scholarly journals Enhanced Classification of Interstitial Lung Disease Patterns in HRCT Images Using Differential Lacunarity

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Verónica Vasconcelos ◽  
João Barroso ◽  
Luis Marques ◽  
José Silvestre Silva
Keyword(s):  
Interstitial Lung Disease ◽  
Lung Disease ◽  
Texture Analysis ◽  
Lung Parenchyma ◽  
Normal Lung ◽  
Support Vector ◽  
High Resolution Computed Tomography ◽  
Disease Patterns ◽  
Vector Machines ◽  
Texture Attributes

The analysis and interpretation of high-resolution computed tomography (HRCT) images of the chest in the presence of interstitial lung disease (ILD) is a time-consuming task which requires experience. In this paper, a computer-aided diagnosis (CAD) scheme is proposed to assist radiologists in the differentiation of lung patterns associated with ILD and healthy lung parenchyma. Regions of interest were described by a set of texture attributes extracted using differential lacunarity (DLac) and classical methods of statistical texture analysis. The proposed strategy to compute DLac allowed a multiscale texture analysis, while maintaining sensitivity to small details. Support Vector Machines were employed to distinguish between lung patterns. Training and model selection were performed over a stratified 10-fold cross-validation (CV). Dimensional reduction was made based on stepwise regression (F-test,pvalue < 0.01) during CV. An accuracy of 95.8 ± 2.2% in the differentiation of normal lung pattern from ILD patterns and an overall accuracy of 94.5 ± 2.1% in a multiclass scenario revealed the potential of the proposed CAD in clinical practice. Experimental results showed that the performance of the CAD was improved by combining multiscale DLac with classical statistical texture analysis.

scholarly journals High resolution computed tomography and chest radiography findings among interstitial lung disease patients

2019 ◽  
Vol 9 (4) ◽  
pp. 24-27
Author(s):  
Anusmriti Pal ◽  
Manoj Kumar Yadav ◽  
Chiranjibi Pant ◽  
Bishow Kumar Shrestha
Keyword(s):  
Computed Tomography ◽  
High Resolution ◽  
Interstitial Lung Disease ◽  
Lung Disease ◽  
Imaging Modality ◽  
Lung Parenchyma ◽  
Median Number ◽  
High Resolution Computed Tomography ◽  
Cross Sectional ◽  
Diffuse Parenchymal Lung Diseases

Background: Interstitial lung disease (ILD) is a heterogeneous group of diffuse parenchymal lung diseases, characterized by restrictive physiology, impaired gas exchange, pulmonary inflammation and fibrosis. Chest radiograph (CXR) may appear normal during initial course of the disease and may show few abnormalities. High resolution computed tomography (HRCT) chest is a most ac­curate non-invasive, high spatial resolution descriptive imaging modality for evaluation of lung parenchyma. It assesses presence, location, type and characterization of ILD in appropriate clinical setting. Our aim was to study radiological patterns and its distribution in CXR and HRCT chest of ILD patients. Methods: This was an observational, single centered, cross-sectional study conducted at author’s place over the period of 6 months starting from January 2018 using convenient sampling method. Data analysis was done using students t-test for comparison of means and chi-square test for proportions. Results: A total of 30 suspected or diagnosed patients of ILD were enrolled in our study and pat­terns found on CXR were correlated with that on HRCT chest. The number of findings in HRCT chest for a patient was significantly higher than CXR (Median number: 4 verses 2, P<0.001), commonest reticular opacity 50% in CXR and 56.6% HRCT. One subject had normal CXR. Conclusion: HRCT was superior to CXR in detection of all basic patterns and their distribution as­sociated with ILD as higher numbers of findings were detected by HRCT chest as compared to CXR. HRCT chest could characterize the abnormality and specify its location much more accurately.

