Pattern Of Lung Disease Research Articles

Interstitial lung disease presents with varying characteristics in patients with non-Hodgkin lymphoma undergoing rituximab-containing therapies.

Although the incidence and outcomes of rituximab-induced interstitial lung disease (RILD) have been partially reported, there are no systematic studies on the characteristics and types of RILD. This study aimed to investigate the clinical characteristics, bronchoalveolar lavage (BAL) findings, and treatment course of RILD in patients with non-Hodgkin lymphoma. We retrospectively analyzed the data from 321 patients with non-Hodgkin lymphoma who developed RILD between 2020 and 2022. The extent, distribution, and radiologic patterns of interstitial lung disease were determined using high-resolution computed tomography of the chest. BAL was performed in 299 (93.1%) patients to determine cellular distribution patterns and identify pathogenic microorganisms using metagenomic next-generation sequencing. All patients received combination therapy, with cyclophosphamide, doxorubicin, vincristine, and prednisone being the most commonly administered regimens. The median time from treatment to RILD development was 1.7 months. In the 217 patients who underwent metagenomic next-generation sequencing, 179 pathogenic microorganisms were detected, including 77 (43.0%) bacteria, 45 (25.1%) viruses, 28 (15.6%) Pneumocystis jirovecii strains, 17 (9.5%) fungi, 6 (3.5%) Mycobacterium tuberculosis, and 6 (3.5%) atypical pathogens. All RILD diagnoses were based on multidisciplinary team discussions and compliance with international standards. In conclusion, RILD exhibits a range of radiological and BAL patterns, reflecting different interstitial lung disease types. The most common patterns of RILD are infectious lung disease, organizing pneumonia, and nonspecific interstitial pneumonia. These findings enhance the understanding of RILD in patients with non-Hodgkin lymphoma and serve as a reference for best management guidelines in these patients.

The lung in inborn errors of immunity.

The lungs are integral to immune defense, and inborn errors of immunity (IEI) often manifest as lung disease. Lung complications of IEI can involve the airways, alveolar spaces, interstitium, vasculature, and pleura. Accurate identification of these lung disease patterns requires a thorough clinical history, physical examination, and high-resolution computed tomography (HRCT), as lung imaging patterns guide further respiratory and immunological evaluations. Respiratory assessment may also include pulmonary function tests, bronchoscopy with bronchoalveolar lavage, and, in some cases, lung biopsy. Additionally, molecular diagnosis of underlying immune defects, typically through comprehensive clinical phenotyping, functional immune studies, and genetic testing, is crucial for informing patient management and guiding targeted therapies. Importantly, given the complexity of IEI, a multidisciplinary approach is necessary. Furthermore, ongoing research is required to refine therapies and improve outcomes for lung complications.

Clinical and radiological pattern of olaparib-induced interstitial lung disease

BackgroundPARP inhibitors (PARPi) are used in the treatment of ovarian, breast, pancreatic, and prostate cancers. Pneumonitis has been identified as a potential side effect, with a higher meta-analysis-assessed risk for olaparib versus other PARPi. Olaparib-induced interstitial lung disease (O-ILD) was first described within the Japanese population, with few information available for Caucasian patients.MethodsWe performed a retrospective study by pooling data from the French and Belgian pharmacovigilance databases from 2018 to 2022. Patients with O-ILD were included following a central review by: 1) pharmacologists using the French drug causality assessment method; 2) senior pneumologists or radiologists, using the Fleischner Society’s recommendations.ResultsFive patients were identified and analysed. All were females, with ovarian or breast cancer. Median age at O-ILD diagnosis was 71 (38–72) years old, with no smoking history. Median delay between treatment initiation and symptom occurrence was 12 (6–33) weeks. Pneumonitis severity assessed using the Common Terminology Criteria for Adverse Events V5 was Grade 3 (n = 4) or 2 (n = 1). CT-scan review (n = 3) described hypersensitivity pneumonitis reaction as a common pattern. Bronchioalveolar lavage (n = 4) revealed lymphocytic alveolitis. Treatments relied on olaparib discontinuation (n = 5) and glucocorticoid intake (n = 4), with no fatal issue. Safe re-challenge with PARPi occurred in two patients. Forty additional O-ILD cases were identified in the WHO VigiBase database, including one fatal case.ConclusionsPARPi-ILD is a rare but potentially life-threatening disease, presenting as a hypersensitivity pneumonitis pattern within 3 months of PARPi initiation. Treatment primarily relies on medication discontinuation. Re-challenging with another PARPi could be considered.Clinical trial numberCEPRO #2023–010.

