Journal of Visual Communication in Medicine最新文献_第3页

Evaluating the 20-year evolution of photographic standards in plastic surgery: a comparative analysis. 评估整形外科摄影标准20年的演变：比较分析。

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Journal of Visual Communication in Medicine Pub Date : 2025-01-01 Epub Date: 2025-04-10 DOI: 10.1080/17453054.2025.2488873

Jeewon Chon, Vivian Li, Adam Gould, Irena Helenowski, Antoinette T Nguyen, Joseph Ogrodnik

{"title":"Evaluating the 20-year evolution of photographic standards in plastic surgery: a comparative analysis.","authors":"Jeewon Chon, Vivian Li, Adam Gould, Irena Helenowski, Antoinette T Nguyen, Joseph Ogrodnik","doi":"10.1080/17453054.2025.2488873","DOIUrl":"10.1080/17453054.2025.2488873","url":null,"abstract":"Standardised photographic documentation is essential in plastic surgery for clinical and academic use. ASPS guidelines outline strict standards, but advancements in technology, particularly smartphones, may have influenced adherence. This study evaluates adherence to photographic standards in breast and face photography from 2000 to 2020 in major plastic surgery journals. A total of 1,752 articles from three major plastic surgery journals in the years 2000 and 2020 were reviewed. Breast photographs were assessed based on patient positioning, arm positioning, background, clothing, and jewellery/watches, and framing, while face photographs included camera angle, patient positioning, background, clothing, makeup, hairdo, mimic, jewellery, and framing. Two independent reviewers scored adherence using a binary scale, with interrater reliability assessed via Cohen's kappa. Trends were analysed using least square means and paired t-tests (p < 0.05). Among 504 photographs, only 11.9% met all standards. Significant declines were observed in clothing (p < 0.001) and jewellery/watches (p < 0.001) for breast photography, and in photographic sectioning for face photography (p = 0.002). Improvements were noted in posing (p < 0.001), hairdo (p = 0.028), and framing for breast photography (p = 0.015). Adherence to photographic standards has declined in key areas, underscoring the need for reinforced training and technology-driven solutions to ensure professional documentation.","PeriodicalId":43868,"journal":{"name":"Journal of Visual Communication in Medicine","volume":" ","pages":"2-6"},"PeriodicalIF":1.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144064582","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}

引用次数: 0

Development of 3D training models for the identification and classification of colorectal polyps. 开发用于结肠直肠息肉识别和分类的3D训练模型。

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Journal of Visual Communication in Medicine Pub Date : 2024-10-01 Epub Date: 2025-04-09 DOI: 10.1080/17453054.2025.2485956

Anna Roberts, Paul O'Toole, Mark Roughley, Melissa Rankin

{"title":"Development of 3D training models for the identification and classification of colorectal polyps.","authors":"Anna Roberts, Paul O'Toole, Mark Roughley, Melissa Rankin","doi":"10.1080/17453054.2025.2485956","DOIUrl":"10.1080/17453054.2025.2485956","url":null,"abstract":"Colorectal cancers develop from pre-malignant polyps that can be removed during colonoscopy. Detection, assessment, and removal of polyps has a major role in bowel cancer prevention and is an important part of bowel cancer screening programmes. Trainee colonoscopists must acquire skills to recognise and classify colorectal polyps. Accurate classification is based on morphology, surface pit and capillary patterns. It is difficult to teach assessment skills because static polyp images are often of poor quality and cannot show all areas of interest. Based on anonymised, endoscopic reference images, 3D polyp models were created in ZBrush, demonstrating a variety of morphological forms. The models had detailed pit patterns to show the capillary structure, a key predictor of pathology. The models were subsequently uploaded to the online 3D repository and model viewer, Sketchfab, to create an interactive training resource for trainee colonoscopists. The digital models were evaluated by a panel of expert colonoscopists who scored them for realism and potential as aids for training. There was agreement that the digital polyp models would be useful for teaching. Polyp morphology was rated as realistic however representation of pit patterns received a mixed response, highlighting areas for further development.","PeriodicalId":43868,"journal":{"name":"Journal of Visual Communication in Medicine","volume":" ","pages":"119-135"},"PeriodicalIF":1.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143812662","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}

引用次数: 0

Correction. 修正。

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Journal of Visual Communication in Medicine Pub Date : 2024-10-01 Epub Date: 2025-06-13 DOI: 10.1080/17453054.2025.2516400

引用次数: 0

Evaluating image quality in surgical photography: a multivariable analysis of cameras and shooting conditions. 评价外科摄影的图像质量：相机和拍摄条件的多变量分析。

