Quantitative Imaging in Medicine and Surgery最新文献

{"title":"A multi-scale pyramid residual weight network for medical image fusion.","authors":"Yiwei Liu, Shaoze Zhang, Yao Tang, Xihai Zhao, Zuo-Xiang He","doi":"10.21037/qims-24-851","DOIUrl":"10.21037/qims-24-851","url":null,"abstract":"<p><strong>Background: </strong>Due to the inherent limitations of imaging sensors, acquiring medical images that simultaneously provide functional metabolic information and detailed structural organization remains a significant challenge. Multi-modal image fusion has emerged as a critical technology for clinical diagnosis and surgical navigation, as it enables the integration of complementary information from different imaging modalities. However, existing deep learning (DL)-based fusion methods often face difficulties in effectively combining high-frequency detail information with low-frequency contextual information, which frequently leads to the degradation of high-frequency details. Therefore, there is a pressing need for a method that addresses these challenges, preserving both high- and low-frequency information while maintaining clear structural contours. In response to this issue, a novel convolutional neural network (CNN), named the multi-scale pyramid residual weight network (LYWNet), is proposed. The objective of this approach is to improve the fusion process by effectively integrating high- and low-frequency information, thereby enhancing the quality and accuracy of multimodal image fusion. This method aims to overcome the limitations of current fusion techniques and ensure the preservation of both functional and structural details, ultimately contributing to more precise clinical diagnoses and better surgical navigation outcomes.</p><p><strong>Methods: </strong>We propose a novel CNN, LYWNet, designed to address these challenges. LYWNet is composed of three modules: (I) data preprocessing module: utilizes three convolutional layers to extract both deep and shallow features from the input images. (II) Feature extraction module: incorporates three identical multi-scale pyramid residual weight (LYW) blocks in series, each featuring three interactive branches to preserve high-frequency detail information effectively. (III) Image reconstruction module: utilizes a fusion algorithm based on feature distillation to ensure the effective integration of functional and anatomical information. The proposed image fusion algorithm enhances the interaction of contextual cues and retains the metabolic details from functional images while preserving texture details from anatomical images.</p><p><strong>Results: </strong>The proposed LYWNet demonstrated its ability to retain high-frequency details during feature extraction, effectively combining them with low-frequency contextual information. The fusion results exhibited reduced differences between the fused image and the original images. The structural similarity (SSIM) and peak signal-to-noise ratio (PSNR) were 0.5592±0.0536 and 17.3594±1.0211, respectively, for single-photon emission computed tomography-magnetic resonance imaging (SPECT-MRI), 0.5195±0.0730 and 14.5324±1.7365 for PET-MRI; 0.5376±0.0442 and 13.9202±0.7265 for magnetic resonance imaging-computed tomography.</p><p><strong>Conclusions: ","PeriodicalId":54267,"journal":{"name":"Quantitative Imaging in Medicine and Surgery","volume":"15 3","pages":"1793-1821"},"PeriodicalIF":2.9,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11948399/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143755911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Connectomics modeling of regional networks of white-matter fractional anisotropy to predict the severity of young adult drinking.","authors":"Yashuang Li, Guangfei Li, Lin Yang, Yan Yan, Ning Zhang, Mengdi Gao, Dongmei Hao, Yiyao Ye-Lin, Chiang-Shan R Li","doi":"10.21037/qims-24-2131","DOIUrl":"10.21037/qims-24-2131","url":null,"abstract":"<p><strong>Background: </strong>Alcohol use impacts brain structure, including white matter integrity, which can be quantified by fractional anisotropy (FA) in diffusion tensor imaging (DTI). This study explored the relationship between the severity of alcohol consumption and white matter FA changes, and its sex differences, in young adults, using data from the Human Connectome Project.</p><p><strong>Methods: </strong>We analyzed DTI data from 949 participants (491 females) and used principal component analysis (PCA) of 15 drinking metrics to quantify drinking severity. Connectome-based predictive modeling (CPM) was employed to predict the principal component of drinking severity from network FA values in a matrix of 116×116 regions. Mediation analyses were conducted to explore the interrelationships among networks identified by CPM, drinking severity, and rule-breaking behavior.