A Study of Clinical, Radiological, and Etiological Profiles of Patients with Cavitary Lung Disease

Abstract Background: This study aims to find out the distribution pattern of cavitary lung disease across clinical, radiological, and etiological variables. Methods: This is an observational monocentric retrospective study conducted in Apollo Hospital, Greams Road, Chennai, between August 2022 and May 2023. After excluding cases lacking follow-up and no clinical data, 50 patients with cavitary lung disease who underwent bronchoscopy were included in this study. Data such as demographics, smoking status, clinical presentation, comorbidities, and radiological features were obtained. Results: Of the 50 participants, the majority had tuberculosis (TB), fungal, and bacterial infections. Fungal cavities were common in males with uniform age distribution and had cavities with air crescent signs. Bronchoscopy was inconclusive in most of them and required either computed tomography or video-assisted thoracic surgery (VATS)-guided biopsy to establish a diagnosis. The most common malignancy was squamous cell carcinoma, and autoimmune disease was granulomatous polyangiitis. Conclusion: Our study shows that the presence of cavities points more toward TB. One of the key measures in making TB treatment and control activities a success is identifying patients at high risk of transmission and poor outcomes like patients with cavities. However, it is important to exclude other diagnoses like malignancy where the prognosis can be fatal.

Applications of artificial intelligence in computed tomography imaging for phenotyping pulmonary hypertension.

Pulmonary hypertension is a heterogeneous condition with significant morbidity and mortality. Computer tomography (CT) plays a central role in determining the phenotype of pulmonary hypertension, informing treatment strategies. Many artificial intelligence tools have been developed in this modality for the assessment of pulmonary hypertension. This article reviews the latest CT artificial intelligence applications in pulmonary hypertension and related diseases. Multistructure segmentation tools have been developed in both pulmonary hypertension and nonpulmonary hypertension cohorts using state-of-the-art UNet architecture. These segmentations correspond well with those of trained radiologists, giving clinically valuable metrics in significantly less time. Artificial intelligence lung parenchymal assessment accurately identifies and quantifies lung disease patterns by integrating multiple radiomic techniques such as texture analysis and classification. This gives valuable information on disease burden and prognosis. There are many accurate artificial intelligence tools to detect acute pulmonary embolism. Detection of chronic pulmonary embolism proves more challenging with further research required. There are numerous artificial intelligence tools being developed to identify and quantify many clinically relevant parameters in both pulmonary hypertension and related disease cohorts. These potentially provide accurate and efficient clinical information, impacting clinical decision-making.

Myeloperoxidase-ANCA IgG induces different forms of small vessel vasculitis based on type of synergistic immune stimuli

Anti-neutrophil cytoplasmic autoantibody (ANCA) vasculitis has diverse patterns of injury including microscopic polyangiitis (MPA), granulomatosis with polyangiitis (GPA), and eosinophilic granulomatosis with polyangiitis (EGPA). Necrotizing and crescentic glomerulonephritis (NCGN) occurs in all syndromes and as renal limited vasculitis (RLV). Single dose intravenous ANCA IgG-specific for mouse myeloperoxidase (MPO) causes RLV in mice. Although multiple mouse models have elucidated ANCA-IgG induced necrotizing and crescentic glomerulonephritis (NCGN), pathogenesis of ANCA-induced granulomatosis and vasculitis outside the kidney has not been clarified. To investigate this, we used intravenous MPO-ANCA IgG in the same strain of mice to induce different patterns of lung disease mirroring patients with granulomatosis with polyangiitis (GPA), microscopic polyangiitis (MPA), and eosinophilic granulomatosis with polyangiitis (EGPA). Repeated intravenous MPO-ANCA IgG induced GPA with NCGN, lung capillaritis, arteritis and granulomatosis. Lung leukocyte phenotypes were evaluated by immunohistochemical image analysis and by flow cytometry. ANCA lung capillaritis and microabscesses began within one day and evolved into granulomas in under seven days. Influenza plus single dose MPO-ANCA IgG induced MPA with NCGN, lung capillaritis and arteritis, but no granulomatosis. Allergic airway disease caused by house dust mites or ovalbumin plus single dose intravenous MPO-ANCA IgG induced EGPA with eosinophilic bronchiolitis, NCGN, capillaritis, arteritis, and granulomatosis. Thus, our study shows that the occurrence and pattern of lung lesions are determined by the same ANCA IgG accompanied by different synergistic immune factors.