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Journal of Visual Communication in Medicine Pub Date : 2024-10-01 Epub Date: 2025-02-17 DOI: 10.1080/17453054.2025.2462060

Georgios Kourounis, Ali Ahmed Elmahmudi, Brian Thomson, Samuel J Tingle, Emily K Glover, Balaji Mahendran, Emily Thompson, Syed Hussain Abbas, Dhya Al-Leswas, Charlotte Brown, Mohamed Aly M El Shafei El Zawahry, Fanourios Georgiades, Stephen R Knight, Matta Kuzman, Ruth Owen, Emmanouil Psaltis, James Hunter, Hassan Ugail, Colin Wilson

{"title":"Evaluating image quality in surgical photography: a multivariable analysis of cameras and shooting conditions.","authors":"Georgios Kourounis, Ali Ahmed Elmahmudi, Brian Thomson, Samuel J Tingle, Emily K Glover, Balaji Mahendran, Emily Thompson, Syed Hussain Abbas, Dhya Al-Leswas, Charlotte Brown, Mohamed Aly M El Shafei El Zawahry, Fanourios Georgiades, Stephen R Knight, Matta Kuzman, Ruth Owen, Emmanouil Psaltis, James Hunter, Hassan Ugail, Colin Wilson","doi":"10.1080/17453054.2025.2462060","DOIUrl":"10.1080/17453054.2025.2462060","url":null,"abstract":"Introduction: Use of mobile devices with high-quality cameras has expanded medical photography. We investigate the impact of different devices and conditions on photograph quality in a surgical setting.Methods: Fourteen surgeons across six centres scored photograph quality of kidneys donated for transplantation. Images were captured using an iPhone, iPad, or DSLR camera on automatic modes under varying lighting conditions. In blinded A/B testing, surgeons selected the image perceived more clinically useful for remote organ quality assessment and rated each on a 5-point Likert scale. Quality was objectively analysed using two computer vision referenceless quality assessment tools (BRISQUE & NIMA).Results: Of 369 photographs, mobile device images were rated higher quality by surgeons (78.4%) compared to DSLR (9.4%, p < 0.001). Multilevel regression using BRISQUE showed higher quality for iPhones (β = -5.86, p < 0.001) and iPads (β = -3.90, p < 0.001) versus DSLR. Room lighting improved quality over direct overhead illumination with theatre lights (β = 17.87, p < 0.001). Inter-rater (Gwet AC = 0.78) and intra-rater (Cohen's κ = 0.86) agreements were high.Discussion: Smartphones can produce high quality photographs. These findings should reassure clinicians that smartphone devices do not compromise photograph quality and support their use in clinical practice and image analysis research.","PeriodicalId":43868,"journal":{"name":"Journal of Visual Communication in Medicine","volume":" ","pages":"109-118"},"PeriodicalIF":1.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143442292","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}

引用次数: 0

Celebrating Excellence in Medical Illustration: Highlights from the 2024 IMI Awards. 庆祝医学插图卓越：2024年IMI奖的亮点。

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Journal of Visual Communication in Medicine Pub Date : 2024-10-01 Epub Date: 2025-05-08 DOI: 10.1080/17453054.2025.2492636

Bethan Howlett

引用次数: 0

Raymond John Lunnon, CStJ, M.Phil, Hon.FRPS, Hon.FIMI, FBIIP. Raymond John Lunnon, CStJ， M.Phil，荣誉frps，荣誉fimi， FBIIP。

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Journal of Visual Communication in Medicine Pub Date : 2024-07-01 Epub Date: 2025-02-10 DOI: 10.1080/17453054.2025.2458963

Garry Swann

引用次数: 0

Artificial intelligence in medical photography and illustration: a tool but not a replacement. 医学摄影和插图中的人工智能：一种工具，但不是替代品。

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Journal of Visual Communication in Medicine Pub Date : 2024-07-01 Epub Date: 2025-03-04 DOI: 10.1080/17453054.2025.2473205

Timothy Zoltie

引用次数: 0

MSc medical art masters showcase 2024, University of Dundee. 2024年邓迪大学医学艺术硕士作品展。

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Journal of Visual Communication in Medicine Pub Date : 2024-07-01 Epub Date: 2025-01-29 DOI: 10.1080/17453054.2025.2456836

Caroline Erolin

引用次数: 0

A multidisciplinary approach: improving physician visual communication via clinical sketches. 多学科方法：通过临床草图改善医生的视觉交流。

