High-resolution Computed Tomography Research Articles

Evaluation High-Resolution Computed Tomography (HRCT) Of Temporal Bone In Cholesteatoma Of Middle Ear In Comparison With Histopathological Findings: A Prospective Study

Background: Cholesteatoma is relatively common and potentially dangerous disease of the ear. It is characterised by local destruction and osseous erosion leading to complications. Pre-operative assessment of middle ear cholesteatoma is a must for assessing the disease's location, extent, and complication. High resolution computed tomography (HRCT) is the imaging modality of choice for evaluation of middle ear structures and pathology. Therefore, in the present study we aimed to evaluate HRCT of temporal bone in cholesteatoma of middle ear cleft in comparison with histopathological results. Materials and Methods: This is a prospective study carried out on total of 30 patients who were undergoing HRCT of temporal bone for middle ear cleft pathology and found to have imaging evidence of chronic otomastoiditis on HRCT, subsequently undergoing surgery and histopathological validation. Results: The mean age of study subjects was found to be 23.97 ± 11.30 years. Majority of the study subjects were belonged to age group of 11-40 years (40%) with female predominance (53.3%) as compared to male (46.7%). Majority of the patients i.e., 60% showed signs of loss of aeration and sclerosis of mastoid air cells followed by soft tissue density lesions (43.3%), bony erosions (26.7%), and bony expansions (6.7%). Surgical findings and histopathological reports were correlated with pre-operative HRCT scans analyses with 95.88% accuracy. Conclusion: Compared to histopathological findings, HRCT offers a diagnostic capacity that is remarkably sensitive and specific in identifying cholesteatoma and the condition of the bone structures in the temporal bone

Using CT features of cystic airspace to predict lung adenocarcinoma invasiveness.

Lung adenocarcinoma associated with cystic airspace (LACA) was once considered an uncommon manifestation of lung adenocarcinoma (LUAD), and understandings of it are limited; however, it is being observed more frequently in clinical practice. This study sought to assess the prevalence of LACA, and compare the high-resolution computed tomography (HRCT) features of LACA in patients with varying degrees of invasiveness. This study retrospectively reviewed the HRCT scans of 1,525 patients with LUAD ≤3 cm in diameter at the Shanghai Chest Hospital between January 2016 and May 2016. Each nodule was examined to detect the presence of cystic airspace. Additionally, we analyzed the qualitative HRCT findings of the cystic airspaces, including the pattern, number, wall component density, distribution, inner surface, mural nodules, septa, and vessels passing through the cystic airspace using the Pearson χ2 test or Fisher's exact test as appropriate. We also analyzed the quantitative measurements, such as the cystic airspace diameter, wall thickness, and thin-wall proportion, using a one-way analysis of variance or the Kruskal-Wallis rank-sum test as appropriate. LACAs were observed on HRCT in 11.5% (176/1,525) of the patients, of whom 7.1% (36/505) had pure ground-glass nodules, 13.5% (112/830) had mixed ground-glass nodules, and 14.7% (28/190) had solid nodules (P=0.001). The surgical procedures for LACAs varied (P=0.012). The incidence of LACAs increased as nodule diameter and invasiveness increased (both P<0.001). Statistically significant differences were observed in the wall component density, distribution, septa, vessels passing through the cystic airspace, cystic airspace diameter, wall thickness, and thin-wall proportion among the preinvasive lesion (PL), minimally invasive adenocarcinoma (MIA), and invasive adenocarcinoma (IAC) groups (P<0.001, P=0.024, P=0.001, P=0.025, P=0.001, P<0.001, and P<0.001, respectively). Wall component density increased as invasiveness increased (P<0.001). Unlike those in the MIAs and IACs, cystic airspaces in PLs typically lacked septa (P=0.001, and P<0.001, respectively). The IACs had larger cystic airspace diameters than the PLs (6.5 vs. 3.7 mm) (P<0.001). The IACs also had thicker wall thickness (11.8 vs. 6.8 mm, 11.8 vs. 8.3 mm) (P<0.001, and P<0.001, respectively) and smaller thin-wall proportions (181.5° vs. 264.8°, 181.5° vs. 223.8°) (P<0.001, and P=0.039, respectively) than the PLs and MIAs. The prevalence and characteristics of cystic airspaces on HRCT can be used to predict invasiveness in patients with LUADs ≤3 cm in diameter.

