Literature DB >> 12203765

Differentiation of clinically benign and malignant breast lesions using diffusion-weighted imaging.

Yong Guo1, You-Quan Cai, Zu-Long Cai, Yuan-Gui Gao, Ning-Yu An, Lin Ma, Srikanth Mahankali, Jia-Hong Gao.   

Abstract

PURPOSE: To evaluate the value of diffusion-weighted imaging (DWI) in distinguishing between benign and malignant breast lesions.
MATERIALS AND METHODS: Fifty-two female subjects (mean age = 58 years, age range = 25-75 years) with histopathologically proven breast lesions underwent DWI of the breasts with a single-shot echo-planar imaging (EPI) sequence using large b values. The computed mean apparent diffusion coefficients (ADCs) of the breast lesions and cell density were then correlated.
RESULTS: The ADCs varied substantially between benign breast lesions ((1.57 +/- 0.23) x 10(-3) mm(2)/second) and malignant breast lesions ((0.97 +/- 0.20) x 10(-3) mm(2)/second). In addition, the mean ADCs of the breast lesions correlated well with tumor cellularity (P < 0.01, r = -0.542).
CONCLUSION: The ADC would be an effective parameter in distinguishing between malignant and benign breast lesions. Further, tumor cellularity has a significant influence on the ADCs obtained in both benign and malignant breast tumors. Copyright 2002 Wiley-Liss, Inc.

Entities:  

Mesh:

Year:  2002        PMID: 12203765     DOI: 10.1002/jmri.10140

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  227 in total

1.  Multiparametric magnetic resonance imaging for predicting pathological response after the first cycle of neoadjuvant chemotherapy in breast cancer.

Authors:  Xia Li; Richard G Abramson; Lori R Arlinghaus; Hakmook Kang; Anuradha Bapsi Chakravarthy; Vandana G Abramson; Jaime Farley; Ingrid A Mayer; Mark C Kelley; Ingrid M Meszoely; Julie Means-Powell; Ana M Grau; Melinda Sanders; Thomas E Yankeelov
Journal:  Invest Radiol       Date:  2015-04       Impact factor: 6.016

2.  Comparative analysis of nonlinear dimensionality reduction techniques for breast MRI segmentation.

Authors:  Alireza Akhbardeh; Michael A Jacobs
Journal:  Med Phys       Date:  2012-04       Impact factor: 4.071

3.  [Functional and molecular imaging of breast tumors].

Authors:  K Pinker; P Brader; G Karanikas; K El-Rabadi; W Bogner; S Gruber; M Reisegger; S Trattnig; T H Helbich
Journal:  Radiologe       Date:  2010-11       Impact factor: 0.635

4.  Diffusion tensor magnetic resonance imaging of the breast: a pilot study.

Authors:  Pascal A T Baltzer; Anja Schäfer; Matthias Dietzel; David Grässel; Mieczyslaw Gajda; Oumar Camara; Werner A Kaiser
Journal:  Eur Radiol       Date:  2010-07-29       Impact factor: 5.315

5.  Nonmalignant breast lesions: ADCs of benign and high-risk subtypes assessed as false-positive at dynamic enhanced MR imaging.

Authors:  Sana Parsian; Habib Rahbar; Kimberly H Allison; Wendy B Demartini; Matthew L Olson; Constance D Lehman; Savannah C Partridge
Journal:  Radiology       Date:  2012-10-02       Impact factor: 11.105

6.  Diffusion-weighted imaging of breast lesions: Region-of-interest placement and different ADC parameters influence apparent diffusion coefficient values.

Authors:  Hubert Bickel; Katja Pinker; Stephan Polanec; Heinrich Magometschnigg; Georg Wengert; Claudio Spick; Wolfgang Bogner; Zsuzsanna Bago-Horvath; Thomas H Helbich; Pascal Baltzer
Journal:  Eur Radiol       Date:  2016-08-30       Impact factor: 5.315

7.  Feasibility of single-voxel MRS measurement of apparent diffusion coefficient of water in breast tumors.

Authors:  C A Corum; A D McIntosh; P J Bolan; M Nelson; A L Snyder; N J Powell; J Boyum; T H Emory; D Yee; T M Tuttle; L I Everson; M Garwood
Journal:  Magn Reson Med       Date:  2009-05       Impact factor: 4.668

Review 8.  Whole-body diffusion-weighted and proton imaging: a review of this emerging technology for monitoring metastatic cancer.

Authors:  Michael A Jacobs; Li Pan; Katarzyna J Macura
Journal:  Semin Roentgenol       Date:  2009-04       Impact factor: 0.800

9.  Biophysical Modeling of In Vivo Glioma Response After Whole-Brain Radiation Therapy in a Murine Model of Brain Cancer.

Authors:  David A Hormuth; Jared A Weis; Stephanie L Barnes; Michael I Miga; Vito Quaranta; Thomas E Yankeelov
Journal:  Int J Radiat Oncol Biol Phys       Date:  2017-12-13       Impact factor: 7.038

10.  Utility of Diffusion-weighted Imaging to Decrease Unnecessary Biopsies Prompted by Breast MRI: A Trial of the ECOG-ACRIN Cancer Research Group (A6702).

Authors:  Habib Rahbar; Zheng Zhang; Thomas L Chenevert; Justin Romanoff; Averi E Kitsch; Lucy G Hanna; Sara M Harvey; Linda Moy; Wendy B DeMartini; Basak Dogan; Wei T Yang; Lilian C Wang; Bonnie N Joe; Karen Y Oh; Colleen H Neal; Elizabeth S McDonald; Mitchell D Schnall; Constance D Lehman; Christopher E Comstock; Savannah C Partridge
Journal:  Clin Cancer Res       Date:  2019-01-15       Impact factor: 12.531

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