The Role of Diffusion-weighted MRI and Follow-up Contrast-enhanced MRI in Correlation with the Adnexa MR Scoring System in the Diagnosis of Uterine Appendage Tumors
https://doi.org/10.20862/0042-4676-2019-100-2-116-124
Abstract
The paper analyzes the data available in the foreign and Russian literature over the past 10 years on main radiodiagnostic techniques and approaches in case of ovarian space-occupying lesions, by using both ultrasonic color Doppler mapping and complex MRI approaches in combination with routine MRI, diffusion-weighted MRI studies, and follow-up contrast-enhanced MRI. It shows that only the comprehensive introduction of the above radiodiagnostic techniques can achieve the necessary sensitivity and specificity of diagnosis of ovarian tumors. The system for assessing the risk index for ovarian tumor malignancy is discussed, by taking into account the menopausal status, the tumor marker CA-125, and ultrasonographic findings. The paper presents the Adnexa MR scoring system based on the breast imaging-reporting and data system (BI-RADS) that gives schemes for calculating and analyzing the risk of ovarian tumor malignancy in terms of certain MR criteria.
About the Authors
B. P. OlimovRussian Federation
Bekhruz P. Olimov, Postgraduate
ul. Barrikadnaya, 2/1, stroenie 1, Moscow, 125993
F. A. Kossov
Russian Federation
Filipp A. Kossov, Postgraduate
ul. Barrikadnaya, 2/1, stroenie 1, Moscow, 125993
O. N. Strel’tsova
Russian Federation
Ol’ga N. Strel’tsova, Cand. Med. Sc., Radiologist, Research Institute of Clinical and Experimental Radiology
Kashirskoe shosse, 23, Moscow, 115478
V. O. Panov
Russian Federation
Vadim O. Panov, Cand. Med. Sc., Associate Professor of Chair of Radiology, Russian Medical Academy of Continuing Professional Education, Ministry of Health of the Russian Federation; Leading Researcher, Research Institute of Clinical and Experimental Radiology, N.N. Blokhin National Medical Research Center of Oncology, Ministry of Health of the Russian Federation
ul. Barrikadnaya, 2/1, stroenie 1, Moscow, 125993, Kashirskoe shosse, 23, Moscow, 115478
I. V. Panichenko
Russian Federation
Igor’ V. Panichenko, Dr. Med. Sc.
Kashirskoe shosse, 23, Moscow, 115478
Yu. V. Buydenok
Russian Federation
Yuriy V. Buydenok, Dr. Med. Sc., Professor, Leading Researcher, Research Institute of Clinical and Experimental Radiology
Kashirskoe shosse, 23, Moscow, 115478
I. E. Tyurin
Russian Federation
Igor’ E. Tyurin, Dr. Med. Sc., Professor, Chief of Radiology Chair, Russian Medical Academy of Continuing Professional Education, Ministry of Health of the Russian Federation; Leading Researcher, Research Institute of Clinical and Experimental Radiology, N.N. Blokhin National Medical Research Center of Oncology, Ministry of Health of the Russian Federation
ul. Barrikadnaya, 2/1, stroenie 1, Moscow, 125993, Kashirskoe shosse, 23, Moscow, 115478
References
1. Wanqing Chen, Rongshou Zheng, Peter P.D., Zhang S., Zeng H., Bray F. et al. Cancer statistics in China, 2015. CA Cancer J. Clin. 2016; 66: 115–32. DOI: 10.3322/caac.21338
2. Fang Wang, Yanfen Ye, Xia Xu, Xuehui Zhou, Jinhua Wang, Xiaoxiang Chen. CA-125-indicated asymptomatic relapse confers survival benefit to ovarian cancer patients who underwent secondary cytoreduction surgery. J. Ovarian. Res. 2013; 6; 14. DOI: 10.1186/1757-2215-6-14
3. Bast R.C., Badgwell D., Lu Z., Marquez R., Rosen D., Liu J.S. et al. New tumor markers: CA 125 and beyond. Int. J. Gynecol. Cancer. 2005; 15 (Suppl. 3): 274–81. DOI: 10.1111/j.1525-1438.2005.00441
4. Coccia M.E., Rizzello F., Romanelli Ch., Capezzuoli T. Adnexal masses: what is the role of ultrasonographic imaging? Arch. Gynecol. Obstet. 2014; 290: 843–54. DOI: 10.1007/s00404-014-3327-0
5. Foti P.V., Attina G., Spadola S., Caltabiano R., Forina R., Palmucci S., Ettore G.C. MR imaging of ovarian masses: classification and differential diagnosis. Insights Imaging. 2016; 7 (1): 21–41. DOI: 10.1007/s13244-015-0455-4
6. Mohaghegh P., Rockall A.G. Imaging strategy for early ovarian cancer: characterization of adnexal masses with conventional and advanced imaging techniques. RadioGraphics. 2012; 32 (6): 1751–73. DOI: 10.1148/rg.326125520
7. Palmeiro M.M., Cunha T.M. MRI Classification of the Sonographically Indeterminated Adnexal Lesion. Acta Radiol. Portug. Maio-Agosto. 2016; XXVIII (108): 37–47.
