SLAS Technology最新文献

{"title":"Machine-learning models for diagnosis of rotator cuff tears in osteoporosis patients based on anteroposterior X-rays of the shoulder joint","authors":"","doi":"10.1016/j.slast.2024.100149","DOIUrl":"10.1016/j.slast.2024.100149","url":null,"abstract":"<div><h3>Objective</h3><p>This study aims to diagnose Rotator Cuff Tears (RCT) and classify the severity of RCT in patients with Osteoporosis (OP) through the analysis of shoulder joint anteroposterior (AP) X-ray-based localized proximal humeral bone mineral density (BMD) measurements and clinical information based on machine learning (ML) models.</p></div><div><h3>Methods</h3><p>A retrospective cohort of 89 patients was analyzed, including 63 with both OP and RCT (OPRCT) and 26 with OP only. The study analyzed a series of shoulder radiographs from April 2021 to April 2023. Grayscale values were measured after plotting ROIs based on AP X-rays of shoulder joint. Five kinds of ML models were developed and compared based on their performance in predicting the occurrence and severity of RCT from ROIs' greyscale values and clinical information (age, gender, advantage side, lumbar BMD, and acromion morphology (AM)). Further analysis using SHAP values illustrated the significant impact of selected features on model predictions.</p></div><div><h3>Results</h3><p>R1-6 had a positive correlation with BMD respectively. The nine variables, including greyscale R1-6, age, BMD, and AM, were used in the prediction models. The RF model was determined to be superior in effectively diagnosing RCT in OP patients, with high AUC scores of 0.998, 0.889, and 0.95 in the training, validation, and testing sets, respectively. SHAP values revealed that the most influential factors on the diagnostic outcomes were the grayscale values of all cancellous bones in ROIs. A column-line graph prediction model based on nine variables was constructed, and DCA curves indicated that RCT prediction in OP patients was favored based on this model. Furthermore, the RF model was also the most superior in predicting the types of RCT within the OPRCT group, with an accuracy of 86.364% and 73.684% in the training and test sets, respectively. SHAP values indicated that the most significant factor affecting the predictive outcomes was the AM, followed by the grayscale values of the greater tubercle, among others.</p></div><div><h3>Conclusions</h3><p>ML models, particularly the RF algorithm, show significant promise in diagnosing RCT occurrence and severity in OP patients using conventional shoulder X-rays based on the nine variables. This method presents a cost-effective, accessible, and non-invasive diagnostic strategy that has the potential to substantially enhance the early detection and management of RCT in OP patient population.</p></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"29 4","pages":"Article 100149"},"PeriodicalIF":2.5,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2472630324000311/pdfft?md5=022b68de18ad559850e709914c5cc2e9&pid=1-s2.0-S2472630324000311-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141139837","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":"DirectedCHO: A new miniaturized directed evolution process for phenotype stability trial test of CHO cells before bioreactor scale-up","authors":"","doi":"10.1016/j.slast.2024.100130","DOIUrl":"10.1016/j.slast.2024.100130","url":null,"abstract":"<div><p>Most of the biopharmaceuticals that are currently on the market are expressed using the Chinese Hamster Ovary (CHO) cell lines. However, the production yield of these biopharmaceuticals is affected due to CHO cellular heterogeneity and challenges in adaptability during the bioreactor scale-up stage. In this communication, we report the protocol for the miniaturized directed evolution process for CHO cells. The results of the directed evolution process would guide adapting the CHO cell line before bioreactor scale-up. With our approach, we have established the protocol that can be used to streamline superior CHO cell lines for biopharmaceutical production which would be the first of its kind in Africa. Our directed evolution protocol includes a method for a low-cost multiplex directed evolution process that can be used on CHO cells using 20 stressors in 8 concentrations and provides stable trial results for the scale-up process. Using our process, we can provide a simple consumable kit that manufacturers can use for the CHO cell phenotype stability test before the scale-up process. With our approach, we would further develop a platform that can streamline superior CHO cell lines for biopharmaceutical production. This approach would be the first of its kind in South Africa/ Africa.</p></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"29 4","pages":"Article 100130"},"PeriodicalIF":2.5,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2472630324000128/pdfft?md5=06022e9dd293c49916c807ff2a563a79&pid=1-s2.0-S2472630324000128-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140337651","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":"Abnormal genes and pathways that drive muscle contracture from brachial plexus injuries: Towards machine learning approach","authors":"Dong-Sheng Fu,&nbsp;Alimujiang Adili,&nbsp;Xuan Chen,&nbsp;Jian-Zhu Li,&nbsp;Aikeremu Muheremu","doi":"10.1016/j.slast.2024.100166","DOIUrl":"10.1016/j.slast.2024.100166","url":null,"abstract":"<div><p>In order to clarify the pathways closely linked to denervated muscle contracture, this work uses IoMT-enabled healthcare stratergies to examine changes in gene expression patterns inside atrophic muscles following brachial plexus damage. The gene expression Omnibus (GEO) database searching was used to locate the dataset GSE137606, which is connected to brachial plexus injuries. Strict criteria (|logFC|≥2 &amp; adj.<em>p</em> &lt; 0.05) were used to extract differentially expressed genes (DEGs). To identify dysregulated activities and pathways in denervated muscles, gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, and Gene Set Enrichment Analysis (GSEA) were used. Hub genes were found using Cytoscape software's algorithms, which took into account parameters like as proximity, degree, and MNC. Their expression, enriched pathways, and correlations were then examined. The results showed that 316 DEGs were predominantly concentrated in muscle-related processes such as tissue formation and contraction pathways. Of these, 297 DEGs were highly expressed in denervated muscles, whereas 19 DEGs were weakly expressed. GSEA showed improvements in the contraction of striated and skeletal muscles. In addition, it was shown that in denervated muscles, Myod1, Myog, Myh7, Myl2, Tnnt2, and Tnni1 were elevated hub genes with enriched pathways such adrenergic signaling and tight junction. These results point to possible therapeutic targets for denervated muscular contracture, including Myod1, Myog, Myh7, Myl2, Tnnt2, and Tnni1. This highlights treatment options for this ailment which enhances the mental state of patient.</p></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"29 4","pages":"Article 100166"},"PeriodicalIF":2.5,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2472630324000487/pdfft?md5=c3f69273988f22860e860cc67b0b2519&pid=1-s2.0-S2472630324000487-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141735656","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":"Nanoengineered therapeutic strategies targeting SNHG1 for mitigating microglial ischemia-reperfusion injury implications for hypoxic-ischemic encephalopathy","authors":"Li Bao ,&nbsp;Mingzhi Chen ,&nbsp;Biao Dai ,&nbsp;Yong Lei ,&nbsp;Dani Qin ,&nbsp;Mengke Cheng ,&nbsp;Wei Song ,&nbsp;Wenxia He ,&nbsp;Bingyu Chen ,&nbsp;Huiping Shen","doi":"10.1016/j.slast.2024.100167","DOIUrl":"10.1016/j.slast.2024.100167","url":null,"abstract":"<div><p>The purpose of this work is to investigate the function of SNHG1, a long non-coding RNA implicated in disease progression, apoptosis, and proliferation, in order to solve the problem of hypoxic-ischemic encephalopathy (HIE) in newborn care. We investigated the impact of overexpressing SNHG1 on hypoxia-induced apoptosis and studied its expression in BV2 microglial cells under hypoxic circumstances. As a result of modifying YY1 expression, SNHG1′s overexpression prevents apoptosis, as our data demonstrate that it is considerably downregulated under hypoxia. We demonstrate that SNHG1 might potentially reduce microglial ischemia-reperfusion damage by using sophisticated nanoengineering drug delivery technologies to target it. This provides encouraging information for the therapy of ischemic epilepsy.</p></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"29 4","pages":"Article 100167"},"PeriodicalIF":2.5,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2472630324000499/pdfft?md5=b6499196650522605674934431ec7f3b&pid=1-s2.0-S2472630324000499-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141753383","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":"GSEA analysis identifies potential drug targets and their interaction networks in coronary microcirculation disorders","authors":"","doi":"10.1016/j.slast.2024.100152","DOIUrl":"10.1016/j.slast.2024.100152","url":null,"abstract":"<div><p>Coronary microcirculation dysfunction (CMD) is one of the main causes of cardiovascular disease. Traditional treatment methods lack specificity, making it difficult to fully consider the differences in patient conditions and achieve effective treatment and intervention. The complexity and diversity of CMD require more standardized diagnosis and treatment plans to clarify the best treatment strategy and long-term outcomes. The existing treatment measures mainly focus on symptom management, including medication treatment, lifestyle intervention, and psychological therapy. However, the efficacy of these methods is not consistent for all patients, and the long-term efficacy is not yet clear. GSEA is a bioinformatics method used to interpret gene expression data, particularly for identifying the enrichment of predefined gene sets in gene expression data. In order to achieve personalized treatment and improve the quality and effectiveness of interventions, this article combined GSEA (Gene Set Enrichment Analysis) technology to conduct in-depth research on potential drug targets and their interaction networks in coronary microcirculation dysfunctions. This article first utilized the Coremine medical database, GeneCards, and DrugBank public databases to collect gene data. Then, filtering methods were used to preprocess the data, and GSEA was used to analyze the preprocessed gene expression data to identify and calculate pathways and enrichment scores related to CMD. Finally, protein sequence features were extracted through the calculation of autocorrelation features. To verify the effectiveness of GSEA, this article conducted experimental analysis from four aspects: precision, receiver operating characteristic (ROC) curve, correlation, and potential drug targets, and compared them with Gene Regulatory Networks (GRN) and Random Forest (RF) methods. The results showed that compared to the GRN and RF methods, the average precision of GSEA improved by 0.11. The conclusion indicated that GSEA helped identify and explore potential drug targets and their interaction networks, providing new ideas for personalized quality of CMD.</p></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"29 4","pages":"Article 100152"},"PeriodicalIF":2.5,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2472630324000347/pdfft?md5=eaec49610b6a4a767e019d46b86dde3b&pid=1-s2.0-S2472630324000347-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141187002","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":"Meta-analysis of gut microbiota biodiversity in patients with polycystic ovary syndrome based on medical images","authors":"Baimiao Wang,&nbsp;Lanyawen Hu,&nbsp;Panpan Dong","doi":"10.1016/j.slast.2024.100178","DOIUrl":"10.1016/j.slast.2024.100178","url":null,"abstract":"<div><p>PCOS is thought to be associated with metabolic disorders, endocrine disorders, and reproductive system problems. By collecting relevant literature and conducting meta-analyses, we integrated data from multiple studies to enhance the reliability of the analysis results. Studies with medical image data were selected to ensure the accuracy and credibility of the studies. A statistical framework was employed to examine the biodiversity indicators associated with the gut microbiota. These findings provide robust support for the notion that PCOS is intricately linked to notable alterations within the gut microbial community. The utilization of a statistical approach and the systematic synthesis of research findings in this meta-analysis contribute to a more comprehensive understanding of the substantial impact of PCOS on the gut microbiota landscape. PCOS patients showed significant changes in the relative abundance of certain bacteria in their gut microbiota. This imbalance will lead to the instability of intestinal microecological environment, and then affect the health of the body.</p></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"29 4","pages":"Article 100178"},"PeriodicalIF":2.5,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2472630324000608/pdfft?md5=f80af89dac538403a7f82db0ea041700&pid=1-s2.0-S2472630324000608-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142005864","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":"Evalution of neurodiagnostic insights for enhanced evaluation and optimization of badminton players' physical function via data mining technique","authors":"","doi":"10.1016/j.slast.2024.100138","DOIUrl":"10.1016/j.slast.2024.100138","url":null,"abstract":"<div><p>This research presents a novel method for objectively evaluating college badminton players' physical function levels. It examines current evaluation methods before proposing a novel model that combines Particle Swarm Optimization (PSO) with Backpropagation (BP) neural networks and data mining. The model establishes an evaluation index system that considers physical form, function, quality, and neural mechanisms. The study uses PSO-BP neural networks to adjust indicator weights for more accurate ratings. This recurrent improvement reduces errors while increasing prediction ability, resulting in accurate assessments of athletes' physical talents and neurological insights. The model's efficiency is proved by low mistakes and high accuracy results, which are critical for training optimization and injury avoidance. The combination of PSO optimization and BP neural networks offers robustness across various athlete profiles and training scenarios. This method improves physical function evaluation in badminton and has wider implications for sports science and performance analytics. This study uses bio-inspired computing and machine learning to emphasize the relevance of data-driven techniques in enhancing athlete assessments for better training outcomes and general well-being.</p></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"29 4","pages":"Article 100138"},"PeriodicalIF":2.5,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2472630324000207/pdfft?md5=9ff2e646802f67df9702dfb4603a9857&pid=1-s2.0-S2472630324000207-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140872661","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":"Importance of computed tomography perfusion on assessing collateral circulation and prognosis of patients with acute anterior circulation large vessel occlusion after endovascular therapy","authors":"","doi":"10.1016/j.slast.2024.100139","DOIUrl":"10.1016/j.slast.2024.100139","url":null,"abstract":"<div><p>This study probed the importance of computed tomography perfusion (CTP) on assessing collateral circulation and prognosis in patients with acute anterior circulation large vessel occlusion (AAC-LVO) after endovascular therapy (EVT). Retrospective analysis was performed on the case data of 124 AAC-LVO patients who achieved EVT in the First People's Hospital of Lianyungang. All patients received computed tomography (CT) examination. Based on the multi-phase computed tomography angiography (mCTA) score, patients were separated into poor collateral circulation group and good collateral circulation group. Based on modified Rankin scale (mRS) score, patients were separated into good prognosis group and poor prognosis group. The receiver operating characteristic (ROC) curve was used to measure the efficacy of CTP parameters in predicting good collateral circulation or good prognosis. Correlation between CTP parameters with mCTA collateral and 90-day mRS circulation score was analyzed using the Spearman correlation analysis. The age and admission national Institutes of Health stroke scale (NIHSS) scores of the good collateral circulation group were lower than the poor collateral circulation group, and low perfusion area volume with Tmax &gt; 6 s (V_Tmax&gt;6 s), infarct core area volume (V_{CBF&lt;30 %})and hypoperfusion intensity ratio (HIR) were also lower. The mCTA collateral cycle score was negatively related to V_Tmax&gt;6 _s, V_{CBF&lt;30 %} and HIR. The area under the curve (AUC) values of V_Tmax&gt;6 _s and V_{CBF&lt;30 %} and HIR for predicting good collateral circulation were 0.763, 0.884 and 0.842, respectively, which suggested that perfusion parameters V_Tmax&gt;6 _s, V_{CBF&lt;30 %} and HIR could effectively indicate the status of patients’ collateral circulation. Relative to the poor prognosis group, patients in the good prognosis group possessed lower admission NIHSS score, younger age, smaller final infarct volume, lower HIR, V_{CBF&lt;30 %}, V_Tmax&gt;6 s, Alberta Stroke Program Early CT(ASPECT) score, and higher mCTA score. Spearman correlation analysis unveiled that ASPECT score, mCTA score and 90-day mRS were negatively correlated. The final infarct volume, perfusion parameters HIR and V_{CBF&lt;30 %} were positively correlated with 90-day mRS. ROC analysis showed that all variates had good prognostic value for acute anterior circulation great vessel occlusion patients, while V_{CBF&lt;30 %} and HIR had high diagnostic value for prognosis. To sum up, CTP can provide a comprehensive imaging assessment of the collateral circulation of patients with AAC-LVO and has a higher predictive value for the prognosis assessment of patients with EVT in terms of V_{CBF&lt;30 %}, HIR score and mCTA collateral circulation score.