The radiology workforce’s response to the COVID-19 pandemic in the Middle East, North Africa and India

Introduction This study aimed to investigate the response of the radiology workforce to the impact of the coronavirus disease 2019 (COVID-19) pandemic on professional practice in India and eight other Middle Eastern and North African countries. It further investigated the levels of fear and anxiety among this workforce during the pandemic. Methods A quantitative cross-sectional study was conducted using an online survey from 22 May-2 June 2020 among radiology workers employed during the COVID-19 pandemic. The survey collected information related to the following themes: (1) demographic characteristics, (2) the impact of COVID-19 on radiology practice, and (3) fear and (4) anxiety emanating from the global pandemic. Results We received 903 responses. Fifty-eight percent had completed training on infection control required for handling COVID-19 patients. A large proportion (79.5%) of the respondents strongly agreed or agreed that personal protective equipment (PPE) was adequately available at work during the pandemic. The respondents reported experiences of work-related stress (42.9%), high COVID-19 fear score (83.3%) and anxiety (10%) during the study period. Conclusion There was a perceived workload increase in general x-ray and Computed Tomography imaging procedures because they were the key modalities for the initial and follow-up investigations of COVID-19. However, there was adequate availability of PPE during the study period. Most radiology workers were afraid of being infected with the virus. Fear was predominant among workers younger than 30 years of age and also in temporary staff. Anxiety occurred completely independent of gender, age, experience, country, place of work, and work status. Implications for practice It is important to provide training and regular mental health support and evaluations for healthcare professionals, including radiology workers, during similar future pandemics

Considerations for environmental sustainability in clinical radiology and radiotherapy practice: A systematic literature review and recommendations for a greener practice

Introduction: Environmental sustainability (ES) in healthcare is an important current challenge in the wider context of reducing the environmental impacts of human activity. Identifying key routes to making clinical radiology and radiotherapy (CRR) practice more environmentally sustainable will provide a framework for delivering greener clinical services. This study sought to explore and integrate current evidence regarding ES in CRR departments, to provide a comprehensive guide for greener practice, education, and research. Methods: A systematic literature search and review of studies of diverse evidence including qualitative, quantitative, and mixed methods approach was completed across six databases. The Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines and the Quality Assessment Tool for Studies with Diverse Designs (QATSDD) was used to assess the included studies. A result-based convergent data synthesis approach was employed to integrate the study findings. Results: A total of 162 articles were identified. After applying a predefined exclusion criterion, fourteen articles were eligible. Three themes emerged as potentially important areas of CRR practice that contribute to environmental footprint: energy consumption and data storage practices; usage of clinical consumables and waste management practices; and CRR activities related to staff and patient travel. Conclusions: Key components of CRR practice that influence environmental impact were identified, which could serve as a framework for exploring greener practice interventions. Widening the scope of research, education and awareness is imperative to providing a holistic appreciation of the environmental burden of healthcare. Implications for practice: Encouraging eco-friendly travelling options, leveraging artificial Intelligence (AI) and CRR specific policies to optimise utilisation of resources such as energy and radiopharmaceuticals are recommended for a greener practice

Impact of Eye and Breast Shielding on Organ Doses During Cervical Spine Radiography: Design and Validation of MIRD Computational Phantom

Purpose: The study aimed to design and validate computational phantoms (MIRD) using the MCNPX code to assess the impact of shielding on organ doses. Method: To validate the optimized phantom, the obtained results were compared with experimental results. The validation of the optimized MIRD phantom was provided by using the results of a previous anthropomorphic phantom study. MIRD phantom was designed by considering the parameters used in the anthropomorphic phantom study. A test simulation was performed to compare the dose reduction percentages (%) between the experimental anthropomorphic phantom study and the MCNPX-MIRD phantom. The simulation was performed twice, with and without shielding materials, using the same number and locations of the detector. Results: The absorbed dose amounts were directly extracted from the required organ and tissue cell parts of output files. Dose reduction percentages between the simulation with shielding and simulation without shielding were compared. The highest dose reduction was noted in the thymus (95%) and breasts (88%). The obtained dose reduction percentages between the anthropomorphic phantom study and the MCNPX-MIRD phantom were highly consistent and correlated values with experimental anthropomorphic data. Both methods showed Relative Difference (%) ranges between 0.88 and 2.22. Moreover, the MCNPX-MIRD optimized phantom provides detailed dose analysis for target and non-target organs and can be used to assess the efficiency of shielding in radiological examination. Conclusion: Shielding breasts and eyes during cervical radiography reduced the radiation dose to many organs. The decision to not shield patients should be based on research evidence as this approach does not apply to all cases. Copyright © 2021 Elshami, Tekin, Issa, Abuzaid, Zakaly, Issa and Ene.The APC was supported by Dunarea de Jos University of Galati, Romania

Multiple Assessments on the Gamma-Ray Protection Properties of Niobium-Doped Borotellurite Glasses: A Wide Range Investigation Using Monte Carlo Simulations

