BMC Medical Imaging最新文献

{"title":"C-shaped canal configuration in mandibular second molars of a selected Uyghur adults in Xinjiang: prevalence, correlation, and differences of root canal configuration using cone-beam computed tomography.","authors":"Maliyamuguli Pataer, Aerman Abulizi, Sakendeke Jumatai, Xuelei Zhang, Xiaofang Zhang, Jin Zhao","doi":"10.1186/s12880-025-01640-1","DOIUrl":"https://doi.org/10.1186/s12880-025-01640-1","url":null,"abstract":"<p><strong>Objectives: </strong>To determine the prevalence of C-shaped root canal system configurations and assess the correlation between C-shaped root canal prevalence and root morphology in mandibular second molars among adults in Xinjiang Uyghur population using cone-beam computed tomography (CBCT).</p><p><strong>Materials and methods: </strong>CBCT imaging data from patients treated at the First Affiliated Hospital of Xinjiang Medical University (Affiliated Stomatology Hospital) were retrospectively analyzed. The prevalence of C-shaped root canal configurations in mandibular second molars was determined based on Fan et al.'s classification. Axial sections of each tooth were evaluated in the coronal, middle, and apical thirds to identify canal configurations and analyze root morphology. The differences in C-shaped canal prevalence between genders and tooth positions were compared. Statistical analysis was performed using the chi-square test (p < 0.05).</p><p><strong>Results: </strong>A total of 1748 patients were included, with 510 (29.17%) exhibiting C-shaped root canals. Females exhibited a higher prevalence (31.49%) than males (25.15%). C-shaped canals were more frequently observed on the lingual surface (76.8%) than the buccal surface (22.2%). Bilateral symmetry of C-shaped canals was observed in 64.7% of cases. A significant association was found between C-shaped canals and root morphology (p < 0.001). Among patients with C-shaped canals, 66.9% demonstrated symmetrical configurations. The most common configuration was C3 (present in all axial levels), followed by C1 and C2. Mandibular second molars with three roots or type 3/type 4 morphologies exhibited a high probability of C-shaped canals.</p><p><strong>Conclusions: </strong>C-shaped canals were more prevalent in females and lingually positioned in mandibular second molars. Bilateral C-shaped canals were frequently symmetrical and more common than unilateral cases. Mandibular second molars with three-root or type 3/type 4 morphologies may indicate a high likelihood of C-shaped canals. The most common configuration was C3, followed by C1 and C2, all present across all axial levels. Understanding these anatomical variations preoperatively can improve clinical management.</p>","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":"25 1","pages":"116"},"PeriodicalIF":2.9,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11987455/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143952760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparative analysis of apparent diffusion coefficient (ADC) metrics for the differential diagnosis of breast mass lesions.","authors":"Yangping Yang, Jiong Liu, Jian Shu","doi":"10.1186/s12880-025-01654-9","DOIUrl":"https://doi.org/10.1186/s12880-025-01654-9","url":null,"abstract":"<p><strong>Background: </strong>Breast cancer's diagnostic challenge is amplified by its heterogeneity. Diffusion-Weighted Imaging (DWI) offers promising avenues for precise tumor characterization through Apparent Diffusion Coefficient (ADC) metrics.</p><p><strong>Purpose: </strong>To investigate the diagnostic utility of advanced ADC metrics in distinguishing breast lesions using Magnetic Resonance Imaging (MRI).</p><p><strong>Methods: </strong>A retrospective cohort analysis of MRI data from 125 pathologically confirmed breast tumors was conducted. ADC values were independently measured by two physicians at the lesion sites and reference points (contralateral normal breast parenchyma, pectoralis major, and interventricular septum), from which advanced ADC metrics were calculated. Statistical analyses were applied to differentiate ADC metrics between malignant and benign groups. ROC curves assessed the diagnostic efficacy of individual ADC metrics. A binary logistic regression model incorporating ADC metrics and age was developed, with its diagnostic superiority evaluated through multidimensional comparisons.</p><p><strong>Results: </strong>Of the 125 lesions, 77 were malignant and 48 benign. Significant differences in ADC metrics were found between malignant and benign tumors. Diagnostic analysis showed minimum ADC value (ADC_min) as the most effective single indicator, while the combined model, including age and average ADC value (ADC_avg), outperformed individual ADC metrics, demonstrating superior diagnostic accuracy (area under the curve (AUC) = 0.964). The combined model nomogram also showed improved clinical utility and a significant increase in diagnostic performance.