Literature DB >> 26853508

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

Inanc Guvenc1, Sinan Akay2, Selami Ince1, Ramazan Yildiz3, Zafer Kilbas3, Fahrettin G Oysul4, Mustafa Tasar1.   

Abstract

OBJECTIVE: To investigate the correlation between apparent diffusion coefficient (ADC) values and prognostic factors in patients with invasive ductal carcinoma (IDC).
METHODS: 48 lesions belonging to 47 patients with histopathologically proven IDC were examined using conventional MR and diffusion-weighted imaging at a 3.0-T system. All of the patients had modified radical mastectomies or breast-sparing surgery plus axillary lymph node dissection. The ADC values acquired from the ADC maps consisted of six different b-values (0, 50, 100, 500, 1000 and 1500 s mm(-2)) and were compared with the patients' ages, tumour size, histological grade of the lesions, tumour localization, lesions' distance to skin surface and nipples, the existence of axillary lymph node involvement, the number of involved axillary lymph nodes, oestrogen/progesterone receptor status, peritumoral lymphovascular invasion status and the existence of human epidermal growth factor 2 (c-erbB-2) overexpression.
RESULTS: A statistically significant relationship was found regarding axillary lymph node involvement (p = 0.027), and oestrogen/progesterone receptor status (p = 0.013). No significant relationship was detected regarding other prognostic factors (p > 0.05).
CONCLUSION: Among various prognostic factors, ADC values were significantly correlated with only axillary lymph node positivity and oestrogen/progesterone receptor status. ADVANCES IN KNOWLEDGE: In the present study, the relationship between ADC values of IDC lesions that are acquired at a high magnetic field (3.0 T) system by using multiple b-values and some specific prognostic factors that were not evaluated before in the medical literature was investigated.

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Year:  2016        PMID: 26853508      PMCID: PMC4846196          DOI: 10.1259/bjr.20150614

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


  48 in total

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

Authors:  Miho Ochi; Toshiro Kuroiwa; Shunya Sunami; Junji Murakami; Shinichiro Miyahara; Takashi Nagaie; Masafumi Oya; Hidetake Yabuuchi; Masamitsu Hatakenaka
Journal:  Breast Cancer       Date:  2011-12-10       Impact factor: 4.239

2.  Comparisons of multi b-value DWI signal analysis with pathological specimen of breast cancer.

Authors:  Takayuki Tamura; Shuji Usui; Shigeru Murakami; Koji Arihiro; Takashi Fujimoto; Tamaki Yamada; Kumiko Naito; Mitoshi Akiyama
Journal:  Magn Reson Med       Date:  2011-12-08       Impact factor: 4.668

3.  [Influence of b value on the measurement of contrast and apparent diffusion coefficient in 3.0 Tesla breast magnetic resonance imaging].

Authors:  Masako Takanaga; Norio Hayashi; Tosiaki Miyati; Hiroko Kawashima; Takashi Hamaguchi; Naoki Ohno; Shigeru Sanada; Tomoyuki Yamamoto; Osamu Matsui
Journal:  Nihon Hoshasen Gijutsu Gakkai Zasshi       Date:  2012

4.  Invasive ductal carcinoma: correlation of apparent diffusion coefficient value with pathological prognostic factors.

Authors:  Ahmed Abdel Khalek Abdel Razek; Gada Gaballa; Adel Denewer; Nadia Nada
Journal:  NMR Biomed       Date:  2010-07       Impact factor: 4.044

5.  Biexponential Signal Attenuation Analysis of Diffusion-weighted Imaging of Breast.

Authors:  Takayuki Tamura; Shuji Usui; Shigeru Murakami; Koji Arihiro; Yuji Akiyama; Kumiko Naito; Mitoshi Akiyama
Journal:  Magn Reson Med Sci       Date:  2010       Impact factor: 2.471

6.  Correlations between apparent diffusion coefficient values and prognostic factors of breast cancer.

Authors:  Takeshi Kamitani; Yoshio Matsuo; Hidetake Yabuuchi; Nobuhiro Fujita; Michinobu Nagao; Mikako Jinnouchi; Masato Yonezawa; Yuzo Yamasaki; Eriko Tokunaga; Makoto Kubo; Hidetaka Yamamoto; Takashi Yoshiura; Hiroshi Honda
Journal:  Magn Reson Med Sci       Date:  2013-07-12       Impact factor: 2.471

7.  Apparent diffusion coefficient ratio between axillary lymph node with primary tumor to detect nodal metastasis in breast cancer patients.

