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  1. Pubblicazioni

OP0063 QUANTITATIVE COMPUTED TOMOGRAPHY PREDICTS 10-YEAR MORTALITY IN INTERSTITIAL LUNG DISEASE RELATED TO SYSTEMIC SCLEROSI

Abstract
Data di Pubblicazione:
2020
Citazione:
OP0063 QUANTITATIVE COMPUTED TOMOGRAPHY PREDICTS 10-YEAR MORTALITY IN INTERSTITIAL LUNG DISEASE RELATED TO SYSTEMIC SCLEROSI / Ariani, A; Bravi, E; De Santis, M; Hax, V; Parisi, S; Lumetti, F; Girelli, F; Saracco, M; De Gennaro, F; Giollo, A; Abdel Jaber, M; Bozzao, F; Silva, M; Ditto, Mc; Lomater, C; Mozzani, F; Santilli, D; Di Donato, E; Becciolini, A; Pucciarini, F; Canziani, L; Bodini, Fc; Arrigoni, E; Bredemeier, M; Mendonça Da Silva Chakr, R; Spinella, A; Idolazzi, L; Bortolotti, R; Tomietto, P; Baratella, E; Tollot, S; Giuggioli, D.; Fischetti, F; Fusaro, E; Sverzellati, N; Scirè, Ca. - In: ANNALS OF THE RHEUMATIC DISEASES. THE EULAR JOURNAL. - ISSN 1792-328X. - 79:suppl 1(2020), pp. 42-42.
Abstract:
Background: Interstitial lung disease (ILD) is the main cause of death in Systemic Sclerosis (SSc). Chest CT is the gold standard in detecting ILD although it is not easy to understand its prognostic value. ILD qualitative assessment is almost worthless. Goh et al. semi quantitative score of ILD extent is related to mortality risk but it is burdened by relevant inter/intra-readers variability. An operator independent algorithm based on voxel-wise analysis proved to identify SSc patients with an increased risk of mortality according to prediction models. Objectives: To verify if quantitative analysis of chest CT (QCT) predict 10 years-mortality in SSc patients. Methods: SSc patients with availability of a chest CT were enrolled in 13 different centers. The CT voxel-wise analysis with a free software (www.horosproject.com) provided QCT indexes: kurtosis, skewness, mean lung attenuation and standard deviation. Patients …
Tipologia CRIS:
Abstract in Rivista
Elenco autori:
Ariani, A; Bravi, E; De Santis, M; Hax, V; Parisi, S; Lumetti, F; Girelli, F; Saracco, M; De Gennaro, F; Giollo, A; Abdel Jaber, M; Bozzao, F; Silva, M; Ditto, Mc; Lomater, C; Mozzani, F; Santilli, D; Di Donato, E; Becciolini, A; Pucciarini, F; Canziani, L; Bodini, Fc; Arrigoni, E; Bredemeier, M; Mendonça Da Silva Chakr, R; Spinella, A; Idolazzi, L; Bortolotti, R; Tomietto, P; Baratella, E; Tollot, S; Giuggioli, D.; Fischetti, F; Fusaro, E; Sverzellati, N; Scirè, Ca
Autori di Ateneo:
GIUGGIOLI DILIA
SPINELLA AMELIA
Link alla scheda completa:
https://iris.unimore.it/handle/11380/1253657
Link al Full Text:
https://iris.unimore.it//retrieve/handle/11380/1253657/364736/EULAR%202020%20ariani%20.pdf
Pubblicato in:
ANNALS OF THE RHEUMATIC DISEASES. THE EULAR JOURNAL
Journal
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