Ovarian Cancer Clinical Trial
— SUBSONiCOfficial title:
Regional Study Into the Performance and Cost-effectiveness of Simple Ultrasound-based Rules Compared to the Currently Used Risk of Malignancy Index in the Diagnosis of Ovarian Cancer
Verified date | March 2017 |
Source | Maastricht University Medical Center |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
This study is performed to compare the diagnostic performance and cost-effectiveness of different diagnostic methods for differentiating benign from malignant adnexal (ovary or Fallopian tube) masses: the Risk of Malignancy Index (RMI) will be compared with a two-step triage test called "simple ultrasound-based rules" supplemented -if necessary- with either subjective assessment by an expert sonographer or Diffusion Weighted - Magnetic Resonance Imaging (DW-MRI). The investigators will test the hypothesis that this two-step triage test will have better diagnostic accuracy than the RMI and therefore will improve the management of women with adnexal masses.
Status | Terminated |
Enrollment | 50 |
Est. completion date | October 1, 2015 |
Est. primary completion date | September 2015 |
Accepts healthy volunteers | No |
Gender | Female |
Age group | 18 Years and older |
Eligibility |
Inclusion Criteria: - Female patient; - Diagnosed in one of the participating centers with at least one pelvic mass that is suspected to be of ovarian origin; - Are to undergo surgery in order to obtain a final histological diagnosis; - 18 years of age or older. Exclusion Criteria: - Pregnant patients; - Patients aged under 18 years; - Patients in whom the surgery does not take place, or takes place more than 120 days after RMI and simple ultrasound-based rules are performed; - Patients with a prior bilateral oophorectomy; - Patients with insufficient or missing data; - Patients who do not give or are incapable of giving an informed consent; - Patients who are not able or willing to travel to the center hospital for additional diagnostic procedures. |
Country | Name | City | State |
---|---|---|---|
Netherlands | Maastricht University Medical Centre (MUMC+) | Maastricht | |
Netherlands | Laurentius Ziekenhuis Roermond | Roermond | |
Netherlands | Orbis Medical Sittard | Sittard | |
Netherlands | VieCuri Venlo | Venlo | |
Netherlands | St.Jans Gasthuis Weert | Weert |
Lead Sponsor | Collaborator |
---|---|
Maastricht University Medical Center | Laurentius Hospital Roermond, Orbis Medical Centre, St.Jans Gasthuis Weert, VieCuri Medical Centre |
Netherlands,
Dodge JE, Covens AL, Lacchetti C, Elit LM, Le T, Devries-Aboud M, Fung-Kee-Fung M; Gynecology Cancer Disease Site Group.. Preoperative identification of a suspicious adnexal mass: a systematic review and meta-analysis. Gynecol Oncol. 2012 Jul;126(1):157-66. doi: 10.1016/j.ygyno.2012.03.048. Review. — View Citation
Jacobs I, Oram D, Fairbanks J, Turner J, Frost C, Grudzinskas JG. A risk of malignancy index incorporating CA 125, ultrasound and menopausal status for the accurate preoperative diagnosis of ovarian cancer. Br J Obstet Gynaecol. 1990 Oct;97(10):922-9. — View Citation
Mauskopf JA, Sullivan SD, Annemans L, Caro J, Mullins CD, Nuijten M, Orlewska E, Watkins J, Trueman P. Principles of good practice for budget impact analysis: report of the ISPOR Task Force on good research practices--budget impact analysis. Value Health. 2007 Sep-Oct;10(5):336-47. — View Citation
Timmerman D, Ameye L, Fischerova D, Epstein E, Melis GB, Guerriero S, Van Holsbeke C, Savelli L, Fruscio R, Lissoni AA, Testa AC, Veldman J, Vergote I, Van Huffel S, Bourne T, Valentin L. Simple ultrasound rules to distinguish between benign and malignant adnexal masses before surgery: prospective validation by IOTA group. BMJ. 2010 Dec 14;341:c6839. doi: 10.1136/bmj.c6839. — View Citation
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. — View Citation
Tingulstad S, Hagen B, Skjeldestad FE, Halvorsen T, Nustad K, Onsrud M. The risk-of-malignancy index to evaluate potential ovarian cancers in local hospitals. Obstet Gynecol. 1999 Mar;93(3):448-52. — View Citation
