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AAPM task group report 305: Guidance for standardization of vendor‐neutral reject analysis in radiography

Reject rate analysis is considered an integral part of a diagnostic radiography quality control (QC) program. A rejected image is a patient radiograph that was not presented to a radiologist for diagnosis and that contributes unnecessary radiation dose to the patient. Reject rates that are either to...

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Autores principales: Little, Kevin, Reiser, Ingrid, Apgar, Bruce, Dalal, Poonam, Dave, Jaydev, Fisher, Ryan, Hulme, Katie, Jafari, Mary Ellen, Marshall, Emily, Meyer, Stephen, Moore, Quentin, Murphy, Nicole, Nishino, Thomas, Nye, Katelyn, O'Donnell, Kevin, Sabol, John, Sanchez, Adrian, Sensakovic, William, Tarbox, Lawrence, Uzenoff, Robert, Walz‐Flannigan, Alisa, Willis, Charles, Zhang, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10161059/
https://www.ncbi.nlm.nih.gov/pubmed/36995917
http://dx.doi.org/10.1002/acm2.13938
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author Little, Kevin
Reiser, Ingrid
Apgar, Bruce
Dalal, Poonam
Dave, Jaydev
Fisher, Ryan
Hulme, Katie
Jafari, Mary Ellen
Marshall, Emily
Meyer, Stephen
Moore, Quentin
Murphy, Nicole
Nishino, Thomas
Nye, Katelyn
O'Donnell, Kevin
Sabol, John
Sanchez, Adrian
Sensakovic, William
Tarbox, Lawrence
Uzenoff, Robert
Walz‐Flannigan, Alisa
Willis, Charles
Zhang, Jie
author_facet Little, Kevin
Reiser, Ingrid
Apgar, Bruce
Dalal, Poonam
Dave, Jaydev
Fisher, Ryan
Hulme, Katie
Jafari, Mary Ellen
Marshall, Emily
Meyer, Stephen
Moore, Quentin
Murphy, Nicole
Nishino, Thomas
Nye, Katelyn
O'Donnell, Kevin
Sabol, John
Sanchez, Adrian
Sensakovic, William
Tarbox, Lawrence
Uzenoff, Robert
Walz‐Flannigan, Alisa
Willis, Charles
Zhang, Jie
author_sort Little, Kevin
collection PubMed
description Reject rate analysis is considered an integral part of a diagnostic radiography quality control (QC) program. A rejected image is a patient radiograph that was not presented to a radiologist for diagnosis and that contributes unnecessary radiation dose to the patient. Reject rates that are either too high or too low may suggest systemic department shortcomings in QC mechanisms. Due to the lack of standardization, reject data often cannot be easily compared between radiography systems from different vendors. The purpose of this report is to provide guidance to help standardize data elements that are required for comprehensive reject analysis and to propose data reporting and workflows to enable an effective and comprehensive reject rate monitoring program. Essential data elements, a proposed schema for classifying reject reasons, and workflow implementation options are recommended in this task group report.
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spelling pubmed-101610592023-05-06 AAPM task group report 305: Guidance for standardization of vendor‐neutral reject analysis in radiography Little, Kevin Reiser, Ingrid Apgar, Bruce Dalal, Poonam Dave, Jaydev Fisher, Ryan Hulme, Katie Jafari, Mary Ellen Marshall, Emily Meyer, Stephen Moore, Quentin Murphy, Nicole Nishino, Thomas Nye, Katelyn O'Donnell, Kevin Sabol, John Sanchez, Adrian Sensakovic, William Tarbox, Lawrence Uzenoff, Robert Walz‐Flannigan, Alisa Willis, Charles Zhang, Jie J Appl Clin Med Phys AAPM Reports & Documents Reject rate analysis is considered an integral part of a diagnostic radiography quality control (QC) program. A rejected image is a patient radiograph that was not presented to a radiologist for diagnosis and that contributes unnecessary radiation dose to the patient. Reject rates that are either too high or too low may suggest systemic department shortcomings in QC mechanisms. Due to the lack of standardization, reject data often cannot be easily compared between radiography systems from different vendors. The purpose of this report is to provide guidance to help standardize data elements that are required for comprehensive reject analysis and to propose data reporting and workflows to enable an effective and comprehensive reject rate monitoring program. Essential data elements, a proposed schema for classifying reject reasons, and workflow implementation options are recommended in this task group report. John Wiley and Sons Inc. 2023-03-30 /pmc/articles/PMC10161059/ /pubmed/36995917 http://dx.doi.org/10.1002/acm2.13938 Text en © 2023 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, LLC on behalf of The American Association of Physicists in Medicine. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle AAPM Reports & Documents
Little, Kevin
Reiser, Ingrid
Apgar, Bruce
Dalal, Poonam
Dave, Jaydev
Fisher, Ryan
Hulme, Katie
Jafari, Mary Ellen
Marshall, Emily
Meyer, Stephen
Moore, Quentin
Murphy, Nicole
Nishino, Thomas
Nye, Katelyn
O'Donnell, Kevin
Sabol, John
Sanchez, Adrian
Sensakovic, William
Tarbox, Lawrence
Uzenoff, Robert
Walz‐Flannigan, Alisa
Willis, Charles
Zhang, Jie
AAPM task group report 305: Guidance for standardization of vendor‐neutral reject analysis in radiography
title AAPM task group report 305: Guidance for standardization of vendor‐neutral reject analysis in radiography
title_full AAPM task group report 305: Guidance for standardization of vendor‐neutral reject analysis in radiography
title_fullStr AAPM task group report 305: Guidance for standardization of vendor‐neutral reject analysis in radiography
title_full_unstemmed AAPM task group report 305: Guidance for standardization of vendor‐neutral reject analysis in radiography
title_short AAPM task group report 305: Guidance for standardization of vendor‐neutral reject analysis in radiography
title_sort aapm task group report 305: guidance for standardization of vendor‐neutral reject analysis in radiography
topic AAPM Reports & Documents
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10161059/
https://www.ncbi.nlm.nih.gov/pubmed/36995917
http://dx.doi.org/10.1002/acm2.13938
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