Research Article
BibTex RIS Cite
Year 2022, Volume: 8 Issue: 6, 882 - 891, 04.11.2022
https://doi.org/10.18621/eurj.933709

Abstract

References

  • 1. Min Q, Shao K, Zhai L, Liu W, Zhu C, Yuan L, et al. Differential diagnosis of benign and malignant breast masses using diffusion-weighted magnetic resonance imaging. World J Surg Oncol 2015;13:32.
  • 2. Bozkurt BT, Koç G, Sezgin G, Altay C, Fazıl Gelal M, Oyar O. Value of apparent diffusion coefficient values in differentiating malignant and benign breast lesions. Balkan Med J 2016;33:294-300.
  • 3. Kul S, Cansu A, Alhan E, Dinc H, Gunes G, Reis A. Contribution of diffusion-weighted imaging to dynamic contrast-enhanced MRI in the characterization of breast tumors. AJR Am J Roentgenol 2011;196:210-7.
  • 4. Pereira FPA, Martins G, Figueiredo E, Domingues MNA, Domingues RC, da Fonseca LMB, et al. Assessment of breast lesions with diffusion-weighted MRI: comparing the use of different b values. AJR Am J Roentgenol 2009;193:1030-5.
  • 5. Gilles R, Guinebretière JM, Lucidarme O, Cluzel P, Janaud G, Finet JF, et al. Nonpalpable breast tumors: diagnosis with contrast enhanced subtraction dynamic MR imaging. Radiology 1994;191:625-31.
  • 6. Boetes C, Strijk SP, Holland R, Barentsz JO, Van Der Sluis RF, Ruijs JH. False-negative MR imaging of malignant breast tumors. Eur Radiol 1997;7:1231-4.
  • 7. Ghai S, Muradali D, Bukhanov K, Kulkarni S. Nonenhancing breast malignancies on MRI: sonographic and pathologic correlation. AJR Am J Roentgenol 2005;185:481-7.
  • 8. Partridge SC, Nissan N, Rahbar H, Kitsch AE, Sigmund EE. Diffusion-weighted breast MRI: Clinical applications and emerging techniques. J Magn Reson Imaging 2016;45:337-55.
  • 9. Bammer R. Basic principles of diffusion-weighted imaging. Eur J Radiol 2003;45:169-84.
  • 10. Woodhams R, Ramadan S, Stanwell P, Sakamoto S, Hata H, Ozaki M, et al. Diffusion-weighted imaging of the breast: principles and clinical applications. Radiographics 2011;31:1059-1084.
  • 11. Toslak IE, Cekic B, Turk A Eraslan, Parlak AE. Evaluation of diffusion-weighted MR imaging as a technique for detecting bone marrow edema in patients with osteitis pubis. Magn Reson Med Sci 2017;16:317-24.
  • 12. Toslak IE, Filiz MB, Çekiç B, Parlak AE, Çay HF, Yildiz S, et al. Application of diffusion-weighted imaging in the detection of active sacroiliitis and the comparison of apparent diffusion coefficient and relative apparent diffusion coefficient values. Arch Reumatol 2016 ;31:254-64.
  • 13. Gity M, Moradi B, Arami R, Kheradmand A, Kazemi MA. Two different methods of region-of-interest placement for differentiation of benign and malignant breast lesions by apparent diffusion coefficient value. Asian Pac J Cancer Prev 2018;19:2765-70.
  • 14. Guo Y, Cai YQ, Cai ZL, Gao YG, An NY, Ma L, et al. Differentiation of clinically benign and malignant breast lesion using diffusion-weighted imaging. J Magn Reson Imaging 2002;16:172-8.
  • 15. Shinha S, Lucas-Quesada F. In vivo diffusion-weighted MRI of the breast: potential for lesion characterization. J Magn Reson Imaging 2002;15:693-704.
  • 16. Zhu P, Wang YF, Huang H, Liu Q, Chen Y, Tan J. [Study of apparent diffusion coefficient value in breasts of different ages and different menstrual phases]. Chin J Radiol 2011;45:538-42. [Article in Chinese]
  • 17. Partridge SC, McKinnon GC, Henry RG, Hyltone NM. Menstrual cycle variation of apparent diffusion coefficients measured in the normal breast using MRI. J Magn Reson Imaging 2001;14:433-8.
  • 18. Park SO, Kim JK, Kim KA, Park BW, Kim N, Cho G, et al. Relative apparent diffusion coefficient: Determination of reference site and validation of benefit for detecting metastatic lymph nodes in uterine cervical cancer. J Magn Reson Imaging 2009;29:383-90.
