Differentiation between Benign and Malignant Breast Lesions Using ADC on Diffusion-Weighted Imaging at 3.0 T

ISSN Print: 2164-3024
ISSN Online: 2164-3032
www.scirp.net/journal/ojrad
E-mail: [email protected]

Citations

"Differentiation between Benign and Malignant Breast Lesions Using ADC on Diffusion-Weighted Imaging at 3.0 T"
written by Vikash Kr Gupta, Wanhua Liu, Rui Wang, Yuanyuan Ye, Jing Jiang,
published by Open Journal of Radiology, Vol.6 No.1, 2016

has been cited by the following article(s):

[1]	A Prospective Study of Predicting the Nuclear Grade of Breast Cancer Using Diffusion Weighted Imaging: An Institutional Based Study
	European Journal of …, 2022

[2]	Diffusion weighted imaging in breast cancer–Can it be a noninvasive predictor of nuclear grade?
	2020

[3]	Synthesis, characterization, antimicrobial evaluation and toxicity testing of new 5-(p-chlorobenzylidene)-2-imino-3-(aryl/substituted aryl)-1-thiazolidin-4-ones
	2020

[4]	A Clinical Approach to Diffusion-Weighted Magnetic Resonance Imaging in Evaluating Chest Wall Invasion of Breast Tumors
	2019

[5]	Skewness and Kurtosis of Apparent Diffusion Coefficient in Human Brain Lesions to Distinguish Benign and Malignant Using MRI
	2018

[6]	An Apparent Diffusion Coefficient Histogram Method Versus a Traditional 2-Dimensional Measurement Method for Identifying Non–Puerperal Mastitis From Breast …
	Journal of Computer Assisted Tomography, 2018

[1]	Diffusion weighted imaging in breast cancer – Can it be a noninvasive predictor of nuclear grade? Indian Journal of Radiology and Imaging, 2020 DOI:10.4103/ijri.IJRI_97_19

[2]	A Clinical Approach to Diffusion-Weighted Magnetic Resonance Imaging in Evaluating Chest Wall Invasion of Breast Tumors Journal of Clinical Imaging Science, 2019 DOI:10.25259/JCIS_97_18

[3]	Recent Trends in Image Processing and Pattern Recognition Communications in Computer and Information Science, 2019 DOI:10.1007/978-981-13-9184-2_17

[4]	An Apparent Diffusion Coefficient Histogram Method Versus a Traditional 2-Dimensional Measurement Method for Identifying Non–Puerperal Mastitis From Breast Cancer at 3.0 T Journal of Computer Assisted Tomography, 2018 DOI:10.1097/RCT.0000000000000758

Top