8. Sohaib S.A., Mills T.D., Sahdev A., Webb J.A., Jacobs I.J., Reznek R.H. The role of magnetic resonance imaging and ultrasound in patients with adnexal masses. Royal Coll. Radiol. Clin. Radiol. 2005; 60: 340–8. DOI: 10.1016/j/crad2004.09.007
9. Foti P.V., Milone P., Caltabiano R. MR imaging of ovarian masses: classification and differential diagnosis. Insights Imaging. 2016; 7 (1): 21–41. DOI: 10.1007/s13244-015-0455-4
10. Thomassin-Naggara I., Toussaint I., Perrot N., Rouzier R., Bazot M., Darai E. Characterization of complex adnexal masses: value of adding perfusion- and diffusion-weighted MR imaging to conventional MR imaging. Radiology. 2011; 258 (3): 793–803. DOI: 10.1148/radiol.10100751
11. Thomassin-Naggara I., Daraї E., Cuenod Ch.A., Fournier L.S. Contribution of diffusion-weighted MR imaging for predicting benignity of complex adnexal masses. Eur. Soc. Radiol. 2009. DOI: 10.1007/s00330-009-1299-4
12. Forstner R., Thamassin-Naggara I., Cunha T.N., Kinkel K., Masselli G., Spencer J.A., Rockall A. ESUR recommendations for MR omaging of the sonographically indeterminate adnexal mass: an update. Eur. Radiol. 2017; 27 (Issue 6): 2248–57. DOI: 10.1007/soo330-016-4600-3
13. Mansour S., Wessam R., Raafat M. Diffusion-weighted magnetic resonance imaging in the assessment of ovarian masses with suspicious features: strengths and challenges Radiology Department (Women’s Imaging Unit). Cairo: Kasr El Ainy Hospital, Cairo University, Egypt; 2015.
14. Vargas H.A., Barrett T., Sala E. MRI of ovarian masses. J. Magn. Reson. Imaging. 2013; 37 (2): 265–81. DOI: 10.1002/jmri.23721
15. Fan X., Zhang H., Meng S., Zhang J., Zhang C. Role of diffusion-weighted magnetic resonance imaging in differentiating malignancies from benign ovarian tumors. Int. J. Clin. Exp. Med. 2015; 8 (11): 19928–37. PMID 26884905
16. Bekiesinska-Figatowska M., Bragoszewska H., Uliasz M., Ceran A., Olzewski A. Magnetic resonance imaging as a diagnostic tool in case of ovarian masses in girls and young women. Med. Sci. Monit. 2007; 13 (1): 116–20. DOI: 10.12659/PJR.900071
17. Fujii S., Kakite S., Nishihara K., Nishihara K., Kanasaki Y., Harada T., Ogawa T. Diagnostic accuracy of diffusionweighted imaging in differentiating benign from malignant ovarian lesions. J. Magn. Reson. Imaging. 2008; 28 (5): 1149–56. DOI: 10.1002/jmri.21575
18. Zhang H., Zhang G.F., He Z.Y., Li Z.Y., Zhu M., Zhang G.X. Evaluation of primary adnexal masses by 3T MRI: categorization with conventional MR imaging and diffusionweighted imaging. J. Ovarian. Res. 2012; 5 (1): 33. DOI: 10.1186/1757-2215-5-33
19. Hyun-Jung Kim, So-Yeon Lee, Shin Y.R., Park S.C., Kim K. The value of diffusion-weighted imaging in the differential diagnosis of ovarian lesions: a meta-analysis. PLoS ONE. 2016; 11 (2): e0149465. DOI: 10.1371/journal.pone.0149465
20. Yamashita Y., Tang Y., Takahashi M. Ultrafast MR imaging of the abdomen: echo planar imaging and diffusion-weighted imaging. J. Magn. Reson. Imag. DOI: 10.1002/jmri.1880080216
21. Takao Moteki, Hiroyuki Horikoshi, Keigo Endo. Relationship between apparent diffusion coefficient and signal intensity in endometrial and other pelvic cysts. Magn. Reson. Imaging. 2002; 20 (6): 463–70. PMID 12361793
