Bronchoalveolar lavage (BAL) cellular analysis is recommended as part of the diagnostic workup of interstitial lung diseases (ILD) when diagnosis is unclear. In recent years, ILD have been classified based on the presence or absence of fibrosis. The objective of this study was to compare BAL cellular profiles across multiple ILDs, stratified by fibrosis status. A retrospective multicenter study of consecutive patients who underwent bronchoscopy, including BAL for ILD evaluation, between 2017 and 2022. BAL indices were chosen based on guidelines and prior research. Chest radiologists blinded to clinical data performed radiological assessment. ILD diagnoses were assigned by multi-disciplinary discussion. In total, 238 patients with BAL results were included (mean age 60 years, 46
Immune checkpoint inhibitors (ICIs) have become the standard for treating various cancers. Nevertheless, their use may lead to significant cardiovascular immune-related adverse events (CV irAEs). We aimed to assess whether pre-treatment coronary artery calcium (CAC) deposition predicts CV irAEs in patients treated with ICIs. A retrospective single-center cohort of patients treated with ICIs who performed pre-treatment chest computed tomography. A visual CAC assessment was categorized into Positive or Negative calcium deposits. Patients with pre-existing ischemic heart disease were excluded. The primary endpoint was the composite CV irAEs, including myocarditis, acute coronary syndrome, heart failure, and arrhythmias, and the secondary endpoint was all-cause mortality. The cohort included 240 patients with a median age of 67 (IQR 59–73) years and 47
Chest X-rays or chest radiography (CXR), commonly used for medical diagnostics, typically enables limited imaging compared to computed tomography (CT) scans, which offer more detailed and accurate three-dimensional data, particularly contrast-enhanced scans like CT Pulmonary Angiography (CTPA). However, CT scans entail higher costs, greater radiation exposure, and are less accessible than CXRs. In this work, we explore cross-modal translation from a 2D low contrast-resolution X-ray input to a 3D high contrast and spatial-resolution CTPA scan. Driven by recent advances in generative AI, we introduce a novel diffusion-based approach to this task. We employ the synthesized 3D images in a classification framework and show improved AUC in a Pulmonary Embolism (PE) categorization task, using the initial CXR input. Furthermore, we evaluate the model's performance using quantitative metrics, ensuring diagnostic relevance of the generated images. The proposed method is generalizable and capable of performing additional cross-modality translations in medical imaging. It may pave the way for more accessible and cost-effective advanced diagnostic tools. The code for this project is available: https://github.com/NoaCahan/X-ray2CTPA .
Pulmonary embolism is commonly associated with deep vein thrombosis and the components of Virchow’s triad: hypercoagulability, stasis, and endothelial injury. High-risk patients are traditionally those with prolonged immobility and hypercoagulability. Recent findings of pulmonary thrombosis (PT) in healthy combat soldiers, found on CT performed for initial trauma assessment, challenge this assumption. The aim of this study was to investigate the prevalence and characteristics of PT detected in acute traumatic war injuries, and evaluate the effectiveness of an artificial intelligence (AI) algorithm in these settings. This retrospective study analyzed immediate post-trauma CT scans of war-injured patients aged 18–45, from two tertiary hospitals between October 7, 2023, and January 7, 2024. Thrombi were retrospectively detected using AI software and confirmed by two senior radiologists. Findings were compared to the original reports. Clinical and injury-related data were analyzed. Of 190 patients (median age 24, IQR (21.0–30.0), 183 males), AI identified 10 confirmed PT patients (5.6
Background The radiologic criteria of hypersensitivity pneumonitis (HP) guidelines focus on four HP compatible features (HPCF) in high-resolution computed tomography (HRCT): ground glass opacities, mosaic attenuation, air-trapping, and centrilobular nodules. However, evidence to support these criteria are limited. Methods Consecutive interstitial lung disease (ILD) patients who underwent HRCT between 2016 and 2021 in three medical centers were included. We assessed the prevalence of HPCF in each ILD and their association with HP diagnosis. We evaluated the impact of HPCF amount for HP diagnosis and the performance of the radiologic criteria by the ATS/JRS/ALAT and CHEST HP guidelines. Results 436 patients with ILD were included (mean age 66, 48% females), of them, 56 (13%) with HP. All four HPCF were more prevalent in HP than in non-HP ILD (p<0.001 for all). In multivariate analysis, air-trapping was the strongest independent predictor (AOR 4.1, 95% CI 2-8.4, p<0.001). Centrilobular nodules were present almost exclusively in HP and smoking-related ILD. The amount of HPCF in HRCT had an excellent predictive ability for HP diagnosis (receiver operating characteristic AUC 0.85, 95% CI 0.80-0.90). The radiologic criteria of both guidelines had high specificity for "typical HP" and high sensitivity for "compatible with HP", although with low positive predictive values. Our findings remained robust even when including only patients that had a diagnostic biopsy. Conclusion The presence and amount of HPCF in HRCT predicted HP diagnosis in real-life settings. While current HP radiologic criteria demonstrated good diagnostic performance, our findings highlight areas for future improvement.
