Technology, application and potential of dynamic breast thermography for the detection of breast cancer

被引:76
作者
Gonzalez-Hernandez, Jose-Luis [1 ]
Recinella, Alyssa N. [1 ]
Kandlikar, Satish G. [1 ]
Dabydeen, Donnette [2 ]
Medeiros, Lori [3 ]
Phatak, Pradyumna [4 ,5 ]
机构
[1] Rochester Inst Technol, Dept Mech Engn, 76 Lomb Mem Dr, Rochester, NY 14623 USA
[2] Rochester Gen Hosp Reg, Dept Radiol, 1425 Portland Ave, Rochester, NY 14621 USA
[3] Rochester Gen Breast Ctr, 1425 Portland Ave, Rochester, NY 14621 USA
[4] Rochester Gen Hosp, Dept Med, 1425 Portland Ave, Rochester, NY 14621 USA
[5] Rochester Gen Hosp, Lipson Canc Inst, 1425 Portland Ave, Rochester, NY 14621 USA
基金
美国国家科学基金会;
关键词
Breast cancer detection; Dynamic thermography; Cold challenge; INFRARED THERMOGRAPHY; SURFACE-TEMPERATURE; SKIN; TUMOR; RISK; IDENTIFICATION; MAMMOGRAPHY; DIAGNOSIS; PATIENT; STRESS;
D O I
10.1016/j.ijheatmasstransfer.2018.11.089
中图分类号
O414.1 [热力学];
学科分类号
摘要
Early breast cancer detection improves the chances of survival, increases the options for curative treatment and helps reduce costs. There are a variety of screening techniques available to detect breast cancer such as mammography, magnetic resonance imaging and ultrasound. However, their sensitivities and specificities are suboptimal, especially in breasts with dense tissue. Infrared breast thermography is an adjunct screening technique that has been associated with the detection of early signs of breast cancer. However, its success has been limited. Dynamic infrared thermography was introduced to improve the detection of breast cancer and reduce the false positive and false negative rates. This works reviews the different modalities of dynamic infrared thermography, their advantages, shortcomings and opportunities for future development. This paper also covers recent advances, suggestions and possible directions for future work in the fields of numerical simulations, automatic feature identification and artificial intelligence for improving the detection of breast cancer using dynamic infrared thermography. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:558 / 573
页数:16
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