Medical physics最新文献

{"title":"Cover","authors":"","doi":"10.1002/mp.17201","DOIUrl":"https://doi.org/10.1002/mp.17201","url":null,"abstract":"","PeriodicalId":18384,"journal":{"name":"Medical physics","volume":"52 3","pages":"C1"},"PeriodicalIF":3.2,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/mp.17201","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143554433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"List of Advertisers","authors":"","doi":"10.1002/mp.17202","DOIUrl":"https://doi.org/10.1002/mp.17202","url":null,"abstract":"","PeriodicalId":18384,"journal":{"name":"Medical physics","volume":"52 3","pages":"1969"},"PeriodicalIF":3.2,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/mp.17202","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143554663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cover","authors":"","doi":"10.1002/mp.17198","DOIUrl":"https://doi.org/10.1002/mp.17198","url":null,"abstract":"","PeriodicalId":18384,"journal":{"name":"Medical physics","volume":"52 2","pages":"C1"},"PeriodicalIF":3.2,"publicationDate":"2025-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/mp.17198","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143110443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"List of Advertisers","authors":"","doi":"10.1002/mp.17199","DOIUrl":"https://doi.org/10.1002/mp.17199","url":null,"abstract":"","PeriodicalId":18384,"journal":{"name":"Medical physics","volume":"52 2","pages":"1350"},"PeriodicalIF":3.2,"publicationDate":"2025-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/mp.17199","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143110425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AAPM Task Group Report 274: Fluence rate dosimetry for photodynamic therapy (PDT)","authors":"Timothy C. Zhu,&nbsp;Brian W. Pogue,&nbsp;Andreea Dimofte,&nbsp;Jarod C. Finlay,&nbsp;Lothar Lilge,&nbsp;Ulas Sunar,&nbsp;Charles B. Simone II,&nbsp;Robert L. P. van Veen","doi":"10.1002/mp.17613","DOIUrl":"10.1002/mp.17613","url":null,"abstract":"<p>Photodynamic therapy (PDT) is a treatment modality clinically approved for several oncologic indications, including esophageal and endobronchial cancers, precancerous conditions including Barrett's esophagus and actinic keratosis, and benign conditions like age-related macular degeneration. While it is currently clinically underused, PDT is an area of significant research interest. Because PDT relies on the absorption of light energy by intrinsic or administered absorbers, the dosimetric quantity of interest is the absorbed energy per unit mass of tissue, proportional to the fluence rate of light in tissue. It has been demonstrated that the fluence rate at the tissue surface may differ significantly from the incident irradiance of light because of multiple scattering and absorption, both of which may vary among patients and tissue types. This report will review the current state-of-the-art fluence rate dosimetry technology. It will describe the two types of detectors currently available for fluence rate measurement, scattering-tip and fluorescence-based detectors, and review their principles of operation. The report will recommend strategies to establish calibration and quality assurance procedures for clinical fluence rate dosimetry equipment, and it will establish guidelines for clinical implementation of fluence rate dosimetry.</p>","PeriodicalId":18384,"journal":{"name":"Medical physics","volume":"52 3","pages":"1354-1371"},"PeriodicalIF":3.2,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/mp.17613","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143018949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing the deliverability of binary collimation-based SRS treatment for multiple metastases with multiple prescriptions","authors":"Eva Lee,&nbsp;Christopher G. Thomas,&nbsp;Alasdair Syme,&nbsp;R. Lee MacDonald","doi":"10.1002/mp.17597","DOIUrl":"10.1002/mp.17597","url":null,"abstract":"<p>intra-arc binary collimation (iABC) is a novel treatment technique in which dynamic conformal arcs are periodically interrupted with binary collimation. It has demonstrated its utility through planning studies for the treatment of multiple metastases. However, the binary collimation approach is idealized in the planning system, while the treatment deliveries must adhere to the physical limitations of the mechanical systems involved [e.g., multi-leaf collimation (MLC) leaf speed]. This work focuses on optimizing the delivery of the binary collimation-based stereotactic radiosurgery/radiotherapy (SRS/SRT) plans on a Varian TrueBeam accelerator, considering both dosimetric fidelity and treatment efficiency as variables. A transition window (TW) was defined as the fraction of a control point (CP) during which the requested MLC motion must be completed. The width of TWs was varied between 0% (or step-and-shoot which represents the idealized dose distribution), 20%, 40%, 60%, 80%, and 100%. A variable TW approach was also studied. Delivery accuracy was quantified with gamma analysis (gamma criteria 5%/2mm) on a PTW Octavius detector. The total beam-on-time was manually recorded. Smaller TWs were associated with more accurate dose deliveries and longer treatment delivery times. The variable TW method was found to be an effective compromise, achieving an average gamma pass rate of 98% and an average delivery time of 9 min.