  • 19. Xie CM, Yin SH, Li H, Liu XW, Zhang Y, Lü YC et al. [Diagnostic value of ADC and rADC of diffusion weighted imaging in malignant breast lesions.] Zhonghua Zhong Liu Za Zhi 2010;32:217-20. [Article in Chinese]
  • 20. Ozcan U, Oz A, Ulus S. The role of apparent diffusion coefficient (ADC) and relative ADC in the evaluation of breast masses. ECR 2014/C-1749 Vienna, Austria.
  • 21. Ducatman BS, Emery ST, Wang HH. Correlation of histologic grade of breast carcinoma with cytologic features on fi ne-needle aspiration of the breast. Mod Pathol 1993;6:539-43.
  • 22. Sugahara T, Korogi Y, Kochi M, Ikushima I, Shigematu Y, Hirai T, et al. Usefulness of diffusion-weighted MRI with echo-planar technique in the evaluation of cellularity in gliomas. J Magn Reson Imaging 1999;9:53-60.
  • 23. Lyng H, Garaldseth O, Rofstad EK. Measurement of cell density and necrotic fraction in human melanoma xenografts by diffusion weighted magnetic resonance imaging. Magn Reson Med 2000;43: 828-36.
  • 24. Park MJ, Cha ES, Kang BJ, Ihn YK, Baik JH. The role of diffusion-weighted imaging and the apparent diffusion coefficient (ADC) values for breast tumors. Korean J Radiol 2007;8:390-6.
  • 25. Hirano M, Satake H, Ishigaki S, Ikeda M, Kawai H, Naganawa S. Diffusion-weighted imaging of breast masses: Comparison of diagnostic performance using various apparent diffusion coefficient parameters. AJR Am J Roentgenology 2012;198:717-22.
  • 26. Akın Y, Uğurlu MÜ, Kaya H, Arıbal E. Diagnostic value of diffusion-weighted Imaging and apparent diffusion coefficient values in the differentiation of breast lesions, histopathologic subgroups and correlation with prognostic factors using 3.0 Tesla MR. J Breast Health 2016;12:123-32.
  • 27. Khouli RHE, Jacobs MA, Mezban SD, Huang P, Kamel IR, Macura KJ, et al. Diffusion-weighted imaging improves the diagnostic accuracy of conventional 3.0-T breast MR imaging. Radiology 2010;256:64-73.
  • 28. Yılmaz E, Sarı O, Yılmaz A, Ucar N, Aslan A, Inan I, et al. Diffusion-weighted imaging for the discrimination of benign and malignant breast masses; utility of ADC and relative ADC. J Belg Soc Radiol 2018;102:24.
  • 29. Şahin C, Arıbal E. The role of apparent diffusion coefficient values in the differential diagnosis of breast lesions in diffusion-weighted MRI. Diagn Interv Radiol 2013;19:457-62.
  • 30. Nadrljanski MM, Milosevic ZC. Relative apparent diffusion coefficient (rADC) in breast lesions of uncertain malignant potential (B3 lesions) and pathologically proven breast carcinoma (B5 lesions) following breast biopsy. Eur J Radiol 2020;124:108854.
  • 31. Yoshikawa MI, Ohsumi S, Sugata S, Kataoka M, Takashima S, Mochizuki T, et al. Relation between cancer cellularity and apparent diffusion coefficient values using diffusion-weighted magnetic resonance imaging in breast cancer. Radiat Med 2008;26:222-6.
  • 32. Tao WJ, Zhang HX, Zhang LM, Gao F, Huang W, Liu Y, et al. Combined application of pharmacokinetic DCE-MRI and IVIM-DWI could improve detection efficiency in early diagnosis of ductal carcinoma in situ. J Appl Clin Med Phys 2019;20:142-50.
  • 33. Hatakenaka M, Soeda H, Yabuuchi H, Matsuo Y, Kamitani T, Oda Y, et al. Apparent diffusion coefficients of breast tumors: clinical application. Magn Reson Med Sci 2008;7:23-9.
  • 34. Kinoshita T, Yashiro N, Ihara N, Funatu H, Fukuma E, Narita M. Diffusion-weighted half-Fourier single-shot turbo spin echo imaging in breast tumors: differentiation of invasive ductal carcinoma from fibroadenoma. J Comput Assist Tomogr 2002;26:1042-6.