Authors:  Ningbin Luo; Danke Su; Guanqiao Jin; Lidong Liu; Xuna Zhu; Dong Xie; Younan Liu
Journal:  J Magn Reson Imaging       Date:  2013-02-25       Impact factor: 4.813

8.  Role of diffusion-weighted MRI: predicting axillary lymph node metastases in breast cancer.

Authors:  Jin Chung; Ji Hyun Youk; Jeong-Ah Kim; Hye Mi Gweon; Eun-Kyung Kim; Young Hoon Ryu; Eun Ju Son
Journal:  Acta Radiol       Date:  2013-11-14       Impact factor: 1.990

9.  Detection of axillary node metastasis using diffusion-weighted MRI in breast cancer.

Authors:  Takeshi Kamitani; Masamitsu Hatakenaka; Hidetake Yabuuchi; Yoshio Matsuo; Nobuhiro Fujita; Mikako Jinnouchi; Michinobu Nagao; Kengo Shirahane; Eriko Tokunaga; Hiroshi Honda
Journal:  Clin Imaging       Date:  2012-06-08       Impact factor: 1.605

10.  Conspicuity of breast lesions at different b values on diffusion-weighted imaging.

Authors:  Xin Chen; Xi-Jing He; Rui Jin; You-Min Guo; Xian Zhao; Hua-Feng Kang; Li-Ping Mo; Qian Wu
Journal:  BMC Cancer       Date:  2012-08-02       Impact factor: 4.430

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  10 in total

1.  Added value of mean and entropy of apparent diffusion coefficient values for evaluating histologic phenotypes of invasive ductal breast cancer with MR imaging.

Authors:  Shiteng Suo; Dandan Zhang; Fang Cheng; Mengqiu Cao; Jia Hua; Jinsong Lu; Jianrong Xu
Journal:  Eur Radiol       Date:  2018-08-16       Impact factor: 5.315

Review 2.  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

3.  Diffusion weighted imaging in breast cancer - Can it be a noninvasive predictor of nuclear grade?

Authors:  R Rupa; R Thushara; S Swathigha; R Athira; N Meena; Mathew P Cherian
Journal:  Indian J Radiol Imaging       Date:  2020-03-30

4.  Diffusion-weighted imaging (DWI) with apparent diffusion coefficient (ADC) mapping as a quantitative imaging biomarker for prediction of immunohistochemical receptor status, proliferation rate, and molecular subtypes of breast cancer.

Authors:  Joao V Horvat; Blanca Bernard-Davila; Thomas H Helbich; Michelle Zhang; Elizabeth A Morris; Sunitha B Thakur; R Elena Ochoa-Albiztegui; Doris Leithner; Maria A Marino; Pascal A Baltzer; Paola Clauser; Panagiotis Kapetas; Zsuzsanna Bago-Horvath; Katja Pinker
Journal:  J Magn Reson Imaging       Date:  2019-02-27       Impact factor: 4.813

5.  Histogram Analysis and Visual Heterogeneity of Diffusion-Weighted Imaging with Apparent Diffusion Coefficient Mapping in the Prediction of Molecular Subtypes of Invasive Breast Cancers.

Authors:  Joao V Horvat; Aditi Iyer; Elizabeth A Morris; Aditya Apte; Blanca Bernard-Davila; Danny F Martinez; Doris Leithner; Olivia M Sutton; R Elena Ochoa-Albiztegui; Dilip Giri; Katja Pinker; Sunitha B Thakur
Journal:  Contrast Media Mol Imaging       Date:  2019-11-22       Impact factor: 3.161

6.  Quantitative Parameters of Diffusion Spectrum Imaging: HER2 Status Prediction in Patients With Breast Cancer.

Authors:  Chunping Mao; Wei Jiang; Jiayi Huang; Mengzhu Wang; Xu Yan; Zehong Yang; Dongye Wang; Xiang Zhang; Jun Shen
Journal:  Front Oncol       Date:  2022-02-03       Impact factor: 6.244

Review 7.  Breast Cancer Subtypes and Quantitative Magnetic Resonance Imaging: A Systemic Review.

Authors:  Toshiki Kazama; Taro Takahara; Jun Hashimoto
Journal:  Life (Basel)       Date:  2022-03-28

Review 8.  MRI as a biomarker for breast cancer diagnosis and prognosis.

Authors:  Francesca Galati; Veronica Rizzo; Rubina Manuela Trimboli; Endi Kripa; Roberto Maroncelli; Federica Pediconi
Journal:  BJR Open       Date:  2022-05-26

9.  Diffusion-Weighted Imaging of Breast Cancer: Correlation of the Apparent Diffusion Coefficient Value with Pathologic Prognostic Factors.

Authors:  Şehnaz Tezcan; Nihal Uslu; Funda Ulu Öztürk; Eda Yılmaz Akçay; Tugan Tezcaner
Journal:  Eur J Breast Health       Date:  2019-10-01

Review 10.  Diffusion-weighted imaging of the breast: current status as an imaging biomarker and future role.

Authors:  Julia Camps-Herrero
Journal:  BJR Open       Date:  2019-03-08
  10 in total

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