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TOwards Personalized multi-modality esophageal cancer treatment using machine learning-based Quantitative MRI

TOwards Personalized multi-modality esophageal cancer treatment using machine learning-based Quantitative MRI - TOP-QMRI

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
NL-OMON
Registry ID
NL-OMON56160
Enrollment
65
Registered
2023-10-25
Start date
2024-01-22
Completion date
Unknown
Last updated
2025-08-18

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

esophageal cancer tumour pathophysiology

Interventions

None listed

Sponsors

Amsterdam UMC
Lead Sponsor

Eligibility

Age
18 Years to 99 Years

Inclusion criteria

Inclusion criteria: 1. Patients with biopsy-proven esophageal cancer (adenocarcinoma) 2. WHO-performance score 0-2. 3. Written informed consent. For sub-study III, subjects must also meet the following criterium: 4. Planned for neoadjuvant therapy and surgery with curative intent (cT1-4a, N0-3, M0)

Exclusion criteria

Exclusion criteria: 1. Contra-indications for MR scanning. 2. Age

Design outcomes

Primary

MeasureTime frame
Sub-study I:No quantitative endpoints will be derived. Success will be defined as having a high-quality fast quantitative MRI protocol for multi-contrast imaging of tumour pathophysiology at 3T. This includes: visibility of tumor tissue on the individual MR images, visibility of tumor tissue on the derived quantitative MRI parameter maps and adequate signal to noise ratio in the tumor tissue Sub-study II: Inter- & intra-session repeatability coefficient are assessed, based on the standard deviation of repeated measures, indicating 95% CI of repeated measures. Sub-study III: The effect size of quantitative MRI parameters: f at MRI-1, Ktrans at MRI-1, ΔD from MRI-1 to MRI-3 for prediction of the presence of residual tumor in the ex vivo surgical specimen in individual esophageal cancer patients

Secondary

MeasureTime frame
Sub-study II: - Inter- & intra-session coefficient of variation for the repeatability are assessed, indicating variation of the measurement compared to the mean in percentages. - Baseline characteristics (mean and standard deviation) on the quantitative MRI parameter maps (D, D*, f, T2*, T2 and T1) of the esophageal tumor. Sub-study III: - Area under the curve (AUC) of receiver-operator characteristic (ROC) analysis of quantitative MRI parameters at MRI-1, MRI-2, MRI-3 for prediction of the presence of residual tumor in the ex vivo surgical specimen in individual esophageal cancer patients. - Spatial correlation of quantitative MRI parameters to histopathology of ex vivo surgical specimens - Response of quantitative MRI parameters (D, D*, f, Ktrans, Kep, Ve, Vp, T2*, T2 and T1) to neoadjuvant therapy on individual esophageal cancer patients - Correlation between the baseline quantitative MRI parameters (D, D*, f, Ktrans, Kep, Ve, Vp, T2*, T2 and T1) and treatment efficacy (MRI1) - Correlation between the change in quantitative MRI parameters (D, D*, f, Ktrans, Kep, Ve, Vp, T2*, T2 and T1) and treatment efficacy (MRI1, MRI2 & MRI3) - Correlation between the quantitative MRI parameters (D, D*, f, Ktrans, Kep, Ve, Vp, T2*, T2 and T1) and 18-F-FDG-PET-CT parameters

Countries

Netherlands

Outcome results

None listed

Source: NL-OMON (via WHO ICTRP)