Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
684 participants
OBSERVATIONAL
2012-10-31
2016-12-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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COHORT
PROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
* Smoking history: Never, Former, Current
* Subject undergoing diagnostic evaluation for a lung nodule
* Subject undergoing evaluation for a lung nodule by a pulmonologist, and/or by a thoracic surgeon
* Baseline CT scan identifying lung nodule performed within 60 days of subject enrollment
* Nodule(s) identified by CT scan previously not followed
* Subject willing to provide informed consent for the collection of blood specimens
Exclusion Criteria
* A prior CT scan is available that previously identifies the same lung nodule under consideration for study inclusion on the most current CT scan; AND the prior CT scan was performed more than 60 days before the current CT scan, irrespective of the candidate nodule's radiographic characterization such as size, density or appearance
* Current diagnosis of any cancer
* Prior diagnosis of any cancer within 2 years of lung nodule detection, except for non-melanoma skin cancer
* Administration of blood products, e.g. packed red blood cells, fresh frozen plasma, or platelets, within 30 days of subject enrollment
* History of human immunodeficiency virus (HIV) or Hepatitis C
40 Years
ALL
Yes
Sponsors
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Integrated Diagnostics
INDUSTRY
Responsible Party
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Principal Investigators
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Russell F. Hudnall
Role: STUDY_DIRECTOR
Integrated Diagnostics, Inc.
Locations
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St. Joseph's Hospital & Medical Center
Phoenix, Arizona, United States
Pulmonary Associates of Southern Arizona
Tucson, Arizona, United States
University of Southern California
Los Angeles, California, United States
California Pacific Medical Center
San Francisco, California, United States
Sarasota Memorial Hospital
Sarasota, Florida, United States
Georgia Lung Associates
Austell, Georgia, United States
Suburban Lung Associates
Elk Grove Village, Illinois, United States
Kentuckiana Pulmonary Associates
Louisville, Kentucky, United States
Pulmonary & Crit Care Associates of Baltimore
Baltimore, Maryland, United States
Johns Hopkins Medical Center
Baltimore, Maryland, United States
Baystate Health
Springfield, Massachusetts, United States
Henry Ford Hospital
Detroit, Michigan, United States
Beaumont Health System
Royal Oak, Michigan, United States
Virginia Piper Cancer Institute - Allina Health
Minneapolis, Minnesota, United States
Mayo Clinic
Rochester, Minnesota, United States
St. Luke's Medical Center
Chesterfield, Missouri, United States
New York University Clinical Cancer Center
New York, New York, United States
Charleston Research Institute
Charleston, North Carolina, United States
Carolinas HealthCare System
Charlotte, North Carolina, United States
LeBaurer Healthcare
Greensboro, North Carolina, United States
Salem Chest Specialists
Winston-Salem, North Carolina, United States
Cleveland Clinic
Cleveland, Ohio, United States
Oregon Clinic
Portland, Oregon, United States
Geisinger Medical Center
Danville, Pennsylvania, United States
University of Pennsylvania
Philadelphia, Pennsylvania, United States
Allegheny General Hospital
Pittsburgh, Pennsylvania, United States
Medical University of South Carolina
Charleston, South Carolina, United States
Vanderbilt-Ingram Cancer Center
Nashville, Tennessee, United States
Scott & White Clinic
Temple, Texas, United States
Inova Healthcare
Fairfax, Virginia, United States
Fred Hutchinson Cancer Research Center
Seattle, Washington, United States
University Health Network - Toronto General Hospital
Toronto, Ontario, Canada
Institute Universitarie de Cardiologie et de Pneumologie
Québec, Quebec, Canada
Countries
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References
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Long KJ, Silvestri GA, Kammer MN, Gibbs S, Wu W, Johal M, Pipavath S, Pitcher T, Jett J, Nair VS. Validation of a High-Specificity Blood Autoantibody Test to Detect Lung Cancer in Pulmonary Nodules. CHEST Pulm. 2025 Mar;3(1):100130. doi: 10.1016/j.chpulm.2024.100130. Epub 2024 Dec 25.
Silvestri GA, Tanner NT, Kearney P, Vachani A, Massion PP, Porter A, Springmeyer SC, Fang KC, Midthun D, Mazzone PJ; PANOPTIC Trial Team. Assessment of Plasma Proteomics Biomarker's Ability to Distinguish Benign From Malignant Lung Nodules: Results of the PANOPTIC (Pulmonary Nodule Plasma Proteomic Classifier) Trial. Chest. 2018 Sep;154(3):491-500. doi: 10.1016/j.chest.2018.02.012. Epub 2018 Mar 1.
Other Identifiers
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PANOPTIC (1001-12)
Identifier Type: -
Identifier Source: org_study_id
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