Early Detection of Ovarian CancerNCT06348784
Screening for Ovarian Malignancy
An observational study of Early Detection of Ovarian Cancer, run by Ain Shams Maternity Hospital at 1 site in Egypt.
Trial summary
Ovarian cancer is the second most common gynecologic malignancy. In 2008, it was the seventh leading cause of cancer deaths in women worldwide. Estimating the risk of malignancy is essential in the management of adnexal masses and several mathematical models and scoring systems have been developed to be used for… Read more about this study
- Who is it for?
- Ages 40 years and older, women only
- Conditions the study is for
- Early Detection of Ovarian Cancer
- What is being tested?
- Assesment of Different NEoplasias in the adenexa model, Risk of malignancy index and Histopathologic examination
- How many people
- 50 participants
- Where
- 1 siteEgypt
- Study dates
- 1 Jan 2022to 1 Jan 2023
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 40 years and older
- Women only
- Adult, Older adult
Study population: The study participants were 50 postmenopausal patients who presented to the general gynecology or gynecological oncology outpatient clinic with adnexal mass.
Who may be able to join
- All the included patients were postmenopausal; postmenopausal status was defined as having ≥ 1 year of amenorrhea without using any contraceptive method in women ≥ 45 years while for women < 45 years, two consecutive FSH samples one 1month apart with levels ≥ 30 IU/L were required to confirm menopause
Who cannot join
- Accidental discovery of ovarian mass during surgery for other reasons
- Patients with known ovarian cancer who were scheduled for interval debulking after neoadjuvant chemotherapy
Trial locations and contacts
1 site in 1 country.
About this study
Official title: Assessment of Different Neoplasias in the Adenxa Model Versus Risk of Malignancy Index as a Tool for Predicting Ovarian Malignancy in Postmenopausal Ovarian Cysts
Ovarian cancer is the second most common gynecologic malignancy. In 2008, it was the seventh leading cause of cancer deaths in women worldwide. Estimating the risk of malignancy is essential in the management of adnexal masses and several mathematical models and scoring systems have been developed to be used for discrimination between benign and malignant adnexal masses. Knowledge of the specific type of adnexal pathology before surgery is likely to improve patient triage with high accuracy, and it also makes it possible to optimize treatment. The correct identification of stage I cancer is particularly important
Read the detailed description
Ovarian cancer (OC) is the third most common gynecological malignancy worldwide and carries the highest mortality. OC has an incidence of 11.7 - 12.1 per 100,000 in the USA and Europe, with slightly lower rates of disease in Asia and the Middle East. Most patients (60%) are diagnosed with advanced disease which is associated with significant mortality. The most important factor for survival is the stage at diagnosis and nowadays there isn't a proven effective screening strategy. It is necessary to identify the best tool to detect early-stage disease. To reduce the diagnostic dilemma between benign and malignant ovarian masses, a formula-based scoring system known as the risk of malignancy index (RMI) was introduced in 1990, which was termed RMI 1. RMI is a combined parameter that is simple, specific, and highly sensitive for the evaluation of adnexal masses. It is a product of ultrasound findings (U), the menopausal status (M), and serum CA-125 levels (RMI = U X M XCA-125). The original RMI (RMI-1) was modified in 1996 as (RMI 2) and again in 1999 known as (RMI 3), and the last modification was in 2009 by adding the tumor size (S) to the equation and calling it RMI 4. A systematic review of diagnostic studies concluded that the RMI I was the most effective for women with suspected ovarian malignancy.
