Literature DB >> 24353241

Correlations between apparent diffusion coefficient values of invasive ductal carcinoma and pathologic factors on diffusion-weighted MRI at 3.0 Tesla.

Sung Hee Park1, Hye-Young Choi, Soo Yeon Hahn.   

Abstract

PURPOSE: To investigate correlations between apparent diffusion coefficient (ADC) values of invasive ductal carcinoma (IDC) and pathologic factors on diffusion-weighted MRI. We measured the ADC values of IDC of the breast and analyzed correlations between ADC values and factors such as tumor size, axillary lymph node status, histologic grade, estrogen receptor, progesterone receptor, and human epithelial growth factor 2 (HER2) using diffusion-weighted MRI at 3.0 Tesla (T).
MATERIALS AND METHODS: We examined 110 patients with pathologically confirmed IDC using diffusion-weighted MRI at 3.0T. The ADC values of breast cancer were calculated using two b factors (0 and 1000 s/mm(2)). The relationship between ADC values and tumor size, histologic grade, axillary lymph node status, hormonal receptors, and HER2 were analyzed.
RESULTS: The mean ADC value of IDC (n = 110) was 0.88 ± 0.15 × 10(-2) mm(2)/s. Tumors were subgrouped according to size (<2 cm, 2-5 cm, and ≥5 cm). Multiple comparisons within subgroups according to size showed that the ADC values for the three tumor size groups were significantly different (correlation coefficient = -0.007). The mean apparent diffusion coefficient of HER2-positive IDC was significantly higher than that of HER2-negative invasive ductal carcinoma (correlation coefficient = 0.218).
CONCLUSION: ADC values of IDC were significantly correlated with tumor size and HER2 status.
© 2013 Wiley Periodicals, Inc.

Entities:  

Keywords:  ADC value; breast cancer; diffusion weighted image; invasive ductal carcinoma; magnetic resonance imaging

Mesh:

Year:  2013        PMID: 24353241     DOI: 10.1002/jmri.24519

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  39 in total

1.  Correlation between minimum apparent diffusion coefficient values and the histological grade of breast invasive ductal carcinoma.

Authors:  Suhong Zhao; Weihua Guo; Ru Tan; Peipei Chen; Zhaohua Li; Fengguo Sun; Guangrui Shao
Journal:  Oncol Lett       Date:  2018-03-23       Impact factor: 2.967

2.  Invasive ductal breast cancer: preoperative predict Ki-67 index based on radiomics of ADC maps.

Authors:  Yu Zhang; Yifeng Zhu; Kai Zhang; Yajie Liu; Jingjing Cui; Juan Tao; Yingzi Wang; Shaowu Wang
Journal:  Radiol Med       Date:  2019-11-06       Impact factor: 3.469

3.  Diffusion weighted MRI and spectroscopy in invasive carcinoma of the breast at 3Tesla. Correlation with dynamic contrast enhancement and pathologic findings.

Authors:  G Boulogianni; I Chryssogonidis; A Drevelegas
Journal:  Hippokratia       Date:  2016 Jul-Sep       Impact factor: 0.471

4.  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

5.  Quantitative parameters of MRI and 18F-FDG PET/CT in the prediction of breast cancer prognosis and molecular type: an original study.

Authors:  Pavel Borisovich Gelezhe; Ivan Andreevich Blokhin; Damir Ildarovich Marapov; Sergey Pavlovich Morozov
Journal:  Am J Nucl Med Mol Imaging       Date:  2020-12-15

6.  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

7.  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

Review 8.  Background, current role, and potential applications of radiogenomics.

Authors:  Katja Pinker; Fuki Shitano; Evis Sala; Richard K Do; Robert J Young; Andreas G Wibmer; Hedvig Hricak; Elizabeth J Sutton; Elizabeth A Morris
Journal:  J Magn Reson Imaging       Date:  2017-11-02       Impact factor: 4.813

Review 9.  Diffusion-weighted breast MRI: Clinical applications and emerging techniques.

Authors:  Savannah C Partridge; Noam Nissan; Habib Rahbar; Averi E Kitsch; Eric E Sigmund
Journal:  J Magn Reson Imaging       Date:  2016-09-30       Impact factor: 4.813

10.  Quantitative apparent diffusion coefficient measurement obtained by 3.0Tesla MRI as a potential noninvasive marker of tumor aggressiveness in breast cancer.

Authors:  Manuela Durando; Lucas Gennaro; Gene Y Cho; Dilip D Giri; Merlin M Gnanasigamani; Sujata Patil; Elizabeth J Sutton; Joseph O Deasy; Elizabeth A Morris; Sunitha B Thakur
Journal:  Eur J Radiol       Date:  2016-06-28       Impact factor: 3.528

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