Literature DB >> 22161277

Diffusion-weighted imaging (b value = 1500 s/mm(2)) is useful to decrease false-positive breast cancer cases due to fibrocystic changes.

Miho Ochi1, Toshiro Kuroiwa, Shunya Sunami, Junji Murakami, Shinichiro Miyahara, Takashi Nagaie, Masafumi Oya, Hidetake Yabuuchi, Masamitsu Hatakenaka.   

Abstract

BACKGROUND: We aimed to evaluate the application of apparent diffusion coefficient (ADC) values calculated from diffusion-weighted imaging (DWI) (b value = 1500 s/mm(2)) in the breast imaging reporting and data system (BI-RADS).
METHODS: For 104 cases of breast lesions with definitive histology diagnosis (45 benign cases, 59 malignant cases) in which breast magnetic resonance imaging was performed, ADC values were compared between benign and malignant cases, between ductal carcinoma in situ (DCIS) and fibrocystic changes, and between DCIS and ductal hyperplasia (one type of fibrocystic change). Diagnostic accuracy was compared for a total of 101 images and for 34 images including only nine DCIS and 25 fibrocystic changes between BI-RADS alone (with categories 4a, 4b, and 5 defined as malignancies) and BI-RADS plus ADC.
RESULTS: There were significant differences in mean ADC values between malignant and benign cases (p < 0.0001) and between DCIS and fibrocystic changes (p < 0.002), but not between DCIS and ductal hyperplasia. Positive predictive values were significantly greater for BI-RADS plus ADC than for BI-RADS alone in all cases (70.5% for BI-RADS alone, 81.3% for BI-RADS plus ADC) and in cases of DCIS versus fibrocystic changes (40.9% for BI-RADS alone, 64.3% for BI-RADS plus ADC), resulting in a significant improvement in diagnostic accuracy with the addition of ADC.
CONCLUSION: Adding ADC values calculated from DWI (b value = 1500 s/mm(2)) to BI-RADS is a useful way to improve differential diagnostic accuracy for malignant tumors and benign lesions, especially for DCIS versus fibrocystic changes, except in cases of ductal hyperplasia.

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Year:  2011        PMID: 22161277     DOI: 10.1007/s12282-011-0319-9

Source DB:  PubMed          Journal:  Breast Cancer        ISSN: 1340-6868            Impact factor:   4.239


  10 in total

1.  Usefulness of 3T diffusion-weighted MRI for discrimination of reactive and metastatic cervical lymph nodes in patients with oral squamous cell carcinoma: a pilot study.

Authors:  J Si; S Huang; H Shi; Z Liu; Q Hu; G Wang; G Shen; D Zhang
Journal:  Dentomaxillofac Radiol       Date:  2014-01-22       Impact factor: 2.419

Review 2.  Effect of b value and pre-admission of contrast on diagnostic accuracy of 1.5-T breast DWI: a systematic review and meta-analysis.

Authors:  Monique D Dorrius; Hildebrand Dijkstra; Matthijs Oudkerk; Paul E Sijens
Journal:  Eur Radiol       Date:  2014-08-09       Impact factor: 5.315

3.  [Diffusion-weighted breast imaging. Clinical implementation procedure].

Authors:  E Wenkel; M Uder; R Janka
Journal:  Radiologe       Date:  2014-03       Impact factor: 0.635

4.  Diffusion-weighted imaging: determination of the best pair of b-values to discriminate breast lesions.

Authors:  L Nogueira; S Brandão; E Matos; R G Nunes; J Loureiro; H A Ferreira; I Ramos
Journal:  Br J Radiol       Date:  2014-05-16       Impact factor: 3.039

5.  Apparent diffusion coefficient value in invasive ductal carcinoma at 3.0 Tesla: is it correlated with prognostic factors?

Authors:  Inanc Guvenc; Sinan Akay; Selami Ince; Ramazan Yildiz; Zafer Kilbas; Fahrettin G Oysul; Mustafa Tasar
Journal:  Br J Radiol       Date:  2016-02-08       Impact factor: 3.039

6.  Investigation of the optimal b-value to detect breast tumors with diffusion weighted imaging by 1.5-T MRI.

Authors:  Takayuki Tamura; Shigeru Murakami; Kumiko Naito; Tamaki Yamada; Takashi Fujimoto; Takeshi Kikkawa
Journal:  Cancer Imaging       Date:  2014-04-22       Impact factor: 3.909

7.  Breast Dynamic Contrast Enhanced MRI: Fibrocystic Changes Presenting as a Non-mass Enhancement Mimicking Malignancy.

Authors:  Zorica C Milosevic; Mirjan M Nadrljanski; Zorka M Milovanovic; Nina Z Gusic; Slavko S Vucicevic; Olga S Radulovic
Journal:  Radiol Oncol       Date:  2017-05-07       Impact factor: 2.991

8.  Can apparent diffusion coefficient (ADC) distinguish breast cancer from benign breast findings? A meta-analysis based on 13 847 lesions.

Authors:  Alexey Surov; Hans Jonas Meyer; Andreas Wienke
Journal:  BMC Cancer       Date:  2019-10-15       Impact factor: 4.430

9.  Dual-Phase ADC Modelling of Breast Masses in Diffusion-Weighted Imaging: Comparison with Histopathologic Findings.

Authors:  Gökhan Ertaş; Can Onaygil; Onur Buğdaycı; Erkin Arıbal
Journal:  Eur J Breast Health       Date:  2018-04-01

10.  Assessing Detection, Discrimination, and Risk of Breast Cancer According to Anisotropy Parameters of Diffusion Tensor Imaging.

Authors:  Ruisheng Jiang; Xiangmin Zeng; Shihang Sun; Zhijun Ma; Ximing Wang
Journal:  Med Sci Monit       Date:  2016-04-20
  10 in total

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