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Rethinking MRI Protocols for Pituitary Microadenomas: Prioritizing Non-Contrast Imaging for Safe Follow-Up. 重新思考垂体微腺瘤的MRI方案:优先采用非对比成像进行安全随访。
IF 2.2 4区 医学
Tomography Pub Date : 2025-09-12 DOI: 10.3390/tomography11090105
Fariba Zarei, Farideh Nematollahi, Asadolah Jalil, Banafsheh Zeinali-Rafsanjani, Mahdi Saeedi-Moghadam
{"title":"Rethinking MRI Protocols for Pituitary Microadenomas: Prioritizing Non-Contrast Imaging for Safe Follow-Up.","authors":"Fariba Zarei, Farideh Nematollahi, Asadolah Jalil, Banafsheh Zeinali-Rafsanjani, Mahdi Saeedi-Moghadam","doi":"10.3390/tomography11090105","DOIUrl":"10.3390/tomography11090105","url":null,"abstract":"<p><strong>Introduction and objectives: </strong>Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) has been used as a gold standard in diagnosing and following pituitary microadenomas. However, the use of gadolinium-based contrast agents (GBCAs) involves a potential risk of long-term retention in tissues and adverse reactions. This study aimed to evaluate the sensitivity of non-contrast MRI (T1W and T2W sequences) in follow-up imaging of pituitary microadenomas, attempting a comparison with DCE-MRI, assessing tumor stability over time.</p><p><strong>Materials and methods: </strong>We retrospectively reviewed 300 pituitary MRI scans between 2020 and 2024. Included were patients with confirmed microadenomas (≤10 mm). Non-contrast (T1W/T2W) and DCE-MRI sequences were analyzed by an experienced radiologist blinded to any clinical information. Detection rates and changes in tumor size were evaluated.</p><p><strong>Results: </strong>Detection rates for 79 microadenomas were 55.7% for T1W, 70.9% for T2W, and 88.6% for DCE-MRI. There was no significant tumor growth during the follow-up (mean size 4.80 ± 2.3 mm vs. 4.81 ± 2.4 mm, <i>p</i> > 0.5).</p><p><strong>Conclusions: </strong>While still more sensitive for the primary diagnosis, the non-contrast MRI was able to visualize the majority of detected microadenomas, and significant growth was ruled out, thus supporting the case to omit gadolinium from follow-up imaging in stable cases. This may translate to lower costs and decreased patient risk from contrast-related hazards.</p>","PeriodicalId":51330,"journal":{"name":"Tomography","volume":"11 9","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12473812/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145151676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Deep Learning-Based Diagnosis of Femoropopliteal Artery Steno-Occlusion Using Maximum Intensity Projection Images of CT Angiography. 基于CT血管造影最大强度投影图像深度学习诊断股腘动脉狭窄闭塞。
IF 2.2 4区 医学
Tomography Pub Date : 2025-09-08 DOI: 10.3390/tomography11090104
Wonju Hong, Jaewoong Kang, So Eui Kim, Taikyeong Jeong, Chang Jin Yoon, In Jae Lee, Lyo Min Kwon, Bum-Joo Cho
{"title":"Deep Learning-Based Diagnosis of Femoropopliteal Artery Steno-Occlusion Using Maximum Intensity Projection Images of CT Angiography.","authors":"Wonju Hong, Jaewoong Kang, So Eui Kim, Taikyeong Jeong, Chang Jin Yoon, In Jae Lee, Lyo Min Kwon, Bum-Joo Cho","doi":"10.3390/tomography11090104","DOIUrl":"10.3390/tomography11090104","url":null,"abstract":"<p><p><b>Background/Objectives</b>: To develop and validate deep learning-based models for detecting significant steno-occlusion (SSO)-defined as luminal narrowing greater than 50%-of the femoropopliteal arteries using maximum intensity projection (MIP) images from lower extremity CT angiography (CTA). <b>Methods</b>: This retrospective study utilized MIP images of lower extremity CTA performed between January 2021 and December 2023 for internal model development. Deep learning-based models were developed sequentially to diagnose SSO: screening with single anteroposterior image, followed by four-segment rotational analysis that divided each femoropopliteal artery into four segments and incorporated multi-angle images. Given the cropped images and the shape of stenosis, models were trained to classify the presence of SSO. A temporal validation dataset comprised MIP images from lower extremity CTA performed between January and June 2024. <b>Results</b>: In total, 56,496 segment images from 642 patients (mean age: 68.2 ± 13.5 years; 472 men) were included in the internal dataset. In the single-image analysis, RDNet achieved the highest mean AUC of 0.886 for SSO detection. In the four-segment rotational analysis, RDNet also demonstrated the highest mean AUC, reaching 0.964 in both half-set and full-set approaches. While RDNet recorded the highest mean AUC, all other models showed improved AUCs as the number of input images increased (<i>p</i> < 0.05). In the temporal validation dataset, RDNet again achieved the highest mean AUC (0.959) in the half-set analysis. <b>Conclusions</b>: The deep learning-based model, particularly RDNet, demonstrated excellent performance in detecting SSO of peripheral arteries on MIP images from lower extremity CTA.