Current problems in diagnostic radiology最新文献

{"title":"Radiology quick cash? Kickbacks, compliance, and consequences.","authors":"Robert Optican, Richard Duszak","doi":"10.1067/j.cpradiol.2024.05.020","DOIUrl":"10.1067/j.cpradiol.2024.05.020","url":null,"abstract":"<p><p>The Anti-Kickback Statute was passed by Congress in the 1970s to reduce the overuse of government-reimbursed medical services. It attempts to eliminate fraud, abuse, and waste of medical services by outlawing the incentive of personal gain when referring patients for government-funded services. Although safe harbors were written into the law to maintain transactions beneficial to society, they require strict adherence. Anti-Kickback Statute violations are subject to the whistleblower provision of the False Claims Act, and violations can yield significant civil and criminal penalties.</p>","PeriodicalId":93969,"journal":{"name":"Current problems in diagnostic radiology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140961173","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":"Preliminary investigation: Feasibility study of a virtual reality breast biopsy simulation.","authors":"Kyle Kleiman, Stefanie Zalasin, Ceren Yalniz, Kathryn Zamora, Yufeng Li, Stefanie Woodard","doi":"10.1067/j.cpradiol.2024.10.034","DOIUrl":"https://doi.org/10.1067/j.cpradiol.2024.10.034","url":null,"abstract":"<p><strong>Rationale and objectives: </strong>Ultrasound-guided breast biopsies are the most frequently performed imaging-guided breast procedures. During training, learners may lack exposure due to limited volume and sensitive anatomy. Current simulation training often involves the use of manufactured or homemade (chicken or turkey breast) phantoms. Virtual reality is an emerging technology, allowing learners to have flexibility in learning, real-life interactive experiences and measurable feedback. The purpose of this study is to assess the feasibility of a novel virtual reality breast biopsy simulation trainer.</p><p><strong>Methods: </strong>This was a HIPAA-compliant, IRB-approved prospective feasibility study. The participants were three fellowship-trained breast radiologists with varying years of experience. Participants received an introduction to the virtual reality (VR) breast biopsy simulation and brief training session, describing how to enter the simulation and navigate controls. The participants were instructed to perform as many breast biopsies as possible within a 15-min time period. One biopsy cycle consisted of entering the breast with the biopsy needle, taking a biopsy sample and removing the needle. Time to successfully biopsy the mass was recorded by the VR program, and this data was recorded to assess improvement from start to finish of the simulation. A post-procedure survey was administered to all participants immediately after completion of the simulation. Qualitative open-ended subjective feedback was also obtained via Qualtrics.</p><p><strong>Results: </strong>All three breast radiologists completed the simulation. There were no complications from the procedure, including no motion sickness or fatigue resulting in simulation termination. Results of data obtained from the simulation showed decreased time to successful biopsy (slope = -19.23) with each subsequent trial for all three participant breast radiologists. A decreased time to biopsy was associated with a higher cumulative number of successful biopsies (p = 0.0037). A higher number of cumulative successful biopsies was associated with decreased number of body entries (p = 0.0332) and biopsy fires (p = 0.0221) before a successful tissue sample. Mean responses for Likert scale survey results were overall high. The radiologists found the simulator to be engaging (4.67/5.00 ± 0.47), realistic (2.67/3.00 ± 0.47) and would recommend the simulation to other healthcare professionals (2.67/3.00 ± 0.47). The radiologists participating in the trial also provided overall favorable subjective feedback.</p><p><strong>Conclusions: </strong>This study presents a novel approach for ultrasound-guided breast biopsy training with a VR simulation that showed to be successfully capable of recording time-to-completion of each biopsy attempt. Future studies will be directed toward assessing the utility of the simulation in improving trainee skills.</p>","PeriodicalId":93969,"journal":{"name":"Current problems in diagnostic radiology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142565312","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":"Musculoskeletal imaging fellowship program directors: A study of educational paths, and scholarly engagement in the United States.","authors":"Mili Rohilla, Shruti Kumar, Parv Mehta, Samruddhi Jain, Abhigyan Bindal, George Vilanilam, Tarun Pandey","doi":"10.1067/j.cpradiol.2024.10.007","DOIUrl":"https://doi.org/10.1067/j.cpradiol.2024.10.007","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Purpose: &lt;/strong&gt;The overall aim of the study is to analyze and provide a comprehensive understanding of the demographics, educational backgrounds, and scholarly activities of musculoskeletal imaging fellowship program directors across the United States.