Detection and management of autoimmune disease-associated interstitial lung diseases.

Interstitial lung disease (ILD) causes significant morbidity and mortality in patients with systemic autoimmune rheumatic diseases. Patients at high risk of ILD should be screened using high-resolution CT (HRCT), but there is no consensus as to which risk factors-or combination of risk factors-should prompt referral for HRCT. The course of autoimmune disease-associated ILD is highly variable, and it may not mirror the activity of the underlying autoimmune disease. Patients require close monitoring with periodic pulmonary function testing and symptom assessment and with repeat HRCT considered based on clinical assessment. The relevance of clinical and radiologic signs of progression-and their implications for management-ideally should be discussed by a multidisciplinary team. Management of autoimmune disease-associated ILD may involve immunosuppressant and/or antifibrotic therapy in addition to supportive care. It is important that treatment decisions be individualized to the needs and wishes of the patient. Regular follow-up is important to monitor disease progression and manage the adverse effects related to treatment.

Lessons learned in delayed identification of a misplaced electrode array in the vestibule

To report a case of cochlear implantation with a misplaced electrode array in the vestibule and the causes for the delay in identification. A 23-year-old male with left single-sided deafness underwent cochlear implantation. The intraoperative assessment did not reveal any major red flags of electrode array misplacement. He did not display any vestibular symptoms postoperatively but showed poor speech performance, even though the aided tone audiometry revealed good sound detection thresholds. High-resolution computed tomography (HRCT) showed that the entire perimodiolar electrode array was situated within the vestibule, and a revision surgery was conducted. Retrospective analysis of the neural response telemetry (NRT) revealed subtle differences in responses between the misplaced and correctly placed electrode arrays. Unlike previously reported cases, the patient did not display vestibular symptoms despite the misplacement of the electrode in the vestibule due to existing weakness in otolithic function. Further investigation is warranted when a motivated patient with normal inner ear anatomy does not show benefit with the cochlear implant post-operatively.

Radiomics and 256-slice-dual-energy CT in the automated diagnosis of mild acute pancreatitis: the innovation of formal methods and high-resolution CT.

Acute pancreatitis (AP) is a common disease, and several scores aim to assess its prognosis. Our study aims to automatically recognize mild AP from computed tomography (CT) images in patients with acute abdominal pain but uncertain diagnosis from clinical and serological data through Radiomic model based on formal methods (FMs). We retrospectively reviewed the CT scans acquired with Dual Source 256-slice CT scanner (Somatom Definition Flash; Siemens Healthineers, Erlangen, Germany) of 80 patients admitted to the radiology unit of Antonio Cardarelli hospital (Naples) with acute abdominal pain. Patients were divided into 2 groups: 40 underwent showed a healthy pancreatic gland, and 40 affected by four different grades (CTSI 0, 1, 2, 3) of mild pancreatitis at CT without clear clinical presentation or biochemical findings. Segmentation was manually performed. Radiologists identified 6 patients with a high expression of diseases (CTSI 3) to formulate a formal property (Rule) to detect AP in the testing set automatically. Once the rule was formulated, and Model Checker classified 70 patients into "healthy" or "unhealthy". The model achieved:accuracy81%, precision 78% and recall81%. Combining FMs results with radiologists agreement, and applying the mode in clinical practice, the global accuracy would have been 100%. Our model was reliable to automatically detect mild AP at primary diagnosis even in uncertain presentation and it will be tested prospectively in clinical practice.

Research on the Recognition and Characterization of Fractures in Coal Rock Based on CT Scanning

Abstract Coal rock fractures play a vital role as key channels for gas migration and storage in the exploration and development of coalbed methane. The characteristics of these fractures, such as porosity distribution, specific surface area, and connectivity, directly impact the adsorption, diffusion, and permeability behaviors of coal reservoirs. Therefore, a detailed analysis of coal rock fracture characteristics is vital in assessing the extractability of coalbed methane and during its exploration and development process. Currently, techniques like imaging logging, seismic detection, and micro-CT are employed for characterizing and studying fractures at various scales. Among these, high-resolution non-destructive CT scanning technology, by constructing three-dimensional data models of core samples, enables a quantitative analysis of fracture distribution features and size parameters. Traditional digital image processing methods, such as threshold segmentation and binary segmentation, though advantageous in computational speed, have limitations in the accuracy of fracture identification. With the advancement of artificial intelligence technology, deep learning-based image processing techniques have increasingly become significant tools for fracture detection due to their powerful feature extraction capabilities. This study conducted micrometer-level CT scanning experiments on coal rock samples, using CT image processing technology to construct a digitalized coal rock core model. Deep learning methods were applied for precise fracture identification, establishing an appropriate deep learning architecture and optimized parameters for coal rock fracture recognition. Furthermore, this paper provides a detailed quantitative characterization of the precisely identified fractures, offering robust technical support for the exploration and development of coalbed methane. The high-resolution non-destructive CT scanning technology and three-dimensional fracture network reconstruction method used in this study have been proven to be effective tools for investigating the micro-features of rocks, enabling the three-dimensional visualization and detailed characterization of rock microstructures.

