دورية أكاديمية
Protocol parameter extraction and centralization framework for comprehensive and in-depth CT protocol review and management.
| العنوان: | Protocol parameter extraction and centralization framework for comprehensive and in-depth CT protocol review and management. |
|---|---|
| المؤلفون: | LaBella A; Department of Radiology, Stony Brook University, Stony Brook, New York, USA., Zhang D; Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA. |
| المصدر: | Journal of applied clinical medical physics [J Appl Clin Med Phys] 2024 Apr; Vol. 25 (4), pp. e14316. Date of Electronic Publication: 2024 Mar 11. |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Wiley on behalf of American Association of Physicists in Medicine Country of Publication: United States NLM ID: 101089176 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1526-9914 (Electronic) Linking ISSN: 15269914 NLM ISO Abbreviation: J Appl Clin Med Phys Subsets: MEDLINE |
| أسماء مطبوعة: | Publication: 2017- : Malden, MA : Wiley on behalf of American Association of Physicists in Medicine Original Publication: Reston, VA : American College of Medical Physics, c2000- |
| مواضيع طبية MeSH: | Tomography, X-Ray Computed*/methods , Radiology*, Humans ; Tomography Scanners, X-Ray Computed |
| مستخلص: | CT protocol management is an arduous task that requires expertise from a variety of radiology professionals, including technologists, radiologists, radiology IT professionals, and medical physicists. Each CT vendor has unique, proprietary protocol file structures, some of which may vary by scanner model, making it difficult to develop a universal framework for distilling technical parameters to a human-readable file format. An ideal solution for CT protocol management is to minimize the work required for parameter extraction by introducing a data format into the workflow that is universal to all CT scanners. In this paper, we report a framework for CT protocol management that converts raw protocol files to an intermediary format before outputting them in a human-readable format for a variety of practical clinical applications, including routine protocol review, protocol version tracking, and cross-protocol comparisons. The framework was developed in Python 3. Technical parameters of interest were determined via collaborative effort between medical physicists and lead technologists. Protocol files were extracted and analyzed from a variety of scanners across our hospital-wide CT fleet, including various systems from Siemens and GE. Protocols were subcategorized based on relevant technical parameters into regular, dual-energy, and cardiac CT protocols. Backend code for technical parameter extraction from raw protocol files to a JavaScript Object Notation (JSON) format was performed on a per-system basis. Conversion from JSON to a readable output format (MS Excel) was performed identically for all scanners using the universal framework developed and presented in this work. Example results for Siemens and GE scanners are shown, including side-by-side comparisons for protocols with similar clinical indications. In conclusion, our CT protocol management framework may be deployed on any CT system to improve clinical efficiency in protocol review and upkeep. (© 2024 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals LLC on behalf of American Association of Physicists in Medicine.) |
| References: | Comput Methods Programs Biomed. 2011 Mar;101(3):324-9. (PMID: 21316117) Eur J Radiol. 2014 Sep;83(9):1645-54. (PMID: 25037931) Radiology. 2017 Jun;283(3):837-844. (PMID: 27831831) J Am Coll Radiol. 2011 Apr;8(4):288-91. (PMID: 21458770) Eur Radiol. 2013 Jun;23(6):1632-42. (PMID: 23322411) Radiographics. 2012 May-Jun;32(3):913-27. (PMID: 22403116) J Am Coll Radiol. 2018 Oct;15(10):1448-1449. (PMID: 29748080) Eur J Radiol. 2020 Oct;131:109261. (PMID: 32937253) Yearb Med Inform. 2018 Aug;27(1):129-139. (PMID: 30157516) Pediatr Radiol. 2014 Oct;44 Suppl 3:519-24. (PMID: 25304715) Med Phys. 2018 Jul 10;:. (PMID: 29992598) J Appl Clin Med Phys. 2024 Apr;25(4):e14316. (PMID: 38462952) J Am Coll Radiol. 2014 Mar;11(3):267-70. (PMID: 24589402) J Appl Clin Med Phys. 2016 Sep 08;17(5):523-533. (PMID: 27685112) J Appl Clin Med Phys. 2013 Sep 06;14(5):3-12. (PMID: 24036879) J Am Coll Radiol. 2014 Mar;11(3):285-91. (PMID: 24589404) Radiographics. 2006 Nov-Dec;26(6):1595-7. (PMID: 17102038) J Digit Imaging. 2021 Aug;34(4):1005-1013. (PMID: 34405297) Radiol Manage. 2015 Nov-Dec;37(6):25-9; quiz 30-1. (PMID: 26710573) J Am Coll Radiol. 2015 Mar;12(3):267-72. (PMID: 25577405) J Am Coll Radiol. 2016 Jul;13(7):822-4. (PMID: 26810636) J Am Coll Radiol. 2014 Mar;11(3):271-278. (PMID: 24589403) J Digit Imaging. 2013 Feb;26(1):38-52. (PMID: 22992866) Phys Med Biol. 2015 Nov 7;60(21):8381-97. (PMID: 26459751) Phys Med. 2008 Jun;24(2):71-9. (PMID: 18331808) J Appl Clin Med Phys. 2015 Mar 08;16(2):5023. (PMID: 26103176) Radiographics. 2011 Mar-Apr;31(2):603-16. (PMID: 21257928) J Digit Imaging. 2017 Feb;30(1):11-16. (PMID: 27448401) J Appl Clin Med Phys. 2015 Jul 08;16(4):228–243. (PMID: 26219005) Radiographics. 2017 Jul-Aug;37(4):1099-1110. (PMID: 28696857) Radiology. 2022 Apr;303(1):130-138. (PMID: 34904876) J Am Coll Radiol. 2017 Feb;14(2):224-230. (PMID: 27927592) Radiographics. 2011 May-Jun;31(3):881-7. (PMID: 21357413) |
| فهرسة مساهمة: | Keywords: CT; protocol management; protocol review |
| تواريخ الأحداث: | Date Created: 20240311 Date Completed: 20240411 Latest Revision: 20240429 |
| رمز التحديث: | 20240430 |
| مُعرف محوري في PubMed: | PMC11005989 |
| DOI: | 10.1002/acm2.14316 |
| PMID: | 38462952 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 1526-9914 |
|---|---|
| DOI: | 10.1002/acm2.14316 |