Journal of Radiation Research and Applied Sciences最新文献

{"title":"Magnetized water mitigates AlCl3-induced oxidative stress and Alzheimer's-like neurotoxicity in rats","authors":"Sherifa F.M. Dawoud ,&nbsp;Safaa A. El-Shazly ,&nbsp;Amal I. El-Refaiy ,&nbsp;Heba I. Ghamry ,&nbsp;Aisha M. Sharaf-Eldin ,&nbsp;Azza A. Mostafa ,&nbsp;Mahmoud R. Sofy ,&nbsp;Ahmed R. Sofy ,&nbsp;Mohammed, A. El-Magd ,&nbsp;Amina M.G. Zedan ,&nbsp;Amany A. El-Sadawy","doi":"10.1016/j.jrras.2025.101660","DOIUrl":"10.1016/j.jrras.2025.101660","url":null,"abstract":"<div><h3>Objectives</h3><div>This study aimed to investigate the possible neuroprotective effects of the magnetized water on aluminum chloride (AlCl₃)-induced oxidative damage and Alzheimer's-like neurotoxicity in the brain.</div></div><div><h3>Methods</h3><div>There were four groups of rats: the 1st group (the control with natural water), the 2nd group administered with magnetized water, the third group treated with AlCl₃, and the fourth group received AlCl₃ plus magnetized water.</div></div><div><h3>Results</h3><div>Administration of AlCl₃ triggered neurodegeneration in the brain as evidenced by: 1) high Al concentration in brain and serum, 2) oxidative stress damage [low activities of catalase (CAT) and superoxide dismutase (SOD), high levels of malondialdehyde (MDA)], 3) reduction of the acetylcholine (ACh) level in the brain, 4) increase of acetylcholinesterase (AChE) activities in the brain, 5) upregulation of brain <em>HDAC3</em> and <em>APP</em> genes, 6) downregulation of brain <em>IGF1, GH, PSEN2</em> and <em>APOE4</em> genes, 7) noticeable histopathological alterations including pyknosis of granular neuron cells and pyramidal cells, glial nodules, amyloid plaque-like structure, shrunken granular cells, vacuolated neuropils, and degenerated Purkinje neurons, and 8) positive GFAP expression in the cytoplasm and processes of astrocytes. On the other hand, these alterations were ameliorated in rats that received AlCl₃ plus magnetized water compared to the rats treated with AlCl₃ alone.</div></div><div><h3>Conclusion</h3><div>We conclude a neuroprotective potential of the magnetized water against AlCl₃-induced oxidative damage and neurotoxicity in the brain. These preclinical findings highlight magnetized water as a candidate for further investigation, including dose-response studies and human trials to assess efficacy in age-related cognitive disorders.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 3","pages":"Article 101660"},"PeriodicalIF":1.7,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144170166","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}

{"title":"Transformer-based multi-modal learning for breast cancer screening: Merging imaging and genetic data","authors":"Mingshuang Fang ,&nbsp;Binxiong Xu","doi":"10.1016/j.jrras.2025.101586","DOIUrl":"10.1016/j.jrras.2025.101586","url":null,"abstract":"<div><h3>Objective</h3><div>This study addresses the clinical need for more accurate breast cancer screening by developing a transformer-based, multi-modal BI-RADS classification framework that integrates mammographic radiomics, deep imaging features, and RNA-Seq-derived genetic biomarkers.</div></div><div><h3>Materials and methods</h3><div>Lesion auto-segmentation was performed using Swin-UNETR and nnU-Net on a dataset of 4265 patients collected from five medical centers. Radiomics and deep features were extracted using ResNet50 and Vision Transformer (ViT) architectures, and RNA-Seq genetic features were obtained via DNABERT and TabTransformer models. The dataset included BI-RADS distributions as follows: BI-RADS 1 (853), BI-RADS 2 (1066), BI-RADS 3 (853), BI-RADS 4 (853), and BI-RADS 5 (640) patients. Prior to classification, the reliability of extracted features was evaluated via Intraclass Correlation Coefficient (ICC) analysis, and dimensionality reduction was conducted using Principal Component Analysis (PCA), followed by feature selection methods including Least Absolute Shrinkage and Selection Operator (LASSO), Recursive Feature Elimination (RFE), and Analysis of Variance (ANOVA). The refined feature set was subsequently classified using machine learning algorithms such as XGBoost, CatBoost, SVM, and Random Forest. Model performance was assessed using metrics including accuracy, area under the curve (AUC), and recall, with five-fold cross-validation and an external test set utilized to confirm generalization.