Medical Dosimetry最新文献

{"title":"Comment on “machine learning prediction for lung dose in locally advanced esophageal cancer using volumetric modulated arc therapy”","authors":"Leela Kumaran","doi":"10.1016/j.meddos.2025.09.009","DOIUrl":"10.1016/j.meddos.2025.09.009","url":null,"abstract":"","PeriodicalId":49837,"journal":{"name":"Medical Dosimetry","volume":"51 1","pages":"Page 145"},"PeriodicalIF":1.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145507764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Establishing a knowledge-based planning model for left-sided breast cancer patients receiving hypofractionated postmastectomy and regional nodal irradiation","authors":"Shujun Zhang ,&nbsp;Mei Chen ,&nbsp;Yibin Zhang ,&nbsp;Feifei Xu ,&nbsp;Jinrong Xie ,&nbsp;Gang Cai ,&nbsp;Cheng Xu ,&nbsp;Lu Cao ,&nbsp;Jiayi Chen","doi":"10.1016/j.meddos.2025.06.001","DOIUrl":"10.1016/j.meddos.2025.06.001","url":null,"abstract":"<div><div>We aimed to validate and evaluate a RapidPlan model for left-sided breast cancer patients receiving hypofractionated PM-RNI. This study included 89 patients with left-sided breast cancer who were enrolled in a clinical trial and received PM-RNI using IMRT. A RapidPlan KBP model was developed using 40 clinical IMRT plans treated at Institution A. The performance of the KBP model was assessed through internal validation and external validations at Institution A (<em>n</em> = 40) and Institution B (<em>n</em> = 9) by comparing the dosimetric indices and treatment efficiency between the initial plans and the re-optimized KBP plans. The KBP model's benefit for planners with different experience levels was evaluated by comparing the quality of non-KBP and KBP plans created by beginner, junior, and senior planners for 10 cases. With comparable target coverage, the KBP plans showed superior normal tissue sparing than the initial plans. On average, the mean heart dose was significantly reduced in the internal validation (<em>p</em> &lt; 0.001), external validation at Institution A (<em>p</em> &lt; 0.001), and increased in the validation at Institution B (but not significantly). In terms of dose conformality, KBP plans achieved a notable improvement in CI_50% during the external validation at Institution A (<em>p</em> = 0.006). Additionally, treatment efficiency was improved by the KBP model for all validation datasets, with a reduction of 2.8% to 8.8% in treatment time. The beginner planners benefit most from the KBP model, which improved plan quality by reducing the mean heart dose by 13.67 cGy (<em>p</em> = 0.020). The RapidPlan model for left-sided breast cancer receiving hypofractionated PM-RNI effectively spares organs and increases IMRT treatment efficiency. We also demonstrated that RapidPlan helps transfer planning skills from senior planners to beginner planners, thus improving the consistency of complex IMRT plans.</div></div>","PeriodicalId":49837,"journal":{"name":"Medical Dosimetry","volume":"51 1","pages":"Pages 11-17"},"PeriodicalIF":1.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144621003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reduction of mandibular doses using noncoplanar VMAT radiotherapy in the adjuvant management of locally advanced oral cavity squamous cell cancers","authors":"Joseph Simms ,&nbsp;Nathan Wilson ,&nbsp;Christian Corcoran ,&nbsp;Rachel Brooker","doi":"10.1016/j.meddos.2025.06.002","DOIUrl":"10.1016/j.meddos.2025.06.002","url":null,"abstract":"<div><div>This treatment planning study aims to evaluate the feasibility of ncVMAT for patients receiving OCSCC radiotherapy and whether ncVMAT will help to achieve optimal mandible dose constraints. About 10 cases of ORN were identified in patients with OCSCC who received postoperative (C)RT between November 2014 and November 2017. Scoping for optimal planning technique was performed by comparing original plans with 5 alternative solutions. A noncoplanar solution with one full arc with couch at zero and 2 half-arcs with the couch rotated 45° for each was deemed optimal (minimizing mandibular dose whilst