Physical and Engineering Sciences in Medicine最新文献

{"title":"A method for distance accuracy evaluation on the reformatted oblique plane of CT images.","authors":"Choirul Anam, Nafisah N 'Alamah, Evi Setiawati, Ariij Naufal, Riska Amilia, Heri Sutanto, Eko Hidayanto, Lydia P W S Kuntjoro, Toshioh Fujibuchi, Geoff Dougherty","doi":"10.1007/s13246-026-01789-1","DOIUrl":"10.1007/s13246-026-01789-1","url":null,"abstract":"<p><p>This study proposes a new method for evaluating distance accuracy on the reformatted oblique plane using the American College of Radiology (ACR) computed tomography (CT) phantom. Evaluations were performed on oblique images reformatted from axial, sagittal, and coronal images. Oblique images from axial images were reformatted through two radiopaque markers commonly used for distance accuracy on the axial image. Oblique images from sagittal and coronal images were reformatted through eight radiopaque markers at the edge of the phantom usually used to perform centering of the phantom in the x, y, and z directions. Axial images were scanned with two pitches of 0.86 and 1.0. Oblique images were reformatted using IndoQCT and RadiAnt. The distance accuracy was evaluated on the reformatted oblique plane using an electronic caliper available in these two platforms. The percentage differences of measured distances on the reformatted oblique image using IndoQCT were within 2% of the actual distances. The average percentage differences for a pitch of 0.86 was 0.78%, and for pitch of 1.0, it was 0.57%. The percentage differences of measured distances using RadiAnt were within 1% of the actual distances. The average percentage differences for a pitch of 0.86 was 0.22%, and for a pitch of 1.0, it was 0.29%. The proposed method for evaluating distance accuracy on reformatted oblique images using the ACR CT phantom is easily implemented. We found that the percentage difference of distances from the IndoQCT and RadiAnt was within 2%. It is recommended that distance accuracy on the reformatted oblique plane is performed in regular quality control (QC).</p>","PeriodicalId":48490,"journal":{"name":"Physical and Engineering Sciences in Medicine","volume":" ","pages":"1909-1917"},"PeriodicalIF":2.4,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148760742","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":"A triaxial accelerometer-based approach for motion noise resilient segmentation of seismocardiogram signal.","authors":"Subhashree Sahoo, Puneet Kumar Jain","doi":"10.1007/s13246-026-01741-3","DOIUrl":"10.1007/s13246-026-01741-3","url":null,"abstract":"<p><p>Seismocardiography (SCG) utilises an accelerometer to monitor the heart's vibrations. The accelerometer's compact size and light weight make it suitable for wearable heart monitoring. However, motion artefacts from walking or subject movement contaminate the signal in both the time and frequency domains, making monitoring challenging. Monitoring during activity provides deeper insight into cardiovascular function as blood flow demands increase. Existing denoising methods often suppress heart sounds along with high-amplitude motion noise. In contrast, this paper introduces a novel approach to classify and eliminate noise components without affecting the heart sounds, thereby enhancing segmentation accuracy. A triaxial accelerometer is strategically positioned on the chest to capture SCG (z-axis) and motion noise from walking (x-axis). An adaptive Yen's threshold method is developed to detect peaks in the SCG signal. Machine learning models are then trained using time- and frequency-domain features to classify these components, enabling the removal of noise peaks from the SCG signal. Clustering-based post-processing further improves the segmentation. The decision tree model achieves 99% accuracy in identifying Fundamental Heart Sounds (FHSs) in healthy subjects. These findings suggest that, with further clinical validation across diverse patient populations, the proposed approach could revolutionize home monitoring, offering a more accurate and insightful analysis of cardiac activity during daily activities.