Stress urinary incontinence (SUI) after holmium laser enucleation of the prostate (HoLEP) is traditionally explained by longitudinal overstretching of the external urethral sphincter (EUS) during enucleation. We propose extreme radial forces exerted on the EUS as a novel mechanism for post-HoLEP SUI. We assessed the resectoscope angles during enucleation as seen on external intraoperative pictures followed by fluoroscopically calibrated measurements and trigonometric calculations of EUS dilation as a function of the resectoscope angle and diameter and the membranous urethra length and width. Preoperative magnetic resonance imaging studies (n = 55) validated the trigonometric formula relative to SUI at one month post-HoLEP. The maximal median angles for the non-SUI (n = 28) and SUI (n = 27) groups were 54° vs. 57° (p = 0.002), and the calculated sphincter dilations were 39mm vs. 49mm (p < 0.001), respectively. The sphincter dilation and resectoscope angle were the only independent predictors of SUI post-HoLEP in the univariate and multivariate regression models. A receiver-operating characteristic analysis found an area under the curve (AUC) of 0.849 for our formula, 0.764 for sphincter dilation, and 0.745 for the resectoscope angle. These AUCs were significantly better than those for prostate volume and patient age (p < 0.05). The EUS dilation caused by radial forces exercised during resectoscope angulation is a plausible cause for post-HoLEP UI. It may also explain its temporality.
Purpose: Small left atrial (LA) volume was recently reported to be one of the best predictors of acute pulmonary embolism (PE)-related adverse events (AE). There is currently no data available regarding the impact that body surface area (BSA)-indexing of atrial measurements has on the association with PE-related adverse events. Our aim is to assess the impact of indexing atrial measurements to BSA on the association between computed tomography (CT) atrial measurements and AE. Materials and Methods: Retrospective study (IRB: 2015P000425). A database of hospitalized patients with acute PE diagnosed on CT pulmonary angiography (CTPA) between May 2007 and December 2014 was reviewed. Right and left atrial volume, largest axial area, and axial diameters were measured. Patients undergo both echo-cardiographies (from which the BSA was extracted) and CTPAs within 48 hours of the procedure. The patient's body weight was measured during each admission. LA measurements were correlated to AE (defined as the need for advanced therapy or PE-related mortality at 30 days) before and after indexing for BSA. The area under the ROC curve was calculated to determine the predictive value of the atrial measurements in predicting AE. Results: The study included 490 acute PE patients; 62 (12.7%) had AE. There was a significant association of reduced BSA-indexed and non-indexed LA volume (both <0.001), area (<0.001 and 0.001, respectively), and short-axis diameters (both <0.001), and their respective RA/LA ratios (all <0.001) with AE. The AUC values were similar for BSA-indexed and non-indexed LA volume, diameters, and area with LA volume measurements being the best predictor of adverse outcomes (BSA-indexed AUC=0.68 and non-indexed AUC=0.66), followed by non-indexed LA short-axis diameter (indexed AUC=0.65, non-indexed AUC=0.64), and LA area (indexed AUC=0.64, non-indexed AUC=0.63). Conclusion:Adjusting for BSA does not substantially affect the predictive ability of atrial measurements on 30-day PE-related adverse events, and therefore, this adjustment is not necessary in clinical practice. While LA volume is the better predictor of AE, LA short-axis diameter has a similar predictive value and is more practical to perform clinically.
