Assessment of Integrated Classifier's Ability to Distinguish Benign From Malignant Lung Nodules: Extended Analyses and 2-Year Follow-Up Results of the PANOPTIC (Pulmonary Nodule Plasma Proteomic Classifier) Trial.
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| Title: | Assessment of Integrated Classifier's Ability to Distinguish Benign From Malignant Lung Nodules: Extended Analyses and 2-Year Follow-Up Results of the PANOPTIC (Pulmonary Nodule Plasma Proteomic Classifier) Trial. |
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| Authors: | Tanner NT; Health Equity and Rural Outreach Innovation Center (HEROIC), Ralph H. Johnson Veterans Affairs Medical Center, Charleston, SC; Department of Medicine, Thoracic Oncology Research Group, Medical University of South Carolina, Charleston, SC. Electronic address: tripici@musc.edu., Springmeyer SC; Biodesix, Inc., Boulder, CO., Porter A; Department of Clinical Operations and Medical Affairs, AllerGenis, Hatfield, PA., Jett JR; National Jewish Health, Denver, CO., Mazzone P; Cleveland Clinic Respiratory Institute, Denver, CO., Vachani A; University of Pennsylvania, Philadelphia, PA., Silvestri GA; Department of Medicine, Thoracic Oncology Research Group, Medical University of South Carolina, Charleston, SC. |
| Source: | Chest [Chest] 2021 Mar; Vol. 159 (3), pp. 1283-1287. Date of Electronic Publication: 2020 Nov 07. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Elsevier Country of Publication: United States NLM ID: 0231335 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1931-3543 (Electronic) Linking ISSN: 00123692 NLM ISO Abbreviation: Chest Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1931-3543 |
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| DOI: | 10.1016/j.chest.2020.10.069 |