Meta-Analysis of Interobserver Agreement in Assessment of Interstitial Lung Disease Using High-Resolution CT.

Background High-resolution CT (HRCT) is central to the assessment of interstitial lung disease (ILD), and accurate classification of disease has important implications for patients. Evaluation of imaging features can be challenging, even for experienced thoracic radiologists. Previous work has provided equivocal evidence on the interpretation of HRCT features at ILD-related imaging. Purpose To perform a meta-analysis to assess the level of agreement among expert thoracic radiologists in interpreting ILD-related imaging. Materials and Methods A systematic literature search from January 2000 to October 2023 of the Ovid MEDLINE, Embase, and Cochrane Central Register of Controlled Trials databases was performed for articles reporting assessments of interobserver agreement between thoracic radiologists for evaluation of ILD findings, such as severity and progression of disease, presence of features such as honeycombing and ground-glass opacification, and classification based on the 2011 and 2018 American Thoracic Society/European Respiratory Society/Japanese Respiratory Society/Asociación Latinoamericana del Tórax (ATS/ERS/JRS/ALAT) guidelines for idiopathic pulmonary fibrosis (IPF). Meta-analysis was performed using a random-effects model to obtain pooled κ or intraclass correlation coefficient (ICC) values as measures of interobserver agreement. Results The final analysis included 13 studies consisting of 6943 images and 146 radiologists. In 10 studies assessing agreement of specific radiologic findings in ILD, the pooled κ value was 0.56 (95% CI: 0.43, 0.70). In eight studies, the assessed interobserver agreement of the ATS/ERS/JRS/ALAT diagnostic guidelines for IPF based on usual interstitial pneumonia (UIP) patterns, the pooled κ value was 0.61 (95% CI: 0.48, 0.74). One study reported a κ value of 0.87 for ILD progression. Seven studies assessing ILD severity could not be pooled; the individual κ values for ILD severity ranged from 0.64 to 0.90, and ICC values ranged from 0.63 to 0.96. Conclusion There was moderate agreement between thoracic radiologists when assessing ILD features and UIP pattern diagnosis but little evidence on agreement of disease severity, extent, or progression. Meta-analysis registry no. PROSPERO CRD42022361803 © RSNA, 2024 Supplemental material is available for this article. See also the editorial by Humbert in this issue.

Reliability of Time-Lapse High-Resolution Peripheral Quantitative CT (HR-pQCT) in Determining Bone Remodeling in Patients with ESKD

Reliability of Time-Lapse High-Resolution Peripheral Quantitative CT (HR-pQCT) in Determining Bone Remodeling in Patients with ESKD

CA 15 - 3 in screening for systemic autoimmune rheumatic disease associated interstitial lung disease: a single center cross-sectional study.

The natural course of interstitial lung disease (ILD) in patients with systemic autoimmune rheumatic diseases (SARD) varies significantly and is linked to considerable morbidity and mortality. Therefore, effective screening is crucial for early detection of SARD-ILD. Biomarkers associated with mucin 1, Krebs von den Lungen-6 (KL-6) and carbohydrate antigen 15-3 (CA 15-3), are increased in various ILD. This study aimed to assess the diagnostic accuracy of the serum biomarker CA 15-3 as a potential screening tool for ILD in patients newly diagnosed with SARD. Conducted as a single-center cross-sectional study, the research included newly diagnosed SARD patients consecutively examined for ILD according to the algorithm. All included patients underwent chest high-resolution CT scans (HRCT), and serum levels of CA 15-3, KL-6, and lactate dehydrogenase (LDH) were measured and correlated with other variables associated with possible ILD presence. Serum biomarker levels, specifically CA 15-3 and LDH, are significantly higher in ILD-positive patients (P<0.001 for both). An inverse relationship is observed between higher FVC values and lower CA 15-3 levels (Rho=-0.291, P=0.007). Similarly, higher DLCO values are associated with lower CA 15-3 levels (Rho=-0.317, P=0.003). Our findings revealed that elevated CA 15-3 levels are positively correlated with higher levels of KL-6 (Rho=0.268, P=0.01) and LDH (Rho=0.227, P=0.04). With a cut-off value of 24 U/mL, CA 15-3 showed the highest sensitivity and specificity (AUC=0.807, specificity=95.7%, sensitivity=71.1%). CA 15-3 emerged as the most significant predictor of a positive HRCT finding, accurately classifying 83% of cases. These results suggest that CA 15-3 shows promise as a valuable serum biomarker for screening SARD patients for ILD in routine clinical practice.

