Clinical spectrum and prognostic factors of possible UIP pattern on high-resolution CT in patients who underwent surgical lung biopsy.

Few studies have reported the diagnostic variability in patients with a possible usual interstitial pneumonia (UIP) pattern on high-resolution CT (HRCT) who underwent surgical lung biopsy (SLB), and the prognostic factors for these patients have not been fully evaluated. We retrospectively investiga...

Full description

Bibliographic Details
Main Authors: Yasuhiro Kondoh, Hiroyuki Taniguchi, Kensuke Kataoka, Taiki Furukawa, Ayumi Shintani, Tomoyuki Fujisawa, Takafumi Suda, Machiko Arita, Tomohisa Baba, Kazuya Ichikado, Yoshikazu Inoue, Kazuma Kishi, Tomoo Kishaba, Osamu Nishiyama, Takashi Ogura, Keisuke Tomii, Sakae Homma
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2018-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5873997?pdf=render
_version_ 1819141934689550336
author Yasuhiro Kondoh
Hiroyuki Taniguchi
Kensuke Kataoka
Taiki Furukawa
Ayumi Shintani
Tomoyuki Fujisawa
Takafumi Suda
Machiko Arita
Tomohisa Baba
Kazuya Ichikado
Yoshikazu Inoue
Kazuma Kishi
Tomoo Kishaba
Osamu Nishiyama
Takashi Ogura
Keisuke Tomii
Sakae Homma
author_facet Yasuhiro Kondoh
Hiroyuki Taniguchi
Kensuke Kataoka
Taiki Furukawa
Ayumi Shintani
Tomoyuki Fujisawa
Takafumi Suda
Machiko Arita
Tomohisa Baba
Kazuya Ichikado
Yoshikazu Inoue
Kazuma Kishi
Tomoo Kishaba
Osamu Nishiyama
Takashi Ogura
Keisuke Tomii
Sakae Homma
author_sort Yasuhiro Kondoh
collection DOAJ
description Few studies have reported the diagnostic variability in patients with a possible usual interstitial pneumonia (UIP) pattern on high-resolution CT (HRCT) who underwent surgical lung biopsy (SLB), and the prognostic factors for these patients have not been fully evaluated. We retrospectively investigated the frequency of idiopathic pulmonary fibrosis (IPF) and prognostic factors in patients with possible UIP pattern on HRCT.Consecutive patients who had a possible UIP pattern on HRCT, underwent SLB, and had a diagnosis of IIPs before SLB were retrospectively recruited from 10 hospitals. Diagnoses were made based on multidisciplinary discussion using the criteria for current IPF guidelines and multidisciplinary classification for IIPs in each hospital.179 patients who underwent SLB were enrolled. The diagnoses were IPF in 91 patients (51%), unclassifiable IIPs in 47 (26%), idiopathic NSIP in 18 (10%), and chronic hypersensitivity pneumonia in 17 (9%). One-year FVC changes showed significant differences between IPF and non-IPF (-138.6 mL versus 18.2 mL, p = 0.014). Patients with IPF had a worse mortality than those with non-IPF (Logrank test, p = 0.025). Multivariable Cox regression analysis demonstrated that diagnoses of IPF (HR, 2.961; 95% CI, 1.183-7.410; p = 0.02), high modified MRC score (HR, 1.587; 95% CI, 1.003-2.510; p = 0.049), and low %FVC (HR, 0.972; 95% CI, 0.953-0.992; p = 0.005).About a half of patients with a possible UIP pattern on HRCT had diagnoses other than IPF, and patients with IPF had a worse mortality than those with an alternative diagnosis. We reaffirmed that multidisciplinary discussion is crucial in patients with possible UIP pattern on HRCT.
first_indexed 2024-12-22T12:02:20Z
format Article
id doaj.art-5c344eb704ca4bce80cccbc1f47cfa2e
institution Directory Open Access Journal
issn 1932-6203
language English
last_indexed 2024-12-22T12:02:20Z
publishDate 2018-01-01
publisher Public Library of Science (PLoS)
record_format Article
series PLoS ONE
spelling doaj.art-5c344eb704ca4bce80cccbc1f47cfa2e2022-12-21T18:26:33ZengPublic Library of Science (PLoS)PLoS ONE1932-62032018-01-01133e019360810.1371/journal.pone.0193608Clinical spectrum and prognostic factors of possible UIP pattern on high-resolution CT in patients who underwent surgical lung biopsy.Yasuhiro KondohHiroyuki TaniguchiKensuke KataokaTaiki FurukawaAyumi ShintaniTomoyuki FujisawaTakafumi SudaMachiko AritaTomohisa BabaKazuya IchikadoYoshikazu InoueKazuma KishiTomoo KishabaOsamu NishiyamaTakashi OguraKeisuke TomiiSakae HommaFew studies have reported the diagnostic variability in patients with a possible usual interstitial pneumonia (UIP) pattern on high-resolution CT (HRCT) who underwent surgical lung biopsy (SLB), and the prognostic factors for these patients have not been fully evaluated. We retrospectively investigated the frequency of idiopathic pulmonary fibrosis (IPF) and prognostic factors in patients with possible UIP pattern on HRCT.Consecutive patients who had a possible UIP pattern on HRCT, underwent SLB, and had a diagnosis of IIPs before SLB were retrospectively recruited from 10 hospitals. Diagnoses were made based on multidisciplinary discussion