Preview

Radiology - Practice

Advanced search

Comparison of the Diagnostic Value of Whole-body MRI with Diffusion-weighted Images, 18F-FDG Positron Emission Tomography Combined with Computer Tomography and Whole Body Computer Tomography in Metastatic Breast Cancer

Abstract

Breast cancer occupies a leading position in cancer morbidity and mortality. Accurate staging of the disease increases the chances of a high relapse-free survival. 18F-FDG PET/CT is considered the «gold standard» for diagnosing metastatic lesions in a number of cancers, including breast cancer. Diffusion-weighted imaging (DWI) is a specific pulse sequence that allows differentiation of the malignant process. The place of whole body DWI in the diagnostic algorithm for breast cancer is not defined. The aim of the work was to evaluate the possibilities of whole body DWI in comparison with 18F-FDG PET/CT and whole body CT for the local and distant spread of breast cancer. A comparison was made of diagnostic indicators, including sensitivity, specificity, positive and negative predictive value, accuracy. A whole body MRI with DWI demonstrated an advantage in diagnosing metastatic lesions of the liver and skeleton. The use of exclusively whole body MRI with DWI for staging and restaging of breast cancer is not justified due to the low specificity of detection of metastases of regional and distant lymph nodes. A whole body MRI with DWI may be recommended as a clarifying method after performing 18F-FDG PET/CT or whole body CT.

About the Authors

P. B. Gelezhe
Research and Practical Clinical Center of Diagnostics and Telemedicine Technologies, Department of Healthcare of Moscow
Russian Federation


S. P. Morozov
Research and Practical Clinical Center of Diagnostics and Telemedicine Technologies, Department of Healthcare of Moscow
Russian Federation


References

1. Dresen R., De Vuysere S., De Keyzer F. et al. Whole-body diffusion-weighted MRI for operability assessment in patients with colorectal cancer and peritoneal metastases // Cancer Imag. 2019. № 19:1.

2. Han S., Amant F., Michielsen K. et al. Feasibility of whole body diffusion-weighted MRI for detection of primary tumour, nodal and distant metastases in women with cancer during pregnancy: a pilot study // J. Magn. Reson. Imag. 2017. № 46 (6). P. 1707-1717.

3. Heusner T., Kuemmel S., Koeninger A. et al. Diagnostic value of diffusion-weighted magnetic resonance imaging (DWI compared to FDG PET/CT for whole-body breast cancer staging // Eur. J. of Nucl. Med. and Mol. Imag. 2010. № 6. P. 1077-1086.

4. Jung N., Kim H., Jung J. et al. Restaging the axilla after neo-adjuvant chemotherapy for breast cancer: Predictive factors for residual metastatic lymph node disease with negative imaging findings // Breast J. 2019. № 25 (2). P. 196-201.

5. Kitajima K., Yamano T., Miyoshi Yu. et al. Prognostic value of 18F-FDG PET/CT prior to breast cancer treatment. Comparison with magnetic resonance spectroscopy and diffusion weighted imaging // Hell. J. Nucl. Med. 2019. № 22(1). P. 25-35.

6. Kosmin M., Priya V., Mei-Lin A. et al. The addition of whole body magnetic resonance imaging to body computerised tomography alters treatment decisions in patients with metastatic breast cancer // Eur. J. of Cancer. № 77. P. 109-116.

7. Kwee T., Takahara T., Ochiai R. et al. Whole body diffusion-weighted magnetic resonance imaging // Eur. J. Radiol. 2009. № 70 (3). P. 409-417.

8. Li B., Li Q., Nie W. et al. Diagnostic value of whole body diffusion-weighted magnetic resonance imaging for detection of primary and metastatic malignancies: a meta-analysis // Eur. J. Radiol. 2014. № 83 (2). P. 338-344.

9. Liu B., Gao S., Li S. A. Comprehensive comparison of CT, MRI, positron emission tomography or positron emission tomography/CT, and diffusion weighted imaging-MRI for detecting the lymph nodes metastases in patients with cervical cancer: a meta-analysis based on 67 studies // Gynecol. Obstet. Invest. 2017. № 82 (3). P. 209-222.

10. Morone M., Bali M., Tunariu N. et al. Whole body MRI: current applications in oncology // Am. J. Roentgenol. 2017. № 209(6). P. 336-349.

11. Ohno Y., Yoshikawa T., Kishida Y. et al. Diagnostic performance of different imaging modalities in the assessment of distant metastasis and local recurrence of tumor in patients with non-small cell lung cancer // Eur. Radiol. 2018. № 28 (5). P. 1862-1874.

12. Orsaria P., Chiaravalloti A., Caredda E. et al. Evaluation of the usefulness of FDG-PET/CT for nodal staging of breast cancer // Anticancer Res. 2018. № 38 (12). P. 6639-6652.

13. Paruthikunnan S., Kadavigere R., Karegowda L. Accuracy of whole-body dwi for metastases screening in a diverse group of malignancies: comparison with conventional cross-sectional imaging and nuclear scintigraphy // Am. J. Roentgenol. 2017. № 209 (3). P. 477-490.

14. Rezk M., Nasr I., Ali I. et al. Comparative study between 18F FDG-PET/CT and whole body MRI DWIBS in assessment of recurrent breast cancer (prospective, comparative, cross-sectional study design // Ind. J. of Nucl. Med. 2019. № 34 (1). P. 1-9.

15. Schaarschmidt B., Buchbender C., Nensa F. et al. Correlation of the apparent diffusion coefficient (ADC. with the standardized uptake value (SUV in lymph node metastases of non-small cell lung cancer (NSCLC. patients using hybrid 18F-FDG PET/MRI // PLoS One. 2015. № 10 (1). P. 1-14.

16. Shen G., Ma H., Liu B. et al. Diagnostic Performance of DWI with multiple parameters for assessment and characterization of pulmonary lesions: a meta-analysis // Am. J. of Roentgenol. 2017. № 210. P. 1-10.

17. Xing H., Song C., Li W. Meta-analysis of lymph node metastasis of breast cancer patients: Clinical value of DWI and ADC value // Eur. J. Radiol. 2016. № 85 (60). P. 1132-1137.


Review

For citations:


Gelezhe P.B., Morozov S.P. Comparison of the Diagnostic Value of Whole-body MRI with Diffusion-weighted Images, 18F-FDG Positron Emission Tomography Combined with Computer Tomography and Whole Body Computer Tomography in Metastatic Breast Cancer. Radiology - Practice. 2019;(6):8-20. (In Russ.)

Views: 247


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2713-0118 (Online)