TY - JOUR
T1 - Differences in Texture Analysis Parameters Between Active Alveolitis and Lung Fibrosis in Chest CT of Patients with Systemic Sclerosis
T2 - A Feasibility Study
AU - Kloth, Christopher
AU - Blum, Anya C.
AU - Thaiss, Wolfgang M.
AU - Preibsch, Heike
AU - Ditt, Hendrik
AU - Grimmer, Rainer
AU - Fritz, Jan
AU - Nikolaou, Konstantin
AU - Bösmüller, Hans
AU - Horger, Marius
N1 - Publisher Copyright:
© 2017 The Association of University Radiologists
PY - 2017/12
Y1 - 2017/12
N2 - Rationale and Objectives This study aimed to determine the diagnostic aid of computed tomography (CT) features for the differentiation of active alveolitis and fibrosis using a CT texture analysis (CTTA) prototype and CT densitometry in patients with systemic sclerosis (SSc) using ancillary high-resolution computed tomography (HRCT) features and their longitudinal course as standard of reference. Materials and Methods We retrospectively analyzed thin-slice noncontrast chest CT image data of 43 patients with SSc (18 men, mean age 51.55 ± 15.52 years; range 23–71 years). All of them had repeated noncontrast enhanced HRCT of the lung. Classification into active alveolitis or fibrosis was done on HRCT based on classical HRCT findings (active alveolitis [19; 44.2%] and fibrosis [24; 55.8%]) and their course at midterm. Results were compared to pulmonary functional tests and were followed up by CT. Ground glass opacity was considered suggestive of alveolitis, whereas coarse reticulation with parenchymal distortion, traction bronchiectasis, and honeycombing were assigned to fibrosis. Results Statistically significant differences in CTTA were found for first-order textural features (mean intensity, average, deviation, skewness) and second-order statistics (entropy of co-occurrence matrix, mean number of nonuniformity (NGLDM), entropy of NGLDM, entropy of heterogeneity, intensity, and average). Cut-off value for the prediction of fibrosis at baseline was significant for entropy of intensity (P value <.001) and for mean deviation (P value <.001), and for prediction of alveolitis was significant for uniformity of intensity (P value <.001) and for NGLDM (P value <.001). At pulmonary functional tests, forced expiratory volume in 1 second and single-breath diffusion capacity for carbon monoxide were significantly lower in fibrosis than in alveolitis 2.03 ± 0.78 vs. 2.61 ± 0.83, P <.016 and 4.51 ± 1.61 vs. 6.04 ± 1.75, P <.009, respectively. Differences in CT densitometry between alveolitis and fibrosis were not significant. Conclusions CTTA parameters are significantly different in active alveolitis vs. fibrosis in patients with SSc and may be helpful for differentiation of these two entities.
AB - Rationale and Objectives This study aimed to determine the diagnostic aid of computed tomography (CT) features for the differentiation of active alveolitis and fibrosis using a CT texture analysis (CTTA) prototype and CT densitometry in patients with systemic sclerosis (SSc) using ancillary high-resolution computed tomography (HRCT) features and their longitudinal course as standard of reference. Materials and Methods We retrospectively analyzed thin-slice noncontrast chest CT image data of 43 patients with SSc (18 men, mean age 51.55 ± 15.52 years; range 23–71 years). All of them had repeated noncontrast enhanced HRCT of the lung. Classification into active alveolitis or fibrosis was done on HRCT based on classical HRCT findings (active alveolitis [19; 44.2%] and fibrosis [24; 55.8%]) and their course at midterm. Results were compared to pulmonary functional tests and were followed up by CT. Ground glass opacity was considered suggestive of alveolitis, whereas coarse reticulation with parenchymal distortion, traction bronchiectasis, and honeycombing were assigned to fibrosis. Results Statistically significant differences in CTTA were found for first-order textural features (mean intensity, average, deviation, skewness) and second-order statistics (entropy of co-occurrence matrix, mean number of nonuniformity (NGLDM), entropy of NGLDM, entropy of heterogeneity, intensity, and average). Cut-off value for the prediction of fibrosis at baseline was significant for entropy of intensity (P value <.001) and for mean deviation (P value <.001), and for prediction of alveolitis was significant for uniformity of intensity (P value <.001) and for NGLDM (P value <.001). At pulmonary functional tests, forced expiratory volume in 1 second and single-breath diffusion capacity for carbon monoxide were significantly lower in fibrosis than in alveolitis 2.03 ± 0.78 vs. 2.61 ± 0.83, P <.016 and 4.51 ± 1.61 vs. 6.04 ± 1.75, P <.009, respectively. Differences in CT densitometry between alveolitis and fibrosis were not significant. Conclusions CTTA parameters are significantly different in active alveolitis vs. fibrosis in patients with SSc and may be helpful for differentiation of these two entities.
KW - CT scanning
KW - HRCT
KW - Texture analysis
KW - active alveolitis
KW - computed tomography densitometry
KW - computer-assisted image interpretation
KW - lung fibrosis
KW - pulmonary function tests
KW - radiology
KW - systemic sclerosis
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U2 - 10.1016/j.acra.2017.07.002
DO - 10.1016/j.acra.2017.07.002
M3 - Article
C2 - 28807589
AN - SCOPUS:85028337265
SN - 1076-6332
VL - 24
SP - 1596
EP - 1603
JO - Academic Radiology
JF - Academic Radiology
IS - 12
ER -