A Prospective Study to Evaluate Clinical Performance of Thermalytix in Detecting Breast Cancers
A Prospective Study to Evaluate the Effectiveness of Thermalytix (AI-based Thermographic Solution Developed by Niramai) for Breast Cancer Screening as Compared to Standard Screening Modalities for Breast Cancer
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Locations
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New Delhi, India, 110017
- Max Healthcare Insititute Limited
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Female subjects equal to and above 18 years
- Subjects who are willing to give written informed consent for study participation
- Subjects who are ready to comply with the study related visits and procedures
Exclusion Criteria:
- Subjects who are pregnant
- Subjects who are lactating
- Subjects who have undergone either lumpectomy or mastectomy
- Subjects who have undergone chemotherapy in the last 2 weeks at the time of study enrollment
- Any active illness, psychological and/or pathological condition that would interfere with study participation in the opinion of the Investigator
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
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Women with no personal history of breast cancer
Women who came in for a breast mammography between ages 30 and 80 years were invited to take part in the study.
All the women included in the study underwent breast cancer screening first by Thermalytix, the AI-based thermal imaging test, followed by mammography.
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Thermalytix is an Artificial intelligence based automated breast screening solution that analyzes thermal distribution on the breast to generate a breast health score automatically.
Thermal imaging was performed by a trained technician to capture thermal images of the participant in five views.
These thermal images were uploaded to Thermalytix software on the cloud where it was automatically analyzed by AI-based Thermalytix computer-aided detection (CADe) engine.
This CADe engine analyzes uploaded thermal images and outputs an interpretation report for each participant with quantitative scores corresponding to computed probability of malignancy based on the structural, vascular, areolar, thermal properties of the observed abnormality.
Thermalytix also generates annotated images with markings of abnormal regions and an overall Thermalytix score suggesting likelihood of breast malignancy.
The locked AI model Thermalytix algorithm version 3, dated December 2018 was used for the analysis.
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Sensitivity, Specificity, Positive Predictive Value and Negative Predictive Value of Thermalytix
Time Frame: 2 days
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To assess the clinical performance of Thermalytix as compared to standard screening modalities. Sensitivity, specificity, positive predictive value and negative predictive value of Thermalytix |
2 days
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Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Sensitivity and Specificity of Thermalytix for Women With Dense Breast Tissue (ACR Category C or D)
Time Frame: 2 days
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To assess the influence of patient characteristics (Breast density) on the diagnostic accuracy of Thermalytix.
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2 days
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Sensitivity and Specificity of Thermalytix in Women With Breast Density ACR Category "A" or "B"
Time Frame: 2 days
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To assess the influence of patient characteristics (Breast density) on the diagnostic accuracy of Thermalytix. Sensitivity and Specificity of Thermalytix in Women with Fatty Breasts - Breast Density ACR category "A" or "B" |
2 days
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Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Richa Bansal, MD, Max Healthcare Insititute Limited
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- NIR-THERMA-02
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
IPD Sharing Time Frame
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- CSR
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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