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  1. Rabba JA, Suhaimi FM, Mat Jafri MZ, Jaafar HA, Osman ND
    Radiography (Lond), 2023 May;29(3):533-538.
    PMID: 36913788 DOI: 10.1016/j.radi.2023.02.028
    INTRODUCTION: The daily image quality assessment involves large datasets that consume a lot of time and effort. This study aims to evaluate a proposed automated calculator for image distortion analysis in 2-dimensional (2D) panoramic imaging mode for a dental cone beam computed tomography (CBCT) system in comparison with present manual calculations.

    METHODS: A ball phantom was scanned using panoramic mode of the Planmeca ProMax 3D Mid CBCT unit (Planmeca, Helsinki, Finland) with standard exposure settings used in clinical practice (60 kV, 2 mA, and maximum FOV). An automated calculator algorithm was developed in MATLAB platform. Two parameters associated with panoramic image distortion such as balls diameter and distance between middle and tenth balls were measured. These automated measurements were compared with manual measurement using the Planmeca Romexis and ImageJ software.

    RESULTS: The findings showed smaller deviation in distance difference measurements by proposed automated calculator (ranged 3.83 mm) as compared to manual measurements (ranged 5.00 for Romexis and 5.12 mm for ImageJ software). There was a significant difference (p 

  2. Mohamed A, Mat Sanusi NSA, Azman NS, Zailani NS, Jasmin NH, Che Isa IN
    Radiography (Lond), 2024 Jan;30(1):388-393.
    PMID: 38159357 DOI: 10.1016/j.radi.2023.12.006
    INTRODUCTION: Postgraduate education in medical imaging is an important platform that can support in preparing radiographers for the role extension and advancement in radiography. Thus, this study aims to identify the factors influencing final year radiography students' intention to pursue postgraduate education in medical imaging.

    METHODS: An online cross-sectional survey was conducted among final year students in medical imaging programs from six institutions in Malaysia. Purposive convenience sampling has been employed. Data collection was related to students' interest in postgraduate study and possible factors that may affect students' intention to pursue postgraduate education after study degree completion. The questionnaire was a combination of a Likert Scale and open-ended question.

    RESULTS: A total of 148 (female, n = 132 and male, n = 16) responses were included in the analysis. Among the participants, n = 93 (62.8 %) of students intended to pursue study. The highest choice of study was mixed mode (41.9 %) and cardiac imaging was the field of choice by the students (22.3 %). Five factors have been found to significantly correlate with the students' intention to pursue postgraduate study in medical imaging which were student attributes, being an academician, remuneration, finance, and social influences (p  0.05).

    CONCLUSION: Five out of seven factors tested were found to significantly influence students' decision to pursue postgraduate education in medical imaging. Effective strategies based on the influencing factors should be strategized to encourage more students to pursue postgraduate education in medical imaging.

    IMPLICATIONS FOR PRACTICE: Implementation of effective strategies based on the influencing factors will improve access to education among radiography students, ultimately enhancing future radiographers' capability and competency.

  3. Osman ND, Abdulkadir MK, Shuaib IL, Nasirudin RA
    Radiography (Lond), 2024 Jan;30(1):237-244.
    PMID: 38035439 DOI: 10.1016/j.radi.2023.11.012
    INTRODUCTION: The adoption of size-specific dose estimate (SSDE) in clinical practice is still limited owing to the tedious and complex manual measurement of individual patient size for the clinical calculation of SSDE. Thus, the automation of SSDE is imperative. This study aims to evaluate a predictive equation for the automated calculation of SSDE.

    METHODS: A user-friendly software was developed to accurately predict the individual size-specific dose estimation of paediatric patients undergoing computed tomography (CT) scans of the head, thorax, and abdomen. The software includes a calculation equation developed based on a novel SSDE prediction equation that used a population's pre-determined percentage difference between volume-weighted computed tomography dose index (CTDIvol) and SSDE with age. American Association of Physicists in Medicine (AAPM RPT 204) method (manual) and segmentation-based SSDE calculators (indoseCT and XXautocalc) were used to assess the proposed software predictions comparatively.

    RESULTS: The results of this study show that the automated equation-based calculation of SSDE and the manual and segmentation-based calculation of SSDE are in good agreement for patients. The differences between the automated equation-based calculation of SSDE and the manual and segmentation-based calculation are less than 3%.

    CONCLUSION: This study validated an accurate SSDE calculator that allows users to enter key input values and calculate SSDE.

    IMPLICATION FOR PRACTICE: The automated equation-based SSDE software (PESSD) seems a promising tool for estimating individualised CT doses during CT scans.

  4. Thibault T, Gurung M, Leuvrey C, Boos A, Ronot P, El Masoudi I, et al.
    Radiography (Lond), 2024 Jan;30(1):159-162.
    PMID: 38035427 DOI: 10.1016/j.radi.2023.10.013
    BACKGROUND: Lead protective gloves are widely used to attenuate scattered radiations during fluoroscopic-guided medical procedures, thereby reducing hand exposure to radiation.

    AIMS: To determine whether lead-containing gloves present a risk of metal leaching onto the operator's skin, particularly due to the presence of sweat.

    METHODS: Artificial sweat of varying acidity was introduced into two types of commercial gloves containing lead. The level of lead in the sweat was then assessed after different exposure times. Electron microscopy was used to observe the morphology of the glove layers.

    RESULTS: Lead was detected in artificial sweat during each contact test on two different types of gloves. The concentration of lead increased with the acidity of the sweat, and the contact time. Gloves with a protective lining transferred less lead into sweat, but it was still present at significant levels. (i.e. few milligrams of lead per glove after one hour contact).

    CONCLUSIONS: Fluoroscopy operators should be aware of the risk of leaching of lead ions when using lead gloves under intensive conditions, although the potential harmfulness of lead ions leached into the glove remains essentially unknown.

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