Purpose: Small left atrial (LA) volume was recently reported to be one of the best predictors of acute pulmonary embolism (PE)-related adverse events (AE). There is currently no data available regarding the impact that body surface area (BSA)-indexing of atrial measurements has on the association with PE-related adverse events. Our aim is to assess the impact of indexing atrial measurements to BSA on the association between computed tomography (CT) atrial measurements and AE. Materials and Methods: Retrospective study (IRB: 2015P000425). A database of hospitalized patients with acute PE diagnosed on CT pulmonary angiography (CTPA) between May 2007 and December 2014 was reviewed. Right and left atrial volume, largest axial area, and axial diameters were measured. Patients undergo both echocardiographies (from which the BSA was extracted) and CTPAs within 48 hours of the procedure. The patient’s body weight was measured during each admission. LA measurements were correlated to AE (defined as the need for advanced therapy or PE-related mortality at 30 days) before and after indexing for BSA. The area under the ROC curve was calculated to determine the predictive value of the atrial measurements in predicting AE. Results: The study included 490 acute PE patients; 62 (12.7%) had AE. There was a significant association of reduced BSA-indexed and non-indexed LA volume (both <0.001), area (<0.001 and 0.001, respectively), and short-axis diameters (both <0.001), and their respective RA/LA ratios (all <0.001) with AE. The AUC values were similar for BSA-indexed and non-indexed LA volume, diameters, and area with LA volume measurements being the best predictor of adverse outcomes (BSA-indexed AUC=0.68 and non-indexed AUC=0.66), followed by non-indexed LA short-axis diameter (indexed AUC=0.65, non-indexed AUC=0.64), and LA area (indexed AUC=0.64, non-indexed AUC=0.63). Conclusion: Adjusting for BSA does not substantially affect the predictive ability of atrial measurements on 30-day PE-related adverse events, and therefore, this adjustment is not necessary in clinical practice. While LA volume is the better predictor of AE, LA short-axis diameter has a similar predictive value and is more practical to perform clinically.
Background: Preoperative identification of the bowel on imaging is essential in planning renal access during percutaneous nephrolithotomy (PCNL) and avoiding colonic injury. We aimed this study to assess which noncontrast computed tomography (NCCT) window setting provides the optimal colonic identification for PCNL preoperative planning. Methods: Ten urologic surgeons (four seniors, six residents) reviewed 22 images of NCCT scans in both abdomen and lung window settings in a randomized blinded order. Colonic area delineation in each image was performed using a dedicated, commercially available area calculator software. A comparison of the marked colonic area between the abdomen and lung window settings was performed. Results: Overall, the mean marked colonic area was greater in the lung window compared with the abdomen window (8.82 cm2 vs 7.4 cm2, respectively, p < 0.001). Switching the CT window from abdomen to lung increased the identified colonic area in 50 cases (50%). Intraclass correlation showed good agreement between the senior readers and among all readers (0.92 and 0.87, respectively). Similar measurements of the colonic area in both abdomen and lung windows were observed in 26/44 (60%) of the seniors cases and in 7/66 (10%) of the resident cases (p = 0.002). Conclusion: Lung window solely or in combination with abdomen window appears to provide the most accurate colonic identification for preoperative planning of PCNL access and potentially reduce the risk of colonic injury. This pattern is more evident among young urologists, and we propose to introduce it as a standard sequence in PCNL preplanning.
