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contributor authorRecinella, Alyssa N.
contributor authorGonzalez-Hernandez, Jose-Luis
contributor authorKandlikar, Satish G.
contributor authorDabydeen, Donnette
contributor authorMedeiros, Lori
contributor authorPhatak, Pradyumna
date accessioned2022-02-04T22:54:24Z
date available2022-02-04T22:54:24Z
date copyright2/1/2020 12:00:00 AM
date issued2020
identifier issn2572-7958
identifier otherjesmdt_003_01_011005.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4275677
description abstractBreast cancer is the most prevalent form of cancer in women with over 266,000 new cases diagnosed every year in the United States. The various methods used for breast cancer screening range in accuracy and cost; however, there is no easily reproducible, reliable, low-cost, nonradiative screening modality currently available, especially for dense breast tissue. Steady-state infrared imaging (IRI) is promising in this area as it is unaffected by tissue density and has the potential to detect tumors by measuring and capturing the thermal profile on the breast surface induced by increased blood perfusion and metabolic activity associated with the tumor. In our proposed clinical IRI and simulation approach (CIRIS™), women with biopsy-proven breast cancer are imaged with IRI in the prone position. The prone position is able to provide a thermal profile of the entire breast without any gravitational deformation or thermal abnormalities in the inframammary fold. A digital model, created using clinical images, is thermally simulated through a commercially available software using known tumor characteristics obtained from the available magnetic resonance imaging (MRI) data. The resulting surface thermal profile is compared with the IRI images. In the three cases discussed here, the digital model was able to accurately predict the breast surface temperature distribution, showing the promise of this approach in breast cancer screening. This preliminary work is expected to lead the way for a larger clinical study in the future to establish IRI as an adjunctive screening technique.
publisherThe American Society of Mechanical Engineers (ASME)
titleClinical Infrared Imaging in the Prone Position for Breast Cancer Screening—Initial Screening and Digital Model Validation
typeJournal Paper
journal volume3
journal issue1
journal titleJournal of Engineering and Science in Medical Diagnostics and Therapy
identifier doi10.1115/1.4045319
journal fristpage011005-1
journal lastpage011005-7
page7
treeJournal of Engineering and Science in Medical Diagnostics and Therapy:;2020:;volume( 003 ):;issue: 001
contenttypeFulltext


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