JOURNAL ARTICLE

Noninvasive Characterization of Locally Advanced Breast Cancer Using Textural Analysis of Quantitative Ultrasound Parametric Images

Hadi TadayyonAli Sadeghi‐NainiGregory J. Czarnota

Year: 2014 Journal:   Translational Oncology Vol: 7 (6)Pages: 759-767   Publisher: Elsevier BV

Abstract

Textural characteristics of quantitative ultrasound spectral parametric maps provided discriminant information about different types of breast tumors. The use of texture features significantly improved the results of ultrasonic tumor characterization compared to conventional mean values. Thus, this study suggests that texture-based quantitative ultrasound analysis of in vivo breast tumors can provide complementary diagnostic information about tumor histologic characteristics.

Keywords:
Breast cancer Ultrasound Characterization (materials science) Medicine Parametric statistics Radiology Cancer Biomedical engineering Materials science Internal medicine Mathematics

Metrics

56
Cited By
8.21
FWCI (Field Weighted Citation Impact)
46
Refs
0.97
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

AI in cancer detection
Physical Sciences →  Computer Science →  Artificial Intelligence
Radiomics and Machine Learning in Medical Imaging
Health Sciences →  Medicine →  Radiology, Nuclear Medicine and Imaging
MRI in cancer diagnosis
Health Sciences →  Medicine →  Radiology, Nuclear Medicine and Imaging

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