Dataset Information

Practical approach to prevent COVID-19 infection at breast cancer screening.

ABSTRACT:

Background

The novel coronavirus disease 2019 (COVID-19) undermines the benefits of cancer screening. To date, no study has identified specific infection control methods. We aimed to provide practical methods for COVID-19 risk reduction during breast cancer screening mammography (MMG) by examining an overview of potential contamination routes of aerosols and possible risks for patients and health care providers.

Methods

Computational fluid dynamics (CFD) simulations were conducted for airflow and aerosol dispersion in a 3D virtual model of a mobile MMG laboratory room. This model was constructed based on the actual mobile screening MMG bus 'Cosmos' in the Chiba Foundation for Health Promotion & Disease Prevention. Examiner and patient geometries were obtained by scanning an actual human using a 3D Scanner. Contamination of the room was evaluated by counting the numbers of suspended and deposited aerosols.

Results

We applied the CFD simulation model to the exhalation of small or large aerosols from a patient and examiner in the MMG laboratory. Only 14.5% and 54.5% of large and small aerosols, respectively, were discharged out of the room with two doors open. In contrast, the proportion of large and small aerosols discharged out of the room increased to 96.6% and 97.9%, respectively, with the addition of forced gentle wind by the blower fan. This simulation was verified by a mist aerosol experiment conducted in the mobile MMG laboratory.

Conclusion

Adding forced ventilation to a MMG laboratory with two doors open may enable risk reduction dramatically. This could be applied to other clinical situations.

SUBMITTER: Takada M

PROVIDER: S-EPMC8018689 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:ImportanceSeveral studies reported sharp decreases in screening mammography for breast cancer and low-dose computed tomographic screening for lung cancer in the early months of the COVID-19 pandemic, followed by a return to normal or near-normal levels in the summer of 2020.ObjectiveTo determine the observed vs expected mammography and low-dose computed tomographic scan rates from the beginning of the pandemic through April 2022.Design, setting, and participantsIn this retrospective cohort study assessing mammography and low-dose computed tomography rates from January 2017 through April 2022, data for January 2016 to February 2020 were used to generate expected rates for the period March 2020 to April 2022. The study included a 20% national sample of Medicare fee-for-service enrollees among women aged 50 to 74 years for mammography, and men and women aged 55 to 79 years for low-dose computed tomographic scan.Main outcomes and measuresReceipt of screening mammography or low-dose computed tomographic scan.ResultsThe yearly cohorts for the mammography rates included more than 1 600 000 women aged 50 to 74 years, and the cohorts for the low-dose computed tomographic scan rates included more than 3 700 000 men and women aged 55 to 79 years. From January 2017 through February 2020, monthly mammography rates were flat, whereas there was a monotonic increase in low-dose computed tomographic scan rates, from approximately 500 per million per month in early 2017 to 1100 per million per month by January 2020. Over the period from March 2020 to April 2022, there were episodic drops in both mammography and low-dose computed tomographic scan rates, coincident with increases in national COVID-19 infection rates. For the periods from March 2020 to February 2020 and March 2021 to February 2022, the observed low-dose computed tomographic scan rates were 24% (95% CI, 23%-24%) and 14% (95% CI, 13%-15%) below expected rates, whereas mammography rates were 17% (95% CI, 17%-18%) and 4% (95% CI, 4%-3%) below expected.Conclusions and relevanceIn this cohort study, the decreases in cancer screening during the early phases of the COVID-19 pandemic did not resolve after the initial pandemic surges. Successful interventions to improve screening rates should address pandemic-specific reasons for low screening participation.