</p><p><strong>Conclusions: </strong>Advanced ADC metrics significantly enhance the diagnostic accuracy for differentiating between benign and malignant breast lesions. The development of a combined model further refines breast cancer diagnostics, supporting the advancement towards precision medicine.</p>","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":"25 1","pages":"117"},"PeriodicalIF":2.9,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11987170/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143973393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A new scoring system for risk stratification of thyroid tumors.","authors":"Ya Yuan, Hua Shu, Lu Li, Liuxi Wu, Fei Yu","doi":"10.1186/s12880-025-01633-0","DOIUrl":"https://doi.org/10.1186/s12880-025-01633-0","url":null,"abstract":"<p><strong>Objectives: </strong>To develop an ultrasound feature-based risk stratification system for differentiating benign, low-risk and malignant thyroid tumors and compare it with existing TI-RADS.</p><p><strong>Methods: </strong>The retrospective study included patients who underwent preoperative neck ultrasound examination from January 2018 to June 2023, and their ultrasound characteristics were recorded. According to surgical pathological findings, they were classified into three categories: benign, low-risk, and malignant. Univariable and multivariable logistic regression analyses were used to assess the association of qualitative ultrasound features with different risk stratifications and a new scoring system was established to evaluate its diagnostic efficacy, and to compare it with TI-RADS.</p><p><strong>Results: </strong>Aspect ratio ≥1 was an independent risk factor in the comparison of benign and low-risk thyroid nodules, and in the comparison of benign and malignant nodules, hypoechoic,irregular margin,nodule max diameter ≤1 cm,the aspect ratio ≥1 and elasticity score ≥3 were independent risk factors. According to the multivariate analysis, they were assigned 1, 2, 2, 3, 2/4 points respectively, and we established a new scoring system. According to ROC analysis, the total score of 0-4.5 was considered as benign nodules, 4.5-5.5 was considered as low-risk nodules, and more than 5.5 were considered as malignant nodules. Compared it to ACR-TI-RADS, this scoring system performed better than in differentiating benign and malignant nodules (P = 0.001, P = 0.018, respectively).</p><p><strong>Conclusion: </strong>The scoring system based on ultrasound features established in this study can be used for risk stratification of thyroid nodules more efficiently, it has higher sensitivity and specificity for the differentiation of benign and malignant nodules.</p>","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":"25 1","pages":"114"},"PeriodicalIF":2.9,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11983903/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143962879","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Image quality improvement in head and neck angiography based on dual-energy CT and deep learning.","authors":"He Zhang, Lulu Zhang, Juan Long, He Zhang, Xiaonan Sun, Shuai Zhang, Aiyun Sun, Shenman Qiu, Yankai Meng, Tao Ding, Chunfeng Hu, Kai Xu","doi":"10.1186/s12880-025-01659-4","DOIUrl":"https://doi.org/10.1186/s12880-025-01659-4","url":null,"abstract":"<p><strong>Objective: </strong>Compare the image quality of image reconstructed using deep learning-based image reconstruction (DLIR) and iterative reconstruction algorithms for head and neck dual-energy CT angiography (DECTA).</p><p><strong>Methods: </strong>This prospective study comprised fifty-eight patients with head and neck DECTA. Images reconstructed by four algorithms (120-kVp-like with ASIR-V40%, 50 keV with ASIR-V40%, 50 keV with DLIR-M, 50 keV with DLIR-H) were compared. CT attenuation, image noise, signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were all calculated. Edge rise distance (ERD) and edge-rise slope (ERS) were measured on the right common carotid artery to reflect spatial resolution. Quantitative data are summarized as the mean ± SD. The subjective image quality scores using a 5-point Likert scale were obtained for the following: overall image quality, edge sharpness of vessels, image noise, and artifacts.