Malignant tumors benefit from management in specialized oncology centers, but borderline malignancies, stage I primary invasive tumors, and advanced primary invasive tumors might require different surgical approaches. To optimize patient triage without operating on all masses, diagnostic models can be used to estimate the likelihood of malignancy and hence to plan treatment for patients. The International Ovarian Tumor Analysis Group (IOTA) has developed a multi-tumor prediction model, Assessment of Different NEoplasias in the adneXa (ADNEX) model, which is used to describe in detail the characteristics of adnexal masses. ADNEX model can not only distinguish the probability of benign and malignant AMs, but also distinguish between borderline ovarian tumors, stage I ovarian cancer, stage II-IV ovarian cancer, and secondary metastatic ovarian cancers, which includes three clinical features and six ultrasound features
- Conditions
- Early Detection of Ovarian Cancer
- Being tested
- Assesment of Different NEoplasias in the adenexa model, Risk of malignancy index, Histopathologic examination
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Assesment of Different NEoplasias in the adenexa modelDiagnostic test
The ADNEX model includes nine parameters; Age, CA-125 level, Oncology center (yes/no), and 6 ultrasound features which are maximal diameter of the lesion, maximal diameter of the largest solid part, more than 10 locules (yes/no), number of papillary projections (0/1/2/3/more than 3), acoustic shadow, and ascites
Risk of malignancy indexDiagnostic test
The RMI was measured as follows; Menopausal status (score is 3 as all patients were postmenopausal X Ultrasound score is based on assessment of 5 features and with the presence of one feature, the score is 1 while if more than one feature is present, the score is 3; the five ultrasound features are the presence of solid components, multilocularity, bilaterality, ascites, and metastases X CA - 125 level
Histopathologic examinationDiagnostic test
Histopathologic examination of all excised specimens was done as this is the gold standard test for detecting ovarian malignancy
What is being measured
The primary outcome is the main question the study is designed to answer.
Sensitivity, specificity, positive predictive, and negative predictive value of Assessment of Different NEoplasias in the adneXa model for differentiating between benign and malignant ovarian tumors
The diagnostic performance of the ADNEX model for differentiating between benign and malignant ovarian tumors was assessed at a threshold of 10%. The diagnostic performance was expressed as Area Under Receiver Operating Characteristic Curve (AUC)
Measured: within 120 days from the scheduled surgery date
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted5 Apr 2024
- Study start1 Jan 2022
- Primary completion1 Jan 2023
- Study completion1 Jan 2023
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (16)Papers the sponsor has linked to this study.
- Other trials for Early Detection of Ovarian CancerStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 50 participants (actual)
Sponsor and investigators
- Lead sponsor
- Ain Shams Maternity Hospital
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Ahmed Mohammed Elmaraghy, Ain Shams Maternity Hospital
- Investigators
- Amr H El-Shalakany, M.D., Study director, Ain Shams UniversityKareem M Labib, M.D., Study chair, Ain Shams UniversityHassan Morsi, PhD, Study chair, Ain Shams UniversityMortada Elsayed, M.D., Study chair, Ain Shams University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06348784
- Sponsor's protocol ID
- 11
- Status last verified
- Mar 2024
- First submitted
- 25 Mar 2024
- Last updated
- 5 Apr 2024
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
Nash Z, Menon U. Ovarian cancer screening: Current status and future directions. Best Pract Res Clin Obstet Gynaecol. 2020 May;65:32-45. doi: 10.1016/j.bpobgyn.2020.02.010. Epub 2020 Mar 3.
PubMed 32273169Nohuz E, De Simone L, Chene G. Reliability of IOTA score and ADNEX model in the screening of ovarian malignancy in postmenopausal women. J Gynecol Obstet Hum Reprod. 2019 Feb;48(2):103-107. doi: 10.1016/j.jogoh.2018.04.012. Epub 2018 Apr 28.
PubMed 29709594Ali MN, Habib D, Hassanien AI, Abbas AM. Comparison of the four malignancy risk indices in the discrimination of malignant ovarian masses: A cross-sectional study. J Gynecol Obstet Hum Reprod. 2021 May;50(5):101986. doi: 10.1016/j.jogoh.2020.101986. Epub 2020 Nov 13.
