Literature DB >> 25743239

Idiopathic interstitial pneumonias: do HRCT criteria established by ATS/ERS/JRS/ALAT in 2011 predict disease progression and prognosis?

Chiara Romei1, Laura Tavanti2, Paola Sbragia3, Annalisa De Liperi4, Laura Carrozzi5, Ferruccio Aquilini6, Antonio Palla7, Fabio Falaschi8.   

Abstract

PURPOSE: The objective of the study was to determine whether HRCT criteria for Usual Interstitial Pneumonia (UIP), possible UIP or no-UIP pattern recommended by ATS/ERS/JRS/ALAT guidelines 2011 are able to predict progression and prognosis of the disease in a group of patients with fibrotic idiopathic interstitial pneumonia (IIP).
MATERIALS AND METHODS: This was a retrospective study conducted with the approval of the ethics committee. Two radiologists at baseline HRCT distributed 70 patients with fibrotic IIP into three groups on the basis of the 2011 guidelines: UIP pattern (group 1), possible UIP pattern (group 2), inconsistent with UIP pattern (group 3). The different abnormalities (honeycombing, reticulation, ground-glass and traction bronchiectasis), fibrotic score (reticulation + honeycombing) and overall CT score were visually scored at baseline and during the follow-up (total HRCT 178). The mortality rate of the three groups was compared. The baseline abnormalities were then correlated with the mortality rate in the UIP group.
RESULTS: The inter-observer agreement in the classification of the abnormalities in the three groups was almost perfect (k = 0.92). After consensus, 44 patients were classified into group 1, 13 into group 2 and 13 into group 3. During a mean follow-up of 1386 days, overall CT score, fibrotic score, honeycombing and traction bronchiectasis showed a significant progression in group 1. The mortality rate was significantly higher in group 1 (18 deaths) versus group 2 and 3 (1 death each). In group 1, baseline honeycombing rate higher than 25 %, fibrotic score higher than 30, overall CT score greater than 45 and traction bronchiectasis in more than 4 lobes defined the worst prognosis.
CONCLUSION: HRCT classification based on 2011 guidelines showed high accuracy in stratifying fibrotic changes because in our study UIP, possible UIP and inconsistent with UIP pattern seem to be correlated with different disease progression and mortality rate.

Entities:  

Keywords:  Idiopathic interstitial pneumonia; Idiopathic pulmonary fibrosis (IPF); Prognosis; Usual interstitial pneumonia (UIP)

Mesh:

Year:  2015        PMID: 25743239     DOI: 10.1007/s11547-015-0526-0

Source DB:  PubMed          Journal:  Radiol Med        ISSN: 0033-8362            Impact factor:   3.469


  30 in total

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Journal:  Am J Respir Crit Care Med       Date:  2000-02       Impact factor: 21.405

2.  Predicting survival in newly diagnosed idiopathic pulmonary fibrosis: a 3-year prospective study.

Authors:  Marco Mura; Maria A Porretta; Elena Bargagli; Gianluigi Sergiacomi; Maurizio Zompatori; Nicola Sverzellati; Amedeo Taglieri; Fabrizio Mezzasalma; Paola Rottoli; Cesare Saltini; Paola Rogliani
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3.  Collaborative radiologic and histopathologic assessment of fibrotic lung disease.

Authors:  Jeffrey R Galvin; Aletta Ann Frazier; Teri J Franks
Journal:  Radiology       Date:  2010-06       Impact factor: 11.105

4.  High-resolution computed tomography in idiopathic pulmonary fibrosis: diagnosis and prognosis.

Authors:  David A Lynch; J David Godwin; Sharon Safrin; Karen M Starko; Phil Hormel; Kevin K Brown; Ganesh Raghu; Talmadge E King; Williamson Z Bradford; David A Schwartz; W Richard Webb
Journal:  Am J Respir Crit Care Med       Date:  2005-05-13       Impact factor: 21.405

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Authors:  M Thomeer; M Demedts; J Behr; R Buhl; U Costabel; C D R Flower; J Verschakelen; F Laurent; A G Nicholson; E K Verbeken; F Capron; M Sardina; G Corvasce; I Lankhorst
Journal:  Eur Respir J       Date:  2007-12-05       Impact factor: 16.671

Review 6.  High-resolution computed tomography in the diagnosis and follow-up of idiopathic pulmonary fibrosis.