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;A list of all members of the Society of Skeletal Radiology was obtained and musculoskeletal imaging fellowship program directors across the US were included. Publicly available online sources were used to gather demographic and educational information about each musculoskeletal imaging fellowship program director, which included the online curriculum vitae from the program websites, Health Grades, Doximity, and Elsevier's Scopus database. Demographic and educational data including age, gender, educational background (medical school, residency, fellowship), additional degrees, academic rank, prior leadership positions, and metrics of scholarly activity were recorded. Fellowships in diagnostic musculoskeletal radiology along with additional degrees were recorded. A two-tailed unpaired t-test was used to calculate the difference between means of scholarly activity between male and female PDs.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;In this study encompassing 92 programs across the United States, the majority (88) were dedicated to pure Musculoskeletal (MSK) Imaging Fellowship, while one each offered combined training in MSK and Body Imaging, MSK, and Emergency Imaging, MSK Sports, and Interventional Spine, and Pediatric MSK Imaging. Program directors were identified for 90 out of 92 programs, revealing a regional distribution of 29 in the South (31.5 %), 24 in the North East (26.1 %), 20 in the Midwest (21.74 %) and 19 in the West (20.65 %). Gender analysis unveiled a predominantly male representation, with 71 male directors compared to 17 female directors, while age ranged from 30 to 70 years, with a mean age of 47.17 ± 7.4 years. Medical school backgrounds predominantly featured MD degrees (80), followed by IMG (7) and DO (4) degrees, with the most common IMG source being India. Faculty positions were mainly distributed among Assistant Professors (35), Associate Professors (32), and Professors (11). Research output metrics showcased a mean of 41.943 publications and an h-index of 10.625. Extra degrees were obtained by 31 directors, with common additions being other fellowships, MBAs, MS degrees, and PhDs. Notably, some directors held previous or current leadership positions, while a few had completed residencies outside of Radiology or pursued fellowships beyond MSK Imaging.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusion: &lt;/strong&gt;Musculoskeletal imaging fellowship program directors across the United States are predominantly male, with approximately 8 % having graduated from international medical schools. The most common training pathway for these directors is completing a diagnostic radiology residency followed by a musculoskeletal radiology fellowship. This study highlighted the ge","PeriodicalId":93969,"journal":{"name":"Current problems in diagnostic radiology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142483994","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":"Is there still protected health information in openly available PowerPoint files?","authors":"David Stern, William Weadock","doi":"10.1067/j.cpradiol.2024.10.006","DOIUrl":"https://doi.org/10.1067/j.cpradiol.2024.10.006","url":null,"abstract":"<p><strong>Introduction: </strong>PowerPoint presentations containing radiographic images continue to be an important educational tool for healthcare professionals. When properly deidentified, these radiographic imaging files are valuable and do not pose any privacy concerns for patients. However, when these images are not properly managed, patient information can be uncovered; raising concerns about patient privacy and potential legal consequences for healthcare systems and academic institutions. This study revisited and expanded upon previous work published by Weadock et. al in an attempt to see how this issue has changed in the last 15 years.</p><p><strong>Methods: </strong>This study consisted of 8 separate Google Web searches related to a medical imaging modality. Each PowerPoint file was manually inspected for imaging files including x rays, CT scans, MRI's, PET scans, CT and MR angiography and ultrasounds. If a PowerPoint contained an image file, it was then inspected for PHI. Full PHI included all of the following: patient's full name, medical registration number (MRN), date and a geographic indicator smaller than a state.</p><p><strong>Results: </strong>The first two Google searches \"Magnetic Resonance Imaging filetype:ppt\" and \"Cardiac CT CAT Scan filetype:ppt\" returned 146 search results with 7.6 % containing full PHI. \"Radiology Chest X-ray filetype:ppt\" resulted in accessible PHI in 40 % of the presentations with images and \"Post-Operative CT Scan filetype:ppt\" resulted in accessible PHI in 29 %. Magnetic Resonance Imaging filetype:pptx\" returned 0 results with PHI. \"Cardiac CT CAT scan filetype:pptx\" returned 1 result with partial PHI.\"Radiology Chest X-ray filetype:pptx\" contained 4 results with partial PHI and 1 result with full PHI. \"Post-Operative CT scan filetype:pptx\" contained 2 presentations with partial PHI.</p><p><strong>Discussion: </strong>While a declining percentage of PowerPoint files containing PHI is reassuring, this follow up study demonstrated that PHI can still be easily accessed openly on the internet by anyone who has basic familiarity with Microsoft PowerPoint. Work remains to continue to educate users on how to properly protect patient information in PowerPoint files. Appropriately protecting private healthcare information is essential for patient safety and can prevent unintentional HIPAA violations. Radiologists are uniquely positioned to educate other healthcare providers on how to properly remove PHI from radiologic imaging files.