Indeterminate adnexal masses at ultrasound: effect of MRI imaging findings on diagnostic thinking and therapeutic decisions

In: European Radiology · 2010 · vol. 21(6) , pp. 1301–1310 · doi:10.1007/s00330-010-2018-x · PMID:21174097 · W2150458067
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MRI improved diagnostic accuracy for indeterminate adnexal masses, altering therapeutic decisions and resulting in cost savings, though DWI did not significantly differentiate benign from malignant lesions.

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This prospective study evaluated 38 patients with indeterminate ovarian lesions on ultrasound scheduled for surgery, where surgeons initially characterized lesions using a morphological score and selected a surgical procedure, then re-evaluated their assessment after receiving MRI findings including DWI and the results were correlated with final diagnoses. MRI provided major additional diagnostic information in 28.9% of cases and led to abstention from surgery in 5 cases, with moderate additional information in 26.3% of patients, and the authors reported a net cost saving. DWI did not significantly distinguish benign from malignant lesions, although mean ADC values were lower for teratomas and lower for endometriomas compared with other cystic lesions. This paper does not explicitly discuss endometriosis or adenomyosis as conditions overall, but it includes endometrioma ADC analyses and thus relates to endometriosis.

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Abstract

Objective To determine the impact of MRI including DWI on therapeutic decision-making and costs in the work-up of patients with a indeterminate adnexal mass on ultrasound.

Methods

Thirty-eight patients with indeterminate ovarian lesions scheduled for surgery were included in this prospective study. In a questionnaire, the surgeon characterised the lesions based on a morphological score and determined the surgical procedure. The assessment was re-evaluated knowing MR findings and correlated with the final diagnosis. A cost-benefit analysis of MRI was performed. The impact of including DWI in the MR protocol was assessed.

Results

MRI provided major diagnostic information in 11/38 cases (28.9%) resulting in abstention from surgery in 5 cases; moderate additional information was recorded in 10/38 (26.3%) patients. Overall a net cost saving (3’676 EUR) was achieved. DWI did not show a significant difference between benign and malignant lesions. Teratomas yielded significantly lower mean ADC values (0.597 × 10-3 mm2/s) compared with all other adnexal lesions (1.812 × 10-3 mm2/s); the mean ADC values in endometrioma (1.387 × 10-3 mm2/s) were significantly lower than in other cystic lesions (2.372 × 10-3 mm2/s).

Conclusion

Inclusion of MRI in the diagnostic algorithm of the indeterminate adnexal mass allows better differentiation of ovarian lesions resulting in a change of therapeutic decision-making with net cost savings. Similar content being viewed by others

