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Gynecological ultrasound is well known as the preferred exam to assess patients with ovarian tumors. The International Ovarian Tumor Analysis (IOTA) group developed the 'Simple Rules' to classify an ovarian tumor as benign or malignant. In about 1/5 of patients the Simple Rules give an inconclusive result and therefore a suitable second line test is necessary. Recently the ADNEXMR SCORING system was developed, this is the first Magnetic Resonance Imaging (MRI) score system that focuses on ovarian tumors.
The aim of this prospective study is to evaluate the performance of pelvic MRI examination with perfusion -and diffusion- weighted sequences and the application of the ADNEXMR SCORING system in ovarian tumors that cannot be classified by the IOTA Simple Rules (regarding the prediction of malignancy). Other aims are the determination of the malignancy rate per ADNEXMR SCORING system class, the evaluation of interobserver reproducibility and the assessment of the accuracy of the specific diagnosis based on MRI images.
The study is a multicenter prospective study. In centers where perfusion -and diffusion weighted MRI imaging is not a part of clinical routine in unclassifiable ovarian masses based on ultrasound, the study is considered to be interventional. However, in other centres, depending on the local guidelines, perfusion -and diffusion weighted MRI imaging can be standard of care. In these centres, the study can be considered to be observational.
The IOTA-MRI project is linked to the IOTA study. In this multicenter study different diagnostic ultrasound algorithms are tested prospectively in patients with an ovarian mass prior to surgery. This study allows to define a subgroup of patients in which Simple Rules are inconclusive, in other words the population eligible for inclusion in the IOTA-MRI project. We plan to include 250 patients in the IOTA-MRI study. Patients will be included consecutively, yet only after completing the informed consent. Recruitment will take 2 years of time as of the start of the individual center.
The gold standard is the histopathology diagnosis of the mass within 120 days after ultrasound evaluation. The surgical approach is chosen by the managing clinician.
Ovarian cancer is a common and lethal disease for which early detection and treatment in high volume centers and by specialized clinicians is known to improve survival. Hence, accurate methods to preoperatively characterize the nature of an ovarian tumor are pivotal. The IOTA group has suggested Simple ultrasound based rules that can be used to classify adnexal masses as benign or malignant. In about 1/5 of patients the Simple Rules give an inconclusive result and therefore a suitable second line test is necessary. The benefit of using MRI in sonographically indeterminate masses has been evaluated previously. However, the ability of MRI to correctly classify tumors unclassifiable by the IOTA Simple Rules has not been examined. The group of Thomassin-Naggara et al has recently developed the ADNEXMR SCORING system, this is the first Magnetic Resonance Imaging (MRI) score system that focuses on ovarian tumors.
The primary aim of this prospective study is to evaluate the performance of pelvic MRI examination with perfusion -and diffusion- weighted sequences and the application of the ADNEXMR SCORING system in ovarian tumors that cannot be classified by the IOTA Simple Rules (regarding the prediction of malignancy). Secondary aims are the determination of the malignancy rate per ADNEXMR SCORING system class, the evaluation of interobserver reproducibility and the assessment of the accuracy of the specific diagnosis based on MRI images.
The study is a multicenter prospective study. In centers where perfusion -and diffusion weighted MRI imaging is not a part of clinical routine in unclassifiable ovarian masses based on ultrasound, the study is considered to be interventional. However, in other centres, depending on the local guidelines, perfusion -and diffusion weighted MRI imaging can be standard of care. In these centres, the study can be considered to be observational.
The IOTA-MRI project is linked to the IOTA study. In this multicenter study different diagnostic ultrasound algorithms are tested prospectively in patients with an ovarian mass prior to surgery. This study allows to define a subgroup of patients in which Simple Rules are inconclusive, in other words the population eligible for inclusion in the IOTA-MRI project. We plan to include 250 patients in the IOTA-MRI study. Patients will be included consecutively, yet only after completing the informed consent. Recruitment will take 2 years of time as of the start of the individual center.
At first, a standardized patient history will be registered, followed by a standardized transvaginal gynecological ultrasound. All variables required for the diagnostic models as well as the subjective diagnosis and certainty of diagnosis by the examiner will be collected. Quality control is provided by the fact that all examiners involved in gynecological ultrasound have completed IOTA-training and succeeded in a certification test. All data will be registered in an online Clinical Data Miner system (CDM).
