{"title":"Predictive models of severe disease in patients with COVID-19 pneumonia at an early stage on CT images using topological properties.","authors":"Takahiro Iwasaki, Hidetaka Arimura, Shohei Inui, Takumi Kodama, Yun Hao Cui, Kenta Ninomiya, Hideyuki Iwanaga, Toshihiro Hayashi, Osamu Abe","doi":"10.1007/s12194-025-00906-1","DOIUrl":"10.1007/s12194-025-00906-1","url":null,"abstract":"<p><p>Prediction of severe disease (SVD) in patients with coronavirus disease (COVID-19) pneumonia at an early stage could allow for more appropriate triage and improve patient prognosis. Moreover, the visualization of the topological properties of COVID-19 pneumonia could help clinical physicians describe the reasons for their decisions. We aimed to construct predictive models of SVD in patients with COVID-19 pneumonia at an early stage on computed tomography (CT) images using SVD-specific features that can be visualized on accumulated Betti number (BN) maps. BN maps (b0 and b1 maps) were generated by calculating the BNs within a shifting kernel in a manner similar to a convolution. Accumulated BN maps were constructed by summing BN maps (b0 and b1 maps) derived from a range of multiple-threshold values. Topological features were computed as intrinsic topological properties of COVID-19 pneumonia from the accumulated BN maps. Predictive models of SVD were constructed with two feature selection methods and three machine learning models using nested fivefold cross-validation. The proposed model achieved an area under the receiver-operating characteristic curve of 0.854 and a sensitivity of 0.908 in a test fold. These results suggested that topological image features could characterize COVID-19 pneumonia at an early stage as SVD.</p>","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"534-546"},"PeriodicalIF":1.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12103364/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144040515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Non-lead flexible composite shields efficiency in decreasing dose in chest CT scan imaging.","authors":"Mahdi Mansoori Kia, Soheila Refahi, Parinaz Mehnati, Reza Malekzadeh, Aarefeh Jafarzadeh Kohneloo","doi":"10.1007/s12194-025-00885-3","DOIUrl":"10.1007/s12194-025-00885-3","url":null,"abstract":"<p><p>Lead-based radiation shielding used usually in radiology departments is being replaced by non-lead shields due to concerns over toxicity, high weight, and the impossibility of applying it in the imaging field. New studies refer to the use of nanomaterials and lightweight polymer-based composites as an alternative that can solve the problems caused by lead shields. The study aims to develop a flexible composite shield for CT scan imaging and examine its effectiveness in reducing radiation exposure. This study involved the construction of 1 mm thick composite shields used in chest CT scan imaging. The first type consisted of 10% bismuth oxide, the second type consisted of 10% tungsten, the third type consisted of 5% bismuth oxide and 5% tungsten, and 90% of the rest of the structure of all shields was silicone. This study examined the morphological test, tensile strength test, attenuation efficiency, and image quality assessment of these shields. The radiation transmission coefficient for 10% bismuth, 10% tungsten and 5% bismuth-5%tungsten shields was obtained as 0.86, 0.80, and 0.83, respectively. Also, the noise increasing percentage for mentioned shields were 6, 4, and 6%, respectively, compared to the case without a shield. The study found that the 10% tungsten-90% silicone shield is the most effective in reducing radiation exposure due to its K-edge and attenuation coefficients. According to the noise assessment, using these shields does not significantly affect the quality of images.</p>","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"358-365"},"PeriodicalIF":1.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143494043","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 image quality evaluation methods for magnetic resonance imaging using compressed sensing-sensitivity encoding (CS-SENSE).","authors":"Norikazu Koori, Shohei Yamamoto, Hiroki Kamekawa, Hiraku Fuse, Masato Takahashi, Shin Miyakawa, Kota Sasaki, Reina Naruse, Kenji Yasue, Hiroki Nosaka, Yasuo Takatsu, Kosaku Saotome, Kazuma Kurata","doi":"10.1007/s12194-025-00911-4","DOIUrl":"10.1007/s12194-025-00911-4","url":null,"abstract":"<p><p>This study aimed to compare the relationship between the quantitative values and visual score of acquired images using the CS-SENSE method. T<sub>1</sub>-weighted image (T<sub>1</sub>WI) and T<sub>2</sub>-weighted image (T<sub>2</sub>WI) were acquired using a phantom created by a 3D printer. Each quantitative values (signal-to-noise ratio [SNR], contrast-to-noise ratio [CNR], structural similarity [SSIM], and scale-invariant feature transform [SIFT]) and visual evaluation score (VES) were calculated by the acquired images. The correlation coefficients among the calculating quantitative values and VES were calculated. The difference in methods for evaluating the image quality of T<sub>1</sub>WI and T<sub>2</sub>WI images using CS-SENSE was clarified. Variations in image quality, as reflected by VES in T<sub>1</sub>WI and T<sub>2</sub>WI images obtained via the CS-SENSE method, can be quantitatively assessed. Specifically, CNR is effective for evaluating changes in T<sub>1</sub>WI, while SNR, CNR, and SIFT are suitable for assessing variations in T<sub>2</sub>WI.