Magnetic resonance imaging in the diagnosis of peritoneal carcinomatosis in disseminated ovarian cancer


Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription or Fee Access

Abstract

Ovarian cancer is one of the most common malignant neoplasms of the female reproductive system. The overwhelming majority of cases were diagnosed with advanced stages of the process in the presence of peritoneal carcinomatosis and parenchymal metastases. The extent of the disease is the most important prognostic factor. The 5-year survival rate for all types of ovarian cancer is 46% and varies substantially according to the stage: 92% for a localized process, 75% for locally advanced one, and only 29% among patients with distant metastases. The localization of secondary changes and the degree of damage considerably affect the likelihood of successful cytoreductive surgery that in turn determines the long-term prognosis of the disease. Multislice computed tomography (MSCT) is the standard for the preoperative staging of ovarian cancer. The sensitivity and specificity of MSCT depend primarily on the size and location of peritoneal implants that have a similar density to adjacent unaltered structures. This problem becomes especially urgent in the absence of ascites. The potential of multiparametric MRI (mp-MRI) to improve the accuracy of staging of disseminated ovarian cancer and a response to the treatment performed is now increasingly discussed. This publication describes in detail the semiotics of disseminated ovarian cancer, presents the authors’ own verified clinical cases, and analyzes the capabilities of MRI in diagnosing different tumor dissemination patterns.

Full Text

Restricted Access

About the authors

Egor M. Syrkashev

Academician V.I. Kulakov National Medical Research Center of Obstetrics, Gynecology, and Perinatology, Ministry of Health of the Russian Federation

Email: e_syrkashev@oparina4.ru
MD, Researcher of the Radiology Department

Alina E. Solopova

Academician V.I. Kulakov National Medical Research Center of Obstetrics, Gynecology, and Perinatology, Ministry of Health of the Russian Federation

Email: a_solopova@oparina4.ru
MD, PhD, Associate Professor, Leading Researcher, Department of Radiology

Elena G. Kulabukhova

Academician V.I. Kulakov National Medical Research Center of Obstetrics, Gynecology, and Perinatology, Ministry of Health of the Russian Federation

