February 9, 2024Scientific ReportsOpen Access

Breast cancer detection using enhanced IRI-numerical engine and inverse heat transfer modeling: model description and clinical validation

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Authors

CGCarlos Gutiérrez AOAlyssa Owens LMLori Medeiros

Discussion

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Overview

Clinical validation study demonstrates accurate tumor localization using inverse heat transfer modeling in twenty-three patients, highlighting its potential as an adjunct to mammography.

Key Points

Tumor location and size are accurately predicted in twenty-four cancerous breasts using surface temperature, and detection remains completely unaffected by dense breast tissue.
Validation of the enhanced iri numerical engine correctly identified twenty-four malignant breasts and twenty-two healthy contralateral breasts via inverse heat transfer modeling.
Highlights the potential of thermal tools as an effective adjunct to mammography, but large-scale validation in statistically significant clinical samples remains strictly required.

Cite This Study

Gutiérrez et al. (2024) studied this question.

synapsesocial.com/papers/68e7a2cdb6db64358770bc8e https://doi.org/10.1038/s41598-024-53856-w

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February 9, 2024Scientific ReportsOpen Access

Breast cancer detection using enhanced IRI-numerical engine and inverse heat transfer modeling: model description and clinical validation

View Full Paper

Ask AI

Bookmark

Authors

CGCarlos Gutiérrez AOAlyssa Owens LMLori Medeiros

Discussion

Member takes

Overview

Clinical validation study demonstrates accurate tumor localization using inverse heat transfer modeling in twenty-three patients, highlighting its potential as an adjunct to mammography.

Key Points

Tumor location and size are accurately predicted in twenty-four cancerous breasts using surface temperature, and detection remains completely unaffected by dense breast tissue.
Validation of the enhanced iri numerical engine correctly identified twenty-four malignant breasts and twenty-two healthy contralateral breasts via inverse heat transfer modeling.
Highlights the potential of thermal tools as an effective adjunct to mammography, but large-scale validation in statistically significant clinical samples remains strictly required.

Cite This Study

Gutiérrez et al. (2024) studied this question.

synapsesocial.com/papers/68e7a2cdb6db64358770bc8e https://doi.org/10.1038/s41598-024-53856-w

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