Increased coronary pericoronary adipose tissue attenuation in diabetic patients compared to non-diabetic controls: A propensity score matching analysis

BackgroundPericoronary adipose tissue (PCAT) attenuation is an indicator of active inflammation of perivascular adipose tissue, which is supposed to increase in diabetic patients. We aimed to investigate the PCAT attenuation values and high-risk plaque (HRP) features in diabetic and non-diabetic subjects with different stenotic extents.MethodsConsecutive type 2 diabetes patients and non-diabetic patients with chest pain and intermediate pre-test probability of coronary artery disease (CAD) were prospectively enrolled and underwent coronary computed tomography angiography (CCTA). At per-patient level, PCAT attenuation values of three major epicardial coronary vessels, as well as HRP features were measured. PCAT attenuation values and HRP features were compared between diabetic and non-diabetic subjects according to the presence or absence of obstructive stenosis.Results1700 patients (mean age: 65.5 ?± ?11.7, 940 males) were divided into two groups according to presence of obstructive stenosis on CCTA. Propensity score matching was performed in further analysis. RCA_PCAT was significantly higher in diabetic subjects than that in non-diabetic subjects, regardless of the presence of obstructive stenosis (?83.60 ?± ?9.51 HU vs. ?88.58 ?± ?9.37 HU, p ?< ?0.001) or absence of obstructive stenosis (?83.70 ?± ?10.32 HU vs. ?88.76 ?± ?8.28 HU, p ?< ?0.001). In contrast, HRP features were more commonly presented in diabetic patients with obstructive stenosis than in those without obstructive stenosis. According to subgroup analysis based on acquisition tube voltage, RCA_PCAT was the only parameter showing consistent difference between diabetic and non-diabetic patients.ConclusionsRCA_PCAT was significantly higher in diabetic patients than that in non-diabetic patients regardless of stenotic severity and plaque vulnerability.     

Typical CT findings of COVID-19 pneumonia in patients presenting with repetitive negative RT-PCR

Multiple polymerase chain reaction (RT-PCR) is considered the gold standard diagnostic investigation for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that causes coronavirus disease 2019 (COVID-19).However, false negative multiple polymerase chain reaction (RT-PCR) results can be diagnostically challenging. We report three patients with history of fever and different clinical signs. During the height of the pandemic in Italy (March to May 2020), these patients underwent chest computed tomography (CT) scans that showed lung alterations typical of COVID-19 with multiple negative RT-PCR tests and positive serology for SARS-CoV-2. Two of the three patients showed residual pneumonia on CT after the onset of the first clinical signs. One patient presented with diarrhoea without respiratory symptoms. These cases suggest that in the COVID-19 pandemic period, to provide an earlier specific treatment in patients with positive serology, a chest CT scan can be useful in those presenting with a fever or a history of fever associated with persistent mild respiratory symptoms or with abdominal complaints despite repeated negative RT-PCR results.     

The Threat to the Soul of Interventional Radiology Escalated by COVID-19

1. Download : Download high-res image (188KB)
2. Download : Download full-size image

     

Management of patients with suspected or confirmed COVID-19, in the radiology department

ObjectivesFrom December 2019, a novel coronavirus disease named COVID-19 was reported in China. Within 3 months, the World Health Organization defined COVID-19 as a pandemic, with more than 370,000 cases and 16,000 deaths worldwide. In consideration of the crucial role of diagnostic testing during COVID-19, the aim of this technical note was to provide a complete synthesis of approaches implemented for the management of suspected or confirmed COVID-19 patients.Key findingsThe planning of a robust plan to prevent the transmission of the virus to patients and department staff members should be fundamental in each radiology service. Moreover, the speed of spread and the incidence of the pandemic make it necessary to optimize the use of personal protective devices and dedicated COVID-19 equipment, given the limited availability of supplies.ConclusionIn the management of radiographic and CT imaging, staff should take special precautions to limit contamination between patients and other patients or professionals.Implications for practiceAn isolated imaging room should be dedicated to suspected or confirmed COVID-19 cases, including radiography and CT scanners. This paper will provide guidance concerning disposable protective gear to be utilized, as well as on the cleaning and sanitation of radiology room and equipment.     

