RATIONALE: Patients with a clinicopathological diagnosis of idiopathic pulmonary fibrosis (IPF) may have typical findings of usual interstitial pneumonia (UIP) on computed tomography (CT) or nonspecific or atypical findings, including those often seen in nonspecific interstitial pneumonia. OBJECTIVES: The aims of this study were to revisit the high-resolution CT findings of IPF and to clarify the correlation between the CT findings and mortality. METHODS: The study included 98 patients with a histologic diagnosis of UIP and a clinical diagnosis of IPF. Two observers evaluated the CT findings independently and classified each case into one of the following three categories: (1) definite UIP, (2) consistent with UIP, or (3) suggestive of alternative diagnosis. The correlation between the CT categories and mortality was evaluated using the Kaplan-Meier method and the log-rank test, as well as Cox proportional hazards regression models. MEASUREMENTS AND MAIN RESULTS: Thirty-three of the 98 CT scans were classified as definite UIP, 36 as consistent with UIP, 29 as suggestive of an alternative diagnosis. The mean survival was 45.7, 57.9, and 76.9 months, respectively. There was no significant difference in survival among the three categories (all P > 0.05). Traction bronchiectasis and fibrosis scores were significant predictors of outcome (hazard ratios: 1.30 and 1.10, respectively; 95% confidence intervals: 1.18-14.2 and 1.03-1.19, respectively). CONCLUSIONS: In patients with IPF and UIP pattern on the biopsy, the pattern of abnormality on thin-section CT, whether characteristic of UIP or suggestive of alternative diagnosis, does not influence prognosis. Prognosis is influenced by traction bronchiectasis and fibrosis scores.
RATIONALE: Patients with a clinicopathological diagnosis of idiopathic pulmonary fibrosis (IPF) may have typical findings of usual interstitial pneumonia (UIP) on computed tomography (CT) or nonspecific or atypical findings, including those often seen in nonspecific interstitial pneumonia. OBJECTIVES: The aims of this study were to revisit the high-resolution CT findings of IPF and to clarify the correlation between the CT findings and mortality. METHODS: The study included 98 patients with a histologic diagnosis of UIP and a clinical diagnosis of IPF. Two observers evaluated the CT findings independently and classified each case into one of the following three categories: (1) definite UIP, (2) consistent with UIP, or (3) suggestive of alternative diagnosis. The correlation between the CT categories and mortality was evaluated using the Kaplan-Meier method and the log-rank test, as well as Cox proportional hazards regression models. MEASUREMENTS AND MAIN RESULTS: Thirty-three of the 98 CT scans were classified as definite UIP, 36 as consistent with UIP, 29 as suggestive of an alternative diagnosis. The mean survival was 45.7, 57.9, and 76.9 months, respectively. There was no significant difference in survival among the three categories (all P > 0.05). Traction bronchiectasis and fibrosis scores were significant predictors of outcome (hazard ratios: 1.30 and 1.10, respectively; 95% confidence intervals: 1.18-14.2 and 1.03-1.19, respectively). CONCLUSIONS: In patients with IPF and UIP pattern on the biopsy, the pattern of abnormality on thin-section CT, whether characteristic of UIP or suggestive of alternative diagnosis, does not influence prognosis. Prognosis is influenced by traction bronchiectasis and fibrosis scores.
Authors: Robert Brownell; Teng Moua; Travis S Henry; Brett M Elicker; Darin White; Eric Vittinghoff; Kirk D Jones; Anatoly Urisman; Carlos Aravena; Kerri A Johannson; Jeffrey A Golden; Talmadge E King; Paul J Wolters; Harold R Collard; Brett Ley Journal: Thorax Date: 2017-01-12 Impact factor: 9.139
Authors: Ganesh Raghu; Harold R Collard; Jim J Egan; Fernando J Martinez; Juergen Behr; Kevin K Brown; Thomas V Colby; Jean-François Cordier; Kevin R Flaherty; Joseph A Lasky; David A Lynch; Jay H Ryu; Jeffrey J Swigris; Athol U Wells; Julio Ancochea; Demosthenes Bouros; Carlos Carvalho; Ulrich Costabel; Masahito Ebina; David M Hansell; Takeshi Johkoh; Dong Soon Kim; Talmadge E King; Yasuhiro Kondoh; Jeffrey Myers; Nestor L Müller; Andrew G Nicholson; Luca Richeldi; Moisés Selman; Rosalind F Dudden; Barbara S Griss; Shandra L Protzko; Holger J Schünemann Journal: Am J Respir Crit Care Med Date: 2011-03-15 Impact factor: 21.405
Authors: Margaret L Salisbury; Meng Xia; Susan Murray; Brian J Bartholmai; Ella A Kazerooni; Catherine A Meldrum; Fernando J Martinez; Kevin R Flaherty Journal: Respir Med Date: 2016-07-28 Impact factor: 3.415