Physica Medica-European Journal of Medical Physics最新文献

{"title":"Stereotactic and fractionated stereotactic radiosurgery for single and multiple brain metastases: Results of multicenter planning studies","authors":"Parimal T. Patwe ,&nbsp;Sudesh S. Deshpande ,&nbsp;Gajanan R. Mahajan","doi":"10.1016/j.ejmp.2025.104950","DOIUrl":"10.1016/j.ejmp.2025.104950","url":null,"abstract":"<div><h3>Purpose</h3><div>Stereotactic and fractionated stereotactic radiosurgery (SRS/fSRS) utilization is growing in India, although planning studies are scarce. This study assessed clinical practices for SRS/fSRS treatment planning for brain metastases (BM) using ICRU-91 and explored the impact of planning tools.</div></div><div><h3>Methods &amp; materials</h3><div>Participants from 23 centers received two anonymized CT datasets with predrawn structures for single met (SM) and four BMs (MM) cases via email. Centers used local protocol to create plans. The plans were evaluated for target coverage, normal brain doses, and ICRU-91 dosimetric indices.</div></div><div><h3>Results</h3><div>Monaco TPS overestimated mean GTV (PTV) by 3.7 (4.2)% and 2.1 (2.0)% for SM and MM respectively. Some institutions had good conformity and target coverage, whereas others had high OAR doses despite inadequate PTV dose coverage. Conformity index (CI) ranged from 1.07 to 1.45 (SM) and 1.06 to 1.25 (MM), and homogeneity index (HI) ranged from 0.07 to 0.28 (SM) and 0.13 to 0.32 (MM). Significant variation in GI and dose prescription isodose line selection was observed among centers.</div></div><div><h3>Conclusions</h3><div>There was a significant heterogeneity in the planning parameters noted among different centers. The study emphasized the importance of established planning protocols and comprehensive training for staff involved in SRS/fSRS. Notably, plans with finer MLC width outperformed, yet wider MLC plans achieved ICRU-91 indices comparable to published literature. The importance of our study is underscored by the absence of a national framework for SRS planning in India.</div></div>","PeriodicalId":56092,"journal":{"name":"Physica Medica-European Journal of Medical Physics","volume":"132 ","pages":"Article 104950"},"PeriodicalIF":3.3,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143563626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An explainable and comprehensive BI-RADS assisted diagnosis pipeline for mammograms","authors":"Peirong Li ,&nbsp;Jing Zhong ,&nbsp;Hongye Chen ,&nbsp;Jinsheng Hong ,&nbsp;Huachang Li ,&nbsp;Xin Li ,&nbsp;Peng Shi","doi":"10.1016/j.ejmp.2025.104949","DOIUrl":"10.1016/j.ejmp.2025.104949","url":null,"abstract":"<div><h3>Background and Objective:</h3><div>The growing adoption of computer-aided diagnosis systems is transforming cancer diagnostics in mammography, but it still needs improvement in comprehensive diagnostics, early screening accuracy, and system explainability. To achieve these, we introduce an explainable pipeline designed to provide comprehensive diagnostic suggestions according to the Breast Imaging Reporting and Data System (BI-RADS) lexicon.</div></div><div><h3>Methods:</h3><div>The proposed pipeline employs a multi-task framework, with BI-RADS assessments as the main task, complemented by the classification of masses, calcifications, architectural distortions, and breast density. We develop the Multi-scale Feature Fusion with Spatial Attention (MFFSA) module and the Low-level Feature Spatial Attention (LLSA) block. The MFFSA module extracts features from small lesions by fusing multi-scale features. The LLSA block makes the fusion process focus on the details of lesions. The system’s explainability is enhanced by two explainable methods, which clarify the effectiveness of the LLSA block in detecting small lesions and reveal how multi-scale features impact predictions in the MFFSA module. It also connects the prediction results of BI-RADS assessment with medical indicators.