Comparison of apparent diffusion coefficient and relative apparent diffusion coefficient values for differential diagnosis of breast lesions

Year 2022, Volume: 8 Issue: 6, 882 - 891, 04.11.2022
https://doi.org/10.18621/eurj.933709

Abstract

Objectives: The purpose the study was to evaluate the role of diffusion weighted magnetic resonance imaging (DW-MRI) in diagnosis of benign and malignant breast lesions, to calculate a cut-off apparent diffusion coefficient (ADC) value and to explore use of relative ADC (r ADC) for improving sensitivity and specificity of MRI in diagnosis of breast cancer.


Methods:
This retrospective study based on a cohort of patients who underwent dynamic contrast enhanced (DCE)-MRI having suspicious breast mass by ultrasonography and mammography to whom DWI sequence was added to the routine diagnostic MRI. ADC and r ADC (lesion/normal breast tissue) values of breast masses were calculated. The threshold ADC values used to differentiate benign and malignant lesions were determined using receiver operating characteristic analysis, sensitivity, specificity, positive predictive value and negative predictive value were calculated.


Results:
Malignant masses had significantly lower ADC (mean: 1.03 ± 0.36 × 10-3 mm2/s) and r ADC (mean: 0.66 ± 0.22 × 10-3 mm2/s) values than those of benign masses with ADC (mean: 1.50 ± 0.56 × 10−3 mm2/s) and r ADC (mean: 0.97 ± 0.31 × 10-3 mm2/s) values, respectively (p = 0.001 for both). The best cut-off value for the lesion ADC was 1.09 × 10-3 mm2/s with a sensitivity of 72.73%, and specificity of 79.17%. The best cut-off value for r ADC was 0.83 with sensitivity of 78.79% and specificity of 70.83%.


Conclusions:
DWI has high diagnostic value with high sensitivity and specificity differentiating benign and malignant breast lesions. ADC and r ADC values can improve the diagnostic accuracy of differentiating benign and malignant breast lesions.