</p>","PeriodicalId":48490,"journal":{"name":"Physical and Engineering Sciences in Medicine","volume":" ","pages":"1297-1312"},"PeriodicalIF":2.4,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147876114","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":"Assessment of radiation permeability of CoCrMo and Ti-6Al-4V implants by Monte Carlo simulation of mass attenuation coefficients.","authors":"Kamil Savaş, Cüneyt May, Atakan Küskün, Yiğit Ali Üncü","doi":"10.1007/s13246-026-01729-z","DOIUrl":"10.1007/s13246-026-01729-z","url":null,"abstract":"<p><p>Metallic implants remain a major source of artifact formation in computed tomography (CT) imaging, yet the underlying material dependent attenuation mechanisms are not fully characterized. This study provides a comprehensive quantitative comparison of the photon-attenuation properties of cobalt-chromium-molybdenum (CoCrMo) and titanium-aluminum-vanadium (Ti-6Al-4V) orthopedic implant alloys using Monte Carlo N-Particle (MCNP6) simulations across the diagnostic energy range of 50-150 keV, supported by theoretical data from the XCOM photon cross-section database. Radiation attenuation analysis showed that CoCrMo alloy provides higher shielding efficiency than Ti-6Al-4V alloy, which is consistent with the more pronounced computed tomography artifacts observed in patients with CoCrMo hemiarthroplasty implants. The excellent agreement between MCNP simulations and XCOM data (deviation < 1%) validates the robustness of the simulation framework. These results demonstrate that alloy composition and density are primary determinants of photon material interactions and directly influence metal artifact severity, providing a physics-based rationale for material specific CT protocol optimization, implant selection considerations, and advanced artifact reduction strategies.</p>","PeriodicalId":48490,"journal":{"name":"Physical and Engineering Sciences in Medicine","volume":" ","pages":"1145-1155"},"PeriodicalIF":2.4,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147595512","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":"Dose monitoring-guided replanning timing in adaptive radiotherapy for laryngeal cancer.","authors":"Yıldıray Özgüven, Hasan Murat Çaloğlu, Şule Parlar, Vuslat Yürüt Çaloğlu","doi":"10.1007/s13246-026-01756-w","DOIUrl":"10.1007/s13246-026-01756-w","url":null,"abstract":"<p><p>This study aimed to determine the optimal timing for adaptive replanning in patients with locally advanced laryngeal cancer undergoing radiotherapy and to investigate how this timing varies based on anatomical and dosimetric threshold values. Volumetric modulated arc therapy planning was performed for twenty patients with locally advanced laryngeal cancer. All treatments were delivered with daily two dimensional kilovoltage imaging and weekly three dimensional cone beam computed tomography (CBCT) imaging for patient setup verification. The six weekly CBCT datasets obtained during the treatment course were used for dose accumulation analysis. Weekly dose variations in the target volumes and organs at risk were evaluated according to predefined dosimetric thresholds. Neck diameters and parotid gland volumes were measured on the synthetic computed tomography images generated from CBCTs using deformable image registration and assessed according to anatomical thresholds. An average reduction of - 1.18 ± 0.67 cm in neck diameter was observed throughout the treatment course. When the initial plan was compared with the weekly accumulated doses, a D98% dose deviation of - 1.92 Gy was detected for PTV54, while the mean dose deviations for the ipsilateral and contralateral parotid glands were calculated as 2.10 Gy and 1.46 Gy, respectively. By the end of treatment, approximately 65% of patients had exceeded at least one anatomical or dosimetric threshold. The third week, when these thresholds first began to be exceeded, appears to represent a potential standard reference point for replanning evaluation. In patients with locally advanced laryngeal cancer, the third week of treatment, when anatomical and dosimetric thresholds are generally beginning to be exceeded, may serve as a standard reference point for re-planning assessment in radiotherapy. However, it should be noted that anatomical and dosimetric thresholds are not always exceeded simultaneously, and relying solely on anatomical changes may be insufficient for making accurate replanning decisions.