Quantitative assessment of change in regional disease patterns on serial HRCT of fibrotic interstitial pneumonia with texture-based automated quantification system

Yoon, Ra Gyoung; Seo, Joon Beom; Kim, Namkug; Lee, Hyun Joo; Lee, Sang Min; Lee, Young Kyung; Song, Jae Woo; Song, Jin Woo; Kim, Dong Soon

doi:10.1007/s00330-012-2634-8

Cited by 30 publications

(39 citation statements)

References 27 publications

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“…Although there is a risk of misclassification, our AQS showed substantial agreement with visual assessment (by S.M.L.) in the evaluation of emphysema extent (κ = 0.708, P < 0.001), similar to previous studies .…”

Section: Discussionsupporting

confidence: 87%

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Effects of emphysema on physiological and prognostic characteristics of lung function in idiopathic pulmonary fibrosis

et al. 2018

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Section: Discussionsupporting

confidence: 87%

“…To estimate the volume of each regional pattern, the area of each class was multiplied by the slice thickness of the HRCT image. The details have been described in previous studies . Emphysema extent was calculated as the proportion of emphysema within the whole lung volume.…”

Section: Methodsmentioning

confidence: 99%

Effects of emphysema on physiological and prognostic characteristics of lung function in idiopathic pulmonary fibrosis

et al. 2018

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“…A higher magnification (D) shows the lining to be formed by ciliated columnar cells. considered a feature incompatible with UIP, they are commonly seen to a lesser extent [5][6][7][8][9], but it is unclear what these represent pathologically.…”

Section: Introductionmentioning

confidence: 97%

A comparative study of honeycombing on high resolution computed tomography with histologic lung remodeling in explants with usual interstitial pneumonia

Staats

Kligerman

Todd

et al. 2015

Pathology - Research and Practice

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“…Most studies are based on 2-D texture analysis on a slice basis [16, 17, 18]. Few studies fully leverage the wealth of 3-D data contained in contemporary volumetric CT datasets, specifically employing 3-D solid texture analysis [14, 19, 20].…”

Section: Introductionmentioning

confidence: 99%

Automated Classification of Usual Interstitial Pneumonia Using Regional Volumetric Texture Analysis in High-Resolution Computed Tomography

Depeursinge¹,

Chin

Leung

et al. 2015

Investigative Radiology

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Objectives We propose a novel computational approach for the automated classification of classic versus atypical usual interstitial pneumonia (UIP). Materials and Methods 33 patients with UIP were enrolled in this study. They were classified as classic versus atypical UIP by a consensus of two thoracic radiologists with more than 15 years of experience using the American Thoracic Society evidence–based guidelines for CT diagnosis of UIP. Two cardiothoracic fellows with one year of subspecialty training provided independent readings. The system is based on regional characterization of the morphological tissue properties of lung using volumetric texture analysis of multiple detector CT images. A simple digital atlas with 36 lung subregions is used to locate texture properties, from which the responses of multi-directional Riesz wavelets are obtained. Machine learning is used to aggregate and to map the regional texture attributes to a simple score that can be used to stratify patients with UIP into classic and atypical subtypes. Results We compared the predictions based on regional volumetric texture analysis with the ground truth established by expert consensus. The area under the receiver operating characteristic curve of the proposed score was estimated to be 0.81 using a leave-one-patient-out cross-validation, with high specificity for classic UIP. The performance of our automated method was found to be similar to that of the two fellows and to the agreement between experienced chest radiologists reported in the literature. However, the errors of our method and the fellows occurred on different cases, which suggests that combining human and computerized evaluations may be synergistic. Conclusions Our results are encouraging and suggest that an automated system may be useful in routine clinical practice as a diagnostic aid for identifying patients with complex lung disease such as classic UIP, obviating the need for invasive surgical lung biopsy and its associated risks.

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Quantitative assessment of change in regional disease patterns on serial HRCT of fibrotic interstitial pneumonia with texture-based automated quantification system

Abstract: Our AQS is comparable with visual assessment for evaluating the disease extent and the interval changes of FIP on HRCT.

Cited by 30 publications

References 27 publications

Effects of emphysema on physiological and prognostic characteristics of lung function in idiopathic pulmonary fibrosis

Effects of emphysema on physiological and prognostic characteristics of lung function in idiopathic pulmonary fibrosis

A comparative study of honeycombing on high resolution computed tomography with histologic lung remodeling in explants with usual interstitial pneumonia

Automated Classification of Usual Interstitial Pneumonia Using Regional Volumetric Texture Analysis in High-Resolution Computed Tomography

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