Artificial intelligence for detecting small FDG-positive lung nodules in digital PET/CT: impact of image reconstructions on diagnostic performance-Reference-Cited by-同舟云学术

Artificial intelligence for detecting small FDG-positive lung nodules in digital PET/CT: impact of image reconstructions on diagnostic performance

Published:2019-12-10 Issue:4 Volume:30 Page:2031-2040
ISSN:0938-7994
Container-title:European Radiology
language:en
Short-container-title:Eur Radiol

Author:

Schwyzer Moritz,Martini Katharina,Benz Dominik C.,Burger Irene A.,Ferraro Daniela A.,Kudura Ken,Treyer Valerie,von Schulthess Gustav K.,Kaufmann Philipp A.,Huellner Martin W.,Messerli Michael

Funder

GE Healthcare - institutional grant

Publisher

Springer Science and Business Media LLC

Subject

Radiology Nuclear Medicine and imaging,General Medicine

Link

http://link.springer.com/content/pdf/10.1007/s00330-019-06498-w.pdf

Reference30 articles.

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3. Wahidi MM, Govert JA, Goudar RK, Gould MK, McCrory DC, American College of Chest Physicians (2007) Evidence for the treatment of patients with pulmonary nodules: when is it lung cancer?: ACCP evidence-based clinical practice guidelines (2nd edition). Chest 132:94S–107S

4. Quint LE, Park CH, Iannettoni MD (2000) Solitary pulmonary nodules in patients with extrapulmonary neoplasms. Radiology 217:257–261

5. Taralli S, Scolozzi V, Triumbari EK et al (2019) Is 18F-fluorodeoxyglucose positron emission tomography/computed tomography useful to discriminate metachronous lung cancer from metastasis in patients with oncological history? Q J Nucl Med Mol Imaging. https://doi.org/10.23736/S1824-4785.19.03140-6

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