Reader Study of DeltaView™ Chest Radiograph Software

Georgetown University15 enrolled

Overview

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.

Study Type

OBSERVATIONAL

Enrollment

Conditions

Lung Neoplasm

Eligibility

Sex: ALLMin age: 35 YearsMax age: 100 Years

Medical Language ↔ Plain English

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

Locations (1)

ISIS Research Center, Georgetown University Medical Center

Washington D.C., District of Columbia, United States

Outcomes

Primary Outcomes

Localized Receiver Operating Characteristic (LROC) Comparison

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. There were 422 cases in the total study. 20 of these were inserted as "noise" cases, not to be analyzed. Thus there were 402 cases to be analyzed. There were 120 cases with nodules and 282 without a nodule. LROC is a method for measuring the success or failure of a method where there is a tradeoff between the detection of lung nodules that are there (true positives) and the detection that the radiologist considers to be a nodule where no nodule is present (false positive). It yields a single number that done not have a unit of measurement.

Time frame: 1 day

Secondary Outcomes

Sensitivity and Specificity

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.

Time frame: 1 day

False Positive Decisions of Radiologists

This is a comparison of the radiologists working without and with the software. The false positive rate is the percentage of cases in which the radiologists identified a lesions/location suspected of being cancer at a location where cancer was not present. . A false positive represents a location selected on a chest image without cancer and, also, a mark on a chest image where cancer was present, but a different location, one without cancer, was marked.The radiologists could mark up to five locations on an image and had to provide a confidence rating for each. This analysis is of the single mark with the highest confidence level.

Time frame: 1 day

Data from ClinicalTrials.gov

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