In case that the results of the Simple Rules are inconclusive, and surgery is justifiable, the patient will be informed about the IOTA-MRI study. If the patient agrees to participate, the inclusion criteria are met and if there are no contra-indications, the patient will be referred to the radiology department of the same center or an affiliated center.
Second, at the radiology department, a standardized pelvic MRI examination will take place (diffusion- and perfusion- weighted sequences). All the variables that are needed for the classification of the ADNEXMR SCORING system as well as the subjective diagnosis of the radiologist, will be registered in CDM. Quality control in this part is provided by the fact that all radiologists involved in the study are certified by EURAD (EURopean ADnex mr score).
The gold standard is the histopathology diagnosis of the mass within 120 days after ultrasound evaluation. The surgical approach is chosen by the managing clinician. In case of malignancy, staging of the tumor will be reported by the International Federation of Gynecology and Obstetrics (FIGO) classification. All results will be registered in CDM.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Perfusion and diffusion-weighted MRI | Experimental |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Diffusion/Perfusion-weighted Magnetic Resonance Imaging | Other |
|
| Measure | Description | Time Frame |
|---|---|---|
| The sensitivity and specificity of the ADNEXMR SCORING system in classifying adnexal masses as malignant or benign using MRI with diffusion- and perfusion-weighted sequences in masses unclassified by the IOTA Simple Rules. | During estimated recruitment period of 2 years. Gold standard is histopathology diagnosis within 120 days after ultrasound examination. |
| Measure | Description | Time Frame |
|---|---|---|
| Proportion of malignant masses per level of the ADNEXMR SCORING system. | During estimated recruitment period of 2 years. Gold standard is histopathology diagnosis within 120 days after ultrasound examination. | |
| Interobserver reproducibility of ADNEXMR SCORING system using MRI with diffusion- and perfusion-weighted sequences by comparing lesion characterization (interpretation) and region of interest delineation on the perfusion curve. |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Dirk Timmerman, MD, PhD | Contact | +32 16 344201 | dirk.timmerman@uzleuven.be | |
| Vincent Vandecaveye, MD, PhD | Contact | +32 16 340518 | vincent.vandecaveye@uzleuven.be |
| Name | Affiliation | Role |
|---|---|---|
| Isabelle Thomassin-Naggara, MD, PhD | Department of Radiology, Hôpital Tenon, Paris, FRANCE | Study Chair |
| Andrea Rockall, MBBS, MRCP, FRCR | Imperial College London, London, UNITED KINGDOM | Study Chair |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University Hospitals Leuven | Recruiting | Leuven | 3000 | Belgium |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 22507534 | Background | Woo YL, Kyrgiou M, Bryant A, Everett T, Dickinson HO. Centralisation of services for gynaecological cancers - a Cochrane systematic review. Gynecol Oncol. 2012 Aug;126(2):286-90. doi: 10.1016/j.ygyno.2012.04.012. Epub 2012 Apr 13. | |
| 16369985 | Background | Engelen MJ, Kos HE, Willemse PH, Aalders JG, de Vries EG, Schaapveld M, Otter R, van der Zee AG. Surgery by consultant gynecologic oncologists improves survival in patients with ovarian carcinoma. Cancer. 2006 Feb 1;106(3):589-98. doi: 10.1002/cncr.21616. |
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This will take place later using stored images. |
| During estimated recruitment period of 2 years. |
| Accuracy of the suggested specific diagnosis made on the basis of the MRI images. | During estimated recruitment period of 2 years. Gold standard is histopathology diagnosis within 120 days after ultrasound examination. |
| Tom Bourne, MD, PhD | Queen Charlotte's & Chelsea Hospital, Imperial College London, London, UNITED KINGDOM | Study Chair |
| Ben Van Calster, MSc, PhD | Department Development & Regeneration, KU Leuven, Leuven, BELGIUM | Study Chair |