References

Kurtz AB, Tsimikas JV, Tempany CM et al (1999) Diagnosis and staging of ovarian cancer: comparative values of Doppler and conventional US, CT, and MR imaging correlated with surgery and histopathologic analysis–report of the Radiology Diagnostic Oncology Group. Radiology 212:19–27 Kinkel K, Hricak H, Lu Y, Tsuda K, Filly RA (2000) US characterization of ovarian masses: a meta-analysis. Radiology 217:803–811 Spencer JA, Forstner R, Hricak H (2008) Investigating women with suspected ovarian cancer. Editorial Gynecol Oncol 108:262–264 Lucidarme O, Akakpo JP, Granberg S et al (2010) A new computer-aided diagnostic tool for non-invasive characterisation of malignant ovarian masses: results of a multicentre validation study. Eur Radiol 20:1822–1830 Outwater EK, Dunton CJ (1995) Imaging of the ovary and adnexa: clinical issues and applications of MR imaging. Radiology 194:1–18 Spencer JA, Forstner R, Cunha TM, Kinkel K, ESUR female imaging sub-committee (2010) ESUR guidelines for MR imaging of the sonographically indeterminate adnexal mass: an algorithmic approach. Eur Radiol 20:25–35 Sohaib SA, Mills TD, Sahdev A et al (2005) The role of magnetic resonance imaging and ultrasound in patients with adnexal masses. Clin Radiol 60:340–348 Adusumilli S, Hussain HK, Caoili EM et al (2006) MRI of sonographically indeterminate adnexal masses. AJR Am J Roentgenol 187:732–740 Iyer VR, Lee SI (2010) MRI, CT, and PET/CT for ovarian cancer detection and adnexal lesion characterization. AJR Am J Roentgenol 194:311–321 Spencer J, Ghattamaneni S (2010) MR Imaging of the sonographically indeterminate adnexal mass. Radiology 256:677–694 Whittaker CS, Coady A, Culver L, Rustin G, Padwick M, Padhani AR (2009) Diffusion-weighted MR imaging of female pelvic tumors: a pictorial review. Radiographics 29:759–774 Namimoto T, Awai K, Nakaura T, Yanaga Y, Hirai T, Yamashita Y (2009) Role of diffusion-weighted imaging in the diagnosis of gynecological diseases. Eur Radiol 19:745–760 Xue HD, Li S, Sun F et al (2008) Clinical application of body diffusion weighted MR imaging in the diagnosis and preoperative N staging of cervical cancer. Chin Med Sci J 23:133–137 Sala E, Priest AN, Kataoka M et al (2010) Apparent diffusion coefficient and vascular signal fraction measurements with magnetic resonance imaging: feasibility in metastatic ovarian cancer at 3 Tesla. Technical development Eur Radiol 20:491–496 Moteki T, Ishizaka H (2000) Diffusion-weighted EPI of cystic ovarian lesions: evaluation of cystic contents using apparent diffusion coefficients. J Magn Reson Imaging 12:1014–1019 Naganawa S, Sato C, Kumada H, Ishigaki T, Miura S, Takizawa O (2005) Apparent diffusion coefficient in cervical cancer of the uterus: comparison with the normal uterine cervix. Eur Radiol 15:71–78 McVeigh PZ, Syed AM, Milosevic M, Fyles A, Haider MA (2008) Diffusion-weighted MRI in cervical cancer. Eur Radiol 18:1058–1064 Tamai K, Koyama T, Saga T et al (2007) Diffusion-weighted MR imaging of uterine endometrial cancer. J Magn Reson Imaging 26:682–687 Inada Y, Matsuki M, Nakai G et al (2009) Body diffusion-weighted MR imaging of uterine endometrial cancer: is it helpful in the detection of cancer in nonenhanced MR imaging? Eur J Radiol 70:122–127 Tamai K, Koyama T, Saga T et al (2008) The utility of diffusion-weighted MR imaging for differentiating uterine sarcomas from benign leiomyomas. Eur Radiol 18:723–730 Fujii S, Matsusue E, Kanasaki Y et al (2008) Detection of peritoneal dissemination in gynecological malignancy: evaluation by diffusion-weighted MR imaging. Eur Radiol 18:18–23 Roussel A, Thomassin-Naggara I, Darai E, Marsault C, Bazot M (2009) Value of diffusion-weighted imaging in the evaluation of adnexal tumors. J Radiol 90:589–596 Low RN, Sebrechts CP, Barone RM, Muller W (2009) Diffusion-weighted MRI of peritoneal tumors: comparison with conventional MRI and surgical and histopathologic findings—a feasibility study. AJR Am J Roentgenol 193:461–470 Kawai M, Kano T, Kikkawa F, Maeda O, Oguchi H, Tomoda Y (1992) Transvaginal Doppler ultrasound with color flow imaging in the diagnosis of ovarian cancer. Obstet Gynecol 79:163–167 Froehlich JM, Daenzer M, von Weymarn C, Erturk SM, Zollikofer CL, Patak MA (2009) Aperistaltic effect of hyoscine