High-resolution CT-derived measures of lung density are valid indexes of interstitial lung disease

1994 ◽  
Vol 76 (1) ◽  
pp. 271-277 ◽  
Author(s):  
P. G. Hartley ◽  
J. R. Galvin ◽  
G. W. Hunninghake ◽  
J. A. Merchant ◽  
S. J. Yagla ◽  
...  
Keyword(s):  
High Resolution ◽  
Interstitial Lung Disease ◽  
Lung Disease ◽  
Lung Parenchyma ◽  
Study Groups ◽  
Computer Assisted ◽  
Gray Scale ◽  
High Resolution Computed Tomography ◽  
Lung Density ◽  
The Mean

To assess the validity of computer-assisted methods in analyzing the lung parenchyma imaged with high-resolution computed tomography (HRCT), we compared computer-derived estimates of lung density to other, more traditional, measures of parenchymal injury in 24 subjects with idiopathic pulmonary fibrosis (IPF) and 60 subjects with extensive occupational exposure to asbestos. Gray scale density histograms were constructed from the HRCT images. The gray scale histogram of both study groups was of a skewed unimodal distribution. However, compared with the asbestos-exposed subjects, the patients with IPF had a gray scale distribution that was significantly shifted to the right (greater density) and flatter. In a multivariate analysis, after controlling for age and cigarette smoking, we found that the mean and median gray scale densities were independently associated with the presence of moderate-to-severe dyspnea, a higher International Labour Office chest X-ray category, a lower forced vital capacity, and a higher concentration of macrophages and eosinophils in the bronchoalveolar lavage fluid. These factors accounted for > 70% of the variance of the mean and median gray scale densities. Interestingly, no differences in gray scale density measures were noted between patients with IPF and patients with asbestosis when these other factors were taken into account. Our results suggest that computer-derived density analysis of the lung parenchyma on the HRCT scan is a valid, clinically meaningful, and objective measure of interstitial lung disease.

scholarly journals Rheumatoid Arthritis Related Interstitial Lung Disease: Patterns of High-resolution Computed Tomography

Cureus ◽  
2020 ◽  
Author(s):  
Mahesh Gautam ◽  
Mah Jabeen Masood ◽  
Sadaf Arooj ◽  
Mufazzal-e-Haque Mahmud ◽  
Muhammad Umer Mukhtar
Keyword(s):  
Rheumatoid Arthritis ◽  
Computed Tomography ◽  
High Resolution ◽  
Interstitial Lung Disease ◽  
Lung Disease ◽  
High Resolution Computed Tomography ◽  
Disease Patterns

COMBINING GRAPH-CUT TECHNIQUE AND ANATOMICAL KNOWLEDGE FOR AUTOMATIC SEGMENTATION OF LUNGS AFFECTED BY DIFFUSE PARENCHYMAL DISEASE IN HRCT IMAGES

2011 ◽  
Vol 11 (04) ◽  
pp. 509-529 ◽  
Author(s):  
LAURENT MASSOPTIER ◽  
AVISHKAR MISRA ◽  
ARCOT SOWMYA ◽  
SERGIO CASCIARO
Keyword(s):  
Lung Disease ◽  
Automatic Segmentation ◽  
Lung Parenchyma ◽  
Graph Cut ◽  
Dice Similarity Coefficient ◽  
High Resolution Computed Tomography ◽  
Segmentation Evaluation ◽  
Lung Segmentation ◽  
Disease Patterns ◽  
Parenchymal Disease

Accurate and automated lung segmentation in high-resolution computed tomography (HRCT) is highly challenged by the presence of pathologies affecting lung parenchyma appearance and borders. The algorithm presented employs an anatomical model-driven approach and systematic incremental knowledge acquisition to produce coarse lung delineation, used as initialization for the graph-cut algorithm. The proposed method is evaluated on a 49 HRCT cases dataset including various lung disease patterns. The accuracy of the method is assessed using dice similarity coefficient (DSC) and shape differentiation metrics (d mean , d rms ), by comparing the outputs of automatic lung segmentations and manual ones. The proposed automatic method demonstrates high segmentation accuracy ( DSC = 96.64%, d mean = 1.75 mm, d rms = 3.27 mm) with low variation that depends on the lung disease pattern. It also presents good improvement over the initial lung segmentation (Δ DSC = 4.74%, Δd mean = -3.67 mm, Δd rms = -6.25 mm), including impressive amelioration (maximum values of Δ DSC = 58.22% and Δd mean = -78.66 mm) when the anatomy-driven algorithm reaches its limit. Segmentation evaluation shows that the method can accurately segment lungs even in the presence of disease patterns, with some limitations in the apices and bases of lungs. Therefore, the developed automatic segmentation method is a good candidate for the first stage of a computer-aided diagnosis system for diffuse lung diseases.