EP.04B.06 High-Resolution CT with 1024-Matrix for AI-Assisted Diagnosis System in the Evaluation of Pulmonary Nodules

EP.04B.06 High-Resolution CT with 1024-Matrix for AI-Assisted Diagnosis System in the Evaluation of Pulmonary Nodules

Comparative accuracy of CA-153 and KL-6 as diagnostic and prognostic biomarkers for interstitial lung disease

BackgroundsTo discern the potential of KL-6 and CA-153 as diagnostic tools for interstitial lung disease (ILD), understand their relationship with GAP (Gender, Age, and Physiology) stage, and analyze their predictive capacities alongside CT features. This research aims to enhance ILD detection and management in autoimmune patients, emphasizing the diagnostic utility of these biomarkers. MethodsFrom Mar 2017 to Mar 2024, 398 patients from Taichung Veterans General Hospital’s Division of Allergy, Immunology, and Rheumatology with autoimmune diseases were prospectively enrolled. ILD diagnoses were confirmed using High-Resolution Computed Tomography (HRCT) or lung biopsy and characterized by radiologists. GAP scores were calculated for IPF prognosis. 583 serum samples were collected and tested for KL-6, CA-153, CA-199, and CA-125 using specific assays. Statistical analyses compared patients, assessed variables, determined missingness, and predicted ILD, with tools like ROC analysis and logistic regressions. Analyses were performed with IBM SPSS and MedCalc. ResultsILD patients were older, predominantly male, and had more smokers compared to non-ILD. Both KL-6 and CA-153 were higher in ILD and showed a significant, but non-interchangeable correlation. Age, BMI, smoking, and biomarker levels influenced ILD odds, with KL-6 and CA-153 being the strongest predictors. HRCT imaging highlighted these markers’ roles, especially in detecting specific features. Both markers also strongly associated with GAP stages. Stratified analyses emphasized KL-6′s significance in predicting ILD across both AD and non-AD groups. Complete data sensitivity analysis reinforced KL-6 and CA-153 as key ILD predictors. ConclusionsThis research emphasizes CA-153 as a feasible, cost-effective alternative to KL-6 in diagnosing and monitoring ILD. Both CA-153 and KL-6 levels were notably elevated in ILD patients, displaying a strong correlation, especially at CA-153 levels of ≤100 U/ml. They both also have significant associations with CT characteristics and GAP stages. The study reinforces the potential of CA-153, particularly in settings where KL-6 testing might be inaccessible or expensive.

Large lungs in divers: a risk for pulmonary barotrauma?

This retrospective study analysed a series of investigations on lung function in military divers and the importance of computed tomography (CT) scans concerning fitness to dive. We examined the incidence of blebs and bullae in a population of military divers with large lungs prompted by six cases of pulmonary barotrauma. All of these divers' medicals were normal apart from having large lungs (FVC > 120% predicted). A subsequent survey of the database of all divers and submariners of the Royal Netherlands Navy (RNLN) found another 72 divers/submariners with large lungs who were then evaluated by a CT scan. This resulted in the identification of three further individuals with blebs and/or bullae, who were then declared unfit to dive. In total, the incidence of these lung abnormalities in this cohort was 11.5%. We discuss the possible consequences for fitness to dive with regard to the current literature on the subject, and also consider the most recent standards of reference values for pulmonary function indices. Based on our results and additional insights from other studies, we advise using the Global Lung Initiative reference values for pulmonary function, while performing high resolution CT scans only in divers with clinical indications.

