BMC Medical Imaging最新文献

{"title":"Utilization of the flow ratio measured by echocardiography (FR_echo) compared to the flow ratio by right heart catheterization (FR_rhc) for detecting Eisenmenger syndrome in uncorrected acyanotic adult congenital heart disease (ACHD).","authors":"Charlotte Johanna Cool, Achmad Fitrah Khalid, Norman Sukmadi","doi":"10.1186/s12880-025-01651-y","DOIUrl":"https://doi.org/10.1186/s12880-025-01651-y","url":null,"abstract":"<p><strong>Background: </strong>The increasing number of adult congenital heart disease (ACHD) patients, especially in low- and middle-income countries (LMICs), necessitates effective management methods. The Qp/Qs or flow ratio (FR) is crucial for this purpose because one of the indications for closure is a significant shunt. This study compares the utility of the transthoracic echocardiography (TTE)-derived flow ratio (FR_echo) with that of the right heart catheterization (RHC)-derived flow ratio (FR_rhc) to guide clinical decisions in resource-limited settings.</p><p><strong>Materials and methods: </strong>This cross-sectional study in Bandung, Indonesia, included 36 patients with uncorrected acyanotic ACHD who underwent both RHC and TTE on the same day. FR_echo was calculated using stroke volumes of the respective ventricles derived from Doppler measurements, and FR_rhc was measured using indirect Fick's method.</p><p><strong>Results: </strong>Of the 36 patients, 80.6% were female, with a median age of 31 (18-65) years. The majority had secundum atrial septal defects (61.1%). The mean FR_echo was 2.8 ± 1.5 and the median FR_rhc was 1.69 (0.46-3.89). FR_echo showed a significant positive correlation with FR_rhc (ρ = 0.656, p < 0.001). Bland‒Altman analysis revealed a mean difference of 1 (-1.4-3.3). Subgroup analysis of patients with a FRrhc shunt < 1 showed a mean difference of 0.7 (-1-2.3).</p><p><strong>Conclusion: </strong>TTE-derived FR_echo tends to overestimate FR compared to FR_rhc. FR_echo should not be used as a surrogate for FR_rhc in this population.</p>","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":"25 1","pages":"136"},"PeriodicalIF":2.9,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12032663/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143977871","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":"Predictive value of high-risk esophageal varices in cirrhosis based on dual-energy CT combined with clinical and serologic features.","authors":"Jiewen Chen, Fei Zhang, Shuitian Wu, Disi Liu, Liyang Yang, Meng Li, Ming Yin, Kun Ma, Ge Wen, Weikang Huang","doi":"10.1186/s12880-025-01681-6","DOIUrl":"https://doi.org/10.1186/s12880-025-01681-6","url":null,"abstract":"<p><strong>Objective: </strong>To investigate the predictive value of dual-energy CT (DECT) in combination with clinical and serologic features for noninvasive assessment of high-risk esophageal variceal (EV) in cirrhosis patients.</p><p><strong>Data and methods: </strong>120 patients who had undergone DECT and gastroscopy were retrospectively enrolled. They were categorized into low-risk variceal (LRV) and high-risk variceal (HRV) groups by gastroscopy (LRV: none, mild, HRV: moderate, severe). Clinical data, serologic and DECT parameters were recorded respectively. Multifactorial logistic regression analyses were conducted to develop clinical, serological, DECT, and combined models. AUC was utilized to assess the diagnostic performance. Non-parametric tests were employed to analyze differences in DECT parameters among different grading of EV.</p><p><strong>Results: </strong>In clinical model, ascites was the independent risk predictor, with 78.3% accuracy,50% sensitivity, 100% specificity, and an AUC of 0.693. The serological model revealed white blood cell count, hematocrit, alanine aminotransferase, and platelet count as predictors for HRV, demonstrating 83.3% accuracy, 90.9% sensitivity, 76.9% specificity, and an AUC of 0.784. The DECT model, identified liver normalized iodine volume (NIV-L) and spleen volume (V-S) as key predictors, with 84% accuracy, 72.7% sensitivity, 92.9% specificity, and an AUC of 0.84. The combined model, integrating NIV-L, V-S, and Ascites, demonstrated superior performance with 82.6% accuracy, 90% sensitivity, 76.9% specificity, and an AUC of 0.878, compared to the other models. Additionally, severe EV had higher V-S and NIV-S values than other grades (p < 0.05), with AUC of 0.874 and 0.864, respectively.