Clinical Imaging最新文献_第4页

Commentary on mentorship in residency with novel program: Mentorship Expanded Networking and Teaching to Integrate and Enhance Residency (MEN-TIER) 通过新颖的计划对住院实习中的导师制进行评论：导师扩大网络和教学，整合并加强住院实习（MEN-TIER）

IF 1.8 4区医学

Clinical Imaging Pub Date : 2024-08-14 DOI: 10.1016/j.clinimag.2024.110265

{"title":"Commentary on mentorship in residency with novel program: Mentorship Expanded Networking and Teaching to Integrate and Enhance Residency (MEN-TIER)","authors":"","doi":"10.1016/j.clinimag.2024.110265","DOIUrl":"10.1016/j.clinimag.2024.110265","url":null,"abstract":"<div><h3>Background</h3><p>Mentorship is the foundation for training and career development.</p><p>However, only about half of interventional radiology (IR) residency programs in the United States have a formal mentorship program at their institution. A new tiered mentorship program was introduced at our institution.</p></div><div><h3>Methods</h3><p>A structured mentorship program was created at our institution in 2020 for IR residents to pair 1–2 faculty advisors with a group of residents, one from each PGY class, based on personal interests and career paths. A quality improvement survey with Likert scale format (1–5) was sent to IR residents and faculty members.</p></div><div><h3>Results</h3><p>Responses were recorded from 11 IR residents in addition to all 6 IR faculty mentors. IR respondents reported satisfaction with feeling more assimilated in the department and all would recommend the current mentorship model to other institutions. Most respondents agreed the program made them comfortable conducting effective mentorship relationships as an attending and that the tiered structured of being mentee and mentor simultaneously was beneficial. Both IR residents and faculty agreed that the program helped prevent burnout.</p></div><div><h3>Conclusions</h3><p>The tiered mentorship model has had a positive impact on the IR program by providing structured mentoring and longitudinal relationships. The most notable benefits for IR residents is the early integration into the program, sustained mentorships relationships, and the prevention of burnout. Similar models can help other programs establish structured faculty and peer mentorship for residents early in training.</p></div>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142084376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Differentiation of intrathoracic lymph node histopathology by volumetric dual energy CT radiomic analysis 通过容积双能 CT 放射线学分析区分胸腔内淋巴结组织病理学。

IF 1.8 4区医学

Clinical Imaging Pub Date : 2024-08-10 DOI: 10.1016/j.clinimag.2024.110252

{"title":"Differentiation of intrathoracic lymph node histopathology by volumetric dual energy CT radiomic analysis","authors":"","doi":"10.1016/j.clinimag.2024.110252","DOIUrl":"10.1016/j.clinimag.2024.110252","url":null,"abstract":"<div><h3>Purpose</h3><p>To determine the performance of volumetric dual energy low kV and iodine radiomic features for the differentiation of intrathoracic lymph node histopathology, and influence of contrast protocol.</p></div><div><h3>Materials and methods</h3><p>Intrathoracic lymph nodes with histopathologic correlation (neoplastic, granulomatous sarcoid, benign) within 90 days of DECT chest imaging were volumetrically segmented. 1691 volumetric radiomic features were extracted from iodine maps and low-kV images, totaling 3382 features. Univariate analysis was performed using 2-sample <em>t</em>-test and filtered for false discoveries. Multivariable analysis was used to compute AUCs for lymph node classification tasks.</p></div><div><h3>Results</h3><p>129 lymph nodes from 72 individuals (mean age 61 ± 15 years) were included, 52 neoplastic, 51 benign, and 26 granulomatous-sarcoid. Among all contrast enhanced DECT protocol exams (routine, PE and CTA), univariable analysis demonstrated no significant differences in iodine and low kV features between neoplastic and non-neoplastic lymph nodes; in the subset of neoplastic versus benign lymph nodes with routine DECT protocol, 199 features differed (<em>p</em> = .01- < 0.05).</p><p>Multivariable analysis using both iodine and low kV features yielded AUCs >0.8 for differentiating neoplastic from non-neoplastic lymph nodes (AUC 0.86), including subsets of neoplastic from granulomatous (AUC 0.86) and neoplastic from benign (AUC 0.9) lymph nodes, among all contrast protocols.</p></div><div><h3>Conclusions</h3><p>Volumetric DECT radiomic features demonstrate strong collective performance in differentiation of neoplastic from non-neoplastic intrathoracic lymph nodes, and are influenced by contrast protocol.</p></div>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0899707124001827/pdfft?md5=57b4ba93e3c0f1113faea058926b4d75&pid=1-s2.0-S0899707124001827-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141977116","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

