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Drug delivery in solid tumors, whether administered systemically or locoregionally, is hindered by an elevated interstitial fluid pressure (IFP). Stromal targeting therapies are in active development, aiming to enhance drug transport after systemic or locoregional delivery. To date, no clinical methods are available to quantify tumor biophysical properties (including IFP). The investigators aim to use a combination of dynamic contrast enhanced MRI and computational fluid modeling (CFD) to measure stromal IFP in patients with pancreatic cancer and in patients with ovarian or colonic peritoneal carcinomatosis (PC). Computational data will be correlated with therapy response, platinum drug penetration, and invasively measured biophysical parameters after intravenous (pancreas) or intraperitoneal (ovarian/colonic PC) administration of a platinum compound. This would be the first in depth clinical study addressing this important topic, and could pave the way to developing personalized computational based treatment approaches aimed at targeting the biophysical environment of the tumor stroma in order to enhance cancer drug delivery.
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Exclusion criteria
Age <18 years
Pregnancy, or suspected inadequate contraception during study period
Clinically detectable ascites
Intestinal or urinary tract obstruction
Hepatic and/or extra-abdominal metastatic disease
Impaired renal function (serum creatinine > 1.5mg/dl or calculated GFR (CKD-EPI) < 60mL/min/1.73 m²)
Impaired liver function (serum total bilirubin > 1.5 mg/dl, except for known Gilbert's disease)
Platelet count < 100.000/µl
Hemoglobin < 9g/dl
Neutrophil granulocytes < 1.500/ml
Irresectable or metastatic disease
Contra-indication for contrast enhanced MRI
Frail and medically unfit patients (Karnofsky index < 60% and WHO Performance score 3 or 4)
Estimated life expectancy < 12 months
In case of ovarian/colon cancer: no visible peritoneal metastasis on CT scan
Acute or chronic pancreatitis
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Interventional model
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44 participants in 1 patient group
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Data sourced from clinicaltrials.gov
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