maintaining parotid sparing and avoiding excess dose to optics). Plans were re-optimized using this technique, attempting to improve mandibular V50Gy and D30%. Mean improvement in mandibular doses were most pronounced in Dmean and V50Gy. Applying optimal ncVMAT technique led to reduced mandibular V50Gy, maintained parotid sparing and improved PTV coverage. Mean reduction in mandibular V50 was modest (5.6%), 3 cases (all with centralized high dose PTV with floor of mouth/oral tongue primaries) showed dramatic improvements in V50Gy with reductions of 13.6%, 12.2% and 23.3%. Mandibular sparing can be achieved by ncVMAT without increasing parotid doses but with marginal increases to optic structures. This improvement may confer to reduced frequency of ORN if examined in prospective randomized trial. Dosimetric benefit seems to be greatest in those with central floor of mouth or oral tongue primary cancers.</div></div>","PeriodicalId":49837,"journal":{"name":"Medical Dosimetry","volume":"51 1","pages":"Pages 18-22"},"PeriodicalIF":1.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144660887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Balancing efficiency and quality: A dosimetric comparison of 6FFF and 10FFF for gated liver SMLC SBRT","authors":"Valerie V. Gonzalez MS, CMD ,&nbsp;Kent G. Woodard MS, CMD ,&nbsp;Sydney B. Parker MS ,&nbsp;Jacqueline A. Nyamwanda PhD, MS, CAGS, CMD ,&nbsp;Kyla A. Remillard BS, CMD ,&nbsp;Jennifer Pursley PhD, DABR","doi":"10.1016/j.meddos.2025.07.004","DOIUrl":"10.1016/j.meddos.2025.07.004","url":null,"abstract":"<div><div>This study aimed to evaluate the dosimetric and clinical differences of 6FFF versus 10FFF in gated liver stereotactic body radiation therapy (SBRT), focusing on plan quality and beam-on time (BOT). Given that 10FFF has a higher dose rate, it could improve treatment efficiency by reducing the treatment delivery time. However, it is important to investigate whether the plan quality with 10FFF is equivalent to 6FFF. Twelve liver SBRT plans for patients with hepatic cellular carcinoma (HCC), treated with 6FFF intensity-modulated radiation therapy (IMRT) and respiratory gating radiation therapy (RGRT), were reoptimized using 10FFF. The 10FFF plans were designed to meet the same clinical plan quality standards as the 6FFF plans, maintaining the same planning target volume (PTV) coverage. Plan quality was evaluated through target coverage, organ at risk (OAR) dose, dose fall-off, beam-on time (BOT), and radiation therapy oncology group (RTOG) conformity, gradient, homogeneity, and Paddick conformity index. The statistical significance of the metric comparisons was assessed with a paired student’s T-test. The 10FFF plans had similar plan quality metrics, lower skin dose, and lower projected BOT. GTV and CTV coverage differences (based on clinical goals) were not statistically significant (<em>p</em> &gt; 0.05). Mean dose to the GTV (52.31 ± 0.96 vs. 51.64 ± 0.79 Gy, <em>p</em> = 0.01) and CTV (52.36 ± 0.90 vs. 51.80 ± 0.53 Gy, <em>p</em> = 0.01) was significantly higher in 10FFF than 6FFF, respectively. Projected BOT was 26.5 ± 6.4 seconds faster on average for 10FFF than 6FFF (51.77 ± 12.45 vs. 78.30 ± 12.27 sec, <em>p</em> &lt; 0.001); skin dose was also lower for 10FFF (24.40 ± 4 vs. 29.16 ± 5.47, <em>p</em> &lt; 0.001) using the same IMRT beam arrangement. 10FFF is a viable treatment technique for liver SBRT IMRT, offering improved treatment efficiency and reduced skin dose. Although time savings are modest, 10FFF balances treatment efficiency with plan quality, making it a reasonable alternative.</div></div>","PeriodicalId":49837,"journal":{"name":"Medical Dosimetry","volume":"51 1","pages":"Pages 46-51"},"PeriodicalIF":1.