</p><p><strong>Results: </strong>Significant correlations were found between drinking severity and network FA values. Both men and women showed significant correlations between negative network connectivity and drinking severity (men: r=0.15, P=0.001; women: r=0.30, P<0.001). Sex differences were observed in the brain regions contributing to drinking severity predictions. Mediation analyses revealed significant inter-relationships between network features, drinking severity, and rule-breaking behavior.</p><p><strong>Conclusions: </strong>The connectomics of white matter FA can predict the severity of alcohol consumption, and by incorporating brain network pathways, identify sex differences. This approach provides new clues to the biological basis of alcohol abuse and evaluates how these regions interact in broader brain networks for understanding alcohol misuse and its comorbidities.</p>","PeriodicalId":54267,"journal":{"name":"Quantitative Imaging in Medicine and Surgery","volume":"15 3","pages":"2405-2419"},"PeriodicalIF":2.9,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11948382/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143755853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparison of chest computed tomography in Turbo FLASH mode with conventional mode for coronary artery disease screening: radiation dose, image quality, and calcium scoring performance.","authors":"Ying-Lan Shu, Han Yu, Da-Jing Guo, Ya-Ping Huang, Wen-Li Jiang, Yin-Deng Luo, Jie Xu","doi":"10.21037/qims-24-1005","DOIUrl":"10.21037/qims-24-1005","url":null,"abstract":"<p><strong>Background: </strong>Currently, the traditional chest computed tomography (CT) scan mode presents certain limitations in evaluating the coronary artery calcification score (CACS). Therefore, this study aimed to investigate the impact of using the Turbo FLASH mode to optimize chest CT on radiation dose, image quality, and CACS.</p><p><strong>Methods: </strong>In this cross-sectional study, a total of 968 patients who simultaneously underwent routine chest CT (using the Turbo FLASH mode or the conventional mode) and cardiac CT [coronary calcium scan (CCS) and coronary CT angiography] were retrospectively collected. A comparative analysis was performed between the FLASH mode (n=493) and the conventional mode (n=475) in terms of radiation dose and image quality. CACS analysis was carried out using a semi-automatic software based on CCS, chest CT (FLASH), and chest CT (conventional). Using the CCS-CACS as a reference, the correlation, consistency, and concordance rate of risk categories based on CACS from the two chest CT modes were independently calculated.</p><p><strong>Results: </strong>Chest CT (FLASH) reduced the mean radiation dose by 36.47 mGy·cm (11.1%) and exhibited fewer motion artifacts, albeit with a worse signal-to-noise ratio (SNR) (all P<0.05). For CACS quantification, chest CT (FLASH) showed a stronger linear correlation (r, 0.998 <i>vs.</i> 0.941) and higher consistency (mean difference, -5.653 <i>vs.</i> 7.142) compared to chest CT (conventional). For risk categories, chest CT (FLASH) set also demonstrated a higher concordance rate [91.3% (450/493) <i>vs.</i> 84% (399/475)]. Specifically, category 1 (CACS 1-10) exhibited the most significant improvement (78.5% <i>vs.</i> 53.5%). Additionally, chest CT (FLASH) had a lower false-negative rate [1% (5/493) <i>vs.</i> 4.6% (22/475)].</p><p><strong>Conclusions: </strong>The Turbo FLASH mode of chest CT excels in detecting microcalcifications, reducing false negatives, and improving the accuracy of risk categories. It also lowers radiation exposure, but it may compromise the SNR of images.</p>","PeriodicalId":54267,"journal":{"name":"Quantitative Imaging in Medicine and Surgery","volume":"15 3","pages":"2420-2432"},"PeriodicalIF":2.9,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11948383/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143755714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"¹⁸F-fluorodeoxyglucose positron emission tomography-compute tomography parameters for predicting the prognosis and toxicity in children and young adults with large B-cell lymphoma receiving chimeric antigen receptor T-cell therapy.","authors":"Xilan Yao, Hongrong Wang, Shuang Yao, Xu Yang, Wei Wang, Jigang Yang","doi":"10.21037/qims-24-1737","DOIUrl":"10.21037/qims-24-1737","url":null,"abstract":"<p><strong>Background: </strong>Chimeric antigen receptor (CAR) T-cell therapy has been proven to be an effective choice for patients with relapsed or refractory large B-cell lymphoma (LBCL). Early identification of patients who may have a poor prognosis and develop severe side effects is necessary. In this study, we aimed to assess the value of ¹⁸F-fluorodeoxyglucose positron emission tomography-computed tomography (¹⁸F-FDG PET/CT) parameters in predicting the prognosis and toxicity of CAR T therapy for children and young adults with LBCL.