Title |
Clinical Utility of a Plasma Protein Classifier for Indeterminate Lung Nodules
|
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Published in |
Lung, September 2015
|
DOI | 10.1007/s00408-015-9800-0 |
Pubmed ID | |
Authors |
Anil Vachani, Zane Hammoud, Steven Springmeyer, Neri Cohen, Dao Nguyen, Christina Williamson, Sandra Starnes, Stephen Hunsucker, Scott Law, Xiao-Jun Li, Alexander Porter, Paul Kearney |
Abstract |
Evaluation of indeterminate pulmonary nodules is a complex challenge. Most are benign but frequently undergo invasive and costly procedures to rule out malignancy. A plasma protein classifier was developed that identifies likely benign nodules that can be triaged to CT surveillance to avoid unnecessary invasive procedures. The clinical utility of this classifier was assessed in a prospective-retrospective analysis of a study enrolling 475 patients with nodules 8-30 mm in diameter who had an invasive procedure to confirm diagnosis at 12 sites. Using this classifier, 32.0 % (CI 19.5-46.7) of surgeries and 31.8 % (CI 20.9-44.4) of invasive procedures (biopsy and/or surgery) on benign nodules could have been avoided. Patients with malignancy triaged to CT surveillance by the classifier would have been 24.0 % (CI 19.2-29.4). This rate is similar to that described in clinical practices (24.5 % CI 16.2-34.4). This study demonstrates the clinical utility of a non-invasive blood test for pulmonary nodules. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 42 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 17% |
Student > Ph. D. Student | 6 | 14% |
Student > Master | 5 | 12% |
Other | 4 | 10% |
Student > Bachelor | 2 | 5% |
Other | 5 | 12% |
Unknown | 13 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 7 | 17% |
Medicine and Dentistry | 6 | 14% |
Biochemistry, Genetics and Molecular Biology | 4 | 10% |
Computer Science | 3 | 7% |
Chemistry | 2 | 5% |
Other | 5 | 12% |
Unknown | 15 | 36% |