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Sumikawa H, Johkoh T, Egashira R, Sugiura H, Sugimoto C, Tanaka T, Nakamura M, Kuriu A, Tomiyama N, Fujisawa T, Nakamura Y, Suda T. Variability of radiological and clinical features in cases with usual interstitial pneumonia without honeycombing. Eur J Radiol 2024; 179:111651. [PMID: 39128249 DOI: 10.1016/j.ejrad.2024.111651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 06/17/2024] [Accepted: 07/25/2024] [Indexed: 08/13/2024]
Abstract
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.
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Affiliation(s)
- Hiromitsu Sumikawa
- Department of Radiology, National Hospital Organization Kinki-Chuo Chest Medical Center, Japan; Department of Radiology, Sakai City Medical Center, Japan.
| | | | - Ryoko Egashira
- Department of Radiology, Faculty of Medicine, Saga University, Japan
| | - Hiroaki Sugiura
- Department of Radiology, National Defense Medical College, Japan
| | - Chikatoshi Sugimoto
- Clinical Research Center, National Hospital Organization Kinki-Chuo Chest Medical Center, Japan
| | - Tomonori Tanaka
- Department of Diagnostic Pathology, Kobe University Hospital, Japan
| | | | - Akihiro Kuriu
- Department of Radiology, Sakai City Medical Center, Japan
| | - Noriyuki Tomiyama
- Department of Radiology, Osaka University Graduate School of Medicine, Japan
| | - Tomoyuki Fujisawa
- Second Division, Department of Internal Medicine, Hamamatsu University School of Medicine, Japan
| | - Yutaro Nakamura
- Second Division, Department of Internal Medicine, Hamamatsu University School of Medicine, Japan; Department of Respiratory Medicine, National Hospital Organization Tenryu Hospital, Japan
| | - Takafumi Suda
- Second Division, Department of Internal Medicine, Hamamatsu University School of Medicine, Japan
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Gayá García-Manso I, Arenas Jiménez J, Hernández Blasco L, García Garrigós E, Nofuentes Pérez E, Sirera Matilla M, Ruiz Alcaraz S, García Sevila R. Radiological usual interstitial pneumonia pattern is associated with two-year mortality in patients with idiopathic pulmonary fibrosis. Heliyon 2024; 10:e26623. [PMID: 38434331 PMCID: PMC10906386 DOI: 10.1016/j.heliyon.2024.e26623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 02/15/2024] [Accepted: 02/16/2024] [Indexed: 03/05/2024] Open
Abstract
Introduction The new diagnostic guidelines for idiopathic pulmonary fibrosis (IPF) did not rule out the possibility of combining the radiological patterns of usual interstitial pneumonia (UIP) and probable UIP, given the similar management and diagnostic capacity. However, the prognostic implications of these patterns have not been fully elucidated, with different studies showing heterogeneous results. We applied the new criteria to a retrospective series of patients with IPF, assessing survival based on radiological patterns, findings, and their extension. Methods Two thoracic radiologists reviewed high-resolution computed tomography images taken at diagnosis in 146 patients with IPF, describing the radiological findings and patterns. The association of each radiological finding and radiological patterns with two-year mortality was analysed. Results The two-year mortality rate was 40.2% in IPF patients with an UIP radiological pattern versus 7.1% in those with probable UIP. Compared to the UIP pattern, probable UIP was protective against mortality, even after adjusting for age, sex, pulmonary function, and extent of fibrosis (hazard ratio (HR) 0.23, 95% confidence interval (CI) 0.06-0.99). Receiving antifibrotic treatment was also a protective factor (HR 0.51, 95%CI 0.27-0.98). Honeycombing (HR 3.62, 95%CI 1.27-10.32), an acute exacerbation pattern (HR 4.07, 95%CI 1.84-8.96), and the overall extent of fibrosis (HR 1.04, 95%CI 1.02-1.06) were predictors of mortality. Conclusions In our series, two-year mortality was higher in patients with IPF who presented a radiological pattern of UIP versus probable UIP on the initial scan. Honeycombing, an acute exacerbation pattern, and a greater overall extent of fibrosis were also predictors of increased mortality. The prognostic differences between the radiological pattern of UIP and probable UIP in our series would support maintaining them as two differentiated patterns.