Pattern of occupational lung disease among industrial workers attending a medical college of Eastern India.

Occupational lung diseases (OLDs) contribute a significant proportion to the global burden of pulmonary morbidities but are grossly misdiagnosed due to the relative lack of attribution given to occupational exposures. Obstructive lung diseases are known to be associated with long-lasting disability and loss of earning capacity (LOEC) among workers in industrial setups, thus reducing nationwide productivity. In this context, the study aimed to find out the pattern of OLD and factors associated with the severity of it among patients in a tertiary care hospital. The study was a record-based secondary data analysis conducted in the Medical Records Department of a Medical College in Kolkata. A computerized database of patients attending Special Medical Board (SMB) examinations from the Department of Medical Records was utilized for data collection. A data abstraction format was constructed to collect information on pulmonary morbidity, occupational exposure, and sociodemographic and behavioral variables. Extracted data were analyzed in Microsoft Excel and Statistical Package for Social Sciences (SPSS) software. After a review of records, it was shown that 62.3% (66 out of 106 people) of the study subjects had an obstructive type of OLD, the most common being Jute Byssinosis. A negative correlation (Spearman's ρ = -0.136) was found between pulmonary function (FEV1/FVC) and LOEC (%) in the study subjects. In the multivariable logistic regression, exposure to organic dust was found to be significantly associated with worsened lung function {adjusted-Odd's Ratio (95% Confidence Interval) =3.11 (1.1-8.8), P value = 0.03}. OLD is an understated health issue, especially in an industrial diaspora of developing countries, like India. Healthcare facilities should utilize their resources properly for the advancement of medical surveillance in industries where organic dust is produced. Health education of the stakeholders regarding the consequences of OLDs and the benefits of preventive primary approaches will go a long way in alleviating the burden of disease.

Impaired glycemic control as a risk factor for reduced lung function in the Indian diabetic population

Diabetes mellitus (DM) is a metabolic syndrome associated with chronic hyperglycemia, which results in various acute and chronic complications. DM leads to a state of chronic low-grade inflammation, which can have adverse effects on pulmonary functions. There have been contradictory studies related to the relationship between defects in lung functions in diabetic individuals and their correlation with glycemic control and systemic inflammatory markers. The present study aims to compare pulmonary function in controlled and uncontrolled diabetes in the Indian population while exploring the link between inflammatory markers and lung functions in diabetic patients. This observational, case-control study was conducted in the Department of Biochemistry at Sri Guru Ram Das Institute of Medical Sciences and Research in Amritsar, Punjab, on 116 subjects suffering from DM in the age group of 30-65 years. 58 diabetic patients with poor glycemic control [glycated hemoglobin (HbA1c)>7%] and 58 diabetic patients with good glycemic control served as controls (HbA1c≤7%). The duration of the study was two years. Blood samples of each patient were investigated for glycemic control, high-sensitivity C-reactive protein (hsCRP), and serum fibrinogen. Spirometry as a pulmonary function test was undertaken for all participants. The statistical analysis of good and poor glycemic control diabetics showed that the average duration of disease (in years) was 8±5 and 10.2±5.4, respectively. A significant positive correlation was found between inflammatory markers (hsCRP and fibrinogen) and HbA1c and fasting blood glucose. A substantial decline in forced vital capacity and normal values of forced expiratory volume in the first second was observed in poor glycemic control diabetics, depicting a restrictive pattern of lung disease. Lung damage is seen to be more prevalent in patients with a longer duration of disease and increased levels of inflammatory markers. Chronic inflammation due to DM can lead to fibrosis and destruction of lung tissue, resulting in the development of diabetic lung disease, which includes a decline in lung function, an increased risk of infection, and an increased risk of respiratory failure. Therefore, it is essential for individuals with DM to have regular pulmonary function tests and to manage their diabetes to minimize the impact on their lung health.