</div></div><div><h3>Results</h3><div>Swin-UNETR demonstrated superior segmentation performance compared to nnU-Net (DSC = 0.94 versus 0.88). Feature-based classification leveraging radiomics and deep learning features attained a peak accuracy of 89.22 % when utilizing ViT in combination with Swin-UNETR. The integration of radiomics, deep, and genetic features further enhanced classification outcomes, with the LASSO-XGBoost model achieving 96.17 % accuracy, an AUC of 97.22 %, and a recall rate of 95.28 %. Moreover, the end-to-end deep learning approach also yielded strong results, with the ViT model (based on Swin-UNETR segmentation) attaining an accuracy of 92.68 % and an AUC of 94.81 %.</div></div><div><h3>Conclusions</h3><div>Multi-modal integration significantly outperformed unimodal approaches, demonstrating strong generalization and robustness.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 3","pages":"Article 101586"},"PeriodicalIF":1.7,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144170163","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}

{"title":"Radiation and gyrotactic microorganisms in Walter-B nanofluid flow over a stretching sheet","authors":"Muhammad Shaheen ,&nbsp;Hakeem Ullah ,&nbsp;Mehreen Fiza ,&nbsp;Aasim Ullah Jan ,&nbsp;Ali Akgül ,&nbsp;A.S. Hendy ,&nbsp;Samira Elaissi ,&nbsp;Ilyas Khan ,&nbsp;Mohsen Bakhori ,&nbsp;N.F.M. Noor","doi":"10.1016/j.jrras.2025.101644","DOIUrl":"10.1016/j.jrras.2025.101644","url":null,"abstract":"<div><div>The present study investigates the flow characteristics of both homogeneous and heterogeneous Walter-B nanofluids induced by a stretching sheet. Special attention is given to the effects of melting and magnetic fields on the flow behavior. The distribution of motile microorganisms is modeled using a microbial conservation equation, incorporating key parameters such as the Lewis number, Peclet number, and the microorganism difference parameter. The influence of thermal radiation and the heterogeneous reaction parameter is also considered. To facilitate the analysis, the governing partial differential equations are transformed into a set of ordinary differential equations using similarity transformations. A convergent series solution is then obtained through the application of the Homotopy Analysis Method (HAM). The study further explores the effects of various physical parameters, including the Prandtl number, magnetic field intensity, radiation, thermophoresis, Brownian motion, bioconvection, Peclet number, and the microorganism difference parameter. Results indicate that the velocity field decreases with an increase in the magnetic parameter, while the temperature profile diminishes with higher values of the radiation parameter. Furthermore, the concentration of microorganisms is observed to decline with increasing Lewis number.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 3","pages":"Article 101644"},"PeriodicalIF":1.7,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144170164","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}

{"title":"The relationship between shoulder radiation dose and impairment in breast cancer patients: A prospective study using three-dimensional conformal radiotherapy","authors":"Pedram Fadavi ,&nbsp;Amir Mohammad Arefpour ,&nbsp;Manijeh Beigi ,&nbsp;Zahra Bagherpour ,&nbsp;Donya Davoodi ,&nbsp;Maryam Garousi ,&nbsp;Elahe Mirzaee ,&nbsp;Seyed Majid Akhavan Hejazi ,&nbsp;Alireza Amanollahi ,&nbsp;Sepideh Soltani","doi":"10.1016/j.jrras.2025.101646","DOIUrl":"10.1016/j.jrras.2025.101646","url":null,"abstract":"<div><h3>Introduction</h3><div>Although regional nodal irradiation (RNI) increases the radiation dose to the shoulder and may lead to functional limitations, the relationship between shoulder volume doses and morbidity remains unclear. This study examines the impact of breast cancer radiotherapy on shoulder function and explores dose-volume correlations with complications.