Pub Date : 2026-01-19DOI: 10.1016/j.jrras.2026.102170
Yajing Lin , Xiaowan Zeng , Xiaoyan Li
<div><h3>Objective</h3><div>The aim of this study was to investigate the feasibility of predicting the efficacy of immunotherapy in non-small cell lung cancer (NSCLC) patients using computed tomography (CT) radiomics, and to evaluate the impact of predictive nursing interventions on the quality of life (QOL) and complication rates in these patients.</div></div><div><h3>Methods</h3><div>A total of 68 NSCLC patients treated in hospital were included and randomly assigned into two groups: control group (routine care) and intervention group (predictive nursing intervention in addition to routine care), with 34 patients in each group. All patients underwent contrast-enhanced CT scanning, with the tumor region of interest (ROI) delineated. Intensity, morphological features (sphericity), and texture characteristics (gray-level co-occurrence matrix) were extracted. A predictive model for immunotherapy efficacy was established, and the performance of logistic regression (LR), support vector machine (SVM), K-nearest neighbor (KNN), and Boosting algorithms was compared in terms of accuracy, specificity, precision, recall, and F-score. Additionally, the time of drain removal, hospital stay, post-care QOL scores (including physical function, psychological function, social function, and material life), and complication rates were recorded for both groups.</div></div><div><h3>Results</h3><div>In the prediction model, the LR model performed better on multiple key indicators, with higher accuracy (0.787 vs. 0.771/0.752/0.754), specificity (0.525 vs. 0.352/0.256/0.236), precision (0.895 vs. 0.753/0.761/0.778), recall (0.889 vs. 0.762/0.858/0.793), and F1 score (0.892 vs. 0.757/0.807/0.785) than SVM, KNN, and AdaBoost algorithms. Regarding nursing interventions, the intervention group had significantly shorter drain removal time (52.39 ± 4.32 h) and hospital stay (11.82 ± 1.84 days) compared to the control group (67.93 ± 5.76 h and 17.92 ± 2.91 days, respectively), with statistically significant differences (<em>P</em> < 0.05). Regarding nursing interventions, no significant difference was observed in the baseline QOL scores between the two patient groups at enrollment (<em>P</em> > 0.05), indicating comparability. Post-care, the intervention group showed significantly higher scores in physical function, psychological function, social function, and material life quality compared to the control group (<em>P</em> < 0.05). The incidence of complications in the intervention group (2.94 %) was lower than that in the control group (17.65 %), but the difference did not reach statistical significance (<em>P</em> > 0.05).</div></div><div><h3>Conclusion</h3><div>CT imaging omics technology has shown potential as an auxiliary tool for predicting the efficacy of immunotherapy in NSCLC patients. The predictive nursing model studied in parallel within the same cohort indicates that this prospective nursing approach can significantly improve patient outcomes. This int
{"title":"Impact of computed tomography radiomics-based predictive model for immunotherapy efficacy in non-small cell lung cancer on predictive nursing outcomes","authors":"Yajing Lin , Xiaowan Zeng , Xiaoyan Li","doi":"10.1016/j.jrras.2026.102170","DOIUrl":"10.1016/j.jrras.2026.102170","url":null,"abstract":"<div><h3>Objective</h3><div>The aim of this study was to investigate the feasibility of predicting the efficacy of immunotherapy in non-small cell lung cancer (NSCLC) patients using computed tomography (CT) radiomics, and to evaluate the impact of predictive nursing interventions on the quality of life (QOL) and complication rates in these patients.</div></div><div><h3>Methods</h3><div>A total of 68 NSCLC patients treated in hospital were included and randomly assigned into two groups: control group (routine care) and intervention group (predictive nursing intervention in addition to routine care), with 34 patients in each group. All patients underwent contrast-enhanced CT scanning, with the tumor region of interest (ROI) delineated. Intensity, morphological features (sphericity), and texture characteristics (gray-level co-occurrence matrix) were extracted. A predictive model for immunotherapy efficacy was established, and the performance of logistic regression (LR), support vector machine (SVM), K-nearest neighbor (KNN), and Boosting algorithms was compared in terms of accuracy, specificity, precision, recall, and F-score. Additionally, the time of drain removal, hospital stay, post-care QOL scores (including physical function, psychological function, social function, and material life), and complication rates were recorded for both groups.</div></div><div><h3>Results</h3><div>In the prediction model, the LR model performed better on multiple key indicators, with higher accuracy (0.787 vs. 0.771/0.752/0.754), specificity (0.525 vs. 0.352/0.256/0.236), precision (0.895 vs. 0.753/0.761/0.778), recall (0.889 vs. 0.762/0.858/0.793), and F1 score (0.892 vs. 0.757/0.807/0.785) than SVM, KNN, and AdaBoost algorithms. Regarding nursing interventions, the intervention group had significantly shorter drain removal time (52.39 ± 4.32 h) and hospital stay (11.82 ± 1.84 days) compared to the control group (67.93 ± 5.76 h and 17.92 ± 2.91 days, respectively), with statistically significant differences (<em>P</em> < 0.05). Regarding nursing interventions, no significant difference was observed in the baseline QOL scores between the two patient groups at enrollment (<em>P</em> > 0.05), indicating comparability. Post-care, the intervention group showed significantly higher scores in physical function, psychological function, social function, and material life quality compared to the control group (<em>P</em> < 0.05). The incidence of complications in the intervention group (2.94 %) was lower than that in the control group (17.65 %), but the difference did not reach statistical significance (<em>P</em> > 0.05).</div></div><div><h3>Conclusion</h3><div>CT imaging omics technology has shown potential as an auxiliary tool for predicting the efficacy of immunotherapy in NSCLC patients. The predictive nursing model studied in parallel within the same cohort indicates that this prospective nursing approach can significantly improve patient outcomes. This int","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"19 1","pages":"Article 102170"},"PeriodicalIF":2.5,"publicationDate":"2026-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146034718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-19DOI: 10.1016/j.jrras.2026.102167
Mohammed Ibrahim AlTwijri , Norah D. Alshahrani , Mohammed Elgarhy , Mahmoud Elsehetry , Bassant Elkalzah
In this paper, we present a new extension of the power Komal distribution (PKD), an original modification of the PKD. The new suggested model is called the half-logistic power Komal distribution (HLPKD). This modified distribution keeps the original PKD simple while providing more flexibility and accuracy when modeling data. The HLPKD has numerous statistical characteristics, including right-skewed, decreased and unimodal probability density functions, skewness, kurtosis moments, incomplete moments, and order statistics. We illustrate the HLPKD’s effectiveness and dependability using the maximum likelihood standard parameter estimate technique and a complete simulation exercise. From the simulation results, we can note that the bias, relative bias, mean square error, root mean square error and average length values decrease as the sample size increases Furthermore, implementing the HLPKD to two real-life biomedical/radiation datasets illustrates its usefulness. It can outperform well-known models as power Komal, Komal, power length-biased new xLindley, power Lindley, power Zeghdoudi, half-logistic new Weibull Pareto, half logistic Weibull, and half logistic exponential distributions.