</p><p><strong>Conclusion: </strong>DECT-based NIV-L, V-S, and presence of ascites can predict high-risk esophageal varices.</p><p><strong>Clinical relevance statement: </strong>Quantitative parameters of DECT can predict high-risk esophageal varices in cirrhotic patients, avoid gastroscopy, if possible, continue hierarchical management.</p><p><strong>Trial registration: </strong>retrospectively registered.</p>","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":"25 1","pages":"137"},"PeriodicalIF":2.9,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12032664/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143953104","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":"Magnetic resonance imaging findings in Ghanaian patients presenting with low back pain: a single centre study.","authors":"Godwill Acquah, Derick Seyram Sule, Lawrence Fesi, Kofi Adesi Kyei, Jacob Leonard Ago, Dennison Agala, William K Antwi","doi":"10.1186/s12880-025-01680-7","DOIUrl":"https://doi.org/10.1186/s12880-025-01680-7","url":null,"abstract":"<p><strong>Background: </strong>Due to the high prevalence of low back pain which impacts the lives of those affected, several studies have explored findings associated with the lumbar spine (which is the affected anatomy) using magnetic resonance imaging (MRI). This provides a better understanding of the pathology in the study setting and adds to the literature on the subject, which is useful during intervention and has implications for policymaking. However, there is a paucity of literature in the Ghanaian context. This study therefore explored the patterns of MRI findings in Ghanaian patients with low back pain.</p><p><strong>Method: </strong>A one-year retrospective cross-sectional design with a purposive sampling method was used to retrieve data from 59 MRI lumbar spine radiologist reports with a clinical history of low back pain. Data was analysed descriptively and inferentially. Inferentially, the Fisher's exact or chi-square (X²) test was utilised to ascertain associations between variables where appropriate. Phi coefficient and Cramer's V were used to assess the strength of significant associations. Statistical significance was deduced at p < 0.05.</p><p><strong>Results: </strong>Among the reports identified, 57.6% (n = 34) were associated with females and 32.4% (n = 25) were associated with males. The mean age across reports was 44.7 ± 16.1 years. Disc degeneration (93.2%, n = 55) and lumbar spondylolysis (76.3%, n = 45) were the two main findings identified as the most prevalent across reports. The lordotic curvatures of patients with low back pain were predominantly normal (74.6% n = 44). Disc degeneration was strongly associated with L4/L5 (V = 0.644, p = 0.001).</p><p><strong>Conclusion: </strong>The prevalent finding identified was disc degeneration frequently located at L4/L5. Several other abnormal findings were identified. Age was significantly associated with lumbar spondylosis. Disc degeneration and lumbar spondylosis were more frequent between ages 30 and 70 years.</p><p><strong>Clinical trial number: </strong>Not applicable.</p>","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":"25 1","pages":"135"},"PeriodicalIF":2.9,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12023586/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143958929","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":"Functional and imaging anomalies of the vestibular system in motion sickness: a clinical observation study.","authors":"Ling Chen, Guo-Hui Li, Li He, Liang-Juan Zhao, Na Bao","doi":"10.1186/s12880-025-01671-8","DOIUrl":"https://doi.org/10.1186/s12880-025-01671-8","url":null,"abstract":"<p><strong>Objective: </strong>The aim of this study is to investigate the differences in vestibular organ function tests and the temporal bone computed tomography (CT) findings between healthy individuals and patients with motion sickness (MS), providing a basis for establishing functional and imaging diagnostic criteria for MS.</p><p><strong>Method: </strong>Vestibular organ function tests and temporal bone CT imaging were performed on patients in the MS group (n = 50) and healthy individuals in the control group (n = 50). Functional and imaging anomalies of the vestibular organ were identified and their features and patterns were analyzed. Patients with MS were further stratified based on severity to examine whether temporal bone CT findings varied across severity grade, and indexes of diagnostic significance were identified.