Clinical trial · Observational
Spectroscopy in Ovarian Cancer
Molecular Spectroscopy in Identification and Assessment of Ovarian Cancer
- 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)
Ovarian cancer is the eighth most common cause of cancer death in the world. Advanced stage at diagnosis is associated with lower survival rates, thus early detection appears to have an important role. Raman Spectroscopy is a non-invasive technique that uses the interaction of light to identify the composition of the sample tested. The aim of the project is to explore the use of spectroscopic techniques in the detection of ovarian cancer. There are two different assessments within the project: 1. Identify ovarian cancer in blood - Raman spectroscopic analysis will be performed on blood plasma taken from patients with suspected ovarian cancer. 2. Detect active cancer within post chemotherapy fibrotic tissue - Ex vivo Raman spectroscopic analysis of peritoneal, omental or ovarian tissues collected from patients undergoing surgical treatment for ovarian cancer. The results of the spectroscopy will be correlated to clinical outcome and histological diagnosis respectively.
Conditions
Conditions (4)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Ovarian Cancer | Malignant Ovarian Neoplasm | CURATED_EXACT | 0.92 |
| Ovarian Neoplasms | Ovarian Neoplasm | ONTOLOGY_EXACT | 0.98 |
| Ovary Cyst | — | UNRESOLVED | — |
| Ovary Disease | — | UNRESOLVED | — |
Interventions
Interventions (0)
Data not yet available
Design
Arms and outcomes
Arms (1)
- label
- Suspected Ovarian Cancer
- description
- Patients referred or self presenting to secondary care with signs or symptoms of ovarian cancer.
Primary outcomes (2)
- measure
- Ascertain the diagnostic performance of vibrational spectroscopy for detection of Ovarian Cancer
- timeFrame
- 2 years
- description
- Biomarkers for ovarian cancer will be identified by analysing Raman spectral data of plasma samples taken from patient with ovarian cancer symptoms. Clinical outcome of cancer/no cancer will be used to correlate the results.
- measure
- Ascertain the discriminatory ability of vibrational spectroscopy to differentiate between normal, fibrotic and cancerous tissue
- timeFrame
- 2 years
- description
- Samples taken from post chemotherapy patients will be analysed to identify the spectral signature of ovarian cancer in chemotherapy exposed tissue.
Secondary outcomes (2)
Eligibility
Eligibility (as posted)
- Sex
- Female
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: * Female * Symptoms suggestive of ovarian cancer * Patients undergoing treatment of Ovarian Cancer Exclusion Criteria: * Less than 18 years of age * Unable to consent to the study due to communication difficulties * Unable to consent to the study due to lack of capacity
References
Publications (0)
Data not yet available