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Testing a WearabLE Artificial Intelligence-POwered Device For OPtimal DAily RaDiation Therapy Using Image Guidance

Testing a WearabLE Artificial Intelligence-POwered Device For OPtimal DAily RaDiation Therapy Using Image Guidance

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06820385
Acronym
LEOPARD-IG
Enrollment
15
Registered
2025-02-11
Start date
2025-05-02
Completion date
2026-10-30
Last updated
2026-09-15

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Pelvic Malignancies

Keywords

Device feasibility study

Brief summary

This is a device feasibility study to determine the feasibility of automatically predicting time to treatment readiness using a wearable imaging device (Fullyet) in both healthy volunteers and patients with pelvic malignancies undergoing radiation therapy.

Detailed description

The purpose of this study is to test an experimental wearable, ultrasound-based device to measure the fullness of the bladder. In order to protect organs at risk of damage, treatment timing with pelvic radiation depends on a full bladder each day. Right now, people drink water and guess when their bladders are full. Each day, CT scans are taken immediately before radiation treatment to look at the size and shape of the bladder and rectum. Up to 50% of patients are not ready for treatment. They must return to the waiting area to fill their bladder. Over a typical course of fractionated radiation therapy, patients require five to six extra scans to make sure that the bladder is ready for treatment. Delays can cause stress and anxiety for the patient, as well as the administration of unnecessary CT scans resulting in higher radiation exposure.

Interventions

DEVICEFullyet Device and CT Scans

Cancer patients will wear the Fullyet Device. Real-time data will go to the patient and radiation therapy team. When the Fullyet Device indicates that the bladder is at optimal size, the radiation oncology team will get the patient. The patient will then have a CT scan.

DEVICEFullyet Device and MRI Scans

Healthy volunteers will first have an MRI scan. Then, they will wear the Fullyet Device. They will have up to two more MRIs to confirm bladder volume.

Sponsors

Medical College of Wisconsin
Lead SponsorOTHER

Study design

Allocation
NON_RANDOMIZED
Intervention model
PARALLEL
Primary purpose
SCREENING
Masking
NONE

Intervention model description

This study will enroll cancer patients who receive CT scans and healthy volunteers who receive MRI scans.

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

1. Age ≥18 years. 2. Ability to voluntarily drink water and fill an intact bladder preparing for radiation treatment. 3. Patients (not healthy volunteers) can have any pelvic malignancy (e.g., rectal cancer, prostate cancer, bladder cancer, cervical cancer, anal cancer, endometrial cancer, sarcoma, bone metastatic lesions) being treated with radiation therapy. 4. Ability to understand a written informed consent document, and the willingness to sign it.

Exclusion criteria

1. Prior allergic reaction to ultrasound gel, which is composed of water and propylene glycol. 2. Inability to place device on skin (excessive hair or body habitus that is prohibitive).

Design outcomes

Primary

MeasureTime frameDescription
The number of events showing feasibilityUp to 2 monthsThe feasibility of acquiring and assessing relative bladder volume and morphology will be measured using the Fullyet wearable imaging device and compared to CT (for patients) or MRI (for healthy volunteers). Specifically, feasibility will be the number of events showing successful data acquisition. A successful data acquisition event refers to the device's ability to approximate bladder size to that measured on the daily cone beam CT (for patients) or MRI (for health volunteers) to approximately ±30%.

Countries

United States

Contacts

CONTACTMedical College of Wisconsin Cancer Center Clinical Trials Office
cccto@mcw.edu866-680-0505
PRINCIPAL_INVESTIGATORKevin Rogacki, MD

Medical College of Wisconsin

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Sep 16, 2026