Literature DB >> 26391232

Diagnostic certainty of idiopathic pulmonary fibrosis/usual interstitial pneumonia: The effect of the integrated clinico-radiological assessment.

Junya Tominaga1, Fumikazu Sakai2, Takeshi Johkoh3, Satoshi Noma4, Masanori Akira5, Kiminori Fujimoto6, Thomas V Colby7, Takashi Ogura8, Yoshikazu Inoue9, Hiroyuki Taniguchi10, Sakae Homma11, Yoshio Taguchi12, Yukihiko Sugiyama13.   

Abstract

OBJECTIVE: To reevaluate idiopathic pulmonary fibrosis (IPF) cases which had surgical lung biopsy (SLB) for diagnosis of usual interstitial pneumonia (UIP), and examine the influence of computed tomography (CT) findings and clinical information based on diagnostic certainty.
METHODS: Ninety-five cases with multidisciplinary diagnoses of IPF were identified from eight institutions. All cases had SLB. Two expert chest radiologists and five expert pulmonologists used a 5-point scale to grade their level of certainty in the diagnosis of a radiological pattern of UIP or a clinical diagnosis of IPF (level 1 "definitely no" to level 5 "definitely yes"). Radiologists independently evaluated thin-section CT images and pulmonologists independently assessed clinical information. The two groups then discussed their diagnosis to obtain a final consensus, and listed alternative diagnoses. Changes in the level of certainty during the diagnostic process were investigated.
RESULTS: The level of certainty for IPF was judged as low (level 1 or 2) in 32 cases (34%) by radiologists and in three cases (3%) by pulmonologists; in the final consensus 39 cases (41%) were judged as low. Chronic hypersensitivity pneumonitis (CHP), interstitial pneumonia associated with collagen tissue diseases (CTD-IP), and idiopathic nonspecific interstitial pneumonia (idiopathic NSIP) were listed as alternative diagnoses.
CONCLUSIONS: In this retrospective series, some cases that had UIP confirmed on SLB for IPF diagnosis were classified into a low-level certainty group by expert chest radiologists and pulmonologists. When a diagnosis of IPF is made, the possibility of CHP, CTD-IP, and idiopathic NSIP must be also considered.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Clinic-radiological diagnosis; Computed tomography; Idiopathic pulmonary fibrosis; Usual interstitial pneumonia

Mesh:

Year:  2015        PMID: 26391232     DOI: 10.1016/j.ejrad.2015.08.016

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  9 in total

1.  Diagnosis of Idiopathic Pulmonary Fibrosis in High-Resolution Computed Tomography Scans Using a Combination of Handcrafted Radiomics and Deep Learning.

Authors:  Turkey Refaee; Zohaib Salahuddin; Anne-Noelle Frix; Chenggong Yan; Guangyao Wu; Henry C Woodruff; Hester Gietema; Paul Meunier; Renaud Louis; Julien Guiot; Philippe Lambin
Journal:  Front Med (Lausanne)       Date:  2022-06-23

Review 2.  The diagnosis of idiopathic pulmonary fibrosis: current and future approaches.

Authors:  Fernando J Martinez; Alison Chisholm; Harold R Collard; Kevin R Flaherty; Jeffrey Myers; Ganesh Raghu; Simon L F Walsh; Eric S White; Luca Richeldi
Journal:  Lancet Respir Med       Date:  2016-12-06       Impact factor: 30.700

3.  A Handcrafted Radiomics-Based Model for the Diagnosis of Usual Interstitial Pneumonia in Patients with Idiopathic Pulmonary Fibrosis.

Authors:  Turkey Refaee; Benjamin Bondue; Gaetan Van Simaeys; Guangyao Wu; Chenggong Yan; Henry C Woodruff; Serge Goldman; Philippe Lambin
Journal:  J Pers Med       Date:  2022-02-28

4.  Quantitative evaluation of interstitial pneumonia using 3D-curved high-resolution CT imaging parallel to the chest wall: A pilot study.

Authors:  Hiroyasu Umakoshi; Shingo Iwano; Tsutomu Inoue; Yuanzhong Li; Shinji Naganawa
Journal:  PLoS One       Date:  2017-09-28       Impact factor: 3.240

5.  Deep learning and the evaluation of pulmonary fibrosis.

Authors:  David L Levin
Journal:  Lancet Respir Med       Date:  2018-09-16       Impact factor: 30.700

6.  The Role of Follow-up Evaluation in the Diagnostic Algorithm of Idiopathic Interstitial Pneumonia: A Retrospective Study.

Authors:  Qian Han; Hong-Yu Wang; Xiao-Xian Zhang; Lu-Lu Wu; Lu-Lin Wang; Ying Jiang; Kui-Miao Deng; Meng-Meng Mao; Rong-Chang Chen; Martin Kolb; Qun Luo
Journal:  Sci Rep       Date:  2019-04-23       Impact factor: 4.379

7.  The Role of the Multidisciplinary Evaluation of Interstitial Lung Diseases: Systematic Literature Review of the Current Evidence and Future Perspectives.

Authors:  Federica Furini; Aldo Carnevale; Gian Luca Casoni; Giulio Guerrini; Lorenzo Cavagna; Marcello Govoni; Carlo Alberto Sciré
Journal:  Front Med (Lausanne)       Date:  2019-10-31

8.  The significance of multidisciplinary classifications based on transbronchial pathology in possible idiopathic interstitial pneumonias.

Authors:  Weixue Wang; Jian Xu; Chunfang Liu; Ruie Feng; Junjun Zhao; Na Gao; Ling Jiang; Xiaolin Zhang; Xue Han; Lina Ren; Xiaohui Zhao; Yuan Liu
Journal:  Medicine (Baltimore)       Date:  2020-07-10       Impact factor: 1.817

Review 9.  Artificial intelligence in pulmonary medicine: computer vision, predictive model and COVID-19.

Authors:  Danai Khemasuwan; Jeffrey S Sorensen; Henri G Colt
Journal:  Eur Respir Rev       Date:  2020-10-01
  9 in total

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