| Ignace Vergote, MD, PhD | Department of Obstetrics and Gynecology, University Hospitals KU Leuven, Leuven, BELGIUM | Study Chair |
| 18334710 | Background | Vernooij F, Heintz AP, Witteveen PO, van der Heiden-van der Loo M, Coebergh JW, van der Graaf Y. Specialized care and survival of ovarian cancer patients in The Netherlands: nationwide cohort study. J Natl Cancer Inst. 2008 Mar 19;100(6):399-406. doi: 10.1093/jnci/djn033. Epub 2008 Mar 11. |
| 16449677 | Background | Earle CC, Schrag D, Neville BA, Yabroff KR, Topor M, Fahey A, Trimble EL, Bodurka DC, Bristow RE, Carney M, Warren JL. Effect of surgeon specialty on processes of care and outcomes for ovarian cancer patients. J Natl Cancer Inst. 2006 Feb 1;98(3):172-80. doi: 10.1093/jnci/djj019. |
| 18504770 | Background | Timmerman D, Testa AC, Bourne T, Ameye L, Jurkovic D, Van Holsbeke C, Paladini D, Van Calster B, Vergote I, Van Huffel S, Valentin L. Simple ultrasound-based rules for the diagnosis of ovarian cancer. Ultrasound Obstet Gynecol. 2008 Jun;31(6):681-90. doi: 10.1002/uog.5365. |
| 22095438 | Background | Bernardin L, Dilks P, Liyanage S, Miquel ME, Sahdev A, Rockall A. Effectiveness of semi-quantitative multiphase dynamic contrast-enhanced MRI as a predictor of malignancy in complex adnexal masses: radiological and pathological correlation. Eur Radiol. 2012 Apr;22(4):880-90. doi: 10.1007/s00330-011-2331-z. Epub 2011 Nov 18. |
| 15955864 | Background | Kinkel K, Lu Y, Mehdizade A, Pelte MF, Hricak H. Indeterminate ovarian mass at US: incremental value of second imaging test for characterization--meta-analysis and Bayesian analysis. Radiology. 2005 Jul;236(1):85-94. doi: 10.1148/radiol.2361041618. Epub 2005 Jun 13. |
| 23468574 | Background | Thomassin-Naggara I, Aubert E, Rockall A, Jalaguier-Coudray A, Rouzier R, Darai E, Bazot M. Adnexal masses: development and preliminary validation of an MR imaging scoring system. Radiology. 2013 May;267(2):432-43. doi: 10.1148/radiol.13121161. Epub 2013 Mar 6. |
| 21193596 | Background | Thomassin-Naggara I, Toussaint I, Perrot N, Rouzier R, Cuenod CA, Bazot M, Darai E. Characterization of complex adnexal masses: value of adding perfusion- and diffusion-weighted MR imaging to conventional MR imaging. Radiology. 2011 Mar;258(3):793-803. doi: 10.1148/radiol.10100751. Epub 2010 Dec 30. |
| 25600863 | Background | Installe AJ, Van den Bosch T, De Moor B, Timmerman D. Clinical data miner: an electronic case report form system with integrated data preprocessing and machine-learning libraries supporting clinical diagnostic model research. JMIR Med Inform. 2014 Oct 20;2(2):e28. doi: 10.2196/medinform.3251. |
| 17161157 | Background | Heintz AP, Odicino F, Maisonneuve P, Quinn MA, Benedet JL, Creasman WT, Ngan HY, Pecorelli S, Beller U. Carcinoma of the ovary. FIGO 26th Annual Report on the Results of Treatment in Gynecological Cancer. Int J Gynaecol Obstet. 2006 Nov;95 Suppl 1:S161-92. doi: 10.1016/S0020-7292(06)60033-7. No abstract available. |
| ID | Term |
|---|---|
| D000291 | Adnexal Diseases |
| D010051 | Ovarian Neoplasms |
| D010048 | Ovarian Cysts |
| D010049 | Ovarian Diseases |
| D004194 | Disease |
| D005833 | Genital Neoplasms, Female |
| D005831 | Genital Diseases, Female |
| D014565 | Urogenital Neoplasms |
| D003560 | Cysts |
| D004700 | Endocrine System Diseases |
| D006058 | Gonadal Disorders |
| D009369 | Neoplasms |
| D004701 | Endocrine Gland Neoplasms |
| ID | Term |
|---|---|
| D052776 | Female Urogenital Diseases |
| D005261 | Female Urogenital Diseases and Pregnancy Complications |
| D000091642 | Urogenital Diseases |
| D000091662 | Genital Diseases |
| D009371 | Neoplasms by Site |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D052801 | Male Urogenital Diseases |
| D020763 | Pathological Conditions, Anatomical |
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| ID | Term |
|---|---|
| D004058 | Diffusion |
| ID | Term |
|---|---|
| D055585 | Physical Phenomena |
| D055598 | Chemical Phenomena |
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