Calibration Procedure of Three Component Mammographic Breast Imaging

Malkov, Serghei; Avila, Jesus; Fan, Bo; Joe, Bonnie N.; Kerlikowske, Karla; Giger, Maryellen L.; Drukker, Karen; Drukteinis, Jennifer S.; Kazemi, Leila; Pereira, Malesa; Shepherd, John

doi:10.1007/978-3-319-41546-8_28

Cited by 3 publications

(2 citation statements)

References 10 publications

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“…Absolute accuracy of this technique has been previously verified using reference standards. 19,32 Pathology results were reported on all biopsies and radiologist delineated the mammographic abnormalities on presentation mammogram images. This work reports on results from 349 participants after exclusions.…”

Section: Data Acquisitionmentioning

confidence: 99%

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Dual-energy three compartment breast imaging (3CB) for novel compositional biomarkers to improve detection of malignant lesions

Leong

Malkov

Drukker

et al. 2021

Preprint

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We explore a compositional breast imaging technique known as three compartment breast (3CB) to improve malignancy detection. The addition of 3CB compositional information to computer-aided detection (CAD) software improved malignancy predictions resulting in an area under the receiver operating characteristic curve (AUC) of 0.81 (confidence interval (CI) of 0.74-0.88) on a held-out test set, while CAD software alone achieved an AUC of 0.69 (CI 0.60-0.78). We also identified that invasive breast cancers have a unique compositional signature characterized by reduced lipid content and increased water and protein content when compared to surrounding tissues. Clinically, 3CB may potentially provide increased accuracy in predicting malignancy and a feasible avenue to explore compositional breast imaging biomarkers.

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Section: Data Acquisitionmentioning

confidence: 99%

“…The images were collected under an investigational review board approval to measure breast composition. The calibration standards and 3CB algorithms for generating compositional thickness maps have been previously described in full 32,40 .…”

Section: Cb Imagingmentioning

confidence: 99%

Dual-energy three compartment breast imaging (3CB) for novel compositional biomarkers to improve detection of malignant lesions

Leong

Malkov

Drukker

et al. 2021

Preprint

Self Cite

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Energy Dependence of Water and Lipid Calibration Materials for Three-Compartment Breast Imaging

et al. 2016

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Dual-energy three-compartment breast imaging for compositional biomarkers to improve detection of malignant lesions

et al. 2021

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Background While breast imaging such as full-field digital mammography and digital breast tomosynthesis have helped to reduced breast cancer mortality, issues with low specificity exist resulting in unnecessary biopsies. The fundamental information used in diagnostic decisions are primarily based in lesion morphology. We explore a dual-energy compositional breast imaging technique known as three-compartment breast (3CB) to show how the addition of compositional information improves malignancy detection. Methods Women who presented with Breast Imaging-Reporting and Data System (BI-RADS) diagnostic categories 4 or 5 and who were scheduled for breast biopsies were consecutively recruited for both standard mammography and 3CB imaging. Computer-aided detection (CAD) software was used to assign a morphology-based prediction of malignancy for all biopsied lesions. Compositional signatures for all lesions were calculated using 3CB imaging and a neural network evaluated CAD predictions with composition to predict a new probability of malignancy. CAD and neural network predictions were compared to the biopsy pathology. Results The addition of 3CB compositional information to CAD improves malignancy predictions resulting in an area under the receiver operating characteristic curve (AUC) of 0.81 (confidence interval (CI) of 0.74–0.88) on a held-out test set, while CAD software alone achieves an AUC of 0.69 (CI 0.60–0.78). We also identify that invasive breast cancers have a unique compositional signature characterized by reduced lipid content and increased water and protein content when compared to surrounding tissues. Conclusion Clinically, 3CB may potentially provide increased accuracy in predicting malignancy and a feasible avenue to explore compositional breast imaging biomarkers.

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Calibration Procedure of Three Component Mammographic Breast Imaging

Cited by 3 publications

References 10 publications

Dual-energy three compartment breast imaging (3CB) for novel compositional biomarkers to improve detection of malignant lesions

Dual-energy three compartment breast imaging (3CB) for novel compositional biomarkers to improve detection of malignant lesions

Energy Dependence of Water and Lipid Calibration Materials for Three-Compartment Breast Imaging

Dual-energy three-compartment breast imaging for compositional biomarkers to improve detection of malignant lesions

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