Assessing the performance of morphological parameters in distinguishing breast tumors on ultrasound images

Medical Engineering & Physics
André V AlvarengaCarolina M Azevedo

Abstract

This work aims at investigating seven morphological parameters in distinguishing malignant and benign breast tumors on ultrasound images. Linear discriminant analysis was applied to sets of up to five parameters and then the performances were assessed using the area Az (+/- standard error) under the ROC curve, accuracy (Ac), sensitivity (Se), specificity (Sp), positive predictive value and negative predictive value. The most relevant individual parameters were the normalized residual value (nrv) and overlap ratio (RS), both calculated from the convex polygon technique, and the circularity (C). When nrv and C were taken together with roughness (R), calculated from normalized radial length (NRL), a performance slightly over 83% in distinguishing malignant and benign breast tumors was achieved.

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Citations

Jan 25, 2012·IEEE Transactions on Medical Imaging·Tao TanNico Karssemeijer
Jun 28, 2017·Journal of Medical Imaging·Kadayanallur Mahadevan PrabusankarlalRadhakrishnan Manavalan
Dec 24, 2019·Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine·Michal ByraSameer Shah
Jan 25, 2020·Current Medical Imaging Reviews·Rajendaran VairavanVithyacharan Retnasamy
Jan 28, 2017·Computational and Mathematical Methods in Medicine·Mohammad I DaoudRami Alazrai

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