scholarly journals AB0605 CLINICAL PROFILE AND CHEST HIGH-RESOLUTION COMPUTED TOMOGRAPHY (HRCT) FINDINGS IN PATIENTS WITH CONNECTIVE TISSUE DISEASES AND INTERSTITIAL LUNG DISEASE: EXPERIENCE OF A SINGLE REFERENCE RHEUMATOLOGY CENTER

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1598.2-1599
Author(s):  
I. Rusu ◽  
L. Muntean ◽  
M. M. Tamas ◽  
I. Felea ◽  
L. Damian ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Systemic Sclerosis ◽  
High Resolution ◽  
Interstitial Lung Disease ◽  
Connective Tissue ◽  
Lung Disease ◽  
Interstitial Pneumonia ◽  
Connective Tissue Diseases ◽  
High Resolution Computed Tomography ◽  
Hrct Patterns

Background:Interstitial lung disease (ILD) is a common manifestation of connective tissue diseases (CTDs), and is associated with significant morbidity and mortality. Chest high-resolution computed tomography (HRCT) play an important role in the diagnosis of ILD and may provide prognostic information.Objectives:We aimed to characterize the clinical profile and chest HRCT abnormalities and patterns of patients diagnosed with CTDs and ILD.Methods:In this retrospective, observational study we included 80 consecutive patients with CTDs and ILD referred to a tertiary rheumatology center between 2015 and 2019. From hospital charts we collected clinical data, immunologic profile, chest HRCT findings. HRCT patterns were defined according to new international recommendations.Results:Out of 80 patients, 64 (80%) were women, with a mean age of 55 years old. The most common CTD associated with ILD was systemic sclerosis (38.8%), followed by polymyositis (22.5%) and rheumatoid arthritis (18.8%). The majority of patients had dyspnea on exertion (71.3%), bibasilar inspiratory crackles were present in 56.3% patients and 10% had clubbing fingers. Antinuclear antibodies (ANA) were present in 78.8% patients, and the most frequently detected autoantibodies against extractable nuclear antigen were anti-Scl 70 (28.8%), followed by anti-SSA (anti-Ro, 17.5%), anti-Ro52 (11.3%) and anti-Jo (7.5%). Intravenous cyclophosphamide therapy for 6-12 months was used in 35% of patients, while 5% of patients were treated with mycophenolate mofetil.The most frequent HRCT abnormalities were reticular abnormalities and ground glass opacity. Non-specific interstitial pneumonia (NSIP) was identified in 46.3% CTDs patients. A pattern suggestive of usual interstitial pneumonia (UIP) was present in 32.5% patients, mainly in patients with systemic sclerosis. In 21.3% patients the HRCT showed reticulo-nodular pattern, micronodules and other abnormalities, not diagnostic for UIP or NSIP pattern.Conclusion:Nonspecific interstitial pneumonia (NSIP) is the most common HRCT pattern associated with CTDs. Further prospective longitudinal studies are needed in order to determine the clinical and prognostic significance of various HRCT patterns encountered in CTD-associated ILD and for better patient management.References:[1]Ohno Y, Koyama H, Yoshikaua T, Seki S. State-of-the-Art Imaging of the Lung for Connective Tissue Disease (CTD). Curr Rheumatol Rep. 2015;17(12):69.[2]Walsh SLF, Devaraj A, Enghelmeyer JI, Kishi K, Silva RS, Patel N, et al. Role of imaging in progressive-fibrosing interstitial lung diseases. Eur Respir Rev. 2018;27(150)Disclosure of Interests:None declared

scholarly journals Interstitial Lung Disease and Anti-Myeloperoxidase Antibodies: Not a Simple Association

2021 ◽  
Vol 10 (12) ◽  
pp. 2548
Author(s):  
Marco Sebastiani ◽  
Fabrizio Luppi ◽  
Gianluca Sambataro ◽  
Diego Castillo Villegas ◽  
Stefania Cerri ◽  
...  
Keyword(s):  
Interstitial Lung Disease ◽  
Rheumatic Disease ◽  
Lung Disease ◽  
Interstitial Pneumonia ◽  
Usual Interstitial Pneumonia ◽  
Clinical History ◽  
High Resolution Computed Tomography ◽  
Function Testing ◽  
And Diffusion

