Literature DB >> 29299933

Is there any relationship between adc values of diffusion-weighted imaging and the histopathological prognostic factors of invasive ductal carcinoma?

Hale Aydin1, Bahar Guner1, Isil Esen Bostanci1, Zarife Melda Bulut2, Bilgin Kadri Aribas1, Lutfi Dogan3, Mehmet Ali Gulcelik3,4.   

Abstract

OBJECTIVE: MRI is being used increasingly as a modality that can provide important information about breast cancer. Diffusion-weighted imaging (DWI) is an imaging technique from which apparent diffusion coefficient (ADC) values can be calculated in addition to obtaining important structural information which cannot be obtained from other imaging studies. We did not find any significant relationships between ADC values and prognostic factors, but did provide some explanations for conflicting results in the literature.
METHODS: The ADC results of 61 females with invasive ductal carcinomas were evaluated. DWI was performed and ADC values were calculated from the area in which restriction of diffusion was the highest in ADC mapping. B value was 500 and region of interest (ROI) was designated between 49 and 100 mm2. Calculations were performed automatically by the device. Tissue samples were obtained for prognostic factor evaluation. The relationships between ADC and prognostic factors were investigated. Comparisons between groups were made with one-way ANOVA and Kruskal Wallis test. Pairwise comparisons were made with Dunn's test. Analyses of categorical variables were made with Chi-square test.
RESULTS: We found a weak negative correlation between ADC and Ki-67 values (r = -0.279; p = 0.029). When we compared ADC values in regard to tumour type, we found no significant differences for tumour grade, Ki-67 positivity, estrogen receptor positivity, progesterone receptor positivity, C-erb B2, lymphovascular invasion and ductal carcinoma in situ or lobular carcinoma in situ component. On a side note, we found that mean ADC values decreased as tumour grade increased; however, this was not statistically significant.
CONCLUSION: The literature contains studies that report conflicting results which may be caused by differences in B values, ROI area and magnetic field strength. Multicentre studies and systematic reviews of these findings may produce crucial data for the use of DWI in breast cancer. Advances in knowledge: To determine if any significant relationship exists between DWI findings and prognostic factors of breast cancer.

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Year:  2018        PMID: 29299933      PMCID: PMC5965983          DOI: 10.1259/bjr.20170705

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  50 in total

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2.  Meta-analysis of MR imaging in the diagnosis of breast lesions.

Authors:  Nicky H G M Peters; Inne H M Borel Rinkes; Nicolaas P A Zuithoff; Willem P T M Mali; Karel G M Moons; Petra H M Peeters
Journal:  Radiology       Date:  2007-11-16       Impact factor: 11.105

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.  Current status of the prognostic molecular biomarkers in breast cancer: A systematic review.

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5.  Molecular Breast Imaging and the 2016 Update to the ACR Appropriateness Criteria for Breast Cancer Screening.

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8.  Can Diffusion-Weighted Imaging and Related Apparent Diffusion Coefficient be a Prognostic Value in Women With Breast Cancer?

Authors:  Paola Rabasco; Rocchina Caivano; Vittorio Simeon; Giuseppina Dinardo; Antonella Lotumolo; Matilde Gioioso; Antonio Villonio; Giancarlo Iannelli; Felice D'Antuono; Alexis Zandolino; Luca Macarini; Giuseppe Guglielmi; Aldo Cammarota
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9.  Diffusion-weighted imaging of breast cancer: correlation of the apparent diffusion coefficient value with prognostic factors.

Authors:  Sung Hun Kim; Eun Suk Cha; Hyeon Sook Kim; Bong Joo Kang; Jae Jeong Choi; Ji Han Jung; Yong Gyu Park; Young Jin Suh
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10.  Screening with magnetic resonance imaging, mammography and ultrasound in women at average and intermediate risk of breast cancer.

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Journal:  Hered Cancer Clin Pract       Date:  2017-03-01       Impact factor: 2.857

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  8 in total

1.  Diffusion-Weighted Imaging of Different Breast Cancer Molecular Subtypes: A Systematic Review and Meta-Analysis.

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Journal:  Breast Care (Basel)       Date:  2021-02-23       Impact factor: 2.860

2.  Can diffusion-weighted imaging predict tumor grade and expression of Ki-67 in breast cancer? A multicenter analysis.

Authors:  Alexey Surov; Paola Clauser; Yun-Woo Chang; Lihua Li; Laura Martincich; Savannah C Partridge; Jin You Kim; Hans Jonas Meyer; Andreas Wienke
Journal:  Breast Cancer Res       Date:  2018-06-19       Impact factor: 6.466

3.  The volumetric-tumour histogram-based analysis of intravoxel incoherent motion and non-Gaussian diffusion MRI: association with prognostic factors in HER2-positive breast cancer.

Authors:  Chao You; Jianwei Li; Wenxiang Zhi; Yanqiong Chen; Wentao Yang; Yajia Gu; Weijun Peng
Journal:  J Transl Med       Date:  2019-07-02       Impact factor: 5.531

4.  Apparent diffusion coefficient cannot predict molecular subtype and lymph node metastases in invasive breast cancer: a multicenter analysis.

Authors:  Alexey Surov; Yun-Woo Chang; Lihua Li; Laura Martincich; Savannah C Partridge; Jin You Kim; Andreas Wienke
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Review 5.  Breast Cancer Subtypes and Quantitative Magnetic Resonance Imaging: A Systemic Review.

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Review 6.  Diffusion Breast MRI: Current Standard and Emerging Techniques.

Authors:  Ashley M Mendez; Lauren K Fang; Claire H Meriwether; Summer J Batasin; Stéphane Loubrie; Ana E Rodríguez-Soto; Rebecca A Rakow-Penner
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7.  Multimodality imaging in lobular breast cancer: Differences in mammography, ultrasound, and MRI in the assessment of local tumor extent and correlation with molecular characteristics.

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Journal:  Front Oncol       Date:  2022-08-22       Impact factor: 5.738

8.  Readout-Segmented Echo-Planar Diffusion-Weighted MR Imaging Improves the Differentiation of Breast Cancer Receptor Statuses Compared With Conventional Diffusion-Weighted Imaging.

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Journal:  J Magn Reson Imaging       Date:  2022-01-17       Impact factor: 5.119

  8 in total

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