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Surveys02:16

Surveys

Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
Observational Studies01:11

Observational Studies

Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One example of...
Elastic Collisions: Case Study01:15

Elastic Collisions: Case Study

Elastic collision of a system demands conservation of both momentum and kinetic energy. To solve problems involving one-dimensional elastic collisions between two objects, the equations for conservation of momentum and conservation of internal kinetic energy can be used. For the two objects, the sum of momentum before the collision equals the total momentum after the collision. An elastic collision conserves internal kinetic energy, and so the sum of kinetic energies before the collision equals...
One-Way ANOVA01:18

One-Way ANOVA

One-way ANOVA analyzes more than three samples categorized by one factor. For example, it can compare the average mileage of sports bikes. Here, the data is categorized by one factor - the company. However, one-way ANOVA cannot be used to simultaneously compare the sample mean of three or more samples categorized by two factors. An example of two factors would be sports bikes from different companies driven in different terrains, such as a desert or snowy landscape. Here, two-way ANOVA is used...
Data Collection by Survey01:07

Data Collection by Survey

The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
Variability: Analysis01:11

Variability: Analysis

Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...

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Related Experiment Video

Updated: May 26, 2026

Quantitative [18F]-Naf-PET-MRI Analysis for the Evaluation of Dynamic Bone Turnover in a Patient with Facetogenic Low Back Pain
06:31

Quantitative [18F]-Naf-PET-MRI Analysis for the Evaluation of Dynamic Bone Turnover in a Patient with Facetogenic Low Back Pain

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SUVref: reducing reconstruction-dependent variation in PET SUV.

Matthew D Kelly1, Jerome M Declerck

  • 1Siemens plc, Healthcare Sector, Molecular Imaging, 23/38 Hythe Bridge Street, Oxford, OX1 2EP, UK. matthew.kelly@siemens.com.

EJNMMI Research
|January 5, 2012
PubMed
Summary
This summary is machine-generated.

We developed reference Standardised Uptake Value (SUVref) to reduce variations in PET/CT scan quantification caused by different reconstruction protocols. This improves the comparability of scans for monitoring disease progression.

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Area of Science:

  • Medical Imaging
  • Nuclear Medicine
  • Quantitative Analysis

Background:

  • Quantitative variation in positron emission tomography (PET)/CT scans arises from differences in reconstruction protocols.
  • This variation impedes comparability between scans, even when using Standardised Uptake Value (SUV) or PERCIST criteria.
  • A novel methodology is needed to address reconstruction-protocol-dependent variability.

Purpose of the Study:

  • To introduce and evaluate a new methodology, reference Standardised Uptake Value (SUVref), for reducing quantitative variation in PET/CT scans.
  • To improve the comparability of quantitative measurements across different reconstruction protocols.
  • To enhance the reliability of PET/CT imaging for clinical applications.

Main Methods:

  • Developed SUVref, which applies a reconstruction-protocol-specific phantom-optimized filter to clinical PET scans.
  • Assessed the ability of the SUVref filter to reduce variability using both phantom and clinical data.
  • Evaluated the impact of SUVref on quantitative conformance to established guidelines (e.g., EANM).

Main Results:

  • SUVref significantly reduced variability in recovery coefficients measured with the NEMA image quality phantom across multiple reconstruction protocols.
  • The methodology enabled quantitative conformance to proposed EANM guidelines.
  • For clinical data, SUVref substantially reduced bias and variance, minimizing misclassification of 'hot spots' due to reconstruction differences.

Conclusions:

  • SUVref effectively reduces reconstruction-dependent variation in SUV measurements.
  • This leads to increased confidence in quantitative comparisons of clinical PET/CT images for monitoring treatment response and disease progression.
  • The SUVref methodology shows potential for reducing variability stemming from scanner hardware differences as well.