{"title":"A new three-parameter statistical distribution with applications to biomedical and radiation data","authors":"Mohammed Ibrahim AlTwijri , Norah D. Alshahrani , Mohammed Elgarhy , Mahmoud Elsehetry , Bassant Elkalzah","doi":"10.1016/j.jrras.2026.102167","DOIUrl":"10.1016/j.jrras.2026.102167","url":null,"abstract":"<div><div>In this paper, we present a new extension of the power Komal distribution (PKD), an original modification of the PKD. The new suggested model is called the half-logistic power Komal distribution (HLPKD). This modified distribution keeps the original PKD simple while providing more flexibility and accuracy when modeling data. The HLPKD has numerous statistical characteristics, including right-skewed, decreased and unimodal probability density functions, skewness, kurtosis moments, incomplete moments, and order statistics. We illustrate the HLPKD’s effectiveness and dependability using the maximum likelihood standard parameter estimate technique and a complete simulation exercise. From the simulation results, we can note that the bias, relative bias, mean square error, root mean square error and average length values decrease as the sample size increases Furthermore, implementing the HLPKD to two real-life biomedical/radiation datasets illustrates its usefulness. It can outperform well-known models as power Komal, Komal, power length-biased new xLindley, power Lindley, power Zeghdoudi, half-logistic new Weibull Pareto, half logistic Weibull, and half logistic exponential distributions.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"19 1","pages":"Article 102167"},"PeriodicalIF":2.5,"publicationDate":"2026-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146034714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-19DOI: 10.1016/j.jrras.2026.102171
Xiaojin Zheng , Kaili Xu
Objective
This study was aimed to evaluate the diagnostic value of bronchoalveolar lavage fluid (BALF) testing plus high-resolution computed tomography (HRCT) of patients with invasive pulmonary fungal infection (IPFI).
Methods
Two hundred and thirty patients with invasive pulmonary fungal disease were rolled into invasive group (n = 104) and non-invasive group (n = 126) under the diagnostic criteria for IPFI. All patients underwent BALF testing and HRCT imaging. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of BALF testing, HRCT imaging, and their combination were calculated. Seven fungal species were identified in invasive group, with Aspergillus fumigatus exhibiting the highest isolation rate of 61 cases (58.65 %). BALF testing detected fungi in 87 patients, including 57 cases of Aspergillus fumigatus, demonstrating a concordance rate of 93.44 %.
Results
The prevalence of IPFI was 45.22 % (104/230). HRCT findings revealed that invasive fungal infections predominantly affected the left upper lobe (51 cases, 25.89 %). Radiological features included cavities (36.54 %), solitary nodules or masses (25.96 %), aspergillomas (16.35 %), and patchy or consolidative opacities (21.15 %). 1,3-β-D-glucan in serum and galactomannan (GM) in BALF in the invasive group was relatively higher than non-invasive group (P < 0.05). BALF testing demonstrated a sensitivity of 73.08 %, specificity of 91.27 %, PPV of 87.36 %, NPV of 80.42 %, and an area under the ROC curve (AUC) of 0.591. HRCT imaging showed a sensitivity of 65.38 %, specificity of 92.06 %, PPV of 87.18 %, NPV of 76.32 %, and an AUC of 0.724. Combined testing (BALF + HRCT) exhibited superior performance, achieving a sensitivity of 84.62 %, specificity of 93.65 %, PPV of 91.67 %, NPV of 88.06 %, and an AUC of 0.807.
Conclusion
The combination of BALF testing and chest HRCT demonstrates high diagnostic value for IPFI, greatly improving sensitivity and specificity. This integrated approach shows promising diagnostic value and may provide a useful basis for clinical decision-making, though findings require validation in larger, prospective, multi-center studies.