Central Role of CT in Management of Pulmonary Fibrosis.

With the approval of antifibrotic medications to treat patients with idiopathic pulmonary fibrosis and progressive pulmonary fibrosis, radiologists have an integral role in diagnosing these entities and guiding treatment decisions. CT features of early pulmonary fibrosis include irregular thickening of interlobular septa, pleura, and intralobular linear structures, with subsequent progression to reticular abnormality, traction bronchiectasis or bronchiolectasis, and honeycombing. CT patterns of fibrotic lung disease can often be reliably classified on the basis of the CT features and distribution of the condition. Accurate identification of usual interstitial pneumonia (UIP) or probable UIP patterns by radiologists can obviate the need for a tissue sample-based diagnosis. Other entities that can appear as a UIP pattern must be excluded in multidisciplinary discussion before a diagnosis of idiopathic pulmonary fibrosis is made. Although the imaging findings of nonspecific interstitial pneumonia and fibrotic hypersensitivity pneumonitis can overlap with those of a radiologic UIP pattern, these entities can often be distinguished by paying careful attention to the radiologic signs. Diagnostic challenges may include misdiagnosis of fibrotic lung disease due to pitfalls such as airspace enlargement with fibrosis, paraseptal emphysema, recurrent aspiration, and postinfectious fibrosis. The radiologist also plays an important role in identifying complications of pulmonary fibrosis-pulmonary hypertension, acute exacerbation, infection, and lung cancer in particular. In cases in which there is uncertainty regarding the clinical and radiologic diagnoses, surgical biopsy is recommended, and a multidisciplinary discussion among clinicians, radiologists, and pathologists can be used to address diagnosis and management strategies. This review is intended to help radiologists diagnose and manage pulmonary fibrosis more accurately, ultimately aiding in the clinical management of affected patients. ©RSNA, 2024 Supplemental material is available for this article.

A STUDY ON PULMONARY FUNCTION TEST AMONG PETROL-PUMP WORKERS IN TIRUNELVELI TOWN

Objective: In India, automobiles plying on roads are increasing every day. This has led to an increase in petrol-pump stations and an increase in pump workers. Petrol vapors and exhaust from vehicles have ill effects on the respiratory system. Petrol is a complex combination of hydrocarbons. Continuous exposure to petroleum vapours and exhaust from vehicles causes altered respiratory physiology. Methods: This study involved 50 petrol-pump workers (PPWs) with another 50 age-matched healthy adults. Their age, history of past illness, smoking exposure, and working hours were noted. Pulmonary function test was done using a computerized Spirometer to measure various parameters. Results: Parameters of pulmonary function in PPWs have a decline in mean values such as FVC, FEV1, peak expiratory flow rate, FIVC, forced expiratory flow (FEF) (25–75%), peak inspiratory flow, VC, and ERV when compared to the control group. It reflects the development of mixed patterns of lung disease (both obstructive and restrictive). Conclusion: It is suggested that reduction or control measures against air pollution including protective equipment, the future movement toward green fuels, and identifying and protecting susceptible workers occupationally exposed to petrol and diesel fumes would be beneficial to humanity and the ecosystem.

A Community-Based Cross-Sectional Study on Respiratory Health and Spirometry-Assessed Pulmonary Function Among Textile Workers in Tamil Nadu, India.

Introduction The textile industry is one of the largest economic activities. Still, the laborers involved in it are exposed to various health-damaging air pollutants, putting them at risk of health issues including morbidities of the respiratory system. Therefore, this study aimed to assess the pulmonary function parameters of the workers involved in textile manufacturing-related jobs. Methodology A cross-sectional study was carried out among adult individuals who had been working in textile manufacturing-related jobs as their main work. The details such as sociodemographic, clinical, workplace conditions, and smoking habits were collected, as well as chest auscultation and lung spirometry using a hand-held spirometer. The participants who had normal and abnormal lung function patterns were statistically analyzed for potential influencing factors. Results The findings of the study conducted from 95 eligible participants identified that the pulmonary function parameters assessed by spirometry were in the abnormal range among 84 (88%) participants. Around 72 (82%) of them had a restrictive pattern, and six (6%) had both restrictive and obstructive (mixed) patterns of lung disease. Smokers and those who lacked cross-ventilation and/or fresh source of air in the workplace were more likely to have abnormal lung function. Participants who had their workplace and residence as same had significantly 6.44 (95% CI: 1.24, 33.36) times higher odds of having abnormal lung function in spirometry. Conclusion As workers involved in household-run textile manufacturing jobs are found to be at a higher risk of developing abnormal lung function, using personal protective equipment, following occupational safety measures, and improving the working environment to acceptable standards are essential to safeguard the respiratory health of laborers in such unorganized sectors.

