Variability of radiological and clinical features in cases with usual interstitial pneumonia without honeycombing

被引:0
作者
Sumikawa, Hiromitsu [1 ,2 ]
Johkoh, Takeshi [3 ]
Egashira, Ryoko [4 ]
Sugiura, Hiroaki [5 ]
Sugimoto, Chikatoshi [6 ]
Tanaka, Tomonori [7 ]
Nakamura, Masahisa [2 ]
Kuriu, Akihiro [2 ]
Tomiyama, Noriyuki [8 ]
Fujisawa, Tomoyuki [9 ]
Nakamura, Yutaro [9 ,10 ]
Suda, Takafumi [9 ]
机构
[1] Natl Hosp Org Kinki Chuo Chest Med Ctr, Dept Radiol, 1180 Nagasone Cho,Kita Ku, Sakai 5918555, Japan
[2] Sakai City Med Ctr, Dept Radiol, Sakai, Japan
[3] Kansai Rosai Hosp, Dept Radiol, Amagasaki, Hyogo, Japan
[4] Saga Univ, Fac Med, Dept Radiol, Saga, Japan
[5] Natl Def Med Coll, Dept Radiol, Saitama, Japan
[6] Natl Hosp Org Kinki Chuo Chest Med Ctr, Clin Res Ctr, Sakai, Japan
[7] Kobe Univ Hosp, Dept Diagnost Pathol, Kobe, Japan
[8] Osaka Univ, Grad Sch Med, Dept Radiol, Suita, Japan
[9] Hamamatsu Univ, Sch Med, Dept Internal Med, Div 2, Hamamatsu, Japan
[10] Natl Hosp Org Tenryu Hosp, Dept Resp Med, Hamamatsu, Japan
关键词
Multidetector Computed Tomography; Lung; Idiopathic Pulmonary Fibrosis; Idiopathic Interstitial Pneumonias; IDIOPATHIC PULMONARY-FIBROSIS; DIAGNOSIS; CT; SOCIETY; UPDATE;
D O I
10.1016/j.ejrad.2024.111651
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Background: Usual interstitial pneumonia (UIP) cases without honeycombing (possible UIP) included various CT features and was often difficult to diagnose. Purpose: This study aimed to classify the cases with possible UIP on CT features using cluster analysis and evaluate the features of subsets of participants and the correlation of prognosis. Materials and Methods: The study included 85 patients with possible UIP in the 2011 idiopathic pulmonary fibrosis (IPF) guideline with radiological diagnosis. All cases underwent surgical biopsies and were diagnosed by multidisciplinary discussion (MDD) from the nationwide registry in Japan. The readers evaluated pulmonary opacity, nodules, cysts, and predominant distribution which were reclassified by IPF guidelines in 2018. Additionally, cases were classified into four groups by cluster analysis based on CT findings. The differences in survival among IPF classification and the clusters were evaluated. Results: Cases were diagnosed as IPF (n = 55), NSIP (n = 4), unclassifiable (n = 23), and others (n = 3) by MDD. Cluster analysis revealed 4 clusters by CT features (n = 47, 16, 19 and 3, respectively). Cluster 1 had fewer lesions overall. Cluster 2 have many pure ground-glass opacities and ground-glass opacities with reticulation. Cluster 3 had many reticular opacities and nodules with few lower predominant distributions. Cluster 4 was characterized by peribronchovascular consolidation.The mean survival time of cluster 1 (4518 days) was significantly better than cluster 2, 3, and 4 (1843, 2196, and 1814 days, respectively) (p = 0.03). Conclusion: In conclusion, UIP without honeycombing included various CT patterns and MDD diagnoses. Significangly differences in prognosis were observed among clusters classified by CT findings.
引用
收藏
页数:8
相关论文
共 50 条
[41]   Usual Interstitial Pneumonia: Typical and Atypical High-Resolution Computed Tomography Features [J].
Lynch, David A. ;
Huckleberry, Jason M. .
SEMINARS IN ULTRASOUND CT AND MRI, 2014, 35 (01) :12-23
[42]   Interstitial Pneumonia with Autoimmune Features: Implications for Clinical Practice [J].
Cleland, Derrick ;
Sathananthan, Matheni ;
Jeganathan, Niranjan .
