Natural Language Processing for the Identification of Incidental Lung Nodules in Computed Tomography Reports: A Quality Control Tool-Reference-Cited by-同舟云学术

Natural Language Processing for the Identification of Incidental Lung Nodules in Computed Tomography Reports: A Quality Control Tool

Published:2023-09 Issue:9 Volume: Page:
ISSN:2687-8941
Container-title:JCO Global Oncology
language:en
Short-container-title:JCO Glob Oncol

Author:

Basilio Rodrigo¹^ORCID,Carvalho Alysson Roncally¹,Rodrigues Rosana¹^ORCID,Conrado Marco¹,Accorsi Stefânia Anselmini¹^ORCID,Forghani Reza²^ORCID,Machuca Tiago¹^ORCID,Zanon Matheus³^ORCID,Altmayer Stephan⁴^ORCID,Hochhegger Bruno²³^ORCID

Affiliation:

1. D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil

2. Radiomics and Augmented Intelligence Laboratory (RAIL), University of Florida, Gainesville, FL

3. Federal University of Health Sciences of Porto Alegre, Porto Alegre, Brazil

4. Stanford Hospital, Stanford University Medical Center, Palo Alto, CA

Abstract

NLP tool accurately identifies ILNs in chest CT reports, enabling early lung cancer detection and reducing patient loss to follow-up.

Publisher

American Society of Clinical Oncology (ASCO)

Subject

Cancer Research,Oncology

Link

https://ascopubs.org/doi/pdfdirect/10.1200/GO.23.00191

Reference22 articles.

1. Incidental pulmonary nodules: Characterization and management

2. Management of Incidental Lung Nodules

3. Reduced Lung-Cancer Mortality with Volume CT Screening in a Randomized Trial

4. Natural Language Processing to Identify Pulmonary Nodules and Extract Nodule Characteristics From Radiology Reports

5. Review of Natural Language Processing in Radiology

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