PubMed 33197624Barrenada L, Ledger A, Dhiman P, Collins G, Wynants L, Verbakel JY, Timmerman D, Valentin L, Van Calster B. ADNEX risk prediction model for diagnosis of ovarian cancer: systematic review and meta-analysis of external validation studies. BMJ Med. 2024 Feb 17;3(1):e000817. doi: 10.1136/bmjmed-2023-000817. eCollection 2024.
PubMed 38375077Wang R, Yang Z. Evaluating the risk of malignancy in adnexal masses: validation of O-RADS and comparison with ADNEX model, SA, and RMI. Ginekol Pol. 2023;94(10):799-806. doi: 10.5603/GP.a2023.0019. Epub 2023 Mar 17.
PubMed 36929789Munro MG, Critchley HOD, Fraser IS; FIGO Menstrual Disorders Committee. The two FIGO systems for normal and abnormal uterine bleeding symptoms and classification of causes of abnormal uterine bleeding in the reproductive years: 2018 revisions. Int J Gynaecol Obstet. 2018 Dec;143(3):393-408. doi: 10.1002/ijgo.12666. Epub 2018 Oct 10.
PubMed 30198563Ali AT, Al-Ani O, Al-Ani F. Epidemiology and risk factors for ovarian cancer. Prz Menopauzalny. 2023 Jun;22(2):93-104. doi: 10.5114/pm.2023.128661. Epub 2023 Jun 14.
PubMed 37674925Huwidi A, Abobrege A, Assidi M, Buhmeida A, Ermiah E. Diagnostic value of risk of malignancy index in the clinical evaluation of ovarian mass. Mol Clin Oncol. 2022 May 30;17(1):118. doi: 10.3892/mco.2022.2551. eCollection 2022 Jul.
PubMed 35747594Zhang S, Yu S, Hou W, Li X, Ning C, Wu Y, Zhang F, Jiao YF, Lee LTO, Sun L. Diagnostic extended usefulness of RMI: comparison of four risk of malignancy index in preoperative differentiation of borderline ovarian tumors and benign ovarian tumors. J Ovarian Res. 2019 Sep 16;12(1):87. doi: 10.1186/s13048-019-0568-3.
PubMed 31526390Yang S, Tang J, Rong Y, Wang M, Long J, Chen C, Wang C. Performance of the IOTA ADNEX model combined with HE4 for identifying early-stage ovarian cancer. Front Oncol. 2022 Sep 16;12:949766. doi: 10.3389/fonc.2022.949766. eCollection 2022.
PubMed 36185223Lam Huong L, Thi Phuong Dung N, Hoang Lam V, Tran Thao Nguyen N, Minh Tam L, Vu Quoc Huy N. The Optimal Cut-Off Point of the ADNEX Model for the Prediction of the Ovarian Cancer Risk. Asian Pac J Cancer Prev. 2022 Aug 1;23(8):2713-2718. doi: 10.31557/APJCP.2022.23.8.2713.
PubMed 36037125Alberg AJ, Moorman PG, Crankshaw S, Wang F, Bandera EV, Barnholtz-Sloan JS, Bondy M, Cartmell KB, Cote ML, Ford ME, Funkhouser E, Kelemen LE, Peters ES, Schwartz AG, Sterba KR, Terry P, Wallace K, Schildkraut JM. Socioeconomic Status in Relation to the Risk of Ovarian Cancer in African-American Women: A Population-Based Case-Control Study. Am J Epidemiol. 2016 Aug 15;184(4):274-83. doi: 10.1093/aje/kwv450. Epub 2016 Aug 3.
PubMed 27492896Elshami M, Tuffaha A, Yaseen A, Alser M, Al-Slaibi I, Jabr H, Ubaiat S, Khader S, Khraishi R, Jaber I, Abu Arafeh Z, Al-Madhoun S, Alqattaa A, Abd El Hadi A, Barhoush O, Hijazy M, Eleyan T, Alser A, Abu Hziema A, Shatat A, Almakhtoob F, Mohamad B, Farhat W, Abuamra Y, Mousa H, Adawi R, Musallam A, Abu-El-Noor N, Bottcher B. Awareness of ovarian cancer risk and protective factors: A national cross-sectional study from Palestine. PLoS One. 2022 Mar 21;17(3):e0265452. doi: 10.1371/journal.pone.0265452. eCollection 2022.
