Journal of Medical Imaging and Radiation Sciences最新文献

{"title":"Patient-centered care measures through the eyes of South African Radiographers and patients: A survey approach","authors":"","doi":"10.1016/j.jmir.2024.101725","DOIUrl":"10.1016/j.jmir.2024.101725","url":null,"abstract":"<div><h3>Background</h3><p>Worldwide there has been a shift in the ideology within healthcare systems that focuses on ‘people’ rather than the ‘patients’. A patient should not only be perceived by their condition but rather viewed holistically as a person. Within a South African (SA) context, the constitution has been amended to state that all South African citizens have the right to healthcare that is caring, free from harm, and effective. Hence, it can be rationalized that patient-centered care (PCC) is a necessary and vital approach in South African healthcare as well. A study conducted by Hyde and Hardy in the United Kingdom (UK) explored measures of PCC from radiography patients, radiographers, radiography managers, radiography educators, and radiography students' perspectives. This study was duplicated to define informed measures of PCC from a South African perspective. Therefore, this study aimed to gain perspectives on PCC measures in diagnostic radiography within a sample of the South African community. This paper focuses on the perspectives of the clinical radiographer and patient respondents.</p></div><div><h3>Method</h3><p>This study was conducted using a quantitative approach with the use of an online survey. The Qualtrics software was utilized to design the survey. The survey consisted of three PCC themes; use of technology, comfort and emotional support, and control over the environment. Recruitment of the subgroups was via advertisement in social media, email networks, and word of mouth.</p></div><div><h3>Results</h3><p>There were 28 radiographer responses and 14 patient responses. The data were analyzed using SPSS software version 28. Patient care while explaining the use of technology in radiography, received positive responses from both respondent groups. Patient care measures that explored comfort and emotional support received varied responses from patients and radiographers. Important PCC concepts, such as asking the patient about their care needs and health problems, were lacking. Patients indicated that radiographers do not include their family members in the discussion of the care needs even though family involvement is a PCC element.</p></div><div><h3>Conclusion</h3><p>The perceptions of PCC measures differed between the two groups which indicated that there are still some gaps in clinical practice. Patient involvement in their care and individualized care should be prioritized. There is a need for family involvement during radiography procedures to be better highlighted within clinical practice. It is also recommended that more importance be placed on PCC during undergraduate training. While service delivery is important, radiographers must not disregard their PCC responsibilities towards the patient.</p></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1939865424004569/pdfft?md5=8875d218210af879eae94dcf29389179&pid=1-s2.0-S1939865424004569-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141877052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Experience with patient-specific quality assurance of dosimetrist-led online adaptive prostate SBRT","authors":"","doi":"10.1016/j.jmir.2024.101719","DOIUrl":"10.1016/j.jmir.2024.101719","url":null,"abstract":"<div><h3>Introduction</h3><p>The aim of this study was to assess the results of the local pre-treatment verifications of online adaptive prostate SBRT plans performed by dosimetrists</p></div><div><h3>Methods and Materials</h3><p>Prostate SBRT treatments are planned in our department using an online adaptive method developed and validated by our group. The adaptive plans were computed on the daily CBCT scan using the Acuros XB v. 16.1 algorithm of the Varian Eclipse treatment planning system. Adaptive plans consisted of a single VMAT with 6 MV flattening-filter-free (FFF) energy performed on a Varian TrueBeam linac. Pre-treatment verification of the adaptive “plan-of-the-day” (POD) created in each treatment session was performed using the Mobius 3D v. 3.1 secondary dose calculation program (M3D). Commissioning of M3D included the tuning of the dosimetric leaf gap correction (DLGc) parameter. Generic and specific DLGc values were then derived using a set of plans for typical sites (prostate, head and neck, brain, lung and bone palliative) and another set were determined for specific online SBRT PODs (gDLGc and sDLGc, respectively). The first 50 prostate patients treated with the PACE-B schedule (5 × 7.25 Gy) were included, i.e., 250 adaptive SBRT PODs were collected in this study. For each online adaptive POD, a global 3D gamma comparison between the Eclipse 3D dose and the M3D dose in the patient CBCT was performed. Gamma passing rates (GPRs) for the whole external patient contour (Body) and the PTV were recorded, using the 5 % global /3 mm criteria. The target mean dose and target coverage differences between the Eclipse and M3D doses were also analyzed (ΔDmean and ΔD90 %, respectively). The accuracy of M3D was assessed against PRIMO Monte Carlo software. Twenty-five online prostate SBRT PODs were randomly selected from the set of 250 adaptive plans and simulated with PRIMO.