</p><p><strong>Methods: </strong>This retrospective cohort study included patients with LBCL under 30 years of age who underwent ¹⁸F-FDG PET/CT at Beijing Friendship Hospital of Capital Medical University and Beijing GoBroad Boren Hospital before CAR T-cell infusion within 1 month. ¹⁸F-FDG PET/CT metabolic parameters including maximum standardized uptake value (SUVmax), total metabolic tumor volume (TMTV), and total lesion glycolysis (TLG) were recorded. Clinical characteristics and laboratory indicators were also collected. The main endpoints were progression-free survival (PFS) and overall survival (OS) as estimated by the Kaplan-Meier method and log-rank test. We also assessed the relationship between these metabolic and clinical parameters and severe toxicities, including cytokine release syndrome (CRS) and immune effector cell-associated neurotoxicity syndrome (ICANS).</p><p><strong>Results: </strong>Forty-five patients were recruited. The median duration of the follow-up period was 13.9 months. Patients with an age-adjusted international prognostic index (aaIPI) 2-3 (P=0.014) and TMTV >101.4 mL (P=0.026) had a shorter PFS. Patients with Eastern Cooperative Oncology Group (ECOG) performance status 2-3 (P=0.015) and TMTV >101.4 mL (P=0.011) had a shorter OS. Lactate dehydrogenase (LDH) > upper normal limit (UNL) (P=0.030) and TMTV >101.4 mL (P=0.042) were associated with grade 2-4 CRS, and C-reactive protein (CRP) > UNL (P=0.014) was associated with grade 2-4 ICANS.</p><p><strong>Conclusions: </strong>aaIPI and TMTV were independent risk factors for PFS, and ECOG score and TMTV had independent prognostic value for OS. Higher LDH and TMTV were associated with grade 2-4 CRS, and higher CRP was associated with more severe ICANS. Thus, integrating these metabolic parameters of ¹⁸F-FDG PET/CT and clinical-laboratory indicators can be valuable for managing children and young adults with B-cell lymphoma who have received CAR T-cell therapy.</p>","PeriodicalId":54267,"journal":{"name":"Quantitative Imaging in Medicine and Surgery","volume":"15 3","pages":"2209-2221"},"PeriodicalIF":2.9,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11948395/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143755821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fast kilovoltage peak-switching dual-energy computed tomography water-hydroxyapatite decomposition for detecting vertebral compression fracture-related bone marrow edema: a comparison with magnetic resonance imaging.","authors":"Rong Yao, Xue'e Zhu, Dan Zhou, Li Yang, Hanxiao Yu, Rui Zhang, Tongbo Yu, Menghua Yang","doi":"10.21037/qims-24-1576","DOIUrl":"10.21037/qims-24-1576","url":null,"abstract":"<p><strong>Background: </strong>Dual-energy computed tomography (DECT) material decomposition techniques have been reported to be effective for identifying acute and chronic vertebral compression fractures (VCFs) as compared with magnetic resonance imaging (MRI). However, a quantitative evaluation of the consistency of the bone marrow edema (BME) region depicted by DECT with that delineated by MRI has not been reported. This study thus aimed to qualitatively and quantitatively assess the fast kilovoltage peak (kVp)-switching DECT water-hydroxyapatite (HAP) decomposition technique in detecting traumatic BME in patients with VCFs and compare it to MRI.</p><p><strong>Methods: </strong>A total of 195 consecutive patients who underwent both spinal DECT and MRI within 3 days from each other were retrospectively enrolled. All vertebral bodies were blindly evaluated for the presence of traumatic BME on water-HAP images. Water concentration was measured in all vertebral bodies, and the maximum area of BME was measured in the edematous ones. An experienced radiologist blindly evaluated the presence of BME on fluid-sensitive MR images, which served as the reference, and calculated the maximum area of BME. One-way analysis of variance with post hoc pairwise comparisons (Tamhane's T2 at P<0.05) was used to compare water concentrations among acute VCFs, chronic VCFs, and normal vertebrae. Receiver operating characteristic (ROC) curve analysis was conducted to predict acute VCFs. Bland-Altman analysis was performed to evaluate the consistency of the maximum area of BME measured on DECT and MRI.