</p><p><strong>Results: </strong>Comparisons of vestibular function tests revealed significantly lower bilateral vestibular evoked myogenic potential (VEMP) amplitudes in the MS group compared to the control group, with statistical significance (P < 0.05). The severity of MS demonstrated a positive correlation with reductions in bilateral cervical VEMP (cVEMP) amplitudes (P < 0.05). Video head impulse test (v-HIT) results indicated statistically significant differences in the gains of the left anterior, right horizontal, and left posterior semicircular canals (P < 0.05). There were significant differences in the bilateral vestibular caloric test (CT) values (P < 0.05). In terms of the temporal bone CT findings in the two groups, the detection rate of high jugular bulb combined with sinusitis, poor mastoid pneumatization, diploetic mastoid, or sclerotic mastoid was higher in patients with MS than in the healthy control group. Additionally, the detection rate of temporal bone anomalies in CT scans was significantly higher in the very severe and severe MS groups compared to the mild and moderate MS groups.</p><p><strong>Conclusion: </strong>In this study, we found that patients with MS exhibited functional and structural anomalies in vestibular function and temporal bone CT findings, which were correlated with the severity of MS. These findings suggest that vestibular function tests and temporal bone CT imaging can be used as objective reference indexes for the diagnosis of MS and assessment of its severity.</p>","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":"25 1","pages":"133"},"PeriodicalIF":2.9,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12023658/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143977864","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":"Diagnostic performance of ultrasound elastography in differentiating malignant from benign breast microcalcifications: a case-control study.","authors":"Jing Yan, Sisi Fang","doi":"10.1186/s12880-025-01638-9","DOIUrl":"https://doi.org/10.1186/s12880-025-01638-9","url":null,"abstract":"<p><strong>Objective: </strong>To evaluate the sensitivity and specificity of ultrasound elastography in differentiating between malignant and benign breast microcalcifications through a case-control study.</p><p><strong>Methods: </strong>A total of 300 female patients were enrolled in this study, equally divided between malignant (n = 150) and benign (n = 150) microcalcification groups. The malignant cases were histologically confirmed as ductal carcinoma in situ or invasive breast cancer, while benign cases were confirmed through histology or follow-up as fibroadenoma, fibrocystic changes, or benign calcifications. Ultrasound elastography parameters, including elastic modulus (kPa), strain ratio, and elasticity scores, were measured and compared between groups. Multiple logistic regression analysis was performed to identify independent predictors, and diagnostic performance was evaluated using ROC curve analysis.</p><p><strong>Results: </strong>Malignant lesions demonstrated significantly higher mean elasticity values compared to benign lesions (88.3 ± 16.2 kPa vs. 45.7 ± 9.8 kPa, P < 0.001). The strain ratio and elasticity scores were also significantly elevated in the malignant group (both P < 0.001). Multivariate analysis identified elastic modulus (OR = 1.09, 95%CI: 1.06-1.12, P < 0.001) and strain ratio (OR = 2.50, 95%CI: 1.70-3.80, P < 0.001) as independent predictors of malignancy. Using an optimal cutoff value of 62 kPa for elasticity, the diagnostic sensitivity was 88.0% (95%CI: 81.5-92.8%) and specificity was 86.7% (95%CI: 79.5-91.9%), with an accuracy of 89.0%. The area under the ROC curve (AUC) for elasticity alone was 0.95 (95%CI: 0.92-0.98), which improved to 0.97 (95%CI: 0.94-0.99) when combined with strain ratio (P = 0.018). High interobserver agreement was demonstrated (Kappa = 0.84, 95%CI: 0.79-0.88), and Bland-Altman analysis confirmed excellent measurement reliability.</p><p><strong>Conclusion: </strong>Ultrasound elastography demonstrates high diagnostic accuracy in differentiating between malignant and benign breast microcalcifications, with excellent reproducibility and reliability. The combination of elasticity values and strain ratio provides superior diagnostic performance compared to single parameters alone, suggesting its potential as a valuable tool in clinical practice for the evaluation of breast microcalcifications.