Validity of Pleural Effusion Detection Software

NCT ID: NCT05903287

Last Updated: 2024-01-11

Study Results

Results pending

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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Recruitment Status

UNKNOWN

Total Enrollment

282 participants

Study Classification

OBSERVATIONAL

Study Start Date

2023-06-17

Study Completion Date

2024-08-12

Brief Summary

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The Chang Gung Pleural Effusion Detection Software is a medical software that can automatically detect whether there is a pleural effusion in Chest X-Ray. The purpose of this study is to verify whether the Chang Gung Pleural Effusion Detection Software can correctly identify patients with pleural effusion in Chest X-Ray. The results of the software analysis will be used for the performance of the software on the primary and secondary outcomes.

Detailed Description

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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, 2018 to December 31, 2020. After confirming that the Chest X-Ray that meet the inclusion and exclusion criteria are correct, 282 samples will be sampled for this test, including 141 images with pleural effusion and 141 images without pleural effusion. The image must be in DICOM format.

Then, 3 specialists physicians interpret 282 samples whether there were pleural effusion, and the result was the standard of this study (Reference standard). After determining the reference standard of each Chest X-Ray, the 282 samples were input into the Chang Gung Pleural Effusion Detection Software, and analyzed by the primary and secondary outcomes.

Conditions

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Pleural Effusion

Study Design

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Observational Model Type

CASE_CONTROL

Study Time Perspective

RETROSPECTIVE

Study Groups

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Software diagnosis

Software diagnosis with gold standard of 3 specialist physicians' interpretation.

Chang Gung Pleural Effusion Detection Software

Intervention Type DEVICE

The Chang Gung Pleural Effusion Detection Software is an independent software as a medical device, which inputs digital Chest X-Ray to automatically detect whether there is a pleural effusion. The inferred results output by this software can assist clinicians or professional medical personnel to identify whether a patient has pleural effusion.

This product is only used to analyze the digitized Chest X-Ray DICOM of patients over 20 years old and under 100 years old.

Interventions

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Chang Gung Pleural Effusion Detection Software

The Chang Gung Pleural Effusion Detection Software is an independent software as a medical device, which inputs digital Chest X-Ray to automatically detect whether there is a pleural effusion. The inferred results output by this software can assist clinicians or professional medical personnel to identify whether a patient has pleural effusion.

This product is only used to analyze the digitized Chest X-Ray DICOM of patients over 20 years old and under 100 years old.

Intervention Type DEVICE

Eligibility Criteria

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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.
Minimum Eligible Age

20 Years

Maximum Eligible Age

100 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Chang Gung Memorial Hospital

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Chang-Fu Kuo, MD/Ph.D

Role: STUDY_CHAIR

Associate Professor and Director Division of Rheumatology

Locations

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Chang Gung memorial hospital

Taoyuan, , Taiwan

Site Status

Countries

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Taiwan

References

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Ahn JS, Ebrahimian S, McDermott S, Lee S, Naccarato L, Di Capua JF, Wu MY, Zhang EW, Muse V, Miller B, Sabzalipour F, Bizzo BC, Dreyer KJ, Kaviani P, Digumarthy SR, Kalra MK. Association of Artificial Intelligence-Aided Chest Radiograph Interpretation With Reader Performance and Efficiency. JAMA Netw Open. 2022 Aug 1;5(8):e2229289. doi: 10.1001/jamanetworkopen.2022.29289.

Reference Type BACKGROUND
PMID: 36044215 (View on PubMed)

Lachin JM. Properties of simple randomization in clinical trials. Control Clin Trials. 1988 Dec;9(4):312-26. doi: 10.1016/0197-2456(88)90046-3.

Reference Type BACKGROUND
PMID: 3203523 (View on PubMed)

Suresh K. An overview of randomization techniques: An unbiased assessment of outcome in clinical research. J Hum Reprod Sci. 2011 Jan;4(1):8-11. doi: 10.4103/0974-1208.82352.

Reference Type BACKGROUND
PMID: 21772732 (View on PubMed)

Lim CY, In J. Randomization in clinical studies. Korean J Anesthesiol. 2019 Jun;72(3):221-232. doi: 10.4097/kja.19049. Epub 2019 Apr 1.

Reference Type BACKGROUND
PMID: 30929415 (View on PubMed)

Other Identifiers

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202300606A5

Identifier Type: -

Identifier Source: org_study_id

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