Literature DB >> 24927326

Idiopathic pulmonary fibrosis: CT and risk of death.

Brett Ley1, Brett M Elicker, Thomas E Hartman, Christopher J Ryerson, Eric Vittinghoff, Jay H Ryu, Joyce S Lee, Kirk D Jones, Luca Richeldi, Talmadge E King, Harold R Collard.   

Abstract

PURPOSE: To investigate the prognostic value of quantitative computed tomographic (CT) scoring for the extent of fibrosis or emphysema in the context of a clinical model that includes the gender, age, and physiology ( GAP gender, age, and physiology model) of the patient.
MATERIALS AND METHODS: Study cohorts were approved by local institutional review boards, and all patients provided written consent. This was a retrospective cohort study that included 348 patients (246 men, 102 women; mean age, 69 years ± 9) with idiopathic pulmonary fibrosis from two institutions. Fibrosis and emphysema visual scores were independently determined by two radiologists. Models were based on competing risks regression for death and were evaluated by using the C index and reclassification improvement.
RESULTS: The CT- GAP gender, age, and physiology model (a modification of the original GAP gender, age, and physiology model that replaces diffusion capacity of carbon monoxide with CT fibrosis score) had accuracy comparable to that of the original GAP gender, age, and physiology model, with a C index of 70.3 (95% confidence interval: 66.4, 74.0); difference in C index compared with the GAP gender, age, and physiology model of -0.4 (95% confidence interval: -2.2, 3.4). The performance of the original GAP gender, age, and physiology model did not change significantly with the simple addition of fibrosis score, with a change in C index of 0.0 (95% confidence interval: -1.8, 0.5) or of emphysema score, with a change in C index of 0.0 [95% confidence interval: -1.3, 0.4]).
CONCLUSION: CT fibrosis score can replace diffusion capacity of carbon monoxide test results in a modified GAP gender, age, and physiology model (the CT- GAP gender, age, and physiology model) with comparable performance. This may be a useful alternative model in situations where CT scoring is more reliable and available than diffusion capacity of carbon monoxide.

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Year:  2014        PMID: 24927326      PMCID: PMC4334234          DOI: 10.1148/radiol.14130216

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  29 in total

Review 1.  American Thoracic Society. Idiopathic pulmonary fibrosis: diagnosis and treatment. International consensus statement. American Thoracic Society (ATS), and the European Respiratory Society (ERS).

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

2.  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

3.  Pulmonary function in idiopathic pulmonary fibrosis and referral for lung transplantation.

Authors:  N Mogulkoc; M H Brutsche; P W Bishop; S M Greaves; A W Horrocks; J J Egan
Journal:  Am J Respir Crit Care Med       Date:  2001-07-01       Impact factor: 21.405

4.  Ascertainment of individual risk of mortality for patients with idiopathic pulmonary fibrosis.

Authors:  Roland M du Bois; Derek Weycker; Carlo Albera; Williamson Z Bradford; Ulrich Costabel; Alex Kartashov; Lisa Lancaster; Paul W Noble; Ganesh Raghu; Steven A Sahn; Javier Szwarcberg; Michiel Thomeer; Dominique Valeyre; Talmadge E King
Journal:  Am J Respir Crit Care Med       Date:  2011-08-15       Impact factor: 21.405

Review 5.  Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors.

Authors:  F E Harrell; K L Lee; D B Mark
Journal:  Stat Med       Date:  1996-02-28       Impact factor: 2.373

6.  Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers.

Authors:  Michael J Pencina; Ralph B D'Agostino; Ewout W Steyerberg
Journal:  Stat Med       Date:  2010-11-05       Impact factor: 2.373

7.  Assessing the performance of prediction models: a framework for traditional and novel measures.

Authors:  Ewout W Steyerberg; Andrew J Vickers; Nancy R Cook; Thomas Gerds; Mithat Gonen; Nancy Obuchowski; Michael J Pencina; Michael W Kattan
Journal:  Epidemiology       Date:  2010-01       Impact factor: 4.822

8.  Idiopathic pulmonary fibrosis and emphysema: decreased survival associated with severe pulmonary arterial hypertension.

