sollini Martina^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,General Medicine,Radiology, Nuclear Medicine and imaging,General Medicine

Link

http://link.springer.com/article/10.1007/s00259-018-3987-2/fulltext.html

Reference39 articles.

1. Sim YT, Poon FW. Imaging of solitary pulmonary nodule – a clinical review. Quant Imaging Med Surg. 2013;3:316–26.

2. van Gómez López O, García Vicente AM, Honguero Martínez AF, Jiménez Londoño GA, Vega Caicedo CH, León Atance P, et al. (18)F-FDG-PET/CT in the assessment of pulmonary solitary nodules: comparison of different analysis methods and risk variables in the prediction of malignancy. Transl Lung Cancer Res. 2015;4:228–35.

3. Ruilong Z, Daohai X, Li G, Xiaohong W, Chunjie W, Lei T. Diagnostic value of 18F-FDG-PET/CT for the evaluation of solitary pulmonary nodules: a systematic review and meta-analysis. Nucl Med Commun. 2017;38:67–75.

4. Dabrowska M, Krenke R, Korczynski P, Maskey-Warzechowska M, Zukowska M, Kunikowska J, et al. Diagnostic accuracy of contrast-enhanced computed tomography and positron emission tomography with 18-FDG in identifying malignant solitary pulmonary nodules. Medicine (Baltimore). 2015;94:e666.

5. Kikano GE, Fabien A, Schilz R. Evaluation of the solitary pulmonary nodule. Am Fam Phys. 2015;92:1084–91.

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