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144790559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Convolutional neural network-based prediction of gamma pass rate in volumetric modulated arc therapy using 3d fluence maps and complexity metrics","authors":"Hiromi Enomoto Ph.D. ,&nbsp;Yukio Fujita Ph.D. ,&nbsp;Saki Matsumoto B.S. ,&nbsp;Takehiro Nakai M.S. ,&nbsp;Yujiro Nakajima Ph.D. ,&nbsp;Takeshi Ebara M.D., Ph.D.","doi":"10.1016/j.meddos.2025.07.006","DOIUrl":"10.1016/j.meddos.2025.07.006","url":null,"abstract":"<div><div>This study aims to develop and validate a deep learning-based model to accurately predict gamma pass rate (GPR) in treatment plans for volumetric modulated arc therapy (VMAT). A dataset comprising 360 VMAT treatment plans was utilized to train and validate the deep learning models. The 3D fluence maps, along with complexity metrics of the treatment planning, were extracted from each treatment plan as input features. Convolutional neural networks were utilized to establish the relationship between input features and GPR. The performance of the 3D fluence-based model (3D Fluence model) was compared with that of models that utilized the 2D Fluence model, dose distributions, and complexity metrics. The 3D Fluence model demonstrated superior performance, achieving a mean absolute error of 0.58 ± 0.21% for the 3%/2 mm gamma criterion and 1.09 ± 0.17% for the 2%/2 mm criterion. This model outperformed other models, including those that incorporate complexity metrics. The proposed 3D Fluence model utilizing deep learning offered a promising approach for accurately and efficiently predicting GPR in VMAT. This method can streamline the patient-specific quality assurance process, resulting in enhanced treatment quality and patient safety.</div></div>","PeriodicalId":49837,"journal":{"name":"Medical Dosimetry","volume":"51 1","pages":"Pages 57-66"},"PeriodicalIF":1.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144976418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Response to comment on “Assessing proton plans with 3 different beam lines vs photon plans for early-stage lung cancer”","authors":"Tara Gray,&nbsp;Ping Xia","doi":"10.1016/j.meddos.2025.10.003","DOIUrl":"10.1016/j.meddos.2025.10.003","url":null,"abstract":"","PeriodicalId":49837,"journal":{"name":"Medical Dosimetry","volume":"51 1","pages":"Page 151"},"PeriodicalIF":1.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145670711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Feasibility of automated treatment planning for HyperArc-based stereotactic recurrent head and neck cancers using knowledge-based planning, multicriteria optimization, and dosimetric scorecards","authors":"Shane McCarthy Ph.D.,&nbsp;William St. Clair M.D., Ph.D.,&nbsp;Eddy S. Yang M.D., Ph.D.,&nbsp;Damodar Pokhrel Ph.D.","doi":"10.1016/j.meddos.2025.09.005","DOIUrl":"10.1016/j.meddos.2025.09.005","url":null,"abstract":"<div><div>The development of a HyperArc-based automated stereotactic treatment planning process for recurrent head and neck (RHN) cancers using knowledge-based planning, multicriteria optimization (MCO), and dosimetric scorecards. Twenty-eight previously treated RHN HyperArc patients, prescribed 30 to 40 Gy in 5 fractions, were used to generate a RapidPlan model. An Eclipse Scripting script was created to automate the model’s use and refine the model’s output with MCO, where tradeoff exploration was guided by a dosimetric scorecard. Final dose, calculated with AcurosXB, was normalized to the original plan’s PTV D95 %. Maximum doses to organs-at-risk (OARs), target metrics, calculation/optimization times and patient-specific quality assurance results were recorded. The automated treatment planning process took on average 12.1 ± 0.9 minutes to generate the RHN RapidPlan plan and an additional 25.0 ± 2.6 minutes for MCO exploration. The GTV mean dose stayed comparable across all plans with an average decrease of 0.8 ± 0.9 Gy from the original plan to the RapidPlan and an average increase of 0.3 ± 1.2 Gy from the original plan to the MCO plan. The PTV Paddick’s conformity index received an average decrease of 0.01 ± 0.01 from original to RapidPlan and an increase of 0.02 ± 0.01 from the original plan to the MCO plan. All OAR maximum dose changes were favorable or remained within clinically acceptable dose levels for stereotactic delivery. The dose delivery accuracy for the final plans