Introduction: Following trans-catheter aortic valve replacement (TAVR), patients may develop aortic valve leaflet thrombosis, a condition associated with an increased risk of embolic events. Currently, the diagnosis of post-TAVR leaflet thrombosis is based on echocardiography surveillance or cardiac tomography (CCT) scan, both require specialized team and equipment, and may also expose the patients to radiation and contrast. Acoustic analysis is a non-invasive reproducible method, which incorporates the recording of cardiac sounds and analyzing them via machine learning algorithms. Here, we investigated the diagnostic abilities of acoustic analysis in the detection of post-TAVR leaflet thrombosis. Methods: Using an electronic stethoscope, heart sounds were prospectively recorded at 2 time points: 24-hours and 6-months post-TAVR. CCT scan was performed 6-months following TAVR to detect leaflet thrombosis. Acoustic sounds were analyzed, using a Gaussian support vector machine (SVM) algorithm, to identify features associated with leaflet thrombosis. Results: Of 19 consecutive patients, 3 were found to have high-grade leaflet thrombosis based on CCT results. The SVM algorithm effectively classified heart sounds into "normal" and "thrombotic", with a sensitivity of 100% and specificity of 97.2%. Following anticoagulation therapy, all 3 patients showed no signs of leaflet thrombosis on follow-up CCT scans and were also classified as "normal" by the algorithm. Notably, at the time of leaflet thrombosis, Doppler echocardiographies showed normal pressure gradients across the affected valves. Conclusions: These initial results suggest that acoustic analysis, combined with machine learning algorithms, may identify post-TAVR leaflet thrombosis, providing a non-invasive, cost-effective, and radiation-free alternative to traditional diagnostic methods.
The reported yield of non-contrast computed tomography (NCCT) in assessing flank pain and obstructive urolithiasis (OU) in emergency departments (EDs) is only 50
Introduction: Combined pulmonary fibrosis and emphysema (CPFE) patients exhibit distinct clinical features and worse outcomes compared to pulmonary fibrosis patients. However, there is a lack of quality research comparing CPFE and emphysema alone. Objectives: To assess for clinical and radiologic differences between CPFE and emphysema alone. Methods: An observational cohort including patients with CPFE or emphysema from a tertiary medical center. The two groups were matched by sex, pack years (PYs) of smoking, and age. The emphysema features and CPFE diagnosis based on chest CT scans were classified by a chest radiologist according to the 2022 ATS/ERS/JRS/ALAT task force research definitions. Results: 30 CPFE 30 and matched emphysema patients were included. In each group 73.3% were males, the average PYs was 37, and age was 67.5 years. Patients with CPFE had a higher body mass index (BMI), less obstructive spirometry, and lower TLC and RV (Table). Only one patient (3%) with CPFE had extensive emphysema (>30% of lung fields) compared with 10 (33%) in the emphysema group (P=0.003). Both groups showed an upper lobe predominance of emphysema distribution (86.4%, P=0.6) and no significant difference in emphysema pattern between paraseptal, centrilobular, mixed or other pattern (P=0.2). Conclusion: After adjusting for the major baseline characteristics, CPFE was associated with less extensive emphysema, higher BMI, less obstructive spirometry, and lower lung volumes compared to emphysema alone.