MD, PhD, Radiology Department

References

  1. Jemal A., Siegel R, Ward E., Hao Y., Xu J., Thun M.J. Cancer statistics, 2009. CA. Cancer J. Clin. 2009; 59(4): 225-49. https://dx.doi.org/10.3322/caac.20006.
  2. Sisovska I., Minaf L., Felsinger M., Anton M., Bednafikova M., Hausnerova J. et al. Current FIGO staging classification for cancer of ovary, fallopian tube and peritoneum. Ceska Gynekol. 2017 Summer; 82(3): 230-6.
  3. Sugarbaker PH., Jablonski K.A. Prognostic features of 51 colorectal and 130 appendiceal cancer patients with peritoneal carcinomatosis treated by cytoreductive surgery and intraperitoneal chemotherapy. Ann. Surg. 1995; 221(2): 124-32. https://dx.doi.org/10.1097/00000658-199502000-00002.
  4. Tentes A.A., Tripsiannis G., Markakidis S.K., Karanikiotis C.N., Tzegas G., Georgiadis G., Avgidou K. Peritoneal cancer index: a prognostic indicator of survival in advanced ovarian cancer. Eur. J. Surg. Oncol. 2003; 29(1): 69-73. https://dx.doi.org/10.1053/ejso.2002.1380.
  5. Eisenkop S.M., Spirtos N.M., Friedman R.L., Lin W.C., Pisani A.L., Perticucci S. Relative influences of tumor volume before surgery and the cytoreductive outcome on survival for patients with advanced ovarian cancer : a prospective study. Gynecol. Oncol. 2003; 90( 2): 390-6. https://dx.doi.org/10.1016/s0090-8258(03)00278-6.
  6. Fagotti A., Ferrandina G., Fanfani F., Ercoli A., Lorusso D., Rossi M., Scambia G. A laparoscopy-based score to predict surgical outcome in patients with advanced ovarian carcinoma: a pilot study. Ann. Surg. Oncol. 2006; 13(8):156-61. https:// dx.doi.org/10.1245/ASO.2006.08.021.
  7. Dowdy S.C., Mullany S.A., Brandt K.R., Huppert B.J., Cliby W.A. The utility of computed tomography scans in predicting suboptimal cytoreductive surgery in women with advanced ovarian carcinoma. Cancer. 2004; 101(2): 346-52. https://dx.doi.org/10.1002/cncr.20376.
  8. Janco J.M., Glaser G., Kim B., McGree M.E., Weaver A.L., Cliby W.A. et al. Development of a prediction model for residual disease in newly diagnosed advanced ovarian cancer. Gynecol. Oncol. 2015; 138(1): 70-7. https://dx.doi. org/10.1016/j.ygyno.2015.04.013.
  9. Suidan R.S., Ramirez PT., Sarasohn D.M., Teitcher J.B., Mironov S., Iyer R.B. et al. A multicenter prospective trial evaluating the ability of preoperative computed tomography scan and serum CA-125 to predict suboptimal cytoreduction at primary debulking surgery for advanced ovarian, fallopian tube, and peritoneal cancer. Gynecol. Oncol. 2014; 134(3): 455-61. https://dx.doi.org/10.1016/ j.ygyno.2014.07.002.
  10. Suidan R.S., Ramirez P.T., Sarasohn D.M., Teitcher J.B., Iyer R.B., Zhou Q. et al. A multicenter assessment of the ability of preoperative computed tomography scan and CA-125 to predict gross residual disease at primary debulking for advanced epithelial ovarian cancer. Gynecol. Oncol. 2017; 145(1): 27-31. https://dx.doi.org/10.1016/j.ygyno.2017.02.020.
  11. Kumar A., Sheedy S., Kim B., Suidan R., Sarasohn D.M., Nikolovski I. et al. Models to predict outcomes after primary debulking surgery : Independent validation of models to predict suboptimal cytoreduction and gross residual disease. Gynecol. Oncol. 2019; 154(1): 72-6. https://dx.doi.org/10.1016/j.ygyno.2019.04.011.
  12. Colombo N., Sessa C., du Bois A., Ledermann J., McCluggage W.G., McNeish I. et al. ESMO-ESGO consensus conference recommendations on ovarian cancer: Pathology and molecular biology, early and advanced stages, borderline tumours and recurrent disease. Ann. Oncol. 30(5): 672-705. https://dx.doi.org/10.1093/annonc/mdz062.
  13. Rybicki F.J., Glanc P. Patient-friendly summary of the ACR appropriateness criteria: staging and follow-up of ovarian cancer. J. Am. Coll. Radiol. 2019; 16(5): e23. https://dx.doi.org/10.1016/j.jacr.2019.01.014.
  14. Sureka B., Meena V., Garg P., Yadav T., Khera P.S. Computed tomography imaging of ovarian peritoneal carcinomatosis: a pictorial review. Pol. J. Radiol. 2019; 83: e500-9. https://dx.doi.org/10.5114/pjr.2018.80247.
  15. Javadi S., Ganeshan D.M., Qayyum A., Iyer R.B., Bhosale P. Ovarian cancer, the revised FIGO staging system, and the role of imaging. AJR Am. J. Roentgenol. 2016; 206(6): 1351-60. https://dx.doi.org/10.2214/AJR.15.15199.
