Literature DB >> 27091644

Apparent diffusion coefficient of breast cancer and normal fibroglandular tissue in diffusion-weighted imaging: the effects of menstrual cycle and menopausal status.

Jin You Kim1,2, Hie Bum Suh3, Hyun Jung Kang3, Jong Ki Shin4, Ki Seok Choo5, Kyung Jin Nam5, Seok Won Lee6, Young Lae Jung6, Young Tae Bae6.   

Abstract

The purpose of this study was to investigate prospectively whether the apparent diffusion coefficients (ADCs) of both breast cancer and normal fibroglandular tissue vary with the menstrual cycle and menopausal status. Institutional review board approval was obtained, and informed consent was obtained from each participant. Fifty-seven women (29 premenopausal, 28 postmenopausal) with newly diagnosed breast cancer underwent diffusion-weighted imaging twice (interval 12-20 days) before surgery. Two radiologists independently measured ADC of breast cancer and normal contralateral breast tissue, and we quantified the differences according to the phases of menstrual cycle and menopausal status. With normal fibroglandular tissue, ADC was significantly lower in postmenopausal than in premenopausal women (P = 0.035). In premenopausal women, ADC did not differ significantly between proliferative and secretory phases in either breast cancer or normal fibroglandular tissue (P = 0.969 and P = 0.519, respectively). In postmenopausal women, no significant differences were found between ADCs measured at different time intervals in either breast cancer or normal fibroglandular tissue (P = 0.948 and P = 0.961, respectively). The within-subject variability of the ADC measurements was quantified using the coefficient of variation (CV) and was small: the mean CVs of tumor ADC were 2.90 % (premenopausal) and 3.43 % (postmenopausal), and those of fibroglandular tissue ADC were 4.37 % (premenopausal) and 2.55 % (postmenopausal). Both intra- and interobserver agreements were excellent for ADC measurements, with intraclass correlation coefficients in the range of 0.834-0.974. In conclusion, the measured ADCs of breast cancer and normal fibroglandular tissue were not affected significantly by menstrual cycle, and the measurements were highly reproducible both within and between observers.

Entities:  

Keywords:  Apparent diffusion coefficient; Breast neoplasms; Diffusion-weighted MRI; Menstrual cycle; Reproducibility

Mesh:

Year:  2016        PMID: 27091644     DOI: 10.1007/s10549-016-3793-0

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  12 in total

Review 1.  Diagnostic performance of apparent diffusion coefficient (ADC) for differentiating endometrial carcinoma from benign lesions: a systematic review and meta-analysis.

Authors:  Yashar Moharamzad; Amir H Davarpanah; Ali Yaghobi Joybari; Fatemeh Shahbazi; Leila Esmaeilian Toosi; Melika Kooshkiforooshani; Ali Ansari; Morteza Sanei Taheri
Journal:  Abdom Radiol (NY)       Date:  2020-09-15

2.  Breast density is strongly associated with multiparametric magnetic resonance imaging biomarkers and pro-tumorigenic proteins in situ.

Authors:  Peter Lundberg; Mikael F Forsgren; Jens Tellman; Johan Kihlberg; Anna Rzepecka; Charlotta Dabrosin
Journal:  Br J Cancer       Date:  2022-09-22       Impact factor: 9.075

Review 3.  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

4.  Apparent diffusion coefficient mapping using diffusion-weighted MRI: impact of background parenchymal enhancement, amount of fibroglandular tissue and menopausal status on breast cancer diagnosis.

Authors:  Joao V Horvat; Manuela Durando; Soledad Milans; Sujata Patil; Jessica Massler; Girard Gibbons; Dilip Giri; Katja Pinker; Elizabeth A Morris; Sunitha B Thakur
Journal:  Eur Radiol       Date:  2018-01-12       Impact factor: 5.315

5.  Diffusion tensor magnetic resonance imaging of breast cancer: associations between diffusion metrics and histological prognostic factors.

Authors:  Jin You Kim; Jin Joo Kim; Suk Kim; Ki Seok Choo; Ahrong Kim; Taewoo Kang; Heesung Park
Journal:  Eur Radiol       Date:  2018-04-30       Impact factor: 5.315

6.  Repeatability, reproducibility, and accuracy of quantitative mri of the breast in the community radiology setting.

Authors:  Anna G Sorace; Chengyue Wu; Stephanie L Barnes; Angela M Jarrett; Sarah Avery; Debra Patt; Boone Goodgame; Jeffery J Luci; Hakmook Kang; Richard G Abramson; Thomas E Yankeelov; John Virostko
Journal:  J Magn Reson Imaging       Date:  2018-03-23       Impact factor: 4.813

7.  Evaluation of Malignant Breast Lesions Using High-resolution Readout-segmented Diffusion-weighted Echo-planar Imaging: Comparison with Pathology.

Authors:  Ayami Ohno Kishimoto; Masako Kataoka; Mami Iima; Maya Honda; Kanae Kawai Miyake; Akane Ohashi; Rie Ota; Tatsuki Kataoka; Takaki Sakurai; Masakazu Toi; Kaori Togashi
Journal:  Magn Reson Med Sci       Date:  2020-07-02       Impact factor: 2.471

Review 8.  Diffusion-Weighted Magnetic Resonance Imaging of the Breast: Standardization of Image Acquisition and Interpretation.

Authors:  Su Hyun Lee; Hee Jung Shin; Woo Kyung Moon
Journal:  Korean J Radiol       Date:  2020-08-28       Impact factor: 3.500

9.  Differentiation of Benign and Malignant Breast Lesions Using ADC Values and ADC Ratio in Breast MRI.

Authors:  Silvia Tsvetkova; Katya Doykova; Anna Vasilska; Katya Sapunarova; Daniel Doykov; Vladimir Andonov; Petar Uchikov
Journal:  Diagnostics (Basel)       Date:  2022-01-27

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
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