Clinical trial · Observational
Predictors of Ovarian Cancer and Endometrial Cancer for Artificial-Intelligence-Based Screening Tools
Associated Factors of Ovarian Cancer and Endometrial Cancer in Indonesia. A Study for Developing Artificial-Intelligence-Based Screening Tools
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
The goal of this observational study is to explore the possible associated factors of ovarian cancer and endometrial cancer in Indonesia and develop screening tools that could predict the risk of both types of cancer The specific objectives of the study are 1. Elaborating the situation of ovarian and endometrial cancer in Indonesia 2. Exploring the possible clinical, demography and laboratory predictors of these diseases 3. Develop artificial-intelligence-based screening tools for both type of cancer based on possible predictors This study will utilize the patient registry diagnosed with ovarian and endometrial cancer. We assumed that several demography, clinical, and laboratory predictors might possess good screening performance with higher sensitivity and specificity (\>80%).
Conditions
Conditions (3)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Endometrial Cancer | Malignant Endometrial Neoplasm | CURATED_BROADER | 0.80 |
| Endometrial Hyperplasia | — | UNRESOLVED | — |
| Ovarian Cancer | Malignant Ovarian Neoplasm | CURATED_EXACT | 0.92 |
Interventions
Interventions (2)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Artificial-Intelligence Based Screening Tools | Diagnostic Test | — | UNRESOLVED |
| Pathology analysis | Diagnostic Test | — | UNRESOLVED |
Design
Arms and outcomes
Arms (3)
- label
- Suspect of Ovarian Cancer
- description
- The participant with high suspicion of ovarian cancer and undergo gynaecology and pathology assessment
- interventionNames
- Diagnostic Test: Artificial-Intelligence Based Screening Tools
- Diagnostic Test: Pathology analysis
- label
- Suspect of Endometrial Cancer
- description
- The participant with high suspicion of Endometrial cancer (and or endometrial hyperplasia) and undergo gynaecology and pathology assessment
- interventionNames
- Diagnostic Test: Artificial-Intelligence Based Screening Tools
- Diagnostic Test: Pathology analysis
- label
- Normal Cohort
- description
- The participant with lower suspicion of both types of cancer and undergo gynaecology and pathology assessment
- interventionNames
Eligibility
Eligibility (as posted)
- Sex
- Female
Show eligibility criteria text
Inclusion Criteria: * Women with gynaecological symptoms but not limited to 1. Irregular menstruation 2. Heavy bleeding during menstruation 3. pelvic pain 4. vaginal discharge 5. sudden weight loss 6. pain during sexual intercourse * Women who underwent routine gynaecological examination Exclusion Criteria: * unable to undergo serial gynaecological follow-up
References
Publications (6)
- BACKGROUNDAtallah GA, Abd Aziz NH, Teik CK, Shafiee MN, Kampan NC. New Predictive Biomarkers for Ovarian Cancer. Diagnostics (Basel). 2021 Mar 7;11(3):465. doi: 10.3390/diagnostics11030465. PMID 33800113
- BACKGROUNDElias KM, Guo J, Bast RC Jr. Early Detection of Ovarian Cancer. Hematol Oncol Clin North Am. 2018 Dec;32(6):903-914. doi: 10.1016/j.hoc.2018.07.003. Epub 2018 Sep 28. PMID 30390764
- BACKGROUNDTanha K, Mottaghi A, Nojomi M, Moradi M, Rajabzadeh R, Lotfi S, Janani L. Investigation on factors associated with ovarian cancer: an umbrella review of systematic review and meta-analyses. J Ovarian Res. 2021 Nov 11;14(1):153. doi: 10.1186/s13048-021-00911-z. PMID 34758846
- BACKGROUNDZhao J, Hu Y, Zhao Y, Chen D, Fang T, Ding M. Risk factors of endometrial cancer in patients with endometrial hyperplasia: implication for clinical treatments. BMC Womens Health. 2021 Aug 25;21(1):312. doi: 10.1186/s12905-021-01452-9. PMID 34433451
- BACKGROUNDFelix AS, Weissfeld JL, Stone RA, Bowser R, Chivukula M, Edwards RP, Linkov F. Factors associated with Type I and Type II endometrial cancer. Cancer Causes Control. 2010 Nov;21(11):1851-6. doi: 10.1007/s10552-010-9612-8. Epub 2010 Jul 14. PMID 20628804
- BACKGROUNDHerman B, Sirichokchatchawan W, Pongpanich S, Nantasenamat C. Development and performance of CUHAS-ROBUST application for pulmonary rifampicin-resistance tuberculosis screening in Indonesia. PLoS One. 2021 Mar 25;16(3):e0249243. doi: 10.1371/journal.pone.0249243. eCollection 2021. PMID 33765092