</div></div><div><h3>Results:</h3><div>Experiments on open-source mammography datasets of CBIS-DDSM, CDD-CESM and InBreast show the proposed method achieves an AUC of 91.9% (95% CI: 90.5%–93.2%), 91.8% (95% CI: 90.8%–92.8%) and 97.0% (95% CI: 94.7%–98.9%) respectively for the BI-RADS assessment task, and over 87% across all tasks. These results highlight the state-of-the-art performance and the pipeline’s ability to provide precise and comprehensive diagnostic suggestions.</div></div><div><h3>Conclusions:</h3><div>The proposed pipeline represents an advancement in applying artificial intelligence to mammography. Code available at <span><span>https://github.com/jjjjjjjjj58/BI-RADS-Diagnosis-for-Mammograms</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":56092,"journal":{"name":"Physica Medica-European Journal of Medical Physics","volume":"132 ","pages":"Article 104949"},"PeriodicalIF":3.3,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143548163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring biochemical considerations for diffusive alpha radiation therapy (DaRT) models","authors":"Peter Dukakis ,&nbsp;Jesús J. Bosque ,&nbsp;Alejandro Bertolet","doi":"10.1016/j.ejmp.2025.104947","DOIUrl":"10.1016/j.ejmp.2025.104947","url":null,"abstract":"<div><div>Diffusing alpha-emitting Radiation Therapy (DaRT) is a cancer treatment currently undergoing clinical trials. DaRT utilizes localized 224-Radium (²²⁴Ra) seeds to deliver high linear energy transfer (LET) alpha radiation. Its main advantage over other alpha radiation treatments is that the diffusion of ²²⁴Ra decay chain products allows for a more spatially distributed dose. In silico models are used to simulate the physical dynamics of DaRT and the diffusion of DaRT progeny radionuclides into cancer tissue. These models mostly rely on physical principles, often neglecting biochemical interactions with the tumor microenvironment (TME), which affect DaRT dosimetry in human cancer tissue. Here, we address this gap by reviewing how the daughter isotope 212-Lead (²¹²Pb) interacts with chemically heterogeneous TMEs during DaRT treatments. ²¹²Pb is given special attention due to its high physiological activity and long half-life compared to other DaRT radionuclides. By investigating Pb-binding molecules in the TME and their molecular dynamics, we aim to highlight key biochemical processes to be considered by computational models. We identify several species with prevalent roles in cancer tissue as possible binding partners with ²¹²Pb. These species include Glutathione (GSH), Metallothioneins (MTs), Calmodulin (CaM), and Human Serum Albumin (HSA). GSH, MTs, CaM, and HSA were selected based on their known ability to bind to Pb and their concentration in cancer tissue and were examined for their variability in diverse TMEs. Ultimately, this article seeks to guide future research by providing a basic framework of molecular species important for the accurate simulation of DaRT within the TME.</div></div>","PeriodicalId":56092,"journal":{"name":"Physica Medica-European Journal of Medical Physics","volume":"131 ","pages":"Article 104947"},"PeriodicalIF":3.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143512694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Aims & Scope & Editorial Board","authors":"","doi":"10.1016/S1120-1797(25)00061-4","DOIUrl":"10.1016/S1120-1797(25)00061-4","url":null,"abstract":"","PeriodicalId":56092,"journal":{"name":"Physica Medica-European Journal of Medical Physics","volume":"131 ","pages":"Article 104951"},"PeriodicalIF":3.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143548027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Determining optimal imaging protocols for enhanced chest CT: From phantom to clinical study","authors":"Beibei Li ,&nbsp;Shiyu Wang ,&nbsp;Jingyi Zhang ,&nbsp;Yijun Liu ,&nbsp;Jianying Li","doi":"10.1016/j.ejmp.2025.104924","DOIUrl":"10.1016/j.ejmp.2025.104924","url":null,"abstract":"<div><h3>Objectives</h3><div>To investigate the optimal imaging protocols for enhanced chest CT to achieve good image quality and diagnostic performance with a lower radiation dose.