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Related Concept Videos

Data Validation01:03

Data Validation

Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
Data Validation01:15

Data Validation

Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:
Pre-Procedural Guidelines for Assessing Blood Pressure01:10

Pre-Procedural Guidelines for Assessing Blood Pressure

Accurate blood pressure assessment is crucial for diagnosing and managing various health conditions. To ensure the reliability of these measurements, healthcare professionals must adhere to standardized pre-procedural guidelines. These guidelines enhance patient safety and improve the overall quality of healthcare. The following steps are essential for obtaining accurate and consistent blood pressure readings, from using the appropriate tools to ensuring effective communication with the patient.

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Related Experiment Video

Updated: Jun 28, 2026

A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound
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Published on: March 21, 2025

Cross-prescription validation of knowledge-based planning in prostate VMAT using a structured validation framework.

Soma Sawada1, Motoharu Sasaki2, Yuji Nakaguchi3

  • 1Graduate School of Health Sciences, Faculty of Medicine, Tokushima University, Tokushima, Tokushima 770-8503, Japan.

Medical Dosimetry : Official Journal of the American Association of Medical Dosimetrists
|June 26, 2026
PubMed
Summary
This summary is machine-generated.

Reusing knowledge-based planning models for prostate VMAT is feasible across different prescription regimens. This approach streamlines treatment planning, reducing the need for extensive model rebuilding in clinical settings.

Keywords:
Cross-prescription validationDose fractionationKnowledge-based planningProstate cancerRapidPlan

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Area of Science:

  • Radiation Oncology
  • Medical Physics
  • Cancer Treatment

Background:

  • Knowledge-based planning (KBP) enhances prostate VMAT quality but often requires separate models for different prescriptions.
  • Adapting KBP models to new prescription regimens can be impractical due to the need for rebuilding.

Purpose of the Study:

  • To investigate the feasibility of reusing a single KBP model across different prostate VMAT prescription regimens with varying dose constraints.
  • To assess the clinical practicality and dosimetric performance of a reused KBP model.

Main Methods:

  • A KBP model trained for conventional fractionation was validated using closed-loop, open-loop, and cross-prescription frameworks.
  • Plans generated by the reused KBP model were compared against manually created plans using dosimetric metrics and plan quality scores.

Main Results:

  • The KBP model demonstrated reproducibility and generalizability to independent cases.
  • Reuse of the model for hypofractionated VMAT yielded comparable plan quality and acceptable organ-at-risk sparing, with minor impact on target dose homogeneity.

Conclusions:

  • Reusing KBP models for prostate VMAT is a practical approach that minimizes the need for repeated model development.
  • This strategy offers efficient and standardized treatment planning, especially beneficial for institutions with limited resources.