Preparing IR for COVID-19: The Singapore Experience

This paper describes country-wide special measures undertaken for interventional radiology staff during the current coronavirus disease 2019 (COVID-19) pandemic. Although each interventional radiology service around the world faces unique challenges, the principles outlined in this article will be useful when designing or strengthening individual practices and integrating them within wider hospital and national measures. Moving beyond the current outbreak, these measures will be useful for any future infectious diseases which are likely to arise.     

Transitioning the IR Clinic to Telehealth: A Single-Center Experience during the COVID-19 Pandemic

Telehealth has not previously been widely implemented as a result of regulatory and reimbursement concerns; however, in the current national emergency of the COVID-19 pandemic, the Centers for Medicare and Medicaid Services has relaxed many of its rules, allowing increased adoption of telehealth services, improving the safety and access of outpatient health care. A complete understanding of the regulatory requirements, technologic options, and billing processes of telehealth is required to initiate a successful clinic. A model is presented here based on a single institution’s experience with implementing telehealth in the outpatient interventional radiology clinic.     

COVID-19: What Should Interventional Radiologists Know and What Can They Do?

The outbreak of coronavirus disease 2019 (COVID-19) in late December 2019 in Wuhan, China, has been characterized as a “pandemic” by the World Health Organization and has resulted in 81,603 confirmed cases in China, among the 334,981 cases confirmed in 189 countries as of 09:00 am, March 24, 2020 (China central standard time). During the past 3 months, hundreds of thousands of Chinese health care workers, including interventional radiologists (IRs), have been fighting this battle against the horrifying COVID-19 disease. As IRs, what should we know and what can we do when facing this challenge? This paper shares the experience we have gone through.     

Temporal changes in extra-axial brain hematoma's signal intensity in magnetic resonance images of trauma patients: A preliminary,technical study

IntroductionDating the exact or estimated time of trauma is an important issue facing forensic medicine. Several clinical and radiological methods were used to achieve this purpose. In the recent study, we aimed to track the changes in the signal intensity of the extra-axial brain hematoma using magnetic resonance imaging (MRI) conventional sequences as well as diffusion-weighted imaging (DWI) and the apparent diffusion coefficient (ADC).Materials and methodsConsidering inclusion and exclusion criteria, all patients with blunt head trauma were involved. After proper management., stabilization, and resuscitation, the participants were assessed using conventional sequences of MRI and DWI twenty-four hours, forty-eight hours, and three weeks after the injury. Temporal changes of signal intensity were compared by Wilcoxon ranged test.ResultsSixteen patients sustaining blunt head trauma were included in this study. The study showed that during the time, diffusion restriction could be seen in an extraaxial hematoma. At the first 24 hours, the signal of hematoma was void in 87.5% of DWI and 100% of ADC. On the second day, they were hypo-signal in 75% of DWI and 100% 0f ADCs, and after three weeks, 100% of cases were hyper-signal in DWI and hypo-signal ADCs.ConclusionThis preliminary study has shown that the DWI can be used to detect and track the extra-axial hematoma. The signal intensity was void during the first twentyfour hours, although it became hypo-signal after 48 hours. Of note, the diffusion restriction is noted after three weeks.     