</p><p><strong>Results: </strong>In the visual analysis of acute VCFs, water-HAP images had an overall sensitivity of 97.1%, a specificity of 99.7%, and an accuracy of 99.4%. Water concentration differed significantly between acute and chronic VCFs and between acute VCFs and normal vertebrae (P<0.001), but it did not differ significantly between chronic VCFs and normal vertebrae (P=0.998). ROC curve analysis yielded an area under the curve of 0.989, and the optimal threshold of 991.4 mg/cm³ yielded a 94.9% sensitivity and a 90.3% specificity in identifying edematous vertebral bodies. Bland-Altman plots indicated that all mean differences in the maximum area of BME measured on DECT and MRI were nearly zero (P>0.05), with most differences having a standard deviation within 1.96.</p><p><strong>Conclusions: </strong>The fast kVp-switching DECT water-HAP decomposition technique had an excellent diagnostic performance in distinguishing acute VCFs from chronic ones. The depicted areas of BME on DECT and MRI were highly similar.</p>","PeriodicalId":54267,"journal":{"name":"Quantitative Imaging in Medicine and Surgery","volume":"15 3","pages":"2270-2279"},"PeriodicalIF":2.9,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11948417/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143755872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hereditary cardiac amyloidosis associated with a rare p.Ala101Val transthyretin mutation: a case description.","authors":"Shanshan Yuan, Miao Zhang, Wei Liu, Yuting Deng, Hongyan Dai","doi":"10.21037/qims-24-1542","DOIUrl":"10.21037/qims-24-1542","url":null,"abstract":"","PeriodicalId":54267,"journal":{"name":"Quantitative Imaging in Medicine and Surgery","volume":"15 3","pages":"2625-2631"},"PeriodicalIF":2.9,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11948377/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143755876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The value of ¹²³I-MIBG xSPECT/CT quantitative parameters in the diagnosis of bone metastasis in pediatric neuroblastoma patients.","authors":"Xiaoya Wang, Guanyun Wang, Ziang Zhou, Ying Kan, Jigang Yang","doi":"10.21037/qims-24-1251","DOIUrl":"10.21037/qims-24-1251","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;The diagnostic value of quantitative single-photon emission computed tomography/computed tomography (xSPECT/CT) in the screening of bone metastases of various malignant tumors varies. This study investigated the differential diagnostic value of quantitative parameters of &lt;sup&gt;123&lt;/sup&gt;I-metaiodobenzylguanidine (&lt;sup&gt;123&lt;/sup&gt;MIBG) xSPECT/CT imaging in the diagnosis of bone metastasis in pediatric neuroblastoma (NB) patients.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;In this retrospective cohort study, the &lt;sup&gt;123&lt;/sup&gt;I-MIBG xSPECT/CT images of 125 children with NB confirmed by pathology at Beijing Friendship Hospital from March 2022 to December 2023 were assessed. A Spearman correlation analysis was conducted to assess the factors influencing normal bone quantitative parameters, and differences in the standardized uptake values (SUVs), including the maximum standardized uptake value (SUVmax), average standardized uptake value (SUVavg), minimum standardized uptake value (SUVmin), and peak standardized uptake value (SUVpeak), between metastatic bone lesions and normal bone were compared using the Mann-Whitney &lt;i&gt;U&lt;/i&gt; test. Receiver operating characteristic (ROC) curves were used to determine the optimal cut-off values of the SUVs in the diagnosis of metastatic bone lesions. The above indexes were compared via a visual analysis, and using the chi-square test. The clinical parameters and semi-quantitative indexes of xSPECT/CT were also analyzed using univariate and multivariate methods.