Imaging in the diagnosis and management of fibrosing interstitial lung diseases.

High-resolution computed tomography (HRCT) plays a pivotal role in the diagnosis and management of interstitial lung diseases (ILDs), particularly given the approval of antifibrotic agents for conditions like idiopathic pulmonary fibrosis and progressive pulmonary fibrosis. Diagnosing fibrotic pulmonary disorders through HRCT involves a detailed and methodical examination. The identification of specific lung tissue changes, including ground-glass opacities and reticulation, along with signs of fibrosis like honeycombing, traction bronchiectasis and lung volume loss, establishes clear HRCT patterns indicative of various ILDs. The reliability of these patterns in predicting pathological conditions depends largely on the clinical context. For instance, when a usual interstitial pneumonia pattern is present, the predictive value of this diagnosis is so high that a lung biopsy is considered to be redundant. This review intends to delineate the HRCT signs of fibrosis, elucidate the specific radiological patterns of fibrotic lung diseases, and identify the clinical circumstances under which these patterns emerge. Additionally, we introduce and discuss novel imaging techniques that hold promise for the diagnosis, screening and early detection of ILDs.

RADIOLOGICAL EVALUATION OF INTERSTITIAL LUNG DISEASES ON HIGH-RESOLUTION COMPUTED TOMOGRAPHY IN TERTIARY CARE CENTER OF NORTH INDIA

Objective: This study assessed the various high-resolution computed tomography (HRCT) patterns of interstitial lung diseases (ILDs) and to differentially diagnose ILD based on their clinical findings and distribution patterns. Methods: The study was conducted in the Department of Radiodiagnosis, Government Medical College and Rajindra Hospital, Patiala, Punjab, India. Forty-three patients with clinical suspicion of ILD were enrolled in the study. HRCT scans of the chest were done in all the cases taken in the study. Results: The mean age (±he age group of 51–60 years. We found slight female preponderance with females accounting for 53.5% and males accounting for 46.5% of the caseload. The most common presenting complaint was dyspnea on exertion (83.7%) followed by cough in 69.8%. The most frequent HRCT finding was septal thickening (90.7%), followed by tractional bronchiectasis (83.7%), fibrotic changes (72.1%), ground-glass opacities (65.1%), and honeycombing (58.1%). Based on HRCT findings, the most common HRCT pattern was the typical usual interstitial pneumonia pattern (58.1%), followed by the non-specific interstitial pneumonia pattern. The final diagnoses were made based on clinic-radiological findings and by the exclusion of other possibilities. The most common ILD reported was idiopathic pulmonary fibrosis (39.5%), followed by connective tissue disorder-ILD (20.9%), and SR-ILD (13.9%). This is followed by idiopathic non-specific interstitial pneumonia (11.6%), hypersensitivity pneumonitis (6.9%), and cryptogenic organizing pneumonia (2.3%). Conclusion: HRCT is a valuable technique for evaluating various ILDs even when chest X-rays are normal. It can differentially diagnose ILDs based on their clinical findings and distribution patterns.

Diagnosis of interstitial lung diseases: from Averill A. Liebow to artificial intelligence.

