Chemotherapy effects on mitochondrial function in adipose tissue in oesophageal and gastroesophageal junction adenocarcinomas with or without associated cachexia: protocol for a prospective, comparative observational study (ChiFMeOE).

INTRODUCTION: Cachexia is strongly associated with digestive cancers, particularly oesogastric cancer. Mitochondria in adipose tissue are involved in the regulation of metabolism and physiopathology of cancer cachexia in animal studies. Chemotherapeutic regimens used to control tumour development could also alter mitochondrial function in adipose tissue. We hypothesise that cachexia induces an increase in adipose tissue mitochondrial energy metabolism and that chemotherapy can mitigate this. The purpose of the ChiFMeOE study is to identify adipocyte factors involved in the energy imbalance associated with the cachectic process and their response to chemotherapeutic treatments in patients with oesogastric cancer. METHODS AND ANALYSIS: ChiFMeOE is a single-centre observational study that will prospectively include 60 patients referred to chemotherapy and surgery for oesophageal and gastro-oesophageal junction adenocarcinomas at the University Hospital of Clermont-Ferrand, France. Visceral and subcutaneous adipose tissue biopsies will be collected during surgery scheduled before and after neoadjuvant chemotherapy administration, as well as cachexia and nutritional assessment. The primary outcome is the maximum mitochondrial respiration rate (Vmax) measured by high-resolution respirometry. Secondary outcomes are other mitochondrial parameters (ie, enzymatic activities, proteins content and gene expression), tumour characteristics, nutritional status and body composition. ETHICS AND DISSEMINATION: The study was approved by an independent institutional review board on June 2023 (Comité de protection des personnes Sud-Méditerranée V; 2023-A00582-43) and declared to the French regulatory authority for research. Written informed consent will be obtained prior to patient inclusion. The principal investigator will be notified of any changes in patient's health status requiring a modification of his management and/or treatment during the course of the protocol. Results will be published in peer-reviewed journals. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov, NCT05954117.

Atypical Presentation of Tertiary Syphilis.

Syphilis is a sexually transmitted infection characterized by multiple stages. Cardiovascular involvement is a manifestation of tertiary syphilis, occurring between 10 and 40 years after the primary infection. The authors present a case of atypical presentation of tertiary syphilis in a 49-year-old male patient who was admitted to the hospital with bilateral transient loss of vision. Contrast-enhanced CT imaging revealed thoracic aortitis with carotid occlusion, coronary artery stenosis, ischemic stroke, myocardial infarction, and multiple intracardiac thrombi. A postmortem autopsy revealed positive laboratory results for syphilis, which was corroborated by medical autopsy findings of syphilitic aortitis. Keywords: CT-Angiography, Aorta, Cardiac, Vascular, Tertiary Syphilis © RSNA, 2024.

SARS-CoV2 pneumonia patients admitted to the ICU: Analysis according to clinical and biological parameters and the extent of lung parenchymal lesions on chest CT scan, a monocentric observational study.

BACKGROUND: CT-scan and inflammatory and coagulation biomarkers could help in prognostication of COVID-19 in patients on ICU admission. OBJECTIVE: The objectives of this study were to measure the prognostic value of the extent of lung parenchymal lesions on computed tomography (CT) and of several coagulation and inflammatory biomarkers, and to explore the characteristics of the patients depending on the extent of lung parenchymal lesions. DESIGN: Retrospective monocentric observational study achieved on a dataset collected prospectively. SETTING: Medical ICU of the university hospital of Clermont-Ferrand, France. PATIENTS: All consecutive adult patients aged ≥18 years admitted between 20 March, 2020 and 31 August, 2021 for COVID-19 pneumonia. INTERVENTIONS: Characteristics at baseline and during ICU stay, and outcomes at day 60 were recorded. The extent of lung parenchyma lesions observed on the chest CT performed on admission was established by artificial intelligence software. MEASUREMENTS: Several clinical characteristics and laboratory features were collected on admission including plasma interleukin-6, HLA-DR monocytic-expression rate (mHLA-DR), and the extent of lung parenchymal lesions. Factors associated with day-60 mortality were investigated by uni- and multivariate survival analyses. RESULTS: 270 patients were included. Inflammation biomarkers including the levels of neutrophils, CRP, ferritin and Il10 were the indices the most associated with the severity of the extent of the lung lesions. Patients with more extensive lung parenchymal lesions (≥ 75%) on admission had higher CRP serum levels. The extent of lung parenchymal lesions was associated with a decrease in the PaO2/FiO2 ratio(p<0.01), fewer ventilatory-free days (p = 0.03), and a higher death rate at day 60(p = 0.01). Extent of the lesion of more than 75% was independently associated with day-60 mortality (aHR = 1.72[1.06; 2.78], p = 0.03). The prediction of death at day 60 was improved when considering simultaneously biological and radiological markers obtained on ICU admission (AUC = 0.78). CONCLUSIONS: The extent of lung parenchyma lesions on CT was associated with inflammation, and the combination of coagulation and inflammatory biomarkers and the extent of the lesions predicted the poorest outcomes.

