Literature DB >> 24661246

Pathologically proved nonspecific interstitial pneumonia: CT pattern analysis as compared with usual interstitial pneumonia CT pattern.

Hiromitsu Sumikawa1, Takeshi Johkoh, Kiminori Fujimoto, Hiroaki Arakawa, Tomas V Colby, Junya Fukuoka, Hiroyuki Taniguchi, Yasuhiro Kondoh, Kensuke Kataoka, Takashi Ogura, Tomohisa Baba, Kazuya Ichikado, Tomoko Gyobu, Masahiro Yanagawa, Osamu Honda, Noriyuki Tomiyama.   

Abstract

PURPOSE: To assess the variability of computed tomography (CT) patterns in patients with pathologic nonspecific interstitial pneumonia (NSIP) and to evaluate correlation of CT patterns with new idiopathic pulmonary fibrosis (IPF) classification guidelines, including pathologic diagnosis and predicted mortality.
MATERIALS AND METHODS: The ethical review boards of the five institutions that contributed cases waived the need for informed consent for retrospective review of patient records and images. The study included 114 patients with (a) a pathologic diagnosis of idiopathic NSIP (n = 39) or (b) a pathologic diagnosis of usual interstitial pneumonia (UIP) and a clinical diagnosis of IPF (n = 75). Two groups of independent observers evaluated the extent and distribution of various CT findings and identified the following five patterns: UIP, possible UIP, indeterminate (either UIP or NSIP), NSIP, and suggestive of an alternative diagnosis. CT findings were compared with pathologic diagnoses and outcome from clinical findings by using the log-rank test and Kaplan-Meier curves.
RESULTS: Radiologists classified 17 cases as UIP, 24 as possible UIP, 13 as indeterminate (either UIP or NSIP), and 56 as NSIP. In 35 of 39 patients with pathologic NSIP, a diagnosis of NSIP was made with CT. On the basis of CT interpretations, the mean overall survival time of patients with UIP, possible UIP, indeterminate findings, or NSIP was 33.5, 73.0, 101.0, and 140.2 months, respectively. Outcome of patients with a CT diagnosis of UIP was significantly worse than that of patients with a pattern of possible UIP, indeterminate findings, or NSIP (log-rank test: P = .013, P = .018, and P < .001, respectively).
CONCLUSION: CT pattern in patients with pathologic NSIP is more uniform than that in patients with pathologic UIP, and CT NSIP pattern is associated with better patient outcome than is CT UIP pattern.

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Year:  2014        PMID: 24661246     DOI: 10.1148/radiol.14130853

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


  18 in total

1.  What factors determine the survival of patients with an acute exacerbation of interstitial lung disease after lung cancer resection?

Authors:  Masahiro Miyajima; Atsushi Watanabe; Toshihiko Sato; Satoshi Teramukai; Masahito Ebina; Kazuma Kishi; Yukihiko Sugiyama; Haruhiko Kondo; Satoru Kobayashi; Yutaka Takahashi; Hiroyuki Ito; Ryoji Yamamoto; Shigeki Sawada; Hideki Fujimori; Kazunori Okabe; Jun Arikura; Yasushi Shintani; Hiroshige Nakamura; Shinichi Toyooka; Tohru Hasumi; Takehiro Watanabe; Yoshinobu Hata; Hisashi Iwata; Minoru Aoki; Kazuhito Funai; Shuhei Inoue; Osamu Kawashima; Tomohiko Iida; Hiroshi Date
Journal:  Surg Today       Date:  2017-11-09       Impact factor: 2.549

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

Authors:  Chiara Romei; Laura Tavanti; Paola Sbragia; Annalisa De Liperi; Laura Carrozzi; Ferruccio Aquilini; Antonio Palla; Fabio Falaschi
Journal:  Radiol Med       Date:  2015-03-06       Impact factor: 3.469

3.  Predictors of idiopathic pulmonary fibrosis in absence of radiologic honeycombing: A cross sectional analysis in ILD patients undergoing lung tissue sampling.

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

Review 4.  Smoking-related lung abnormalities on computed tomography images: comparison with pathological findings.

Authors:  Tae Iwasawa; Tamiko Takemura; Takashi Ogura
Journal:  Jpn J Radiol       Date:  2017-12-15       Impact factor: 2.374

5.  CT Imaging Phenotypes of Pulmonary Fibrosis in the MUC5B Promoter Site Polymorphism.

Authors:  Jonathan H Chung; Anna L Peljto; Ashish Chawla; Janet L Talbert; David F McKean; Byung-Hak Rho; Tasha E Fingerlin; Marvin I Schwarz; David A Schwartz; David A Lynch
Journal:  Chest       Date:  2016-01-13       Impact factor: 9.410

6.  A case of methylprednisolone treatment for interstitial pneumonia induced by gefitinibin.

Authors:  Jun Yan; Chun Wang; Qinfang Zhang; Xiaoou Chen; Weiwei Yu
Journal:  Int J Clin Exp Med       Date:  2015-08-15

7.  Comparisons of Prognosis between Surgically and Clinically Diagnosed Idiopathic Pulmonary Fibrosis Using Gap Model: A Korean National 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; Moo Suk Park
Journal:  Medicine (Baltimore)       Date:  2016-03       Impact factor: 1.889

8.  Impact of idiopathic pulmonary fibrosis on advanced non-small cell lung cancer survival.

Authors:  Nobuhiro Kanaji; Akira Tadokoro; Nobuyuki Kita; Makiko Murota; Tomoya Ishii; Takehiro Takagi; Naoki Watanabe; Yasunori Tojo; Shingo Harada; Yusuke Hasui; Norimitsu Kadowaki; Shuji Bandoh
Journal:  J Cancer Res Clin Oncol       Date:  2016-06-27       Impact factor: 4.553

9.  Hyperpolarized 129Xe MRI and Spectroscopy of Gas-Exchange Abnormalities in Nonspecific Interstitial Pneumonia.

Authors:  David G Mummy; Elianna A Bier; Ziyi Wang; Jennifer Korzekwinski; Lake Morrison; Christina Barkauskas; H Page McAdams; Robert M Tighe; Bastiaan Driehuys; Joseph G Mammarappallil
Journal:  Radiology       Date:  2021-07-27       Impact factor: 29.146

Review 10.  Pharmacological Treatment of Idiopathic Pulmonary Fibrosis: Current Approaches, Unsolved Issues, and Future Perspectives.

Authors:  Michael Kreuter; Francesco Bonella; Marlies Wijsenbeek; Toby M Maher; Paolo Spagnolo
Journal:  Biomed Res Int       Date:  2015-12-08       Impact factor: 3.411

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