Tingulstad S, Hagen B, Skjeldestad FE, Onsrud M, Kiserud T, Halvorsen T, Nustad K. Evaluation of a risk of malignancy index based on serum CA125, ultrasound findings and menopausal status in the pre-operative diagnosis of pelvic masses. Br J Obstet Gynaecol. 1996 Aug;103(8):826-31. — View Citation
Valentin L, Jurkovic D, Van Calster B, Testa A, Van Holsbeke C, Bourne T, Vergote I, Van Huffel S, Timmerman D. Adding a single CA 125 measurement to ultrasound imaging performed by an experienced examiner does not improve preoperative discrimination between benign and malignant adnexal masses. Ultrasound Obstet Gynecol. 2009 Sep;34(3):345-54. doi: 10.1002/uog.6415. — View Citation
Van Gorp T, Veldman J, Van Calster B, Cadron I, Leunen K, Amant F, Timmerman D, Vergote I. Subjective assessment by ultrasound is superior to the risk of malignancy index (RMI) or the risk of ovarian malignancy algorithm (ROMA) in discriminating benign from malignant adnexal masses. Eur J Cancer. 2012 Jul;48(11):1649-56. doi: 10.1016/j.ejca.2011.12.003. — View Citation
Weber S, McCann CK, Boruta DM, Schorge JO, Growdon WB. Laparoscopic surgical staging of early ovarian cancer. Rev Obstet Gynecol. 2011;4(3-4):117-22. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Sensitivity and specificity | Sensitivity is defined as the percentage of women with ovarian cancer diagnosed with a malignancy by respectively the RMI and the two-step test. Specificity is defined as the percentage of correctly diagnosed benign masses. | This analysis will take place after completing the inclusion of patients (approx. 2 years) | |
Primary | Likelihood ratios | The positive likelihood ratio is calculated by dividing the sensitivity by 100 minus the specificity. The negative likelihood ratio is calculated as the sensitivity minus 100 divided by the specificity. | This analysis will take place after completing the inclusion of patients (approx. 2 years) | |
Primary | positive and negative predictive values | The positive predictive value is defined as the percentage of patients with a positive test result by respectively RMI and simple rules having malignant disease. The negative predictive value is defined as the percentage of patients with a negative test result having benign disease. | This analysis will take place after completing the inclusion of patients (approx. 2 years) | |
Primary | cost-effectiveness | The economic evaluation will explore the potential cost-effectiveness of RMI versus the triage test. Incremental cost-effectiveness will be expressed as the costs per correct diagnosis (i.e. either true positive or false negative for malignancy based on histology) including the costs of surgical management following diagnosis. The analysis will take a hospital perspective including all costs from inclusion up to hospital discharge following surgery. As not all data necessary for comparison between the diagnostic strategies will be collected empirically and surgical management will be based on RMI, a simple decision analytic model will be constructed. The comparative sensitivity, specificity and costs of the diagnostic strategies including surgical management for the diagnostic work up of patients with at least one pelvic mass that is suspected to be of ovarian origin, will explicitly be incorporated in the model. | This analysis will take place after completing the inclusion of patients (approx. 2 years) | |
Primary | Budget Impact Analysis (BIA) | A budget impact analysis will be performed according to the ISPOR guidelines. The BIA addresses the financial stream of consequences related to the uptake and diffusion of the triage test to assess affordability. The budget impact will depend on both the costs of the diagnostic strategies, the effect in terms of correct diagnosis, as well as potential future levels of uptake of the triage test. All these elements which determine the potential budget impact will be addressed in this study. | This analysis will take place after completing the inclusion of patients (approx. 2 years) |
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