Development of a multi-modal learning-based lymph node metastasis prediction model for lung cancer 开发基于多模态学习的肺癌淋巴结转移预测模型

IF 1.8 4区医学

Clinical Imaging Pub Date : 2024-08-09 DOI: 10.1016/j.clinimag.2024.110254

{"title":"Development of a multi-modal learning-based lymph node metastasis prediction model for lung cancer","authors":"","doi":"10.1016/j.clinimag.2024.110254","DOIUrl":"10.1016/j.clinimag.2024.110254","url":null,"abstract":"<div><h3>Purpose</h3><p>This study proposed a three-dimensional (3D) multi-modal learning-based model for the automated prediction and classification of lymph node metastasis in patients with non-small cell lung cancer (NSCLC) using computed tomography (CT) images and clinical information.</p></div><div><h3>Methods</h3><p>We utilized clinical information and CT image data from 4239 patients with NSCLC across multiple institutions. Four deep learning algorithm-based multi-modal models were constructed and evaluated for lymph node classification. To further enhance classification performance, a soft-voting ensemble technique was applied to integrate the outcomes of multiple multi-modal models.</p></div><div><h3>Results</h3><p>A comparison of the classification performance revealed that the multi-modal model, which integrated CT images and clinical information, outperformed the single-modal models. Among the four multi-modal models, the Xception model demonstrated the highest classification performance, with an area under the curve (AUC) of 0.756 for the internal test dataset and 0.736 for the external validation dataset. The ensemble model (SEResNet50_DenseNet121_Xception) exhibited even better performance, with an AUC of 0.762 for the internal test dataset and 0.751 for the external validation dataset, surpassing the multi-modal model's performance.</p></div><div><h3>Conclusions</h3><p>Integrating CT images and clinical information improved the performance of the lymph node metastasis prediction models in patients with NSCLC. The proposed 3D multi-modal lymph node prediction model can serve as an auxiliary tool for evaluating lymph node metastasis in patients with non-pretreated NSCLC, aiding in patient screening and treatment planning.</p></div>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141993261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A roadmap to success: Securing a radiology residency through a research fellowship – Insights from a former international fellow 成功路线图：通过研究奖学金获得放射科住院医师资格--前国际研究员的见解。

IF 1.8 4区医学

Clinical Imaging Pub Date : 2024-08-09 DOI: 10.1016/j.clinimag.2024.110250

引用次数: 0

Imaging for breast pain: A useful paradigm to promote breast cancer screening and reduce unnecessary breast imaging 乳房疼痛成像：促进乳腺癌筛查和减少不必要的乳腺成像的有效范例。

IF 1.8 4区医学

Clinical Imaging Pub Date : 2024-08-09 DOI: 10.1016/j.clinimag.2024.110253

{"title":"Imaging for breast pain: A useful paradigm to promote breast cancer screening and reduce unnecessary breast imaging","authors":"","doi":"10.1016/j.clinimag.2024.110253","DOIUrl":"10.1016/j.clinimag.2024.110253","url":null,"abstract":"<div><h3>Objective</h3><p>Identify the proportion of patients presenting for diagnostic breast imaging with clinically insignificant breast pain who are eligible for screening mammography and analyze the impact of routing these patients to screening on resource utilization, healthcare spending and cancer detection.</p></div><div><h3>Methods</h3><p>We retrospectively reviewed 100 consecutive women ≥40 years old without a history of breast cancer who underwent diagnostic mammogram and breast ultrasound for clinically insignificant breast pain from 1/2022 to 4/2022. Patients were screen-eligible if their last bilateral mammogram was over 12 months prior to presentation. Patients with only screening views during diagnostic mammography were assumed to have a negative/benign screening mammogram. Costs were calculated using the Centers for Medicare & Medicaid Services Physician Fee Schedule.</p></div><div><h3>Results</h3><p>68 of 100 patients with breast pain were screen-eligible at time of diagnostic imaging. With a screen first approach, 47/68 would have had negative/benign screening mammograms, allowing for the availability of 47 diagnostic breast imaging appointments. The current workflow led to 100 diagnostic mammograms and ultrasounds, 29 follow-up ultrasounds, and 10 image-guided biopsies, with a total cost of $42,872.41. With a screen first approach, there would have been 68 screening mammograms, 53 diagnostic mammograms and ultrasounds, 10 follow-up ultrasounds, and 9 image-guided biopsies, with a total cost of $34,231.60. Two cancers were identified, both associated with suspicious mammographic findings. None would have been missed in a screen-first approach.</p></div><div><h3>Discussion</h3><p>Identifying screen-eligible patients with clinically insignificant breast pain and routing them to screening mammogram improves radiology resource allocation and decreases healthcare spending without missing any cancers.</p></div>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0899707124001839/pdfft?md5=70981d55587708a379d2c7c978f618ea&pid=1-s2.0-S0899707124001839-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141989435","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