Online teaching and learning through the students’ eyes – Uncertainty through the COVID-19 lockdown: A qualitative case study in Gauteng province,South Africa

IntroductionIn South Africa, online learning has been adopted to maintain the momentum of learning. The need for social distancing has resulted in the cancellation of many face-to-face activities that comprised the curriculum within higher education. This study explored the experiences of undergraduate diagnostic radiography students of online teaching and learning during the COVID-19 lockdown period.MethodsA qualitative case study design was adopted. Purposive sampling was employed to select undergraduate diagnostic radiography students at the study institution. One-on-one online interviews were audio recorded with fourteen (n = 14) students from second to fourth year and were transcribed verbatim. Data were analysed through content analysis.ResultsTwo main themes emerged: (1) Maintaining balance in the new ‘normal’; (2) Enablers for an inclusive learning environment. The change in the method of teaching has highlighted the requirements for adequate teaching and learning. The students in the study were of the view that they deserve an equal opportunity to quality online education.ConclusionThe study reveals that the participants were concerned about the transition from face-to-face lectures to the online system. They felt they were required to adjust without adequate consideration of the prerequisites for the process, such as devices and data availability.Implications for practiceRadiography is both technical and theoretical. Therefore, the integration of online teaching and learning could be used to enhance digital literacy within the South African context.     

Comparing Radiomics features of tumour and healthy liver tissue in a limited CT dataset: A machine learning study

IntroductionLiver cancer lesions on Computed Tomography (CT) withholds a great amount of data, which is not visible to the radiologists and radiographer. Radiomics features can be extracted from the lesions and used to train Machine Learning (ML) algorithms to predict between tumour and liver tissue. The purpose of this study was to investigate and classify Radiomics features extracted from liver tumours and normal liver tissue in a limited CT dataset.MethodsThe Liver Tumour Segmentation Benchmark (LiTS) dataset consisting of 131 CT scans of the liver with segmentations of tumour tissue and healthy liver was used to extract Radiomic features. Extracted Radiomic features included size, shape, and location extracted with morphological and statistical techniques according to the International Symposium on Biomedical Imaging manual. Relevant features was selected with chi2 correlation and principal component analysis (PCA) with tumour and healthy liver tissue as outcome according to a consensus between three experienced radiologists. Logistic regression, random forest and support vector machine was used to train and validate the dataset with a 10-fold cross-validation method and the Grid Search as hyper-parameter tuning. Performance was evaluated with sensitivity, specificity and accuracy.ResultsThe performance of the ML algorithms achieved sensitivities, specificities and accuracy ranging from 96.30% (95% CI: 81.03%–99.91%) to 100.00% (95% CI: 86.77%–100.00%), 91.30% (95% CI: 71.96%–98.93%) to 100.00% (95% CI: 83.89%–100.00%)and 94.00% (95% CI: 83.45%–98.75%) to 100.00% (95% CI: 92.45%–100.00%), respectively.ConclusionML algorithms classifies Radiomics features extracted from healthy liver and tumour tissue with perfect accuracy. The Radiomics signature allows for a prognostic biomarker for hepatic tumour screening on liver CT.Implications for practiceDifferentiation between tumour and liver tissue with Radiomics ML algorithms have the potential to increase the diagnostic accuracy, assist in the decision-making of supplementary multiphasic enhanced medical imaging, as well as for developing novel prognostic biomarkers for liver cancer patients.     

Proceedings from the Society of Interventional Radiology Foundation Research Consensus Panel on Artificial Intelligence in Interventional Radiology: From Code to Bedside

Artificial intelligence (AI)-based technologies are the most rapidly growing field of innovation in healthcare with the promise to achieve substantial improvements in delivery of patient care across all disciplines of medicine. Recent advances in imaging technology along with marked expansion of readily available advanced health information, data offer a unique opportunity for interventional radiology (IR) to reinvent itself as a data-driven specialty. Additionally, the growth of AI-based applications in diagnostic imaging is expected to have downstream effects on all image-guidance modalities. Therefore, the Society of Interventional Radiology Foundation has called upon 13 key opinion leaders in the field of IR to develop research priorities for clinical applications of AI in IR. The objectives of the assembled research consensus panel were to assess the availability and understand the applicability of AI for IR, estimate current needs and clinical use cases, and assemble a list of research priorities for the development of AI in IR. Individual panel members proposed and all participants voted upon consensus statements to rank them according to their overall impact for IR. The results identified the top priorities for the IR research community and provide organizing principles for innovative academic-industrial research collaborations that will leverage both clinical expertise and cutting-edge technology to benefit patient care in IR.     

