Related Experiment Video
Updated: Feb 15, 2026
09:49
A Whole Body Dosimetry Protocol for Peptide-Receptor Radionuclide Therapy PRRT: 2D Planar Image and Hybrid 2D+3D SPECT/CT Image Methods
Published on: April 24, 2020
10.5K
A practical background correction method for an immediately repeated first-pass radionuclide angiography
Lien-Hsin Hu1, Liang-Chih Wu1, Chien-Ying Lee1
1Department of Nuclear Medicine, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
Journal of the Chinese Medical Association : JCMA
|February 6, 2018
Summary
A new method corrects background interference in first-pass radionuclide angiography (FPRNA) after suboptimal bolus injections. This technique improves the accuracy of ejection fraction measurements, avoiding repeat studies and ensuring reliable cardiac function assessment.
Area of Science:
- Nuclear Medicine
- Cardiovascular Imaging
- Radiology
Background:
- First-pass radionuclide angiography (FPRNA) requires satisfactory bolus injections for accurate results.
- Suboptimal injections lead to background interference, often necessitating study rescheduling.
- A novel protocol was developed to correct pre-existing background activity.
Purpose of the Study:
- To develop and validate a method for correcting background activity in FPRNA.
- To assess the impact of background correction on ejection fraction (EF) measurements.
- To improve the reliability of FPRNA by avoiding repeat procedures.
Main Methods:
- Seventy-four patients undergoing same-day bone scan and FPRNA were analyzed.
- Ejection fraction (EF) was calculated from initial and repeated injections, with and without background correction.
- A subset of patients had clearance constants determined for enhanced background correction.
Main Results:
- The corrected ejection fraction (EF2') showed significantly smaller mean differences compared to the uncorrected EF2 for both left and right ventricles (LV and RV).
- Mean differences for LV were 1.6 ± 2.1% (corrected) vs. 3.1 ± 2.0% (uncorrected).
- Mean differences for RV were 1.8 ± 1.8% (corrected) vs. 2.2 ± 1.9% (uncorrected).
Conclusions:
- Immediate re-administration of bolus injection in FPRNA can underestimate LVEF and RVEF.
- The developed correction method provides superior results compared to uncorrected data.
- This protocol enhances the accuracy of FPRNA, particularly when initial injections are suboptimal.
Related Concept Videos
01:12First Pass Effect
9.7K
Presystemic elimination, or the first-pass effect, is the metabolism of drugs that reduces their effective concentration at the site of action. Apart from the first-pass effect, the systemic bioavailability of the drug is also reduced by other factors, including incomplete absorption or chemical degradation of drugs.
Depending on the route of administration, drugs can be metabolized in the liver, intestine, lungs, and vasculature. Orally administered drugs are first absorbed through the...
Depending on the route of administration, drugs can be metabolized in the liver, intestine, lungs, and vasculature. Orally administered drugs are first absorbed through the...
9.7K
01:15Distance Corrections
303
To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
303
01:20Power Factor Correction
562
The power transmission to a factory involves the transfer of apparent power, a combination of active and reactive power. The power factor measures how effectively electrical power is converted into useful work output. The ratio of the real power (KW) that does the work to the apparent power (KVA) supplied to the circuit.
562
02:27Background and Environment Affect Phenotype
7.8K
Although the genetic makeup of an organism plays a major role in determining the phenotype, there are also several environmental factors, such as temperature, oxygen availability, presence of mutagens, that can alter an organism’s phenotype.
An example of how genetic background affects phenotype can be seen in horses. The Extension gene in horses is responsible for their coat color. A wild-type gene (EE) produces black pigment in the coat, while a mutant gene (ee) produces red pigment. A...
An example of how genetic background affects phenotype can be seen in horses. The Extension gene in horses is responsible for their coat color. A wild-type gene (EE) produces black pigment in the coat, while a mutant gene (ee) produces red pigment. A...
7.8K
01:05Difference from Background: Limit of Detection
8.5K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
The LOD indicates the presence or absence...
8.5K
01:25Single-pass Transmembrane Proteins
6.8K
Integral membrane proteins are tightly associated with the cell membrane and play a crucial role in cell communication, signaling, adhesion, and transport of the molecules. Some integral membrane proteins are present only in the membrane monolayer. For example, the enzyme fatty acid amide hydrolase is present in the cytoplasmic side of the membrane monolayer. In contrast, another type of integral membrane protein, also known as a transmembrane protein, spans across the membrane. Transmembrane...
6.8K