</div></div><div><h3>Methods</h3><div>In this prospective cohort study, breast cancer patients receiving RNI through 3D conformal radiation therapy (3DCRT) were evaluated. Baseline assessments were conducted before radiotherapy, with follow-ups at least six months post-treatment. Evaluations included the q-DASH questionnaire, shoulder range of motion (ROM) assessments, and shoulder muscle strength measurements. Radiation doses to the shoulder were calculated using the treatment planning system. Dose-volume relationships with shoulder function were analyzed.</div></div><div><h3>Results</h3><div>A total of 50 patients were included with a median follow-up of 9 months (range 8–12 months). Radiotherapy with RNI resulted in statistically significant decreases in shoulder external rotation (mean difference: 2.76°, p = 0.011) and abduction ROM (mean difference: 6.70°, p = 0.004).</div><div>Mean shoulder volume-dose percentages for 5, 10, 20, 30, 40, 47.5, and 50 Gy were 85.18 %, 81.14 %, 75.11 %, 65.58 %, 22.57 %, 24.58 %, and 14.08 %, respectively. However, increased shoulder volume doses were not associated with worsening ROM in any movement. No significant differences in volume doses were observed between patients with significant versus non-significant ROM reductions (p &gt; 0.05).</div></div><div><h3>Conclusion</h3><div>This study found that breast cancer radiotherapy using 3DCRT had minimal impact on shoulder function, with no significant relationship between shoulder volume doses and mobility or strength limitations. Shoulder complications were more likely related to surgical interventions than radiotherapy. Further studies are needed to clarify the impact of radiotherapy on shoulder morbidity.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 3","pages":"Article 101646"},"PeriodicalIF":1.7,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144170231","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}

{"title":"MNR2NeXt-50: Segmentation and quantification of epicardial fat from cardiac CT images using transfer learning with an optimized ensemble model","authors":"S. Jasmine,&nbsp;P. Marichamy","doi":"10.1016/j.jrras.2025.101648","DOIUrl":"10.1016/j.jrras.2025.101648","url":null,"abstract":"<div><div>Excessive epicardial adipose tissue (EAT) presents a significant risk for cardiac issues. The level of EAT can be assessed using CT images of the heart. Machine learning and deep learning techniques are available to quantify EAT through the segmentation and analysis of CT images automatically. These techniques require precise segmentation and faster processing. This study proposes a hybrid method that combines the ResNeXt-50 deep learning model with Naïve Bayes-based ensemble learning and Manta Ray Foraging Optimization (MRFO) to enhance the segmentation process. Various Naïve Bayes ensemble configurations, such as Random Forest, AdaBoost, XGBoost, Extra Trees, CatBoost, and Generalized Linear Model were analysed to identify the optimal configuration. The techniques were evaluated on images with resolutions of 128 × 128, 256 × 256, and 512 × 512 pixels using metrics including accuracy, precision, recall, Dice score, and processing time. These models were trained and validated with a dataset having 878 CT slices from 20 patient scans, utilizing an 80-20 train-test split and five-fold cross-validation for robustness. Among the tested configurations, the Naïve Bayes with Random Forest ensemble (MNR²NeXt-50) demonstrated better performance, yielding an accuracy of 98.88 %, a Dice score of 98.79 %, and a processing time of 1.25 s per image for 512 × 512 pixels at 5-fold cross-validation. Further, compared to other existing methods, the MNR²NeXt-50 shows improvements in accuracy (0.12 %–12.88 %), Dice score (0.06 %–31.59 %), and processing time (1.152–1504 times faster). Future efforts will focus on clinical validation, expanding the dataset through multi-center collaborations, exploring integration with multi-modal imaging, and investigating the association between EAT and other clinical indicators to facilitate broader clinical adoption.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 3","pages":"Article 101648"},"PeriodicalIF":1.7,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144147432","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}