  16. Gadelhak B., Tawfik A.M., Saleh G.A., Batouty N.M., Sobh D.M., Hamdy O., Refky B. Extended abdominopelvic MRI versus CT at the time of adnexal mass characterization for assessing radiologic peritoneal cancer index (PCI) prior to cytoreductive surgery. Abdom. Radiol. 2019; 44(6): 2254-61. https://dx.doi. org/10.1007/s00261-019-01939-y.
  17. Low R.N., Barone R.M., Lucero J. Comparison of MRI and CT for Predicting the Peritoneal Cancer Index (PCI) preoperatively in patients being considered for cytoreductive surgical procedures. Ann. Surg. Oncol. 2015; 22(5): 1708-15. https://dx.doi.org/10.1245/s10434-014-4041-7.
  18. Meyers M.A., Oliphant M., Berne A.S., Feldberg M.A. The peritoneal ligaments and mesenteries: pathways of intraabdominal spread of disease. Radiology. 1987; 163(3): 593-604.
  19. Mikula-Pietrasik J., Uruski P., Tykarski A., Ksiqzek K. The peritoneal ‘soil’ for a cancerous ‘seed’: a comprehensive review of the pathogenesis of intraperitoneal cancer metastases. Cell. Mol. Life Sci. 2018; 75(3): 509-25. https://dx.doi. org/10.1007/s00018-017-2663-1.
  20. Carmignani C.P., Sugarbaker T.A., Bromley C.M., Sugarbaker PH. Intraperitoneal cancer dissemination: mechanisms of the patterns of spread. Cancer Metastasis Rev. 2003; 22(4): 465-72. https://dx.doi.org/10.1023/a:1023791229361.
  21. Nath S., Pigula M., Khan A.P., Hanna W., Ruhi M.K., Dehkordy F.M. et al. Flow-induced shear stress confers resistance to carboplatin in an adherent three-dimensional model for ovarian cancer: a role for EGFR-targeted photoimmunotherapy informed by physical stress. J. Clin. Med. 2020; 9(4): 924. https://dx.doi.org/10.3390/jcm9040924.
  22. Feki A., Berardi P., Bellingan G., Major A., Krause K.H., Petignat P. et al. Dissemination of intraperitoneal ovarian cancer: Discussion of mechanisms and demonstration of lymphatic spreading in ovarian cancer model. Crit. Rev. Oncol. Hematol. 2009; 72(1): 1-9. https://dx.doi.org/10.1016/j.critrevonc.2008.12.003.
  23. Sobin L.H. From the archives of the AFIP secondary tumors and tumorlike lesions of the peritoneal cavity: imaging features with pathologic correlation. Radiographics. 2009; 29(2): 347-73. https://dx.doi.org/10.1148/rg.292085189.
  24. Espada M., Garcia-Flores J.R., Jimenez M., Alvarez-Moreno E., De Haro M., Gonzalez-Cortijo L. et al. Diffusion-weighted magnetic resonance imaging evaluation of intra-abdominal sites of implants to predict likelihood of suboptimal cytoreductive surgery in patients with ovarian carcinoma. Eur. Radiol. 2013; 23(9): 2636-42. https://dx.doi.org/10.1007/ s00330-013-2837-7.
  25. Tempany C.M., Zou K.H., Silverman S.G., Brown D.L., Kurtz A.B., McNeil B.J. Staging of advanced ovarian cancer: comparison of imaging modalities--report from the Radiological Diagnostic Oncology Group. Radiology. 2000; 215(3): 761-7. https://dx.doi.org/10.1148/radiology.215.3.r00jn25761.
  26. Glaser G., Torres M., Kim B., Aletti G., Weaver A., Mariani A. The use of CT findings to predict extent of tumor at primary surgery for ovarian cancer. Gynecol. Oncol. 2013; 130(2): 280-3. https://dx.doi.org/10.1016/ j.ygyno.2013.05.007.
  27. Nasser S., Lazaridis A., Evangelou M., Jones B., Nixon K., Kyrgiou M. et al. Correlation of pre-operative CT findings with surgical & histological tumor dissemination patterns at cytoreduction for primary advanced and relapsed epithelial ovarian cancer: A retrospective evaluation. Gynecol. Oncol. 2016; 143(2):.264-9. https://dx.doi.org/10.1016/j.ygyno. 2016.08.322.
  28. Castellani F., Nganga E.C., Dumas L., Banerjee S., Rockall A.G. Imaging in the pre-operative staging of ovarian cancer. Abdom. Radiol. 2019; 44(2): 685-96. https://dx.doi.org/10.1007/s00261-018-1779-6.
  29. Gupta M.K., Khatri G., Bailey A., Pinho D.F., Costa D., Pedrosa I. Endoluminal contrast for abdomen and pelvis magnetic resonance imaging. Abdom. Radiol. 2016; 41(7): 1378-98, https://dx.doi.org/10.1007/s00261-016-0668-0.

Supplementary files

Supplementary Files
Action
1. JATS XML

This website uses cookies

You consent to our cookies if you continue to use our website.

About Cookies