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NCT03207074

Can the iKnife Distinguish Between Normal and Malignant Endometrial Tissue?

Completed NA Results posted Last updated 14 July 2020
What this trial tests

NA trial testing iKnife i.e. Rapid Evaporative Ionisation Mass Spectrometry in Endometrial Neoplasms in 150 participants. Completed in 1 June 2020.

Timeline
13 June 2017
Primary endpoint
20 June 2019
1 June 2020

Quick facts

Lead sponsorImperial College London
PhaseNA
StatusCompleted
Study typeINTERVENTIONAL
Allocationna
Designsingle group
Maskingnone
Primary purposediagnostic
Enrollment150
Start date13 June 2017
Primary completion20 June 2019
Estimated completion1 June 2020
Sites1 location across United Kingdom

Drugs / interventions tested

Conditions studied

Sponsor

Imperial College London

Who can join

18 and older, female only, with Endometrial Neoplasms or Endometrial Cancer. Patients with the condition only — healthy volunteers not accepted.

Results — posted to ClinicalTrials.gov

Per-arm endpoint measurements with 95% confidence intervals where reported. Source: trial results section.

Diagnostic Ability of iKnife (REIMS) in Detection of Cancer and Pre-cancer in Endometrial Biopsy Specimens Primary · Each patient was assessed in clinic and the research biopsy was performed during the clinic visit. It was processed within 4 hours by the iKnife (or snap frozen and processed at a later date, within 3months)

Sensitivity, specificity and positive and negative predictive values will be obtained for this new technology compared to gold standard (histopathological exam). Test sensitivity is the ability of the iknife to correctly identify those with endometrial cancer (true positive rate). Test specificity is the ability of the iKnife to correctly identify those without endometrial cancer (true negative rate). Positive predictive value is the probability that patients with a positive iKnife test result truly have the disease. Negative predictive value is the probability that patients with a negativ

Sensitivity
GroupValue95% CI
All Patients79
Specificity
GroupValue95% CI
All Patients96
Positive Predictive value
GroupValue95% CI
All Patients93
Negative predictive value
GroupValue95% CI
All Patients86

Sponsor's own description

Aim: Determine if Rapid Evaporative Ionization Mass Spectrometry (the iKnife); can diagnose cancer and pre-cancer from endometrial tissue biopsy samples. Women attending a gynaecology clinic for assessment of abnormal bleeding will receive an pelvic (internal) ultrasound as routine standard of care. If any abnormalities are detected, a tissue sample will be needed. If women are agreeable a second tissue sample will be taken for research. The first will be analysed by conventional means (histopathology). The second sample with new technology called the 'iKnife'. This is a modified type of Mass spectrometry device, that separates particles based on their mass charge ratio. The idea being that if tissue is burnt, gas is produced, and this gas contains lots of ions that can be analysed by the iKnife. Each type of tissue (cancer or non-cancer) will have a unique signature that the iKnife can use to distinguish between samples. If effective it could be used in future outpatient clinics to provide a one-stop, true point of care diagnosis.

Publications & conference data

1 peer-reviewed publication reference this trial (live from Europe PMC):

  1. Biosensors: from personalised medicine to population health.
    · 2020 · PMID 32245652 · DOI 10.1016/j.ebiom.2020.102746

Verify or expand the search:

Other recruiting trials for Endometrial Neoplasms

Currently open trials in the same condition.

Other Imperial College London trials

Trials by the same sponsor.

Verify against primary sources

Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT03207074.

Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing