scholarly journals Factors associated with heart failure in patients with interstitial lung diseases

2018 ◽  
Vol 96 (9) ◽  
pp. 814-819
Author(s):  
Elena I. Leonova ◽  
E. I. Shmelev ◽  
I. E. Stepanyan ◽  
E. F. Shergina ◽  
A. S. Zaitseva
Keyword(s):  
Heart Failure ◽  
Right Ventricle ◽  
Lung Diseases ◽  
Target Therapy ◽  
Systolic Dysfunction ◽  
Interstitial Lung Diseases ◽  
High Resolution Computed Tomography ◽  
Basal Diameter ◽  
Factors Associated ◽  
Lung Capacity

Introduction. Investigation of relationships between interstitial lung diseases (ILD) and development of heart failure would be useful for determining target therapy of heart failure (HF) among such patients. Aims.To study intracardiac hemodynamic and factors associated with its dysfunction among patients with ILD. 40 patients including: 34 with Chronic Hypersensitivity Pneumonitis (HP) and 6 with idiopathic pulmonary fibrosis (IPF). Methods. Pulmonary high-resolution computed tomography, echocardiography, spirometry, diffusing lung capacity for carbon monoxide (DLCO), bodypletysmography, blood oxygen (PaO ) were estimated. Results. 55.9% of patients with HP and all patients with IPF had a «cor pulmonale» with diastolic disfunction (DD), and 40% of them also had systolic dysfunction of right ventricle (RV). DD of left ventricle (LV) of I type was found among 10% of patients. 20% of patients were diagnosed with high pulmonary pressure (PP). The basal diameter of right ventricle (BDRV) correlated with DLCO (r=-0,718, p=0,004), PaO (r=-0,690, p=0,006), lung fibrosis (LF) (r=0,602, p=0,002). Tricuspid Annular Plane Systolic Excursion (TAPSE) correlated with mitral E/E’ ratio, tricuspid E/E’ ratio, total lung capacity (TLC) and LF (r=-0,753, p=0,002). Parameters of DD of RV significantly correlated with BDRV, TLC, DLCO, LF. Mitral E/E’ ratio correlated with DLCO and LF. PP corresponded with DLCO, DD of LV, LF (r=0,536, p=0,03) Conclusions. Correlation of LF with parameters of heart failure makes it one of the targets for ILD therapy as well as HF associated with ILD.

scholarly journals The Role of Transthoracic Ultrasound in the Study of Interstitial Lung Diseases: High-Resolution Computed Tomography Versus Ultrasound Patterns: Our Preliminary Experience

Diagnostics ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 439
Author(s):  
Donato Lacedonia ◽  
Giulia Scioscia ◽  
Angelamaria Giardinelli ◽  
Carla Maria Irene Quarato ◽  
Ennio Vincenzo Sassani ◽  
...  
Keyword(s):  
Computed Tomography ◽  
High Resolution ◽  
Lung Diseases ◽  
Interstitial Lung Diseases ◽  
High Resolution Computed Tomography ◽  
Pleural Line ◽  
Complementary Role ◽  
Number Of Patients ◽  
Significant Difference ◽  
Transthoracic Ultrasound

Transthoracic ultrasound (TUS) is a readily available imaging tool that can provide a quick real-time evaluation. The aim of this preliminary study was to establish a complementary role for this imaging method in the approach of interstitial lung diseases (ILDs). TUS examination was performed in 43 consecutive patients with pulmonary fibrosis and TUS findings were compared with the corresponding high-resolution computed tomography (HRCT) scans. All patients showed a thickened hyperechoic pleural line, despite no difference between dominant HRCT patterns (ground glass, honeycombing, mixed pattern) being recorded (p > 0.05). However, pleural lines’ thickening showed a significant difference between different HRCT degree of fibrosis (p < 0.001) and a negative correlation with functional parameters. The presence of >3 B-lines and subpleural nodules was also assessed in a large number of patients, although they did not demonstrate any particular association with a specific HRCT finding or fibrotic degree. Results allow us to suggest a complementary role for TUS in facilitating an early diagnosis of ILD or helping to detect a possible disease progression or eventual complications during routine clinical practice (with pleural line measurements and subpleural nodules), although HRCT remains the gold standard in the definition of ILD pattern, disease extent and follow-up.

scholarly journals High Resolution Computed Tomography Scan Assessment of Different Interstitial Lung Diseases

2020 ◽  
Vol 7 (22) ◽  
pp. 1062-1067
Author(s):  
Mrinal Kanti Ghosh ◽  
Priyadarshini Sur ◽  
Mustafijur Rahaman ◽  
Soumitra Kumar Ghosh ◽  
Raman Sau ◽  
...  
Keyword(s):  
Computed Tomography ◽  
High Resolution ◽  
Lung Diseases ◽  
Interstitial Lung Diseases ◽  
Computed Tomography Scan ◽  
High Resolution Computed Tomography ◽  
Tomography Scan

scholarly journals Computed Tomography Findings as Determinants of Local and Systemic Inflammation Biomarkers in Interstitial Lung Diseases: A Retrospective Registry-based Descriptive Study

2021 ◽  
Author(s):  
David Lang ◽  
Kaveh Akbari ◽  
Andreas Horner ◽  
Magdalena Hepp ◽  
Bernhard Kaiser ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Blood Lymphocyte ◽  
Lung Diseases ◽  
Interstitial Lung Diseases ◽  
University Hospital ◽  
Federal State ◽  
High Resolution Computed Tomography ◽  
Neutrophil Lymphocyte Ratio ◽  
Lymphocyte Fraction ◽  
Hrct Finding

Abstract Purpose: To evaluate the association of peripheral blood (PBL) and broncho-alveolar lavage (BAL) biomarkers with inflammatory versus fibrotic high-resolution computed tomography (HRCT) findings in interstitial lung diseases (ILD). Methods: HRCT of 127 subsequent ILD-board patients were semi-quantitatively evaluated in a standardized way: Reticulation/honeycombing (RET), traction bronchiectasis (TBR) and emphysema (EMP) were classified as non-inflammatory/fibrotic; consolidations (CON), ground glass opacities (GGO), noduli (NDL) and mosaic attenuation (MOS) as active inflammatory findings. Presence or absence of each HRCT finding was counted in 6 distinct lung regions, resulting scores were graded as minimal (0–1 regions involved), medium (2–4) or extensive (5–6). Associations of routinely assessed PBL/BAL biomarkers with these radiological scores were evaluated using Spearman correlation coefficients and graphical presentation; significance of the graded HRCT scores was tested by applying Kruskal-Wallis tests. Results: Blood neutrophil, lymphocyte and eosinophil fraction, neutrophil-lymphocyte ratio (NLR) and BAL lymphocyte fraction consistently showed opposite correlations for inflammatory versus non-inflammatory/fibrotic HRCT finding scores. Blood lymphocyte fraction significantly differed by graded GGO (p = 0.032) and CON (p = 0.027) extent, eosinophil fraction by TBR (p = 0.006) and NLR by CON (p = 0.009). C-reactive protein was significantly related to GGO (p = 0.023) and CON (p = 0.004), BAL lymphocyte fraction to GGO (p = 0.017). Conclusion: Blood lymphocyte and eosinophil fraction, NLR, CRP and BAL lymphocyte fraction may aid to differentiate inflammatory from non-inflammatory/fibrotic ILD patterns. Trial registration: This evaluation was based on data from the ILD registry of Kepler University Hospital Linz, as approved by the ethics committee of the federal state of Upper-Austria (EK Nr. I-26-17).

scholarly journals The Extent and Diverse Trajectories of Longitudinal Changes in Rheumatoid Arthritis Interstitial Lung Diseases Using Quantitative HRCT Scores

2021 ◽  
Vol 10 (17) ◽  
pp. 3812
Author(s):  
Jeong Seok Lee ◽  
Grace-Hyun J Kim ◽  
You-Jung Ha ◽  
Eun Ha Kang ◽  
Yun Jong Lee ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Lung Diseases ◽  
Disease Duration ◽  
Single Point ◽  
Ground Glass Opacity ◽  
Interstitial Lung Diseases ◽  
High Resolution Computed Tomography ◽  
Baseline Serum ◽  
Longitudinal Changes ◽  
Point Increase

We aimed to validate quantitative high-resolution computed tomography (HRCT) imaging analyses of interstitial lung disease (ILD) in rheumatoid arthritis (RA) patients, and to delineate a broad spectrum of annual longitudinal changes of ILD severity in the RA-ILD cohorts. Retrospective cohort 1 (n = 26) had matched PFT results and prospective cohort 2 (n = 34) were followed for over two years with baseline serum specimen. Automated quantitative analysis of HRCT was expressed as the extent of ground-glass opacity, lung fibrosis, honeycombing, and their summation—the total extent of quantitative ILD (QILD). Higher QILD score was associated with lower pulmonary function especially for DLCO% (ρ = −0.433, p = 0.027). Higher serum level of Krebs von den Lungen 6 were significantly associated with high QILD scores (ρ = 0.400, p = 0.026). Regarding QILD score changes in whole lung, even a single point increase was significantly associated with interval progression detected by the radiologist. Four distinct patterns (improvement, worsening, convex-like, and concave-like) during the 24 months were described by QILD scores. Prolonged disease duration of ILD at baseline was significantly associated with worsening of QILD scores. QILD has the potential to reliably evaluate the dynamic severity changes in patients with RA-ILD.