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Journal:  Radiol Med       Date:  2010-01-15       Impact factor: 3.469

7.  Prognostic implications of physiologic and radiographic changes in idiopathic interstitial pneumonia.

Authors:  Kevin R Flaherty; Jeanette A Mumford; Susan Murray; Ella A Kazerooni; Barry H Gross; Thomas V Colby; William D Travis; Andrew Flint; Galen B Toews; Joseph P Lynch; Fernando J Martinez
Journal:  Am J Respir Crit Care Med       Date:  2003-05-28       Impact factor: 21.405

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Authors:  Kyung Min Shin; Kyung Soo Lee; Man Pyo Chung; Joungho Han; Young A Bae; Tae Sung Kim; Myung Jin Chung
Journal:  Radiology       Date:  2008-08-05       Impact factor: 11.105

9.  Computed tomography findings in pathological usual interstitial pneumonia: relationship to survival.

Authors:  Hiromitsu Sumikawa; Takeshi Johkoh; Thomas V Colby; Kazuya Ichikado; Moritaka Suga; Hiroyuki Taniguchi; Yasuhiro Kondoh; Takashi Ogura; Hiroaki Arakawa; Kiminori Fujimoto; Atsuo Inoue; Naoki Mihara; Osamu Honda; Noriyuki Tomiyama; Hironobu Nakamura; Nestor L Müller
Journal:  Am J Respir Crit Care Med       Date:  2007-11-01       Impact factor: 21.405

Review 10.  Classification of diffuse lung diseases: why and how.

Authors:  David M Hansell
Journal:  Radiology       Date:  2013-09       Impact factor: 11.105

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1.  Possible UIP pattern on high-resolution computed tomography is associated with better survival than definite UIP in IPF patients.

Authors:  Margaret L Salisbury; Leslie B Tolle; Meng Xia; Susan Murray; Nabihah Tayob; Anoop M Nambiar; Shelley L Schmidt; Amir Lagstein; Jeffery L Myers; Barry H Gross; Ella A Kazerooni; Baskaran Sundaram; Aamer R Chughtai; Fernando J Martinez; Kevin R Flaherty
Journal:  Respir Med       Date:  2017-09-12       Impact factor: 3.415

2.  Predicting Outcome in Idiopathic Pulmonary Fibrosis: Addition of Fibrotic Score at Thin-Section CT of the Chest to Gender, Age, and Physiology Score Improves the Prediction Model.

Authors:  Anurag Chahal; Roozbeh Sharif; Jubal Watts; Joao de Andrade; Tracy Luckhardt; Young-Il Kim; Rekha Ramchandran; Sushilkumar Sonavane
Journal:  Radiol Cardiothorac Imaging       Date:  2019-06-27

3.  Serial decline in lung volume parameters on computed tomography (CT) predicts outcome in idiopathic pulmonary fibrosis (IPF).

Authors:  Hasti Robbie; Athol U Wells; Cheng Fang; Joseph Jacob; Simon L F Walsh; Arjun Nair; Rose Camoras; Sujal R Desai; Anand Devaraj
Journal:  Eur Radiol       Date:  2021-10-30       Impact factor: 5.315

4.  Interobserver variability in high-resolution CT of the lungs.

Authors:  Jonas Widell; Mats Lidén
Journal:  Eur J Radiol Open       Date:  2020-03-31

5.  Several specific high-resolution computed tomography patterns correlate with survival in patients with idiopathic pulmonary fibrosis.

Authors:  Minna E Mononen; Hannu-Pekka Kettunen; Sanna-Katja Suoranta; Miia S Kärkkäinen; Tuomas A Selander; Minna K Purokivi; Riitta L Kaarteenaho
Journal:  J Thorac Dis       Date:  2021-04       Impact factor: 2.895

6.  Automated Lung Segmentation on Chest Computed Tomography Images with Extensive Lung Parenchymal Abnormalities Using a Deep Neural Network.

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7.  Predicting survival of patients with idiopathic pulmonary fibrosis using GAP score: a nationwide cohort study.

Authors:  Sang Hoon Lee; Song Yee Kim; Dong Soon Kim; Young Whan Kim; Man Pyo Chung; Soo Taek Uh; Choon Sik Park; Sung Hwan Jeong; Yong Bum Park; Hong Lyeol Lee; Jong Wook Shin; Eun Joo Lee; Jin Hwa Lee; Yangin Jegal; Hyun Kyung Lee; Yong Hyun Kim; Jin Woo Song; Sung Woo Park; Moo Suk Park
Journal:  Respir Res       Date:  2016-10-18

Review 8.  Idiopathic Pulmonary Fibrosis: Diagnosis and Clinical Manifestations.

Authors:  Yutaro Nakamura; Takafumi Suda
Journal:  Clin Med Insights Circ Respir Pulm Med       Date:  2016-09-06

9.  Comparison of disease progression subgroups in idiopathic pulmonary fibrosis.

Authors:  Miia Kärkkäinen; Hannu-Pekka Kettunen; Hanna Nurmi; Tuomas Selander; Minna Purokivi; Riitta Kaarteenaho
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