</p>","PeriodicalId":51330,"journal":{"name":"Tomography","volume":"11 9","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12473302/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145151554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Evaluation of Magnetization Transfer Contrast Sequences: Application to Monitor Age-Related Differences in Muscle Macromolecular Fraction. 评估磁化转移对比序列:应用于监测肌肉大分子分数的年龄相关差异。
IF 2.2 4区 医学
Tomography Pub Date : 2025-09-05 DOI: 10.3390/tomography11090103
Austin Crispin-Smith, Ti Wu, Ilana R Leppert, Agah Karakuzu, Shantanu Sinha, Usha Sinha
{"title":"Evaluation of Magnetization Transfer Contrast Sequences: Application to Monitor Age-Related Differences in Muscle Macromolecular Fraction.","authors":"Austin Crispin-Smith, Ti Wu, Ilana R Leppert, Agah Karakuzu, Shantanu Sinha, Usha Sinha","doi":"10.3390/tomography11090103","DOIUrl":"10.3390/tomography11090103","url":null,"abstract":"<p><strong>Background/objectives: </strong>Several sequences for magnetization transfer contrast (MTC) imaging are available, from indices of MTC ranging from quantitative magnetization transfer (qMT) that yields the macromolecular fraction to simple ratios of signal intensities with and without a magnetization transfer (MT) pulse. Aging muscle undergoes changes including an increase in fibrosis and adipose accompanied by fiber atrophy and loss. The objective is to evaluate five MTC sequences to study age-related differences in muscle tissue composition.</p><p><strong>Methods: </strong>The lower leg (calf) of 15 young (8M/7F, 25.8 ± 3.7 years) and 9 senior subjects (5F/4M, 68.4 ± 3.3 years) was imaged with the following sequences: multi-offset qMT fit to the Ramani and Yarnykh models, single-offset qMT two-parameter fit to the Ramani model, a semi-quantitative <i>MT<sub>sat</sub></i> sequence, magnetization transfer ratio (<i>MTR</i>), and MTR-corrected (<i>MTR<sub>corr</sub></i>) for B1 inhomogeneities. <i>T1</i> mapping was also performed. Statistical analysis was performed to identify significant age-related and regional (intermuscular) differences.</p><p><strong>Results: </strong>Significant age-related decreases (<i>p</i> < 0.001) in macromolecular fraction (from two-parameter fit), <i>MT<sub>sat</sub></i>, <i>MTR</i>, and <i>MTR<sub>corr</sub></i> were identified. A significant age-related increase in <i>T1</i> (<i>p</i> < 0.001) was also identified. Pearson correlation coefficients between <i>T1</i> and MTC indices were weak to moderate but significant.</p><p><strong>Conclusions: </strong>Age-related decreases in MTC may reflect that loss of myofibrillar proteins dominates the increase in collagen content with age. Further, the modest correlation of MTC indices with <i>T1</i> indicates that all the age-related differences in MTC cannot be explained by an increase in inflammation. The <i>MT<sub>sat</sub></i> sequence was identified as the most clinically relevant in terms of acquisition speed, post-processing simplicity, and ability to identify age-related differences in macromolecular fractions.</p>","PeriodicalId":51330,"journal":{"name":"Tomography","volume":"11 9","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12473340/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145151542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Self-Plagiarism and Redundant Publications: A True Scientific Misconduct. 自我抄袭和重复发表:真正的科学不端行为。
IF 2.2 4区 医学
Tomography Pub Date : 2025-09-02 DOI: 10.3390/tomography11090102
Emilio Quaia
{"title":"Self-Plagiarism and Redundant Publications: A True Scientific Misconduct.","authors":"Emilio Quaia","doi":"10.3390/tomography11090102","DOIUrl":"10.3390/tomography11090102","url":null,"abstract":"<p><p>This editorial provides insights on plagiarism, self-plagiarism, and redundant publications, which all represent a serious and common form of misconduct in research [...].</p>","PeriodicalId":51330,"journal":{"name":"Tomography","volume":"11 9","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12474262/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145151659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Bone Evaluation with Micro Finite Element Analysis in Animal Models. 动物模型骨评价微有限元分析。
