Clinical Imaging最新文献

{"title":"Women in Radiology Education (WIRED): An actionable step towards closing the gender gap in radiology.","authors":"Laura E Minton, Jordan Perchik, Cathy Chen, Renu Pandit, Desmin Milner, Rachel Bass, Elainea Smith, Jessica Zarzour","doi":"10.1016/j.clinimag.2024.110330","DOIUrl":"https://doi.org/10.1016/j.clinimag.2024.110330","url":null,"abstract":"<p><p>As the representation of women in medicine has grown and reached parity in some specialties over the past two decades, radiology has not only lagged behind, but has remained stagnant. To strengthen the pipeline, the field must institute policies and practices to retain women in radiology and must effectively recruit and mentor women in medical school to enter the field. Women in medical school who are pursuing radiology, however, often struggle to find women mentors, opportunities for research, leadership, and service, and critically, often struggle to find a community that speaks to their experience. WIRED (Women in Radiology Education) is a student-led group dedicated to community building and advancing radiology mentorship, research, and service opportunities for women in medical school. This step-by-step guide to founding a WIRED chapter with examples of successful chapter events can enable radiology programs to provide targeted mentorship to women in medical school, and ultimately, increase the representation of women in radiology.</p>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142479853","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}

{"title":"Heart lung axis in acute pulmonary embolism: Role of CT in risk stratification","authors":"","doi":"10.1016/j.clinimag.2024.110311","DOIUrl":"10.1016/j.clinimag.2024.110311","url":null,"abstract":"<div><div>Pulmonary embolism (PE) remains a significant cause of mortality requiring prompt diagnosis and risk stratification. This review focuses on the role of computed tomography (CT) in the risk stratification of acute PE, highlighting its impact on patient management. We will explore basic pathophysiology of pulmonary embolism (PE) and review current guidelines, which will help radiologists interpret images within a broader clinical context. This review covers key CT findings which can be used for risk stratification including indicators of right ventricular (RV) dysfunction, clot burden, clot location and left atrial volume. We will discuss the measurement of RV/LV diameter ratio as a key indicator of RV dysfunction and its limitations and challenges within various patient populations. While these parameters should be included in a radiologist's report, their predictive value for mortality depends on the patient's existing cardiopulmonary reserve and should not be interpreted in isolation.</div></div>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142442271","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}

{"title":"Factors affecting mammogram breast cancer surveillance effectiveness in the ipsilateral and contralateral breast","authors":"","doi":"10.1016/j.clinimag.2024.110308","DOIUrl":"10.1016/j.clinimag.2024.110308","url":null,"abstract":"<div><h3>Aim</h3><div>Mammography is the mainstay of imaging surveillance after breast cancer (BC) treatment, but false negatives can occur. The objective of the study was to determine the factors that can predict poorer second breast cancer (SBC) mammogram detection of the ipsilateral and contralateral breast separately.</div></div><div><h3>Methods</h3><div>A multicentre retrospective review was performed on female patients with a previous history of treated BC who developed a second breast cancer (SBC) in the ipsilateral (ISBC) or contralateral breast (CSBC) within 10 years from the first BC. SBC cases that occurred between January 2006 and October 2017 were included from the institutional database. The ISBC and CSBC mammogram-occult (MO) rates were correlated with mammographic breast density as well as various clinical, radiological and histological characteristics of the first BC.</div></div><div><h3>Results</h3><div>274 cases of SBC were evaluated. 39.4 % (108/274) of cases were ISBC and 60.6 % (166/274) were CSBC. 35 (32.4 %) of the ISBCs and 42 (25.3 %) of the CSBCs were MO (<em>p</em> = 0.218). On multivariate analysis, symptomatic first BC (<em>p</em> = 0.041), prevailing dense breast tissue at the time of SBC diagnosis (<em>p</em> = 0.003) and trabecular thickening on surveillance mammograms (<em>p</em> = 0.017) were associated with MO ISBC. MO first BC (<em>p</em> &lt; 0.001) was the only factor found to correlate with MO CSBC.</div></div><div><h3>Conclusion</h3><div>The study found various clinical, radiological and pathological factors associated with mammogram surveillance failure for the ipsilateral and contralateral breast. This information can provide additional guidance in the planning of a personalised surveillance program using adjunct imaging screening.</div></div>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142445526","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}