In this study, the monotonic effect of Ta2O5 and ZrO2 in some selected borotellurite glasses was investigated in terms of their impact on gamma-ray-shielding competencies. Accordingly, three niobium-reinforced borotellurite glasses (S1: 75TeO2 + 15B2O3 + 10Nb2O5, S2: 75TeO2 + 15B2O3 + 9Nb2O5 + 1Ta2O5, and S3: 75TeO2 + 15B2O3 + 8Nb2O5 + 1Ta2O5 + 1ZrO2) were modelled in the general-purpose MCNPX Monte Carlo code. They have been defined as an attenuator sample between the point isotropic gamma-ray source and the detector in terms of determining their attenuation coefficients. To verify the MC results, attenuation coefficients were then compared with the Phy-X/PSD program data. Our findings clearly demonstrate that although some behavioral changes occurred in the shielding qualities, modest improvements occurred in the attenuation properties depending on the modifier variation and its magnitude. However, the replacement of 2% moles of Nb2O5 with 1% mole of Ta2O5 and 1% mole of ZrO2 provided significant improvements in both glass density and attenuation properties against gamma rays. Finally, the HVL values of the S3 sample were compared with some glass- and concrete-shielding materials and the S3 sample was reported for its outstanding properties. As a consequence of this investigation, it can be concluded that the indicated type of additive to be added to borotellurite glasses will provide some advantages, particularly when used in radiation fields, by increasing the shielding qualities moderately. © 2022 H. O. Tekin et al

Utilization of artificial intelligence approach for prediction of DLP values for abdominal CT scans: A high accuracy estimation for risk assessment

Purpose: This study aimed to evaluate Artificial Neural Network (ANN) modeling to estimate the significant dose length product (DLP) value during the abdominal CT examinations for quality assurance in a retrospective, cross-sectional study. Methods: The structure of the ANN model was designed considering various input parameters, namely patient weight, patient size, body mass index, mean CTDI volume, scanning length, kVp, mAs, exposure time per rotation, and pitch factor. The aforementioned examination details of 551 abdominal CT scans were used as retrospective data. Different types of learning algorithms such as Levenberg-Marquardt, Bayesian and Scaled-Conjugate Gradient were checked in terms of the accuracy of the training data. Results: The R-value representing the correlation coefficient for the real system and system output is given as 0.925, 0.785, and 0.854 for the Levenberg-Marquardt, Bayesian, and Scaled-Conjugate Gradient algorithms, respectively. The findings showed that the Levenberg-Marquardt algorithm comprehensively detects DLP values for abdominal CT examinations. It can be a helpful approach to simplify CT quality assurance. Conclusion: It can be concluded that outcomes of this novel artificial intelligence method can be used for high accuracy DLP estimations before the abdominal CT examinations, where the radiation-related risk factors are high or risk evaluation of multiple CT scans is needed for patients in terms of ALARA. Likewise, it can be concluded that artificial learning methods are powerful tools and can be used for different types of radiation-related risk assessments for quality assurance in diagnostic radiology. Copyright © 2022 Tekin, Almisned, Erguzel, Abuzaid, Elshami, Ene, Issa and Zakaly.The article processing charge was funded by “Dunarea de Jos” University of Galati, Romania

The integration of artificial intelligence in medical imaging practice: Perspectives of African radiographers

Introduction The current technological developments in medical imaging are centred largely on the increasing integration of artificial intelligence (AI) into all equipment modalities. This survey assessed the perspectives of African radiographers on the integration of AI in medical imaging in order to offer unique recommendations to support the training of the radiography workforce. Methods An exploratory cross-sectional online survey of radiographers working within Africa was conducted from March to August 2020. The survey obtained data about their demographics and perspectives on AI implementation and usage. Data obtained were analysed using both descriptive and inferential statistics. Results A total of 1020 valid responses were obtained. Majority of the respondents (n = 883,86.6%) were working in general X-ray departments. Of the respondents, 84.9% (n = 866) indicated that AI technology would improve radiography practice and quality assurance for efficient diagnosis and improved clinical care. Fear of job losses following the implementation of AI was a key concern of most radiographers (n = 625,61.3%). Conclusion Generally, radiographers were delighted about the integration of AI into medical imaging, however; there were concerns about job security and lack of knowledge. There is an urgent need for stakeholders in medical imaging infrastructure development and practices in Africa to start empowering radiographers through training programmes, funding, motivational support, and create clear roadmaps to guide the adoption and integration of AI in medical imaging in Africa. Implication for practice The current study offers unique suggestions and recommendations to support the training of the African radiography workforce and others in similar resource-limited settings to provide quality care using AI-integrated imaging modalities

Transmission factors, mechanical, and gamma ray attenuation properties of barium-phosphate-tungsten glasses: Incorporation impact of WO3