{"title":"WuMei-pill alleviates Parkinson's disease induced by dopamine neuron damage in mice by regulating the gut-brain-microbiome axis","authors":"Zuowen Zhang ,&nbsp;Lan Shen ,&nbsp;Yinyou Bai ,&nbsp;Shishuang Li ,&nbsp;Shumei Wang","doi":"10.1016/j.jrras.2025.101632","DOIUrl":"10.1016/j.jrras.2025.101632","url":null,"abstract":"<div><h3>Objective</h3><div>To investigate the protective effects and the ways WuMei-Pill (WMP) work on Parkinson's disease (PD), focusing on its ability to restore the PD-induced gut microbiota imbalance and elucidate the underlying mechanisms.</div></div><div><h3>Methods</h3><div>This study employed LPS-induced inflammation BV2 cells and a PD mouse model induced by 6-OHDA to explore the treatment of WMP. A series of assessments were performed, encompassing behavioral evaluations, immunohistochemistry, Western blot, and ELISA, to evaluate the neuroprotective effect of WMP on PD. Fecal and brain samples were collected for microbiome and transcriptome analysis.</div></div><div><h3>Results</h3><div>WMP effectively reverses LPS-induced inflammation in BV2 cells. Based on PD mouse model, WMP treatment elevated neurological motor function (evidenced by reduced pole descent time and increased rotarod performance), increased the number of TH + cells, and brain dopamine levels. Microbiome dysbiosis correlates with exacerbated PD symptoms in the 6-OHDA model. 6-OHDA-induced dopaminergic neuronal damage was connected to an increase in pro-inflammatory bacteria (Bacteroides), bacteria involved in tryptophan metabolism (Azospirillum_sp.47_25 and unclassified Bacteroidia) and cholesterol metabolism, while the number of anti-inflammatory bacteria (Roseburia) was reduced. We also found changes in key brain metabolites, including L-tryptophan and Bambuterol. WMP normalized L-tryptophan levels, a precursor of neurotoxic kynurenine metabolites implicated in PD progression.</div></div><div><h3>Conclusion</h3><div>Dopaminergic neuron damage-induced microbiome dysbiosis worsen Parkinson's disease symptoms. WMP restores gut microbiota composition by reducing pro-inflammatory <em>Bacteroides</em> and upregulating anti-inflammatory <em>Roseburia</em>, while modulating L-tryptophan metabolism, thereby mitigating dopaminergic neuron loss.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 3","pages":"Article 101632"},"PeriodicalIF":1.7,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144138284","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}

{"title":"The diagnostic and monitoring value of middle cerebral artery Doppler ultrasound in types of fetal anemia","authors":"Bin Nian ,&nbsp;GuoJie Zhang ,&nbsp;Hongmei Shen ,&nbsp;Yihua Gao ,&nbsp;Haidong Xu ,&nbsp;Dahai Xu ,&nbsp;Ge Tong","doi":"10.1016/j.jrras.2025.101585","DOIUrl":"10.1016/j.jrras.2025.101585","url":null,"abstract":"<div><h3>Background</h3><div>Fetal anemia is a serious prenatal condition associated with impaired fetal growth and survival. Timely and non-invasive diagnostic options are needed for early detection and monitoring. This study aims to assess the diagnostic and monitoring capabilities of middle cerebral artery (MCA) Doppler ultrasound in the setting of varying causes and severity of fetal anemia.</div></div><div><h3>Methods</h3><div>We performed a retrospective review of the medical records of 109 fetuses who had prenatal diagnostics at our hospital from October 2021 to October 2023. Eligible cases were categorized into a range of groups: ABO, thalassemia, mild, moderate, and severe anemia. All underwent MCA Doppler ultrasonography, and the end-diastolic velocity (EDV), peak systolic velocity (PSV), resistance index (RI), and pulsatility index (PI) measurements were collected. The fetal and severe anemia diagnostic performance was measured using receiver operating characteristic (ROC) curves.</div></div><div><h3>Results</h3><div>EDV, PI, and RI did not differ significantly between the anemia and healthy groups (P &gt; 0.05). However, PSV was significantly higher in the anemia group (P &lt; 0.05). The area under the curve (AUC) for PSV in diagnosing fetal anemia was 0.835 (P &lt; 0.05). PSV was also significantly higher than controls in both the ABO and thalassemia groups (P &lt; 0.05), but there was no difference in EDV, PI, or RI (P &gt; 0.05). The increase in PSV values demonstrated a positive correlation with the increasing severity of anemia. For identification of severe anemia, the AUC of PSV was 0.769 (P &lt; 0.05).