</div></div><div><h3>Materials and methods</h3><div>This IRB-approved study included both phantoms and patients. Two phantoms were scanned using 4 scanning modes. Images in each group were reconstructed using adaptive statistical iterative reconstruction-V (ASiR-V) at three strength levels of 40%, 60%, and 80%, denoted A1-3-D1-3, respectively with 1–3 representing the three ASiR-V levels. The image quality and radiation dose were evaluated to obtain the best imaging mode. 48 patients underwent contrast-enhanced standard dose CT (SDCT, protocol A) and low-dose CT (LDCT, protocol D) of the chest for follow-up. The image quality, radiation dose, and volume measurements of the left lung, right lung, and trachea using an AI-based software were compared.</div></div><div><h3>Results</h3><div>In the phantom study, D2 protocol which had the lowest dose, was selected as the optimal imaging protocol for enhanced chest CT. Compared with SDCT, LDCT reduced the radiation dose by 45% compared to SDCT. Images in LDCT with ASiR-V60% had similar noise as the standard SDCT images with the standard ASiR-V40%, but they had higher SNRs and CNRs. In addition, the volumes of the left lung, right lung, and bronchus did not significantly differ between the two groups.</div></div><div><h3>Conclusion</h3><div>The combination of Auto-kV prescription and ODM_full with ASiR-V60% in contrast-enhanced chest CT can achieve individualized low dose scanning with satisfactory image quality and diagnostic accuracy.</div></div>","PeriodicalId":56092,"journal":{"name":"Physica Medica-European Journal of Medical Physics","volume":"132 ","pages":"Article 104924"},"PeriodicalIF":3.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143527429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to “Mechanistic DNA damage simulations in Geant4-DNA part 2: Electron and proton damage in a bacterial cell” [Phys. Medica 48 (2018) 146–155]","authors":"Nathanael Lampe ,&nbsp;Mathieu Karamitros ,&nbsp;Vincent Breton ,&nbsp;Jeremy M.C. Brown ,&nbsp;Dousatsu Sakata ,&nbsp;David Sarramia ,&nbsp;Sébastien Incerti","doi":"10.1016/j.ejmp.2025.104913","DOIUrl":"10.1016/j.ejmp.2025.104913","url":null,"abstract":"","PeriodicalId":56092,"journal":{"name":"Physica Medica-European Journal of Medical Physics","volume":"131 ","pages":"Article 104913"},"PeriodicalIF":3.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143426783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Experience and uncertainty analysis of CT-based adaptive radiotherapy for abdominal treatments","authors":"J.V. Panetta,&nbsp;A. Eldib,&nbsp;J.E. Meyer,&nbsp;T.J. Galloway,&nbsp;E.M. Horwitz,&nbsp;C.M.C. Ma","doi":"10.1016/j.ejmp.2025.104946","DOIUrl":"10.1016/j.ejmp.2025.104946","url":null,"abstract":"<div><h3>Background</h3><div>Online adaptive radiotherapy (ART) allows for daily replanning of treatment plans with adjustments according to current day anatomy. The purpose of this work is to present our methodology for using CT-based ART applied to abdominal cases along with our experience with this treatment. We additionally aim to estimate some of the uncertainties associated with the adaptive process.</div></div><div><h3>Methods and Materials</h3><div>Analysis was performed on patients with abdominal targets (N = 41, 205 fractions), treated on a CT-based adaptive treatment unit; treatment sites were divided into 3 categories: pancreas, liver, and other (e.g., lymph nodes). Statistics regarding contouring time, planning target volume (PTV) coverage, and organ-at-risk (OAR) sparing are presented. Contouring uncertainty was estimated by expanding critical OARs and recalculating dose, and auto-registration uncertainty was estimated by adjusting the registration between the cone beam computed tomography scan and the dose cloud and recalculating dose.</div></div><div><h3>Results</h3><div>Coverage for the planning optimization PTV (PTV_Opt) for adaptive plans was on average 94.7 ± 0.4 %, while for scheduled plans it was on average 92.0 ± 0.6 %. The average decrease in OAR maximum dose by using the adaptive plans was 11.6 ± 1.0 %. Contouring time was on average 23 ± 0 min. Uncertainty estimates for PTV V100% were on average 0.6 ± 0.4 %; combined uncertainties for maximum OAR dose were on average 4.6 ± 0.4 %.