{"title":"Diagnostic value of bronchoalveolar lavage fluid testing combined with high-resolution computed tomography of patients with invasive pulmonary fungal disease","authors":"Xiaojin Zheng , Kaili Xu","doi":"10.1016/j.jrras.2026.102171","DOIUrl":"10.1016/j.jrras.2026.102171","url":null,"abstract":"<div><h3>Objective</h3><div>This study was aimed to evaluate the diagnostic value of bronchoalveolar lavage fluid (BALF) testing plus high-resolution computed tomography (HRCT) of patients with invasive pulmonary fungal infection (IPFI).</div></div><div><h3>Methods</h3><div>Two hundred and thirty patients with invasive pulmonary fungal disease were rolled into invasive group (n = 104) and non-invasive group (n = 126) under the diagnostic criteria for IPFI. All patients underwent BALF testing and HRCT imaging. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of BALF testing, HRCT imaging, and their combination were calculated. Seven fungal species were identified in invasive group, with <em>Aspergillus fumigatus</em> exhibiting the highest isolation rate of 61 cases (58.65 %). BALF testing detected fungi in 87 patients, including 57 cases of <em>Aspergillus fumigatus</em>, demonstrating a concordance rate of 93.44 %.</div></div><div><h3>Results</h3><div>The prevalence of IPFI was 45.22 % (104/230). HRCT findings revealed that invasive fungal infections predominantly affected the left upper lobe (51 cases, 25.89 %). Radiological features included cavities (36.54 %), solitary nodules or masses (25.96 %), aspergillomas (16.35 %), and patchy or consolidative opacities (21.15 %). 1,3-β-D-glucan in serum and galactomannan (GM) in BALF in the invasive group was relatively higher than non-invasive group (<em>P</em> < 0.05). BALF testing demonstrated a sensitivity of 73.08 %, specificity of 91.27 %, PPV of 87.36 %, NPV of 80.42 %, and an area under the ROC curve (AUC) of 0.591. HRCT imaging showed a sensitivity of 65.38 %, specificity of 92.06 %, PPV of 87.18 %, NPV of 76.32 %, and an AUC of 0.724. Combined testing (BALF + HRCT) exhibited superior performance, achieving a sensitivity of 84.62 %, specificity of 93.65 %, PPV of 91.67 %, NPV of 88.06 %, and an AUC of 0.807.</div></div><div><h3>Conclusion</h3><div>The combination of BALF testing and chest HRCT demonstrates high diagnostic value for IPFI, greatly improving sensitivity and specificity. This integrated approach shows promising diagnostic value and may provide a useful basis for clinical decision-making, though findings require validation in larger, prospective, multi-center studies.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"19 1","pages":"Article 102171"},"PeriodicalIF":2.5,"publicationDate":"2026-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146034713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-19DOI: 10.1016/j.jrras.2026.102177
Lisha Fan, Feng Chen
Objective
This work systematically evaluated the incidence and influencing factors of new ischemic brain lesions detected by diffusion-weighted imaging (DWI) following carotid endarterectomy (CEA) or carotid artery stenting (CAS) in patients with CA stenosis through a systematic review and meta-analysis.
Methods
Relevant studies on new ischemic brain lesions detected by DWI after CEA or CAS were retrieved from multiple databases. After literature screening and quality assessment, eleven eligible studies were included. Meta-analysis of key indicators, including the incidence of DWI-detected ischemic lesions and the postoperative DWI-positive rate, was performed using Stata MP18.0 and RevMan5.3.
Results
The pooled estimate of the detection rate of new DWI lesions per post-operative scan was 58.64 % (95 % CI: 44.30 %–72.98 %) under the fixed-effect model, with moderate heterogeneity among studies (I2 = 49.0 %, P = 0.047). Subgroup analysis showed that the incidence of DWI lesions after CAS was 37.84 % (95 % CI: 24.68 %–51.01 %), while after CEA it was 27.05 % (95 % CI: 25.10 %–28.99 %). Among CAS studies reporting the use of embolic protection devices (EPD), the pooled risk difference was 93.82 (95 % CI: 45.34–142.31), with no heterogeneity (I2 = 0.0 %). The pooled effect size for the analysis of DWI lesion characteristics was 58.50 (95 % CI: 28.59–88.40), also with no heterogeneity among studies (I2 = 0.0 %).
Conclusion
This meta-analysis confirmed that new DWI ischemic lesions are common after carotid revascularization, with incidence varying by surgical method (higher in CAS than in CEA). Despite considerable heterogeneity, DWI appears effective for detecting acute postoperative cerebral ischemic injury. Its routine inclusion in assessment protocols should be considered alongside standardization efforts to reduce variability in imaging and procedural protocols.