20 µm resolution multipixel ghost imaging with high-energy x-rays

Hard x-ray imaging is indispensable across diverse fields owing to its high penetrability. However, the resolution of traditional x-ray imaging modalities, such as computed tomography (CT) systems, is constrained by factors including beam properties, the limitations of optical components, and detection resolution. As a result, the typical resolution in commercial imaging systems that provide full-field imaging is limited to a few hundred microns, and scanning CT systems are too slow for many applications. This study advances high-photon-energy imaging by extending the concept of computational ghost imaging to multipixel ghost imaging with x-rays. We demonstrate a remarkable resolution of approximately 20 µm for an image spanning 0.9 by 1 cm2, comprised of 400,000 pixels and involving only 1000 realizations. Furthermore, we present a high-resolution CT reconstruction using our method, revealing enhanced visibility and resolution. Our achievement is facilitated by an innovative x-ray lithography technique and the computed tiling of images captured by each detector pixel. Importantly, this method maintains reasonable timeframes and can be scaled up for larger images without sacrificing the short measurement time, thereby opening intriguing possibilities for noninvasive high-resolution imaging of small features that are invisible with the present modalities.

Prospective Trial of Sacroiliac Joint Fusion Using 3D-Printed Triangular Titanium Implants: 5-Year Follow-Up.

Prospective, multicenter, single arm study with 5-year follow up. To report long-term (5-year) safety, effectiveness, and radiographic outcomes after sacroiliac (SI) joint fusion (SIJF) with 3D-printed triangular titanium implants (TTI) and compare them with solid titanium plasma spray coated implants. A large literature base supports minimally invasive SIJF with TTI for chronic SIJ dysfunction. SIJF with TTI was performed in 51 subjects and scheduled follow-up occurred at 3, 6, 12, 24 and 60 months. Postoperative visits included quality of life questionnaires and functional tests. A high-resolution CT scan was performed at either 6 or 12 months, and again at 60 months. All CT scans were interpreted by an independent musculoskeletal radiologist. 5-year follow-up was available in 36 of 51 subjects (71%). At 5 years, improvements in SI joint pain (58.1 points [0-100 scale]), SIJ-related disability (Oswestry Disability Index [ODI], 25.4 points) and quality of life (EuroQOL 5D, 0.24 points, and EuroQOL visual analog scale, 13.4 points) were sustained and showed no signs of diminution. The percentage of patients using opioids for SIJ pain decreased markedly from baseline (57%) to 5 years (17%). Physical function tests showed persistent improvements from baseline. There was no evidence of device breakage, migration or subsidence and few late adverse events occurred attributable to the device. Independent analysis of CT scans showed bone opposed to implants in all cases, and evidence of bone bridging in 90% of cases, and no evidence of radiolucency or other adverse bone reactions. Prospective 5-year follow-up showed that SIJ fusion using 3D-printed TTI resulted in immediate, marked, and persistent improvements in pain and quality of life, with improved physical function, reduced opioid use, and a low rate of revision surgery. Radiographic evidence showed implant integration and joint fusion. Level II.

Mini review of diagnostic and therapeutic approaches in myositis-associated interstitial lung disease

Myositis-associated interstitial lung disease (ILD) presents a significant challenge in terms of diagnosis and management due to its heterogeneity and potential for rapid progression. This review outlines the current strategies for diagnosing and managing myositis-associated ILD, focusing on mild to moderate and severe or rapidly progressive cases. Initial diagnosis involves comprehensive clinical evaluation, high-resolution computed tomography (HRCT), pulmonary function tests (PFTs), and serological testing for myositis-specific antibodies and myositis-associated antibodies. Management of mild to moderate ILD includes using corticosteroids and steroid-sparing agents, supported by oxygen therapy, pulmonary rehabilitation, and preventive vaccinations. Regular monitoring through PFTs, HRCT, and clinical assessments is essential to ensure effective management and detect disease progression. In cases of severe or rapidly progressive ILD, aggressive treatment with high-dose corticosteroids, additional immunosuppressive agents such as cyclophosphamide, rituximab, and calcineurin inhibitors, and the use of anti-fibrotic agents like Nintedanib and Pirfenidone are crucial. Supportive care measures, including oxygen therapy and mechanical ventilation, may be necessary for patients with severe respiratory failure. Implementing structured algorithms for diagnosis and management helps streamline the process and improve patient outcomes. Continuous research and advancements in immunology and pharmacology are essential for developing more effective treatments for this challenging condition.