</div></div><div><h3>Conclusion</h3><div>Adaptive therapy on average led to plans with improved PTV coverage or OAR sparing, and our workflow allowed for treatment to be completed within a reasonable timeframe. The benefit of adaptive therapy largely outweighed estimates of uncertainty.</div></div>","PeriodicalId":56092,"journal":{"name":"Physica Medica-European Journal of Medical Physics","volume":"131 ","pages":"Article 104946"},"PeriodicalIF":3.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143512695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A feasibility study of lung tumor segmentation on kilo-voltage radiographic images with transfer learning: Toward tumor motion tracking in radiotherapy","authors":"Jie Wei ,&nbsp;Jun Deng ,&nbsp;Ming Chao","doi":"10.1016/j.ejmp.2025.104943","DOIUrl":"10.1016/j.ejmp.2025.104943","url":null,"abstract":"<div><h3>Purpose</h3><div>To segment the lung tumor on kilo-voltage X-ray radiographic images acquired during treatment toward the markerless lung tumor tracking.</div></div><div><h3>Methods</h3><div>Per IRB approval, 1150 radiographic images from 80 lung cancer patients were included in the study. We developed a transfer learning deep segmentation net jury committee (TL-DSN-JC) algorithm to segment lung tumors on these images. The proposed models were initialized with the pre-trained VGG-16/19 networks with all but the weights of the connections between the final two layers frozen. A randomized partitioning was applied to train the deep segmentation net. By independently training 12 different deep segmentation nets (DSNs) to form a jury committee (JC), we could determine whether a pixel belonged to the tumor target. Meta-AI Segment Anything Model (SAM) was also tuned to cross-check with our proposed approach.</div></div><div><h3>Results</h3><div>The results predicted by the TL-DSN-JC algorithm were evaluated using precision, recall, F₁ score that is equivalent to the Dice score, and Hausdorff distance (HD). The TL-DSN-JC algorithm outperformed other similar algorithms such as the singular-DSN-without-transfer-learning, the DSN jury committee without transfer learning, and the singular-DSN-with-transfer-learning by up to 80%. Compared to the SAM-based model, the proposed model was superior in terms of HD although similar performance was observed based on the F₁/Dice score. The results demonstrated that TL-DSN-JC could segment the tumor with clinically acceptable accuracy.</div></div><div><h3>Conclusions</h3><div>The experimental results demonstrated that the proposed algorithm outperformed the conventional deep learning techniques, offering a potential tool for markerless tumor motion tracking on projection images.</div></div>","PeriodicalId":56092,"journal":{"name":"Physica Medica-European Journal of Medical Physics","volume":"132 ","pages":"Article 104943"},"PeriodicalIF":3.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143527428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Monte Carlo calculated beam quality correction factors for high energy photon and electron fields","authors":"Damian Czarnecki ,&nbsp;Klemens Zink","doi":"10.1016/j.ejmp.2025.104939","DOIUrl":"10.1016/j.ejmp.2025.104939","url":null,"abstract":"<div><h3>Purpose:</h3><div>Although several studies provide data on reference dosimetry, ionization chambers are in clinical use worldwide, for which no or only a few correction factors for beam quality are available. The aim of this study was to calculate beam quality correction factors in electron and photon fields for four cylindrical ionization chamber, i.e. CC08, CC04, Razor™ Chamber and Razor™ Nano Chamber (all IBA, Dosimetry, Schwarzenbruck, Germany).</div></div><div><h3>Method:</h3><div>Monte Carlo simulations were performed with the EGSnrc code system to calculate the beam quality correction factor <span><math><msub><mrow><mi>k</mi></mrow><mrow><mi>Q</mi></mrow></msub></math></span>. Therefore, a detailed Monte Carlo based model of the four ionization chambers were created to calculate the dose in the sensitive volume. Electron and photon spectra of clinical linear accelerators within the entire energy range of therapeutic linear accelerators were used as radiation source.