References

  • 1. Min Q, Shao K, Zhai L, Liu W, Zhu C, Yuan L, et al. Differential diagnosis of benign and malignant breast masses using diffusion-weighted magnetic resonance imaging. World J Surg Oncol 2015;13:32.
  • 2. Bozkurt BT, Koç G, Sezgin G, Altay C, Fazıl Gelal M, Oyar O. Value of apparent diffusion coefficient values in differentiating malignant and benign breast lesions. Balkan Med J 2016;33:294-300.
  • 3. Kul S, Cansu A, Alhan E, Dinc H, Gunes G, Reis A. Contribution of diffusion-weighted imaging to dynamic contrast-enhanced MRI in the characterization of breast tumors. AJR Am J Roentgenol 2011;196:210-7.
  • 4. Pereira FPA, Martins G, Figueiredo E, Domingues MNA, Domingues RC, da Fonseca LMB, et al. Assessment of breast lesions with diffusion-weighted MRI: comparing the use of different b values. AJR Am J Roentgenol 2009;193:1030-5.
  • 5. Gilles R, Guinebretière JM, Lucidarme O, Cluzel P, Janaud G, Finet JF, et al. Nonpalpable breast tumors: diagnosis with contrast enhanced subtraction dynamic MR imaging. Radiology 1994;191:625-31.
  • 6. Boetes C, Strijk SP, Holland R, Barentsz JO, Van Der Sluis RF, Ruijs JH. False-negative MR imaging of malignant breast tumors. Eur Radiol 1997;7:1231-4.
  • 7. Ghai S, Muradali D, Bukhanov K, Kulkarni S. Nonenhancing breast malignancies on MRI: sonographic and pathologic correlation. AJR Am J Roentgenol 2005;185:481-7.
  • 8. Partridge SC, Nissan N, Rahbar H, Kitsch AE, Sigmund EE. Diffusion-weighted breast MRI: Clinical applications and emerging techniques. J Magn Reson Imaging 2016;45:337-55.
  • 9. Bammer R. Basic principles of diffusion-weighted imaging. Eur J Radiol 2003;45:169-84.
  • 10. Woodhams R, Ramadan S, Stanwell P, Sakamoto S, Hata H, Ozaki M, et al. Diffusion-weighted imaging of the breast: principles and clinical applications. Radiographics 2011;31:1059-1084.
  • 11. Toslak IE, Cekic B, Turk A Eraslan, Parlak AE. Evaluation of diffusion-weighted MR imaging as a technique for detecting bone marrow edema in patients with osteitis pubis. Magn Reson Med Sci 2017;16:317-24.
  • 12. Toslak IE, Filiz MB, Çekiç B, Parlak AE, Çay HF, Yildiz S, et al. Application of diffusion-weighted imaging in the detection of active sacroiliitis and the comparison of apparent diffusion coefficient and relative apparent diffusion coefficient values. Arch Reumatol 2016 ;31:254-64.
  • 13. Gity M, Moradi B, Arami R, Kheradmand A, Kazemi MA. Two different methods of region-of-interest placement for differentiation of benign and malignant breast lesions by apparent diffusion coefficient value. Asian Pac J Cancer Prev 2018;19:2765-70.
  • 14. Guo Y, Cai YQ, Cai ZL, Gao YG, An NY, Ma L, et al. Differentiation of clinically benign and malignant breast lesion using diffusion-weighted imaging. J Magn Reson Imaging 2002;16:172-8.
  • 15. Shinha S, Lucas-Quesada F. In vivo diffusion-weighted MRI of the breast: potential for lesion characterization. J Magn Reson Imaging 2002;15:693-704.
  • 16. Zhu P, Wang YF, Huang H, Liu Q, Chen Y, Tan J. [Study of apparent diffusion coefficient value in breasts of different ages and different menstrual phases]. Chin J Radiol 2011;45:538-42. [Article in Chinese]
  • 17. Partridge SC, McKinnon GC, Henry RG, Hyltone NM. Menstrual cycle variation of apparent diffusion coefficients measured in the normal breast using MRI. J Magn Reson Imaging 2001;14:433-8.
  • 18. Park SO, Kim JK, Kim KA, Park BW, Kim N, Cho G, et al. Relative apparent diffusion coefficient: Determination of reference site and validation of benefit for detecting metastatic lymph nodes in uterine cervical cancer. J Magn Reson Imaging 2009;29:383-90.
  • 19. Xie CM, Yin SH, Li H, Liu XW, Zhang Y, Lü YC et al. [Diagnostic value of ADC and rADC of diffusion weighted imaging in malignant breast lesions.] Zhonghua Zhong Liu Za Zhi 2010;32:217-20. [Article in Chinese]
  • 20. Ozcan U, Oz A, Ulus S. The role of apparent diffusion coefficient (ADC) and relative ADC in the evaluation of breast masses. ECR 2014/C-1749 Vienna, Austria.