PURPOSE Cancer is the second leading cause of death globally. However, by implementing evidence-based prevention strategies, 30%-50% of cancers can be detected early with improved outcomes. At the integrated cancer prevention center (ICPC), we aimed to increase early detection by screening for multiple cancers during one visit. METHODS Self-referred asymptomatic individuals, age 20-80 years, were included prospectively. Clinical, laboratory, and epidemiological data were obtained by multiple specialists, and further testing was obtained based on symptoms, family history, individual risk factors, and abnormalities identified during the visit. Follow-up recommendations and diagnoses were given as appropriate. RESULTS Between January 1, 2006, and December 31, 2019, 8,618 men and 8,486 women, average age 47.11 ± 11.71 years, were screened. Of 259 cancers detected through the ICPC, 49 (19.8%) were stage 0, 113 (45.6%) stage I, 30 (12.1%) stage II, 25 (10.1%) stage III, and 31(12.5%) stage IV. Seventeen cancers were missed, six of which were within the scope of the ICPC. Compared with the Israeli registry, at the ICPC, less cancers were diagnosed at a metastatic stage for breast (none v 3.7%), lung (6.7% v 11.4%), colon (20.0% v 46.2%), prostate (5.6% v 10.5%), and cervical/uterine (none v 8.5%) cancers. When compared with the average stage of detection in the United States, detection was earlier for breast, lung, prostate, and female reproductive cancers. Patient satisfaction rate was 8.35 ± 1.85 (scale 1-10). CONCLUSION We present a proof of concept study for a one-stop-shop approach to cancer screening in a multidisciplinary outpatient clinic. We successfully detected cancers at an early stage, which has the potential to reduce morbidity and mortality as well as offer substantial cost savings. [Media: see text]
Hypersensitivity pneumonitis (HP) is a heterogeneous interstitial lung disease (ILD) that may be difficult to confidently diagnose. Recently, the 2020 ATS/JRS/ALAT HP diagnostic guidelines were published, yet data validating their performance in real-life settings are scarce. We aimed to assess the diagnostic performance of the HP guidelines compared to the gold-standard multidisciplinary discussion (MDD). For this purpose, we included consecutive ILD patients that underwent diagnostic bronchoscopy between 2017 and 2020 in three large medical centers. Four diagnostic factors (antigen exposure history, chest computed tomography pattern, bronchoalveolar lavage lymphocyte count, and histology results) were used to assign guidelines-based HP diagnostic confidence levels for each patient. A sensitivity analysis was performed, with MDD diagnosis as the reference standard. Overall, 213 ILD patients were included, 45 (21%) with an MDD diagnosis of HP. The guidelines' moderate (≥70%) confidence threshold produced optimal performance with 73% sensitivity for HP, 89% specificity, and a J-index of 0.62. The area under the receiver operating characteristic curve (AUC) for a correct guidelines-based diagnosis was 0.86. The guidelines had better performance for non-fibrotic than fibrotic HP (AUC 0.92 vs. 0.82). All diagnostic factors, except bronchoalveolar lavage lymphocyte count, were independent predictors for MDD diagnosis of HP in a multivariate analysis. In conclusion, the HP guidelines exhibited a good diagnostic performance compared to MDD diagnosis in real-life setting.
BACKGROUND:Pressure overload of the right heart (pulmonary hypertension [PH]) can be an acute or a chronic process with various pathophysiologic changes affecting the dimensions of the heart chambers. The automatic four-chamber volumetric analysis tool is now available to measure the volume of the cardiac chambers in patients undergoing a computed tomography pulmonary angiogram (CTPA). PURPOSE:To characterize the volumetric changes that occurred in response to increased systolic pulmonary arterial pressures (sPAP) in acute events, such as acute pulmonary embolism (APE), compared with other etiologies. MATERIAL AND METHODS:Consecutive patients who underwent CTPA and echocardiography within 24 h between 2011 and 2015 were included. Differences in cardiac chamber volumes were investigated in correlation to the patients' sPAP. RESULTS:The final cohort of 961 patients included 221 (23%) patients diagnosed with APE. The right (RV) to left (LV) ventricular volume ratio (VVR) was higher, while the left atrial (LA) volume index was smaller (P < 0.001) in the patients with APE. A decision tree for the prediction of APE showed that an RV to left VVR >2.8 was characteristic of APE, whereas an LA volume index >37.5 mL/m² was more compatible with PH due to other etiologies (P < 0.001). CONCLUSION:The combination of VVR and LA volume index may help in differentiating between APE and chronic PH. CTPA-based volumetric information may be used to help clarify the underlying etiology of the dyspnea.
•DLBCL is the most common type of lymphoma with cardiac involvement.•Obtaining tissue for diagnosis may be challenging in PCLs.•A safe diagnostic procedure may diagnose DLBCL patients with cardiac masses.•R-CHOP chemotherapy protocol is the standard treatment for PCL.
Chronic coronary syndrome (CCS) is common among elderly patients with severe aortic stenosis undergoing transcatheter aortic valve implantation (TAVI). Current guidelines recommend performance of percutaneous coronary intervention (PCI) of any > 70