Authors:
Raniya Ketfi
1
;
Zeina Al Masry
1
;
Noureddine Zerhouni
1
;
Catherine Gay
2
and
Christine Devalland
3
Affiliations:
1
SUPMICROTECH, CNRS, Institut FEMTO-ST, 24 rue Alain Savary, Besançon, F-25000, France
;
2
Service de Gynécologie Obstétrique, Hôpital Nord Franche-Comté, 100 Route de Moval, 90400 Trévenans, France
;
3
Service d’Anatomie et Cytologie Pathologiques, Hôpital Nord Franche-Comté, 100 Route de Moval, 90400 Trévenans, France
Keyword(s):
Breast Cancer, Breast Thermography, Breast Cancer Detection, Wearable Devices, Thermal Sensors, Smart Bra, Early Detection.
Abstract:
Breast cancer is the most frequent cause of cancer-related mortalities among women worldwide. Early detection of breast cancer is one of the best approaches to prevent this disease. In some developed countries, the 5-year relative survival rate of breast cancer patients is above 90% due to early prevention. Many early detection tools have been developed and used such as mammography, ultrasounds, and magnetic resonance imaging (MRI). Still, these tools are not always the best in terms of cost, effectiveness, and risk-free. Developing a more effective, risk-free, and affordable technique for breast cancer detection has always been a necessity to increase survivability. Authors have found the potential of non-radiative and non-invasive thermography for anomaly breast detection. This systematic review aims to provide an introduction and guide for smart wearable devices for breast cancer detection using thermal sensors by discussing the advantages of these devices as well as the challenge
s of developing and implementing them. A total of 6 relevant works drawn from 286 papers on the subject were carefully analyzed, and the information was synthesized. The selected papers were synthesized according to the design of the wearable device, its data collection, and classification methodologies. Finally, this review tackles the challenges that come with developing such devices and the great promise and advantages they hold for early breast cancer detection.
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