JRCT ID: jRCT1032220090
Registered date:25/05/2022
Performance evaluation of CAD software to support the detection of chronic fibrosing interstitial lung diseases by chest simple X-ray imaging
Basic Information
Recruitment status | Complete |
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Health condition(s) or Problem(s) studied | Chronic fibrosing interstitial lung diseases |
Date of first enrollment | 08/06/2022 |
Target sample size | 1000 |
Countries of recruitment | |
Study type | Observational |
Intervention(s) |
Outcome(s)
Primary Outcome | A paired t-test is performed on the AUC in the ROC curve with and without CAD based on the "reading judgment result" of a non-specialist, and a significant improvement with CAD is examined. |
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Secondary Outcome |
Key inclusion & exclusion criteria
Age minimum | >= 20age old |
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Age maximum | Not applicable |
Gender | Both |
Include criteria | 1. Images of patients who have been continuously followed up based on imaging findings, subjective symptoms, objective findings, and other test results since the first visit. 2. Images of patients who obtained written or oral informed consent by May 2022 after the approval of this study by the Institutional Review Board at each image collection medical institution.Or images other than the patient who expressed refusal about the image specifications in this study during the same period. 3. Image of a patient over 20 years old at the time of imaging the target image 4. Simple chest X-ray images taken at an imaging medical institution for 6 consecutive months between January 2000 and May 2022 5. Images taken from 100 cm to 200 cm from the X-ray source to the film 6. An image with 1750 x 1750 pixels or more 7. Images that do not deviate from the correction process used in normal medical care |
Exclude criteria | 1. Image with incomplete DICOM information 2. Images not taken in a standing position 3. Images that may be difficult to read due to artifacts, etc. 4. Other images that the principal investigator of the image collection medical institution deems inappropriate |
Related Information
Primary Sponsor | Honda Seiwa |
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Secondary Sponsor | |
Source(s) of Monetary Support | |
Secondary ID(s) |
Contact
Public contact | |
Name | Seiwa Honda |
Address | 1-11-44, Akasaka, Minato-ku, Tokyo Tokyo Japan 107-0052 |
Telephone | +81-3-6229-8900 |
s-honda@m3.com | |
Affiliation | M3, Inc. |
Scientific contact | |
Name | Seiwa Honda |
Address | 1-11-44, Akasaka, Minato-ku, Tokyo Tokyo Japan 107-0052 |
Telephone | +81-3-6229-8900 |
s-honda@m3.com | |
Affiliation | M3, Inc. |