</p><p><strong>Results: </strong>The CT attenuation of all vessels in the 120kVp-like images were lower than the 3 sets of 50 keV images with significant difference (all P < 0.05). In the 50 keV images, both sternocleidomastoid muscle (SCM) and white matter (WM) had a minimum noise in DLIR-H group, and a maximum in ASIR-V40% group with significant difference (all P < 0.001). SNR and CNR in 50 keV images of all vessels had the same results: highest in DLIR-H group and lowest in ASIR-V40% group with significant differences (all P < 0.05). The mean value of ERD showed no significant difference among the four groups (P = 0.082). While the 120kVp-like images had the lowest ERS, which showed statistically significant difference with the other groups (all P < 0.001). In terms of overall image quality, sharpness, and artifacts, the scores of DLIR-M and DLIR-H at 50 keV were not statistically different (all P > 0.05), and were higher than ASIR-V40% at 50 keV images (all P < 0.05), and higher than ASIR-V40% at 120 kVp-like (all P < 0.05). The scores of DLIR-H at 50 keV were highest in terms of noise and average scores.</p><p><strong>Conclusion: </strong>DLIR is a potential solution for DECTA reconstruction since it can greatly reduce image noise, improving image quality of head and neck DECTA at 50 keV It is worth considering adopting in routine head and neck CTA applications.</p>","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":"25 1","pages":"115"},"PeriodicalIF":2.9,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11987473/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143953707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Habitat analysis of iron deposition in the basal ganglia for diagnosing cognitive impairment in chronic kidney disease: evidence from a case-control study.","authors":"Hao Wang, Yu Qi, Xu Liu, Li-Jun Song, Wen-Bo Yang, Ming-An Li, Xiao-Yan Bai, Mao-Sheng Xu, Hao-Nan Zhu, Si-Qing Cai, Yi Wang, Zheng-Han Yang, Yuan-Zhe Li, Zhen-Chang Wang, Yi-Fan Guo","doi":"10.1186/s12880-025-01656-7","DOIUrl":"10.1186/s12880-025-01656-7","url":null,"abstract":"<p><strong>Background: </strong>Chronic kidney disease induces alterations in the heterogeneity of iron deposition within the basal ganglia. Quantitative analysis of the heterogeneity of iron deposition within the basal ganglia may be valuable for diagnosing chronic kidney disease-related cognitive impairment.</p><p><strong>Methods: </strong>In this prospective observational cohort study, quantitative susceptibility mapping (QSM) was performed in chronic kidney disease patients. Susceptibility values of each nucleus within the basal ganglia were measured. Radiomic features were extracted from habitats of the basal ganglia on QSM images. Habitat-based models for diagnosing cognitive impairment were constructed using the random forest algorithm. Logistic regression was employed to build the clinical model and the combined model. The performance of each model was evaluated by the receiver operating characteristic (ROC) analysis.</p><p><strong>Results: </strong>A total of 146 patients (mean age, 51 ± 13 years; 92 male) were included, of which 79 had cognitive impairment. The two habitats-based model achieved an area under the curve of 0.926 (95% CI 0.842-1.000) on the test set, the highest among all prediction models. The two-habitat maps indicated that chronic kidney disease had two distinct patterns of impact on iron deposition in the basal ganglia region. The capability of the two habitats-based model to identify chronic kidney disease-related cognitive impairment was significantly superior to that of the susceptibility values measured in various nuclei (all p < 0.05).</p><p><strong>Conclusions: </strong>This study innovatively applied a habitat-based quantitative analysis technique to QSM, successfully constructing a model that accurately diagnoses chronic kidney disease-related cognitive impairment.</p><p><strong>Trial registration: </strong>This study was approved by the Beijing Friendship Hospital Ethics Board (ClinicalTrials.gov Identifier: NCTO5137470) and conducted in accordance with the Declaration of Helsinki ethical standards.</p>","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":"25 1","pages":"113"},"PeriodicalIF":2.9,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11980340/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143810451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A comparative study of different types of connective tissue-associated interstitial lung disease.","authors":"Xinyi Li, Hongmei Zhang, Xiaoyue Zhang, Guokun Wang, Xue Zhao, Jinling Zhang","doi":"10.1186/s12880-025-01655-8","DOIUrl":"10.1186/s12880-025-01655-8","url":null,"abstract":"<p><strong>Introduction: </strong>Interstitial lung disease (ILD) is an important pulmonary complication of connective tissue disease (CTD). This study aimed to analyze high-resolution computed tomography (HRCT) manifestations of different connective tissue-associated interstitial lung diseases (CTD-ILDs) to improve diagnostic accuracy.