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This study presents a method for developing CT protocols adaptable to various patient sizes and exams. The approach ensures consistent radiologist acceptance across different scanners, optimizing CT protocol management.

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Area of Science:

  • Medical Imaging
  • Radiologic Technology
  • Health Informatics

Background:

  • Developing consistent Computed Tomography (CT) protocols across diverse patient demographics and clinical needs is challenging.
  • Existing CT protocols often require manual customization for specific scanners and indications, leading to variability.
  • Optimizing CT technical acquisition parameters is crucial for diagnostic image quality and radiation dose management.

Purpose of the Study:

  • To introduce a systematic method for creating adaptable CT protocols based on tube current data.
  • To enable the customization of CT protocols across different patient body sizes and clinical applications.
  • To validate the effectiveness and cross-scanner consistency of the developed CT protocol management system.

Main Methods:

  • Analytical expressions were derived to correlate CT technical acquisition parameters.
  • Tube output data from DICOM headers and patient size from localizer radiographs were utilized.
  • A master protocol was established and expanded to create multiple clinical protocols, tested across three scanners.
  • Radiologist acceptance rates for 12,857 patient exams were analyzed using a two-tailed Fisher's exact test.

Main Results:

  • A methodology was developed to generate adaptable CT protocols from a limited set of master protocols.
  • The created protocols demonstrated high radiologist acceptance rates, with minimal statistically significant differences across scanners.
  • Trade-offs between increasing effective tube output (e.g., decreasing pitch, increasing scan time, increasing kV) were analyzed.

Conclusions:

  • The described methodology effectively allows for the adaptation of CT protocols across different clinical indications and CT scanner models.
  • This approach facilitates efficient CT protocol management, ensuring consistency and high acceptance rates.
  • The findings support the use of a standardized, data-driven method for CT protocol development and customization.