Evaluation of the diagnostic value of DWI with multiple synthetic b-values of breast lesions compared to dynamic contrast-enhanced breast MRI

https://doi.org/10.53730/ijhs.v9nS1.16033

Authors

  • Nadine Omar Abdel Moneim Department of Radiology, Faculty of Medicine, Suez Canal University, Egypt
  • Mohammed Refaat Habba Department of Radiology, Faculty of Medicine, Suez Canal University, Egypt
  • Azza Abdelhamid Gad Department of Radiology, Faculty of Medicine, Suez Canal University, Egypt
  • Ahmed Reda Mohammed Department of Radiology, Faculty of Medicine, Suez Canal University, Egypt
  • Ahmed El-Sayed Marie Department of Surgical Oncology, Faculty of Medicine, Suez Canal University, Egypt
  • Taghreed Alshafeiy Department of Radiology, Faculty of Medicine, Suez Canal University, Egypt

Keywords:

DWI, Synthetic b-values, Breast Cancer

Abstract

Background: Several studies have demonstrated that the sensitivity of unenhanced MRI with DWI was equal or superior to mammography; however, there is still room for improvement. Diffusion sensitivity, better known as “b- value,” has important implications for tumor conspicuity and can be controlled by modifying the magnitude and duration of the diffusion gradients. Aim: The aim of our study was to assess lesion visibility and the diagnostic performance of DWI for breast cancer detection by the addition of different synthetic b-values. Patients and Methods: this  prospective study is IRB approved. Patients presented for both screening and diagnostic purpose were included. All patients underwent breast MRI with DWI with addition of different synthetic b-values.  Three readers evaluated DWI with acquired synthetic b-800, b-1000, b-1200, b-1500, and b-1800 s/mm2 images. The readers determined the preferred b-value based on lesion visibility and conspicuity. Results: One hundred and fourteen patients met our study criteria. One hundred twenty-five breast lesions in 114 women were detected. The mean age of our population is (39.6 ± 5.9 years old) ranged from 30 to 50 years old. Lesion size ranged from 5 to 100 mm with mean size of (25.9 ± 16.9 mm).

Downloads

Download data is not yet available.

References

Shin HJ, Chae EY, Choi WJ, Ha SM, Park JY, Shin KC, et al. Diagnostic Performance of Fused Diffusion-Weighted Imaging Using Unenhanced or Postcontrast T1-Weighted MR Imaging in Patients With Breast Cancer. Medicine (Baltimore) [Internet]. 2016 Apr;95(17):e3502–e3502. Available from: https://pubmed.ncbi.nlm.nih.gov/27124054 DOI: https://doi.org/10.1097/MD.0000000000003502

DeBruhl ND, Lee SJ, Mahoney MC, Hanna L, Tuite C, Gatsonis CA, et al. MRI Evaluation of the Contralateral Breast in Women with Recently Diagnosed Breast Cancer: 2-Year Follow-up. J breast imaging [Internet]. 2020;2(1):50–5. Available from: https://pubmed.ncbi.nlm.nih.gov/32055797/ DOI: https://doi.org/10.1093/jbi/wbz053

Mus RD, Borelli C, Bult P, Weiland E, Karssemeijer N, Barentsz JO, et al. Time to enhancement derived from ultrafast breast MRI as a novel parameter to discriminate benign from malignant breast lesions. Eur J Radiol [Internet]. 2017;89:90–6. Available from: https://pubmed.ncbi.nlm.nih.gov/28267555/ DOI: https://doi.org/10.1016/j.ejrad.2017.01.020

Pan Y, Guan H, Zhou S, Wang Y, Li Q, Zhu T, et al. Initial CT findings and temporal changes in patients with the novel coronavirus pneumonia (2019-nCoV): a study of 63 patients in Wuhan, China. Eur Radiol [Internet]. 2020/02/13. 2020 Jun;30(6):3306–9. Available from: https://pubmed.ncbi.nlm.nih.gov/32055945 DOI: https://doi.org/10.1007/s00330-020-06731-x

Jansen SA, Shimauchi A, Zak L, Fan X, Karczmar GS, Newstead GM. The diverse pathology and kinetics of mass, nonmass, and focus enhancement on MR imaging of the breast. J Magn Reson Imaging [Internet]. 2011;33(6):1382–9. Available from: https://pubmed.ncbi.nlm.nih.gov/21591007/ DOI: https://doi.org/10.1002/jmri.22567

Yeh ED, Georgian-Smith D, Raza S, Bussolari L, Pawlisz-Hoff J, Birdwell RL. Positioning in breast MR imaging to optimize image quality. Radiographics [Internet]. 2014;34(1). Available from: https://pubmed.ncbi.nlm.nih.gov/24428300/ DOI: https://doi.org/10.1148/rg.341125193

Kooreman ES, van Houdt PJ, Keesman R, Pos FJ, van Pelt VWJ, Nowee ME, et al. ADC measurements on the Unity MR-linac – a recommendation on behalf of the Elekta Unity MR-linac consortium. Radiother Oncol [Internet]. 2020;153:106. Available from: /pmc/articles/PMC8327388/ DOI: https://doi.org/10.1016/j.radonc.2020.09.046

Westra C, Dialani V, Mehta TS, Eisenberg RL. Using T2-weighted sequences to more accurately characterize breast masses seen on MRI. AJR Am J Roentgenol [Internet]. 2014;202(3). Available from: https://pubmed.ncbi.nlm.nih.gov/24555613/ DOI: https://doi.org/10.2214/AJR.13.11266

D’Orsi C, Bassett L, Feig S. Breast imaging reporting and data system (BI-RADS). Breast imaging atlas, 4th edn Am Coll Radiol Rest. 2018; DOI: https://doi.org/10.1093/med/9780190270261.003.0005

