A Study to Evaluate Chang Gung Pneumothorax Detection Software
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ClinicalTrials.gov Identifier: NCT05903209 |
Recruitment Status :
Enrolling by invitation
First Posted : June 15, 2023
Last Update Posted : January 11, 2024
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Condition or disease | Intervention/treatment |
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Pneumothorax | Device: Chang Gung Pneumothorax Detection Software |
This clinical trial is a retrospective study. DICOM images of de-identified Chest X-Ray were collected from 6 hospitals of Chang Gung Memorial Hospital from January 1, 2006 to December 31, 2020. The test set of 5,347 items was established, and total of 344 cases will be sampled by simple random stratification, including 172 cases with pneumothorax and 172 cases without pneumothorax. The image must be in DICOM format.
Follow-up by three specialist physicians to interpret the presence or absence of pneumothorax, the result will be the standard of this test (Reference). After confirming the correct standard of each Chest X-Ray, the Chest X-Ray will be put into Chang Gung Pneumothorax Detection Software, and analyzed by the primary and secondary outcomes.
Study Type : | Observational |
Estimated Enrollment : | 344 participants |
Observational Model: | Case-Control |
Time Perspective: | Retrospective |
Official Title: | A Study to Evaluate Accuracy and Validity of Chang Gung Pneumothorax Detection Software Compared With Reference by Qualified Physicians |
Actual Study Start Date : | June 13, 2022 |
Actual Primary Completion Date : | December 15, 2023 |
Estimated Study Completion Date : | January 12, 2024 |
Group/Cohort | Intervention/treatment |
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Software diagnosis
Software diagnosis with gold standard of 3 doctors' interpretation.
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Device: Chang Gung Pneumothorax Detection Software
The Chang Gung Pneumothorax Detection Software is an independent software as a medical device, which inputs digital Chest X-Ray to automatically detect whether there is a pneumothorax. The inferred results output by this software can assist clinicians or professional medical personnel to identify whether a patient has pneumothorax. This product is only used to analyze the digitized Chest X-Ray DICOM of patients over 20 years old and under 100 years old. |
- Sensitivity [ Time Frame: baseline ]The rate of test results that correctly indicate the presence.
- Specificity [ Time Frame: baseline ]The rate of test results that correctly indicate the absence.
- Area Under the receiver operating characteristic Curve [ Time Frame: baseline ]A graphical plot that illustrates the diagnostic ability of a binary classifier system as its discrimination threshold is varied.
Choosing to participate in a study is an important personal decision. Talk with your doctor and family members or friends about deciding to join a study. To learn more about this study, you or your doctor may contact the study research staff using the contacts provided below. For general information, Learn About Clinical Studies.
Ages Eligible for Study: | 20 Years to 100 Years (Adult, Older Adult) |
Sexes Eligible for Study: | All |
Accepts Healthy Volunteers: | No |
Sampling Method: | Probability Sample |
Inclusion Criteria:
- The case were over 20 years old and under 100 years old.
- DICOM format.
- Brand model of Canon.
- DICOM resolution length range (700-3400 pixels), width range (490-3600 pixels).
- poster-anterior view(PA-view) of chest X-ray
Exclusion Criteria:
- The chest X-ray contains items that affect interpretation, such as chest tubes, endotracheal tubes, and heart rhythm regulators, but does not include patches and circuits used in electrocardiograms.
- The chest X-ray that are difficult to interpret due to poor image quality.
To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT05903209
Taiwan | |
Chang Gung memorial hospital | |
Taoyuan City, Taiwan, 333 |
Study Chair: | Chang-Fu Kuo | Associate Professor and Director Division of Rheumatology |
Responsible Party: | Chang Gung Memorial Hospital |
ClinicalTrials.gov Identifier: | NCT05903209 |
Other Study ID Numbers: |
202200871B0 |
First Posted: | June 15, 2023 Key Record Dates |
Last Update Posted: | January 11, 2024 |
Last Verified: | May 2023 |
Individual Participant Data (IPD) Sharing Statement: | |
Plan to Share IPD: | No |
Studies a U.S. FDA-regulated Drug Product: | No |
Studies a U.S. FDA-regulated Device Product: | No |
artificial intelligence |
Pneumothorax Pleural Diseases Respiratory Tract Diseases |