{"title":"Meta-analysis of diffusion-weighted imaging in detecting postoperative ischemic brain injury in patients with carotid artery stenosis","authors":"Lisha Fan, Feng Chen","doi":"10.1016/j.jrras.2026.102177","DOIUrl":"10.1016/j.jrras.2026.102177","url":null,"abstract":"<div><h3>Objective</h3><div>This work systematically evaluated the incidence and influencing factors of new ischemic brain lesions detected by diffusion-weighted imaging (DWI) following carotid endarterectomy (CEA) or carotid artery stenting (CAS) in patients with CA stenosis through a systematic review and meta-analysis.</div></div><div><h3>Methods</h3><div>Relevant studies on new ischemic brain lesions detected by DWI after CEA or CAS were retrieved from multiple databases. After literature screening and quality assessment, eleven eligible studies were included. Meta-analysis of key indicators, including the incidence of DWI-detected ischemic lesions and the postoperative DWI-positive rate, was performed using <em>Stata MP18.0</em> and <em>RevMan5.3</em>.</div></div><div><h3>Results</h3><div>The pooled estimate of the detection rate of new DWI lesions per post-operative scan was 58.64 % (95 % CI: 44.30 %–72.98 %) under the fixed-effect model, with moderate heterogeneity among studies (<em>I</em><sup><em>2</em></sup> = 49.0 %, <em>P</em> = 0.047). Subgroup analysis showed that the incidence of DWI lesions after CAS was 37.84 % (95 % CI: 24.68 %–51.01 %), while after CEA it was 27.05 % (95 % CI: 25.10 %–28.99 %). Among CAS studies reporting the use of embolic protection devices (EPD), the pooled risk difference was 93.82 (95 % CI: 45.34–142.31), with no heterogeneity (<em>I</em><sup><em>2</em></sup> = 0.0 %). The pooled effect size for the analysis of DWI lesion characteristics was 58.50 (95 % CI: 28.59–88.40), also with no heterogeneity among studies (<em>I</em><sup><em>2</em></sup> = 0.0 %).</div></div><div><h3>Conclusion</h3><div>This meta-analysis confirmed that new DWI ischemic lesions are common after carotid revascularization, with incidence varying by surgical method (higher in CAS than in CEA). Despite considerable heterogeneity, DWI appears effective for detecting acute postoperative cerebral ischemic injury. Its routine inclusion in assessment protocols should be considered alongside standardization efforts to reduce variability in imaging and procedural protocols.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"19 1","pages":"Article 102177"},"PeriodicalIF":2.5,"publicationDate":"2026-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146034715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-17DOI: 10.1016/j.jrras.2026.102178
Qiumei Huang, Yudui Xia, Jingfen Cui, Xinli Wang
Purpose
Successful management of non-muscle-invasive bladder cancer (NMIBC) following transurethral resection of bladder tumor (TURBT) depends critically on compliance with intravesical chemotherapy. This study evaluates the impact of a case management model on patient adherence and prognosis.
Methods
This retrospective cohort analysis enrolled NMIBC patients who underwent intravesical chemotherapy after TURBT from June 2022 to June 2024. Subjects were allocated to either a case management cohort (n = 47) or a conventional care cohort (n = 43). Evaluations conducted at 6 and 12 months post-intervention encompassed adherence to therapy, scores from the Functional Assessment of Cancer Therapy – Bladder (FACT-BL), incidence of complications, rates of bladder tumor recurrence, results from the Self-Rating Anxiety Scale (SAS) and Self-Rating Depression Scale (SDS), as well as outcomes from the European Organization for Research and Treatment of Cancer Quality of Life Questionnaires (EORTC QLQ-C30 and QLQ-BLS24).
Results
The case management group showed higher overall treatment adherence (100 % vs 83.72 %, p = 0.013), calculated for all 47 patients who completed the one-year study period with no dropouts or exclusions due to protocol deviation, and lower complication rates during instillation (21.28 % vs 46.51 %, p = 0.011). FACT-BL scores in all four domains were higher in the case management group (all p < 0.05). SAS (41.77 vs 49.32, p < 0.001) and SDS (44.66 vs 47.82, p = 0.001) scores were lower. QLQ-BLS24 indicated reduced future concerns and improved gastrointestinal symptoms, while QLQ-C30 showed better cognitive, emotional, and social functioning. No difference in bladder tumor recurrence rates was observed (p > 0.05).
Conclusion
A structured case management model enhanced adherence, reduced complications, and improved quality of life for NMIBC patients receiving intravesical chemotherapy without negatively impacting short-term recurrence rates.
目的经尿道膀胱肿瘤切除术（TURBT）后非肌肉侵袭性膀胱癌（NMIBC）的成功治疗关键取决于膀胱内化疗的依从性。本研究评估病例管理模式对患者依从性和预后的影响。方法回顾性队列分析纳入2022年6月至2024年6月在TURBT术后接受膀胱化疗的NMIBC患者。受试者被分配到病例管理队列（n = 47）或常规护理队列（n = 43）。干预后6个月和12个月进行的评估包括治疗依从性、癌症治疗功能评估-膀胱（FACT-BL）评分、并发症发生率、膀胱肿瘤复发率、焦虑自评量表（SAS）和抑郁自评量表（SDS）的结果，以及欧洲癌症研究和治疗组织生活质量问卷（EORTC QLQ-C30和QLQ-BLS24）的结果。结果病例管理组显示了更高的总体治疗依从性（100% vs 83.72%, p = 0.013），所有47名患者完成了一年的研究期，没有因方案偏差而退出或排除，并且在注射期间并发症发生率较低（21.28% vs 46.51%, p = 0.011）。病例管理组在所有四个领域的FACT-BL得分均较高（p < 0.05）。SAS （41.77 vs 49.32, p < 0.001）和SDS （44.66 vs 47.82, p = 0.001）评分较低。QLQ-BLS24减少了对未来的担忧，改善了胃肠道症状，而QLQ-C30表现出更好的认知、情感和社交功能。两组膀胱肿瘤复发率无显著差异（p > 0.05）。结论结构化的病例管理模式提高了接受膀胱化疗的NMIBC患者的依从性，减少了并发症，改善了生活质量，而不会对短期复发率产生负面影响。