Kul S, Metin Y, Kul M, Metin N, Eyuboglu I, Ozdemir O. Assessment of breast mass morphology with diffusion-weighted MRI: Beyond apparent diffusion coefficient. J Magn Reson Imaging [Internet]. 2018;48(6):1668–77. Available from: http://dx.doi.org/10.1002/jmri.26175 DOI: https://doi.org/10.1002/jmri.26175

You W, Symonds I, Rühli FJ, Henneberg M. Decreasing Birth Rate Determining Worldwide Incidence and Regional Variation of Female Breast Cancer. Adv Breast Cancer Res [Internet]. 2018;07(01):1–14. Available from: http://dx.doi.org/10.4236/abcr.2018.71001 DOI: https://doi.org/10.4236/abcr.2018.71001

Koh DM, Collins DJ. Diffusion-Weighted MRI in the Body: Applications and Challenges in Oncology. Am J Roentgenol [Internet]. 2007;188(6):1622–35. Available from: http://dx.doi.org/10.2214/ajr.06.1403 DOI: https://doi.org/10.2214/AJR.06.1403

Daimiel Naranjo I, Lo Gullo R, Saccarelli C, Thakur SB, Bitencourt A, Morris EA, et al. Diagnostic value of diffusion-weighted imaging with synthetic b-values in breast tumors: comparison with dynamic contrast-enhanced and multiparametric MRI. Eur Radiol. 2021;31:356–67. DOI: https://doi.org/10.1007/s00330-020-07094-z

Lin CX, Tian Y, Li JM, Liao ST, Liu YT, Zhan RG, et al. Diagnostic value of multiple b-value diffusion-weighted imaging in discriminating the malignant from benign breast lesions. BMC Med Imaging. 2023;23(1):1–12. DOI: https://doi.org/10.1186/s12880-022-00950-y

Pinker K, Moy L, Sutton EJ, Mann RM, Weber M, Thakur SB, et al. Diffusion-Weighted Imaging With Apparent Diffusion Coefficient Mapping for Breast Cancer Detection as a Stand-Alone Parameter: Comparison With Dynamic Contrast-Enhanced and Multiparametric Magnetic Resonance Imaging. Invest Radiol [Internet]. 2018 Oct;53(10):587–95. Available from: https://pubmed.ncbi.nlm.nih.gov/29620604 DOI: https://doi.org/10.1097/RLI.0000000000000465

Chen X, He XJ, Jin R, Guo YM, Zhao X, Kang HF, et al. Conspicuity of breast lesions at different b values on diffusion-weighted imaging. BMC Cancer [Internet]. 2012 Aug 2;12:334. Available from: https://pubmed.ncbi.nlm.nih.gov/22853049 DOI: https://doi.org/10.1186/1471-2407-12-334

Tamura T, Takasu M, Higaki T, Yokomachi K, Akiyama Y, Sumida H, et al. How to Improve the Conspicuity of Breast Tumors on Computed High b-value Diffusion-weighted Imaging. Magn Reson Med Sci [Internet]. 2018/07/13. 2019 Apr 10;18(2):119–25. Available from: https://pubmed.ncbi.nlm.nih.gov/30012905 DOI: https://doi.org/10.2463/mrms.mp.2018-0011

Rosenkrantz AB, Hindman N, Lim RP, Das K, Babb JS, Mussi TC, et al. Diffusion-weighted imaging of the prostate: Comparison of b1000 and b2000 image sets for index lesion detection. J Magn Reson Imaging [Internet]. 2013;38(3):694–700. Available from: http://dx.doi.org/10.1002/jmri.24016 DOI: https://doi.org/10.1002/jmri.24016

Amornsiripanitch N, Bickelhaupt S, Shin HJ, Dang M, Rahbar H, Pinker K, et al. Diffusion-weighted MRI for Unenhanced Breast Cancer Screening. Radiology [Internet]. 2019/10/08. 2019 Dec;293(3):504–20. Available from: https://pubmed.ncbi.nlm.nih.gov/31592734 DOI: https://doi.org/10.1148/radiol.2019182789

Baltzer P, Mann RM, Iima M, Sigmund EE, Clauser P, Gilbert FJ, et al. Diffusion-weighted imaging of the breast-a consensus and mission statement from the EUSOBI International Breast Diffusion-Weighted Imaging working group. Eur Radiol [Internet]. 2019/11/30. 2020 Mar;30(3):1436–50. Available from: https://pubmed.ncbi.nlm.nih.gov/31786616 DOI: https://doi.org/10.1007/s00330-019-06510-3

Baltzer PAT, Bickel H, Spick C, Wengert G, Woitek R, Kapetas P, et al. Potential of Noncontrast Magnetic Resonance Imaging With Diffusion-Weighted Imaging in Characterization of Breast Lesions: Intraindividual Comparison With Dynamic Contrast-Enhanced Magnetic Resonance Imaging. Invest Radiol [Internet]. 2018 Apr;53(4):229–35. Available from: https://pubmed.ncbi.nlm.nih.gov/29190227 DOI: https://doi.org/10.1097/RLI.0000000000000433

Published

15-04-2025

How to Cite

Moneim, N. O. A., Habba, M. R., Gad, A. A., Mohammed, A. R., El-Sayed Marie, A., & Alshafeiy, T. (2025). Evaluation of the diagnostic value of DWI with multiple synthetic b-values of breast lesions compared to dynamic contrast-enhanced breast MRI. International Journal of Health Sciences, 9(S1), 720–732. https://doi.org/10.53730/ijhs.v9nS1.16033

Issue

Section

Peer Review Articles