</p><p><strong>Method: </strong>This study retrospectively included 99 patients diagnosed with CTD-ILD between September 2017 and July 2024. Visual assessment and quantitative CT analysis were used to evaluate HRCT manifestations.</p><p><strong>Results: </strong>The age of the rheumatoid arthritis (RA) group was significantly greater than that of the polymyositis/dermatomyositis (PM/DM) and systemic sclerosis (SSc) groups (p = 0.025 and p = 0.02), with a mean age of 64.4 ± 10 years. The most common HRCT pattern of CTD-ILD was nonspecific interstitial pneumonia (NSIP) (p = 0.008); the adjusted residual > 1.96, usual interstitial pneumonia (UIP) was most frequently observed in the RA group, organizing pneumonia (OP) was most commonly observed in the PM/DM group, and lymphocytic interstitial pneumonia (LIP) was observed only in the primary Sjögren's syndrome (pSjS) group. The CTD-ILD groups exhibited significant differences in bronchiectasis (χ2 = 11.256, p = 0.0022), esophageal dilatation (χ2 = 33.923, p < 0.001), mediastinal lymph node enlargement (χ2 = 10.103, p = 0.041), and thin-walled cysts (χ2 = 14.081, p = 0.006). Adjusted residual > 1.96, esophageal dilatation was commonly observed in the SSc group; bronchiectasis was more common in the RA group; mediastinal lymph node was more common in the pSjS group. Statistically significant differences in the predominance of different CTD-ILDs (χ2 = 20.814, p = 0.0046). The PM/DM group exhibited significant consolidation and reticulation. The extensive honeycombing was present in the RA-ILD group (p = 0.044). Based on logistic binary regression analysis, bronchial dilatation (odds ratio: 4.506, p = 0.005) and extensive honeycombing (odds ratio: 1.282, p = 0.021) were significant predictors of RA-ILD, while lymph node enlargement (odds ratio: 3.314, p = 0.039) and thin-walled cysts (odds ratio: 6.278, p = 0.001) were predictors of pSjS-ILD.</p><p><strong>Conclusion: </strong>Different types of CTD-ILD have characteristic HRCT manifestations.</p><p><strong>Clinical trial number: </strong>As this study involved standard clinical procedures and assessments without an experimental treatment protocol, it did not require registration with a public clinical trials registry.</p>","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":"25 1","pages":"109"},"PeriodicalIF":2.9,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11977872/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143802314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cerebral morphometric alterations predict the outcome of migraine diagnosis and subtyping: a radiomics analysis.","authors":"Tong-Xing Wang, Xiao-Bin Huang, Tong Fu, Yu-Jia Gao, Di Zhang, Lin-Dong Liu, Ya-Mei Zhang, Hai Lin, Jian-Min Yuan, Cun-Nan Mao, Xin-Ying Wu","doi":"10.1186/s12880-025-01645-w","DOIUrl":"10.1186/s12880-025-01645-w","url":null,"abstract":"<p><strong>Background: </strong>This study aimed to identify cerebral radiomic features related to migraine diagnosis and subtyping into migraine with aura (MwA) and migraine without aura (MwoA) and to develop predictive models based on these markers.</p><p><strong>Method: </strong>We retrospectively analyzed MR imaging from 88 migraine patients (32 MwA and 56 MwoA) and 49 healthy control subjects (HCs). Features representing the gray matter morphometry and diffusion properties were extracted from participants via histogram analysis. These features were put through an all-relevant feature selection procedure within cross-validation loops to identify features with significant discriminative power for migraine diagnosis and subtyping. Based on the selected features, the predictive ability of the random forest models constructed from the previous sample was tested in an independent sample of 30 patients (10 MwA) and 17 HCs.</p><p><strong>Result: </strong>No overall differences in total brain volume or gray matter volume were revealed between patients and HCs, or between MwA and MwoA (all P values > 0.05). Six features significantly differed between patients and HCs for migraine diagnosis, and four features distinguished MwA from MwoA for subtyping (all P values < 0.001). Four features were significantly correlated with headache severity score (all P values < 0.01). Based on these relevant features, the random forest models achieved accuracies of 80.9% in distinguishing patients from HCs and 76.7% in differentiating MwA from MwoA in the testing cohort.