Literature DB >> 16127252

ADC mapping of benign and malignant breast tumors.

Reiko Woodhams1, Keiji Matsunaga, Shinichi Kan, Hirofumi Hata, Masanori Ozaki, Keiichi Iwabuchi, Masaru Kuranami, Masahiko Watanabe, Kazushige Hayakawa.   

Abstract

PURPOSE: The purpose of this study was to investigate the utility of diffusion-weighted imaging (DWI) and the apparent diffusion coefficient (ADC) value in differentiating benign and malignant breast lesions and evaluating the detection accuracy of the cancer extension.
MATERIALS AND METHODS: We used DWI to obtain images of 191 benign and malignant lesions (24 benign, 167 malignant) before surgical excision. The ADC values of the benign and malignant lesions were compared, as were the values of noninvasive ductal carcinoma (NIDC) and invasive ductal carcinoma (IDC). We also evaluated the ADC map, which represents the distribution of ADC values, and compared it with the cancer extension.
RESULTS: The mean ADC value of each type of lesion was as follows: malignant lesions, 1.22+/-0.31 x 10(-3) mm2/s; benign lesions, 1.67+/-0.54 x 10(-3) mm2/s; normal tissues, 2.09+/-0.27 x 10(-3) mm2/s. The mean ADC value of the malignant lesions was statistically lower than that of the benign lesions and normal breast tissues. The ADC value of IDC was statistically lower than that of NIDC. The sensitivity of the ADC value for malignant lesions with a threshold of less than 1.6 x 10(-3) mm2/s was 95% and the specificity was 46%. A full 75% of all malignant cases exhibited a near precise distribution of low ADC values on ADC maps to describe malignant lesions. The main causes of false negative and underestimation of cancer spread were susceptibility artifact because of bleeding and tumor structure. Major histologic types of false-positive lesions were intraductal papilloma and fibrocystic diseases. Fibrocystic diseases also resulted in overestimation of cancer extension.
CONCLUSIONS: DWI has the potential in clinical appreciation to detect malignant breast tumors and support the evaluation of tumor extension. However, the benign proliferative change remains to be studied as it mimics the malignant phenomenon on the ADC map.

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Mesh:

Year:  2005        PMID: 16127252     DOI: 10.2463/mrms.4.35

Source DB:  PubMed          Journal:  Magn Reson Med Sci        ISSN: 1347-3182            Impact factor:   2.471


  104 in total

1.  (1)H MR spectroscopy with external reference solution at 1.5 T for differentiating malignant and benign breast lesions: comparison using qualitative and quantitative approaches.

Authors:  Waka Mizukoshi; Eito Kozawa; Kaiji Inoue; Naoko Saito; Naoko Nishi; Toshiaki Saeki; Fumiko Kimura
Journal:  Eur Radiol       Date:  2012-07-10       Impact factor: 5.315

2.  [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

3.  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

4.  Diffusion-weighted magnetic resonance imaging in focal breast lesions: analysis of 78 cases with pathological correlation.

Authors:  F Fornasa; L Pinali; A Gasparini; E Toniolli; S Montemezzi
Journal:  Radiol Med       Date:  2010-10-06       Impact factor: 3.469

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.  [Therapy monitoring of neoadjuvant therapy with MRI. RECIST and functional imaging].

Authors:  S Grandl; M Ingrisch; K Hellerhoff
Journal:  Radiologe       Date:  2014-03       Impact factor: 0.635

8.  Case of the season: a giant fibroadenoma in the guise of a phyllodes tumor; characterization role of MRI.

Authors:  Riham H El Khouli; Adeline Louie
Journal:  Semin Roentgenol       Date:  2009-04       Impact factor: 0.800

9.  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

10.  Contrast-enhanced dynamic and diffusion-weighted magnetic resonance imaging at 3.0 T to assess early-stage nasopharyngeal carcinoma.

Authors:  Liangping Ni; Ying Liu
Journal:  Oncol Lett       Date:  2018-02-05       Impact factor: 2.967

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