Anti-neutrophil cytoplasmic antibodies (ANCA), mainly anti-myeloperoxidase (MPO) antibodies, have been frequently identified in patients with idiopathic pulmonary fibrosis (IPF). However, their role remains unclear, and only 7–23% of these patients develops clinically overt vasculitis. We aimed to investigate the clinical, serological, and radiological features and prognosis of anti-MPO-positive interstitial lung disease (ILD) patients. Fifty-eight consecutive patients firstly referred for idiopathic interstitial pneumonia and showing serological positivity of anti-MPO antibodies were retrospectively enrolled. For each patient, clinical data, lung function testing, chest high-resolution computed tomography (HRCT) pattern, and survival were recorded. Thirteen patients developed a rheumatic disease during a median follow-up of 39 months. Usual interstitial pneumonia (UIP) was the most frequent ILD pattern, significantly influencing the patients’ survival. In fact, while the 52-week survival of the overall population was 71.4 ± 7.5%, significantly higher than IPF, survivals of anti-MPO patients with UIP pattern and IPF were similar. Forced vital capacity and diffusion lung capacity for CO significantly declined in 37.7 and 41.5% of cases, respectively, while disease progression at chest HRCT was observed in 45.2%. A careful clinical history and evaluation should always be performed in ILD patients with anti-MPO antibodies to quickly identify patients who are developing a systemic rheumatic disease.

scholarly journals Estimates of epidemiology, mortality and disease burden associated with progressive fibrosing interstitial lung disease in France (the PROGRESS study)

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Mouhamad Nasser ◽  
Sophie Larrieu ◽  
Loic Boussel ◽  
Salim Si-Mohamed ◽  
Fabienne Bazin ◽  
...  
Keyword(s):  
Interstitial Lung Disease ◽  
Lung Disease ◽  
Healthcare Resource ◽  
Pulmonary Function Tests ◽  
Healthcare Services ◽  
Resource Utilisation ◽  
High Resolution Computed Tomography ◽  
Healthcare Database ◽  
Healthcare Resource Utilisation ◽  
Kaplan Meier

Abstract Background There is a paucity of data on the epidemiology, survival estimates and healthcare resource utilisation and associated costs of patients with progressive fibrosing interstitial lung disease (PF-ILD) in France. An algorithm for extracting claims data was developed to indirectly identify and describe patients with PF-ILD in the French national administrative healthcare database. Methods The French healthcare database, the Système National des Données de Santé (SNDS), includes data related to ambulatory care, hospitalisations and death for 98.8% of the population. In this study, algorithms based on age, diagnosis and healthcare consumption were created to identify adult patients with PF-ILD other than idiopathic pulmonary fibrosis between 2010 and 2017. Incidence, prevalence, survival estimates, clinical features and healthcare resource usage and costs were described among patients with PF-ILD. Results We identified a total of 14,413 patients with PF-ILD. Almost half of them (48.1%) were female and the mean (± standard deviation) age was 68.4 (± 15.0) years. Between 2010 and 2017, the estimated incidence of PF-ILD ranged from 4.0 to 4.7/100,000 person-years and the estimated prevalence from 6.6 to 19.4/100,000 persons. The main diagnostic categories represented were exposure-related ILD other than hypersensitivity pneumonitis (n = 3486; 24.2%), idiopathic interstitial pneumonia (n = 3113; 21.6%) and rheumatoid arthritis-associated ILD (n = 2521; 17.5%). Median overall survival using Kaplan–Meier estimation was 3.7 years from the start of progression. During the study, 95.2% of patients had ≥ 1 hospitalisation for respiratory care and 34.3% were hospitalised in an intensive care unit. The median (interquartile range) total specific cost per patient during the follow-up period was €25,613 (10,622–54,287) and the median annual cost per patient was €18,362 (6856–52,026), of which €11,784 (3003–42,097) was related to hospitalisations. Limitations included the retrospective design and identification of cases through an algorithm in the absence of chest high-resolution computed tomography scans and pulmonary function tests. Conclusions This large, real-world, longitudinal study provides important insights into the characteristics, epidemiology and healthcare resource utilisation and costs associated with PF-ILD in France using a comprehensive and exhaustive database, and provides vital evidence that PF-ILD represents a high burden on both patients and healthcare services. Trial registration ClinicalTrials.gov, NCT03858842. ISRCTN, ISRCTN12345678. Registered 3 January 2019—Retrospectively registered, https://clinicaltrials.gov/ct2/show/NCT03858842

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