Deep learning CT reconstruction improves liver metastases detection.

OBJECTIVES: Detection of liver metastases is crucial for guiding oncological management. Computed tomography through iterative reconstructions is widely used in this indication but has certain limitations. Deep learning image reconstructions (DLIR) use deep neural networks to achieve a significant noise reduction compared to iterative reconstructions. While reports have demonstrated improvements in image quality, their impact on liver metastases detection remains unclear. Our main objective was to determine whether DLIR affects the number of detected liver metastasis. Our secondary objective was to compare metastases conspicuity between the two reconstruction methods. METHODS: CT images of 121 patients with liver metastases were reconstructed using a 50% adaptive statistical iterative reconstruction (50%-ASiR-V), and three levels of DLIR (DLIR-low, DLIR-medium, and DLIR-high). For each reconstruction, two double-blinded radiologists counted up to a maximum of ten metastases. Visibility and contour definitions were also assessed. Comparisons between methods for continuous parameters were performed using mixed models. RESULTS: A higher number of metastases was detected by one reader with DLIR-high: 7 (2-10) (median (Q1-Q3); total 733) versus 5 (2-10), respectively for DLIR-medium, DLIR-low, and ASiR-V (p < 0.001). Ten patents were detected with more metastases with DLIR-high simultaneously by both readers and a third reader for confirmation. Metastases visibility and contour definition were better with DLIR than ASiR-V. CONCLUSION: DLIR-high enhanced the detection and visibility of liver metastases compared to ASiR-V, and also increased the number of liver metastases detected. CRITICAL RELEVANCE STATEMENT: Deep learning-based reconstruction at high strength allowed an increase in liver metastases detection compared to hybrid iterative reconstruction and can be used in clinical oncology imaging to help overcome the limitations of CT. KEY POINTS: Detection of liver metastases is crucial but limited with standard CT reconstructions. More liver metastases were detected with deep-learning CT reconstruction compared to iterative reconstruction. Deep learning reconstructions are suitable for hepatic metastases staging and follow-up.

Severe Acute Respiratory Syndrome Coronavirus 2 Pneumonia in Critically Ill Patients: A Cluster Analysis According to Baseline Characteristics, Biological Features, and Chest CT Scan on Admission.

BACKGROUND: Inconsistent results from COVID-19 studies raise the issue of patient heterogeneity. OBJECTIVE: The objective of this study was to identify homogeneous subgroups of patients (clusters) using baseline characteristics including inflammatory biomarkers and the extent of lung parenchymal lesions on CT, and to compare their outcomes. DESIGN: Retrospective single-center study. SETTING: Medical ICU of the University Hospital of Clermont-Ferrand, France. PATIENTS: All consecutive adult patients aged greater than or equal to 18 years, admitted between March 20, 2020, and August 31, 2021, for COVID-19 pneumonia. INTERVENTIONS: Characteristics at baseline, during ICU stay, and outcomes at day 60 were recorded. On the chest CT performed at admission the extent of lung parenchyma lesions was established by artificial intelligence software. MEASUREMENTS AND MAIN RESULTS: Clusters were determined by hierarchical clustering on principal components using principal component analysis of admission characteristics including plasma interleukin-6, human histocompatibility leukocyte antigen-DR expression rate on blood monocytes (HLA-DR) monocytic-expression rate (mHLA-DR), and the extent of lung parenchymal lesions. Factors associated with day 60 mortality were investigated by univariate survival analysis. Two hundred seventy patients were included. Four clusters were identified and three were fully described. Cluster 1 (obese patients, with moderate hypoxemia, moderate extent of lung parenchymal lesions, no inflammation, and no down-regulation of mHLA-DR) had a better prognosis at day 60 (hazard ratio [HR] = 0.27 [0.15-0.46], p < 0.01), whereas cluster 2 (older patients with comorbidities, moderate extent of lung parenchyma lesions but significant hypoxemia, inflammation, and down-regulation of mHLA-DR) and cluster 3 (patients with severe parenchymal disease, hypoxemia, inflammatory reaction, and down-regulation of mHLA-DR) had an increased risk of mortality (HR = 2.07 [1.37-3.13], p < 0.01 and HR = 1.52 [1-2.32], p = 0.05, respectively). In multivariate analysis, only clusters 1 and 2 were independently associated with day 60 death. CONCLUSIONS: Three clusters with distinct characteristics and outcomes were identified. Such clusters could facilitate the identification of targeted populations for the next trials.

