![[ Back to EurekAlert! ]](https://lh3.googleusercontent.com/blogger_img_proxy/AEn0k_s-vhCbCqQM80-q0kGIW6R3R-vYC6h9GRnUncVv-Dh0weZTnbbtHrck3fDG8pM0W1q7LfuVJwORKEVHVmXwW_1K_5KvMADo9SQI4WNOxOo=s0-d){kind=small}
Public release date: 15-Jul-2012[ | E-mail |
Share ] Contact: Kristal Griffith
Kristal.Griffith@iaslc.org
720-325-2952
International Association for the Study of Lung Cancer
Identification system for community settings
DENVER Pulmonary nodules are common, but few studies of lung nodule identification and clinical evaluation have been performed in community settings. Researchers from Kaiser Permanente Southern California identified 7,112 patients who had one or more nodules by using existing information within the electronic medical record.
Their study presented in the August 2012 issue of the International Association for the Study of Lung Cancer's (IASLC) Journal of Thoracic Oncology, showed how researchers developed and implemented a new method for identifying lung nodules in community-based settings.
The researchers used a combination of ICD-9 codes, CPT codes and an algorithm for natural language processing (NLP) to classify the nodules. This automated method had a 96 percent sensitivity and 86 percent specificity compared to clinician review.
The authors suggest that the automated process, "could be used to study the incidence and prevalence of lung nodules in large populations, with the caveat that approximately 13 percent of cases identified by the automated method would not meet our definition of one or more nodules (e.g., be false-positives)."
Since this study favored sensitivity over specificity, the authors advise that the method "could be used as a sensitive first step to be followed by more specific review of radiology transcripts or actual imaging studies."
As screening programs for lung cancer have proven to be beneficial in specific high-risk populations, this study also provides useful information for the study of screen-detected nodules.
###
The lead author of this work is Kim Danforth, ScD, MPH, Kaiser Permanente Southern California, Department of Research & Evaluation. The senior author is Michael Gould, MD, MS, Kaiser Permanente Southern California, Department of Research & Evaluation.
About the IASLC: The International Association for the Study of Lung Cancer (IASLC) is the only global organization dedicated to the study of lung cancer. Founded in 1974, the association's membership includes more than 3,500 lung cancer specialists in 80 countries. To learn more about IASLC please visit www.iaslc.org.
[ | E-mail | Share ] ?
AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert! system.
Public release date: 15-Jul-2012[ | E-mail |
Share ] Contact: Kristal Griffith
Kristal.Griffith@iaslc.org
720-325-2952
International Association for the Study of Lung Cancer
Identification system for community settings
DENVER Pulmonary nodules are common, but few studies of lung nodule identification and clinical evaluation have been performed in community settings. Researchers from Kaiser Permanente Southern California identified 7,112 patients who had one or more nodules by using existing information within the electronic medical record.
Their study presented in the August 2012 issue of the International Association for the Study of Lung Cancer's (IASLC) Journal of Thoracic Oncology, showed how researchers developed and implemented a new method for identifying lung nodules in community-based settings.
The researchers used a combination of ICD-9 codes, CPT codes and an algorithm for natural language processing (NLP) to classify the nodules. This automated method had a 96 percent sensitivity and 86 percent specificity compared to clinician review.
The authors suggest that the automated process, "could be used to study the incidence and prevalence of lung nodules in large populations, with the caveat that approximately 13 percent of cases identified by the automated method would not meet our definition of one or more nodules (e.g., be false-positives)."
Since this study favored sensitivity over specificity, the authors advise that the method "could be used as a sensitive first step to be followed by more specific review of radiology transcripts or actual imaging studies."
As screening programs for lung cancer have proven to be beneficial in specific high-risk populations, this study also provides useful information for the study of screen-detected nodules.
###
The lead author of this work is Kim Danforth, ScD, MPH, Kaiser Permanente Southern California, Department of Research & Evaluation. The senior author is Michael Gould, MD, MS, Kaiser Permanente Southern California, Department of Research & Evaluation.
About the IASLC: The International Association for the Study of Lung Cancer (IASLC) is the only global organization dedicated to the study of lung cancer. Founded in 1974, the association's membership includes more than 3,500 lung cancer specialists in 80 countries. To learn more about IASLC please visit www.iaslc.org.
[ | E-mail | Share ] ?
AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert! system.
Source: http://www.eurekalert.org/pub_releases/2012-07/iaft-rdn071312.php
osu football oklahoma state santonio holmes raheem morris winter classic mt rainier caucus
No comments:
Post a Comment
Note: Only a member of this blog may post a comment.