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Reduced Chest Computed Tomography Scan Length for Patients Positive for Coronavirus Disease 2019: Dose Reduction and Impact on Diagnostic Utility.
Principi, Sara; O'Connor, Stacy; Frank, Luba; Schmidt, Taly Gilat.
  • O'Connor S; Radiology Department, Medical College of Wisconsin, Milwaukee, WI.
  • Frank L; Radiology Department, Medical College of Wisconsin, Milwaukee, WI.
J Comput Assist Tomogr ; 46(4): 576-583, 2022.
Статья в английский | MEDLINE | ID: covidwho-2152278
ABSTRACT

METHODS:

This study used the Personalized Rapid Estimation of Dose in CT (PREDICT) tool to estimate patient-specific organ doses from CT image data. The PREDICT is a research tool that combines a linear Boltzmann transport equation solver for radiation dose map generation with deep learning algorithms for organ contouring. Computed tomography images from 74 subjects in the Medical Imaging Data Resource Center-RSNA International COVID-19 Open Radiology Database data set (chest CT of adult patients positive for COVID-19), which included expert annotations including "infectious opacities," were analyzed. First, the full z-scan length of the CT image data set was evaluated. Next, the z-scan length was reduced from the left hemidiaphragm to the top of the aortic arch. Generic dose reduction based on dose length product (DLP) and patient-specific organ dose reductions were calculated. The percentage of infectious opacities excluded from the reduced z-scan length was used to quantify the effect on diagnostic utility.

RESULTS:

Generic dose reduction, based on DLP, was 69%. The organ dose reduction ranged from approximately equal to 18% (breasts) to approximately equal to 64% (bone surface and bone marrow). On average, 12.4% of the infectious opacities were not included in the reduced z-coverage, per patient, of which 5.1% were above the top of the arch and 7.5% below the left hemidiaphragm.

CONCLUSIONS:

Limiting z-scan length of chest CTs reduced radiation dose without significantly compromising diagnostic utility in COVID-19 patients. The PREDICT demonstrated that patient-specific organ dose reductions varied from generic dose reduction based on DLP.
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Полный текст: Имеется в наличии Коллекция: Международные базы данных база данных: MEDLINE Основная тема: Drug Tapering / COVID-19 Тип исследования: Экспериментальные исследования / Прогностическое исследование Пределы темы: Взрослые / Люди Язык: английский Журнал: J Comput Assist Tomogr Год: 2022 Тип: Статья

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Полный текст: Имеется в наличии Коллекция: Международные базы данных база данных: MEDLINE Основная тема: Drug Tapering / COVID-19 Тип исследования: Экспериментальные исследования / Прогностическое исследование Пределы темы: Взрослые / Люди Язык: английский Журнал: J Comput Assist Tomogr Год: 2022 Тип: Статья