</p></div><div><h3>Results</h3><p>Values of -1 mm and -0.14 mm were found as optimal gDLGc and sDLGc, respectively. Over the 250 online adaptive PODs, excellent GPR values ∼ 100 % were obtained for the Body and PTV structures, regardless the type of DLGc used. The use of the sDLGc instead of the gDLGc provided better results for ΔDmean (0.1 % ± 0.5% vs. -1.9 ± 0.7 %) and ΔD90 % (-1.0 % ± 0.5 %. vs. -3.5 % ± 0.8 %). This issue was also observed when M3D calculations were compared to PRIMO simulations.</p></div><div><h3>Conclusions</h3><p>M3D can be effectively used for independent pre-treatment verifications of online adaptive prostate SBRT plans. The use of a specific DLGc value is advised for this SBRT online adaptive technique.</p></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141861950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Medical narrative: Finding my new “Normal” with Sjogren's Syndrome","authors":"","doi":"10.1016/j.jmir.2024.101731","DOIUrl":"10.1016/j.jmir.2024.101731","url":null,"abstract":"","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141857463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quo vadis radiography","authors":"","doi":"10.1016/j.jmir.2024.101446","DOIUrl":"10.1016/j.jmir.2024.101446","url":null,"abstract":"","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141790622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A multidisciplinary team and multiagency approach for AI implementation: A commentary for medical imaging and radiotherapy key stakeholders","authors":"","doi":"10.1016/j.jmir.2024.101717","DOIUrl":"10.1016/j.jmir.2024.101717","url":null,"abstract":"","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141790620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effectiveness of smartphone applications for magnetic resonance imaging learning among radiological technology students: An alternative tool for enhancing knowledge","authors":"","doi":"10.1016/j.jmir.2024.101727","DOIUrl":"10.1016/j.jmir.2024.101727","url":null,"abstract":"<div><h3>Background</h3><p>Magnetic resonance imaging (MRI) education is crucial in the undergraduate radiological technology curriculum. Traditional approaches, such as lectures and observation, are insufficient for enhancing student understanding. Educational tools dedicated to MRI learning are needed to improve students’ knowledge and comprehension.</p></div><div><h3>Objectives</h3><p>To develop an application for MRI learning via smartphones, and to assess students’ satisfaction with the application and its effectiveness as a self-learning tool for radiological technology students.</p></div><div><h3>Methods</h3><p>The MRI learning application was developed using the Thunkable platform, covering MRI theory, equipment, pulse sequences, parameters, MRI safety, and artifacts. Seventy-three undergraduate radiological technology students were recruited and divided into app-users (<em>n</em> = 37) and non-users (<em>n</em> = 36). Pre- and post-tests, comprising 20 multiple-choice questions, were created and utilized to assess the effectiveness of the application. Pre- and post-test scores were then analyzed and compared between the two groups using a student's <em>t</em>-test. Finally, user satisfaction with the MRI learning application was assessed using a questionnaire with a five-point Likert scale.</p></div><div><h3>Results</h3><p>The mean pre-test and post-test scores for the app-users group were 12.65 ± 3.24 and 13.95 ± 3.41, respectively, while those for the non-users group were 12.94 ± 2.99 and 13.94 ± 2.74, respectively. The mean post-test score was significantly increased after using the MRI learning application (<em>P</em> = 0.01). However, there was no significant difference in the mean scores of the pre- and post-tests between the two groups. All participants expressed a high level of satisfaction with the application (4.32 ± 0.11 points).</p></div><div><h3>Conclusion</h3><p>The developed smartphone application for MRI learning has the potential to enhance students’ knowledge. The survey results indicated a high level of satisfaction among users. Thus, the MRI learning application could serve as an alternative tool for radiological technology students seeking to deepen their understanding of MRI-related subjects.