Use of Quantitative Morphological and Functional Features for Assessment of Axillary Lymph Node in Breast Dynamic Contrast-Enhanced Magnetic Resonance Imaging

BioMed Research International
Roberta FuscoAntonella Petrillo

Abstract

Axillary lymph-node assessment is considered one of the most important prognostic factors concerning breast cancer survival. We investigated the discriminative power of morphological and functional features in assessing the axillary lymph node. We retrospectively analysed data from 52 consecutive patients who undergone DCE-MRI and were diagnosed with primary breast carcinoma: 94 lymph nodes were identified. Per each lymph node, we extracted morphological features: circularity, compactness, convexity, curvature, elongation, diameter, eccentricity, irregularity, radial length, entropy, rectangularity, roughness, smoothness, sphericity, spiculation, surface, and volume. Moreover, we extracted functional features: time to peak (TTP), maximum signal difference (MSD), wash-in intercept (WII), wash-out intercept (WOI), wash-in slope (WIS), wash-out slope (WOS), area under gadolinium curve (AUGC), area under wash-in (AUWI), and area under wash-out (AUWO). Selection of important features in predicting metastasis has been done by means of receiver operating characteristic (ROC) analysis. Performance of linear discriminant analysis was analysed. All morphological features but circularity showed a significant difference between median valu...Continue Reading

References

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Sep 5, 2015·BioMed Research International·Roberta FuscoAntonella Petrillo
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Sep 23, 2016·Journal of medical and biological engineering·Roberta FuscoAntonella Petrillo

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Citations

Jul 6, 2019·Journal of Magnetic Resonance Imaging : JMRI·Beatriu ReigLinda Moy
Sep 24, 2020·Cancers·Roberta FuscoAntonella Petrillo
May 21, 2019·SAGE Open Medical Case Reports·Jérôme TessierasYara Banz

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Methods Mentioned

BETA
biopsy
dissection
imaging techniques

Software Mentioned

OsiriX
Matlab

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