CURRENT PULMONOLOGY REPORTS, 2022, 11 (04) :132-150
[43]   Interstitial Pneumonia with Autoimmune Features: Implications for Clinical Practice [J].
Derrick Cleland ;
Matheni Sathananthan ;
Niranjan Jeganathan .
Current Pulmonology Reports, 2022, 11 :132-150
[44]   Interstitial pneumonia with autoimmune features (IPAF): a clinical entity? [J].
Mari, Pier-Valerio ;
Kay, Shannon ;
Belloli, Elisabeth ;
Salisbury, Margaret ;
Sheth, Jamie ;
Holtze, Colin ;
Wang, Bonnie ;
Myers, Jeffrey ;
Konopka, Kristine ;
Lagstein, Amir ;
Kazerooni, Ella ;
Chughtai, Aamer ;
Vummidi, Dharshan ;
Nagaraja, Vivek ;
Khanna, Dinesh ;
Flaherty, Kevin ;
Richeldi, Luca ;
White, Eric .
EUROPEAN RESPIRATORY JOURNAL, 2019, 54
[45]   Differentiating Smoking-Related Interstitial Fibrosis (SRIF) from Usual Interstitial Pneumonia (UIP) with Emphysema Using CT Features Based on Pathologically Proven Cases [J].
Chae, Kum Ju ;
Jin, Gong Yong ;
Jung, Hyun Nyeong ;
Kwon, Keun Sang ;
Choi, Hyemi ;
Lee, Yong Chul ;
Chung, Myoung Ja ;
Park, Ho Sung .
PLOS ONE, 2016, 11 (09)
[46]   Long-term clinical course and outcome of interstitial pneumonia with autoimmune features [J].
Kim, Ho Cheol ;
Lee, Joo Hee ;
Chae, Eun Jin ;
Song, Joon Seon ;
Song, Jin Woo .
RESPIROLOGY, 2020, 25 (06) :636-643
[47]   Analysis of Validation Performance of a Machine Learning Classifier in Interstitial Lung Disease Cases Without Definite or Probable Usual Interstitial Pneumonia Pattern on CT Using Clinical and Pathology-Supported Diagnostic Labels [J].
Chang, Marcello ;
Reicher, Joshua J. ;
Kalra, Angad ;
Muelly, Michael ;
Ahmad, Yousef .
JOURNAL OF IMAGING INFORMATICS IN MEDICINE, 2024, 37 (01) :297-307
[48]   Diagnostic certainty of idiopathic pulmonary fibrosis/usual interstitial pneumonia: The effect of the integrated clinico-radiological assessment [J].
Tominaga, Junya ;
Sakai, Fumikazu ;
Johkoh, Takeshi ;
Noma, Satoshi ;
Akira, Masanori ;
Fujimoto, Kiminori ;
Colby, Thomas V. ;
Ogura, Takashi ;
Inoue, Yoshikazu ;
Taniguchi, Hiroyuki ;
Homma, Sakae ;
Taguchi, Yoshio ;
Sugiyama, Yukihiko .
EUROPEAN JOURNAL OF RADIOLOGY, 2015, 84 (12) :2640-2645
[49]   CT Features of the Usual Interstitial Pneumonia Pattern: Differentiating Connective Tissue Disease-Associated Interstitial Lung Disease From Idiopathic Pulmonary Fibrosis [J].
Chung, Jonathan H. ;
Cox, Christian W. ;
Montner, Steven M. ;
Adegunsoye, Ayodeji ;
Oldham, Justin M. ;
Husain, Aliya N. ;
Vij, Rekha ;
Noth, Imre ;
Lynch, David A. ;
Strek, Mary E. .
AMERICAN JOURNAL OF ROENTGENOLOGY, 2018, 210 (02) :307-313
[50]   Clinical features of interstitial pneumonia associated with systemic lupus erythematosus [J].
Toyoda, Yuko ;
Koyama, Kazuya ;
Kawano, Hiroshi ;
Nishimura, Haruka ;
Kagawa, Kozo ;
Morizumi, Shun ;
Naito, Nobuhito ;
Sato, Seidai ;
Yamashita, Yuya ;
Takahashi, Naoki ;
Goto, Hisatsugu ;
Azuma, Masahiko ;
Nishioka, Yasuhiko .
RESPIRATORY INVESTIGATION, 2019, 57 (05) :435-443