I saw the “hook” sign of median arcuate ligament syndrome 我看到了正中弓状韧带综合征的 "钩 "征。

IF 1.8 4区医学

Clinical Imaging Pub Date : 2024-08-02 DOI: 10.1016/j.clinimag.2024.110249

引用次数: 0

Comparing the diagnostic performance of [18F]FDG PET/CT and [18F]FDG PET/MRI for detecting cardiac sarcoidosis: A meta-analysis 比较[18F]FDG PET/CT和[18F]FDG PET/MRI在检测心脏肉瘤病方面的诊断性能：荟萃分析。

IF 1.8 4区医学

Clinical Imaging Pub Date : 2024-08-02 DOI: 10.1016/j.clinimag.2024.110248

{"title":"Comparing the diagnostic performance of [18F]FDG PET/CT and [18F]FDG PET/MRI for detecting cardiac sarcoidosis: A meta-analysis","authors":"","doi":"10.1016/j.clinimag.2024.110248","DOIUrl":"10.1016/j.clinimag.2024.110248","url":null,"abstract":"<div><h3>Purpose</h3><p>This meta-analysis aimed to evaluate the comparative diagnostic efficacy of [<sup>18</sup>F]FDG PET/CT and [<sup>18</sup>F]FDG PET/MRI in detecting cardiac sarcoidosis.</p></div><div><h3>Methods</h3><p>An extensive search was conducted in the PubMed and Embase databases to identify available publications up to November 2023. Studies were included if they evaluated the diagnostic efficacy of [<sup>18</sup>F]FDG PET/CT and [<sup>18</sup>F]FDG PET/MRI in patients with cardiac sarcoidosis. Sensitivity and specificity were evaluated using the DerSimonian and Laird method, with subsequent transformation via the Freeman-Tukey double inverse sine transformation. Publication bias was assessed using funnel plots and Egger's test.</p></div><div><h3>Results</h3><p>16 articles involving 1361 patients were included in the meta-analysis. The overall sensitivity of [<sup>18</sup>F]FDG PET/CT in detecting cardiac sarcoidosis was 0.77(95%CI: 0.62–0.89), while the overall sensitivity of [<sup>18</sup>F]FDG PET/MRI was 0.94(95%CI: 0.84–1.00). The result indicated that [<sup>18</sup>F]FDG PET/MRI appears to a higher sensitivity in comparison to [<sup>18</sup>F]FDG PET/CT(<em>P</em> = 0.02). In contrast, the overall specificity of [<sup>18</sup>F]FDG PET/CT in detecting cardiac sarcoidosis was 0.90(95%CI: 0.85–0.94), while the overall specificity of [<sup>18</sup>F]FDG PET/MRI was 0.79(95%CI: 0.53–0.96), with no significant difference in specificity (<em>P</em> = 0.32).</p></div><div><h3>Conclusions</h3><p>Our meta-analysis indicates that [<sup>18</sup>F]FDG PET/MRI demonstrates superior sensitivity and comparable specificity to [<sup>18</sup>F]FDG PET/CT in detecting cardiac sarcoidosis. However, the small number of PET/MRI studies limited the evidence of current results. To validate these results, larger, prospective studies employing a head-to-head design are needed.</p></div>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141890773","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Letter to the editor regarding assessing breast arterial calcification in mammograms and its implications for atherosclerotic cardiovascular disease risk 致编辑的信，内容涉及评估乳房 X 光照片中的乳房动脉钙化及其对动脉粥样硬化性心血管疾病风险的影响。