</p>","PeriodicalId":48490,"journal":{"name":"Physical and Engineering Sciences in Medicine","volume":" ","pages":"1447-1457"},"PeriodicalIF":2.4,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148413173","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":"HDR brachytherapy postal audit across Australia and New Zealand with in air jig.","authors":"Emily Murphy, David Little, Rachael Wilks, Scott B Crowe, Tanya Kairn","doi":"10.1007/s13246-026-01767-7","DOIUrl":"10.1007/s13246-026-01767-7","url":null,"abstract":"<p><p>Dosimetry audits are a key component of radiotherapy quality improvement, however lack of appropriate tools and resources may be hampering the adoption of audit practices for brachytherapy in particular. In this study, an audit method was developed around a 3D printed reference air kerma rate (RAKR) measurement jig and a pilot high dose rate (HDR) postal audit was completed across eighteen HDR centres across Australia and New Zealand. This pilot study allowed the performance of the 3D printed jig and accompanying audit spreadsheet to be assessed, to inform the design of future iterations of the 3D printed jig tool and provide baseline data for future brachytherapy audits.</p>","PeriodicalId":48490,"journal":{"name":"Physical and Engineering Sciences in Medicine","volume":" ","pages":"1571-1577"},"PeriodicalIF":2.4,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148537273","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":"FSI analysis of synthetic graft for coronary bypass flow: numerical optimization of geometric parameters.","authors":"Farnaz Soltani, Aisa Rassoli, Mahkame Sharbatdar","doi":"10.1007/s13246-026-01774-8","DOIUrl":"10.1007/s13246-026-01774-8","url":null,"abstract":"<p><p>Coronary artery disease, a leading cause of mortality worldwide, often necessitates bypass surgery to restore blood flow and prevent myocardial infarction. In this procedure, a graft is sutured to the coronary artery, bypassing the occluded region. Synthetic grafts are a viable option for such surgeries. This study optimizes the geometric design of synthetic grafts by determining the ideal connection angle and diameter using a genetic algorithm. The algorithm minimizes the Time-Averaged Wall Shear Stress (TAWSS) as the cost function. Parametric variations were applied, with the diameter ranging from 2.5 mm to 4 mm and the connection angle from 20° to 85°. The optimal model identified a graft diameter of 4 mm and a connection angle of 61°. Computational fluid dynamics (CFD) and fluid-structure interaction (FSI) analyses of the optimal design revealed that elevated TAWSS was confined to a small region at the graft-coronary artery junction and the toe of the anastomosis. These findings underscore the importance of optimizing graft geometry to enhance the hemodynamic performance, efficiency, and durability of synthetic grafts in bypass surgeries.</p>","PeriodicalId":48490,"journal":{"name":"Physical and Engineering Sciences in Medicine","volume":" ","pages":"1681-1691"},"PeriodicalIF":2.4,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148438202","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":"Optimizing allocation of limited proton fractions via NTCP-optimized combined proton-photon radiotherapy.","authors":"Wei Wang, Wangyao Li, Yuting Lin, Xu Liu, Bin Qin, Hao Gao","doi":"10.1007/s13246-026-01759-7","DOIUrl":"10.1007/s13246-026-01759-7","url":null,"abstract":"<p><p>Compared to photon radiotherapy (RT), proton RT is less widely available and more costly. To maximize the normal-tissue complication probability (NTCP) benefit of limited proton resources at a population level, this work introduces a novel NTCP-optimized combined proton-photon treatment (NTCP-CPPT) approach that can achieve the OAR-sparing benefits in terms of reaching desired NTCP thresholds with the minimal proton fraction. NTCP-optimized intensity-modulated proton therapy (NTCP-IMPT) and NTCP-optimized intensity-modulated radiation therapy (NTCP-IMRT) plans are generated via the NTCP-optimized treatment planning based on physical dose and NTCP objectives. For each patient, a minimal proton fraction is determined for the NTCP-CPPT plan as a combination of NTCP-IMPT and NTCP-IMRT plans, while still retaining the sum-NTCP threshold for the patient to be justified for the proton access. For comparison, conventional CPPT (CONV-CPPT) plans are obtained by a combination of conventional IMRT (CONV-IMRT) and conventional IMPT (CONV-IMPT) plans that are solely optimized based on physical dose optimization. Compared to CONV-CPPT, NTCP-CPPT reduced the average proton fractions from 18 to 3 without compromising physical dose objectives, while both NTCP-CPPT and CONV-CPPT plans maintained a sum-NTCP below 20% relative to CONV-IMRT. Additionally, NTCP-CPPT, using an average of 22 proton fractions out of 35, maintained the same sum-NTCP as CONV-IMPT required 35 proton fractions. To increase patient access to proton RT, a novel combined proton-photon treatment called NTCP-CPPT is proposed that can provide a minimal number of proton fractions while still retaining sufficient OAR-sparing benefits to justify the proton access.