</p>","PeriodicalId":93969,"journal":{"name":"Current problems in diagnostic radiology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142483993","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":"Clinical opinion spotlight: A sustainable model for improving access to mobile mammography for underserved populations.","authors":"Rohan Badve, Sidhvi Reddy, Stefanie Zalasin, Kathryn Zamora, Ceren Yalniz, Stefanie Woodard","doi":"10.1067/j.cpradiol.2024.10.004","DOIUrl":"https://doi.org/10.1067/j.cpradiol.2024.10.004","url":null,"abstract":"<p><p>Minority women face disproportionately higher risks of breast cancer diagnosis and mortality under 50. Mobile mammography vans enhance screening accessibility but face challenges like long-term funding and operational viability. This study assesses existing mobile mammography van programs and proposes a sustainable model through literature review and qualitative interviews at a tertiary care academic medical center. The proposed model emphasizes partnerships, sponsorships and long-term funding for ensuring workforce sustainability. Organizational structure, budget allocation, patient workflow and follow-up protocols are aimed at transitioning towards serving primarily uninsured patients while maintaining financial stability. This sustainable approach hopes to enhance screening rates and timely care for underserved women, suggesting scalability and potential to reduce late-stage diagnoses and mortality. Continued implementation and evaluation are essential for validating feasibility and effectiveness, ensuring long-term improvement in screening rates and program longevity.</p>","PeriodicalId":93969,"journal":{"name":"Current problems in diagnostic radiology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142483991","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":"Exploring the integration of artificial intelligence in radiology education: A scoping review.","authors":"Muying Lucy Hui, Ethan Sacoransky, Andrew Chung, Benjamin YM Kwan","doi":"10.1067/j.cpradiol.2024.10.012","DOIUrl":"10.1067/j.cpradiol.2024.10.012","url":null,"abstract":"<p><strong>Background: </strong>The integration of Artificial Intelligence (AI) into radiology education presents a transformative opportunity to enhance learning and practice within the field. This scoping review aims to systematically explore and map the current landscape of AI integration in radiology education.</p><p><strong>Methods: </strong>The review process involved systematically searching four databases, including MEDLINE (Ovid), Embase (Ovid), PsychINFO (Ovid), and Scopus. Inclusion criteria focused on research that addresses the use of AI technologies in radiology education, including but not limited to, AI-assisted learning platforms, simulation tools, and automated assessment systems. This scoping review was registered on Open Science Framework using the Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) extension to scoping review.</p><p><strong>Results: </strong>Of the 1081 search results, 9 studies met the inclusion criteria. Key findings indicate a diverse range of AI applications in radiology education, from personalized curriculum generation and diagnostic support tools to automated evaluation systems. The review highlights both the potential benefits, such as enhanced diagnostic accuracy, and the challenges, including technical limitations.</p><p><strong>Conclusion: </strong>The integration of AI into radiology education, which has significant potential to enhance outcomes and professional practice, requires overcoming existing challenges and ensuring that AI complements rather than replaces traditional methods, with future research needed on longitudinal studies to evaluate its long-term impact.</p>","PeriodicalId":93969,"journal":{"name":"Current problems in diagnostic radiology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142396231","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":"Thoracic MRI in pleural infection - a feasibility study from patients' and radiographers' perspectives.","authors":"Pia Iben Pietersen, Tobias Stæhr Jakobsen, Stefan Markus Walbom Harders, Jürgen Biederer, Stefan Møller Luef, Morten Bendixen, Jesper Rømhild Davidsen, Christian B Laursen","doi":"10.1067/j.cpradiol.2024.10.001","DOIUrl":"https://doi.org/10.1067/j.cpradiol.2024.10.001","url":null,"abstract":"<p><strong>Background: </strong>Pleural infections present significant clinical challenges, particularly in elderly or immunosuppressed patients, leading to prolonged hospital stay, high morbidity and high mortality. While CT and X-ray are standard imaging modalities, MRI's potential remain unexplored due to historical limitations in scan duration and patient discomfort. Advances in MRI technology, however, may enable its broader use in thoracic imaging. The study aimed to explore the feasibility of thoracic MRI from the radiographers' and patients' perspectives.</p><p><strong>Methods: </strong>A prospective feasibility study was conducted involving thirteen patients with pleural infections who underwent thoracic MRI as an add-on within 48 h of the conventional contrast-enhanced chest CT. Feasibility was assessed on technical success, and scan duration. Patients and radiographers experiences were evaluated through questionnaires and qualitative comments.</p><p><strong>Results: </strong>Technical success was high as all thirteen patients completed the scans. The mean in-room time was 30.7±5.5 minutes and the mean scan time was 23 ± 5.4 minutes. Radiographers reported the MRI scans as feasible with few patients requiring breaks or assistance. Most patients found the MRI experience manageable though two reported difficulties with breath-hold instructions. No patients were challenged by lying in supine position and no patients felt very anxious. No significant movement- or breathing artefacts were identified on MRI.