were verified with electronic portal imaging device-based portal dosimetry and an independent Monte Carlo second check reported averages of 97.2 % and 96.3 %, respectively, indicating accurate stereotactic delivery. The process established throughout this work offers an automated treatment planning routine, excluding contouring, for stereotactic RHN patients. Through automation, the treatment planning workflow is standardized and quickened, improving the clinical workflow, and expanding accessibility of high-quality HyperArc-based stereotactic treatments for RHN tumor</div></div>","PeriodicalId":49837,"journal":{"name":"Medical Dosimetry","volume":"51 1","pages":"Pages 117-123"},"PeriodicalIF":1.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145276434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of dose prescription variation on local control for SBRT patients treated at a single academic institution","authors":"Aaron D. Andersen PhD ,&nbsp;Indra J. Das PhD ,&nbsp;Colleen DesRosiers PhD","doi":"10.1016/j.meddos.2025.10.001","DOIUrl":"10.1016/j.meddos.2025.10.001","url":null,"abstract":"<div><div>Dose prescription variation in radiation oncology has become common place and is dependent on several factors including dosimetrist experience, physician experience, institution trends, and standard practices. The intra-institutional variation can approach and at times exceed the limits that have been historically associated with affecting local control. SBRT data of 250 patients from a single academic institution were collected. Patient data was binned using prognostic factors including disease site, tumor stage, and tumor volume. Dosimetric parameters D₉₅, D₉₈, and D₂ were extracted from dose volume histogram data for analysis and were correlated with recurrence data from an institutional database for each patient. Kaplan-Meier disease free progression analysis was performed using correlated data. Kaplan-Meier disease free progression analysis for patients with various stages of liver and spine cancers indicated no impact on local control based on the intra-institution variation between dose prescription and planned dose. However, disease free progression analysis on early-stage lung cancers indicated a statistically significant impact on local control due to variations in dose prescription. Stage 1 lung cancers exhibited greater local control for patients that received greater than 120% of the prescribed dose to 2% of the target volume. Due to the relatively small variation in dose prescription at a single academic institution, local control for liver and spine cancers remained unaffected. However, increasing dose to the near-maximum dose point on early-stage lung cancers resulted in a local control benefit.</div></div>","PeriodicalId":49837,"journal":{"name":"Medical Dosimetry","volume":"51 1","pages":"Pages 146-150"},"PeriodicalIF":1.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145642280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ratio of PTV to normal lung volumes as a dosimetric predictor for lung metrics in peripheral lung SBRT","authors":"Zhaohui Han PhD,&nbsp;Ho Young Lee MS,&nbsp;Suhong Yu PhD,&nbsp;Shu-Hui Hsu PhD,&nbsp;Kelly J. Fitzgerald MD, PhD,&nbsp;Benjamin H. Kann MD,&nbsp;David Kozono MD, PhD,&nbsp;Jonathan E. Leeman MD,&nbsp;Ritchell van Dams MD,&nbsp;Raymond H. Mak MD","doi":"10.1016/j.meddos.2025.09.007","DOIUrl":"10.1016/j.meddos.2025.09.007","url":null,"abstract":"<div><div>To identify a dosimetric predictor for lung doses in stereotactic body radiotherapy (SBRT) for peripheral lung cancer and demonstrate the utilities of the predictor in aiding plan evaluation and treatment modality selection. We performed a retrospective review of 108 plans that were previously treated on a TrueBeam in our institute. The cohort was further stratified into three subgroups based on the level of the chest wall (CW) involvement. The achieved lung metrics including the lung V20, V5 and mean lung dose (MLD) were evaluated against an anatomy-based parameter R_PTV/Lungs—ratio of the planning target