ThermoBreast - Non-contact Breast Cancer Imaging Using AI-enhanced Thermography.

NCT06266026 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 28000

Last updated 2024-02-20

No results posted yet for this study

Summary

Breast cancer is one of the most worrisome health concerns facing women. Early detection and active patient monitoring are crucial to survival. The chances of a cure are high when detected and treated in the early stages. Standard breast cancer diagnostic methods such as mammography, ultrasound, and MRI have limitations such as ionizing radiation, high false-positive rates, and/or high expenses.

Medical Thermography might overcome these limitations: It is a non-invasive , adjunctive physiologic imaging technology that uses a high-resolution infrared camera and computer processing to produce an image (thermogram) of a patient's skin surface temperatures. It is a non-contact screening method, which does not involve radiation exposure or invasive procedures, and is safe for both the patient and the trained personnel performing the screening. While mammography and ultrasound depend primarily on structural and anatomical variation of the tumor from the surrounding breast tissue, thermography detects pathophysiological changes within the breast such as metabolic and vascular changes caused by cancer. The heat transfer in the body is conducted by the circulatory system; hence, pathologies identified by thermography are generally associated with changes in blood perfusion.

To date, there has been no completed or ongoing large-scale, prospective, multicenter, international study that evaluates the diagnostic performance of thermal video streams coupled with advanced Artificial Intelligence algorithms for early-stage breast cancer screening and diagnosis. The proposed study will be crucial for the development of a new imaging modality that aims to be both cost-effective and to carry a minimal level of risk, facilitating screening of women of all age groups and breast densities, enabling early detection of abnormalities caused by malignant processes and improving patient monitoring.

Conditions

Interventions

DIAGNOSTIC_TEST

ThermoBreast - AI-based evaluation of dynamic breast thermography imaging

Index test: AI-based evaluation of dynamic breast thermography imaging (ThermoBreast). The ThermoBreast evaluation will be performed independently of the routine breast cancer diagnostic evaluation. Some baseline risk variables (e.g. patient age, hormonal status) may be included in the ThermoBreast evaluation. Reference test: Routine breast diagnostics will serve as a reference test against which the ThermoBreast outcome will be compared. Depending on national guidelines and clinical scenarios, routine breast cancer diagnostics can consist of several routine procedures, including clinical examination, ultrasound, mammography, tomosynthesis, MRI, follow-up imaging, biopsy, surgical excision, and histopathologic evaluation. All procedures will be performed as indicated and specified by the respective, current national guidelines.

Sponsors & Collaborators

  • Assuta Medical Centers Ltd.

    collaborator UNKNOWN
  • Hospital of Lithuanian University of Health Sciences Kaunas Clinics

    collaborator UNKNOWN
  • Institut Gustav Roussy

    collaborator UNKNOWN
  • M.D. Anderson Cancer Center

    collaborator OTHER
  • Sheba Medical Center

    collaborator OTHER_GOV
  • The Holy Family Hospital Nazareth

    collaborator UNKNOWN
  • University College Cork

    collaborator OTHER
  • Univerzitetni klinicni center Maribor

    collaborator UNKNOWN
  • Academisch Ziekenhuis Groningen

    collaborator OTHER
  • Technical University of Munich

    collaborator OTHER
  • Technion, Israel Institute of Technology

    collaborator OTHER
  • Vrije Universiteit Brussel

    collaborator OTHER
  • Cancer Patients Europe

    collaborator UNKNOWN
  • University Hospital Heidelberg

    collaborator OTHER
  • ThermoMind Ltd.

    lead INDUSTRY

Principal Investigators

  • Michael Golatta, MD · University Hospital Heidelberg

  • André Pfob, MD · University Hospital Heidelberg

Study Design

Allocation
NA
Purpose
DIAGNOSTIC
Masking
DOUBLE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Sex
FEMALE
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2023-12-11
Primary Completion
2028-12-31
Completion
2029-12-31

Countries

  • Germany

Study Locations

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Entities

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06266026 on ClinicalTrials.gov