</p>","PeriodicalId":48490,"journal":{"name":"Physical and Engineering Sciences in Medicine","volume":" ","pages":"1483-1493"},"PeriodicalIF":2.4,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13638690/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148670979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Radiomic correlates with overall survival in glioblastoma: amide proton transfer (APT) imaging-based feature analysis and integration of clinical factors.","authors":"Saima Safdar, Nathaniel Barry, Michael Bynevelt, Adriano Polpo, Suki Gill, Pejman Rowshanfarzad, Martin A Ebert","doi":"10.1007/s13246-026-01757-9","DOIUrl":"10.1007/s13246-026-01757-9","url":null,"abstract":"<p><p>This study identifies amide proton transfer (APT) imaging radiomic features that correlate with glioblastoma survival and explore the relationship of combined radiomic data and biomarkers such as age and MGMT methylation status to survival prognosis. In a retrospective study of 66 glioblastoma patients (2022-2023), SlicerBrats was used for automatic tumor segmentation and 504 radiomic features were extracted from APT images. A two-step feature reduction process was applied: (1) Pearson correlation reduced the features to 59 by mitigating multicollinearity, and (2) a Cox model with best subset selection identified the optimal features using the lowest Akaike Information Criterion (AIC). The Goodness-of-Fit (GOF) test was used to evaluate model adequacy. Bootstrapping with 1000 iterations was used to compute the confidence interval for the concordance index (C-index). Univariate Cox models assessed individual radiomics, while models with multiple features evaluated radiomics alone, with age, MGMT methylation, and both. Kaplan-Meier and log-rank tests were performed to stratify survival groups. The radiomics-only model showed the highest C-index (0.74), AIC (191.35), and GOF (p < 0.005). Adding age maintained the C-index (0.74) but raised AIC to 193.16 (p = 0.01). The radiomics + MGMT model achieved a C-index of 0.73 and the lowest AIC (190.15). Kaplan-Meier curves and log-rank tests confirmed all models significantly distinguished survival groups (p < 0.05). APT-derived radiomic features, especially from edema and necrosis, correlate with glioblastoma survival time. Adding MGMT methylation improved predictive accuracy, achieving the lowest partial AIC and a C-index of 0.73. Further validation in larger cohorts is recommended.</p>","PeriodicalId":48490,"journal":{"name":"Physical and Engineering Sciences in Medicine","volume":" ","pages":"1459-1468"},"PeriodicalIF":2.4,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13638680/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148399496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From point sources to phantoms: refining dose rate models in nuclear medicine with Tc-99m, F-18, I-131 and Lu-177.","authors":"Joshua Ierace, Pejman Rowshanfarzad, Christine Sinnott, Rikki Nezich, Paul Brayshaw, Mario Djukelic","doi":"10.1007/s13246-026-01775-7","DOIUrl":"10.1007/s13246-026-01775-7","url":null,"abstract":"<p><p>Healthcare workers are often exposed to external radiation from patients who have been administered radionuclides for nuclear medicine (NM) studies, particularly during subsequent procedures requiring close contact. Traditional dose rate estimates commonly assume patients to be unattenuated point sources and apply inverse square law calculations, which tend to overestimate exposures at clinical distances. This study presents an experimental approach to quantify dose rates more accurately from NM patients using point, line, and phantom source models of Tc-99m, F-18, I-131, and Lu-177. Measurements were performed with calibrated ionisation chambers under controlled low-background conditions. Radionuclide activities were selected to achieve detectable dose rates while minimising staff exposure. Point and line source measurements provided baseline external exposure data across 10-100 