{"title":"Impact of case management on chemotherapy adherence, complications, and quality of life post-bladder tumor resection","authors":"Qiumei Huang, Yudui Xia, Jingfen Cui, Xinli Wang","doi":"10.1016/j.jrras.2026.102178","DOIUrl":"10.1016/j.jrras.2026.102178","url":null,"abstract":"<div><h3>Purpose</h3><div>Successful management of non-muscle-invasive bladder cancer (NMIBC) following transurethral resection of bladder tumor (TURBT) depends critically on compliance with intravesical chemotherapy. This study evaluates the impact of a case management model on patient adherence and prognosis.</div></div><div><h3>Methods</h3><div>This retrospective cohort analysis enrolled NMIBC patients who underwent intravesical chemotherapy after TURBT from June 2022 to June 2024. Subjects were allocated to either a case management cohort (n = 47) or a conventional care cohort (n = 43). Evaluations conducted at 6 and 12 months post-intervention encompassed adherence to therapy, scores from the Functional Assessment of Cancer Therapy – Bladder (FACT-BL), incidence of complications, rates of bladder tumor recurrence, results from the Self-Rating Anxiety Scale (SAS) and Self-Rating Depression Scale (SDS), as well as outcomes from the European Organization for Research and Treatment of Cancer Quality of Life Questionnaires (EORTC QLQ-C30 and QLQ-BLS24).</div></div><div><h3>Results</h3><div>The case management group showed higher overall treatment adherence (100 % vs 83.72 %, p = 0.013), calculated for all 47 patients who completed the one-year study period with no dropouts or exclusions due to protocol deviation, and lower complication rates during instillation (21.28 % vs 46.51 %, p = 0.011). FACT-BL scores in all four domains were higher in the case management group (all p < 0.05). SAS (41.77 vs 49.32, p < 0.001) and SDS (44.66 vs 47.82, p = 0.001) scores were lower. QLQ-BLS24 indicated reduced future concerns and improved gastrointestinal symptoms, while QLQ-C30 showed better cognitive, emotional, and social functioning. No difference in bladder tumor recurrence rates was observed (p > 0.05).</div></div><div><h3>Conclusion</h3><div>A structured case management model enhanced adherence, reduced complications, and improved quality of life for NMIBC patients receiving intravesical chemotherapy without negatively impacting short-term recurrence rates.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"19 1","pages":"Article 102178"},"PeriodicalIF":2.5,"publicationDate":"2026-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145976947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-17DOI: 10.1016/j.jrras.2026.102179
Xue Zhong, Yuhang Song, Zhen Wang
Objectives
Peri-implantitis and early osseointegration at the implant interface are critical challenges in dental implantation. An effective strategy to tackle these issues involves loading bioactive components onto the titanium surface and controlling their release. This research utilizes phase-transited lysozyme (PTL)to functionalize implant titanium surfaces, with the objective of fabricating a hydroxyapatite coating infused with bismuth nanoparticles to inhibit bacterial colonization and promote osteogenesis in vitro, thereby addressing key factors in the prevention of peri-implantitis.
Methods
First, use PTL to modify the surface of pristine titanium. On this basis, prepare a hydroxyapatite coating through the biomimetic mineralization method. Then, load the bismuth nanoparticles onto the titanium sheet by electrostatic adsorption. Finally, obtain a bismuth-loaded hydroxyapatite composite coating.
Results
Scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDX) and X-ray photoelectron spectroscopy (XPS) analyses confirmed that hydroxyapatite and bismuth nanoparticle composite coatings had been successfully laid down on modified titanium substrates with PTL treatment. SEM and transmission electron microscope (TEM) images revealed the microstructural characteristics of the coatings and the size distribution of the spherical BiNPs (approximately 20–30 nm). Bacterial assays and confocal microscopy observations demonstrated that the bismuth-loaded samples possessed potent early-stage antibacterial activity, effectively inhibiting both planktonic and adherent bacterial viability over a 5-day period, though efficacy gradually decreased over time. Laboratory cell tests indicated the coated titanium discs demonstrated minimal cytotoxicity and positively influenced osteoblast proliferation and adhesion, indicative of favorable biocompatibility.
Conclusion
The resultant Ti-HA-BiNPs coating conferred both enhanced antibacterial properties (>90 % initial inhibition) and osteogenic promotion, offering a promising dual-functional strategy for the prevention of peri-implantitis and enhancement of implant stability in the early postoperative period.