</p><p><strong>Conclusion: </strong>Our findings suggest cerebral radiomic alterations in migraine patients may potentially serve as a biomarker to assist in migraine diagnosis and subtyping, contributing to personalized treatment strategy.</p><p><strong>Clinical trial number: </strong>Not applicable.</p>","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":"25 1","pages":"110"},"PeriodicalIF":2.9,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11978170/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143802294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Radiomic analysis using T1 mapping in gadoxetic acid disodium-enhanced MRI for liver function assessment.","authors":"Xin Li, Guangyong Ai, Xiaofeng Qiao, Weijuan Chen, Qianrui Fan, Yudong Wang, Xiaojing He, Tianwu Chen, Dajing Guo, YangYang Liu","doi":"10.1186/s12880-025-01658-5","DOIUrl":"10.1186/s12880-025-01658-5","url":null,"abstract":"<p><strong>Objectives: </strong>To explore the value of a T1 mapping-based radiomic model for evaluating liver function.</p><p><strong>Methods: </strong>From September 2020 to October 2022, 163 patients were retrospectively recruited and categorized into normal liver function group, chronic liver disease group without cirrhosis, Child‒Pugh class A group, and Child‒Pugh class B and C group. Patients were randomly split into training and testing sets. Radiomic features were extracted from T1 mapping images taken both pre- and post-contrast injection, as well as during the hepatobiliary phase (HBP). Radiomic models were constructed to stratify chronic liver disease, cirrhosis and decompensated cirrhosis. Model performance was assessed with receiver operating characteristic curve analysis, and decision curve analysis.</p><p><strong>Results: </strong>The K-Nearest Neighbors model demonstrated the best generalization across native T1 map, HBP T1 maps and HBP images. In the training set, based on native T1 maps, it achieved accuracies of 0.83, 0.86, and 0.86 in distinguishing chronic liver disease, cirrhosis, and decompensated cirrhosis, with corresponding AUCs of 0.92, 0.92, and 0.95. In the testing set, the accuracies were 0.75, 0.89, and 0.71, with AUCs of 0.79, 0.92, and 0.83, respectively. When using HBP images with T1 maps, the accuracies were 0.72, 0.90, and 0.72 in the testing set in identifying chronic liver disease, cirrhosis, and decompensated cirrhosis with AUCs of 0.82, 0.93, and 0.79, respectively.</p><p><strong>Conclusion: </strong>Radiomic analysis based on native T1 map, and HBP with or without T1 map images shows promising potential for liver function assessment, particularly in distinguishing cirrhosis.</p>","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":"25 1","pages":"111"},"PeriodicalIF":2.9,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11977955/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143802297","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Use of a soft guiding template and laser device improves the success rate of computed tomography-guided bone biopsies and reduces radiation exposure.","authors":"Xiaoliang Wang, Zhenye Sun, Zhilin Ji, Jingyu Zhang, Guangyi Xiong, Jinwei Liu, Wei Wang, Shuhui Dong, Xianghong Meng","doi":"10.1186/s12880-025-01652-x","DOIUrl":"10.1186/s12880-025-01652-x","url":null,"abstract":"<p><strong>Background: </strong>Precision and operator expertise are critical for bone tumour biopsies. In this study, we investigated the impact of combining a soft guiding template with a laser device on the success rate of computed tomography (CT)-guided bone biopsies and the associated radiation dose.</p><p><strong>Methods: </strong>A cohort of 114 patients with bone tumours requiring CT-guided biopsies were assigned to the auxiliary device group, utilising a soft guiding template and a laser device. Another 197 patients (control group) underwent biopsies with conventional guiding templates. The χ2 test compared biopsy success rates and concordance rates between biopsy findings and surgical outcomes. Biopsy success rates for limb bones, limb girdles, and axial bones were also compared. Independent sample t-tests analysed differences in age, volume CT dose index (CTDI_vol), dose-length product (DLP), and effective dose (ED) between groups, as well as for limb bones, limb girdles, and axial bones individually.