Journal of Medical Imaging and Radiation Sciences最新文献

{"title":"Diagnostic performance of radiomics in prediction of Ki-67 index status in non-small cell lung cancer: A systematic review and meta-analysis","authors":"","doi":"10.1016/j.jmir.2024.101746","DOIUrl":"10.1016/j.jmir.2024.101746","url":null,"abstract":"<div><h3>Background</h3><p>Lung cancer's high prevalence and invasiveness make it a major global health concern. The Ki-67 index, which indicates cellular proliferation, is crucial for assessing lung cancer aggressiveness. Radiomics, which extracts quantifiable features from medical images using algorithms, may provide insights into tumor behavior. This systematic review and meta-analysis evaluate the effectiveness of radiomics in predicting Ki-67 status in Non-Small Cell Lung Cancer (NSCLC) using CT scans.</p></div><div><h3>Methods and materials</h3><p>A comprehensive search was conducted in PubMed/MEDLINE, Embase, Scopus, and Web of Science databases from inception until April 19, 2024. Original studies discussing the performance of CT-based radiomics for predicting Ki-67 status in NSCLC cohorts were included. The quality assessment involved quality assessment of diagnostic accuracy studies (QUADAS-2), radiomics quality score (RQS) and METhodological RadiomICs Score (METRICS). Quantitative meta-analysis, using R, assessed pooled diagnostic odds ratio, sensitivity, and specificity in NSCLC cohorts.</p></div><div><h3>Results</h3><p>We identified 10 studies that met the inclusion criteria, involving 2279 participants, with 9 of these studies included in quantitative meta-analysis. The pooled sensitivity and specificity of radiomics-based models for predicting Ki-67 status in NSCLC were 0.783 (95 % CI: 0.732 - 0.827) and 0.796 (95 % CI: 0.707 - 0.864) in training cohorts, and 0.803 (95 % CI: 0.744 - 0.851) and 0.696 (95 % CI: 0.613 - 0.768) in validation cohorts. It was identified in subgroup analysis that utilizing ITK-SNAP as a segmentation software contributed to a significantly higher pooled sensitivity.</p></div><div><h3>Conclusion</h3><p>This meta-analysis indicates promising diagnostic accuracy of radiomics in predicting Ki-67 in NSCLC.</p></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142228542","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":"Letter to the Editor: A note on language and academic writing","authors":"","doi":"10.1016/j.jmir.2024.101761","DOIUrl":"10.1016/j.jmir.2024.101761","url":null,"abstract":"","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142173117","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":"Artificial intelligence and advanced MRI techniques: A comprehensive analysis of diffuse gliomas","authors":"","doi":"10.1016/j.jmir.2024.101736","DOIUrl":"10.1016/j.jmir.2024.101736","url":null,"abstract":"<div><h3>Introduction</h3><p>The complexity of diffuse gliomas relies on advanced imaging techniques like MRI to understand their heterogeneity. Utilizing the UCSF-PDGM dataset, this study harnesses MRI techniques, radiomics, and AI to analyze diffuse gliomas for optimizing patient outcomes.</p></div><div><h3>Methods</h3><p>The research utilized the dataset of 501 subjects with diffuse gliomas through a comprehensive MRI protocol. After performing intricate tumor segmentation, 82.800 radiomic features were extracted for each patient from nine segmentations across eight MRI sequences. These features informed neural network and XGBoost model training to predict patient outcomes and tumor grades, supplemented by SHAP analysis to pinpoint influential radiomic features.</p></div><div><h3>Results</h3><p>In our analysis of the UCSF-PDGM dataset, we observed a diverse range of WHO tumor grades and patient outcomes, discarding one corrupt MRI scan. Our segmentation method showed high accuracy when comparing automated and manual techniques. The neural network excelled in prediction of WHO tumor grades with an accuracy of 0.9500 for the necrotic tumor label. The SHAP-analysis highlighted the 3D First Order mean as one of the most influential radiomic features, with features like Original Shape Sphericity and Original Shape Elongation were notably prominent.</p></div><div><h3>Conclusion</h3><p>A study using the UCSF-PDGM dataset highlighted AI and radiomics' profound impact on neuroradiology by demonstrating reliable tumor segmentation and identifying key radiomic features, despite challenges in predicting patient survival. The research emphasizes both the potential of AI in this field and the need for broader datasets of diverse MRI sequences to enhance patient outcomes.</p></div><div><h3>Implication for practice</h3><p>The study underline the significant role of radiomics in improving the accuracy of tumor identification through radiomic features.</p></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142163111","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":"The journey of service-learning: Perspectives from medical imaging and therapeutic sciences students","authors":"","doi":"10.1016/j.jmir.2024.101757","DOIUrl":"10.1016/j.jmir.2024.101757","url":null,"abstract":"&lt;div&gt;&lt;h3&gt;Introduction&lt;/h3&gt;&lt;p&gt;South Africa (SA) is portrayed as a developing country facing many socio-economic challenges. Service-Learning (SL) is considered an integral part of work-integrated learning (WIL) whereby students are provided an opportunity to experience the real world of work by putting to practice the theory that they have been taught. In the context of this paper, SL is embedded in the undergraduate curriculum of medical imaging and therapeutic sciences (MITS) students in SA, in the form of a SL community project (SLCP). Similar projects permit students to engage with a variety of patient groups to better understand their future patients’ bio-psycho-social environments for improved person-centred care practices. Although publications pertaining to students’ lived experience of SL are available, no study has yet been conducted with MITS students and their experience of SL. The authors, therefore, aimed to explore the experience of MITS students in SA who successfully completed a SLCP.