{"title":"Construction of a nanobismuth-loaded hydroxyapatite coating on titanium surface and its antibacterial-osteogenic performance study","authors":"Xue Zhong, Yuhang Song, Zhen Wang","doi":"10.1016/j.jrras.2026.102179","DOIUrl":"10.1016/j.jrras.2026.102179","url":null,"abstract":"<div><h3>Objectives</h3><div>Peri-implantitis and early osseointegration at the implant interface are critical challenges in dental implantation. An effective strategy to tackle these issues involves loading bioactive components onto the titanium surface and controlling their release. This research utilizes phase-transited lysozyme (PTL)to functionalize implant titanium surfaces, with the objective of fabricating a hydroxyapatite coating infused with bismuth nanoparticles to inhibit bacterial colonization and promote osteogenesis in vitro, thereby addressing key factors in the prevention of peri-implantitis.</div></div><div><h3>Methods</h3><div>First, use PTL to modify the surface of pristine titanium. On this basis, prepare a hydroxyapatite coating through the biomimetic mineralization method. Then, load the bismuth nanoparticles onto the titanium sheet by electrostatic adsorption. Finally, obtain a bismuth-loaded hydroxyapatite composite coating.</div></div><div><h3>Results</h3><div>Scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDX) and X-ray photoelectron spectroscopy (XPS) analyses confirmed that hydroxyapatite and bismuth nanoparticle composite coatings had been successfully laid down on modified titanium substrates with PTL treatment. SEM and transmission electron microscope (TEM) images revealed the microstructural characteristics of the coatings and the size distribution of the spherical BiNPs (approximately 20–30 nm). Bacterial assays and confocal microscopy observations demonstrated that the bismuth-loaded samples possessed potent early-stage antibacterial activity, effectively inhibiting both planktonic and adherent bacterial viability over a 5-day period, though efficacy gradually decreased over time. Laboratory cell tests indicated the coated titanium discs demonstrated minimal cytotoxicity and positively influenced osteoblast proliferation and adhesion, indicative of favorable biocompatibility.</div></div><div><h3>Conclusion</h3><div>The resultant Ti-HA-BiNPs coating conferred both enhanced antibacterial properties (>90 % initial inhibition) and osteogenic promotion, offering a promising dual-functional strategy for the prevention of peri-implantitis and enhancement of implant stability in the early postoperative period.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"19 1","pages":"Article 102179"},"PeriodicalIF":2.5,"publicationDate":"2026-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146034708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-17DOI: 10.1016/j.jrras.2025.102145
Wail M. Idress , Yuqian Zhao , Osama Ziad Shahin , Laeeq Aslam , Muhammad Asim , Mudasir Ahmad Wani , Kashish Ara Shakil
Computed tomography (CT) plays a critical role in diagnosing liver diseases by enabling detailed visualization of internal anatomical structures. However, to minimize radiation exposure, low-dose CT (LDCT) protocols are often adopted; these inevitably lead to increased image noise and reduced spatial resolution, which adversely affect diagnostic quality. To address these limitations, we propose a novel super-resolution (SR) framework based on an enhanced version of the Enhanced Super-Resolution Generative Adversarial Network (ESRGAN), specifically designed for LDCT liver imaging. Our method integrates Residual-in-Residual Dense Blocks (RRDBs) within the generator to effectively capture complex anatomical features and hierarchical textures. A self-attention module is incorporated to selectively emphasize diagnostically salient regions, facilitating more accurate restoration of critical structures. The discriminator network, trained using an adversarial learning strategy, guides the generator toward producing images with enhanced perceptual realism. We evaluate our Self-Attention Residual-in-Residual Dense Block ESRGAN (Self-Attention RRDB-ESRGAN) model using three publicly available datasets: the Liver Tumor Segmentation Challenge (LiTS17), 3DIRCADb, and the Medical Segmentation Decathlon (Task 03_Liver). Quantitative metrics, including peak signal-to-noise ratio (PSNR), structural similarity index measure (SSIM), and mean opinion score (MOS), demonstrate the superior performance of our model in restoring high-fidelity images from low-dose inputs. The Self-Attention RRDB-ESRGAN achieved an average PSNR of 41.579 dB and an SSIM of 0.9472, significantly outperforming existing methods, while experienced radiologists rated the perceptual quality with an average MOS of 4.05 out of 5. These findings highlight the effectiveness and clinical applicability of the proposed framework for enhancing LDCT liver images and improving diagnostic accuracy.
{"title":"Enhancing low-dose CT liver imaging with self-attention RRDB-ESRGAN: A SR approach for improved diagnostic accuracy","authors":"Wail M. Idress , Yuqian Zhao , Osama Ziad Shahin , Laeeq Aslam , Muhammad Asim , Mudasir Ahmad Wani , Kashish Ara Shakil","doi":"10.1016/j.jrras.2025.102145","DOIUrl":"10.1016/j.jrras.2025.102145","url":null,"abstract":"<div><div>Computed tomography (CT) plays a critical role in diagnosing liver diseases by enabling detailed visualization of internal anatomical structures. However, to minimize radiation exposure, low-dose CT (LDCT) protocols are often adopted; these inevitably lead to increased image noise and reduced spatial resolution, which adversely affect diagnostic quality. To address these limitations, we propose a novel super-resolution (SR) framework based on an enhanced version of the Enhanced Super-Resolution Generative Adversarial Network (ESRGAN), specifically designed for LDCT liver imaging. Our method integrates Residual-in-Residual Dense Blocks (RRDBs) within the generator to effectively capture complex anatomical features and hierarchical textures. A self-attention module is incorporated to selectively emphasize diagnostically salient regions, facilitating more accurate restoration of critical structures. The discriminator network, trained using an adversarial learning strategy, guides the generator toward producing images with enhanced perceptual realism. We evaluate our Self-Attention Residual-in-Residual Dense Block ESRGAN (Self-Attention RRDB-ESRGAN) model using three publicly available datasets: the Liver Tumor Segmentation Challenge (LiTS17), 3DIRCADb, and the Medical Segmentation Decathlon (Task 03_Liver). Quantitative metrics, including peak signal-to-noise ratio (PSNR), structural similarity index measure (SSIM), and mean opinion score (MOS), demonstrate the superior performance of our model in restoring high-fidelity images from low-dose inputs. The Self-Attention RRDB-ESRGAN achieved an average PSNR of 41.579 dB and an SSIM of 0.9472, significantly outperforming existing methods, while experienced radiologists rated the perceptual quality with an average MOS of 4.05 out of 5. These findings highlight the effectiveness and clinical applicability of the proposed framework for enhancing LDCT liver images and improving diagnostic accuracy.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"19 1","pages":"Article 102145"},"PeriodicalIF":2.5,"publicationDate":"2026-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145976944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-15DOI: 10.1016/j.jrras.2025.102135
Yang Liu, Fei Teng, Yan Ding, Jian Zhou, Qibo Cai, Yang Shi, Qi Liu
To investigate the value of ultrasonic shear wave elastography (SWE), magnetic resonance imaging (MRI) and apparent diffusion coefficient (ADC) in evaluating the degree of liver fibrosis in nonalcoholic fatty liver disease (NAFLD).