</p><p><strong>Results: </strong>The biopsy success rate in the auxiliary device group (85.09%) was significantly higher than in the control group (74.62%; P = 0.032). No significant differences were observed for limb girdles (P = 0.40) or axial bones (P = 0.19). However, the biopsy success rate for limb bones was significantly higher in the auxiliary device group (85.51%) than in the control group (70.87%; P = 0.028). The concordance rate between biopsy findings and surgical outcomes did not differ significantly (P = 1.00). CTDI_vol showed no significant differences for limb girdles (P = 0.66), limb bones (P = 0.23), or axial bones (P = 0.8). While DLP (P = 0.41)and ED (P = 0.42) showed no significant differences for limb girdles, they were significantly lower for limb bones (DLP: P = 0.012; ED: P = 0.012) and axial bones (DLP: P = 0.005; ED: P = 0.002) in the auxiliary device group.</p><p><strong>Conclusion: </strong>The combination of a soft guiding template and laser device significantly improved the success rate of CT-guided bone biopsies, providing a solid histological foundation for early and accurate diagnosis. Furthermore, these devices reduced the associated radiation dose, lowering radiation-related risks for patients.</p>","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":"25 1","pages":"112"},"PeriodicalIF":2.9,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11977885/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143802315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessment of right ventricle-to-pulmonary artery coupling by three-dimensional echocardiography in pre-capillary pulmonary hypertension: comparison with tricuspid annular plane systolic excursion /systolic pulmonary artery pressure ratio.","authors":"Guangjie Lv, Aili Li, Yanan Zhai, Lei Li, Mei Deng, Jieping Lei, Xincao Tao, Qian Gao, Wanmu Xie, Zhenguo Zhai","doi":"10.1186/s12880-025-01650-z","DOIUrl":"10.1186/s12880-025-01650-z","url":null,"abstract":"<p><strong>Background: </strong>The tricuspid annular plane systolic excursion/systolic pulmonary artery pressure ratio (TAPSE/sPAP) has limitations in evaluating right ventricle-to-pulmonary artery (RV-PA) coupling, particularly when pulmonary artery pressure cannot be accurately estimated by tricuspid regurgitation or when TAPSE cannot accurately reflect right ventricular systolic function in certain scenarios. Therefore, this study aimed to explore the value of three-dimensional echocardiography (3DE) coupling parameters in assessing RV-PA coupling in patients with pre-capillary pulmonary hypertension (PH).</p><p><strong>Methods: </strong>Fifty-nine patients with pre-capillary PH were retrospectively recruited. The surrogate \"gold standard\" of RV-PA coupling was derived from right heart catheterization (RHC) and cardiac magnetic resonance imaging (CMR). The relationships between echocardiographic RV-PA coupling parameters and RHC-CMR coupling standard were analyzed by Pearson's test and Bland‒Altman test. Additionally, 24 chronic thromboembolic pulmonary hypertension (CTEPH) patients were enrolled to explore the changes in echocardiographic RV-PA coupling parameters before and after PEA. Multivariate ordinal regression analysis was performed to identify echocardiographic parameters associated with prognostic risk stratification in pre-capillary PH patients.</p><p><strong>Results: </strong>3DE coupling parameters demonstrated strong correlation and good agreement with the RHC-CMR coupling standard. In contrast, TAPSE/sPAP was moderately correlated to the RHC-CMR coupling standard, but showed poor consistency, with a significant bias of 0.44 (95% CI: 0.374, 0.511). Before and after PEA, stroke volume/end-systolic volume (SV/ESV) derived by 3DE remained moderately correlated with pulmonary vascular resistance (PVR) and mean pulmonary artery pressure (mPAP) (r =-0.614, -0.655, P < 0.001), whereas TAPSE/sPAP was only associated with PVR and mPAP in CTEPH patients before PEA (r=-0.605, -0.758, P < 0.001). Multivariate regression analysis revealed TAPSE/sPAP as the strongest predictor of prognostic risk.</p><p><strong>Conclusions: </strong>3DE-derived coupling parameters offer a noninvasive and reliable approach for assessing RV-PA coupling in patients with pre-capillary PH, especially for patients who cannot accurately estimate pulmonary artery pressure or have undergone cardiac surgery. 3DE SV/ESV is superior to TAPSE/sPAP for assessing postoperative RV-PA coupling in CTEPH patients, TAPSE/sPAP remains a valuable parameter for prognostic risk stratification in pre-capillary PH patients. Echocardiography can provide valuable information for assessing RV-PA coupling and prognosis in patients with pre-capillary PH. However, the application of echocardiographic coupling parameters should be determined based on the specific clinical context.</p>","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":"25 1","pages":"108"},"PeriodicalIF":2.9,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11969710/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143778797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}