</div></div><div><h3>Conclusion</h3><div>The MCA Doppler ultrasound, especially the PSV measurement, is a safe and effective method of diagnosis and evaluation for fetal anemia. Its use in practice is valuable in prompting timely intervention and improving fetal outcomes. More multicenter studies with larger sample sizes are warranted to verify our results and facilitate more widespread clinical practice use.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 3","pages":"Article 101585"},"PeriodicalIF":1.7,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144147431","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}

{"title":"Enhanced estimation for distribution function using auxiliary variable: Application with radiation data","authors":"Mohammed Nasser Alshahrani ,&nbsp;Bassant Elkalzah","doi":"10.1016/j.jrras.2025.101634","DOIUrl":"10.1016/j.jrras.2025.101634","url":null,"abstract":"<div><div>In order to get the best possible results from survey sampling, auxiliary information is essential for estimating population parameters like mean, variance, distribution function, and so on. In this article we develop an improved estimator for estimation of population distribution function (DF). The newly developed estimator leverage auxiliary information under simple random sampling method. The proposed estimators have been thoroughly evaluated using metrics such as percentage relative efficiency and mean square error, which show that they are useful in the estimating process. Empirical validation is accomplished using radiation datasets. We compared our developed estimator with ratio, product, traditional regression estimators, and other well-known estimators that have been investigated in the existing literature. Based on the numerical results, it is demonstrated that our proposed estimator perform better in terms of minimum mea squared error and higher PREs. The findings have important implications for both the evolution of survey sampling techniques and mathematical modeling classified radiation data sets.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 3","pages":"Article 101634"},"PeriodicalIF":1.7,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144138282","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}

{"title":"Application value of single-shot excitation fast scanning sequence in the diagnosis of mediastinal and pulmonary hilum masses: A retrospective study","authors":"Jincai Wang ,&nbsp;Hongxian Cui ,&nbsp;Jun Duan ,&nbsp;Ling Guo ,&nbsp;Xiuzhong Wang ,&nbsp;Ning Liu ,&nbsp;Wenwen Pang","doi":"10.1016/j.jrras.2025.101621","DOIUrl":"10.1016/j.jrras.2025.101621","url":null,"abstract":"<div><h3>Purpose</h3><div>To investigate the application value of the single-shot excitation fast scanning (HASTE) sequence in the diagnosis of mediastinal and pulmonary hilum masses using MRI.</div></div><div><h3>Methods</h3><div>This study was a retrospective analysis. Clinical data of 95 patients who underwent MR examination of the mediastinum and pulmonary hilum in our hospital and our hospital's national regional medical center from October 2021 to June 2024 were collected. All patients underwent multi-slice spiral CT enhanced scanning before MR examination, and the sequence used was the HASTE sequence. The imaging characteristics of MR diagnosis of mediastinal and pulmonary hilum masses were analyzed. Using pathological results as the gold standard, the diagnostic performance of multi-slice spiral CT enhanced scanning, MR HASTE sequence, and combined multi-slice spiral CT enhanced scanning with MR HASTE sequence were analyzed and compared.