150 patients with NAFLD were selected as the observation group, another 150 healthy subjects were selected as the control group. According to METAVIR score, the degree of liver fibrosis was divided into F0 stage, F1 stage, F2 stage, F3 stage and F4 stage. SWE, MRI and ADC values were detected in all subjects. Spearman correlation coefficient was used to analyze the correlation between each parameter and the stage of liver fibrosis.
The results of liver puncture pathology were the gold standard. Young's modulus and MRI-PDFF (Proton density fat fraction) in observation group were higher than those in control group, ADC was lower than those in control group (P < 0.05). Young's modulus and MRI-PDFF in F4 group were higher than those in F3, F2, F1 and F0 groups (P < 0.05), and ADC in F4 group was lower than that in F3, F2, F1 and F0 groups (P < 0.05), and the differences among all groups were statistically significant (P < 0.05). Young's modulus and MRI-PDFF were positively correlated with the degree of NAFLD liver fibrosis, while ADC was negatively correlated (r = 0.662, 0.542, −0.571, P < 0.05). The AUC value of Young's modulus, MRI-PDFF and ADC values in the evaluation of the degree of NAFLD liver fibrosis was higher than that of single detection (Z = 3.283, 3.276, 4.038, P < 0.05). The calibration curve and receiver operating characteristic curve (ROC) showed that the model had better predictive value, and the plotted decision curve (DCA) also showed obvious positive net benefit.
The combined determination of SWE, MRI and ADC has higher value in evaluating the degree of liver fibrosis in NAFLD. The nomogram model established by this method has good predictive value.
{"title":"Evaluation value of ultrasonic shear wave elastic imaging, MRI combined with ADC value in liver fibrosis degree of nonalcoholic fatty liver","authors":"Yang Liu, Fei Teng, Yan Ding, Jian Zhou, Qibo Cai, Yang Shi, Qi Liu","doi":"10.1016/j.jrras.2025.102135","DOIUrl":"10.1016/j.jrras.2025.102135","url":null,"abstract":"<div><div>To investigate the value of ultrasonic shear wave elastography (SWE), magnetic resonance imaging (MRI) and apparent diffusion coefficient (ADC) in evaluating the degree of liver fibrosis in nonalcoholic fatty liver disease (NAFLD).</div><div>150 patients with NAFLD were selected as the observation group, another 150 healthy subjects were selected as the control group. According to METAVIR score, the degree of liver fibrosis was divided into F0 stage, F1 stage, F2 stage, F3 stage and F4 stage. SWE, MRI and ADC values were detected in all subjects. Spearman correlation coefficient was used to analyze the correlation between each parameter and the stage of liver fibrosis.</div><div>The results of liver puncture pathology were the gold standard. Young's modulus and MRI-PDFF (Proton density fat fraction) in observation group were higher than those in control group, ADC was lower than those in control group (<em>P</em> < 0.05). Young's modulus and MRI-PDFF in F4 group were higher than those in F3, F2, F1 and F0 groups (<em>P</em> < 0.05), and ADC in F4 group was lower than that in F3, F2, F1 and F0 groups (<em>P</em> < 0.05), and the differences among all groups were statistically significant (<em>P</em> < 0.05). Young's modulus and MRI-PDFF were positively correlated with the degree of NAFLD liver fibrosis, while ADC was negatively correlated (<em>r</em> = 0.662, 0.542, −0.571, <em>P</em> < 0.05). The <em>AUC</em> value of Young's modulus, MRI-PDFF and ADC values in the evaluation of the degree of NAFLD liver fibrosis was higher than that of single detection (<em>Z</em> = 3.283, 3.276, 4.038, <em>P</em> < 0.05). The calibration curve and receiver operating characteristic curve (<em>ROC</em>) showed that the model had better predictive value, and the plotted decision curve (DCA) also showed obvious positive net benefit.</div><div>The combined determination of SWE, MRI and ADC has higher value in evaluating the degree of liver fibrosis in NAFLD. The nomogram model established by this method has good predictive value.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"19 1","pages":"Article 102135"},"PeriodicalIF":2.5,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145976946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-13DOI: 10.1016/j.jrras.2025.102146
Nadyah Alanazi , Raghad Aljeraiwi , Maram Almutairi , Abdullah N. Alodhayb
Monte Carlo Simulations are methods used to simulate physical systems and evaluate physical properties that are extremely difficult to execute in real life. It is used as a golden standard tool for modeling complex radiation interactions with materials and for modeling complex detectors geometries. Such simulation methods designed for different particles transports such as protons, neutrons, and gamma-rays. In this review, we will focus on recent literature on using Monte Carlo Simulation in detecting radiations, focusing on GEANT, MCNP, and EGS toolkits highlighting their unique capabilities in simulating various particles and geometries with high accuracy, as well as recent advancements in enhancing their performance including high-performance computing integration, variance reduction techniques, and hybrid modeling approaches that combine Monte Carlo simulations with deterministic or AI-based techniques. The review outlines recent Monte Carlo simulation applications such as medical physics, particle physics, and environmental monitoring, underlining the adaptability and future potentials of Monte Carlo simulation in advanced radiation detection systems.