</p><p><strong>Conclusion: </strong>Thoracic MRI is feasible with high technical success, acceptable scan time, and good patient experience in patients with pleural infections offering potential as a radiation-free imaging modality. Furthermore, compared to CT, the use of MRI showed potential advantages in identifying pleural effusion septations.</p>","PeriodicalId":93969,"journal":{"name":"Current problems in diagnostic radiology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142396234","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":"Comparison of RECIST 1.1, mRECIST and PERCIST for assessment of peptide receptor radionuclide therapy treatment response in metastatic neuroendocrine tumors.","authors":"Jack Zhao, Kaustav Bera, Amr Mohamed, Qiubai Li, Nikhil Ramaiya, Sree Harsha Tirumani","doi":"10.1067/j.cpradiol.2024.10.003","DOIUrl":"https://doi.org/10.1067/j.cpradiol.2024.10.003","url":null,"abstract":"<p><strong>Purpose: </strong>To compare RECIST 1.1, modified RECIST (mRECIST) and PERCIST for assessment of Peptide Receptor Radionuclide Therapy (PRRT) treatment response in metastatic neuroendocrine tumors.</p><p><strong>Materials: </strong>In this IRB-approved, HIPAA compliant retrospective study, patients treated with PRRT between July 2019 and Dec 2022 were identified. Inclusion criteria were presence of at least one pre-and one post-treatment imaging (CT, MRI, Ga 68 or Cu64 DOTATATE PET/CT) within one year of the start and end of PRRT respectively. The imaging was reviewed independently by two radiologists using RECIST 1.1, modified RECIST (mRECIST) and PERCIST criteria. Response of first post treatment scan and presence of disease progression during follow-up were recorded along with the date of best response and disease progression. Statistical analysis was performed to determine inter-reader agreement and agreement between the various response criteria using kappa statistics.</p><p><strong>Results: </strong>Best response by RECIST 1.1 was recorded in 26 patients (PR-7, SD- 13, PD- 6), by mRECIST in 22 patients (PR-7, SD- 10, PD- 5), by PERCIST in 14 patients (PR-4, SD- 3, PD- 7). Inter-reader agreement was highest for PERCIST (weighted kappa 0.921, standard error 0.078 95% CI 0.769 to 1.000) followed by RECIST 1.1 (weighted kappa 0.897, standard error 0.071 95% CI 0.758 to 1.000) and mRECIST (weighted kappa 0.883, standard error 0.079 95% CI 0.727 to 1.000).</p>","PeriodicalId":93969,"journal":{"name":"Current problems in diagnostic radiology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142402443","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":"Simulated learning environment for diagnosis of appendicitis and other causes of abdominal pain in pregnant patients using MRI.","authors":"Daniel R Ludwig, Benjamin S Strnad, Anup S Shetty, Richard Tsai, Vincent M Mellnick","doi":"10.1067/j.cpradiol.2024.10.005","DOIUrl":"https://doi.org/10.1067/j.cpradiol.2024.10.005","url":null,"abstract":"<p><strong>Objectives: </strong>Acute appendicitis is a common surgical condition which is usually diagnosed on CT in adult patients, though MRI is frequently used as a first-line diagnostic test in pregnant patients due to its lack of ionizing radiation and superior ability to visualize the appendix compared to ultrasound. Interpretation of abdominal MRI exams in pregnant patients with suspected appendicitis is an important skill in clinical practice, but one that is difficult to become proficient at due to its relative infrequence, even in a high-volume practice.</p><p><strong>Methods: </strong>We created a simulation-based platform built on an online radiology viewing platform (Pacsbin) for training residents and abdominal imaging fellows to interpret pregnant appendicitis MRI exams, which we made publicly available for use by trainees at any institution (forms.office.com/r/FYyq06rw0v). This platform was used to train our 2024-2025 abdominal imaging fellows (N=8), and we collected pre- and post-intervention survey data which included level of confidence (Likert scale,1-5) in approaching these studies.</p><p><strong>Results: </strong>We discuss and illustrate the content of our case set, including various teaching points we emphasize throughout the exercise. Among our eight body imaging fellows, the level of confidence in approaching pregnant appendicitis MRI studies after the intervention increased from 2.4 ± 0.7 (range 1-3) to 3.6 ± 0.5 (range 3-4; p = 0.01).</p><p><strong>Conclusion: </strong>Simulation-based training sets such as this have the potential to supplement traditional approaches in radiology education across a broad range of radiology subspecialities and imaging modalities.</p>","PeriodicalId":93969,"journal":{"name":"Current problems in diagnostic radiology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142383022","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":"What can radiologists learn from the AI evolution in dentistry?","authors":"Ophir Tanz, Ryan C Rizk, Steven P Rowe, Elliot K Fishman, Linda C Chu","doi":"10.1067/j.cpradiol.2024.10.008","DOIUrl":"https://doi.org/10.1067/j.cpradiol.2024.10.008","url":null,"abstract":"","PeriodicalId":93969,"journal":{"name":"Current problems in diagnostic radiology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142396235","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}