&lt;/p&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Methods&lt;/h3&gt;&lt;p&gt;A qualitative research design was employed with the use of purposive sampling. The study population included all registered MITS students at the research site who completed a SLCP. This study was undertaken using a phased approach, phase A: a document analysis of reflective reports, phase B: one-on-one semi-structured interviews and phase C: the development of recommendations. Participation was voluntary and a reflexive thematic analysis technique was used to analyse the data.&lt;/p&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Results&lt;/h3&gt;&lt;p&gt;Three main themes were developed: 1) challenges and barriers, 2) positive lecturer attributes and 3) positive project outcomes. Although the participants shared some of their challenges while engaged in SL, several positive outcomes were also highlighted which encouraged them to want to give back to their communities. The support received from their lecturer was highly recognised. Recommendations for educators that were developed included having regular check-in sessions, finding methods to develop a trusting relationship with the students and the consideration of an earlier introduction of SL in the curriculum.&lt;/p&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Conclusion&lt;/h3&gt;&lt;p&gt;It is clear, from the findings of this study, that SL is able to bridge the gap between theoretical knowledge and practical application. Within the undergraduate curriculum of healthcare students, SL is considered a key instrument towards cultivating an enhanced sense of civic responsibility. Effective time management and finding sponsors were noted as critical for the successful completion of a SLCP. Personal- and professional growth was evident amongst the sampled participants and the importance of interdisciplinary learning was highlighted. Participants furthermore expressed their appreciation for the opportunity that SL provided them by being able to collaborate with, and learn from, other healthcare professionals.&lt;/p&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Introduction&lt;/h3&gt;&lt;p&gt;L'Afrique du ","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1939865424004880/pdfft?md5=d879a3327468065be4aa9a7db483e98f&pid=1-s2.0-S1939865424004880-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142163110","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":"Use of 3D printing technology for custom bolus fabrication in the management of palmar or plantar fibromatosis with radiotherapy: A retrospective case series","authors":"","doi":"10.1016/j.jmir.2024.101747","DOIUrl":"10.1016/j.jmir.2024.101747","url":null,"abstract":"<div><h3>Purpose</h3><p>Palmar or plantar fibromatosis is a benign fibroproliferative disorder affecting the fascia of the hands or feet. Management involves surgery, typically reserved for cases where progression limits function. Retrospective series demonstrate that radiation therapy (RT) can stabilize the disease course in many patients and improve symptoms in some cases. RT techniques vary between the use of electrons and superficial or orthovoltage photons and often require lead cutouts or custom boluses. We present a new approach demonstrating the implementation and effectiveness of three-dimensional (3D)-printed bolus material in patients receiving RT for fibromatosis.</p></div><div><h3>Materials and methods</h3><p>A total of 3 patients, one with plantar and two with palmar fibromatosis, were treated with radiation using 3D-printed boluses over the past year. Bolus's design was based on computed tomography (CT) imaging data. Palmar patients were treated with a single en-face electron field, with a two-part accessory as a bolus and an immobilization device encasing the hand. The plantar case required 6MV photons delivered with a Volumetric Modulated Arc Therapy (VMAT) technique to cover the deeper target volume adequately. Dose and fractionation were based on guidelines from the Royal College of Radiologists in the United Kingdom. CT was used to assess printed shape and density accuracy.</p></div><div><h3>Results</h3><p>The mean deviations in shape between the printed bolus pieces and their designs were all less than 0.4 mm. The differences in mean Hounsefield units (HU) between the printed boluses and their expected values were between 7 and 44 HU. No significant issues were encountered when applying the bolus to patients. The thermoluminescent dosimeters (TLD) used demonstrated dose accuracy to within TLD precision (5 %).</p></div><div><h3>Conclusions</h3><p>3D printing bolus technology represents a novel approach to treating fibromatosis with radiation. It offers superior dosimetry through the reduction of air gaps and by permitting custom bolus thickness. Also, it simplifies clinical set-up by acting as an immobilization device and a visual aid for daily field placement.</p></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142147209","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":"Introducing article numbering to Journal of Medical Imaging and Radiation Sciences","authors":"","doi":"10.1016/S1939-8654(24)00486-7","DOIUrl":"10.1016/S1939-8654(24)00486-7","url":null,"abstract":"","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1939865424004867/pdfft?md5=bc5734a2813b865e241cc21f0c4762e6&pid=1-s2.0-S1939865424004867-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142122754","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":"The role of families in radiological investigations for suspected physical abuse: Why is it important?","authors":"","doi":"10.1016/j.jmir.2024.101748","DOIUrl":"10.1016/j.jmir.2024.101748","url":null,"abstract":"","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142097883","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":"Subscription","authors":"","doi":"10.1016/S1939-8654(24)00483-1","DOIUrl":"10.1016/S1939-8654(24)00483-1","url":null,"abstract":"","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142122753","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":"Working interprofessionally – Editor's message","authors":"","doi":"10.1016/j.jmir.2024.05.002","DOIUrl":"10.1016/j.jmir.2024.05.002","url":null,"abstract":"","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142122757","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":"Interprofessional practice – Editor's message","authors":"","doi":"10.1016/j.jmir.2024.05.001","DOIUrl":"10.1016/j.jmir.2024.05.001","url":null,"abstract":"","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142122758","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}