IMPROCAS - Improved Prediction of Ovarian Cancer Surgery

Conditions

Ovarian cancer

Brief summary

- to evaluate the diagnostic performance of DCE MRI, DKI and 31P MRS, - to create a diagnostic algorithm that can help the clinician to classify correct diagnosis and FIGO-staging of ovarian cancer., - to assess if the HP 13C MRI contributes to correct histopathological diagnosis., - to assess if the HP 13C MRI contributes to staging of ovarian cancer., - For the NMR-derived analyses from the blood samples: the ability to distinguish patients with cancer from those without cancer., For the NMR-derived analyses from the blood samples: the prediction of correct histopathological diagnosis

Detailed description

- To assess the repeatability and reproducibility of multiparametric pelvic MRI in patients suspected with ovarian cancer, For the NMR-derived analyses from the blood samples: - the prediction of surgical resectability

Related papers

No related papers found yet.

Papers published before 2007-09-01 may not appear yet. Historical indexing is in progress.

Interventions

DRUGHyperpolarized [1-13C]pyruvate

DRUGDotarem

DRUGinjektionsvæske

DRUGopløsning i enkeltdosisbeholder. i.v.

Eligibility

Sex/Gender

All

Age

18 Years to No maximum

Design outcomes

Secondary

Measure	Time frame
- To assess the repeatability and reproducibility of multiparametric pelvic MRI in patients suspected with ovarian cancer, For the NMR-derived analyses from the blood samples: - the prediction of surgical resectability	—

Primary

Measure	Time frame
- to evaluate the diagnostic performance of DCE MRI, DKI and 31P MRS, - to create a diagnostic algorithm that can help the clinician to classify correct diagnosis and FIGO-staging of ovarian cancer., - to assess if the HP 13C MRI contributes to correct histopathological diagnosis., - to assess if the HP 13C MRI contributes to staging of ovarian cancer., - For the NMR-derived analyses from the blood samples: the ability to distinguish patients with cancer from those without cancer., For the NMR-derived analyses from the blood samples: the prediction of correct histopathological diagnosis	—

Measure

Time frame

- to evaluate the diagnostic performance of DCE MRI, DKI and 31P MRS, - to create a diagnostic algorithm that can help the clinician to classify correct diagnosis and FIGO-staging of ovarian cancer., - to assess if the HP 13C MRI contributes to correct histopathological diagnosis., - to assess if the HP 13C MRI contributes to staging of ovarian cancer., - For the NMR-derived analyses from the blood samples: the ability to distinguish patients with cancer from those without cancer., For the NMR-derived analyses from the blood samples: the prediction of correct histopathological diagnosis

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Countries

Denmark

Outcome results

None listed