</p>","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":"25 1","pages":"134"},"PeriodicalIF":2.9,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12023353/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143967881","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 and applicability of magnetic resonance elastography of the lumbar spine in adults: a scoping review.","authors":"Jonas Kirkegaard Schmidt, Lau Brix, Karen Brage, Christin Isaksen, Gregory Neil Kawchuk, Johannes Castelein, Tue Secher Jensen","doi":"10.1186/s12880-025-01662-9","DOIUrl":"https://doi.org/10.1186/s12880-025-01662-9","url":null,"abstract":"<p><strong>Background: </strong>Magnetic Resonance Elastography (MRE) is a non-invasive imaging technique that quantifies tissue stiffness by analyzing shear wave propagation. While MRE is widely used in hepatic imaging, its application in the lumbar spine remains an emerging field. Understanding the repeatability and reproducibility of MRE measurements in the lumbar spine is crucial for its clinical implementation. This scoping review aims to summarize current evidence on the use and applicability of MRE for assessing lumbar spine structures, including intervertebral discs and paraspinal muscles.</p><p><strong>Methods: </strong>A systematic literature search was conducted in MEDLINE (PubMed), CINAHL, Embase, and The Cochrane Library. Studies investigating MRE of the lumbar spine in adult populations were included. Key aspects such as MRE acquisition methods, repeatability and reproducibility of measurements, and study heterogeneity were assessed. Extracted data were categorized based on study design, imaging techniques, and primary outcomes related to lumbar stiffness assessment.</p><p><strong>Results: </strong>This review identified 11 relevant studies. These studies demonstrated the capability of MRE to characterize shear stiffness in the lumbar intervertebral discs and paravertebral muscles, in both resting states, across various muscle conditions, and under different interventions such as physical activity and therapeutic taping. The review documents the heterogeneous methodological approaches of the studies, highlighting the innovative but varied approaches to this field. Due to this, diverse findings were reported, some of which were contradictory.</p><p><strong>Conclusion: </strong>The current evidence of MRE of the lumbar spine is promising though limited due to heterogeneous study methodologies. Future research should focus on larger, multicenter studies with standardized protocols. Despite the current limitations in evidence, MRE holds potential for non-invasive lumbar spine assessment and further research validation.</p>","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":"25 1","pages":"131"},"PeriodicalIF":2.9,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12016407/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143958299","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":"Dual contrast-enhanced ultrasound for diagnosing pathologic nipple discharge associated with papillary lesions.","authors":"Yanchun Zhao, Songsong Wu, Zhongtao Bao, Yucheng Lin, Ziwei Xu, Xing Chen, Lingpeng Tang, Guorong Lyu","doi":"10.1186/s12880-025-01674-5","DOIUrl":"https://doi.org/10.1186/s12880-025-01674-5","url":null,"abstract":"<p><strong>Background: </strong>The goal of this research study is to determine the efficacy of dual contrast-enhanced ultrasound (US) in evaluating ductal papillary lesions associated with pathological nipple discharge.</p><p><strong>Methods: </strong>A prospective multicenter study was conducted between January 2020 and December 2022. All participants were examined using dual contrast-enhanced US and had re-adjustment of BI-RADS classification. Genuine ductal papillary lesions were identified using US features and subsequently subjected to biopsy or excision. Using pathological results and clinical follow-up as the reference standard as a standard reference, we compared the diagnostic efficacy of dual contrast-enhanced US to conventional US in detecting papillary lesions.