</p></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"29 4","pages":"Article 100139"},"PeriodicalIF":2.5,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2472630324000219/pdfft?md5=25e5bbf92ebd1c5c87da5d13c3381bd6&pid=1-s2.0-S2472630324000219-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140908955","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":"Artificial intelligence probabilities scheme for disease prevention data set construction in intelligent smart healthcare scenario","authors":"B. RaviKrishna ,&nbsp;Mohammed E. Seno ,&nbsp;Mohan Raparthi ,&nbsp;Ramswaroop Reddy Yellu ,&nbsp;Shtwai Alsubai ,&nbsp;Ashit Kumar Dutta ,&nbsp;Abdul Aziz ,&nbsp;Dilora Abdurakhimova ,&nbsp;Jyoti Bhola","doi":"10.1016/j.slast.2024.100164","DOIUrl":"10.1016/j.slast.2024.100164","url":null,"abstract":"<div><p>In the face of an aging population, smart healthcare services are now within reach, thanks to the proliferation of high-speed internet and other forms of digital technology. Data problems in smart healthcare, unfortunately, put artificial intelligence in this area to serious limitations. There are several issues, including a lack of standard samples, noisy data interference, and actual data that is missing. A three-stage AI-based data generating strategy is suggested to handle missing datasets, using a small sample dataset obtained from a smart healthcare program community in a specific city: Step one involves generating the dataset's basic attributes using a tree-based generation strategy that takes the original data distribution into account. Step two involves using the Naive Bayes algorithm to create basic indicators of behavioural capability assessment for the samples. Step three builds on stage two and uses a multivariate linear regression method to create evaluation criteria and indicators of high-level behavioural capability. Six problems involving multiple classifications and two tasks using multiple labels are implemented using various neural network-based training strategies on the obtained data to assess the usefulness of the dataset for downstream tasks. To ensure that the data collected is genuine and useful, the experimental data must be analysed and expert knowledge must be included.</p></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"29 4","pages":"Article 100164"},"PeriodicalIF":2.5,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2472630324000463/pdfft?md5=f8316f4fd44b37527e1ee27a4fddf8d9&pid=1-s2.0-S2472630324000463-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141735657","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":"Diagnostic and prognostic value of independent and combined detection of computed tomography, ultrasound, and positron emission tomography - computed tomography in lymphoma","authors":"Lihong Shi ,&nbsp;Haihua Hu","doi":"10.1016/j.slast.2024.100165","DOIUrl":"10.1016/j.slast.2024.100165","url":null,"abstract":"<div><p>Lymphoma is a malignant tumor originating from the lymphopoietic system, which can affect all tissues and organs of the body. Lymphoma is highly heterogeneous and the therapeutic effect varies greatly. Different pathological types and stages of lymphoma differ greatly in terms of treatment intensity and prognosis. Early diagnosis of lymphoma is very important to improve the prognosis of patients. Therefore, this work explored the diagnostic value of independent and combined detection of computed tomography (CT), ultrasound, and positron emission tomography - computed tomography (PET-CT) for lymphoma. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) in the PET-CT and combination groups were greatly higher than those in the CT and ultrasound groups, showing obvious differences (<em>P</em> &lt; 0.05). The area under curve (AUC) values in the CT group, ultrasound group, PET-CT group, and combination group were 0.632 (<em>P</em> = 0.032), 0.614 (<em>P</em> = 0.025), 0.793 (<em>P</em> = 0.002), and 0.859 (<em>P</em> = 0.001), respectively, exhibiting observable differences (<em>P</em> &lt; 0.05). the sensitivity and specificity of PET/CT for lymphoma were higher than those of CT and ultrasound, which can clearly show the early mild results of lymphatic lymphoma. Therefore, the combined diagnosis of lymphatic lymphoma with PET/CT was of high clinical value.</p></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"29 4","pages":"Article 100165"},"PeriodicalIF":2.5,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2472630324000475/pdfft?md5=200a961b0bd4fae6c153982fe5b92685&pid=1-s2.0-S2472630324000475-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141749686","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}