</div></div><div><h3>Results:</h3><div><span><math><msub><mrow><mi>k</mi></mrow><mrow><mi>Q</mi></mrow></msub></math></span> values as a function of the beam quality specifiers TPR<span><math><msub><mrow></mrow><mrow><mn>20</mn><mo>,</mo><mn>10</mn></mrow></msub></math></span> and <span><math><msub><mrow><mi>R</mi></mrow><mrow><mn>50</mn></mrow></msub></math></span> were calculated for high energy photon and electron fields, respectively. The data was fitted against recommended equations for photon and electron dosimetry with a <span><math><msup><mrow><mi>χ</mi></mrow><mrow><mn>2</mn></mrow></msup></math></span> between 6.4e−7 and 4.2e−6.</div></div><div><h3>Conclusion:</h3><div>Electron and photon beam quality correction factors <span><math><msub><mrow><mi>k</mi></mrow><mrow><mi>Q</mi></mrow></msub></math></span> were calculated by Monte Carlo simulations for the cylindrical ionization chambers CC08, CC04, Razor™ Chamber and Razor™ Nano Chamber to provide <span><math><msub><mrow><mi>k</mi></mrow><mrow><mi>Q</mi></mrow></msub></math></span> values for absolute dosimetry according to the TRS 398 dosimetry protocol.</div></div>","PeriodicalId":56092,"journal":{"name":"Physica Medica-European Journal of Medical Physics","volume":"131 ","pages":"Article 104939"},"PeriodicalIF":3.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143510727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"All-Ireland evaluation of ultrasound systems for prostate brachytherapy: Application specific quality control protocol and quality assurance phantoms","authors":"Andrea J. Doyle ,&nbsp;Deidre M. King ,&nbsp;Dervil Cody ,&nbsp;Aoife M. Ivory ,&nbsp;Jacinta E. Browne","doi":"10.1016/j.ejmp.2025.104934","DOIUrl":"10.1016/j.ejmp.2025.104934","url":null,"abstract":"<div><h3>Context</h3><div>The goal of quality assurance (QA) for transrectal ultrasound (TRUS) prostate brachytherapy is to ensure optimum patient outcomes by providing a high-quality service using equipment that is operating at optimum performance levels. There are specific recommendations from professional organisations that outline the QA parameters that need to be considered specifically for ultrasound guided prostate brachytherapy. However, these recommendations are heavily based on the guidance made for the general application of ultrasound to all relevant clinical applications.</div><div>Additionally, there is a lack of consensus on the optimum QA test device to conduct the schedule of testing for this specific application of TRUS image guided interventional procedures.</div></div><div><h3>Procedures</h3><div>In this study, we describe a task-specific testing schedule for TRUS QA, detailing the QA test protocol, and the recommended equipment set-up, and scan parameters to evaluate these systems. Also described are the commercially available test devices, as well as custom made devices including the design and acoustic characteristics of the materials used to design the custom devices. This QA test protocol was used to evaluate nine TRUS systems used on the island of Ireland in prostate brachytherapy treatment.</div></div><div><h3>Main Findings</h3><div>The evaluation revealed significant differences among the nine TRUS scanners, highlighting variations in manufacturer pre-sets and their potential limitations in effectively guiding prostate brachytherapy.</div></div><div><h3>Conclusion</h3><div>This study highlights the urgent need for application specific QA test devices for TRUS systems used to guide prostate brachytherapy, and the need for the optimization of scanning parameters during these procedures.</div></div>","PeriodicalId":56092,"journal":{"name":"Physica Medica-European Journal of Medical Physics","volume":"131 ","pages":"Article 104934"},"PeriodicalIF":3.3,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143488991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}