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Journal of Visual Communication in Medicine Pub Date : 2024-07-01 Epub Date: 2025-02-14 DOI: 10.1080/17453054.2025.2458564

Neoreet Braha, Kayra Cengiz, Nancy Donohoo, Crystal Zhu, Brandon Oddo, Cassandra Lee, Noah Siegel, Tony Robinson, Emma Schmidt, Jonathan J Wisco

{"title":"A multidisciplinary approach: improving physician visual communication via clinical sketches.","authors":"Neoreet Braha, Kayra Cengiz, Nancy Donohoo, Crystal Zhu, Brandon Oddo, Cassandra Lee, Noah Siegel, Tony Robinson, Emma Schmidt, Jonathan J Wisco","doi":"10.1080/17453054.2025.2458564","DOIUrl":"10.1080/17453054.2025.2458564","url":null,"abstract":"Effective communication in healthcare can benefit from clear and engaging visual aids. Grounded in Cognitive Load Theory, Dual Coding Theory, and Visual Literacy Theory, our study investigates the impact of an instructional video designed to enhance physicians' visual communication skills through improved clinical sketches. By collaboration of medical and fine arts disciplines, a rubric was developed for evaluating clinical sketches based on artistic principles of layout, visual clarity, style, sequence and directionality, hierarchy and colour. An instructional video was created highlighting these principles along with clinical examples (Publicly available at: https://mymedia.bu.edu/media/t/1_wgpgpl84). Four physicians created clinical sketches before and after viewing the video. The study includes pre- and post-surveys and evaluations of the sketches by artists. Survey results demonstrated a statistically significant increase in aesthetic quality across multiple categories- layout, visual clarity, style, sequence and directionality - after physicians viewed the instructional video. Physicians reported increased motivation to incorporate clinical illustrations into their practice however outlined time constraints as a barrier. Our findings highlight the efficacy of the instructional video in enhancing physicians' ability to create informative clinical sketches. Future research should focus on integrating visual communication tools into clinics and medical education curricula to pursue patient-centred care.","PeriodicalId":43868,"journal":{"name":"Journal of Visual Communication in Medicine","volume":" ","pages":"103-107"},"PeriodicalIF":1.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143415702","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}

引用次数: 0

Testing a signal-processing image analysis technology in hospital on suspicious pigmented naevi referred for biopsy. 信号处理图像分析技术在医院对转诊活检的可疑色素痣的检测。

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Journal of Visual Communication in Medicine Pub Date : 2024-07-01 Epub Date: 2024-12-25 DOI: 10.1080/17453054.2024.2438635

Nigel P Burrows, Ed Rytina, Amanda J Lee, Nick Ager, Ross G Milligan, Bruce L J Murray, Peter S Freedman

{"title":"Testing a signal-processing image analysis technology in hospital on suspicious pigmented naevi referred for biopsy.","authors":"Nigel P Burrows, Ed Rytina, Amanda J Lee, Nick Ager, Ross G Milligan, Bruce L J Murray, Peter S Freedman","doi":"10.1080/17453054.2024.2438635","DOIUrl":"10.1080/17453054.2024.2438635","url":null,"abstract":"Four versions of the novel Moletest on-device signal-processing analysis software, delivered on a single-application iPadPro11, were evaluated in pigmented skin lesions of patients sent for biopsy comparing its results with the lesion histology. The primary objective was to demonstrate that the nomela® test provided at least 95 ± 2% sensitivity for not-melanoma. Proprietary software recognised the lesion perimeter, rejecting images with uncertain border, and performed analysis using non-scalar metrics of the image within the perimeter. From five algorithms any one reading outside the predefined melanoma range assigned the lesion to 'no evidence of melanoma' or otherwise to 'melanoma not excluded'. 1365 participants provided 1573 lesions. 1389 valid cases had a valid signal-processing test result and a valid histology report defined as 'not-melanoma' (n = 1205) or 'melanoma' (n = 184). Statistical analysis for the four versions were: sensitivity (ability of the signal-processing analysis to assign 'No evidence of melanoma' to a lesion with 'not-melanoma' histology) 8.6/48.4/76.9/52.1%; specificity (ability to assign 'Melanoma not excluded' to a lesion with 'melanoma' histology) 100/79.6/75.0/65.2%. The performance of the Moletest signal-processing analysis as a diagnostic support for rule-out of melanoma showed limited value in all four versions.","PeriodicalId":43868,"journal":{"name":"Journal of Visual Communication in Medicine","volume":" ","pages":"79-84"},"PeriodicalIF":1.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142886184","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}

引用次数: 0