The purpose of this study is to conduct a thorough examination of the direct and indirect impacts of increasing the quantity of heavy WO3 on gamma-ray transmission, shielding and mechanical properties for some selected barium-phosphate-tungsten glasses. Accordingly, mechanical properties of barium-phosphate-tungsten oxides with chemical formula (50-x)P2O5-50BaO-xWO3 (x = 0.0(S1), 5.0(S2), 10(S3), and 15(S4)) mol% was evaluated using Makishima-Mackenzie model. Next, newly online Phy-X/PSD software and Monte Carlo code were used to examine the gamma radiation characteristics. Gamma-ray transmission factor (TF) values were calculated for S1, S2, S3 and, S4 glass samples for a range of well-known radioisotope energies such for 67Ga, 57Co-57, 111In-111, 133Ba, 201Tl, 99 mTc, 51Cr, 131I, 58Co, 137Cs, 60Co. The total packing density (Vt) was enhanced from 0.589 for S1 glass sample (free with WO3) to 0.605 for S4 glass sample (with highest WO3 =15 mol%). The total energy dissociation (Gt) of the investigated glasses was increased with increasing the WO3 content: from 51.7 (kJ/cm3) for S1 glasses to 52.45 (kJ/cm3) for S4 glasses. All mechanical moduli were improved with increasing the tungsten trioxide concentration in the studied glasses. Poisson's ratios were increased with increasing the WO3 concentration. The trend of linear (LAC) and mass attenuation (MAC) coefficients were followed as: (LAC, MAC) S1 < (LAC, MAC) S2 < (LAC, MAC) S3 < (LAC, MAC) S4. Half (HVL) and tenth (TVL) value layers have the trend as (HVL, TVL) S1 > (HVL, TVL) S2 > (HVL, TVL) S3 > (HVL, TVL) S4. The effective atomic number (Zeff) and electron density (Neff) have the same trend. The lowest transmission Factor (TF) values for all glass specimens were examined at a thickness of 3 cm. Furthermore, the S4 sample displayed the least transmission tendency across all glass thicknesses evaluated. © 2022 The AuthorsPrincess Nourah bint Abdul Rahman University Researchers Supporting Project Number (PNURSP2022R149)

Enhancement of Gamma-Ray Shielding Properties in Cobalt-Doped Heavy Metal Borate Glasses: The Role of Lanthanum Oxide Reinforcement

The direct influence of La3+ ions on the gamma-ray shielding properties of cobalt-doped heavy metal borate glasses with the chemical formula 0.3CoO-(80-x)B2O3-19.7PbO-xLa2O3: x = 0, 0.5, 1, 1.5, and 2 mol% was examined herein. Several significant radiation shielding parameters were evaluated. The glass density was increased from 3.11 to 3.36 g/cm3 with increasing La3+ ion content from 0 to 2 mol%. The S5 glass sample, which contained the highest concentration of La3+ ions (2 mol%), had the maximum linear (μ) and mass (μm) attenuation coefficients for all photon energies entering, while the S1 glass sample free of La3+ ions possessed the minimum values of μ and μm. Both the half value layer (T1/2) and tenth value layer (TVL) of all investigated glasses showed a sim-ilar trend of (T1/2, TVL)S1 > (T1/2, TVL)S2 > (T1/2, TVL)S3 > (T1/2, TVL)S4 > (T1/2, TVL)S5. Our results re-vealed that the S5 sample had the highest effective atomic number (Zeff) values over the whole range of gamma-ray energy. S5 had the lowest exposure (EBF) and energy absorption (EABF) build-up factor values across the whole photon energy and penetration depth range. Our findings give a strong indication of the S5 sample’s superior gamma-ray shielding characteristics due to the highest contribution of lanthanum oxide. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.Funding: The authors extend their appreciation to the Deanship of Scientific Research at King Kha-lid University for funding this work through the research group program under grant number R.G.P.1/1/42. The APC was covered by “Dunarea de Jos” University of Galati, Romania

Developed selenium dioxide-based ceramics for advanced shielding applications: Au2O3 impact on nuclear radiation attenuation

The current research article aims to study the radiation shielding competence of a newly developed PbO-B2O3-SeO2-Er2O3:Au2O3 glass ceramic. The concentrations of the constituent oxides were 40, 10, 49.5, and 0.5 mol % for PbO, B2O3, SeO2, and Er2O3, respectively. The studied ceramic specimens were denoted by EA0, EA25, EA50, EA75 and EA100, and their density values were 5.87, 5.92, 5.94, 6.09, and 6.10 g/cm3, respectively. The radiation shielding competence and photon buildup factors of the present ceramics were investigated under the Au2O3/SeO2 substitution with ratio up to 0.1 mol %. The obtained results reveal that the MAC values were reported with 0.233 cm2/g difference between the minimum and the maximum Au2O3 reinforced samples. The highest MAC values were reported for EA100 sample, which has the highest Au2O3 additive in its chemical structure. At 4 MeV photon energy, HVL values were reported as 3.2658 cm, 3.2352 cm, 3.2212 cm, 3.139 cm and 3.1309 cm for EA0, EA25, EA50, EA75 and EA100, respectively. Moreover, the highest values of EBF were observed for the EA100, and the lowest values of EBF were observed for EA0. Therefore, it can be concluded that the present ceramics possess high level shielding competence to use for various applications of gamma radiation. © 2021The authors extend their appreciation to the Deanship of Scientific Research at King Khalid University for the financial support through research groups program under grant number (R.G.P2/98/41)