IF 1.8 4区医学

Clinical Imaging Pub Date : 2024-07-31 DOI: 10.1016/j.clinimag.2024.110243

引用次数: 0

The impact of high-order features on performance of radiomics studies in CT non-small cell lung cancer 高阶特征对 CT 非小细胞肺癌放射组学研究性能的影响。

IF 1.8 4区医学

Clinical Imaging Pub Date : 2024-07-30 DOI: 10.1016/j.clinimag.2024.110244

{"title":"The impact of high-order features on performance of radiomics studies in CT non-small cell lung cancer","authors":"","doi":"10.1016/j.clinimag.2024.110244","DOIUrl":"10.1016/j.clinimag.2024.110244","url":null,"abstract":"<div><p>High-order radiomic features have been shown to produce high performance models in a variety of scenarios. However, models trained without high-order features have shown similar performance, raising the question of whether high-order features are worth including given their increased computational burden. This comparative study investigates the impact of high-order features on model performance in CT-based Non-Small Cell Lung Cancer (NSCLC) and the potential uncertainty regarding their application in machine learning. Three categories of features were retrospectively retrieved from CT images of 347 NSCLC patients: first- and second-order statistical features, morphological features and transform (high-order) features. From these, three datasets were constructed: a “low-order” dataset (Lo) which included the first-order, second-order, and morphological features, a high-order dataset (Hi), and a combined dataset (Combo). A diverse selection of datasets, feature selection methods, and predictive models were included for the uncertainty analysis, with two-year survival as the study endpoint. AUC values were calculated for comparisons and Kruskal-Wallis testing was performed to determine significant differences. The Hi (AUC: 0.41–0.62) and Combo (AUC: 0.41–0.62) datasets generate significantly (<em>P</em> < 0.01) higher model performance than the Lo dataset (AUC: 0.42–0.58). High-order features are selected more often than low-order features for model training, comprising 87 % of selected features in the Combo dataset. High-order features are a source of data that can improve machine learning model performance. However, its impact strongly depends on various factors that may lead to inconsistent results. A clear approach to incorporate high-order features in radiomic studies requires further investigation.</p></div>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141890774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A cost-free approach to evaluating vertebral body bone density and height loss in lung transplant recipients using routine chest CT 使用常规胸部 CT 评估肺移植受者椎体骨密度和身高损失的无成本方法。

IF 1.8 4区医学

Clinical Imaging Pub Date : 2024-07-30 DOI: 10.1016/j.clinimag.2024.110246

{"title":"A cost-free approach to evaluating vertebral body bone density and height loss in lung transplant recipients using routine chest CT","authors":"","doi":"10.1016/j.clinimag.2024.110246","DOIUrl":"10.1016/j.clinimag.2024.110246","url":null,"abstract":"<div><h3>Background</h3><p>To assess changes in bone density and vertebral body height of patients undergoing lung transplant surgery using computed tomography (CT).</p></div><div><h3>Methods</h3><p>This institutional review board (IRB) approved retrospective observational study enrolled patients with a history of lung transplant who had at least two chest CT scans. Vertebral body bone density (superior, middle, and inferior sections) and height (anterior, middle, and posterior sections) were measured at T1-T12 at baseline and follow up CT scans. Changes in the mean bone density, mean vertebral height, vertebral compression ratio (VBCR), percentage of anterior height compression (PAHC), and percentage of middle height compression (PMHC) were calculated and analyzed.</p></div><div><h3>Results</h3><p>A total of 93 participants with mean age of 58 ± 12.3 years were enrolled. The most common underlying disease that led to lung transplants was interstitial lung diseases (57 %). The inter-scan interval was 34.06 ± 24.8 months. There were significant changes (<em>p</em>-value < 0.05) in bone density at all levels from T3 to T12, with the greatest decline at the T10 level from 163.06 HU to 141.84 HU (<em>p</em>-value < 0.05). The average VBCR decreased from 96.91 to 96.15 (<em>p</em>-value < 0.05).</p></div><div><h3>Conclusion</h3><p>Routine chest CT scans demonstrate a gradual decrease in vertebral body bone density over time in lung transplant recipients, along with evident anatomic changes such as vertebral body bone compression. This study shows that utilizing routine chest CT for lung transplant recipients can be regarded as a cost-free tool for assessing the vertebral body bone changes in these patients and potentially aiding in the prevention of complications related to osteoporosis.</p></div>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141890772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0