volume (PTV) to lung volume. Linear regression and prediction interval were used to identify outlier plans that had “suboptimal” lung doses. Re-optimization using alternative strategies to improve the lung doses were carried out for these outlier cases. We demonstrated the utility in treatment platform selection through a comparison with a magnetic resonance (MR) guided system, MRIdian. Strong correlation (R² ∼ 0.9) existed between the lung doses and R_PTV/Lungs for each subgroup. Increasing CW involvement progressively reduced lung doses as is evident by the regression coefficient, which dropped from 414.68 when the PTV-CW distance was &gt; 5 mm, to 274.34 when &gt; 10% of PTV was within CW. Three outlier plans with high lung doses were identified for replanning. Alternative optimization approaches were successful in reducing the lung V20, V5 and MLD by 0.7%, 1.3% and 0.4 Gy on average, respectively. The correlation showed different characteristics between a TrueBeam and a MRIdian, enabling treatment modality selection. The achieved lung metrics in peripheral lung SBRT were highly correlated to R_PTV/Lungs, which can be used as a simple and practical tool to guide plan evaluation and treatment modality selection.</div></div>","PeriodicalId":49837,"journal":{"name":"Medical Dosimetry","volume":"51 1","pages":"Pages 130-135"},"PeriodicalIF":1.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145369024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Preliminary comparison of scalp-sparing effects between 3DCRT and VMAT in pediatric and AYA craniospinal irradiation across photon energies: A phantom-based study","authors":"Daiki Senzaki ,&nbsp;Takahiro Kato ,&nbsp;Shinya Komori ,&nbsp;Yuki Tominaga ,&nbsp;Takaomi Harada ,&nbsp;Hisashi Sato","doi":"10.1016/j.meddos.2025.11.006","DOIUrl":"10.1016/j.meddos.2025.11.006","url":null,"abstract":"<div><div>Permanent alopecia following craniospinal irradiation (CSI) remains a clinically significant quality-of-life concern for pediatric and adolescent and young adult (AYA) patients, particularly when combined with high-dose chemotherapy. This study aimed to evaluate scalp dose-sparing according to irradiation technique and photon beam energy in CSI, using anthropomorphic phantom models representative of pediatric and AYA patients. Anthropomorphic head phantoms simulating a 5-year-old pediatric patient and an adult AYA patient were used to generate CSI cranial field plans. For each phantom, 3-dimensional conformal radiotherapy (3DCRT) and volumetric-modulated arc therapy (VMAT) plans were created using 5 flattened photon beam energies (4, 6, 8, 10, and 15 MV). Scalp structures were delineated as a 5-mm subcutaneous layer and subdivided into top, left, right, and back regions. Dose evaluation focused on the equivalent dose in 2-Gy fractions to 50% of the scalp volume (EQD_50%) and generalized equivalent uniform dose (gEUD), based on published threshold values predictive of permanent alopecia. Target coverage and organ-at-risk (OAR) doses were also compared. VMAT provided significantly lower scalp doses than 3DCRT across all photon energies and scalp regions in both models. Notably, EQD_50% in all regions fell below the clinically suggested 19.9 Gy threshold with VMAT, whereas 3DCRT failed to achieve this consistently. The most favorable balance between scalp-sparing and target coverage was observed with VMAT using 10 MV photons. gEUD values, although reduced with VMAT, generally remained above the reference threshold. Compared with 3DCRT, VMAT achieved substantially improved scalp-sparing in both pediatric and AYA CSI simulations, with 10 MV representing a potentially optimal photon energy. Further clinical validation, including consideration of noncoplanar strategies, is warranted to refine scalp-sparing CSI planning in pediatric settings.</div></div>","PeriodicalId":49837,"journal":{"name":"Medical Dosimetry","volume":"51 2","pages":"Pages 206-212"},"PeriodicalIF":1.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145775991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}