IF 2.2 4区 医学
Tomography Pub Date : 2025-09-01 DOI: 10.3390/tomography11090101
Behnam Namiranian, Kenichiro Doi, Salem Alenezi, Sameer B Shah, Saeed Jerban, Eric Y Chang
{"title":"Bone Evaluation with Micro Finite Element Analysis in Animal Models.","authors":"Behnam Namiranian, Kenichiro Doi, Salem Alenezi, Sameer B Shah, Saeed Jerban, Eric Y Chang","doi":"10.3390/tomography11090101","DOIUrl":"10.3390/tomography11090101","url":null,"abstract":"<p><p>Micro-computed tomography (micro-CT) is a commonly used tool for bone evaluation in animal model research. Micro-scale finite element analysis (µFEA) has been proposed to account for different loading scenarios, detailed three-dimensional (3D) bone structure, material properties, and distribution obtained from micro-CT to estimate bone mechanical properties and to predict its potential fracture. The in vivo application of µFEA has been limited to animal models due to the smaller bore size of micro-CT and the long scan time. This narrative review article describes studies that used micro-CT-based µFEA to predict bone mechanical competence, understand bone fracture and remodeling mechanisms, and to evaluate the impacts of the therapeutics, implants, and surgical interventions. Moreover, the concept, limitations, and future potentials of micro-CT-based FEA are discussed.</p>","PeriodicalId":51330,"journal":{"name":"Tomography","volume":"11 9","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12473714/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145151541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Flexible Multi-Channel Deep Network Leveraging Texture and Spatial Features for Diagnosing New COVID-19 Variants in Lung CT Scans. 利用纹理和空间特征的灵活多通道深度网络在肺部CT扫描中诊断新的COVID-19变体。
IF 2.2 4区 医学
Tomography Pub Date : 2025-08-27 DOI: 10.3390/tomography11090099
Shervan Fekri-Ershad, Khalegh Behrouz Dehkordi
{"title":"A Flexible Multi-Channel Deep Network Leveraging Texture and Spatial Features for Diagnosing New COVID-19 Variants in Lung CT Scans.","authors":"Shervan Fekri-Ershad, Khalegh Behrouz Dehkordi","doi":"10.3390/tomography11090099","DOIUrl":"10.3390/tomography11090099","url":null,"abstract":"<p><strong>Background: </strong>The COVID-19 pandemic has claimed thousands of lives worldwide. While infection rates have declined in recent years, emerging variants remain a deadly threat. Accurate diagnosis is critical to curbing transmission and improving treatment outcomes. However, the similarity of COVID-19 symptoms to those of the common cold and flu has spurred the development of automated diagnostic methods, particularly through lung computed-tomography (CT) scan analysis.</p><p><strong>Methodology: </strong>This paper proposes a novel deep learning-based approach for detecting diverse COVID-19 variants using advanced textural feature extraction. The framework employs a dual-channel convolutional neural network (CNN), where one channel processes texture-based features and the other analyzes spatial information. Unlike existing methods, our model dynamically learns textural patterns during training, eliminating reliance on predefined features. A modified local binary pattern (LBP) technique extracts texture data in matrix form, while the CNN's adaptable internal architecture optimizes the balance between accuracy and computational efficiency. To enhance performance, hyperparameters are fine-tuned using the Adam optimizer and focal loss function.</p><p><strong>Results: </strong>The proposed method is evaluated on two benchmark datasets, COVID-349 and Italian COVID-Set, which include diverse COVID-19 variants.</p><p><strong>Conclusions: </strong>The results demonstrate its superior accuracy (94.63% and 95.47%, respectively), outperforming competing approaches in precision, recall, and overall diagnostic reliability.</p>","PeriodicalId":51330,"journal":{"name":"Tomography","volume":"11 9","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12473366/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145151585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Correlations of Lumbar Interspinous Distance with Neuroforaminal Dimensions, Disc Space Height, and Patient Demographic Factors. 腰椎棘突间距离与椎间孔尺寸、椎间盘间隙高度和患者人口统计学因素的相关性。
IF 2.2 4区 医学
Tomography Pub Date : 2025-08-27 DOI: 10.3390/tomography11090100
Carson Cummings, Zachary Brandt, Kai Nguyen, Asael Isaac, Jean-Carlos Gutierrez, Ashley Kempf, David Cheng, Joel D Carson, Emily Novak, Jacob Razzouk, Olumide Danisa, Wayne Cheng
