A Prospective Study to Evaluate Clinical Performance of Thermalytix in Detecting Breast Cancers
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| ClinicalTrials.gov Identifier: NCT04688086 |
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Recruitment Status :
Completed
First Posted : December 29, 2020
Last Update Posted : September 28, 2021
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| Condition or disease | Intervention/treatment |
|---|---|
| Breast Cancer Early Detection of Cancer | Diagnostic Test: Thermalytix |
| Study Type : | Observational |
| Actual Enrollment : | 459 participants |
| Observational Model: | Cohort |
| Time Perspective: | Prospective |
| Official Title: | 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 |
| Actual Study Start Date : | December 15, 2018 |
| Actual Primary Completion Date : | January 6, 2020 |
| Actual Study Completion Date : | January 30, 2020 |
| Group/Cohort | Intervention/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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Diagnostic Test: Thermalytix
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. |
- Sensitivity, specificity, positive predictive value and negative predictive value of Thermalytix [ Time Frame: End of study (1 year) ]To assess the clinical performance of Thermalytix as compared to standard screening modalities
- Sensitivity and specificity of Thermalytix for different patient characteristics [ Time Frame: End of study (1 year) ]To assess the influence of patient characteristics, such as age, menopausal status, breast density on the diagnostic accuracy of Thermalytix. The patient characteristics will be collected through a questionnaire.
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| Ages Eligible for Study: | 18 Years to 80 Years (Adult, Older Adult) |
| Sexes Eligible for Study: | Female |
| Gender Based Eligibility: | Yes |
| Gender Eligibility Description: | The participant eligibility is based on self-representation of gender identity |
| Accepts Healthy Volunteers: | Yes |
| Sampling Method: | Non-Probability Sample |
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
To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT04688086
| India | |
| Max Healthcare Insititute Limited | |
| New Delhi, India, 110017 | |
| Principal Investigator: | Richa Bansal, MD | Max Healthcare Insititute Limited |
| Responsible Party: | Niramai Health Analytix Private Limited |
| ClinicalTrials.gov Identifier: | NCT04688086 |
| Other Study ID Numbers: |
NIR-THERMA-02 |
| First Posted: | December 29, 2020 Key Record Dates |
| Last Update Posted: | September 28, 2021 |
| Last Verified: | September 2021 |
| Individual Participant Data (IPD) Sharing Statement: | |
| Plan to Share IPD: | Yes |
| Plan Description: | The study protocol and clinical study report will be made available to investigators from academic institutions for non-commercial use and whose proposed use of the data has been approved by an independent review committee. The individual participant data would be shared for meta-analysis. |
| Supporting Materials: |
Study Protocol Clinical Study Report (CSR) |
| Time Frame: | 9 months after publication of results and ending 20 months following article publication, subject to approval from the Sponsor. |
| Studies a U.S. FDA-regulated Drug Product: | No |
| Studies a U.S. FDA-regulated Device Product: | No |
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Breast cancer Thermography Thermalytix Artificial Intelligence Machine Learning |
Dense Breasts Breast Density Mammography Breast Cancer Screening |
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Breast Neoplasms Neoplasms by Site Neoplasms Breast Diseases Skin Diseases |