Histopathologic criteria of usual interstitial pneumonia (UIP)/idiopathic pulmonary fibrosis (IPF) were defined over the years and endorsed by leading organizations decades after Dr. Averill A. Liebow first coined the term UIP in the 1960s as a distinct pathologic pattern of fibrotic interstitial lung disease. Novel technology and recent research on interstitial lung diseases with genetic component shed light on molecular pathogenesis of UIP/IPF. Two antifibrotic agents introduced in the mid-2010s opened a new era of therapeutic approaches to UIP/IPF, albeit contentious issues regarding their efficacy, side effects, and costs. Recently, the concept of progressive pulmonary fibrosis was introduced to acknowledge additional types of progressive fibrosing interstitial lung diseases with the clinical and pathologic phenotypes comparable to those of UIP/IPF. Likewise, some authors have proposed a paradigm shift by considering UIP as a stand-alone diagnostic entity to encompass other fibrosing interstitial lung diseases that manifest a relentless progression as in IPF. These trends signal a pendulum moving toward the tendency of lumping diagnoses, which poses a risk of obscuring potentially important information crucial to both clinical and research purposes. Recent advances in whole slide imaging for digital pathology and artificial intelligence technology could offer an unprecedented opportunity to enhance histopathologic evaluation of interstitial lung diseases. However, current clinical practice trends of moving away from surgical lung biopsies in interstitial lung disease patients may become a limiting factor in this endeavor as it would be difficult to build a large histopathologic database with correlative clinical data required for artificial intelligence models.

Exploring Histologic Emphysema in a Rural Lobectomy Cohort: Insights and a Review Correlations of Histologic Emphysema

Exposure to cigarette smoking is extensive in rural Appalachia where one in four adults’ smokes. The clinical implications of this habit are evident among patients with some of the highest national rates for chronic obstructive pulmonary disease (COPD), lung cancer, and pulmonary fibrosis. Individuals undergoing surgical lung resection for suspicious lung nodules or masses at a major rural academic center in the area demonstrated an excessive burden of histologic emphysema (73.5%). This destructive process of the alveoli was linked to a significant burden of comorbid conditions, various radiologic patterns of interstitial lung diseases and interstitial lung abnormalities, histologic fibrosis, inflammatory processes (respiratory bronchitis, desquamative interstitial pneumonia, peribronchiolar metaplasia), anthracosis, and lung cancer. Physiologically, this combination of injuries imposed substantial limitations. Findings presented may enhance the understanding of concurrent changes occurring in the smoker. The complex inter-relationships and disparities between clinical COPD, radiologic and histologic emphysema are defined. While emphysema remains an irreversible pathology, associated inflammatory and fibrotic conditions are possibly amenable to earlier smoking cessation strategies and available disease-modifying therapies.

A Historic Cohort Analysis of Radiographic and Serologic Findings in Patients With Scleroderma and Interstitial Lung Disease.

Few studies have investigated associations between rheumatologic serology patterns and different interstitial lung disease (ILD) patterns. We present novel findings of a historic cohort study (n = 454) with data collected from 2011 to 2021 within our hospital system. In this institutional review board-approved study, data regarding rheumatologic serologies and ILD patterns were noted based on chart review in patients with scleroderma. The Kruskal-Wallis rank sum and χ2 tests were used for statistical analysis. Results showed a statistically significant association between anti-U1 snRNP with lymphoid interstitial pneumonia, which has not been previously described. We demonstrated novel serologic associations with ILD patterns, which have important clinical implications. More robust and high-powered studies are needed to elucidate the role of serologic testing and their association with ILD phenotypes.

Multimodality Appearances of Marginal Zone Lymphoma Masquerading as Cryptogenic Organizing Pneumonia-serial Chest Radiograph and High-resolution Computed Tomography Appearances: (18F) Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography Staging Utility.

Marginal zone lymphoma (MZL) is a group of low-grade, indolent, non-Hodgkin lymphomas rarely manifesting in the lungs. A 46-year-old man presenting with shortness of breath and cough was investigated and treated over 10 months for an atypical pattern of lung disease in keeping with cryptogenic organizing pneumonia (COP). Initial lung biopsies were nondiagnostic - repeat sampling eventually showed MZL. Staging whole-body (18F) fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) demonstrated multisystem stage IV disease with intensely avid widespread pulmonary changes resembling COP. The case elegantly illustrates that pulmonary MZL can present insidiously masquerading as COP and shows the value of (18F) FDG PET/CT to stage extranodal MZL.

Clinical Characteristics and Prognostic Value of Ro52/SSA Antibodies in Idiopathic Inflammatory Myopathies.

