Clinical trial · Interventional
Medical Radiometer - RTM - 01 - RES and Its Use in Detecting Hotspots in Female Breast
Early Detection of Breast Disease Using Medical Radiometer - RTM - 01 - RES
NCT02286583CI-TRIAL-00017353RTMunknownN/AClinicalTrials.gov clinicaltrialsProvenance
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
Medical Radiometer depends on detecting the microwaves that radiates from deep structure hot objects in the body. When it comes to the breast, causes of deep structure hot spots are numerous, it can be inflammatory, hormonal or neoplastic. Therefore, the primary objective of this study is to test the sensitivity of the Medical Radiometer in detecting the hot spots in the breast.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Breast Cancer | Malignant Breast Neoplasm | CURATED_EXACT | 0.92 |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Microwave Thermography RTM-01-RES | Device | — | UNRESOLVED |
Design
Arms and outcomes
Arms (1)
- type
- NO_INTERVENTION
- label
- Microwave Thermography RTM-01-RES
- description
- Microwave thermography with sensitive probe that can detect skin and up to 8 cm microwave radiation deep tissues
- interventionNames
- Device: Microwave Thermography RTM-01-RES
Primary outcomes (1)
- measure
- Testing the sensitivity of the Microwave Thermography RTM-01-RES (ability to detect hotspots in breast lesions)
- timeFrame
- 6 months
- description
- Ability of the Microwave Thermography RTM-01-RES to detect hotspots in the various breast lesions.
Secondary outcomes (1)
- measure
- Study the Temperature pattern
- timeFrame
Eligibility
Eligibility (as posted)
- Sex
- Female
Show eligibility criteria text
Inclusion Criteria: * The perfect sample should be 2000 females or more. * 50 % already diagnosed breast cancer of any type * 30% normal thought to be healthy females. * 10% lactating * 10% different breast diseases Exclusion Criteria: * Menstruating females.
References
Publications (0)
Data not yet available
No reference posted for this study.