scholarly journals High-resolution computed tomography as a non-invasive imaging biomarker for interstitial lung diseases: a tertiary center study

2021 ◽  
Vol 8 (2) ◽  
pp. 207
Author(s):  
Krishna Pratap Singh Senger ◽  
Ankita Singh
Keyword(s):  
Computed Tomography ◽  
High Resolution ◽  
Interstitial Pneumonia ◽  
Lung Diseases ◽  
Interstitial Lung Diseases ◽  
Imaging Biomarker ◽  
Histopathological Diagnosis ◽  
High Resolution Computed Tomography ◽  
Non Invasive ◽  
Tertiary Center

Background: Interstitial lung diseases (ILD) are a heterogeneous group of non-neoplastic disorders resulting from damage to the lung parenchyma by varying patterns of inflammation and fibrosis. With high-resolution computed tomography (HRCT) the pattern of lung damage can be mapped accurately which may help to identify specific ILD.Methods: 65 diagnosed cases of ILD by HRCT who were admitted to a tertiary care chest hospital, formed the study group. All these patients also underwent histopathological confirmation as per hospital protocol. The study was done over a period from August 2016 to July 2019. Clinical details, chest x-ray, HRCT and histopathological data was collected and analysed using 2x2 table for detecting sensitivity, specificity, positive predictive value (PPV) and negative predictive values (NPV).Results: For diagnosing ILD like acute interstitial pneumonia (AIP), LIP and RB ILD the HRCT fared equally well in diagnostic utility as compared to histopathological examination. But in certain conditions like non-specific interstitial pneumonia (NSIP) the HRCT performed poorly in terms of PPV as compared to gold standard histopathology. In Bronchiolitis obliterans organizing pneumonia (BOOP) and usual interstitial pneumonia (UIP) again the HRCT performed fairly well as compared to gold standard.Conclusions: HRCT shows good correlation with histopathological diagnosis in identifying a various subtype of ILD and may thus serve a useful non-invasive, imaging biomarker not only for diagnosing a particular ILD but for prognostication and response to treatment.

Computed tomography in the differential diagnosis of interstitial lung diseases in occupational health

2020 ◽  
pp. 572-572
Author(s):  
T. B. Burmistrova
Keyword(s):  
Computed Tomography ◽  
Differential Diagnosis ◽  
High Resolution ◽  
Lung Diseases ◽  
Interstitial Lung Diseases ◽  
Pulmonary Diseases ◽  
High Resolution Computed Tomography ◽  
Fibrosing Alveolitis ◽  
Additional Method ◽  
Hypersensitive Pneumonitis

High-resolution computed tomography made it possible to assess changes in the lungs from the effects of industrial aerosols in the development of interstitial pulmonary diseases of professional and non-professional Genesis in 342 patients: pneumoconiosis, hypersensitive pneumonitis, allergic and fibrosing alveolitis, sarcoidosis, pulmonary tuberculosis. High-resolution computed tomography was an additional method in the diagnosis of various forms of lung diseases.

scholarly journals Deep learning in interstitial lung disease—how long until daily practice

2020 ◽  
Vol 30 (11) ◽  
pp. 6285-6292
Author(s):  
Ana Adriana Trusculescu ◽  
Diana Manolescu ◽  
Emanuela Tudorache ◽  
Cristian Oancea
Keyword(s):  
Deep Learning ◽  
Idiopathic Pulmonary Fibrosis ◽  
Pulmonary Fibrosis ◽  
Early Diagnosis ◽  
Lung Disease ◽  
Lung Diseases ◽  
Daily Practice ◽  
Interstitial Lung Diseases ◽  
Learning Approaches ◽  
High Resolution Computed Tomography

Abstract Interstitial lung diseases are a diverse group of disorders that involve inflammation and fibrosis of interstitium, with clinical, radiological, and pathological overlapping features. These are an important cause of morbidity and mortality among lung diseases. This review describes computer-aided diagnosis systems centered on deep learning approaches that improve the diagnostic of interstitial lung diseases. We highlighted the challenges and the implementation of important daily practice, especially in the early diagnosis of idiopathic pulmonary fibrosis (IPF). Developing a convolutional neuronal network (CNN) that could be deployed on any computer station and be accessible to non-academic centers is the next frontier that needs to be crossed. In the future, early diagnosis of IPF should be possible. CNN might not only spare the human resources but also will reduce the costs spent on all the social and healthcare aspects of this deadly disease. Key Points • Deep learning algorithms are used in pattern recognition of different interstitial lung diseases. • High-resolution computed tomography plays a central role in the diagnosis and in the management of all interstitial lung diseases, especially fibrotic lung disease. • Developing an accessible algorithm that could be deployed on any computer station and be used in non-academic centers is the next frontier in the early diagnosis of idiopathic pulmonary fibrosis.

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