Strategies to safely rule out pulmonary embolism in COVID-19 outpatients: a multicenter retrospective study.

OBJECTIVES: The objective was to define a safe strategy to exclude pulmonary embolism (PE) in COVID-19 outpatients, without performing CT pulmonary angiogram (CTPA). METHODS: COVID-19 outpatients from 15 university hospitals who underwent a CTPA were retrospectively evaluated. D-Dimers, variables of the revised Geneva and Wells scores, as well as laboratory findings and clinical characteristics related to COVID-19 pneumonia, were collected. CTPA reports were reviewed for the presence of PE and the extent of COVID-19 disease. PE rule-out strategies were based solely on D-Dimer tests using different thresholds, the revised Geneva and Wells scores, and a COVID-19 PE prediction model built on our dataset were compared. The area under the receiver operating characteristics curve (AUC), failure rate, and efficiency were calculated. RESULTS: In total, 1369 patients were included of whom 124 were PE positive (9.1%). Failure rate and efficiency of D-Dimer > 500 µg/l were 0.9% (95%CI, 0.2-4.8%) and 10.1% (8.5-11.9%), respectively, increasing to 1.0% (0.2-5.3%) and 16.4% (14.4-18.7%), respectively, for an age-adjusted D-Dimer level. D-dimer > 1000 µg/l led to an unacceptable failure rate to 8.1% (4.4-14.5%). The best performances of the revised Geneva and Wells scores were obtained using the age-adjusted D-Dimer level. They had the same failure rate of 1.0% (0.2-5.3%) for efficiency of 16.8% (14.7-19.1%), and 16.9% (14.8-19.2%) respectively. The developed COVID-19 PE prediction model had an AUC of 0.609 (0.594-0.623) with an efficiency of 20.5% (18.4-22.8%) when its failure was set to 0.8%. CONCLUSIONS: The strategy to safely exclude PE in COVID-19 outpatients should not differ from that used in non-COVID-19 patients. The added value of the COVID-19 PE prediction model is minor. KEY POINTS: • D-dimer level remains the most important predictor of pulmonary embolism in COVID-19 patients. • The AUCs of the revised Geneva and Wells scores using an age-adjusted D-dimer threshold were 0.587 (95%CI, 0.572 to 0.603) and 0.588 (95%CI, 0.572 to 0.603). • The AUC of COVID-19-specific strategy to rule out pulmonary embolism ranged from 0.513 (95%CI: 0.503 to 0.522) to 0.609 (95%CI: 0.594 to 0.623).

Eligibility for minithoracotomy aortic valve replacement: from Van Praet classification to complex scanner measurements.

Van Praet proposed a classification to predict the ease of minithoracotomy aortic valve replacement (MT-AVR) based on the position of the aorta in the thorax. We have evaluated the relevance of complex computed tomography (CT) scan measurements to predict the ease of performing a MT-AVR. The first 57 patients who underwent MT-AVR from February 2018 to June 2020 were selected prior to surgery using Van Praet's IA and IB classes. We made additional measurements on aorta position related to the chest and the incision on the preoperative CT scan. The main objective was to correlate complex CT measurements with different operating durations. Van Praet criteria were significantly related to the distance from the center of the aorta to the midline (p value < 0.001), the distance from the center of the aortic ring to the midline (p value = 0.013) and aorto-sternal angle (p < 0.001). We did not find a correlation between CT criteria and the different surgical steps durations in patients belonging to Van Praet classes IA and IB. Our cohort of Van Praet class Ia and Ib patients were able to benefit from a MT-AVR without the need for conversion. Complex CT measurements do not provide additional information to predict surgical difficulties. This classification appears to be sufficient to determine a patient's eligibility for MT-AVR, even for a surgeon experienced in sternotomy in his first MT-AVR.

