Ignite Creation Date:
2025-12-24 @ 7:21 PM
Ignite Modification Date:
2025-12-30 @ 4:29 PM
Study NCT ID:
NCT06898203
Status:
RECRUITING
Last Update Posted:
2025-07-24
First Post:
2025-03-20
Is NOT Gene Therapy:
True
Has Adverse Events:
False
Brief Title:
Precision Imaging to Evaluate Kaposi Sarcoma
Sponsor:
Washington University School of Medicine
Organization:
Study Overview
Official Title:
Precision Imaging to Evaluate Kaposi Sarcoma (PRIME-KS)
Status:
RECRUITING
Status Verified Date:
2025-07
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
PRIME-KS
Brief Summary:
AIM 1:
In Uganda and Kenya, Kaposi Sarcoma (KS) is one of the most common cancers and a leading cause of cancer-related deaths in men. However, tracking how well patients are responding to treatment is challenging, especially in busy clinics. Doctors must measure the size and changes in the areas affected by the cancer by hand, which can take a lot of time and can vary depending on the doctor. This method does not work well for patients with dark skin, which can lead to biases in treatment compared to patients with fairer skin.
To solve this problem, the investigators suggest the use of a simple, low-cost device that uses Artificial Intelligence (AI), the SkinScan3D (SS3D) device, to measure the cancer spots accurately and monitor changes over time. The goal of this study is to improve the SkinScan3D (SS3D) tool and the how it is used. The investigators will do this by talking to healthcare workers and patients, giving them surveys, and holding design workshops. The feedback from these activities will be shared with the device maker and local research teams to make the device better and ensure it is used properly.
AIMS 2 \& 3:
In this study the investigators seek to formally compare reproducibility and accuracy of KS lesion size measurements between SkinScan3D and the current standard of care manual measurement method. The investigators will then test the SS3D device on 100 patients in a variety of real-world practice locations to determine whether the device will be usable, acceptable, appropriate, and feasible in routine care settings.
In Uganda and Kenya, Kaposi Sarcoma (KS) is one of the most common cancers and a leading cause of cancer-related deaths in men. However, tracking how well patients are responding to treatment is challenging, especially in busy clinics. Doctors must measure the size and changes in the areas affected by the cancer by hand, which can take a lot of time and can vary depending on the doctor. This method does not work well for patients with dark skin, which can lead to biases in treatment compared to patients with fairer skin.
To solve this problem, the investigators suggest the use of a simple, low-cost device that uses Artificial Intelligence (AI), the SkinScan3D (SS3D) device, to measure the cancer spots accurately and monitor changes over time. The goal of this study is to improve the SkinScan3D (SS3D) tool and the how it is used. The investigators will do this by talking to healthcare workers and patients, giving them surveys, and holding design workshops. The feedback from these activities will be shared with the device maker and local research teams to make the device better and ensure it is used properly.
AIMS 2 \& 3:
In this study the investigators seek to formally compare reproducibility and accuracy of KS lesion size measurements between SkinScan3D and the current standard of care manual measurement method. The investigators will then test the SS3D device on 100 patients in a variety of real-world practice locations to determine whether the device will be usable, acceptable, appropriate, and feasible in routine care settings.
Detailed Description:
None
Study Oversight
Has Oversight DMC:
False
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
False
Is an FDA AA801 Violation?:
Secondary ID Infos
| Secondary ID | Type | Domain | Link | View |
|---|---|---|---|---|
| U01CA292765 | NIH | None | https://reporter.nih.gov/quic… | View |