Apparent Diffusion Coefficient as a Prognostic Biomarker in Cervical Cancer
Diffusion-weighted MRI at 3T Using an Endovaginal Coil: Evaluating the Prognostic Value of the Apparent Diffusion Coefficient Distribution in Stage 1 Cervical Tumours
1 other identifier
observational
236
1 country
1
Brief Summary
This study aims to develop the technique of Diffusion-Weighted Magnetic Resonance Imaging(DW-MRI)for the assessment of stage 1 cervical cancers. An endovaginal receiver coil has been designed and developed at the Institute of Cancer Research and Royal Marsden NHS Foundation Trust for use at high field strengths(3T). This will be used to evaluate if DW-MRI at 3T can be used to differentiate different histological characteristics within whole tumours and so determine if the technique could be of prognostic value. The study hypothesis is that this technique will be able to differentiate tumours with histological features known to be associated with poor prognosis (tumour type, grade and lymphovascular space invasion).
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Oct 2013
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
August 29, 2013
CompletedFirst Posted
Study publicly available on registry
September 9, 2013
CompletedStudy Start
First participant enrolled
October 2, 2013
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 1, 2019
CompletedStudy Completion
Last participant's last visit for all outcomes
May 31, 2019
CompletedJanuary 28, 2020
January 1, 2020
5.6 years
August 29, 2013
January 27, 2020
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
To obtain histogram metrics(centiles, skew, kurtosis, entropy) for cervical cancer and compare them between histologically poor prognosis and good prognosis groups.
Pixel by pixel analysis of ADC from tumour regions of interest will be used to derive histograms and the 10th, 25th, 50th, 75th and 90th centile values and histogram skew, kurtosis and entropy values for each tumour will be recorded. The number of regions will vary with tumour volume in each patient, given the mean size of lesions in patients studied in a pilot set, it is envisaged that we will analyse 1-5 regions of interest in each tumour. The data will be analysed separately by 2 observers who will be blinded to the histopathological characteristics and assuming good inter-observer agreement, an average of their results will be used for data analysis. The difference in mean centile ADC values of the distribution and the skewness, kurtosis and entropy values between squamous vs. adenocarcinoma, well/moderately differentiated vs. poorly differentiated tumour regions and the absence vs. the presence of lymphovascular space invasion in that region will be determined.
1-2 months post imaging
Secondary Outcomes (1)
Establish ADC values associated with poor prognosis tumours
Duration of study, 2-3 years
Study Arms (1)
Cervical Cancer
Patients with presumed early cervical cancer being considered for curative surgery
Interventions
Eligibility Criteria
Primary Care Clinic
You may qualify if:
- All patients with presumed early stage cervical cancer being considered for curative surgery
You may not qualify if:
- Ferromagnetic metal implants
- claustrophobia (MRI incompatibility)
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Institute of Cancer Research, United Kingdomlead
- Cancer Research UKcollaborator
Study Sites (1)
The Institute of Cancer Research and Royal Marsden NHS Foundation Trust
Sutton, Surrey, SM2 5PT, United Kingdom
MeSH Terms
Conditions
Study Officials
- PRINCIPAL INVESTIGATOR
Nandita deSouza, Professor
ICR
Study Design
- Study Type
- observational
- Observational Model
- CASE ONLY
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor of Translational Imaging
Study Record Dates
First Submitted
August 29, 2013
First Posted
September 9, 2013
Study Start
October 2, 2013
Primary Completion
May 1, 2019
Study Completion
May 31, 2019
Last Updated
January 28, 2020
Record last verified: 2020-01