MORPHOLOGICAL CHANGES IN OSTEOPOROTIC BONES: A COMPARATIVE ANALYSIS USING BIOCHEMICAL AND IMAGING METHODS

Osteoporosis leads to significant bone mass loss and structural deterioration, increasing fracture risk. Objective: This study explores the morphological changes in osteoporotic bones through a comparative analysis using biochemical markers and imaging techniques. Methods: A cohort of 55 osteoporotic patients underwent evaluation. Biochemical markers were measured, including serum calcium, phosphorus, alkaline phosphatase, and vitamin D. Imaging assessments involved dual-energy X-ray absorptiometry (DEXA) for bone mineral density (BMD) and high-resolution computed tomography (HRCT) for bone microarchitecture analysis. Correlations between biochemical data and imaging results were examined. Results: Biochemical analysis showed elevated alkaline phosphatase levels (mean: 210 IU/L) and widespread vitamin D deficiency (mean: 16 ng/mL). DEXA revealed significant reductions in BMD (mean T-score: -3.2), while HRCT detected substantial trabecular thinning (mean trabecular thickness: 0.12 mm) and increased cortical porosity. A strong inverse correlation (r = -0.75, p &lt; 0.01) between BMD and alkaline phosphatase was observed, indicating a link between high bone turnover and reduced density. Vitamin D deficiency correlated with greater cortical porosity (r = 0.60, p &lt; 0.05). Conclusion: The study highlights that integrating biochemical markers and imaging methods provides a comprehensive understanding of osteoporotic bone morphology. These findings emphasize the need for multi-modal diagnostic approaches to enhance osteoporosis management and fracture risk assessment.

Diagnosis and treatment of pneumocystis pneumonia - a review article

This study aims to comprehensively evaluate the literature on recent advances in the diagnosis and treatment of Pneumocystis Pneumonia (PCP). A thorough review of relevant literature was conducted. Data were sourced from electronic databases such as PubMed, Scopus, Google Scholar, and Medline, focusing on articles published within the last ten years. The review included 41 articles. The diagnosis of PCP has evolved with the development of molecular techniques, advanced imaging modalities, and artificial intelligence models. Trimethoprim-sulfamethoxazole (TMP-SMX) remains the mainstay of treatment. Corticosteroid adjunctive therapy (CAT) has demonstrated efficacy in improving outcomes, while emerging research suggests a potential role for immunomodulatory agents. Chemoprophylaxis with TMP-SMX remains the main stay of prevention in populations at risk. Despite advances in diagnostic technologies, treatment options for PCP have largely remained unchanged. There are currently no vaccines, and chemoprophylaxis remains the mainstay of prevention. Practical Immediate treatment is essential. New ELISA techniques are viable, while real-time PCR proves superior to nested PCR. Clinical judgment plays a critical role in supporting laboratory diagnoses. High-resolution CT scans may be warranted for evaluating immunosuppressed patients with suspected pneumonia when chest X-rays appear normal. Radiomics can assist in distinguishing PCP from other types of pneumonia in non-HIV patients. Trimethoprim-sulfamethoxazole remains the preferred treatment, with alternative options including dapsone with trimethoprim, clindamycin with primaquine, atovaquone, or pentamidine. Corticosteroid adjunct therapy (CAT) is beneficial in treating PCP, and chemoprophylaxis is essential for high-risk populations.

Airways abnormalities in a prospective cohort of patients with rheumatoid arthritis

Rheumatoid arthritis (RA) affects roughly 1% of the population and commonly involves the lungs. Of lung involvement in RA, interstitial lung disease (ILD) is well-known; however, airways disease in RA is relatively understudied. What are the baseline airways abnormalities in a prospective cohort of patients with RA based on pulmonary function tests (PFT), high-resolution CT scans (HRCT) and computational imaging analysis and are there associations between these abnormalities and respiratory symptoms? In this single-center study, 188 patients with RA without a clinical diagnosis of ILD underwent HRCT and PFT. Radiologists assessed HRCTs for airway abnormalities. Computational imaging via VIDA Vision software and in-house quantitative CT (qCT) analysis was applied to 147 HRCTs to quantify airway abnormalities. Airways obstruction (FEV1/FVC ratio < 0.7) was present in 20.7% of patients, and associated with older age, male sex and higher smoking rate. Radiologists identified airway abnormalities in 61% of patients-55% had bronchial wall thickening, 12% bronchiectasis, and 5% mosaic attenuation; these airways findings were associated with older age, male sex, lower FEV1, FVC, FEV1/FVC ratios, and higher rates of rheumatoid factor positivity. Prespecified qCT metrics (wall thickening % and emphysema %) correlated with PFT obstruction and more severe respiratory symptoms including shortness of breath and cough. There were high rates of airways abnormalities in this prospective RA cohort based on three methods of detection. There were significant associations between qCT measures and respiratory symptoms. Airways disease may be an under-recognized extra-articular manifestation of RA and qCT may be a sensitive method to detect the clinical impact on respiratory symptoms.