Characteristics and Prognosis of Patients With Fibromuscular Dysplasia in a Population of Spontaneous Coronary Artery Dissections (from the French Registry of Spontaneous Coronary Artery Dissections "DISCO").

Spontaneous coronary artery dissection (SCAD) and fibromuscular dysplasia (FMD) are pathologies that appear to be closely related. This study compares the characteristics of the FMD population to the non-FMD population in a SCAD cohort. It thus assesses the involvement of the FMD phenotype in a SCAD population. From the data of the French DISCO registry, we included patients with a diagnosis of SCAD and in whom a search for FMD was performed. We collected the following characteristics of this population: the clinical and angiographic presentation, the data concerning the management, and the events occurring during the follow-up. In the 373 SCADs confirmed in the DISCO registry, we obtained imaging data for 340 of them. FMD was found in 45% of cases. The mean age was higher in the FMD group, 53.2 ± 8.8 years, versus 50.1 ± 11 years in the non-FMD group. High blood pressure and postmenopausal status were significantly higher in the FMD group. Clinical presentation, angiographic data, and management were comparable. The major adverse cardiac event rate and recurrence rate were not different between the 2 groups after 1 year of follow-up. In conclusion, we confirmed a 45% prevalence of FMD in the SCAD population. The median age was higher in the FMD group, suggesting that FMD may develop over time. The rate of major adverse cardiac events and recurrence were similar in the FMD group versus the non-FMD group after 1 year of follow-up.

Toxicity of induction chemotherapy in head and neck cancer: The central role of skeletal muscle mass.

BACKGROUND: To assess the impact of nutritional status on tolerance to induction chemotherapy by docetaxel, cisplatin and 5-fluorouracil (ICT) in head and neck cancer (HNC). METHODS: Ninety-two HNC patients were included. Toxicity was assessed according to common terminology criteria for adverse events. Nutritional status was assessed by body mass index (BMI), serum albumin, nutritional risk index (NRI), and CT scan (skeletal muscle mass index [SMI] at the first lumbar vertebral level). RESULTS: Before treatment, average BMI was 22.7 ± 4.6 kg/m2 , serum albumin 38.7 ± 5.8 g/L, NRI 97.6 ± 10.6, and SMI 36.4 ± 7.9 cm2 /m2 . After treatment, BMI was 23 ± 4.5, serum albumin 30.2 ± 7.1, and NRI 88.1 ± 9.2. During ICT, 52 (62%) patients developed at least one toxicity ≥ Grade 3. Pre-treatment SMI was the only predictive factor of toxicity irrespective of BMI (p = 0.04). CONCLUSION: Low skeletal muscle mass is a predictive factor of toxicity to ICT in HNC.

The role of CT-scan assessment of muscle mass in predicting postoperative surgical complications after renal transplantation.

PURPOSE: Despite a high rate of undernutrition in renal transplantation recipients, prognostic value of sarcopenia remains unclear. We evaluated the relation between sarcopenia and post-operative outcomes after renal transplantation. METHODS: During 7 years, each patient who underwent renal transplantation was retrospectively included. Patients with no recent pre-operative CT-scan were excluded. Sarcopenia was evaluated by measuring the muscle surface area on CT-scan section passing through the third lumbar vertebra. Main outcomes were post-operative complications at 1 month and 1 year according to the Clavien-Dindo classification. RESULTS: Overall, 102 patients were included. One month of complication rate was 63.9%. At 1 year, 60.8% experienced at least one medical complication and 29.4% one surgical complication. At 1 year post transplantation, low muscle density on CT scan was a surgical complication risk factor (OR = 0.6, 95% CI = [0.3-0.9], p = 0.05). The area under the curve of a 1-year complication predictive model including muscle density was 0.64. We did not observe significant relationship between CT-scan sarcopenia indicator and 1-month post-transplantation complication. CONCLUSION: Although no clear link between sarcopenia and complications was exhibited in our study, low CT-scan muscle density was associated with 1-year surgical complications. The role of muscle density and its relation with sarcopenia and post-transplantation outcomes should be further explored.

Assessment of Intramuscular Fat and Correlation with Body Composition in Patients with Rheumatoid Arthritis and Spondyloarthritis: A Pilot Study.

