Details:

Alternative Title:
Acad Radiol
Personal Author:
Chan, Kung-Sik ; Jiao, Feiran ; Mikulski, Marek A. ; Gerke, Alicia ; Guo, Junfeng ; ... More +
Chan, Kung-Sik ; Jiao, Feiran ; Mikulski, Marek A. ; Gerke, Alicia ; Guo, Junfeng ; Newell, John D ; Hoffman, Eric A. ; Thompson, Brad ; Lee, Chang Hyun ; Fuortes, Laurence J. ; Less -
Description:
Rationale and Objectives We evaluated the role of automated quantitative computed tomography (CT) scan interpretation algorithm in detecting Interstitial Lung Disease (ILD) and/or emphysema in a sample of elderly subjects with mild lung disease.ypothesized that the quantification and distributions of CT attenuation values on lung CT, over a subset of Hounsfield Units (HU) range [−1000 HU, 0 HU], can differentiate early or mild disease from normal lung. Materials and Methods We compared results of quantitative spiral rapid end-exhalation (functional residual capacity; FRC) and end-inhalation (total lung capacity; TLC) CT scan analyses in 52 subjects with radiographic evidence of mild fibrotic lung disease to 17 normal subjects. Several CT value distributions were explored, including (i) that from the peripheral lung taken at TLC (with peels at 15 or 65mm), (ii) the ratio of (i) to that from the core of lung, and (iii) the ratio of (ii) to its FRC counterpart. We developed a fused-lasso logistic regression model that can automatically identify sub-intervals of [−1000 HU, 0 HU] over which a CT value distribution provides optimal discrimination between abnormal and normal scans. Results The fused-lasso logistic regression model based on (ii) with 15 mm peel identified the relative frequency of CT values over [−1000, −900] and that over [−450,−200] HU as a means of discriminating abnormal versus normal, resulting in a zero out-sample false positive rate and 15%false negative rate of that was lowered to 12% by pooling information. Conclusions We demonstrated the potential usefulness of this novel quantitative imaging analysis method in discriminating ILD and/or emphysema from normal lungs.
Subject:
[+]
Adult
Aged
Aged, 80 And Over
Algorithms
Article
Exhalation
False Negative Reactions
False Positive Reactions
Female
Functional Residual Capacity
Fused Lasso
Humans
IDL
Logistic Models
Logistic Regression
Lung
Lung Diseases, Interstitial
Male
Middle Aged
Multi-detector Volumetric CT Scanning
Pulmonary Emphysema
Pulmonary Fibrosis
Radiographic Image Interpretation, Computer-Assisted
Radiography, Thoracic
Tomography, X-Ray Computed
Total Lung Capacity

Source:
Acad Radiol. 23(3):304-314.
Pubmed ID:
26776294
Pubmed Central ID:
PMC4744594
Document Type:
Journal Article ;
Funding:
R01 HL089897/HL/NHLBI NIH HHS/United States ; T420H008491/PHS HHS/United States ; S10 OD018526/OD/NIH HHS/United States ; R01 HL112986/HL/NHLBI NIH HHS/United States ; P30 ES005605/ES/NIEHS NIH HHS/United States ; ... More +
R01 HL089897/HL/NHLBI NIH HHS/United States ; T420H008491/PHS HHS/United States ; S10 OD018526/OD/NIH HHS/United States ; R01 HL112986/HL/NHLBI NIH HHS/United States ; P30 ES005605/ES/NIEHS NIH HHS/United States ; K23 HL114640/HL/NHLBI NIH HHS/United States ; 01HL112986/HL/NHLBI NIH HHS/United States ; U01 HL114494/HL/NHLBI NIH HHS/United States ; T42 OH008491/OH/NIOSH CDC HHS/United States ; P30 ES05605/ES/NIEHS NIH HHS/United States ; P30 DK054759/DK/NIDDK NIH HHS/United States ; Less -
Collection(s):
CDC Public Access
Main Document Checksum:
[+]
urn:sha256:22b5f7b2ee6844e4f7395a63f3eafa11a3e72c1323c383d8fc5b2c49ba85db44
File Type:

Supporting Files

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  	NIHMS748025-supplement-01.pdf	pdf

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