</p><p><strong>Results: </strong>The study included 102 female participants ranging in age from 29 to 80 years (average 47.6 ± 9.4), of whom 87 were retained for analysis. We precisely localized discharging ducts with papillary lesions in 85 patients, with 68 showing varying degrees of enhancement in papillary lesions. Compared to conventional US, dual contrast-enhanced US was more accurate in locating and detecting papillary lesions (P < 0.001). The optimized BI-RADS classification allowed for a more informed prediction of the malignancy risk associated with papillary lesions. Multivariate logistic regression analysis revealed that ductal continuity, the boundary between the nodule and duct, and peak intensity are independent risk factors for malignancy. The area under the curve for detecting malignant papillary lesions was 0.937.</p><p><strong>Conclusions: </strong>Dual contrast-enhanced US is effective at precisely locating lactiferous ducts in pathological nipple discharge, detecting and differentiating papillary lesions, and improving the accuracy of BI-RADS classification.</p>","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":"25 1","pages":"132"},"PeriodicalIF":2.9,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12020028/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143972393","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":"Deep learning for automated segmentation of brain edema in meningioma after radiosurgery.","authors":"Huai-Che Yang, Tzu-Chiang Peng, Zhi-Hong Chen, Cheng-Chia Lee, Hsiu-Mei Wu, I-Chun Lai, Ching-Jen Chen, Syu-Jyun Peng","doi":"10.1186/s12880-025-01660-x","DOIUrl":"https://doi.org/10.1186/s12880-025-01660-x","url":null,"abstract":"<p><strong>Background: </strong>Although gamma Knife radiosurgery (GKRS) is commonly used to treat benign brain tumors, such as meningioma, irradiating the surrounding brain tissue can lead to perifocal edema within a few months after the procedure. Volumetric assessment of perifocal edema is crucial for therapy planning and monitoring. Post-radiosurgery changes in perifocal edema, appearing as hyper-dense areas in magnetic resonance T2-weighted (T2w) images, are clearly identifiable; however, physicians lack tools to segment and quantify the volume of these T2w hyper-dense areas. This has hindered not only the quantification of severity but also research on edema growth and case differentiation.</p><p><strong>Methods: </strong>In this study, we trained a Mask Region-based Convolutional Neural Network (Mask R-CNN) to replace manual pre-processing in designating regions of interest. We also applied transfer learning to the DeepMedic deep learning model to facilitate the automatic segmentation and quantification of brain edema regions in images. The resulting quantitative findings were used to explore the effects of GKRS treatment on brain edema caused by meningioma.</p><p><strong>Results: </strong>We studied 21 patients with meningiomas who had undergone GKRS treatment based on 154 regularly tracked T2w scans. From this group, we selected 130 scans for random assignment to a training set (80 scans), validation set (30 scans), and test set (20 scans). The actual range of the edema in the T2w images was labeled manually by a clinical radiologist to serve as the gold standard in supervised learning. The trained model was tasked with segmenting the test set for comparison with the manual segmentation results. The average Dice similarity coefficient in these comparisons was 84.7%.</p><p><strong>Conclusions: </strong>The proposed scheme for the automated segmentation and quantification of brain edema post-radiosurgery demonstrated excellent results, suggesting its applicability to the development of predictive models.</p><p><strong>Trial registration: </strong>Not applicable.</p>","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":"25 1","pages":"130"},"PeriodicalIF":2.9,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12016358/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143973861","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":"Quantitative study on whole brain volume in patients with obstructive sleep apnea based on synthetic magnetic resonance imaging.","authors":"Yanpeng Li, Xiaomeng Du, Xiaoyan Lang, Zuojun Geng","doi":"10.1186/s12880-025-01678-1","DOIUrl":"https://doi.org/10.1186/s12880-025-01678-1","url":null,"abstract":"<p><strong>Objective: </strong>To apply SyMRI to quantify whole brain volume changes in patients with varying degrees of obstructive sleep apnea (OSA).