{"title":"Correlations of Lumbar Interspinous Distance with Neuroforaminal Dimensions, Disc Space Height, and Patient Demographic Factors.","authors":"Carson Cummings, Zachary Brandt, Kai Nguyen, Asael Isaac, Jean-Carlos Gutierrez, Ashley Kempf, David Cheng, Joel D Carson, Emily Novak, Jacob Razzouk, Olumide Danisa, Wayne Cheng","doi":"10.3390/tomography11090100","DOIUrl":"10.3390/tomography11090100","url":null,"abstract":"<p><strong>Background/objectives: </strong>A thorough understanding of spinal anatomy is essential for diagnostic assessment and surgical intervention. Interspinous distance (ISD), neuroforaminal dimensions (NFDs), and disc space height (DSH) have each been studied separately; however, their interrelationship remains unstudied. Given the use of interspinous implants as a minimally invasive treatment for lumbar stenosis and degenerative disc disease, defining these relationships is of growing clinical significance. This study investigates the correlation between ISD and both NFDs and DSH in a normative population and whether ISD varies with demographic factors.</p><p><strong>Methods: </strong>A retrospective chart review was performed on 852 patients who underwent CT imaging of the lumbar spine. ISD was measured from L1 to L5 as the shortest distance between the most caudal tip of the superior spinous process and the inferior spinous process. DSH was measured at the anterior, middle, and posterior margins. NFDs were assessed in axial and sagittal views, including axial width, craniocaudal height, and foraminal area. Statistical analysis assessed correlations between ISD, NFDs, DSH, and demographic variables.</p><p><strong>Results: </strong>No strong correlation was observed between ISD and either NFDs or DSH. Slightly greater correlation was present at L1-L3, weakening at L4-L5, where interspinous implants are most commonly placed. Demographic analysis revealed no consistent relationship between ISD and ethnicity, sex, or BMI. While it may be expected that larger ISD correlates with greater NFDs or DSH, our findings do not support this assumption.</p><p><strong>Conclusions: </strong>ISD does not strongly correlate with NFDs or DSH, and demographic factors do not significantly influence ISD in a healthy population.</p>","PeriodicalId":51330,"journal":{"name":"Tomography","volume":"11 9","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12473633/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145151603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Association Between Thoracic Kyphosis and Hiatal Enlargement: A CT-Based Study Interpreted in Light of GERD-Linked Morphological Markers. 胸后凸与裂孔增大之间的关系:一项基于ct的研究,根据gerd相关的形态学标记进行解释。
IF 2.2 4区 医学
Tomography Pub Date : 2025-08-26 DOI: 10.3390/tomography11090098
Mustafa Mazıcan, Ismail Karluka, Davut Tuney
{"title":"Association Between Thoracic Kyphosis and Hiatal Enlargement: A CT-Based Study Interpreted in Light of GERD-Linked Morphological Markers.","authors":"Mustafa Mazıcan, Ismail Karluka, Davut Tuney","doi":"10.3390/tomography11090098","DOIUrl":"10.3390/tomography11090098","url":null,"abstract":"<p><strong>Background: </strong>Thoracic kyphosis has been increasingly associated with altered intra-abdominal and diaphragmatic dynamics, potentially contributing to gastroesophageal reflux disease (GERD) and hiatal hernia (HH). While previous studies have shown a relationship between spinal deformities and GERD symptoms, these findings have been largely observational, with few morphometric analyses. No prior study has directly quantified the relationship between thoracic curvature and hiatal surface area (HSA) using standardized computed tomography (CT)-based methods. Furthermore, existing studies have typically focused on patients with visible hernias, limiting understanding of early, subclinical anatomical changes. This study addresses this gap by evaluating whether thoracic kyphosis is associated with measurable hiatal enlargement, even in the absence of overt HH.</p><p><strong>Methods: </strong>In this retrospective, single-center study, 100 adult patients (50 with thoracic kyphosis, defined as a Cobb angle of ≥50° and 50 age- and sex-matched controls) underwent multidetector CT (MDCT). Hiatal surface area (HSA) was measured on a standardized oblique axial plane aligned with the diaphragmatic crura. Correlation and multivariable regression analyses were performed to assess relationships between Cobb angle and HSA.