</p>","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"597-605"},"PeriodicalIF":1.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144003836","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":"Initial demonstration of the Scratch-PET concept: an intraoperative PET with a hand-held detector.","authors":"Taiyo Ishikawa, Yuma Iwao, Go Akamatsu, Sodai Takyu, Hideaki Tashima, Takayuki Okamoto, Taiga Yamaya, Hideaki Haneishi","doi":"10.1007/s12194-025-00889-z","DOIUrl":"10.1007/s12194-025-00889-z","url":null,"abstract":"<p><p>Positron emission tomography (PET) is a valuable tool for diagnosing malignant tumors. Intraoperative PET imaging is expected to allow the more accurate localization of tumors that need resections. However, conventional devices feature a large detector ring that obstructs surgical procedures, preventing their intraoperative application. This paper proposes a new PET device, Scratch-PET, for image-guided tumor resection. The key feature of Scratch-PET is its use of a hand-held detector to scan the surgical field, ensuring open space for surgery while measuring annihilation radiation with a fixed detector array placed below the patient. We developed a prototype device using two detectors: the hand-held detector and a fixed detector, to demonstrate the feasibility of the proposed concept. Both detectors consisted of 16 × 16 arrays of lutetium yttrium orthosilicates (3 × 3 × 15 mm<sup>3</sup>) coupled one-to-one with 16 × 16 silicon photomultiplier arrays. The position and orientation of the hand-held detector are tracked using an optical tracking sensor that detects attached markers. We measured a <sup>22</sup>Na multi-rod phantom and two <sup>22</sup>Na point sources separately for 180 s while moving the hand-held detector. The rod diameters were 6.0, 5.0, 4.0, 3.0, 2.2, and 1.6 mm. Each point source was placed at the field-of-view center and 35 mm off-center which was outside the sensitive area when the hand-held detector was positioned facing the fixed detector. The 2.2 mm rods were partially resolved, and both point sources were successfully visualized. The potential of the proposed device to visualize small tumors was validated.</p>","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"407-416"},"PeriodicalIF":1.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12103487/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143617559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Potential of the albumin-bilirubin score to predict the hepatic parenchymal contrast enhancement in the portal phase of abdominal dynamic contrast-enhanced multi-detector computed tomography in patients with liver cirrhosis.","authors":"Yasuhiro Inokuchi, Hiromasa Kurosaki","doi":"10.1007/s12194-025-00895-1","DOIUrl":"10.1007/s12194-025-00895-1","url":null,"abstract":"<p><p>The albumin-bilirubin (ALBI) score was recently used to predict hepatic reserve. This score is a continuous variable that is used to determine cutoff values and is easily calculated from albumin and bilirubin levels alone. Thus, we aimed to investigate whether the ALBI score could predict a decreased hepatic parenchymal contrast enhancement (HPCE) during the portal phase of dynamic multi-detector computed tomography in patients with liver cirrhosis (LC). We retrospectively investigated Pearson's correlation between the HPCE and ALBI score in 26 patients diagnosed with liver cirrhosis. We classified the patients into those with HPCE < 50 HU or ≥ 50 HU and investigated whether the ALBI score differed significantly between these two groups. Furthermore, we used receiver operating characteristic curve analysis to determine the appropriate cutoff value of ALBI score for predicting LC patients with HPCE < 50 HU and ascertained the related area under the curve (AUC), sensitivity, and specificity. The HPCE and ALBI score correlated significantly (r = -0.496, P = 0.0098). The ALBI score differed significantly between groups with HPCE < 50 HU and ≥ 50 HU (P = 0.0012). The cutoff value of the ALBI score for detecting LC patients with HPCE < 50 HU was -2.14, with an AUC, sensitivity, and specificity of 0.906, 83%, and 87%, respectively. In conclusion, the ALBI score is related to the HPCE during the portal phase in LC patients, and a cutoff value of ALBI score of -2.14 can predict the HPCE < 50 HU in LC patients.</p>","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"451-456"},"PeriodicalIF":1.