</p></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141790621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Coexist or resist? Impact of artificial intelligence on radiologic technology education","authors":"","doi":"10.1016/j.jmir.2024.101450","DOIUrl":"10.1016/j.jmir.2024.101450","url":null,"abstract":"","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141768375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bringing imaging to the people: Enhancing access and equity in healthcare through mobile imaging","authors":"","doi":"10.1016/j.jmir.2024.101715","DOIUrl":"10.1016/j.jmir.2024.101715","url":null,"abstract":"","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141763616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"To reject, or to accept? A study on radiographers’ perspectives on diagnostic radiographs","authors":"","doi":"10.1016/j.jmir.2024.101720","DOIUrl":"10.1016/j.jmir.2024.101720","url":null,"abstract":"<div><h3>Introduction</h3><p>The overall reject rate (RR) of our newly set up Radiology department was an average of 14%, higher than the recommended 8% target and 10% threshold set by the American Association of Physicists in Medicine (AAPM). An analysis done to identify potential causes of a high RR suggested that radiographers might have been rejecting images of diagnostic value. A lack of consistency in the definition of a diagnostic value image amongst radiographers may be a possible cause in the higher overall RR. This study aims to investigate potential discrepancies among radiographers in defining a diagnostic radiograph.</p></div><div><h3>Methods</h3><p>An online survey composed of an image bank with a questionnaire was created, participants grade each image as either accepted or rejected. Fleiss Kappa was used to determine the level of agreement between the radiographers in accepting or rejecting the images in the image bank.</p></div><div><h3>Results</h3><p>Twenty radiographers with varying years of experience participated in this study. There was fair agreement amongst the radiographers’ judgements, k=.277 (95% CI, .277 to .278), p &lt; .005. Individual kappa for the “Accept” and “Reject” categories were both 0.277. There is no significant difference in the agreement level across the junior (k=.278), intermediate (k=.371) and senior (k=.275) radiographers.</p></div><div><h3>Conclusion</h3><p>The result suggests that there is discrepancy in the radiographers’ definition of a diagnostic radiograph and this misalignment of radiographers’ perception might be one of the underlying causes of high RR.</p></div><div><h3>Implications for practice</h3><p>This study has provided the researchers with a better insight on the underlying cause of the department high RR. By calibrating the radiographers’ definition of a diagnostic radiograph, it will help realign the radiographer's agreement on when a radiograph should be rejected. This will reduce the overall RR and patient's overall dose. A lower RR translates to a more efficient turnaround time in General Radiography services, ensuring quality service is provided without further strain on our limited resources.</p></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141753681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A retrospective evaluation of inter-fraction motion in prostate cancer patients with involved nodes receiving prostate and pelvic ± para-aortic nodal irradiation","authors":"","doi":"10.1016/j.jmir.2024.101721","DOIUrl":"10.1016/j.jmir.2024.101721","url":null,"abstract":"<div><h3>Introduction</h3><p>The inter-fraction motion of pelvic ± para-aortic (PA) nodal volumes in prostate cancer patients with involved nodes is yet to be quantified and the optimal IGRT strategy for these patients is currently unknown.</p></div><div><h3>Methods</h3><p>A single-centre retrospective evaluation was performed investigating inter-fraction motion in the prostate and involved nodal volumes of patients receiving pelvic <strong>±</strong> PA nodal irradiation. Patients were selected for inclusion if they<strong>;</strong> were undergoing prostate + pelvic node +/- PA node radiation for prostate cancer with involved lymph nodes and had received daily online CBCT scans. The planning CT and subsequent CBCT images from each treatment fraction were selected for analysis.</p></div><div><h3>Results</h3><p>Out of 567 CBCTs, from 20 patients, there were no incidences where independent lymph node displacement was &gt;0.5 cm from planning volumes. Lymph node motion relative to prostate was &gt;0.5 cm on 15 occasions out of 567 scans (2.6%). Where the difference between prostate and lymph nodes was &gt;0.5 cm, this was always a result of the rectum causing variation in the prostate position, not a change in nodal position.</p></div><div><h3>Discussion</h3><p>These results suggests that there is limited independent displacement between the involved pelvic ± PA nodal volumes and bony anatomy. Therefore, bony anatomy could be used as a lymph node match surrogate for prostate patients receiving nodal irradiation for active disease. The results also suggest additional emphasis should be placed on bowel preparation in these patients to reduce the risk of geographical miss.</p></div><div><h3>Conclusion</h3><p>In conclusion, the results of this evaluation suggests that there is limited independent displacement between the involved pelvic ± PA nodal volumes and bony anatomy. This provides evidence to trials investigating the role of pelvic <strong>±</strong> PA nodal irradiation to ensure appropriate margins and IGRT strategies are used when investigating this further.</p></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141731866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}