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;The study cohort comprised 75 girls and 50 boys with an average age of 5.94 years (0.6-9 years). The SUVs of metastatic bone lesions were significantly higher than those of normal bone (P&lt;0.0001), but there was no statistically significant difference in the SUV values of metastatic bone lesions among the different Curie score subzones (P&gt;0.05). The area under the curve (AUC) values for the SUVmax, SUVavg, SUVmin, and SUVpeak were 0.946 [95% confidence interval (CI): 0.921-0.971], 0.962 (95% CI: 0.939-0.984), 0.953 (95% CI: 0.928-0.978), and 0.959 (95% CI: 0.936-0.982), respectively (P&lt;0.0001). The optimal diagnostic thresholds identified for the SUVmax, SUVavg, SUVmin, and SUVpeak were 0.39, 0.36, 0.19 and 0.35, respectively. The SUVavg was the best index among the different Curie score subzones, and the specificity of the quantitative analysis in diagnosing bone metastasis in NB patients was better than that of the visual analysis. We also showed that tumor stage and neuron specific enolase (NSE) levels are important factors influencing the diagnosis of bone metastasis. There was no statistically significant difference in the SUV values for normal bone among different physical parameters (P&gt;0.05).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;A SUVavg above 0.36 g/mL in NB patients had the best efficacy in the diagnosis of bone metastasis in NB patients. Quantitative indexes of xSPECT/CT had better specificity in the dia","PeriodicalId":54267,"journal":{"name":"Quantitative Imaging in Medicine and Surgery","volume":"15 3","pages":"2570-2580"},"PeriodicalIF":2.9,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11948405/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143755908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deep medullary veins: a promising neuroimaging marker for neurodegeneration in multiple sclerosis.","authors":"Qi Wang, Ying Shi, Yuan Tian, Hongping Chen, Jianxiu Lian, Jiayun Ren, Yuefei Ma, Yingzhe Cui, Pengfei Liu","doi":"10.21037/qims-24-1108","DOIUrl":"10.21037/qims-24-1108","url":null,"abstract":"<p><strong>Background: </strong>Multiple sclerosis (MS) is a chronic autoimmune disease of the central nervous system (CNS). Recent studies have shown that different forms of vascular abnormalities may be related to the pathogenesis of MS. Susceptibility-weighted imaging (SWI) can directly image intracranial venules. The aim of this study was to investigate the association between deep medullary veins (DMVs) and the degree of neurodegeneration in patients with MS.</p><p><strong>Methods: </strong>In this prospective cross-sectional study, 34 patients with MS and 30 age-matched healthy controls (HCs) were recruited. The count and score of DMVs, which can reflect the visibility and continuity of DMVs were evaluated based on SWI. The differences between the group with a high DMV score (DMV >10) and the group with a low DMV score (DMV ≤10) were assessed. The association of DMV change with neurodegeneration neuroimaging markers [including amount and volume of white matter lesion (WML), degree of cortical atrophy, whole-brain atrophy, and deep gray matter (DGM) atrophy] and clinical Expanded Disability Status Scale (EDSS) were observed in patients with MS.</p><p><strong>Results: </strong>It was found that compared with controls, patients with MS (n=34) had a significantly lower DMV count (P<0.001) and a significantly higher DMV score (P<0.001). The low- and high-DMV score groups differed significantly in terms of EDSS (P=0.048) and neurodegeneration neuroimaging indicators, including WML volume (P=0.015), brain parenchymal fraction (BPF) (P=0.047), thalamic fraction (P=0.036), and caudate fraction (P=0.015). In the correlation analysis of the MS group, DMV count was negatively correlated with the number of WMLs (r=-0.535; P=0.001) and the WML volume (r=-0.416; P=0.014) but positively correlated with the neuroimaging measurements reflecting the degree of whole-brain atrophy and DGM atrophy. Furthermore, the DMV score was positively correlated with EDSS (r=0.450; P=0.008), number of WMLs (r=0.490; P=0.003), and WML volumes (r=0.635; P=0.001) but negatively correlated with the neuroimaging measurements reflecting the degree of whole-brain atrophy and DGM atrophy.</p><p><strong>Conclusions: </strong>Reduced DMV visibility and continuity could reflect the severity of neurodegeneration in patients with MS. DMV count and score may be imaging indicators for assessing the severity of MS.</p>","PeriodicalId":54267,"journal":{"name":"Quantitative Imaging in Medicine and Surgery","volume":"15 3","pages":"2003-2015"},"PeriodicalIF":2.9,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11948406/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143755915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advancing insights: a bibliometric analysis of evolutionary patterns and research frontiers in ultrasound-derived quantitative assessment of skeletal muscle.","authors":"Zhe Sun, Jiajia Tang, Liangkai Wang, Jiaojiao Ma, Tongtong Zhou, Huilin Li, Xinyi Liu, Xuejiao Yu, Bo Zhang","doi":"10.21037/qims-24-1607","DOIUrl":"10.21037/qims-24-1607","url":null,"abstract":"<p><strong>Background: </strong>Quantitative ultrasound has emerged as a promising tool for measuring skeletal muscle mass and quality. Given the growing need for early detection of muscle dysfunction and sarcopenia, this study aims to provide a comprehensive bibliometric analysis of the current state of knowledge in this field, identifying key trends, gaps, and themes to guide future research and clinical applications.