Literature DB >> 25118482

Apparent diffusion coefficient on 3.0 Tesla magnetic resonance imaging and prognostic factors in breast cancer.

C De Felice, V Cipolla, D Guerrieri, D Santucci, A Musella, L M Porfiri, M L Meggiorini.   

Abstract

AIM: The aim of the study was to evaluate whether the apparent diffusion coefficient (ADC) provided by 3.0 Tesla diffusion-weighted imaging (3T DWI) varies with the prognostic factors Ki67 and grading in invasive breast cancer.
MATERIALS AND METHODS: Seventy-three patients with 75 invasive breast cancer lesions who had undergone 3.0 Tesla magnetic resonance imaging (MRI) for local staging were enrolled. All lesions were confirmed by histologic and immunohistochemical analysis. MRI included both dynamic contrast-enhanced and DWI sequences. ADC value was obtained for each lesion. Histologic tumor grade was established according to the Nottingham Grading System (NGS), while Ki67 expression was evaluated by MM1 clone IgG1 mouse anti-human monoclonal antibody. Patients were divided into the following groups: grade 1 (G1), grade 2 (G2), grade 1 plus grade 2 (G1+G2) and grade 3 (G3), and low Ki67 (< or = 14%), intermediate Ki67 (15%-30%), and high Ki67 (> or = 30%). ADC values were compared with the G and Ki67 groups. Statistical comparison was carried out using the Mann-Whitney U and the Kruskal-Wallis H test.
RESULTS: ADC values were significantly higher in G3 than in G1+G2 tumors; no significant difference was observed when G1, G2, and G3 were compared. There was no statistically significant correlation between ADC values and Ki67 percentage (p > 0.05). DISCUSSION: ADC values obtained on 3T DWI correlate with low (G1+G2) and high-grade (G3) invasive breast carcinomas.
CONCLUSION: ADC may be a helpful tool for identifying high-grade invasive breast carcinoma.

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Year:  2014        PMID: 25118482

Source DB:  PubMed          Journal:  Eur J Gynaecol Oncol        ISSN: 0392-2936            Impact factor:   0.196


  14 in total

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

Authors:  Hale Aydin; Bahar Guner; Isil Esen Bostanci; Zarife Melda Bulut; Bilgin Kadri Aribas; Lutfi Dogan; Mehmet Ali Gulcelik
Journal:  Br J Radiol       Date:  2018-01-12       Impact factor: 3.039

2.  Diagnostic Value of Diffusion-weighted Imaging and Apparent Diffusion Coefficient Values in the Differentiation of Breast Lesions, Histpathologic Subgroups and Correlatıon with Prognostıc Factors using 3.0 Tesla MR.

Authors:  Yasin Akın; M Ümit Uğurlu; Handan Kaya; Erkin Arıbal
Journal:  J Breast Health       Date:  2016-07-01

3.  MR mammography using diffusion-weighted imaging in evaluating breast cancer: a correlation with proliferation index.

Authors:  Cristina Molinari; Paola Clauser; Rossano Girometti; Anna Linda; Elisa Cimino; Fabio Puglisi; Chiara Zuiani; Massimo Bazzocchi
Journal:  Radiol Med       Date:  2015-03-17       Impact factor: 3.469

4.  Apparent diffusion coefficient in estrogen receptor-positive and lymph node-negative invasive breast cancers at 3.0T DW-MRI: A potential predictor for an oncotype Dx test recurrence score.

Authors:  Sunitha B Thakur; Manuela Durando; Soledad Milans; Gene Y Cho; Lucas Gennaro; Elizabeth J Sutton; Dilip Giri; Elizabeth A Morris
Journal:  J Magn Reson Imaging       Date:  2017-06-22       Impact factor: 4.813

5.  Intravoxel incoherent motion diffusion-weighted MR imaging of breast cancer: association with histopathological features and subtypes.

Authors:  Yunju Kim; Kyounglan Ko; Daehong Kim; Changki Min; Sungheon G Kim; Jungnam Joo; Boram Park
Journal:  Br J Radiol       Date:  2016-05-20       Impact factor: 3.039

6.  Three-dimensional pulsed continuous arterial spin labeling and intravoxel incoherent motion imaging of nasopharyngeal carcinoma: correlations with Ki-67 proliferation status.

Authors:  Wenxiu Wu; Guihua Jiang; Zhifeng Xu; Ruoning Wang; Aizhen Pan; Mingyong Gao; Tian Yu; Linwen Huang; Qiang Quan; Jin Li
Journal:  Quant Imaging Med Surg       Date:  2021-04

Review 7.  The Changing World of Breast Cancer: A Radiologist's Perspective.

Authors:  Christiane K Kuhl
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8.  Diagnostic Performance of Diffusion Tensor Imaging with Readout-segmented Echo-planar Imaging for Invasive Breast Cancer: Correlation of ADC and FA with Pathological Prognostic Markers.

Authors:  Ken Yamaguchi; Takahiko Nakazono; Ryoko Egashira; Yoshiaki Komori; Jun Nakamura; Tomoyuki Noguchi; Hiroyuki Irie
Journal:  Magn Reson Med Sci       Date:  2016-11-16       Impact factor: 2.471

9.  PET/MR in invasive ductal breast cancer: correlation between imaging markers and histological phenotype.

Authors:  Onofrio Antonio Catalano; Gary Lloyd Horn; Alberto Signore; Carlo Iannace; Maria Lepore; Mark Vangel; Angelo Luongo; Marco Catalano; Constance Lehman; Marco Salvatore; Andrea Soricelli; Ciprian Catana; Umar Mahmood; Bruce Robert Rosen
Journal:  Br J Cancer       Date:  2017-02-16       Impact factor: 7.640

10.  Additional Value of Diffusion-Weighted Imaging to Evaluate Prognostic Factors of Breast Cancer: Correlation with the Apparent Diffusion Coefficient.

Authors:  Eun Kyung Park; Kyu Ran Cho; Bo Kyoung Seo; Ok Hee Woo; Sung Bum Cho; Jeoung Won Bae
Journal:  Iran J Radiol       Date:  2016-01-16       Impact factor: 0.212

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