</p>","PeriodicalId":18384,"journal":{"name":"Medical physics","volume":"52 3","pages":"1430-1435"},"PeriodicalIF":3.2,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142960788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"List of Advertisers","authors":"","doi":"10.1002/mp.17196","DOIUrl":"https://doi.org/10.1002/mp.17196","url":null,"abstract":"","PeriodicalId":18384,"journal":{"name":"Medical physics","volume":"52 1","pages":"717"},"PeriodicalIF":3.2,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/mp.17196","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143112015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Erratum: “A multiple x-ray-source array (MXA) system with a planar two-dimensional source distribution for digital breast tomosynthesis”","authors":"","doi":"10.1002/mp.17538","DOIUrl":"10.1002/mp.17538","url":null,"abstract":"<p>This article adds inadvertently omitted conflict of interest disclosures.</p><p>Alejandro Sisniega¹, Andrew M. Hernandez², Shadi A. Shakeri², Elizabeth A. Morris², John M. Boone^2,3, Jeffrey H. Siewerdsen⁴, Paul R. Schwoebel⁵</p><p>¹Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, USA</p><p>²Department of Radiology, University of California Davis, Davis, California, USA</p><p>³Department of Biomedical Engineering, University of California Davis, Davis, California, USA</p><p>⁴Department of Imaging Physics, University of Texas MD Anderson Cancer Center, Hoston, Texas, USA</p><p>⁵Department of Physics, University of New Mexico, Albuquerque, New Mexico, USA</p><p>First published October 2024, https://doi.org/10.1002/mp.17452</p><p>Authors J.M.B. and P.R.S. disclose that they are inventors on two licensed patents (US 11,123,027 and 11,534,118) on multiple x-ray source arrays. Author J.M.B. discloses that in his capacity as Editor-in-Chief of Medical Physics, he had no role in the review or acceptance process with this paper.</p>","PeriodicalId":18384,"journal":{"name":"Medical physics","volume":"52 1","pages":"716"},"PeriodicalIF":3.2,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/mp.17538","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142928605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cover","authors":"","doi":"10.1002/mp.17195","DOIUrl":"https://doi.org/10.1002/mp.17195","url":null,"abstract":"","PeriodicalId":18384,"journal":{"name":"Medical physics","volume":"52 1","pages":"C1"},"PeriodicalIF":3.2,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/mp.17195","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143112089","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Automatic calculation method for stenosis ratio based on dialysis access ultrasound image segmentation","authors":"Fengxin Shi,&nbsp;Dongming Zhu,&nbsp;Jia Zhi,&nbsp;Guocun Hou,&nbsp;Yaoyao Cui,&nbsp;Xiaocong Wang","doi":"10.1002/mp.17579","DOIUrl":"10.1002/mp.17579","url":null,"abstract":"&lt;div&gt;\u0000 \u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Background&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Dialysis Access (DA) stenosis impacts hemodialysis efficiency and patient health, necessitating exams for early lesion detection. Ultrasound is widely used due to its non-invasive, cost-effective nature. Assessing all patients in large hemodialysis facilities strains resources and relies on operator expertise. Furthermore, it heavily relies on the experience and expertise of the operator. Therefore, it is essential to explore methods for the automatic analysis of DA ultrasound images to accurately calculate the stenosis ratios, thereby enhancing both diagnostic accuracy and treatment efficiency.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Purpose&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;This study is aimed at employing image segmentation networks to conduct precise segmentation of the ultrasound images of DA lumens and automatically classify the types of stenosis. The segmentation outcomes are processed by means of morphological processing techniques for the automatic calculation of the DA stenosis ratio, thus enhancing the daily diagnostic efficiency of physicians and providing a substantial quantitative foundation for clinical decision-making.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Methods&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Firstly, our study introduces a deep neural network-based approach for vascular lumen segmentation and classification, termed Vessel Lumen Segmentation and Classification-Net (VLSC-Net), aimed at the precise segmentation of the DA lumen in ultrasound images. We conducted comparative analyses of our network against U-Net, TransUNet, MultiResUnet, and ResUNet using metrics such as mean Intersection over Union (mIoU), Dice score, Accuracy, Hausdorff Distance (HD), and Average Symmetric Surface Distance (ASSD). A five-fold cross-validation was performed on a dataset comprising 1710 images for both comparison experiments and ablation studies; specifically, the training set included 1368 images while the test set contained 342 images. The significance of observed differences was assessed using the Mann-Whitney &lt;i&gt;U&lt;/i&gt;-test. To prevent the increase in the chance of making a Type I error (false positive) that occurs when many simultaneous tests are being conducted, we used the Bonferroni correction to address the problem of multiple comparisons. Since we did four groups of comparisons, the significance level (&lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mi&gt;α&lt;/mi&gt;\u0000 &lt;annotation&gt;$alpha$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt;) is adjusted by dividing it by 4. Secondly, we utilized morphological processing alongside feature extraction techniques to accurately delineate the edges of the lumen. This facilitated precise measurements of critical stenosis segment parameters. Finally, we au","PeriodicalId":18384,"journal":{"name":"Medical physics","volume":"52 3","pages":"1661-1678"},"PeriodicalIF":3.2,"publicationDate":"2024-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142901540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}