</p><p><strong>Results: </strong>The kyphosis group showed significantly larger HSA than controls (5.14 ± 1.31 cm<sup>2</sup> vs. 3.59 ± 0.74 cm<sup>2</sup>; <i>p</i> < 0.001). A moderate positive correlation was found between Cobb angle and HSA (r = 0.336, <i>p</i> = 0.017). Multivariable analysis identified the Cobb angle as an independent predictor of HSA (β = 0.028; <i>p</i> = 0.017), while age and sex were not significant predictors. No overt herniation was present in any subject.</p><p><strong>Conclusions: </strong>This is the first CT-based morphometric study to demonstrate that thoracic kyphosis is associated with hiatal enlargement, even in the absence of overt herniation. These findings support the hypothesis that postural spinal deformities may predispose individuals to GERD by structurally remodeling the diaphragmatic hiatus.</p>","PeriodicalId":51330,"journal":{"name":"Tomography","volume":"11 9","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12473770/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145151551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Validation of a Newly Developed Assessment Tool for Point-of-Care Ultrasound of the Thorax in Healthy Volunteers (VALPOCUS). 一种新开发的健康志愿者胸部即时超声评估工具(VALPOCUS)的验证。
IF 2.2 4区 医学
Tomography Pub Date : 2025-08-26 DOI: 10.3390/tomography11090097
Patrick Hoffmann, Tobias Hüppe, Nicolas Poncelet, Julius J Weise, Ulrich Berwanger, David Conrad
{"title":"Validation of a Newly Developed Assessment Tool for Point-of-Care Ultrasound of the Thorax in Healthy Volunteers (VALPOCUS).","authors":"Patrick Hoffmann, Tobias Hüppe, Nicolas Poncelet, Julius J Weise, Ulrich Berwanger, David Conrad","doi":"10.3390/tomography11090097","DOIUrl":"10.3390/tomography11090097","url":null,"abstract":"<p><strong>Objectives: </strong>Point-of-care ultrasound (POCUS) has become an integral part of emergency, intensive care, and perioperative medicine. However, the training and subsequent evaluation of POCUS users are still not standardized. The aim of the study was to develop and validate an assessment tool for POCUS users.</p><p><strong>Methods: </strong>After reviewing the existing literature and a multi-stage expert survey (Delphi method), consensus on twelve items for the assessment tool was reached. To validate the assessment tool, a group of volunteer doctors and medical students performed a POCUS examination using simple linear probe and more complex sector probe techniques. The examination was evaluated by two independent assessors using the created assessment tool. Then, four experts evaluated anonymized recordings of the examinations. We tested the reliability and validity, including internal consistency.</p><p><strong>Results: </strong>A total of 70 examinations were included. Of these, 19 examinations were carried out by physicians and 51 by medical students. A high inter-rater reliability (Cohen's kappa 0.78 (linear weighted; SEM 0.37; <i>p</i> < 0.001) and Krippendorff's alpha 0.895) was shown for the evaluation tool. To improve discriminative power and strengthen reliability, the assessment tool was modified using Cronbach's alpha. Modification resulted in the removal of three items (patient positioning, ultrasound mode selection, and probe selection) from the tool. The mean values of instrument and expert ratings were now 2.62% apart (46.90% instrument vs. 44.29% expert). Pearson's correlation coefficient between tool and expert ratings showed moderate to high validity (r = 0.69; <i>p</i> < 0.001).</p><p><strong>Conclusions: </strong>The new assessment tool is highly reliable and a valid tool for assessing POCUS skills. It holds strong potential for integration into medical education and training to objectify ultrasound skills. Further studies are required to investigate discriminatory power and transferability to other POCUS algorithms.</p>","PeriodicalId":51330,"journal":{"name":"Tomography","volume":"11 9","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12473796/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145151704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Performance of a Deep Learning Reconstruction Method on Clinical Chest-Abdomen-Pelvis Scans from a Dual-Layer Detector CT System. 一种深度学习重建方法在双层检测CT系统临床胸腹骨盆扫描中的表现。
IF 2.2 4区 医学
Tomography Pub Date : 2025-08-25 DOI: 10.3390/tomography11090094
Christopher Schuppert, Stefanie Rahn, Nikolas D Schnellbächer, Frank Bergner, Michael Grass, Hans-Ulrich Kauczor, Stephan Skornitzke, Tim F Weber, Thuy D Do
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