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Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...

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Technical Note: An open source solution for improving TG-263 compliance.

Rex A Cardan¹, Elizabeth L Covington¹, Richard A Popple¹

¹Department of Radiation Oncology, University of Alabama-Birmingham, Birmingham, AL, USA.

Journal of Applied Clinical Medical Physics

|September 20, 2019

Summary

This summary is machine-generated.

Implementing TG-263 nomenclature standards is challenging. An open-source solution with templates and automation significantly improved compliance, reducing errors from 31.8% to 2.2%.

Keywords:

scripting structure nomenclature task group 263

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Area of Science:

Medical Imaging
Radiology Informatics

Background:

TG-263 nomenclature standards are crucial for consistent medical imaging data.
Adherence to these standards can be complex and time-consuming in clinical practice.

Purpose of the Study:

To introduce and evaluate an open-source solution for improving compliance with TG-263 nomenclature standards.
To assess the impact of standardized templates and automated scripts on nomenclature accuracy.

Main Methods:

Implementation of TG-263 compliant templates across disease sites in two phases.
Development and deployment of an automated script to identify and report compliance errors.
Quantification of compliance error rates before and after each implementation phase.

Main Results:

Initial mean compliance error rate was 31.8% ± 17.4%.
Phase 1 (templates) reduced errors to 8.1% ± 12.2%.
Phase 2 (automation) further decreased errors to 2.2% ± 6.9%.

Conclusions:

Both TG-263 structure templates and automation scripts effectively enhance compliance with naming standards.
The developed open-source software offers a practical solution for other institutions seeking to improve TG-263 compliance.