22. Forstner R., Meissnitzer M.W., Schlattau A., Spencer J.A. MRI in ovarian cancer. Imaging Med. 2012; 4 (1): 59–75.
23. Thomassin-Naggara I., Bazot M., Daraї E., Callard P., Cuenod C.A. Epithelial ovarian tumors: value of dynamic contrast-enhanced MR imaging and correlation with tumor angiogenesis. RSNA. 2008. DOI: 10.1148/radiol.2481071120
24. Thomassin-Naggara I., Daraї E., Cuenod C.A., Rouzier R., Callard P., Bazot M. Dynamic contrast-enhanced magnetic resonance imaging: a useful tool for characterizing ovarian epithelial tumors. J. Magn. Reson. Imaging. 2008; 28 (1): 111–20. DOI: 10.1002/jmri.21377
25. Thomassin-Naggara I., Balvay D., Rockall A., Carette M.F. Added value of assessing adnexal masses with advanced MRI techniques. BioMed Research International. 2015; 2015. Article ID 785206. DOI: 10.1155/2015/785206
26. Hai-Ming Li, Jin-Wei Qiang, Ma F.H., Zhao S.H. The value of dynamic contrast-enhanced MRI in characterizing complex ovarian tumors. J. Ovarian Research. 2017; 10: 4. DOI: 10.1186/s13048-017-0302-y
27. O’Connor J.P., Jackson A., Parker G.J.M., Jayson G.C. DCEMRI biomarkers in the clinical evaluation of antiangiogenic and vascular disrupting agents. Br. J. Cancer. 2007; 96 (2): 189–95. DOI: 10.1038/s/bjc.6603515
28. Goff B.A., Agrew K., Gray H.J., Liao J.B., Urban R.R. A symptom index, CA125 and HE4 (triple screen) to detect ovarian cancer in women with a pelvic mass. Gynecol. Oncol. 2017; 147 (2): 291–5. DOI: 10.1016/j.ygyno.2017.08.020
29. Pereira P.N., Sarian L.O., Yoshida A., Barros R.H.O., Derchain S. Accuracy of the ADNEX MR scoring system based on a simplified MRI protocol for the assessment of adnexal masses. Diagn. Interv. Radiol. 2018; 24 (2): 63–71. DOI: 10.5152/dir.2018.17378
30. Rubtsova N.A., Novikova E.G., Sychenkova I.Yu. Current possibilities of magnetic-resonance imaging in detection of ovarian cancer. Research’n Practical Medicine Journal. 2017; 4 (1): 40–8 (in Russ.). DOI: 10.17709/2409-2231-2017-4-1-5
31. Solopova A.E., Chashchin A.A., Solopova A.G., Makatsariya A.D. Current opinions concerning the pathogenesis of epithelial ovarian cancer and new diagnostic approaches to the disease. Obstetrics, Gynecology and Reproduction. 2016; 10 (1): 75–83 (in Russ.). DOI: 10.17749/2313-7347.2015.10.1.075-083
Review
For citations:
Olimov B.P., Kossov F.A., Strel’tsova O.N., Panov V.O., Panichenko I.V., Buydenok Yu.V., Tyurin I.E. The Role of Diffusion-weighted MRI and Follow-up Contrast-enhanced MRI in Correlation with the Adnexa MR Scoring System in the Diagnosis of Uterine Appendage Tumors. Journal of radiology and nuclear medicine. 2019;100(2):116-124. (In Russ.) https://doi.org/10.20862/0042-4676-2019-100-2-116-124