Automated segmentation and source prediction of bone tumors using ConvNeXtv2 Fusion based Mask R-CNN to identify lung cancer metastasis

Lung cancer, which is a leading cause of cancer-related deaths worldwide, frequently metastasizes to the bones, significantly diminishing patients’ quality of life and complicating treatment strategies. This study aims to develop an advanced 3D Mask R-CNN model, enhanced with the ConvNeXt-V2 backbone, for the automatic segmentation of bone tumors and identification of lung cancer metastasis to support personalized treatment planning. Data were collected from two hospitals: Center A (106 patients) and Center B (265 patients). The data from Center B were used for training, while Center A’s dataset served as an independent external validation set. High-resolution CT scans with 1 mm slice thickness and no inter-slice gaps were utilized, and the regions of interest (ROIs) were manually segmented and validated by two experienced radiologists. The 3D Mask R-CNN model achieved a Dice Similarity Coefficient (DSC) of 0.856, a sensitivity of 0.921, and a specificity of 0.961 on the training set. On the test set, it achieved a DSC of 0.849, a sensitivity of 0.911, and a specificity of 0.931. For the classification task, the model attained an AUC of 0.865, an accuracy of 0.866, a sensitivity of 0.875, and a specificity of 0.835 on the training set, while achieving an AUC of 0.842, an accuracy of 0.836, a sensitivity of 0.847, and a specificity of 0.819 on the test set. These results highlight the model’s potential in improving the accuracy of bone tumor segmentation and lung cancer metastasis detection, paving the way for enhanced diagnostic workflows and personalized treatment strategies in clinical oncology.

Correlation of serum Krebs von den Lungen-6 levels with fibrosis score on high resolution chest tomography and pulmonary function parameters in treatment naïve Idiopathic Pulmonary Fibrosis.

While serum Krebs von den Lungen-6 (KL-6) has been found to be a helpful biomarker in interstitial lung diseases for evaluating disease severity and progression, especially in connective tissue disease-associated interstitial lung disease (CTD ILD) and idiopathic non-specific interstitial pneumonia (NSIP), data on correlation of serum KL-6 levels with radiological fibrosis and pulmonary function parameters is lacking in treatment naïve Idiopathic Pulmonary Fibrosis (IPF) patients. Serum KL-6 levels were measured in thirty-nine treatment naïve newly detected IPF patients using automated immunofluorescence enzyme assay (AIA) by Tosoh Corporation, bioscience division, Tokyo, Japan. Fibrosis score was calculated by independent visual assessment of the pattern and severity of abnormalities on high resolution computed tomography (HRCT) thorax. HRCT fibrosis scores were correlated with serum KL-6 levels and pulmonary function parameters like forced vital capacity (FVC), diffusion capacity of lung for carbon monoxide (DLco). Median value of serum KL-6 levels was 1519 U/ml (range 199.41-6055 U/ml). There was positive correlation of serum KL-6 with HRCT fibrosis score (r=0.692, p<0.001) and negative correlation with FVC (r=-0.511, p=0.001) and DLco (r=-0.354, p=0.043). In the HRCT fibrosis score pattern subset analysis, the presence of reticulation revealed weak negative and statistically insignificant correlation (r=-0.116, p=0.481) while traction bronchiectasis and honeycombing exhibited statistically significant positive correlation (r=0.425, p=0.007; r=0.584, p<0.001 respectively) with serum KL-6 levels. Serum KL-6 levels showed a positive correlation with the degree of fibrotic abnormalities on HRCT thorax and pulmonary function parameters, indicating a potential use of serum KL-6 in monitoring of parenchymal fibrosis in Idiopathic Pulmonary fibrosis.