Literature DB >> 28350485

CT Findings, Radiologic-Pathologic Correlation, and Imaging Predictors of Survival for Patients With Interstitial Pneumonia With Autoimmune Features.

Jonathan H Chung1,2,3,4, Steven M Montner1,2,3,4, Ayodeji Adegunsoye1,2,3,4, Cathryn Lee1,2,3,4, Justin M Oldham1,2,3,4, Aliya N Husain1,2,3,4, Heber MacMahon1,2,3,4, Imre Noth1,2,3,4, Rekha Vij1,2,3,4, Mary E Strek1,2,3,4.   

Abstract

OBJECTIVE: The objective of this study is to determine the CT findings and patterns of interstitial pneumonia with autoimmune features (IPAF) and to assess whether imaging can predict survival for patients with IPAF.
MATERIALS AND METHODS: The study included 136 subjects who met the criteria for IPAF and had diagnostic-quality chest CT scans obtained from 2006 to 2015; a total of 74 of these subjects had pathologic samples available for review within 1 year of chest CT examination. CT findings and the presence of an usual interstitial pneumonitis (UIP) pattern of disease were assessed, as was the UIP pattern noted on pathologic analysis. Analysis of chest CT findings associated with survival was performed using standard univariate and multivariate Cox proportional hazards methods as well as the unadjusted log-rank test. Survival data were visually presented using the Kaplan-Meier survival curve estimator.
RESULTS: Most subjects with IPAF (57.4%; 78/136) had a high-confidence diagnosis of a UIP pattern on CT. Substantially fewer subjects (28.7%; 39/136) had a pattern that was inconsistent with UIP noted on CT. The presence of a UIP pattern on CT was associated with smoking (p < 0.01), male sex (p < 0.01), and older age (p < 0.001). Approximately one-fourth of the subjects had a nonspecific interstitial pneumonitis pattern on CT. Of interest, nearly one-tenth of the subjects had a CT pattern that was most consistent with hypersensitivity pneumonitis rather than the customary CT patterns ascribed to lung disease resulting from connective tissue disease. Most subjects with a possible UIP pattern on CT (83.3%) had UIP diagnosed on the basis of pathologic findings. Focused multivariate analysis showed that honeycombing on CT (hazard ratio, 2.17; 95% CI, 1.05-4.47) and pulmonary artery enlargement on CT (hazard ratio, 2.08; 95% CI, 1.02-4.20) were independent predictors of survival.
CONCLUSION: IPAF most often presents with a UIP pattern on CT and is associated with worse survival when concomitant honeycombing or pulmonary artery enlargement is present.

Entities:  

Keywords:  CT; connective tissue disease; interstitial pneumonia with autoimmune features; survival; usual interstitial pneumonitis

Mesh:

Year:  2017        PMID: 28350485      PMCID: PMC6536259          DOI: 10.2214/AJR.16.17121

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  12 in total

1.  Interstitial Pneumonia with Autoimmune Features: Overview of proposed criteria and recent cohort characterization.

Authors:  Cathryn T Lee; Justin M Oldham
Journal:  Clin Pulm Med       Date:  2017-09

2.  Phenotypic Clusters Predict Outcomes in a Longitudinal Interstitial Lung Disease Cohort.

Authors:  Ayodeji Adegunsoye; Justin M Oldham; Jonathan H Chung; Steven M Montner; Cathryn Lee; Leah J Witt; Danielle Stahlbaum; Rene S Bermea; Lena W Chen; Scully Hsu; Aliya N Husain; Imre Noth; Rekha Vij; Mary E Strek; Matthew Churpek
Journal:  Chest       Date:  2017-09-28       Impact factor: 9.410

Review 3.  Interstitial Pneumonia with Autoimmune Features.

Authors:  Bridget A Graney; Aryeh Fischer
Journal:  Ann Am Thorac Soc       Date:  2019-05

Review 4.  Interstitial Pneumonia With Autoimmune Features: An Emerging Challenge at the Intersection of Rheumatology and Pulmonology.

Authors:  Erin M Wilfong; Robert J Lentz; Adam Guttentag; James J Tolle; Joyce E Johnson; Jonathan A Kropski; Peggy L Kendall; Timothy S Blackwell; Leslie J Crofford
Journal:  Arthritis Rheumatol       Date:  2018-10-27       Impact factor: 10.995

5.  Interstitial pneumonia with autoimmune features: an additional risk factor for ARDS?

Authors:  Giacomo Grasselli; Beatrice Vergnano; Maria Rosa Pozzi; Vittoria Sala; Gabriele D'Andrea; Vittorio Scaravilli; Marco Mantero; Alberto Pesci; Antonio Pesenti
Journal:  Ann Intensive Care       Date:  2017-09-18       Impact factor: 6.925

6.  Automated CT Analysis of Major Forms of Interstitial Lung Disease.

Authors:  Marlee S Crews; Brian J Bartholmai; Ayodeji Adegunsoye; Justin M Oldham; Steven M Montner; Ronald A Karwoski; Aliya N Husain; Rekha Vij; Imre Noth; Mary E Strek; Jonathan H Chung
Journal:  J Clin Med       Date:  2020-11-23       Impact factor: 4.241

7.  Diagnosis of Idiopathic Pulmonary Fibrosis in a Possible Usual Interstitial Pneumonia Pattern: a meta-analysis.

Authors:  Heekyung Kim; Soon Ho Yoon; Hyunsook Hong; Seokyung Hahn; Jin Mo Goo
Journal:  Sci Rep       Date:  2018-10-26       Impact factor: 4.379

8.  Impact of a systematic evaluation of connective tissue disease on diagnosis approach in patients with interstitial lung diseases.

Authors:  Fernanda Hernandez-Gonzalez; Sergio Prieto-González; Pilar Brito-Zeron; Sandra Cuerpo; Marcelo Sanchez; Jose Ramirez; Carlos Agustí; Carmen María Lucena; Marina Paradela; Ignacio Grafia; Gerard Espinosa; Jacobo Sellares
Journal:  Medicine (Baltimore)       Date:  2020-01       Impact factor: 1.817

9.  Systematic review and meta-analysis of the prognosis and prognostic factors of interstitial pneumonia with autoimmune features.

Authors:  Hiroyuki Kamiya; Ogee Mer Panlaqui
Journal:  BMJ Open       Date:  2019-12-11       Impact factor: 2.692

Review 10.  Differential diagnoses of fibrosing lung diseases.

Authors:  Carolyn Horst; Bahareh Gholipour; Arjun Nair; Joseph Jacob
Journal:  BJR Open       Date:  2019-06-13
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