Literature DB >> 28593433

Additional value of diffusion-weighted imaging to evaluate multifocal and multicentric breast cancer detected using pre-operative breast MRI.

Sung Eun Song1, Eun Kyung Park1, Kyu Ran Cho2, Bo Kyoung Seo3, Ok Hee Woo4, Seung Pil Jung5, Sung Bum Cho1.   

Abstract

OBJECTIVES: To investigate whether diffusion-weighted imaging (DWI) aids pre-operative dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) to evaluate additional lesions in breast cancer patients.
METHODS: DCE-MRI and DWI were performed on 131 lesions, with available histopathological results. The apparent diffusion coefficient (ADC) of each lesion was measured, and the cut-off value for differentiation between malignant and benign lesions was calculated. A protocol combining the ADC cut-off value with DCE-MRI was validated in a cohort of 107 lesions in 77 patients.
RESULTS: When an ADC cut-off value of 1.11 × 10-3 mm2/s from the development cohort was applied to the additional lesions in the validation cohort, the specificity increased from 18.9% to 67.6% (P < 0.001), and the diagnostic accuracy increased from 61.7% to 82.2% (P = 0.05), without significant loss of sensitivity (98.6% vs. 90.0%, P = 0.07). The negative predictive values of lesions in the same quadrant had decreased, as had those of lesions ≥1 cm in diameter. The ADC cut-off value in the validation cohort was 1.05 × 10-3 mm2/s.
CONCLUSIONS: Additional implementation of DWI for breast lesions in pre-operative MRI can help to obviate unnecessary biopsies by increasing specificity. However, to avoid missing cancers, clinicians should closely monitor lesions located in the same quadrant or lesions ≥1 cm. KEY POINTS: • DWI can be used to further differentiate lesions during pre-operative cancer staging. • ADC cut-off values were similar in the development and validation cohorts. • DWI improves both PPV and NPV in cases of multicentric lesions. • DWI improves both PPV and NPV in lesions <1 in diameter. • NPVs are decreased in multifocal lesions and lesions ≥1 cm in diameter.

Entities:  

Keywords:  Apparent diffusion coefficient; Breast magnetic resonance imaging; Breast neoplasm; Diffusion-weighted imaging; Staging

Mesh:

Substances:

Year:  2017        PMID: 28593433     DOI: 10.1007/s00330-017-4898-5

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  23 in total

1.  Contribution of diffusion-weighted imaging to dynamic contrast-enhanced MRI in the characterization of breast tumors.

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Journal:  AJR Am J Roentgenol       Date:  2011-01       Impact factor: 3.959

Review 2.  Diagnostic breast MR imaging: current status and future directions.

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Journal:  Radiol Clin North Am       Date:  2007-09       Impact factor: 2.303

3.  Quantitative diffusion-weighted imaging as an adjunct to conventional breast MRI for improved positive predictive value.

Authors:  Savannah C Partridge; Wendy B DeMartini; Brenda F Kurland; Peter R Eby; Steven W White; Constance D Lehman
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4.  Improved diagnostic accuracy with multiparametric magnetic resonance imaging of the breast using dynamic contrast-enhanced magnetic resonance imaging, diffusion-weighted imaging, and 3-dimensional proton magnetic resonance spectroscopic imaging.

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5.  Diffusion-weighted imaging improves the diagnostic accuracy of conventional 3.0-T breast MR imaging.

Authors:  Riham H Ei Khouli; Michael A Jacobs; Sarah D Mezban; Peng Huang; Ihab R Kamel; Katarzyna J Macura; David A Bluemke
Journal:  Radiology       Date:  2010-07       Impact factor: 11.105

6.  Comparison of the diagnostic performances of diffusion parameters in diffusion weighted imaging and diffusion tensor imaging of breast lesions.

Authors:  Ozgur Cakir; Arzu Arslan; Nagihan Inan; Yonca Anık; Tahsin Sarısoy; Sevtap Gumustas; Gur Akansel
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7.  Does pre-operative breast magnetic resonance imaging in addition to mammography and breast ultrasonography change the operative management of breast carcinoma?

Authors:  Hye In Lim; Jae Hyuck Choi; Jung-Hyun Yang; Boo-Kyung Han; Jeong Eon Lee; Se-Kyung Lee; Wan Wook Kim; Sangmin Kim; Jee Soo Kim; Jung-Han Kim; Jun-Ho Choe; Eun Yoon Cho; Seok Seon Kang; Jung Hee Shin; Eun Young Ko; Sang Wook Kim; Seok Jin Nam
Journal:  Breast Cancer Res Treat       Date:  2010-01       Impact factor: 4.872

Review 8.  Accuracy and surgical impact of magnetic resonance imaging in breast cancer staging: systematic review and meta-analysis in detection of multifocal and multicentric cancer.

Authors:  Nehmat Houssami; Stefano Ciatto; Petra Macaskill; Sarah J Lord; Ruth M Warren; J Michael Dixon; Les Irwig
Journal:  J Clin Oncol       Date:  2008-05-12       Impact factor: 44.544

9.  Positive predictive value of BI-RADS MR imaging.

Authors:  Mary C Mahoney; Constantine Gatsonis; Lucy Hanna; Wendy B DeMartini; Constance Lehman
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10.  MRI-only lesions: application of diffusion-weighted imaging obviates unnecessary MR-guided breast biopsies.

Authors:  Claudio Spick; Katja Pinker-Domenig; Margaretha Rudas; Thomas H Helbich; Pascal A Baltzer
Journal:  Eur Radiol       Date:  2014-04-05       Impact factor: 5.315

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Authors:  Vivian Youngjean Park; Sungheon G Kim; Eun-Kyung Kim; Hee Jung Moon; Jung Hyun Yoon; Min Jung Kim
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2.  Comparison of Contrast-Enhanced Spectral Mammography and Contrast-Enhanced MRI in Screening Multifocal and Multicentric Lesions in Breast Cancer Patients.

Authors:  Lei Feng; Lei Sheng; Litao Zhang; Na Li; Yuanzhong Xie
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3.  A radiomic nomogram based on an apparent diffusion coefficient map for differential diagnosis of suspicious breast findings.

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Journal:  Chin J Cancer Res       Date:  2018-08       Impact factor: 5.087

4.  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

5.  Diagnostic value of MRI combined with ultrasound for lymph node metastasis in breast cancer: Protocol for a meta-analysis.

Authors:  Dechun Cai; Tong Lin; Kailin Jiang; Zhizhong Sun
Journal:  Medicine (Baltimore)       Date:  2019-07       Impact factor: 1.817

6.  Application of MRI Image Based on Computer Semiautomatic Segmentation Algorithm in the Classification Prediction of Breast Cancer Histology.

Authors:  Aizhu Sheng; Aijing Li; Jianbi Xia; Yizhai Ye
Journal:  J Healthc Eng       Date:  2021-11-24       Impact factor: 2.682

7.  Optimising preoperative risk stratification tools for prostate cancer using mpMRI.

Authors:  Lars A R Reisæter; Jurgen J Fütterer; Are Losnegård; Yngve Nygård; Jan Monssen; Karsten Gravdal; Ole J Halvorsen; Lars A Akslen; Martin Biermann; Svein Haukaas; Jarle Rørvik; Christian Beisland
Journal:  Eur Radiol       Date:  2017-10-06       Impact factor: 5.315

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