Improved Interobserver Agreement on Lung-RADS Classification of Solid Nodules Using Semiautomated CT Volumetry-Reference-Cited by-同舟云学术

Improved Interobserver Agreement on Lung-RADS Classification of Solid Nodules Using Semiautomated CT Volumetry

Published:2020-12 Issue:3 Volume:297 Page:675-684
ISSN:0033-8419
Container-title:Radiology
language:en
Short-container-title:Radiology

Author:

Gierada David S.¹^ORCID,Rydzak Chara E.¹^ORCID,Zei Markus¹^ORCID,Rhea Lee¹^ORCID

Affiliation:

1. From the Mallinckrodt Institute of Radiology (D.S.G., C.E.R., M.Z.) and Department of Biostatistics (L.R.), School of Medicine, Washington University, 510 S Kingshighway Blvd, St Louis, MO 63110.

Funder

National Center for Advancing Translational Sciences of the National Institutes of Health.

Publisher

Radiological Society of North America (RSNA)

Subject

Radiology Nuclear Medicine and imaging

Link

http://pubs.rsna.org/doi/pdf/10.1148/radiol.2020200302

Reference16 articles.

1. STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT

2. The Measurement of Observer Agreement for Categorical Data

3. Are Two-dimensional CT Measurements of Small Noncalcified Pulmonary Nodules Reliable?

4. Evaluating Variability in Tumor Measurements from Same-day Repeat CT Scans of Patients with Non–Small Cell Lung Cancer

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