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143634868","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":"Impact of iso-dose levels on pre-treatment quality assurance in volumetric modulated arc therapy.","authors":"Sumanta Manna, Sanjib Gayen, Sonal Varshney","doi":"10.1007/s12194-025-00902-5","DOIUrl":"10.1007/s12194-025-00902-5","url":null,"abstract":"<p><p>The current standard of modern radiotherapy pre-treatment evaluation of dose distributions measured using gamma pass percentage is the predominant metric for Patient-Specific Quality Assurance (PSQA). The aim of the study was to analyze the impact of the different dose levels for three different gamma criteria in various anatomical sites. Retrospectively selected 120 VMAT plans of the brain, head and neck, thorax, and pelvic sites were considered for this study. Quality assurance plans were created and measurements were done using PTW Octavius 4D phantom. Three different gamma criteria were used to evaluate different dose levels' volume gamma passing rates. The maximum gamma passing rate for all dose levels except 100% with a 3%/3 mm criterion was observed for the pelvis site. A significant variation in dose levels was observed with the 3%/2 mm gamma criteria for head and neck sites, particularly above the 85% dose level compared to other anatomical sites. Using 2%/2 mm gamma criteria, there was a rapid fall in the gamma passing rate and all the dose levels showed a significant variation among different sites. This study demonstrated significant variations in gamma passing rates across anatomical sites and dose levels, emphasizing the importance of tailored QA protocols. The findings underscore the need for site-specific action limits and highlight the sensitivity of stricter gamma criteria for detecting errors in complex treatment plans.</p>","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"505-513"},"PeriodicalIF":1.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143765298","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":"Radiation dose at the eye lens of patients undergoing radiation therapy for head and neck cancer.","authors":"Panatsada Awikunprasert, Jumneanphan Rueansri, Kittipong Suangamiam, Chaknarin Koedsawat, Surasak Tamon, Nattakarn Kittiva, Tanapol Dachviriyakij","doi":"10.1007/s12194-025-00886-2","DOIUrl":"10.1007/s12194-025-00886-2","url":null,"abstract":"<p><p>Linear accelerator irradiation, the most common treatment for head and neck cancer, requires accurate prediction of lens radiation doses to ensure patient safety. The eye lens, being highly radiosensitive and vulnerable to scattered radiation, is at increased risk of developing cataracts. This study compared radiation doses calculated by the treatment planning system (TPS) with those measured in vivo using optically stimulated luminescence (OSL) dosimeters placed on the eyes of 18 patients undergoing radiotherapy for various head and neck cancers. Bland-Altman analysis was used to assess the agreement between the two methods. The results showed that TPS-calculated doses were significantly higher than OSL-measured doses, with TPS values averaging twice as high. However, in three cases, the measured OSL doses exceeded the TPS predictions. The Bland-Altman plot revealed poor agreement between the two methods. The mean doses to the left and right eye lenses were 182 cGy and 170 cGy, respectively, with the highest recorded doses being 492 cGy for the left eye and 513 cGy for the right eye. Patients with nasopharyngeal cancer received the highest doses, and four patients had doses in the 3-5 Gy range, increasing their risk of cataracts. These findings emphasize the importance of validating TPS accuracy in clinical practice to ensure optimal patient care. Further research is necessary to explore the discrepancies between dose measurements and enhance TPS precision, improving clinical outcomes and patient safety in radiation therapy.</p>","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"366-375"},"PeriodicalIF":1.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143374629","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}
Jun Kasahara, Hiroki Ozaki, Takeo Matsubayashi, Hideyuki Takahashi, Ryohei Nakayama
{"title":"Semantic segmentation for individual thigh skeletal muscles of athletes on magnetic resonance images.","authors":"Jun Kasahara, Hiroki Ozaki, Takeo Matsubayashi, Hideyuki Takahashi, Ryohei Nakayama","doi":"10.1007/s12194-025-00901-6","DOIUrl":"10.1007/s12194-025-00901-6","url":null,"abstract":"<p><p>The skeletal muscles that athletes should train vary depending on their discipline and position. Therefore, individual skeletal muscle cross-sectional area assessment is important in the development of training strategies. To measure the cross-sectional area of skeletal muscle, manual segmentation of each muscle is performed using magnetic resonance (MR) imaging. This task is time-consuming and requires significant effort. Additionally, interobserver variability can sometimes be problematic. The purpose of this study was to develop an automated computerized method for semantic segmentation of individual thigh skeletal muscles from MR images of athletes. Our database consisted of 697 images from the thighs of 697 elite athletes. The images were randomly divided into a training dataset (70%), a validation dataset (10%), and a test dataset (20%). A label image was generated for each image by manually annotating 15 object classes: 12 different skeletal muscles, fat, bones, and vessels and nerves. Using the validation dataset, DeepLab v3+ was chosen from three different semantic segmentation models as a base model for segmenting individual thigh skeletal muscles. The feature extractor in DeepLab v3+ was also optimized to ResNet50. The mean Jaccard index and Dice index for the proposed method were 0.853 and 0.916, respectively, which were significantly higher than those from conventional DeepLab v3+ (Jaccard index: 0.810, p < .001; Dice index: 0.887, p < .001). The proposed method achieved a mean area error for 15 objective classes of 3.12%, useful in the assessment of skeletal muscle cross-sectional area from MR images.