Directional Multi-scale Modeling of High-Resolution Computed Tomography (HRCT) Lung Images for Diffuse Lung Disease Classification

2009 ◽  
pp. 663-671 ◽  
Author(s):  
Kiet T. Vo ◽  
Arcot Sowmya
Keyword(s):  
Computed Tomography ◽  
High Resolution ◽  
Lung Disease ◽  
Disease Classification ◽  
High Resolution Computed Tomography ◽  
Diffuse Lung Disease ◽  
Multi Scale ◽  
Scale Modeling ◽  
Multi Scale Modeling ◽  
Diffuse Lung

Reader accuracy and confidence in diagnosing diffuse lung disease on high-resolution computed tomography of the lungs: impact of sampling frequency

2008 ◽  
Vol 49 (8) ◽  
pp. 870-875 ◽  
Author(s):  
B. Sundaram ◽  
B. H. Gross ◽  
E. Oh ◽  
N. Müller ◽  
J. D. Myles ◽  
...  
Keyword(s):  
Computed Tomography ◽  
High Resolution ◽  
Lung Disease ◽  
Sampling Frequency ◽  
High Resolution Computed Tomography ◽  
Diffuse Lung Disease ◽  
First Choice ◽  
The Mean ◽  
The Impact ◽  
Diffuse Lung

Background: The accuracy of the number of high-resolution computed tomography (HRCT) images necessary to diagnose diffuse lung disease (DLD) is not well established. Purpose: To evaluate the impact of HRCT sampling frequency on reader confidence and accuracy for diagnosing DLD. Material and Methods: HRCT images of 100 consecutive patients with proven DLD were reviewed. They were: 48 usual interstitial pneumonia, 22 sarcoidosis, six hypersensitivity pneumonitis, five each of desquamative interstitial pneumonitis, eosinophilic granulomatosis, and lymphangioleiomyomatosis, and nine others. Inspiratory images at 1-cm increments throughout the lungs and three specified levels formed complete and limited examinations. In random order, three experts (readers 1, 2, and 3) ranked their top three diagnoses and rated confidence for their top diagnosis, independently and blinded to clinical information. Results: Using the complete versus limited examinations for correct first-choice diagnosis, accuracy for reader 1 (R1) was 81% versus 80%, respectively, for reader 2 (R2) 70% versus 70%, and for reader 3 (R3) 64% versus 59%. Reader accuracy within their top three choices for complete versus limited examinations was: R1 91% versus 91% of cases, respectively, R2 84% versus 83%, and R3 79% versus 72% of cases. No statistically significant differences were found between the diagnosis methods ( P=0.28 for first diagnosis and P=0.17 for top three choices). The confidence intervals for individual raters showed considerable overlap, and the point estimates are almost identical. The mean interreader agreement for complete versus limited HRCT for both top and top three diagnoses were the same (moderate and fair, respectively). The mean intrareader agreement between complete and limited HRCT for top and top three diagnoses were substantial and moderate, respectively. Conclusion: Overall reader accuracy and confidence in diagnosis did not significantly differ when fewer or more HRCT images were used.

scholarly journals The role of high-resolution computed tomography in the follow-up of diffuse lung disease

2017 ◽  
Vol 26 (144) ◽  
pp. 170008 ◽  
Author(s):  
Brett M. Elicker ◽  
Kimberly G. Kallianos ◽  
Travis S. Henry
Keyword(s):  
Computed Tomography ◽  
High Resolution ◽  
Lung Disease ◽  
Pulmonary Function Tests ◽  
Clinical History ◽  
High Resolution Computed Tomography ◽  
Diffuse Lung Disease ◽  
Diffuse Lung

High-resolution computed tomography (HRCT) of the lung is a key component of the multidisciplinary approach to diagnosis in diffuse lung disease (DLD). HRCT also plays an important role in the follow-up of patients with established DLD. In this respect, serial HRCT examinations may provide valuable information that cannot be determined from clinical history and other diagnostic tests, such as pulmonary function tests. Important roles of HRCT in this context include assisting in determining prognosis, monitoring for the efficacy of treatment, detecting progression of disease or complications, and evaluating patients with worsening or acute symptoms. Both clinicians and radiologists should be aware of the expected evolution of HRCT changes in a variety of DLDs. The goals of this paper are to discuss: 1) the expected evolution of HRCT findings over time in common DLDs; 2) the role of serial HRCT examinations in formulating an initial diagnosis; and 3) the role of HRCT in the follow-up of patients with known DLD.

Quantitative computerized analysis of diffuse lung disease in high-resolution computed tomography

2003 ◽  
Vol 30 (9) ◽  
pp. 2440-2454 ◽  
Author(s):  
Yoshikazu Uchiyama ◽  
Shigehiko Katsuragawa ◽  
Hiroyuki Abe ◽  
Junji Shiraishi ◽  
Feng Li ◽  
...  
Keyword(s):  
Computed Tomography ◽  
High Resolution ◽  
Lung Disease ◽  
High Resolution Computed Tomography ◽  
Diffuse Lung Disease ◽  
Computerized Analysis ◽  
Diffuse Lung

High-resolution computed tomography and diffuse lung disease

1992 ◽  
Vol 21 (2) ◽  
pp. 33-74
Author(s):  
Jeffrey R. Galvin ◽  
William Stanford ◽  
Masaki Mori
Keyword(s):  
Computed Tomography ◽  
High Resolution ◽  
Lung Disease ◽  
High Resolution Computed Tomography ◽  
Diffuse Lung Disease ◽  
Diffuse Lung

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

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