{"title":"Clinical experience on the limited role of ultrasound for breast cancer screening in BRCA1 and BRCA2 mutations carriers aged 30–39 years","authors":"","doi":"10.1016/j.clinimag.2024.110310","DOIUrl":"10.1016/j.clinimag.2024.110310","url":null,"abstract":"<div><h3>Purpose</h3><div>In BRCA germline pathogenic sequence variants (PSV) carriers aged 30–39 years imaging is recommended at six-month intervals. The European society for medical oncology recommendation of the use of 6-monthly MRI six-monthly MRI screening is being considered at our institution, particularly for younger carriers under the age of 35, although it is not mandatory. If 6-monthly MRI is unavailable, annual MRI may be supplemented by ultrasound (with or without mammography). The aim of this study was to evaluate the utility of ultrasound screening added to mammography, as a 6-month supplement to annual MRI in BRCA PSV carriers aged 30–39 years.</div></div><div><h3>Materials and methods</h3><div>This IRB approved retrospective study included BRCA PSV carriers aged 30–39 years, who underwent breast cancer screening at our institution between January 2015 and March 2023. Participants were divided into two groups, those who had supplemental whole-breast US and mammography at six months and underwent screening before March 2019, and those who had only mammography without supplemental US and enrolled in screening after March 2019. Patient characteristics, cancer detection rates and cancer characteristics were compared between the two groups.</div></div><div><h3>Results</h3><div>Overall, 200 asymptomatic BRCA1/2 PSV carriers undergoing screening in our institution were included in the study. Mean age was 35.7 ± 3.5 years, and mean follow-up time was 37.4 ± 38.0 months. There were 118 (59 %) women screened with supplemental US, and 82 (41 %) women without. Eight cancers were diagnosed during the study period, four in women with supplemental US and four in women without. The sensitivity of whole-breast screening US was 25 % (1/4), specificity 85.7 % (222/259), PPV 2.6 % (1/38), and NPV 98.7 % (222/225). Of the four cancers detected in women screened with supplemental US, one was diagnosed by whole-breast US, two by MRI, and one by mammography. Of eight cancers included in this study, two were not detectable by targeted second-look US. All eight cancers were detectable by MRI.</div></div><div><h3>Conclusion</h3><div>The addition of whole-breast ultrasound to mammography and MRI screening in BRCA PSV carriers aged 30–39 years offered limited incremental benefit. MRI with 6 months supplemental mammography without US detected all cancer cases.</div></div>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142407170","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}

{"title":"Low-field MRI lung opacity severity associated with decreased DLCO in post-acute Covid-19 patients","authors":"","doi":"10.1016/j.clinimag.2024.110307","DOIUrl":"10.1016/j.clinimag.2024.110307","url":null,"abstract":"<div><h3>Objectives</h3><div>To evaluate the clinical significance of low-field MRI lung opacity severity.</div></div><div><h3>Methods</h3><div>Retrospective cross-sectional analysis of post-acute Covid-19 patients imaged with low-field MRI from 9/2020 through 9/2022, and within 1 month of pulmonary function tests (PFTs), 6-min walk test (6mWT), and symptom inventory (SI), and/or within 3 months of St. George Respiratory Questionnaire (SGRQ) was performed.</div><div>Univariate and correlative analyses were performed with Wilcoxon, Chi-square, and Spearman tests. The association between disease and demographic factors and MR opacity severity, PFTs, 6mWT, SI, and SGRQ, and association between MR opacity severity with functional and patient-reported outcomes (PROs), was evaluated with mixed model analysis of variance, covariance and generalized estimating equations. Two-sided 5 % significance level was used, with Bonferroni multiple comparison correction.</div></div><div><h3>Results</h3><div>81 MRI exams in 62 post-acute Covid-19 patients (median age 57, IQR 41–64; 25 women) were included. Exams were a median of 8 months from initial illness. Univariate analysis showed lung opacity severity was associated with decreased %DLCO (ρ = −0.55, <em>P</em> = .0125), and lung opacity severity quartile was associated with decreased %DLCO, predicted TLC, FVC, and increased FEV1/FVC.</div><div>Multivariable analysis adjusting for sex, initial disease severity, and interval from Covid-19 diagnosis showed MR lung opacity severity was associated with decreased %DLCO (<em>P</em> &lt; .001). Lung opacity severity was not associated with PROs.</div></div><div><h3>Conclusion</h3><div>Low-field MRI lung opacity severity correlated with decreased %DLCO in post-acute Covid-19 patients, but was not associated with PROs.</div></div>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142394953","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}