  • 21. Ducatman BS, Emery ST, Wang HH. Correlation of histologic grade of breast carcinoma with cytologic features on fi ne-needle aspiration of the breast. Mod Pathol 1993;6:539-43.
  • 22. Sugahara T, Korogi Y, Kochi M, Ikushima I, Shigematu Y, Hirai T, et al. Usefulness of diffusion-weighted MRI with echo-planar technique in the evaluation of cellularity in gliomas. J Magn Reson Imaging 1999;9:53-60.
  • 23. Lyng H, Garaldseth O, Rofstad EK. Measurement of cell density and necrotic fraction in human melanoma xenografts by diffusion weighted magnetic resonance imaging. Magn Reson Med 2000;43: 828-36.
  • 24. Park MJ, Cha ES, Kang BJ, Ihn YK, Baik JH. The role of diffusion-weighted imaging and the apparent diffusion coefficient (ADC) values for breast tumors. Korean J Radiol 2007;8:390-6.
  • 25. Hirano M, Satake H, Ishigaki S, Ikeda M, Kawai H, Naganawa S. Diffusion-weighted imaging of breast masses: Comparison of diagnostic performance using various apparent diffusion coefficient parameters. AJR Am J Roentgenology 2012;198:717-22.
  • 26. Akın Y, Uğurlu MÜ, Kaya H, Arıbal E. Diagnostic value of diffusion-weighted Imaging and apparent diffusion coefficient values in the differentiation of breast lesions, histopathologic subgroups and correlation with prognostic factors using 3.0 Tesla MR. J Breast Health 2016;12:123-32.
  • 27. Khouli RHE, Jacobs MA, Mezban SD, Huang P, Kamel IR, Macura KJ, et al. Diffusion-weighted imaging improves the diagnostic accuracy of conventional 3.0-T breast MR imaging. Radiology 2010;256:64-73.
  • 28. Yılmaz E, Sarı O, Yılmaz A, Ucar N, Aslan A, Inan I, et al. Diffusion-weighted imaging for the discrimination of benign and malignant breast masses; utility of ADC and relative ADC. J Belg Soc Radiol 2018;102:24.
  • 29. Şahin C, Arıbal E. The role of apparent diffusion coefficient values in the differential diagnosis of breast lesions in diffusion-weighted MRI. Diagn Interv Radiol 2013;19:457-62.
  • 30. Nadrljanski MM, Milosevic ZC. Relative apparent diffusion coefficient (rADC) in breast lesions of uncertain malignant potential (B3 lesions) and pathologically proven breast carcinoma (B5 lesions) following breast biopsy. Eur J Radiol 2020;124:108854.
  • 31. Yoshikawa MI, Ohsumi S, Sugata S, Kataoka M, Takashima S, Mochizuki T, et al. Relation between cancer cellularity and apparent diffusion coefficient values using diffusion-weighted magnetic resonance imaging in breast cancer. Radiat Med 2008;26:222-6.
  • 32. Tao WJ, Zhang HX, Zhang LM, Gao F, Huang W, Liu Y, et al. Combined application of pharmacokinetic DCE-MRI and IVIM-DWI could improve detection efficiency in early diagnosis of ductal carcinoma in situ. J Appl Clin Med Phys 2019;20:142-50.
  • 33. Hatakenaka M, Soeda H, Yabuuchi H, Matsuo Y, Kamitani T, Oda Y, et al. Apparent diffusion coefficients of breast tumors: clinical application. Magn Reson Med Sci 2008;7:23-9.
  • 34. Kinoshita T, Yashiro N, Ihara N, Funatu H, Fukuma E, Narita M. Diffusion-weighted half-Fourier single-shot turbo spin echo imaging in breast tumors: differentiation of invasive ductal carcinoma from fibroadenoma. J Comput Assist Tomogr 2002;26:1042-6.
There are 34 citations in total.

Details

Primary Language English
Subjects Radiology and Organ Imaging
Journal Section Original Articles
Authors

Ayşe Eda Parlak 0000-0003-4210-7554

Buket Yağcı 0000-0003-3819-136X

Publication Date November 4, 2022
Submission Date May 22, 2021
Acceptance Date November 26, 2021
Published in Issue Year 2022 Volume: 8 Issue: 6

Cite

AMA Parlak AE, Yağcı B. Comparison of apparent diffusion coefficient and relative apparent diffusion coefficient values for differential diagnosis of breast lesions. Eur Res J. November 2022;8(6):882-891. doi:10.18621/eurj.933709

e-ISSN: 2149-3189 


The European Research Journal, hosted by Turkish JournalPark ACADEMIC, is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

by-nc-nd.png

2024