Rheumatoid arthritis (RA) and spondyloarthritis (SpA) are associated with changes in body composition. Ectopic intramuscular fat (IMAT) may alter muscle function and contribute to cardiometabolic disorders. In a pilot study, we analyzed IMAT in the calf with peripheral quantitative computed tomography (pQCT) and examined correlations between IMAT quantity and body composition parameters. In 20 patients with active RA and 23 with active SpA, IMAT was correlated with visceral fat (VAT; r = 0.5143 and 0.6314, respectively; p < 0.05) and total lean mass (r = 0.5414 and 0.8132, respectively; p < 0.05), but not with whole body fat mass. Total lean mass mediated 16% and 33% of the effects of VAT on IMAT in RA and SpA, respectively. In both RA and SpA, calf muscle area was correlated with total lean mass (r = 0.5940 and r = 0.8597, respectively; p < 0.05) and fat area was correlated with total body fat (r = 0.6767 and 0.5089, respectively; p < 0.05) and subcutaneous fat (r = 0.6526 and 0.5524, respectively; p < 0.05). Fat area was inversely correlated with handgrip and walking tests, and it was associated with disease activity and disability. We showed that ectopic IMAT, measured with pQCT, was correlated with VAT, but not with total body fat, in RA and SpA. This result suggests that metabolically active fat was specifically associated with IMAT.

National French registry of spontaneous coronary artery dissections: prevalence of fibromuscular dysplasia and genetic analyses.

BACKGROUND: Spontaneous coronary artery dissection (SCAD) is an increasingly reported but poorly understood condition. Few European data are available. AIMS: The aims of this study were to obtain European data on SCAD, determine the prevalence of fibromuscular dysplasia (FMD) and enable genetic analyses in this population. METHODS: Data from a national French registry of SCAD cases were analysed prospectively and retrospectively. Clinical and angiographic data and management strategy were collected. Major adverse cardiovascular events (MACE) were analysed after one year of follow-up. Subjects were screened for FMD and blood was collected for DNA extraction. RESULTS: From June 2016 to August 2018, 373 SCAD cases were confirmed by the core lab. Mean age was 51.5 years. Patients were mostly women (90.6%) and 54.7% of cases had less than two cardiovascular risk factors. At one year, 295 patients (79.1%) were treated conservatively, the MACE rate was 12.3%, and there were no cases of mortality. The recurrence rate of SCAD was 3.3%. FMD was found at ≥1 arterial site in 45.0% of cases. We also confirmed the genetic association between the PHACTR1 locus and SCAD (odds ratio=1.66, p=7.08×10-8). CONCLUSIONS: Here we describe the DISCO registry, the largest European SCAD cohort where FMD was found in 45% of cases and the genetic association with PHACTR1 was confirmed. This nationwide cohort is a valuable resource for future clinical and genetic investigation to understand SCAD aetiology.

Optimized radiological alert thresholds based on device dosimetric information and peak skin dose in vascular fluoroscopically guided intervention.

OBJECTIVES: The National Council on Radiation Protection (NCRP) report no. 168 recommended that during fluoroscopically guided interventions (FGIs), each patient should be monitored when one of the following thresholds is reached: an air kerma > 5 Gy, a kerma area product (KAP) > 500 Gy.cm2, a fluoroscopy time > 60 min, or a peak skin dose (PSD) > 3 Gy. Whereas PSD is the most accurate metric regarding the prevention of radiological risks, it remains the most difficult parameter to assess. We aimed to evaluate the relevance of the other, more accessible metrics and propose new optimized threshold (OT) for improved patient follow-up. METHODS: Overall, 108 patients who underwent FGI in which at least one NCRP threshold was reached and PSD was measured were considered. The correlation between all metrics was assessed using principal component analysis (PCA). ROC curves and the sensitivity/specificity of both NCRP and OT to predict PSD > 3 Gy were evaluated. RESULTS: The PCA shows that FGI can be decomposed with two components based on time and dose variables. Only KAP and kerma were correlated with PSD. The overall sensitivity and specificity of the new OT regarding KAP (67.6/93.0), kerma (97.3/81.7), and time (62.2/62.0) were better compared with NCRP thresholds (97.3/16.9, 40.5/95.4, and 21.6/74.7). CONCLUSIONS: This study shows that fluoroscopy time is not a relevant metric when used to predict PSDs > 3 Gy. By adapting KAP and kerma thresholds to predict PSD over 3 Gy, patient follow-ups following vascular FGI can be improved. KEY POINTS: • In vascular fluoroscopically guided interventions, principal component analysis demonstrates that between fluoroscopy time, KAP, and kerma, only the two last were correlated to the peak skin dose. • Optimized thresholds replacing NRCP ones obtained with ROC curves analysis were 85,451 µGy.cm2, 2938 mGy, and 41 min for KAP, kerma, and fluoroscopy time respectively. • Improvements to trigger patient follow-up after vascular fluoroscopically guided interventions may be obtained by using the optimized thresholds.