</p><p><strong>Methods: </strong>A total of 49 untreated adult patients diagnosed with OSA via polysomnography (PSG) at our hospital were included in this study. Among these patients, 21 were categorized into the mild-to-moderate OSA group, and 28 into the severe OSA group. Additionally, 31 healthy adults were recruited as the healthy control (HC) group. SyMRI post-processing software was used to obtain whole brain volume segmentation values.</p><p><strong>Results: </strong>In terms of the STOP-BANG questionnaire, the score of the severe OSA group was significantly higher than that of the mild-to-moderate OSA group (P < 0.05). Compared with the HC group, the mild-to-moderate OSA group and the severe OSA group exhibited a reduction in N3-stage sleep (both P < 0.05). Post-hoc multiple comparisons showed that compared with the HC group, the severe OSA group had increased GMV, BPV, and ICV, while the mild-to-moderate OSA group showed an increase in CSFV (P < 0.05). Additionally, compared with the HC group, the mild-to-moderate OSA group exhibited a decrease and the severe OSA group showed an increase in MYV (P < 0.05). Multiple comparisons of normalized volume fractions revealed that GMF, WMF, CSFF, MYF and BPVF were significantly different between the HC group and OSA groups (all P < 0.05).</p><p><strong>Conclusion: </strong>The brain volume parameters generated from SyMRI can quantify the degree of brain injury in patients with OSA.</p><p><strong>Clinical trial number: </strong>Not applicable.</p>","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":"25 1","pages":"129"},"PeriodicalIF":2.9,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12016434/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143953111","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 systematic literature review: exploring the challenges of ensemble model for medical imaging.","authors":"Muhamad Rodhi Supriyadi, Azurah Bte A Samah, Jemie Muliadi, Raja Azman Raja Awang, Noor Huda Ismail, Hairudin Abdul Majid, Mohd Shahizan Bin Othman, Siti Zaiton Binti Mohd Hashim","doi":"10.1186/s12880-025-01667-4","DOIUrl":"https://doi.org/10.1186/s12880-025-01667-4","url":null,"abstract":"<p><strong>Background: </strong>Medical imaging has been essential and has provided clinicians with useful information about the human body to diagnose various health issues. Early diagnosis of diseases based on medical imaging can mitigate the risk of severe consequences and enhance long-term health outcomes. Nevertheless, the task of diagnosing diseases based on medical imaging can be challenging due to the exclusive ability of clinicians to interpret the outcomes of medical imaging, which is time-consuming and susceptible to human fallibility. The ensemble model has the potential to enhance the accuracy of diagnoses of diseases based on medical imaging by analyzing vast volumes of data and identifying trends that may not be immediately apparent to doctors. However, it takes a lot of memory and processing resources to train and maintain several ensemble models. These challenges highlight the necessity of effective and scalable ensemble models that can manage the intricacies of medical imaging assignments.</p><p><strong>Methods: </strong>This study employed an SLR technique to explore the latest advancements and approaches. By conducting a thorough and systematic search of Scopus and Web of Science databases in accordance with the principles outlined in the PRISMA, employing keywords namely ensemble model and medical imaging.</p><p><strong>Results: </strong>This study included a total of 75 papers that were published between 2019 and 2024. The categorization, methodologies, and use of medical imaging were key factors examined in the analysis of the 30 cited papers included in this study, with a focus on diagnosing diseases.</p><p><strong>Conclusions: </strong>Researchers have observed the emergence of an ensemble model for disease diagnosis using medical imaging since it has demonstrated improved accuracy and may guide future studies by highlighting the limitations of the ensemble model.</p>","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":"25 1","pages":"128"},"PeriodicalIF":2.9,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12007170/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143963013","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}