How healthcare workers reacted to the different COVID-19 waves: An Italian survey.

INTRODUCTION: The COVID-19 pandemic had a huge impact on radiology departments all over the world, affecting both management and healthcare workers (HCWs). Therefore, it became challenging to guarantee high standards of diagnosis while keeping up with the workload. METHODS: The study was approved by the institutional review board. Its aim was to assess the impact of the COVID-19 pandemic over the radiology departments and HCWs through a survey. The questionnaire was available online from January to March 2022. Twelve areas of interest (sessions) were highlighted in the survey. RESULTS: The number of total responders was 1376 and 73.7% of participants worked in public healthcare facilities. Comparisons between participants working in public versus private healthcare facilities were carried out using chi-square tests and Fisher tests. Within public healthcare workers, 82% affirmed having operating instruction protocols regarding confirmed or suspected COVID-19 patient CT management (p< 0.001). Private healthcare facilities had fewer CT scanners available in general (p< 0.001); in fact, only 18% of them affirmed having two or more CT scanners, and did not have CT scanners dedicated to confirmed or suspected COVID-19 patients (p< 0.001). Finally, public facilities strongly reduced (by 88%) the number of examinations booked during the first wave, compared to private healthcare facilities (p< 0.001). CONCLUSION: This survey showed that public facilities appeared to be better prepared from an organizational point of view than private facilities. Rescheduling the examinations booked during the first COVID-19 wave was challenging and not always possible.

Different Lung Parenchyma Quantification Using Dissimilar Segmentation Software: A Multi-Center Study for COVID-19 Patients.

BACKGROUND: Chest Computed Tomography (CT) imaging has played a central role in the diagnosis of interstitial pneumonia in patients affected by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and can be used to obtain the extent of lung involvement in COVID-19 pneumonia patients either qualitatively, via visual inspection, or quantitatively, via AI-based software. This study aims to compare the qualitative/quantitative pathological lung extension data on COVID-19 patients. Secondly, the quantitative data obtained were compared to verify their concordance since they were derived from three different lung segmentation software. METHODS: This double-center study includes a total of 120 COVID-19 patients (60 from each center) with positive reverse-transcription polymerase chain reaction (RT-PCR) who underwent a chest CT scan from November 2020 to February 2021. CT scans were analyzed retrospectively and independently in each center. Specifically, CT images were examined manually by two different and experienced radiologists for each center, providing the qualitative extent score of lung involvement, whereas the quantitative analysis was performed by one trained radiographer for each center using three different software: 3DSlicer, CT Lung Density Analysis, and CT Pulmo 3D. RESULTS: The agreement between radiologists for visual estimation of pneumonia at CT can be defined as good (ICC 0.79, 95% CI 0.73-0.84). The statistical tests show that 3DSlicer overestimates the measures assessed; however, ICC index returns a value of 0.92 (CI 0.90-0.94), indicating excellent reliability within the three software employed. ICC was also performed between each single software and the median of the visual score provided by the radiologists. This statistical analysis underlines that the best agreement is between 3D Slicer "LungCTAnalyzer" and the median of the visual score (0.75 with a CI 0.67-82 and with a median value of 22% of disease extension for the software and 25% for the visual values). CONCLUSIONS: This study provides for the first time a direct comparison between the actual gold standard, which is represented by the qualitative information described by radiologists, and novel quantitative AI-based techniques, here represented by three different commonly used lung segmentation software, underlying the importance of these specific values that in the future could be implemented as consistent prognostic and clinical course parameters.

COVID-19 outbreak impact on health professionals: A survey on the Italian radiographer experience.

AIM: To evaluate the impact of the Phase 1 COVID-19 (C19) outbreak on Italian Radiographers. MATERIAL AND METHODS: COVID-19 has spread rapidly worldwide. Many patients underwent radiological examinations, leading to a high risk of infection within the radiology department's staff. Italy was the first-hit European country to face the COVID-19 outbreak and the impact on radiographers was huge. An online survey was disseminated to investigate the involvement and working environment of Italian radiographers during the first outbreak of COVID-19. RESULTS: Of the 840 responders, 65% were men. The majority of the responding Health-care Workers (HCW) was represented by radiographers (96%), from high-prevalence regions (82%; p<.05). Forty-five percent were involved in the activation of the protocol for the management of COVID-19 positive patients, without exhaustive indication for Plain Radiography and Computed Tomography (CT). Only 17% of hospitals counted on available guidelines for serious infections (p<0.05). Diagnostic examinations were mainly performed by a single radiographer (62%). Many professionals (69%) confirmed wearing all indispensable PPE in case of COVID-19 positive patients. CONCLUSION: The primary objective of management strategies should be to redact standardized policies for the safeguarding of patient's health and operator's safety. All front-line workers, including radiographers working in diagnostic services, should be involved in the decision-making process to generate wellness and awareness.