Literature DB >> 26262327

Identification of Incidental Pulmonary Nodules in Free-text Radiology Reports: An Initial Investigation.

Lucas Oliveira1, Ranjith Tellis1, Yuechen Qian1, Karen Trovato1, Gabe Mankovich1.   

Abstract

Advances in image quality produced by computed tomography (CT) and the growth in the number of image studies currently performed has made the management of incidental pulmonary nodules (IPNs) a challenging task. This research aims to identify IPNs in radiology reports of chest and abdominal CT by Natural Language Processing techiniques to recognize IPN in sentences of radiology reports. Our preliminary analysis indicates vastly different pulmonary incidental findings rates for two different patient groups.

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Year:  2015        PMID: 26262327

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  2 in total

Review 1.  Clinical concept extraction: A methodology review.

Authors:  Sunyang Fu; David Chen; Huan He; Sijia Liu; Sungrim Moon; Kevin J Peterson; Feichen Shen; Liwei Wang; Yanshan Wang; Andrew Wen; Yiqing Zhao; Sunghwan Sohn; Hongfang Liu
Journal:  J Biomed Inform       Date:  2020-08-06       Impact factor: 6.317

2.  Process improvement for follow-up radiology report recommendations of lung nodules.

Authors:  Philip S Lim; Doron Schneider; Jonathan Sternlieb; Michel Taupin; Nicholas Sich; Joan Dian; Eileen Jameson; Bryan Frambes; Sharon Taylor
Journal:  BMJ Open Qual       Date:  2019-04-24
  2 in total

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