cm. Phantom models, including a homogeneous water-filled NEMA body phantom and a PMMA neck phantom, were used to replicate clinical patient geometries. Dose rates were decay-corrected, normalised to activity, and fitted with biexponential models to generate exposure curves. Gamma factors (GFs) were evaluated at 0.3 m and 1.0 m from the centre of the radioactive source and compared with internationally recognised literature values. Self-absorption factors (SFs) were derived by comparing phantom and point source curves across clinical distances. Measured GFs showed excellent agreement with published data and internationally recognised standards, differing by only 2% for F-18 at both 30 cm (1.84 μSv/h/MBq) and 100 cm (0.161 μSv/h/MBq), and by 1% for I-131 at 30 cm (0.721 μSv/h/MBq). The average SF for F-18 (0.71 ± 0.04), representing patient self-attenuation for an unknown body orientation, was consistent with published Monte Carlo estimates. Differences reported in the literature were attributed to methodological variations, including the use of computational modelling rather than direct experimental measurements, along with variations in phantom design, source geometry, and detector configuration. This work presents an experimentally measured dataset with corresponding dose rate models for NM applications. The results contribute additional empirical evidence that may be used alongside established radiation protection methodologies to support assessments of shielding, procedure scheduling, and occupational and public radiation risk, potentially reducing reliance on overly conservative assumptions when evaluating dose rates at clinical distances.</p>","PeriodicalId":48490,"journal":{"name":"Physical and Engineering Sciences in Medicine","volume":" ","pages":"1693-1717"},"PeriodicalIF":2.4,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13638693/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148563424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A method for the assessment of rheumatoid arthritis using neural network supported static and dynamic thermal analysis.","authors":"H Feza Carlak, Yakup Irim, Sevcan Uğur, Cahit Kaçar, Ayşe Ayça Yücel","doi":"10.1007/s13246-026-01734-2","DOIUrl":"10.1007/s13246-026-01734-2","url":null,"abstract":"<p><p>Rheumatoid arthritis (RA) is a chronic inflammatory disease characterized by pain, swelling, stiffness, and loss of joint function, making early diagnosis challenging. The study aims to assess the differences between RA patients (n = 70) and healthy individuals (n = 30) while classifying Ritchie Articular Index (RAI) values (0-3) based on inflammation levels using artificial intelligence algorithms. Metacarpophalangeal (MCP), and proximal-interphalangeal (PIP) joints were analyzed for the degree of inflammation. Static thermal data was collected from individuals at rest in a controlled environment. Then, alcohol was applied to the participants' hand regions, followed by a 180-second thermal video recording of the same region. In the pre-processing step, background noise cleaning and alignment were performed. Background was eliminated using Snake algorithm. Thermal video recordings were aligned using Scale Invariant Feature Transform (SIFT) algorithm. The Skeletonization algorithm was employed to detect fingers and joint regions in the images. For static thermal analysis, initial temperature ([Formula: see text]) values were extracted from the resting thermogram data. In dynamic thermal analysis, the temperature parameters [Formula: see text], [Formula: see text], [Formula: see text], and [Formula: see text] were calculated. A statistical analysis of the four temperature parameters across different RAI values revealed that [Formula: see text] (p = 0.025) and [Formula: see text] (p = 0.042) exhibited statistically significant differences among the four RAI levels. Machine learning models were trained using the resting temperature values of patient and healthy groups, and the SVM achieved the highest success rate of 93%. It is believed that the proposed system may help diagnose RA in clinical settings and contribute to determining the severity of inflammation.</p>","PeriodicalId":48490,"journal":{"name":"Physical and Engineering Sciences in Medicine","volume":" ","pages":"1217-1229"},"PeriodicalIF":2.4,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147575879","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}