{"title":"Review of neuroimaging findings of intracranial angioinvasive fungal infections","authors":"","doi":"10.1016/j.clinimag.2024.110306","DOIUrl":"10.1016/j.clinimag.2024.110306","url":null,"abstract":"<div><div>With increasing use of broad-spectrum antibiotics, advances in organ and stem-cell transplant therapy, and the continued diabetes mellitus II epidemic, as well as other risk factors, reports of fungal infections of the CNS have been increasing. The most lethal subset is the angioinvasive fungal infection. <em>Aspergillus fumigatus</em>, <em>Mucor</em>, and <em>Fusarium</em> tend to affect immunocompromised individuals depending on their risk factors<em>. Exserohilum rostratum</em> and <em>Cladophialaphora</em> species tend to infect immunocompetent individuals. Early diagnosis and treatment are imperative for improved outcomes and reduced morbidity and mortality. Clinical presentation is often nonspecific, while neuroimaging can be helpful for accurate diagnosis. CT of the head and/or the maxillofacial structures is the primary imaging modality. Once the infection begins to proliferate, areas of vasogenic and cytotoxic edema, with regional mass effect and shift of the midline structures may be seen. These findings, however, are often nonspecific and may also be seen in underlying neoplasm, inflammatory processes, and other intracranial infections. Characteristic findings on T1, T2, diffusion-weighted imaging (DWI), and gradient echo sequences (GRE) may help to further narrow the differential diagnoses. We present a review of neuroimaging findings that will aid the neuroradiologist in distinguishing intracranial angioinvasive fungal infections and lead to improved patient outcomes.</div></div>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142367310","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}

{"title":"Diffuse unilateral MRI breast entities","authors":"","doi":"10.1016/j.clinimag.2024.110305","DOIUrl":"10.1016/j.clinimag.2024.110305","url":null,"abstract":"<div><div>Many benign and malignant breast entities can present with diffuse unilateral magnetic resonance imaging (MRI) findings. The unilateral breast findings can be broken down into three broad categories including asymmetric diffuse masses/non-mass enhancement (NME), diffuse unilateral skin thickening, and diffuse asymmetric background enhancement. Although correlation with clinical history is always necessary, biopsy is often needed to make a definitive diagnosis. There are some findings on MRI which can help narrow the differential including morphology, distribution, T2W signal, enhancement kinetics, and associated skin thickening. Malignant entities which will be discussed in this review include ductal carcinoma in situ, invasive ductal carcinoma, invasive lobular carcinoma, Paget disease, inflammatory breast cancer, and locally advanced breast cancer. Benign entities which will be discussed in this review include idiopathic granulomatous mastitis (IGM), infectious mastitis, pseudoangiomatous stromal hyperplasia, giant fibroadenoma, early and late radiation changes, unilateral breast feeding, and central venous obstruction, all which have varied MRI appearances. It is important for radiologists to be familiar with the common entities that can present with diffuse asymmetric unilateral MRI breast findings to ensure the correct diagnosis and management is undertaken.</div></div>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142331747","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}