</p><p><strong>Methods: </strong>A bibliometric analysis was performed on articles retrieved from the Science Citation Index-Expanded (SCI-EXPANDED) database within the Web of Science Core Collection up to April 28, 2024. The 'bibliometrix' R package was utilized to synthesize main findings, quantify the occurrences of top keywords, and visualize international collaboration networks. Keyword co-occurrence and co-authorship were analyzed utilizing VOSviewer. Additionally, CiteSpace facilitated the identification of cited references and keywords exhibiting highest citation bursts.</p><p><strong>Results: </strong>A total of 3,379 publications were analyzed. The United States, Japan, and China emerged as the leading contributors to this field. The European Journal of Applied Physiology was identified as the most prolific journal, and Takashi Abe was distinguished for achieving the leading H-index. \"Strength\" and \"reliability\" topped the keyword frequency list. \"Insulin resistance\", \"impact\", \"shear wave elastography\", \"risk\", and \"sarcopenia\" were keywords that continued to burst as of 2024, which indicated the potential emerging research topics and future frontiers.</p><p><strong>Conclusions: </strong>This bibliometric analysis, encompassing over forty years of literature on quantitative ultrasound assessment of skeletal muscle, delineated key contributions from countries, institutions, authors, and journals. The findings highlight the utility of quantitative ultrasound as a critical tool in assessing skeletal muscle mass and function, demonstrating its global impact and research trends.</p>","PeriodicalId":54267,"journal":{"name":"Quantitative Imaging in Medicine and Surgery","volume":"15 3","pages":"1912-1926"},"PeriodicalIF":2.9,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11948402/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143755927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diagnostic challenges in emergency stroke: a case series.","authors":"Yu Liu, Qiong Tang, Xiaolian Wu, Xiaoping Peng, Xiaobing Xu","doi":"10.21037/qims-24-1640","DOIUrl":"10.21037/qims-24-1640","url":null,"abstract":"<p><strong>Background: </strong>Acute ischemic stroke (AIS) is a disease associated with high rates of death and disability. The most effective treatment for AIS is intravenous thrombolysis (IVT) and mechanical thrombectomy (MT). In the acute phase of AIS, the accuracy of diagnosis is crucial for deciding on IVT and MT, but can be complicated by the presence of a large number of stroke mimics (SMs) and stroke chameleons (SCs). In this paper, to improve the identification of true stroke from false stroke at the early stage, we innovatively present a rare case series of SMs and SCs categorized by subject modes.</p><p><strong>Case description: </strong>We present a series of retrospective cases in the Affiliated Hospital of Guangdong Medical University. All cases presented with acute onset. These nine rare cases highlight SMs and SCs that were classified into three categories: epilepsy, metabolic disorders, and myelopathy. The main diagnoses of these cases included AIS, epilepsy, metabolic disorder, and myelopathy. Due to our timely diagnosis and correct treatment, most patients showed improvement in symptoms during follow-up.</p><p><strong>Conclusions: </strong>These cases can aid in distinguishing AIS from other diseases in the early stages, thereby reducing the rates of misdiagnosis and missed diagnosis, especially in the emergency department. Ultimately, this can prevent patients from undergoing unnecessary examinations and treatments while ensuring they receive timely and proper treatments. However, it is important to note that excessive pursuit of diagnostic accuracy may delay the timely application of IVT and MT for patients.</p>","PeriodicalId":54267,"journal":{"name":"Quantitative Imaging in Medicine and Surgery","volume":"15 3","pages":"2592-2604"},"PeriodicalIF":2.9,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11948443/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143755928","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}