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A Study to Evaluate the Effectiveness of VIZAMYL™ Reader Training Programme in Europe

Completed
Conditions
Cognitive Impairment
Registration Number
NCT04773015
Lead Sponsor
GE Healthcare
Brief Summary

This is a study to determine the effectiveness of the VIZAMYL™ reader training programme in clinical practice in Europe

Detailed Description

This study is a combination of Prospective and Retrospective models.

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
227
Inclusion Criteria
  • The subject is an adult (aged 18 years or older) of any race or gender and has been referred for a VIZAMYL™ PET brain scan as part of the assessment of his/her cognitive impairment.
  • The VIZAMYL™ scan was ordered as part of the clinical care of the subject and is not exclusively for a clinical trial.
  • If informed consent is required by the local IEC, the subject, or his/her legally authorised representative, is willing and able to sign consent for use of their de-identified VIZAMYL™ PET images and associated anatomic images (brain CT and/or MRI) used in the interpretation of the VIZAMYL™ images as well as de-identified demographic information.
Exclusion Criteria
  • If informed consent is required by the local IEC, the subject (or representative) is not willing to consent to their de-identified images and other data being used in this study.

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
Accuracy of VIZAMYL™ PET Image Interpretations Made by Clinical ReadersUp to 1093 days

Accuracy was estimated as 100 percent (%) \*(number of true positives \[TP\] + number of true negatives \[TN\]) / (number of TP + number of TN + number of false positives \[FP\] + number of false negatives \[FN\]). The data presented are the point estimates representing percentage of accuracy, with Measure Type "Number" and 95% exact binomial confidence interval. These have been estimated using Clopper-Pearson method.

Sensitivity of VIZAMYL™ PET Image Interpretations Made by Clinical ReadersUp to 1093 days

Sensitivity was defined as 100%\*number of TP / (number of TP + number of FN). The data presented are the point estimates representing percentage sensitivity, with Measure Type "Number" and 95% exact binomial confidence interval. These have been estimated using Clopper-Pearson method.

Specificity of VIZAMYL™ PET Image Interpretations Made by Clinical ReadersUp to 1093 days

Specificity was defined as 100%\*number of TN / (number of TN + number of FP). The data presented are the point estimates representing the percentage specificity, with Measure Type "Number" and 95% exact binomial confidence interval. These have been estimated using Clopper-Pearson method.

Positive Predictive Value (PPV) of VIZAMYL™ PET Image Interpretations Made by Clinical ReadersUp to 1093 days

The PPV was defined as 100%\*number of TP / (number of TP + number of FP). The data presented are the point estimates representing percentage PPV, with Measure Type "Number" and 95% exact binomial confidence interval. These have been estimated using Clopper-Pearson method.

Negative Predictive Value (NPV) of VIZAMYL™ PET Image Interpretations Made by Clinical ReadersUp to 1093 days

The NPV was defined as 100%\*number of TN/ (number of TN + number of FN). The data presented are the point estimates representing percentage NPV, with Measure Type "Number" and 95% exact binomial confidence interval. These have been estimated using Clopper-Pearson method.

Secondary Outcome Measures
NameTimeMethod
Correlation Coefficient Between Clinical Reader Age and AccuracyUp to 1093 days

Correlation coefficient was used to assess the correlation between clinical reader age and accuracy. A scatterplot of clinical reader accuracy vs. reader age was plotted to check correlation (coefficient) between accuracy and age.

Number of Participants With Accuracy Less Than (<) 0.9333 or Greater Than Equal to (>=) 0.9333 in Terms of Sex of Clinical ReadersUp to 1093 days

Number of participants with accuracy \< 0.9333 or \>= 0.9333 in terms of sex of clinical readers were reported.

Number of Participants With Association of Electronic Training (With or Without In-Person Training) With Clinical Reader AccuracyUp to 1093 days

Number of participants with association of electronic training (with or without In-person training) with clinical reader accuracy were reported.

Number of Participants With Association of In-Person Training (With or Without Electronic Training) With Clinical Reader AccuracyUp to 1093 days

Number of participants with association of In-person training (with or without electronic training) with clinical reader accuracy were reported.

Number of Participants With Association of Training Type With Clinical Reader Accuracy (Excluding Readers Who Took Both Types)Up to 1093 days

Number of participants with association of training type with clinical reader accuracy (excluding readers who took both types) were reported.

Time From Last TrainingRetrospective data covering up to 8.1 years

Time from last training was reported. Number of readers remaining at timepoint was number of readers with accuracy greater than or equal to 0.9333. All readers met this criterion at time 0 hence, data for all clinical reader is reported. All 18 readers were trained in interpretation of Vizamyl images \& as part of their training, had their interpretation accuracy tested using 15 test images. To pass test, a reader had to interpret atleast 14 of 15 images correctly. 14 represents 0.9333 of 15, so each reader had to have an accuracy of atleast 0.9333 in order to pass test. Date on which a reader took his/her test is considered to be Time 0. Each reader's accuracy at a later time was assessed in study.

Trial Locations

Locations (10)

Ospedal Mons Dimicolli - Barletta

🇮🇹

Barletta, Italy

U.O. Medicina Nucleare- ASSST Spedali Civili P.O. di Brescia

🇮🇹

Brescia, Italy

Clinica Universidad de Navarra

🇪🇸

Pamplona, Spain

Vall d'Hebron University Hospital

🇪🇸

Barcelona, Spain

Hospital Universitari de Bellvitge

🇪🇸

Barcelona, Spain

Catharina Ziekenhuis

🇳🇱

Eindhoven, Netherlands

Azienda Ospedaliero Universitaria Careggi - S.O.D. Patologia Medica

🇮🇹

Firenze, Italy

Kepler Universittsklinikum Neuromed Campus

🇦🇹

Linz, Wagner-Jauregg-Weg, Austria

Helsinki University Central Hospital

🇫🇮

Helsinki, Finland

Landeskrankenhaus Vocklabruck

🇦🇹

Vöcklabruck, Austria

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