PubMed 35312720Rossing MA, Tang MT, Flagg EW, Weiss LK, Wicklund KG. A case-control study of ovarian cancer in relation to infertility and the use of ovulation-inducing drugs. Am J Epidemiol. 2004 Dec 1;160(11):1070-8. doi: 10.1093/aje/kwh315.
PubMed 15561986Yu L, Sun J, Wang Q, Yu W, Wang A, Zhu S, Xu W, Wang X. Ovulation induction drug and ovarian cancer: an updated systematic review and meta-analysis. J Ovarian Res. 2023 Jan 24;16(1):22. doi: 10.1186/s13048-022-01084-z.
PubMed 36694251
Study at a glance
From the registry record, last updated by the sponsor on 5 Apr 2024. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Assessment of Different Neoplasias in the Adenxa Model Versus Risk of Malignancy Index as a Tool for Predicting Ovarian Malignancy in Postmenopausal Ovarian Cysts
- ClinicalTrials.gov ID
- NCT06348784
- Acronym / sponsor ID
- 11
- Conditions
- Early Detection of Ovarian Cancer
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 50 participants (actual)
- Lead sponsor
- Ain Shams Maternity HospitalUniversity, hospital or other
- Study start
- 1 Jan 2022 (actual)
- Primary completion
- 1 Jan 2023 (actual)
- Study completion
- 1 Jan 2023 (actual)
- First posted
- 5 Apr 2024 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
Ovarian cancer is the second most common gynecologic malignancy. In 2008, it was the seventh leading cause of cancer deaths in women worldwide. Estimating the risk of malignancy is essential in the management of adnexal masses and several mathematical models and scoring systems have been developed to be used for discrimination between benign and malignant adnexal masses. Knowledge of the specific type of adnexal pathology before surgery is likely to improve patient triage with high accuracy, and it also makes it possible to optimize treatment. The correct identification of stage I cancer is particularly important
Detailed description
Ovarian cancer (OC) is the third most common gynecological malignancy worldwide and carries the highest mortality. OC has an incidence of 11.7 - 12.1 per 100,000 in the USA and Europe, with slightly lower rates of disease in Asia and the Middle East. Most patients (60%) are diagnosed with advanced disease which is associated with significant mortality. The most important factor for survival is the stage at diagnosis and nowadays there isn't a proven effective screening strategy. It is necessary to identify the best tool to detect early-stage disease. To reduce the diagnostic dilemma between benign and malignant ovarian masses, a formula-based scoring system known as the risk of malignancy index (RMI) was introduced in 1990, which was termed RMI 1. RMI is a combined parameter that is simple, specific, and highly sensitive for the evaluation of adnexal masses. It is a product of ultrasound findings (U), the menopausal status (M), and serum CA-125 levels (RMI = U X M XCA-125). The original RMI (RMI-1) was modified in 1996 as (RMI 2) and again in 1999 known as (RMI 3), and the last modification was in 2009 by adding the tumor size (S) to the equation and calling it RMI 4. A systematic review of diagnostic studies concluded that the RMI I was the most effective for women with suspected ovarian malignancy.