Authors:  Mayra Mejía; Guillermo Carrillo; Jorge Rojas-Serrano; Andrea Estrada; Teresa Suárez; Delfino Alonso; Emilio Barrientos; Miguel Gaxiola; Carmen Navarro; Moisés Selman
Journal:  Chest       Date:  2009-02-18       Impact factor: 9.410

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

10.  A multidimensional index and staging system for idiopathic pulmonary fibrosis.

Authors:  Brett Ley; Christopher J Ryerson; Eric Vittinghoff; Jay H Ryu; Sara Tomassetti; Joyce S Lee; Venerino Poletti; Matteo Buccioli; Brett M Elicker; Kirk D Jones; Talmadge E King; Harold R Collard
Journal:  Ann Intern Med       Date:  2012-05-15       Impact factor: 25.391

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  35 in total

1.  Low morphometric complexity of emphysematous lesions predicts survival in chronic obstructive pulmonary disease patients.

Authors:  Jeongeun Hwang; Yeon-Mok Oh; Minho Lee; Seunghyun Choi; Joon Beom Seo; Sang Min Lee; Namkug Kim
Journal:  Eur Radiol       Date:  2018-06-29       Impact factor: 5.315

2.  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

3.  Prediction of survival by texture-based automated quantitative assessment of regional disease patterns on CT in idiopathic pulmonary fibrosis.

Authors:  Sang Min Lee; Joon Beom Seo; Sang Young Oh; Tae Hoon Kim; Jin Woo Song; Sang Min Lee; Namkug Kim
Journal:  Eur Radiol       Date:  2017-09-19       Impact factor: 5.315

4.  129Xenon Gas Exchange Magnetic Resonance Imaging as a Potential Prognostic Marker for Progression of Idiopathic Pulmonary Fibrosis.

Authors:  Leith J Rankine; Ziyi Wang; Jennifer M Wang; Mu He; H Page McAdams; Joseph Mammarappallil; Craig R Rackley; Bastiaan Driehuys; Robert M Tighe
Journal:  Ann Am Thorac Soc       Date:  2020-01

5.  Idiopathic Pulmonary Fibrosis: The Association between the Adaptive Multiple Features Method and Fibrosis Outcomes.

Authors:  Margaret L Salisbury; David A Lynch; Edwin J R van Beek; Ella A Kazerooni; Junfeng Guo; Meng Xia; Susan Murray; Kevin J Anstrom; Eric Yow; Fernando J Martinez; Eric A Hoffman; Kevin R Flaherty
Journal:  Am J Respir Crit Care Med       Date:  2017-04-01       Impact factor: 21.405

6.  Using hyperpolarized 129Xe MRI to quantify regional gas transfer in idiopathic pulmonary fibrosis.

Authors:  Jennifer M Wang; Scott H Robertson; Ziyi Wang; Mu He; Rohan S Virgincar; Geoffry M Schrank; Rose Marie Smigla; Thomas G O'Riordan; John Sundy; Lukas Ebner; Craig R Rackley; Page McAdams; Bastiaan Driehuys
Journal:  Thorax       Date:  2017-08-31       Impact factor: 9.139

7.  Multicenter study of quantitative computed tomography analysis using a computer-aided three-dimensional system in patients with idiopathic pulmonary fibrosis.

Authors:  Tae Iwasawa; Tetsu Kanauchi; Toshiko Hoshi; Takashi Ogura; Tomohisa Baba; Toshiyuki Gotoh; Mari S Oba
Journal:  Jpn J Radiol       Date:  2015-11-06       Impact factor: 2.374

8.  Idiopathic Pulmonary Fibrosis: Data-driven Textural Analysis of Extent of Fibrosis at Baseline and 15-Month Follow-up.

Authors:  Stephen M Humphries; Kunihiro Yagihashi; Jason Huckleberry; Byung-Hak Rho; Joyce D Schroeder; Matthew Strand; Marvin I Schwarz; Kevin R Flaherty; Ella A Kazerooni; Edwin J R van Beek; David A Lynch
Journal:  Radiology       Date:  2017-05-10       Impact factor: 11.105

9.  Radiomics-based assessment of idiopathic pulmonary fibrosis is associated with genetic mutations and patient survival.

Authors:  Jorie D Budzikowski; Joseph J Foy; Ahmed A Rashid; Jonathan H Chung; Imre Noth; Samuel G Armato
Journal:  J Med Imaging (Bellingham)       Date:  2021-04-19

10.  Quantitative CT assessment of lung injury after successful cardiopulmonary resuscitation in a porcine cardiac arrest model of different downtimes.

Authors:  Zhifeng Liu; Qingyu Liu; Gongfa Wu; Haigang Li; Yue Wang; Rui Chen; Cai Wen; Qin Ling; Zhengfei Yang; Wanchun Tang
Journal:  Quant Imaging Med Surg       Date:  2018-10
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