</div></div><div><h3>Results</h3><div>Ninety-five patients were punctured to obtain 95 masses, with a puncture success rate of 100.0 %. Pathological results showed that among the 95 patients, there were 65 cases of malignant lesions and 30 cases of benign lesions. Using pathological results as the gold standard, the sensitivity of MR + MSCT enhanced examination in diagnosing the benign and malignant nature of pulmonary hilum or mediastinal tumors was 87.69 % (57/65), specificity was 86.67 % (26/30), positive predictive value was 93.44 % (57/61), negative predictive value was 76.47 % (26/34), and accuracy was 87.37 % (83/95). The consistency K value with pathological results was 0.718, indicating good consistency between MR + MSCT enhanced examination and pathological diagnosis. The sensitivity of MSCT enhanced scanning in diagnosing the benign and malignant nature of pulmonary hilum or mediastinal tumors was 73.85 % (48/65), specificity was 70.00 % (21/30), positive predictive value was 84.21 % (48/57), negative predictive value was 55.26 % (21/38), and accuracy was 72.63 % (69/95). The consistency K value with pathological results was 0.409, indicating moderate consistency between MSCT enhanced scanning and pathological diagnosis. ROC curve analysis results showed that the area under the curve (AUC) of MR combined with multi-slice spiral CT enhanced scanning and MSCT enhanced diagnosis of pulmonary hilum or mediastinal masses were 0.895 (95 % CI: 0.8400.950) and 0.817 (95 % CI: 0.7470.886), respectively. The sensitivity and specificity of MR combined with multi-slice spiral CT enhanced scanning in diagnosing pulmonary hilum or mediastinal masses were the highest (P &lt; 0.001).</div></div><div><h3>Conclusion</h3><div>MR HASTE sequence combined with multi-slice spiral CT enhanced scanning has good application value in distinguishing the benign and malignant nature of pulmonary hilum or mediastinal masses, and has better consistency with pathological results.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 3","pages":"Article 101621"},"PeriodicalIF":1.7,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144138281","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}

{"title":"Value of ultrasound ultramicro-flow imaging in detecting fingertip microflow for the evaluation of microcirculation in sepsis patients","authors":"Qing Li ,&nbsp;Jinzhuo Yue ,&nbsp;Jie Zhao ,&nbsp;Dong Chen ,&nbsp;Yongxia Wu ,&nbsp;Jinbai Huang","doi":"10.1016/j.jrras.2025.101597","DOIUrl":"10.1016/j.jrras.2025.101597","url":null,"abstract":"<div><h3>Objective</h3><div>To investigate the utility of ultrasound ultramicro-flow imaging in detecting fingertip microcirculation in patients with sepsis and septic shock.</div></div><div><h3>Methods</h3><div>From November 2022 to December 2023, 41 patients with sepsis, 21 with septic shock, and 62 with severe illness but without sepsis (control group) were enrolled. Ultrasound ultramicro-flow imaging of the fingertips was conducted on the 1st, 2nd, and 3rd days post-admission to assess fingertip ultramicrovascular density. Simultaneously, arterial blood lactate (LAC) concentrations were measured. The Sequential Organ Failure Assessment (SOFA) scores and 28-day mortality rates were also documented. The ultramicrovascular indices, along with SOFA scores, LAC concentrations, and 28-day mortality rates, were compared across the three groups. Correlations were analyzed between fingertip ultramicrovascular indices and SOFA scores, LAC concentrations, and 28-day mortality.</div></div><div><h3>Results</h3><div>Fingertip ultramicrovascular density was significantly lower in sepsis and septic shock groups than in controls (P &lt; 0.05). The septic shock group exhibited reduced ultramicrovascular density relative to the sepsis group (P &lt; 0.05). A strong negative correlation was found between ultramicrovascular density and clinical indicators, including SOFA scores, LAC concentrations, and 28-day mortality rates. Lower ultramicrovascular density was associated with higher SOFA scores and increased lactate levels, underscoring its prognostic value in sepsis and septic shock.</div></div><div><h3>Conclusion</h3><div>Ultrasound ultramicro-flow imaging accurately assesses microcirculation in sepsis and septic shock, correlating closely with organ dysfunction and prognosis, making it a valuable tool for evaluating sepsis severity.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 3","pages":"Article 101597"},"PeriodicalIF":1.7,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144138283","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}