Malignant tumors benefit from management in specialized oncology centers, but borderline malignancies, stage I primary invasive tumors, and advanced primary invasive tumors might require different surgical approaches. To optimize patient triage without operating on all masses, diagnostic models can be used to estimate the likelihood of malignancy and hence to plan treatment for patients. The International Ovarian Tumor Analysis Group (IOTA) has developed a multi-tumor prediction model, Assessment of Different NEoplasias in the adneXa (ADNEX) model, which is used to describe in detail the characteristics of adnexal masses. ADNEX model can not only distinguish the probability of benign and malignant AMs, but also distinguish between borderline ovarian tumors, stage I ovarian cancer, stage II-IV ovarian cancer, and secondary metastatic ovarian cancers, which includes three clinical features and six ultrasound features
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
Who may qualify
- Ages
- 40 years and older
- Sex
- Female only
- Age groups
- Adult, Older adult
- Study population
- The study participants were 50 postmenopausal patients who presented to the general gynecology or gynecological oncology outpatient clinic with adnexal mass.
Key inclusion criteria (1 listed)
- All the included patients were postmenopausal; postmenopausal status was defined as having ≥ 1 year of amenorrhea without using any contraceptive method in women ≥ 45 years while for women < 45 years, two consecutive FSH samples one 1month apart with levels ≥ 30 IU/L were required to confirm menopause
Key exclusion criteria (2 listed)
- Accidental discovery of ovarian mass during surgery for other reasons
- Patients with known ovarian cancer who were scheduled for interval debulking after neoadjuvant chemotherapy
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Assesment of Different NEoplasias in the adenexa modelThe ADNEX model includes nine parameters; Age, CA-125 level, Oncology center (yes/no), and 6 ultrasound features which are maximal diameter of the lesion, maximal diameter of the largest solid part, more than 10 locules (yes/no), number of papillary projections (0/1/2/3/more than 3), acoustic shadow, and ascites | Diagnostic test | – |
| Risk of malignancy indexThe RMI was measured as follows; Menopausal status (score is 3 as all patients were postmenopausal X Ultrasound score is based on assessment of 5 features and with the presence of one feature, the score is 1 while if more than one feature is present, the score is 3; the five ultrasound features are the presence of solid components, multilocularity, bilaterality, ascites, and metastases X CA - 125 level | Diagnostic test | – |
| Histopathologic examinationHistopathologic examination of all excised specimens was done as this is the gold standard test for detecting ovarian malignancy | Diagnostic test | – |
Primary outcome
Sensitivity, specificity, positive predictive, and negative predictive value of Assessment of Different NEoplasias in the adneXa model for differentiating between benign and malignant ovarian tumors
Time frame: within 120 days from the scheduled surgery date
The diagnostic performance of the ADNEX model for differentiating between benign and malignant ovarian tumors was assessed at a threshold of 10%. The diagnostic performance was expressed as Area Under Receiver Operating Characteristic Curve (AUC)
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 5 Apr 2024.
- Background: PubMed 32273169Nash Z, Menon U. Ovarian cancer screening: Current status and future directions. Best Pract Res Clin Obstet Gynaecol. 2020 May;65:32-45. doi: 10.1016/j.bpobgyn.2020.02.010. Epub 2020 Mar 3.
- Background: PubMed 29709594Nohuz E, De Simone L, Chene G. Reliability of IOTA score and ADNEX model in the screening of ovarian malignancy in postmenopausal women. J Gynecol Obstet Hum Reprod. 2019 Feb;48(2):103-107. doi: 10.1016/j.jogoh.2018.04.012. Epub 2018 Apr 28.
- Background: PubMed 33197624Ali MN, Habib D, Hassanien AI, Abbas AM. Comparison of the four malignancy risk indices in the discrimination of malignant ovarian masses: A cross-sectional study. J Gynecol Obstet Hum Reprod. 2021 May;50(5):101986. doi: 10.1016/j.jogoh.2020.101986. Epub 2020 Nov 13.
- Background: PubMed 38375077Barrenada L, Ledger A, Dhiman P, Collins G, Wynants L, Verbakel JY, Timmerman D, Valentin L, Van Calster B. ADNEX risk prediction model for diagnosis of ovarian cancer: systematic review and meta-analysis of external validation studies. BMJ Med. 2024 Feb 17;3(1):e000817. doi: 10.1136/bmjmed-2023-000817. eCollection 2024.