Anti-Ro52 are myositis-associated antibodies found in idiopathic inflammatory myopathies (IIMs). This chart review aims to evaluate the frequency, significance, and associated clinical characteristics of Ro52/SSA positivity in IIM patients. We performed a chart review of IIM patients diagnosed between January 2006 and December 2020. All patients met either the 1975 Bohan and Peter or the European League Against Rheumatism/American College of Rheumatology classification criteria for probable or definite myositis. Demographics, clinical and serologic parameters, treatments, and outcomes were compared in patients with anti-Ro52/SSA antibodies and patients without anti-Ro52/SSA antibodies. One hundred eighty-nine patients with IIM were tested for either Ro52 or SSA, with 45 positive for Ro52/SSA (23.8%). Patients with IIM and Ro52/SSA+ were younger at age at onset of disease (44.8 vs. 51.2 years, p = 0.008). Ro52/SSA+ was more common in antisynthetase syndrome (p < 0.001; odds ratio [OR], 4.44; 95% confidence interval [CI], 2.11-9.33) and not frequently identified in clinically amyopathic dermatomyositis (CADM) (p = 0.02; OR, 0.13; 95% CI, 0.02-0.96) or immune-mediated necrotizing myopathy (p = 0.003; OR, 0.14; 95% CI, 0.03-0.63). Of the extraskeletal muscle manifestations, interstitial lung disease (ILD) was strongly associated with Ro52/SSA+ (p < 0.001; OR, 6.61; 95% CI, 3.15-13.86), as was dysphagia (p = 0.006; OR, 2.73; 95% CI, 1.31-5.71). Interstitial lung disease pattern and pulmonary function testing impairment did not differ based on antibody status. There was no significant difference in outcomes between groups. In this myositis cohort, Ro52/SSA+ was present in nearly one-fourth of the population and had a strong association with the antisynthetase syndrome subtype, ILD, and dysphagia. Although these disease manifestations are associated with significant morbidity, in our cohort, they were not associated with increased mortality or more severe ILD.

CT Patterns of Interstitial Lung Disease in Patients with Plaque Psoriasis: A Retrospective Case Series Study.

Background and Objectives: Recently published articles reported an association between psoriasis and interstitial lung diseases (ILDs). The aim of this study is to evaluate the differences in ILD computed tomography (CT) patterns between smoker and never smoker plaque psoriasis (PP) patients under topical treatment without psoriatic arthritis (PA), inflammatory bowel disease (IBD) or connective tissue diseases (CTDs). Matherials and Methods: Two radiologists evaluated chest CT examinations of 65 patients (33 smokers, 32 never smokers) with PP. Results: Usual interstitial pneumonia (UIP) pattern was diagnosed in 36 patients, nonspecific interstitial pneumonia pattern in 19, hypersensitivity pneumonitis in 7 and pleuropulmonary fibroelastosis (PPFE) in 3 patients. UIP pattern showed a statistically significant higher frequency in smoker patients (p = 0.0351). Respiratory symptoms were reported in 80% of patients. Conclusions: ILDs seems to represent a new comorbidity associated with psoriasis. Moreover, a statistically significant association between smokers and UIP pattern in PP patients is found. Respiratory symptoms should be evaluated in PP patients, in collaboration with a radiologist and a pneumologist. However, further studies are required to better understand the epidemiology of ILDs in PP patients.

Classification of Interstitial lung disease patterns in CT images using convolutional neural network

Abstract-Automated tissue characterization is one of the most crucial components of a computer aided diagnosis (CAD) system for interstitial lung diseases (ILDs). Although much research has been conducted in this field, the problem remains challenging. Deep learning techniques have recently achieved impressive results in a variety of computer vision problems, raising expectations that they might be applied in other domains, such as medical image analysis. In this paper, we propose and evaluate a convolutional neural network (CNN), designed for the classification of ILD patterns. The proposed network consists of 5 convolutional layers with 2x2 kernels and LeakyReLU activations, followed by average pooling with size equal to the size of the final feature maps and three dense layers. The last dense layer has 7 outputs, equivalent to the classes considered: healthy, ground glass opacity (GGO), micro nodules, consolidation, reticulation, honeycombing and a combination of GGO/reticulation. To train and evaluate the CNN, we used a dataset of 1469 image patches, derived by 20 CT scans from different scanners and hospitals. To the best of our knowledge, this is the first deep CNN designed for the specific problem. The classification performance demonstrated the potential of CNNs in analysing lung patterns. Key Words: Micro nodules, honeycombing, image analysis, classification