{"title":"CTA and DSA findings in carotid blowout syndrome: An overview and approach to imaging diagnosis","authors":"","doi":"10.1016/j.clinimag.2024.110304","DOIUrl":"10.1016/j.clinimag.2024.110304","url":null,"abstract":"<div><div>Carotid blowout syndrome (CBS) is a potentially life-threatening complication in patients suffering head and neck cancer, in which rupture of the carotid artery and/or its branches can rapidly lead to life-threatening hemorrhage, shock, and death. CBS is categorized into three subtypes, which are characterized by extent of disease as evidenced by clinical presentation, physical exam findings, and imaging characteristics. Given the high morbidity and mortality associated with CBS, prompt recognition and treatment remains pivotal, as early intervention is associated with longer survival and lower complication rates. In turn, we present an overview of the hallmark imaging findings of CBS through a retrospective review of our institution's findings of these characteristic imaging findings in all patients who underwent evaluation and management of CBS at our facility across a 10-year period.</div></div>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142378518","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}

{"title":"Practicing radiology for 1000 years…by women","authors":"","doi":"10.1016/j.clinimag.2024.110300","DOIUrl":"10.1016/j.clinimag.2024.110300","url":null,"abstract":"<div><div>Insight, words of wisdom and advice to the future generations are shared through storytelling and introspection from women radiologists who have personally impacted my own career and journey as a woman radiologist. Through historical data review and self-reported narratives on an electronically submitted questionnaire, noteworthy accomplishments of female radiologists whom I personally know or know through association over the last hundred and twenty-nine years are described, as well as the obstacles they had faced throughout their academic years of training and practice of radiology.</div></div>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142394954","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}

{"title":"Automated classification of Alzheimer's disease, mild cognitive impairment, and cognitively normal patients using 3D convolutional neural network and radiomic features from T1-weighted brain MRI: A comparative study on detection accuracy","authors":"","doi":"10.1016/j.clinimag.2024.110301","DOIUrl":"10.1016/j.clinimag.2024.110301","url":null,"abstract":"<div><h3>Objectives</h3><p>Alzheimer's disease (AD) is a common neurodegenerative disorder that primarily affects older individuals. Due to its high incidence, an accurate and efficient stratification system could greatly aid in the clinical diagnosis and prognosis of AD patients. Convolutional neural networks (CNN) approaches have demonstrated exceptional performance in the automated stratification of AD, mild cognitive impairment (MCI) and cognitively normal (CN) participants using MRI, owing to their high predictive accuracy and reliability. Therefore, we aimed to develop an algorithm based on CNN and radiomic features derived from ROIs of bilateral hippocampus and amygdala in brain MRI for stratification between AD, MCI and CN.</p></div><div><h3>Methods</h3><p>In this study, we proposed a CNN and radiomic features-based algorithm using the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. T1-weighted images were used. We utilized three datasets, including AD (199 cases, 602 images), MCI (200 cases, 948 images), and CN (200 cases, 853 images), to perform binary classification (AD vs. CN, AD vs. MCI, and MCI vs. CN). Finally, we obtained the accuracy (ACC) and the area under the curve of the receiver operating characteristic curve (AUC) to evaluate the performance of the algorithm.</p></div><div><h3>Results</h3><p>Our proposed algorithm achieved acceptable overall discrimination accuracy. In the term of AD vs CN, radiomic-based algorithm alone obtained ACC of 82.6 % and AUC of 88.8, CNN-based algorithm obtained ACC of 80 % and AUC of 87.2 and their fusion showed ACC of 84.4 % and AUC of 90. In the term of MCI vs CN, radiomic-based algorithm alone obtained ACC of 71.6 % and AUC of 77.8, CNN-based algorithm obtained ACC of 69 % and AUC of 75 and their fusion showed ACC of 72.7 % and AUC of 80. In the term of AD vs MCI, radiomic-based algorithm alone obtained ACC of 57 % and AUC of 57.5, CNN-based algorithm obtained ACC of 56.6 % and AUC of 57.7 and their fusion showed ACC of 58 % and AUC of 59.5.</p></div><div><h3>Conclusion</h3><p>In conclusion, it has been determined that hippocampus and amygdala-based stratification using CNN features and radiomic features-based algorithm is a promising method for the classification of AD, MCI, and CN participants.</p></div><div><h3>Advances in knowledge</h3><p>This study proposed an automated procedures based on MRI-derived radiomic features and CNN for classification between AD, MCI and CN.</p></div>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142274721","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}