Artificial intelligence solution to classify pulmonary nodules on CT.

PURPOSE: The purpose of this study was to create an algorithm to detect and classify pulmonary nodules in two categories based on their volume greater than 100 mm3 or not, using machine learning and deep learning techniques. MATERIALS AND METHOD: The dataset used to train the model was provided by the organization team of the SFR (French Radiological Society) Data Challenge 2019. An asynchronous and parallel 3-stages pipeline was developed to process all the data (a data "pre-processing" stage; a "nodule detection" stage; a "classifier" stage). Lung segmentation was achieved using 3D U-NET algorithm; nodule detection was done using 3D Retina-UNET and classifier stage with a support vector machine algorithm on selected features. Performances were assessed using area under receiver operating characteristics curve (AUROC). RESULTS: The pipeline showed good performance for pathological nodule detection and patient diagnosis. With the preparation dataset, an AUROC of 0.9058 (95% confidence interval [CI]: 0.8746-0.9362) was obtained, 87% yielding accuracy (95% CI: 84.83%-91.03%) for the "nodule detection" stage, corresponding to 86% specificity (95% CI: 82%-92%) and 89% sensitivity (95% CI: 84.83%-91.03%). CONCLUSION: A fully functional pipeline using 3D U-NET, 3D Retina-UNET and classifier stage with a support vector machine algorithm was developed, resulting in high capabilities for pulmonary nodule classification.

COVID-19 impact assessment on the French radiological centers: a nationwide survey.

PURPOSE: To determine the impact of the COVID-19 on the CT activities in French radiological centers during the epidemic peak. MATERIALS AND METHODS: A cross-sectional prospective CT scan survey was conducted between March 16 and April 12, 2020, in accordance with the local IRB. Seven hundred nine radiology centers were invited to participate in a weekly online survey. Numbers of CT examinations related to COVID-19 including at least chest (CTcovid) and whole chest CT scan activities (CTchest) were recorded each week. A sub-analysis on French departments was performed during the 4 weeks of the study. The impact of the number of RT-PCRs (reverse transcriptase polymerase chain reactions) on the CT workflow was tested using two-sample t test and Pearson's test. RESULTS: Five hundred seventy-seven structures finally registered (78%) with mean response numbers of 336 ± 18.9 (323; 351). Mean CTchest activity per radiologic structure ranged from 75.8 ± 133 (0-1444) on week 12 to 99.3 ± 138.6 (0-1147) on week 13. Mean ratio of CTcovid on CTchest varied from 0.36 to 0.59 on week 12 and week 14 respectively. There was a significant relationship between the number of RT-PCR performed and the number of CTcovid (r = 0.73, p = 3.10-16) but no link with the number of positive RT-PCR results. CONCLUSION: In case of local high density COVID-19, CT workflow is strongly modified and redirected to the management of these specific patients. KEY POINTS: • Over the 4-week survey period, 117,686 chest CT (CTtotal) were performed among the responding centers, including 61,784 (52%) CT performed for COVID-19 (CTcovid). • Across the country, the ratio CTcovid/CTtotal varied from 0.36 to 0.59 and depended significantly on the local epidemic density (p = 0.003). • In clinical practice, in a context of growing epidemic, in France, chest CT was used as a surrogate to RT-PCR for patient triage.

Correction to: National dose reference levels in computed tomography-guided interventional procedures-a proposal.

The original version of this article, published on 02 May 2020, unfortunately contained a mistake.

Joint Position Paper of the Working Group of Pacing and Electrophysiology of the French Society of Cardiology and the French Society of Diagnostic and Interventional Cardiac and Vascular Imaging on magnetic resonance imaging in patients with cardiac electronic implantable devices.

