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1 GGO (57 [90%] patients) and reticulation (62 [98%] patie
2 GGO onset was earlier and resolved later than consolidat
3 GGO was more frequently observed in patients with lympha
4 GGOs and consolidations corresponded with mixed histopat
5 GGOs and consolidations represented the main baseline lu
13 Sensitivity for detecting small nodules and GGOs on MR is poor; CT scan remains the imaging modality
14 mean percentage of total lung classified as GGO was 13.2% and 28.7%, respectively, and was higher th
16 ulmonologists labeled regions of the lung as GGOs, and the adaptive multiple feature method (AMFM) tr
18 earance of COVID-19 pneumonia with bilateral GGO, in peripheral distribution and lower lung zone pred
19 esentations of COP on HRCT include bilateral GGOs and consolidations in the lower lobes together with
22 n %GGO(AMFM) and 1-year FEV(1) decline, but %GGO(AMFM) was associated with exacerbations and all-caus
24 ed the potential to accurately differentiate GGOs due to COVID-19 pneumonia from those due to other a
25 ased machine learning method to discriminate GGOs due to COVID-19 from those due to other acute lung
33 , 6.9 per doubling; P = .001) and increasing GGO attenuation (OR, 3.2; 95% CI: 1.3, 8.3 per standard
35 9 pneumonia were bilateral lung involvement, GGO or mixed (GGO pulse consolidation or reticular) patt
36 s (two of 12, 17%; P = .02; PPV, 85%); mixed GGO, a subtype with GGO in the periphery and a high-atte
37 ules with pure GGO (17 vs 12 lesions), mixed GGO (27 vs 29 lesions), or solid opacity (15 vs 122 lesi
39 ent, pure ground-glass opacity (GGO), mixed (GGO pulse consolidation or reticular), consolidation, re
40 re bilateral lung involvement, GGO or mixed (GGO pulse consolidation or reticular) patterns, thickene
41 th lymphatic PB predominantly had multifocal GGO with or without a "crazy paving" pattern; identifica
43 hird (n = 9) showed additional small nodular GGOs limited to a single lobe 3-5 days after an initial
44 ver operating characteristic curve (AUCs) of GGO unadjusted and adjusted for demographics were 0.79 a
45 ty (GGO), consolidation opacity, and both of GGO and consolidation were also surveyed based on RT-PCR
48 a "crazy paving" pattern; identification of GGO should prompt lymphatic workup in this frequently mi
53 Objectives: To assess the association of GGOs with white blood cells (WBCs) and progression of qu
55 tent CT changes to include the resolution of GGOs seen in the early recovery phase and the persistenc
56 ression models to assess the association of %GGO(AMFM) with WBCs, changes in percentage emphysema, an
57 CT observations were ground-glass opacities (GGO) (59/70 lobes examined) and areas of consolidation (
58 68-0.82; p < 0.001), ground-glass opacities (GGO) (73%; 95% CI: 0.67-0.78; p < 0.001), and peripheral
59 ritical group, mixed ground-glass opacities (GGO) and consolidation lesion, pleural effusion lesion,
60 mean attenuation of ground glass opacities (GGO) and consolidation were quantified from CT using sem
61 stent indications of ground-glass opacities (GGO), consolidation, and interlobular septal thickening.
67 ning (ILST;100%) and ground glass opacities (GGOs; 91.7%), resulting in crazy-paving pattern (83%).
69 ndings mainly included ground glass opacity (GGO) (93.3%), inter-lobular septal thickening (66.7%), c
70 rmalities that include ground-glass opacity (GGO) and subpleural bands with concomitant pulmonary fun
71 ng to measure regional ground-glass opacity (GGO) and using inspiratory and expiratory image-matching
72 y high (658/987), with ground-glass opacity (GGO) being the most prevalent feature (52.5%; 95% CI: 40
73 resentation of COP was ground-glass opacity (GGO) in 83.9% of cases, followed by consolidation in 71%
74 location and extent of ground-glass opacity (GGO) was compared with symptoms and lymphatic imaging.
75 bnormal chest CT scan, ground-glass opacity (GGO), consolidation opacity, and both of GGO and consoli
76 features analyzed were ground-glass opacity (GGO), consolidation, pleuroparenchymal band, linear atel
78 lung involvement, pure ground-glass opacity (GGO), mixed (GGO pulse consolidation or reticular), cons
79 irspace consolidation, ground-glass opacity (GGO), reticulation, honeycombing, nodules, bronchiectasi
80 and opacity subtypes (ground glass opacity [GGO] and consolidation) were extracted using deep learni
82 terstitial pneumonia CT patterns overlapped; GGO was more extensive in patients with nonspecific inte
83 30 patients (nCOVID) showing (a) predominant GGOs pattern on HRCT performed between August 2019 and A
84 CT at hospital admission and (b) predominant GGOs pattern on HRCT; a second set of 30 patients (nCOVI
85 onsolidation, pleural effusion, lack of pure GGO, more diffuse opacity, involvement of more than 2 lo
86 of malignant versus benign nodules with pure GGO (17 vs 12 lesions), mixed GGO (27 vs 29 lesions), or
90 ession confirmed this result by showing that GGO was a significant predictor of lymphatic PB (odds ra
92 ants, we found similar results, except that %GGO(AMFM) was associated with progression to COPD at 1-y
94 = .02; PPV, 85%); mixed GGO, a subtype with GGO in the periphery and a high-attenuation zone in the