N-butylbromide versus glucagon on the small bowel assessed by magnetic resonance imaging. Eur Radiol 19:1387–1393 Hricak H, Chen M, Coakley FV et al (2000) Complex adnexal masses: detection and characterization with MR imaging—multivariate analysis. Radiology 214:39–46 Outwater E, Schiebler ML, Owen RS, Schnall MD (1993) Characterization of hemorrhagic adnexal lesions with MR imaging: blinded reader study. Radiology 186:489–494 TARMED Suisse Tariff release 1.07.01 in effect since 1.4.2010, positions 39.5110 and 39.5010; accessed on 15 August 2010 www.tarmedsuisse.ch/87html Booth SJ, Turnbull LW, Poole DR, Richmond I (2008) The accurate staging of ovarian cancer using 3T magnetic resonance imaging—a realistic option. BJOG 115:894–901 Patel MD, Feldstein VA, Chen DC, Lipson SD, Filly RA (1999) Endometriomas: diagnostic performance of US. Radiology 210:739–745 Bazot M, Darai E, Hourani R et al (2004) Deep pelvic endometriosis: MR imaging for diagnosis and prediction of extension of disease. Radiology 232:379–389 Zanardi R, Del Frate C, Zuiani C, Bazzocchi M (2003) Staging of pelvic endometriosis based on MRI findings versus laparoscopic classification according to the American Fertility Society. Abdom Imaging 28:733–742 Gougoutas CA, Siegelman ES, Hunt J, Outwater EK (2000) Pelvic endometriosis: various manifestations and MR imaging findings. AJR Am J Roentgenol 175:353–358 Lin G, Ho KC, Wang JJ et al (2008) Detection of lymph node metastasis in cervical and uterine cancers by diffusion weighted magnetic resonance imaging at 3T. J Magn Reson Imaging 28:128–135 Lin G, Ng KK, Chang CJ et al (2009) Myometrial invasion in endometrial cancer: diagnostic accuracy of diffusion weighted 3.0-T MR imaging—initial experience. Radiology 250:784–792 Park SO, Kim JK, Kim KA et al (2009) 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 29:383–390 Katayama M, Masui T, Kobayashi S et al (2002) Diffusion-weighted echo planar imaging of ovarian tumors: is it useful to measure apparent diffusion coefficients? J Comput Assist Tomogr 26:250–256 Nakayama T, Yoshimitsu K, Irie H et al (2005) Diffusion-weighted echo-planar MR imaging and ADC mapping in the differential diagnosis of ovarian cystic masses: usefulness of detecting keratinoid substances in mature cystic teratomas. J Magn Reson Imaging 22:271–278 Silvera S, Oppenheim C, Touzé E et al (2005) Spontaneous intracerebral hematoma on diffusion-weighted images: influence of T2-shine through and T2-blackout effects. AJNR Am J Neuroradiol 26:236–241 Maldjian JA, Listerud J, Moonis G, Siddigi F (2001) Computing diffusion rates in T2-dark hematomas and areas of low T2 signal. AJNR Am J Neuroradiol 22:112–118 Padhani AR, Liu G, Koh DM et al (2009) Diffusion-weighted magnetic resonance imaging as a cancer biomarker: consensus and recommendations. Neoplasia 11:102–125 Hricak H, Powell CB, Yu KK et al (1996) Invasive cervical carcinoma: role of MR imaging in pretreatment work-up—cost minimization and diagnostic efficacy analysis. Radiology 198:403–409 Parker RG (1993) The “cost-effectiveness” of radiology and radiologists. Radiology 189:363–369

Acknowledgements

We would like to thank Alex Peters for his valuable technical assistance during the study. Moreover, the authors would like to thank Nicole Graf, MSc, for providing statistical support. We are grateful for the assistance from our colleagues of the Department of Gynecology in patient care. This study was in part supported by a research grant from Guerbet Switzerland. Authors maintained full control of the data and there is no conflict of interest concerning the funding of this study and the addressed subject. Froehlich JM works as a consultant for Grebert. This had no implications for our research project. Author information Authors and Affiliations Corresponding author Rights and permissions About this article Cite this article Chilla, B., Hauser, N., Singer, G. et al. Indeterminate adnexal masses at ultrasound: effect of MRI imaging findings on diagnostic thinking and therapeutic decisions. Eur Radiol 21, 1301–1310 (2011). https://doi.org/10.1007/s00330-010-2018-x Received: Revised: Accepted: Published: Issue date: DOI: https://doi.org/10.1007/s00330-010-2018-x

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