Machine learning to identify lymph node metastasis from thyroid cancer in patients undergoing contrast-enhanced CT studies

IntroductionWe compared the diagnostic performance of morphological methods such as the major axis, the minor axis, the volume and sphericity and of machine learning with texture analysis in the identification of lymph node metastasis in patients with thyroid cancer who had undergone contrast-enhanced CT studies.MethodsWe sampled 772 lymph nodes with histology defined tissue types (84 metastatic and 688 benign lymph nodes) that were visualised on CT images of 117 patients. A support vector machine (SVM), free programming software (Python), and the scikit-learn machine learning library were used to discriminate metastatic-from benign lymph nodes. We assessed 96 texture and 4 morphological features (major axis, minor axis, volume, sphericity) that were reported useful for the differentiation between metastatic and benign lymph nodes on CT images. The area under the curve (AUC) obtained by receiver operating characteristic analysis of univariate logistic regression and SVM classifiers were calculated for the training and testing datasets.ResultsThe AUC for all classifiers in training and testing datasets was 0.96 and 0.86, at the SVM for machine learning. When we applied conventional methods to the training and testing datasets, the AUCs were 0.63 and 0.48 for the major axis, 0.70 and 0.44 for the minor axis, 0.66 and 0.43 for the volume, and 0.69 and 0.54 for sphericity, respectively. The SVM using texture features yielded significantly higher AUCs than univariate logistic regression models using morphological features (p = 0.001).ConclusionFor the identification of metastatic lymph nodes from thyroid cancer on contrast-enhanced CT images, machine learning combined with texture analysis was superior to conventional diagnostic methods with the morphological parameters.Implications for practiceOur findings suggest that in patients with thyroid cancer and suspected lymph node metastasis who undergo contrast-enhanced CT studies, machine learning using texture analysis is high diagnostic value for the identification of metastatic lymph nodes.     

Hypersensitivity Reactions to Transarterial Chemoembolization with Cisplatin and Ethiodized Oil: A Retrospective Cohort Study

PurposeTo assess the incidence of hypersensitivity reactions (HSRs) and risk factors in patients with unresectable hepatocellular carcinoma (HCC) who have undergone transarterial chemoemblization (TACE) with cisplatin–ethiodized oil emulsion.Materials and MethodsBetween September 2014 and December 2019, patients with HCC in the authors’ institution undergoing TACE with cisplatin–ethiodized oil emulsion were retrospectively reviewed. Clinical, laboratory, and imaging data (including age, sex, etiology of HCC, serum bilirubin, albumin, alpha-fetoprotein, prothrombin time, dose of cisplatin, and details of TACE procedure) and data on procedural complications were retrieved from the registry of TACE. The incidence of HSRs was calculated, and variables were compared between the patient groups with and without HSRs. Predictive factors were analyzed using binary logistic regression.ResultsA total of 882 TACE procedures were involved in 257 patients with HCC. The median number of TACE procedures performed per patient was 3 (range, 1–23). The median dose of cisplatin per TACE session was 4.58 mg (range, 0.42–21 mg), and the median accumulated dose of cisplatin per patient was 15.42 mg (range, 0.52–125 mg). HSRs were identified in 22 (2.49%) of 882 procedures (17 [6.61%] of 257 patients). The median number of TACE procedures performed in these patients was 2.5 (range, 1–17). The median dose of cisplatin per TACE session was 5.42 mg (range, 0.63–20 mg), and the median accumulated dose of cisplatin per patient was 18.44 mg (range, 3.33–47.99 mg). Upon binary logistic regression analysis, parameters that showed statistically significant and independent association with HSRs included performance of ≥6 TACE procedures (odds ratio, 3.773; P = .012).ConclusionsPerformance of ≥6 TACE procedures was found to be independently associated with the incidence of HSRs. Patients undergoing multiple TACE procedures should be monitored closely for HSRs.     