Magnetic resonance imaging (MRI) has become the reference imaging technique for the management of a large number of diseases. The number of MRI examinations increases every year, simultaneously with the number of patients receiving a cardiac electronic implantable device (CEID). The presence of a CEID was considered an absolute contraindication for MRI for many years. The progressive replacement of conventional pacemakers and defibrillators by "magnetic resonance (MR)-conditional" CEIDs and recent data on the safety of MRI in patients with "MR-non-conditional" CEIDs have gradually increased the demand for MRI in patients with a CEID. However, some risks are associated with MRI in CEID carriers, even with MR-conditional devices, because these devices are not "MR safe". Specific programming of the device in "MR mode" and monitoring patients during MRI remain mandatory for all patients with a CEID. A standardized patient workflow based on an institutional protocol should be established in each institution performing such examinations. This joint position paper of the Working Group of Pacing and Electrophysiology of the French Society of Cardiology and the French Society of Diagnostic and Interventional Cardiac and Vascular Imaging describes the effect of and risks associated with MRI in CEID carriers. We propose recommendations for patient workflow and monitoring and CEID programming in MR-conditional, "MR-conditional non-guaranteed" and MR-non-conditional devices.

National dose reference levels in computed tomography-guided interventional procedures-a proposal.

OBJECTIVES: To establish national reference levels (RLs) in interventional procedures under CT guidance as required by the 2013/59/Euratom European Directive. METHODS: Seventeen categories of interventional procedures in thoracic, abdominopelvic, and osteoarticular specialties (percutaneous infiltration, vertebroplasty, biopsy, drainage, tumor destruction) were analyzed. Total dose length product (DLP), number of helical acquisitions (NH), and total DLP for helical, sequential, or fluoroscopic acquisitions were recorded for 10 to 20 patients per procedure at each center. RLs were calculated as the 3rd quartiles of the distributions and target values for optimization process (TVOs) as the median. RLs and TVOs were compared with previously published studies. RESULTS: Results on 5001 procedures from 49 centers confirmed the great variability in patient dose for the same category of procedures. RLs were proposed for the DLPs and NHs in the seventeen categories. RLs in terms of DLP and NH were 375 mGy.cm and 2 NH for spinal or peri-spinal infiltration, 1630 mGy.cm and 3 NH for vertebroplasty, 845 mGy.cm and 4 NH for biopsy, 1950 mGy.cm and 8 NH for destruction of tumors, and 1090 mGy.cm and 5 NH for drainage. DLP and NH increased with the complexity of procedures. CONCLUSIONS: This study was the first nationwide multicentric survey to propose RLs for interventional procedures under CT guidance. Heterogeneity of practice in centers were found with different levels of patient doses for the same procedure. The proposed RLs will allow imaging departments to benchmark their practice with others and optimize their protocols. KEY POINTS: • National reference levels are proposed for 17 categories of interventional procedures under CT guidance. • Reference levels are useful for benchmarking practices and optimizing protocols. • Reference levels are proposed for dose length product and the number of helical acquisitions.

Anti-Ro52 antibodies are a risk factor for interstitial lung disease in primary Sjögren syndrome.

OBJECTIVE: To determine whether anti-Ro52 antibodies are associated with ILD in pSS. METHODS: Retrospective study based on the presence or absence of anti-Ro52 antibodies in patients with pSS. Patients underwent chest HRCT at the time of diagnosis or during follow-up. RESULTS: Sixty-eight patients were included. Two groups were defined by the presence (n = 31) or absence (n = 37) of anti-Ro52 antibodies. ILD was significantly higher in the presence of anti-Ro52 (41.9%, n = 13) versus in the anti-Ro52-negative group (16.2%, n = 6; p = 0.019). Multivariate analysis adjusted for anti-SSA/Ro60, anti-SSB antibodies and rheumatoid factor status confirmed that anti-Ro52 antibodies positivity is a predictive factor for ILD (p = 0.01). Nonspecific interstitial pneumonia was the most common pattern of ILD (31.6%). The majority of patients were diagnosed with pSS simultaneously to ILD (52.6%). In the anti-Ro52-negative group, no patients develop ILD after 5 years of follow-up. CONCLUSION: In pSS, the risk of developing ILD is higher in the presence of anti-Ro52 antibodies. In patients with pSS and anti-Ro52 antibodies, a clinical screening and pulmonary functional tests with DLCO is necessary during the follow-up and should comprise chest HRCT if there is a decline in the DLCO or clinical symptoms or inspiratory crackles.