- Background: PubMed 36929789Wang R, Yang Z. Evaluating the risk of malignancy in adnexal masses: validation of O-RADS and comparison with ADNEX model, SA, and RMI. Ginekol Pol. 2023;94(10):799-806. doi: 10.5603/GP.a2023.0019. Epub 2023 Mar 17.
- Background: PubMed 30198563Munro MG, Critchley HOD, Fraser IS; FIGO Menstrual Disorders Committee. The two FIGO systems for normal and abnormal uterine bleeding symptoms and classification of causes of abnormal uterine bleeding in the reproductive years: 2018 revisions. Int J Gynaecol Obstet. 2018 Dec;143(3):393-408. doi: 10.1002/ijgo.12666. Epub 2018 Oct 10.
- Background: PubMed 37674925Ali AT, Al-Ani O, Al-Ani F. Epidemiology and risk factors for ovarian cancer. Prz Menopauzalny. 2023 Jun;22(2):93-104. doi: 10.5114/pm.2023.128661. Epub 2023 Jun 14.
- Background: PubMed 35747594Huwidi A, Abobrege A, Assidi M, Buhmeida A, Ermiah E. Diagnostic value of risk of malignancy index in the clinical evaluation of ovarian mass. Mol Clin Oncol. 2022 May 30;17(1):118. doi: 10.3892/mco.2022.2551. eCollection 2022 Jul.
- Background: PubMed 31526390Zhang S, Yu S, Hou W, Li X, Ning C, Wu Y, Zhang F, Jiao YF, Lee LTO, Sun L. Diagnostic extended usefulness of RMI: comparison of four risk of malignancy index in preoperative differentiation of borderline ovarian tumors and benign ovarian tumors. J Ovarian Res. 2019 Sep 16;12(1):87. doi: 10.1186/s13048-019-0568-3.
- Background: PubMed 36185223Yang S, Tang J, Rong Y, Wang M, Long J, Chen C, Wang C. Performance of the IOTA ADNEX model combined with HE4 for identifying early-stage ovarian cancer. Front Oncol. 2022 Sep 16;12:949766. doi: 10.3389/fonc.2022.949766. eCollection 2022.
- Background: PubMed 36037125Lam Huong L, Thi Phuong Dung N, Hoang Lam V, Tran Thao Nguyen N, Minh Tam L, Vu Quoc Huy N. The Optimal Cut-Off Point of the ADNEX Model for the Prediction of the Ovarian Cancer Risk. Asian Pac J Cancer Prev. 2022 Aug 1;23(8):2713-2718. doi: 10.31557/APJCP.2022.23.8.2713.
- Background: PubMed 27492896Alberg AJ, Moorman PG, Crankshaw S, Wang F, Bandera EV, Barnholtz-Sloan JS, Bondy M, Cartmell KB, Cote ML, Ford ME, Funkhouser E, Kelemen LE, Peters ES, Schwartz AG, Sterba KR, Terry P, Wallace K, Schildkraut JM. Socioeconomic Status in Relation to the Risk of Ovarian Cancer in African-American Women: A Population-Based Case-Control Study. Am J Epidemiol. 2016 Aug 15;184(4):274-83. doi: 10.1093/aje/kwv450. Epub 2016 Aug 3.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Amr H El-Shalakany, M.D. study director
Ain Shams University
Kareem M Labib, M.D. study chair
Ain Shams University
Hassan Morsi, PhD study chair
Ain Shams University
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Early Detection of Ovarian Cancer, run by Ain Shams Maternity Hospital at 1 site in Egypt.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 1 inclusion and 2 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 5 Apr 2024. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Egypt. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Sensitivity, specificity, positive predictive, and negative predictive value of Assessment of Different NEoplasias in the adneXa model for differentiating between benign and malignant ovarian tumors (time frame: within 120 days from the scheduled surgery date). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT06348784, which also lists 16 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 5 Apr 2024.