{"title":"A survey on recent Progress on Monte Carlo simulation methods in radiation detection","authors":"Nadyah Alanazi , Raghad Aljeraiwi , Maram Almutairi , Abdullah N. Alodhayb","doi":"10.1016/j.jrras.2025.102146","DOIUrl":"10.1016/j.jrras.2025.102146","url":null,"abstract":"<div><div>Monte Carlo Simulations are methods used to simulate physical systems and evaluate physical properties that are extremely difficult to execute in real life. It is used as a golden standard tool for modeling complex radiation interactions with materials and for modeling complex detectors geometries. Such simulation methods designed for different particles transports such as protons, neutrons, and gamma-rays. In this review, we will focus on recent literature on using Monte Carlo Simulation in detecting radiations, focusing on GEANT, MCNP, and EGS toolkits highlighting their unique capabilities in simulating various particles and geometries with high accuracy, as well as recent advancements in enhancing their performance including high-performance computing integration, variance reduction techniques, and hybrid modeling approaches that combine Monte Carlo simulations with deterministic or AI-based techniques. The review outlines recent Monte Carlo simulation applications such as medical physics, particle physics, and environmental monitoring, underlining the adaptability and future potentials of Monte Carlo simulation in advanced radiation detection systems.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"19 1","pages":"Article 102146"},"PeriodicalIF":2.5,"publicationDate":"2026-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145976941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-13DOI: 10.1016/j.jrras.2026.102162
Lei Zhang , Qingqing Sun , Qingyong Cai , Mingqiang Shen , Zhijun Zhu , Tengfang Zhang , Baolei Liang , Jinjiao Zhang
Background
Metastasis and recurrence remain the principal causes of mortality in non-small cell lung cancer (NSCLC) patients. A critical prerequisite for tumor cell invasion and metastasis is the development of resistance to anoikis. In NSCLC, high levels of KLK5 are linked to lymphatic metastasis and unfavorable patient survival. This study was designed to investigate the role of KLK5 in anoikis and hypothesized that KLK5 promotes NSCLC metastasis by conferring anoikis resistance via the PI3K/AKT pathway.
Methods
We established and characterized an anoikis-resistant stable cell line, AR-H1299. KLK5 expression in these cells was measured using RT-qPCR and Western blot. Functional assessments of AR-H1299 cells, including CCK-8 assay, colony formation assay, flow cytometry, wound healing assay, and Transwell assay, were performed, and the levels of epithelial-mesenchymal transition (EMT) and metastasis signaling-related proteins were examined. The mechanism by which KLK5 confers anoikis resistance was further investigated through Western blot analysis and functional rescue experiments.
Results
Our results show that KLK5 expression is closely associated with anoikis resistance in NSCLC cells. Genetic knockdown of KLK5 inhibited, while its overexpression enhanced, the proliferation, migration, invasion, and EMT process of AR-H1299 cells. Mechanistic studies revealed that KLK5 promotes the expression of downstream apoptotic regulators Bcl-2 and Bad by activating the PI3K/AKT pathway. Rescue experiments confirmed that the PI3K/AKT inhibitor LY294002 could counteract the pro-metastatic effects induced by KLK5 upregulation.
Conclusion
This study elucidates a previously unreported mechanism by which KLK5 confers anoikis resistance through the PI3K/AKT signaling pathway to promote metastasis in NSCLC.
{"title":"KLK5 promotes anoikis resistance in non-small cell lung cancer by activating PI3K/AKT signaling pathway","authors":"Lei Zhang , Qingqing Sun , Qingyong Cai , Mingqiang Shen , Zhijun Zhu , Tengfang Zhang , Baolei Liang , Jinjiao Zhang","doi":"10.1016/j.jrras.2026.102162","DOIUrl":"10.1016/j.jrras.2026.102162","url":null,"abstract":"<div><h3>Background</h3><div>Metastasis and recurrence remain the principal causes of mortality in non-small cell lung cancer (NSCLC) patients. A critical prerequisite for tumor cell invasion and metastasis is the development of resistance to anoikis. In NSCLC, high levels of KLK5 are linked to lymphatic metastasis and unfavorable patient survival. This study was designed to investigate the role of KLK5 in anoikis and hypothesized that KLK5 promotes NSCLC metastasis by conferring anoikis resistance via the PI3K/AKT pathway.</div></div><div><h3>Methods</h3><div>We established and characterized an anoikis-resistant stable cell line, AR-H1299. KLK5 expression in these cells was measured using RT-qPCR and Western blot. Functional assessments of AR-H1299 cells, including CCK-8 assay, colony formation assay, flow cytometry, wound healing assay, and Transwell assay, were performed, and the levels of epithelial-mesenchymal transition (EMT) and metastasis signaling-related proteins were examined. The mechanism by which KLK5 confers anoikis resistance was further investigated through Western blot analysis and functional rescue experiments.</div></div><div><h3>Results</h3><div>Our results show that KLK5 expression is closely associated with anoikis resistance in NSCLC cells. Genetic knockdown of KLK5 inhibited, while its overexpression enhanced, the proliferation, migration, invasion, and EMT process of AR-H1299 cells. Mechanistic studies revealed that KLK5 promotes the expression of downstream apoptotic regulators Bcl-2 and Bad by activating the PI3K/AKT pathway. Rescue experiments confirmed that the PI3K/AKT inhibitor LY294002 could counteract the pro-metastatic effects induced by KLK5 upregulation.</div></div><div><h3>Conclusion</h3><div>This study elucidates a previously unreported mechanism by which KLK5 confers anoikis resistance through the PI3K/AKT signaling pathway to promote metastasis in NSCLC.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"19 1","pages":"Article 102162"},"PeriodicalIF":2.5,"publicationDate":"2026-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145976945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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