Reader Study of DeltaView™ Chest Radiograph Software
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Purpose
A new software product takes two chest radiographs, aligns them, and then subtracts one image from the other. The resulting image represents an image showing any differences between them. The study is to determine whether radiologists using this new software perform better with it than when they do not use it.
| Condition |
|---|
|
Lung Neoplasm |
| Study Type: | Observational |
| Official Title: | Reader Study to Demonstrate That Use of DeltaView™ is Superior to the Use Standard Prior and Current AP/PA X-ray Image Pair |
- LROC comparison [ Time Frame: 1 year ] [ Designated as safety issue: No ]The area under the LROC curve will be compared for the chest radiograph interpretations done without the new software and those done with the new software. Improvement will be demonstrated if the improvement with the new software is statistically significant at the p=<0.05
- Sensitivity and Specificity [ Time Frame: 1 year ] [ Designated as safety issue: No ]Sensitivity and specificity will be measured. If the radiologists using the new software have higher sensitivity, statistically significant at the p=< 0.05, the use of the new software will be considered to have resulted in improvement. A decrease in specificity is expected.
| Estimated Enrollment: | 10 |
| Study Start Date: | November 2010 |
| Estimated Study Completion Date: | December 2012 |
| Primary Completion Date: | December 2011 (Final data collection date for primary outcome measure) |
Eligibility| Ages Eligible for Study: | 35 Years and older |
| Genders Eligible for Study: | Both |
| Accepts Healthy Volunteers: | No |
| Sampling Method: | Non-Probability Sample |
Radiologists in community practice of radiology chest radiographs of individuals with or without a lung nodule
Inclusion Criteria:
For Radiologists: American Board of Radiology Certification and live within the Baltimore, MD-Washington, DC Metropolitan areas
For chest radiographs, evidence of the presence or absence of lung nodule confirmed by expert panel; adequate image quality
-
Exclusion Criteria:
Radiologists who assisted by providing cases for review
For chest radiographs: poor image quality
Contacts and Locations| United States, District of Columbia | |
| ISIS Research Center, Georgetown University Medical Center | |
| Washington, District of Columbia, United States, 20007 | |
| Principal Investigator: | Matthew T Freedman, MD, MBA | Georgetown University |
| Principal Investigator: | S.-C. Ben Lo, PhD | Georgetown University |
More Information
No publications provided
| Responsible Party: | Matthew T. Freedman, MD, Associate Professor Oncology, Georgetown University |
| ClinicalTrials.gov Identifier: | NCT01261507 History of Changes |
| Other Study ID Numbers: | DHF-183-0531A |
| Study First Received: | December 14, 2010 |
| Last Updated: | March 12, 2012 |
| Health Authority: | United States: Institutional Review Board |
Keywords provided by Georgetown University:
|
lung neoplasm nodule image processing computer-assisted |
Additional relevant MeSH terms:
|
Neoplasms Lung Neoplasms Respiratory Tract Neoplasms Thoracic Neoplasms |
Neoplasms by Site Lung Diseases Respiratory Tract Diseases |
ClinicalTrials.gov processed this record on June 17, 2013