Comparison of Minimally Invasive Procedures to Treat Knee Pain Secondary to Osteoarthritis: A Systematic Review and Meta-Analysis

PurposeTo review and indirectly compare the outcomes of genicular artery embolization (GAE), radiofrequency (RF) ablation, and intra-articular (IA) injection for the treatment of knee pain secondary to osteoarthritis (OA).Materials and MethodsA literature review of the MEDLINE and Cochrane databases was conducted with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement in June 2020. The visual analog scale (VAS) was recorded at baseline and at all available time points for each therapy. Standard mean differences were calculated at each time point and compared between treatments to assess the magnitude of the treatment effect.ResultsAll 3 treatments demonstrated significant differences in VAS scores after therapy. RF ablation produced the greatest significant mean reduction in relative VAS score from baseline at 1 year of follow-up (mean, 0.49; 95% confidence interval, 0.4–0.59; P = .03). GAE reported the most significant reductions in VAS scores across all measured time points. Overall, the comparison did not demonstrate a significant difference in VAS scores among patients receiving IA injections, RF ablation, and GAE.ConclusionsThe current evidence does not suggest a significant difference in outcomes among IA injection, RF ablation, and GAE for knee pain secondary to OA.     

Performance of Advanced Practice Providers compared with that of Physicians in Ultrasound-Guided Fine-Needle Aspiration of Thyroid Nodules and Superficial Neck Masses

Advanced practice providers (APPs) perform ultrasound (US)-guided fine-needle aspiration (FNA) procedures for superficial neck lesions after appropriate training in some interventional radiology practices. This allows physicians additional time to be involved in more complex procedures. This report compared the performance between physicians and APPs. This observational retrospective study analyzed data obtained from October 2017 to December 2019. A total of 309 patients underwent US-guided FNA biopsies for superficial neck lesions. The positive diagnostic rates of FNA biopsies were evaluated for both groups. APPs and physicians performed 212 (68.6%) and 97 (31.4%) FNAs, respectively. Biopsies considered diagnostic for the APP and physician groups were 195 (92.0%) and 86 (88.7%), respectively (P = .345). There was no statistically significant difference in diagnostic rates between the 2 types of providers when performing US-guided FNA for superficial neck lesions.     

Clinical Outcomes of Transarterial Embolization for Chronic Achilles Tendinopathy Refractory to Conservative Treatment: A Pilot Study

PurposeTo evaluate the effectiveness and safety of transarterial embolization (TAE) for chronic Achilles tendinopathy (AT) refractory to conservative treatment.Materials and MethodsThis retrospective study included 20 patients (12 men and 8 women; mean age, 30.3 years) who received TAE using imipenem/cilastatin sodium for refractory chronic AT from May 2019 to April 2021. Nine patients had bilateral involvement. A total of 29 procedures were performed (8 for nonathletes and 21 for athletes). If feasible, embolization was performed superselectively of the arterial branch demonstrating hypervascularity, early venous drainage, and/or supplying the pain site noted using a radiopaque marker. The visual analog scale (VAS, 0–10) score was used to assess pain symptoms at baseline and during the follow-up period (1 day; 1 week; 1, 3, and 6 months; and open period). Clinical success was defined as a decrease of >50% in the VAS score at 6 months when compared with baseline.ResultsIn 25 (86.2%) of 29 procedures, clinical success was achieved. Significant decreases in the VAS scores were noted at 1 day, 1 week, 1 month, 3 months, and 6 months (6.86 at the baseline vs 3.48, 3.41, 3.10, 2.55, and 1.62, respectively; all P < .01). For patients available for the 12- and 24-month follow-ups (n = 19 and 6, respectively), the mean VAS scores significantly decreased (6.84 vs 2.00 and 7.33 vs 1.17, respectively; all P < .01). No serious adverse events were observed during follow-up.ConclusionsTAE may alleviate pain for patients with chronic AT refractory to the conservative treatment with a low risk of adverse events.