Value of MRI in the Characterization of Ovarian Masses Unable to Classify With Ultrasound Using the International Ovarian Tumor Analysis (IOTA) Simple Rules

NCT ID: NCT02836275

Last Updated: 2020-04-14

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Clinical Phase

NA

Total Enrollment

250 participants

Study Classification

INTERVENTIONAL

Study Start Date

2016-10-31

Study Completion Date

2020-12-31

Brief Summary

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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.

Detailed Description

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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.

Conditions

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Patients With a Sonographically Unclassifiable Adnexal Mass Using the IOTA Simple Rules

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

DIAGNOSTIC

Blinding Strategy

NONE

Study Groups

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Perfusion and diffusion-weighted MRI

Group Type EXPERIMENTAL

Diffusion/Perfusion-weighted Magnetic Resonance Imaging

Intervention Type OTHER

Interventions

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Diffusion/Perfusion-weighted Magnetic Resonance Imaging

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* Any adult woman with an adnexal mass unclassified by gynecological ultrasound using the IOTA Simple Rules.
* Patient planned for surgery.

Exclusion Criteria

* Any lesion with conclusive result on gynecological ultrasound using the IOTA Simple Rules.
* Cysts that are deemed to be clearly physiological and less than 3 cm in maximum diameter are not eligible for inclusion.
* No surgery performed or surgery performed \>120 days after ultrasound scan.
* Denial or withdrawal of informed consent.
* Contra-indication for MRI
* Current pregnancy
* Age \< 18 years
Minimum Eligible Age

18 Years

Eligible Sex

FEMALE

Accepts Healthy Volunteers

No

Sponsors

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KU Leuven

OTHER

Sponsor Role lead

Responsible Party

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Dirk Timmerman

Prof. Dr.

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Isabelle Thomassin-Naggara, MD, PhD

Role: STUDY_CHAIR

Department of Radiology, Hôpital Tenon, Paris, FRANCE

Andrea Rockall, MBBS, MRCP, FRCR

Role: STUDY_CHAIR

Imperial College London, London, UNITED KINGDOM

Tom Bourne, MD, PhD

Role: STUDY_CHAIR

Queen Charlotte's & Chelsea Hospital, Imperial College London, London, UNITED KINGDOM

Ben Van Calster, MSc, PhD

Role: STUDY_CHAIR

Department Development & Regeneration, KU Leuven, Leuven, BELGIUM

Ignace Vergote, MD, PhD

Role: STUDY_CHAIR

Department of Obstetrics and Gynecology, University Hospitals KU Leuven, Leuven, BELGIUM

Locations

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University Hospitals Leuven

Leuven, , Belgium

Site Status RECRUITING

Countries

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Belgium

Central Contacts

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Dirk Timmerman, MD, PhD

Role: CONTACT

+32 16 344201

Vincent Vandecaveye, MD, PhD

Role: CONTACT

+32 16 340518

Facility Contacts

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Vincent Vandecaveye, PhD

Role: primary

References

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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.

Reference Type BACKGROUND
PMID: 22507534 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 16369985 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 18334710 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 16449677 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 18504770 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 22095438 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 15955864 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 23468574 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 21193596 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 25600863 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 17161157 (View on PubMed)

Other Identifiers

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IOTA-MRI s59142

Identifier Type: -

Identifier Source: org_study_id

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