</p>","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"496-504"},"PeriodicalIF":1.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143664871","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}
Yui Masaki, Yasuo Yamashita, Takuro Isoda, Toyoyuki Kato, Shingo Baba
{"title":"A study of differences in absorbed dose estimates by images used in dosimetry of Lu-177-DOTATATE therapy.","authors":"Yui Masaki, Yasuo Yamashita, Takuro Isoda, Toyoyuki Kato, Shingo Baba","doi":"10.1007/s12194-025-00898-y","DOIUrl":"10.1007/s12194-025-00898-y","url":null,"abstract":"<p><p>In Lu-177-labeled peptide receptor radionuclide therapy, dosimetry has recently gained importance for assessing side effects and treatment responses. However, no standard method has been established yet. In this retrospective study, we compared the kidney-absorbed doses of 24 treatments with Lu-177-DOTATATE using three methods: a planar method using only planar images, a hybrid method using planar and SPECT/CT images, and a SPECT/CT method using only SPECT/CT images. In the Planar method, the ROI was defined from 2D whole-body planar images and calculated using the MIRD method. In the Hybrid method, the VOI was defined from CT images and the VOIs were placed in the 2D planar image as ROIs, which were calculated using the MIRD method. For the SPECT/CT method, the VOI was defined from CT images and the mean absorbed dose was estimated on a voxel basis. The absorbed dose estimated with the Planar method (15.2 ± 5.81 Gy) was significantly higher than the estimates with the other two methods (Hybrid: 2.93 ± 1.33 Gy, SPECT/CT: 3.81 ± 0.93 Gy) (p < 0.05). The Hybrid and SPECT/CT methods exhibited the strongest correlation. The Planar method demonstrated the highest variability in estimated values. The use of 2D planar images alone tended to overestimate the absorbed dose compared to the other methods, depending on the definition of the ROIs and the characteristics of the analysis software. This suggests that a combined approach using SPECT/CT and planar images is preferable for dosimetry.</p>","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"477-483"},"PeriodicalIF":1.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671386","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":"Comprehensive plan quality assessment of simplified volumetric-modulated arc therapy for lung stereotactic body radiotherapy.","authors":"Yuya Tatsuno, Naritoshi Mukumoto, Tomoya Ishida, Yasuyuki Shimizu, Yoshihiko Yamamoto, Satoshi Seno, Takeaki Ishihara, Daisuke Miyawaki, Ryohei Sasaki","doi":"10.1007/s12194-025-00907-0","DOIUrl":"10.1007/s12194-025-00907-0","url":null,"abstract":"<p><p>In lung stereotactic body radiation therapy, optimizing plan quality, including dosimetric quality and plan complexity, is paramount for mitigating adverse effects and enhancing dose delivery accuracy. This study evaluated the plan quality of dynamic conformal arc-based volumetric-modulated arc therapy (d-VMAT) as a simplified VMAT compared to conventional VMAT (c-VMAT) across various prescription isodose lines (PIL) and planning target volume (PTV) sizes. Twenty inoperable non-small cell lung cancer patients were retrospectively analyzed (PTV: 7.6-68.7 cm<sup>3</sup>). The prescribed dose comprised 48 Gy delivered in four fractions, encompassing 95% of the PTV, with the PIL ranging from 60 to 90% in 10% increments, using a 6X-flattening filter-free beam. The d-VMAT and c-VMAT plans were generated for each patient and PIL setting. Dose indices, including the conformity index (CI), gradient index (GI), and plan complexity, were assessed for each plan. The GI of d-VMAT closely mirrored that of c-VMAT at 60% and 70% PIL. Nevertheless, d-VMAT exhibited significantly higher GI values than c-VMAT at 80% and 90% PIL, particularly for smaller PTV sizes. Notably, d-VMAT demonstrated reduced plan complexity across all PIL compared to c-VMAT. Clinically, significant differences in CI and dose coverage between d-VMAT and c-VMAT were not observed across varying PIL settings in the range of 60-80%. The dose to the organs at risk with d-VMAT was comparable to that with c-VMAT, except at 90% PIL. In conclusion, the simplification of VMAT treatment plan using d-VMAT demonstrates superior plan quality across various PTV sizes at 60% and 70% PIL.</p>","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"547-555"},"PeriodicalIF":1.7,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12103334/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144017516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}