using the criteria for current IPF guidelines and multidisciplinary classification for IIPs in each hospital.179 patients who underwent SLB were enrolled. The diagnoses were IPF in 91 patients (51%), unclassifiable IIPs in 47 (26%), idiopathic NSIP in 18 (10%), and chronic hypersensitivity pneumonia in 17 (9%). One-year FVC changes showed significant differences between IPF and non-IPF (-138.6 mL versus 18.2 mL, p = 0.014). Patients with IPF had a worse mortality than those with non-IPF (Logrank test, p = 0.025). Multivariable Cox regression analysis demonstrated that diagnoses of IPF (HR, 2.961; 95% CI, 1.183-7.410; p = 0.02), high modified MRC score (HR, 1.587; 95% CI, 1.003-2.510; p = 0.049), and low %FVC (HR, 0.972; 95% CI, 0.953-0.992; p = 0.005).About a half of patients with a possible UIP pattern on HRCT had diagnoses other than IPF, and patients with IPF had a worse mortality than those with an alternative diagnosis. We reaffirmed that multidisciplinary discussion is crucial in patients with possible UIP pattern on HRCT.http://europepmc.org/articles/PMC5873997?pdf=render
spellingShingle Yasuhiro Kondoh
Hiroyuki Taniguchi
Kensuke Kataoka
Taiki Furukawa
Ayumi Shintani
Tomoyuki Fujisawa
Takafumi Suda
Machiko Arita
Tomohisa Baba
Kazuya Ichikado
Yoshikazu Inoue
Kazuma Kishi
Tomoo Kishaba
Osamu Nishiyama
Takashi Ogura
Keisuke Tomii
Sakae Homma
Clinical spectrum and prognostic factors of possible UIP pattern on high-resolution CT in patients who underwent surgical lung biopsy.
PLoS ONE
title Clinical spectrum and prognostic factors of possible UIP pattern on high-resolution CT in patients who underwent surgical lung biopsy.
title_full Clinical spectrum and prognostic factors of possible UIP pattern on high-resolution CT in patients who underwent surgical lung biopsy.
title_fullStr Clinical spectrum and prognostic factors of possible UIP pattern on high-resolution CT in patients who underwent surgical lung biopsy.
title_full_unstemmed Clinical spectrum and prognostic factors of possible UIP pattern on high-resolution CT in patients who underwent surgical lung biopsy.
title_short Clinical spectrum and prognostic factors of possible UIP pattern on high-resolution CT in patients who underwent surgical lung biopsy.
title_sort clinical spectrum and prognostic factors of possible uip pattern on high resolution ct in patients who underwent surgical lung biopsy
url http://europepmc.org/articles/PMC5873997?pdf=render
work_keys_str_mv AT yasuhirokondoh clinicalspectrumandprognosticfactorsofpossibleuippatternonhighresolutionctinpatientswhounderwentsurgicallungbiopsy
AT hiroyukitaniguchi clinicalspectrumandprognosticfactorsofpossibleuippatternonhighresolutionctinpatientswhounderwentsurgicallungbiopsy
AT kensukekataoka clinicalspectrumandprognosticfactorsofpossibleuippatternonhighresolutionctinpatientswhounderwentsurgicallungbiopsy
AT taikifurukawa clinicalspectrumandprognosticfactorsofpossibleuippatternonhighresolutionctinpatientswhounderwentsurgicallungbiopsy
AT ayumishintani clinicalspectrumandprognosticfactorsofpossibleuippatternonhighresolutionctinpatientswhounderwentsurgicallungbiopsy
AT tomoyukifujisawa clinicalspectrumandprognosticfactorsofpossibleuippatternonhighresolutionctinpatientswhounderwentsurgicallungbiopsy
AT takafumisuda clinicalspectrumandprognosticfactorsofpossibleuippatternonhighresolutionctinpatientswhounderwentsurgicallungbiopsy
AT machikoarita clinicalspectrumandprognosticfactorsofpossibleuippatternonhighresolutionctinpatientswhounderwentsurgicallungbiopsy
AT tomohisababa clinicalspectrumandprognosticfactorsofpossibleuippatternonhighresolutionctinpatientswhounderwentsurgicallungbiopsy
AT kazuyaichikado clinicalspectrumandprognosticfactorsofpossibleuippatternonhighresolutionctinpatientswhounderwentsurgicallungbiopsy
AT yoshikazuinoue clinicalspectrumandprognosticfactorsofpossibleuippatternonhighresolutionctinpatientswhounderwentsurgicallungbiopsy
AT kazumakishi clinicalspectrumandprognosticfactorsofpossibleuippatternonhighresolutionctinpatientswhounderwentsurgicallungbiopsy
AT tomookishaba clinicalspectrumandprognosticfactorsofpossibleuippatternonhighresolutionctinpatientswhounderwentsurgicallungbiopsy
AT osamunishiyama clinicalspectrumandprognosticfactorsofpossibleuippatternonhighresolutionctinpatientswhounderwentsurgicallungbiopsy
AT takashiogura clinicalspectrumandprognosticfactorsofpossibleuippatternonhighresolutionctinpatientswhounderwentsurgicallungbiopsy
AT keisuketomii clinicalspectrumandprognosticfactorsofpossibleuippatternonhighresolutionctinpatientswhounderwentsurgicallungbiopsy
AT sakaehomma clinicalspectrumandprognosticfactorsofpossibleuippatternonhighresolutionctinpatientswhounderwentsurgicallungbiopsy