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Affiliation(s)
| | - Juan Arenas Jiménez
- Department of Radiology, Dr. Balmis General University Hospital, ISABIAL, Alicante, Spain
| | - Luis Hernández Blasco
- Department of Pulmonology, Dr. Balmis General University Hospital, ISABIAL, Alicante, Spain
- Department of Clinical Medicine. UMH. Alicante, Spain
| | - Elena García Garrigós
- Department of Radiology, Dr. Balmis General University Hospital, ISABIAL, Alicante, Spain
| | - Ester Nofuentes Pérez
- Department of Pulmonology, Vinalopó University Hospital, Elche, ISABIAL, Alicante, Spain
| | - Marina Sirera Matilla
- Department of Radiology, Dr. Balmis General University Hospital, ISABIAL, Alicante, Spain
| | - Sandra Ruiz Alcaraz
- Department of Pulmonology, Elche General University Hospital, Elche, ISABIAL, Alicante, Spain
| | - Raquel García Sevila
- Department of Pulmonology, Dr. Balmis General University Hospital, ISABIAL, Alicante, Spain
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Rodriguez K, Ashby CL, Varela VR, Sharma A. High-Resolution Computed Tomography of Fibrotic Interstitial Lung Disease. Semin Respir Crit Care Med 2022; 43:764-779. [PMID: 36307108 DOI: 10.1055/s-0042-1755563] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
While radiography is the first-line imaging technique for evaluation of pulmonary disease, high-resolution computed tomography (HRCT) provides detailed assessment of the lung parenchyma and interstitium, allowing normal anatomy to be differentiated from superimposed abnormal findings. The fibrotic interstitial lung diseases have HRCT features that include reticulation, traction bronchiectasis and bronchiolectasis, honeycombing, architectural distortion, and volume loss. The characterization and distribution of these features result in distinctive CT patterns. The CT pattern and its progression over time can be combined with clinical, serologic, and pathologic data during multidisciplinary discussion to establish a clinical diagnosis. Serial examinations identify progression, treatment response, complications, and can assist in determining prognosis. This article will describe the technique used to perform HRCT, the normal and abnormal appearance of the lung on HRCT, and the CT patterns identified in common fibrotic lung diseases.
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Affiliation(s)
- Karen Rodriguez
- Division of Thoracic Imaging and Intervention, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts
| | - Christian L Ashby
- School of Medicine, Universidad Central del Caribe School of Medicine, Bayamón, Puerto Rico
| | - Valeria R Varela
- School of Medicine, Universidad Central del Caribe School of Medicine, Bayamón, Puerto Rico
| | - Amita Sharma
- Division of Thoracic Imaging and Intervention, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts
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Broască L, Trușculescu AA, Ancușa VM, Ciocârlie H, Oancea CI, Stoicescu ER, Manolescu DL. A Novel Method for Lung Image Processing Using Complex Networks. TOMOGRAPHY (ANN ARBOR, MICH.) 2022; 8:1928-1946. [PMID: 35894027 PMCID: PMC9332806 DOI: 10.3390/tomography8040162] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 07/20/2022] [Accepted: 07/22/2022] [Indexed: 02/07/2023]
Abstract
The High-Resolution Computed Tomography (HRCT) detection and diagnosis of diffuse lung disease is primarily based on the recognition of a limited number of specific abnormal findings, pattern combinations or their distributions, as well as anamnesis and clinical information. Since texture recognition has a very high accuracy percentage if a complex network approach is used, this paper aims to implement such a technique customized for diffuse interstitial lung diseases (DILD). The proposed procedure translates HRCT lung imaging into complex networks by taking samples containing a secondary lobule, converting them into complex networks and analyzing them in three dimensions: emphysema, ground glass opacity, and consolidation. This method was evaluated on a 60-patient lot and the results showed a clear, quantifiable difference between healthy and affected lungs. By deconstructing the image on three pathological axes, the method offers an objective way to quantify DILD details which, so far, have only been analyzed subjectively.
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Affiliation(s)
- Laura Broască
- Department of Computer and Information Technology, Automation and Computers Faculty, “Politehnica” University of Timișoara, Vasile Pârvan Blvd. No. 2, 300223 Timișoara, Romania; (L.B.); (V.M.A.); (H.C.)
| | - Ana Adriana Trușculescu
- Pulmonology Department, ‘Victor Babes’ University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timișoara, Romania;
- Center for Research and Innovation in Precision Medicine of Respiratory Diseases (CRIPMRD), ‘Victor Babes’, University of Medicine and Pharmacy, 300041 Timișoara, Romania;
- Correspondence:
| | - Versavia Maria Ancușa
- Department of Computer and Information Technology, Automation and Computers Faculty, “Politehnica” University of Timișoara, Vasile Pârvan Blvd. No. 2, 300223 Timișoara, Romania; (L.B.); (V.M.A.); (H.C.)
| | - Horia Ciocârlie
- Department of Computer and Information Technology, Automation and Computers Faculty, “Politehnica” University of Timișoara, Vasile Pârvan Blvd. No. 2, 300223 Timișoara, Romania; (L.B.); (V.M.A.); (H.C.)
| | - Cristian-Iulian Oancea
- Pulmonology Department, ‘Victor Babes’ University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timișoara, Romania;
- Center for Research and Innovation in Precision Medicine of Respiratory Diseases (CRIPMRD), ‘Victor Babes’, University of Medicine and Pharmacy, 300041 Timișoara, Romania;
| | - Emil-Robert Stoicescu
- Department of Radiology and Medical Imaging, ‘Victor Babes’ University of Medicine and Pharmacy Timisoara, Eftimie Murgu Square No. 2, 300041 Timișoara, Romania;
- Research Center for Pharmaco-Toxicological Evaluations, ‘Victor Babes’ University of Medicine and Pharmacy Timisoara, Eftimie Murgu Square No. 2, 300041 Timișoara, Romania
| | - Diana Luminița Manolescu
- Center for Research and Innovation in Precision Medicine of Respiratory Diseases (CRIPMRD), ‘Victor Babes’, University of Medicine and Pharmacy, 300041 Timișoara, Romania;
- Department of Radiology and Medical Imaging, ‘Victor Babes’ University of Medicine and Pharmacy Timisoara, Eftimie Murgu Square No. 2, 300041 Timișoara, Romania;
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Mosaic attenuation in non-fibrotic areas as a predictor of non-usual interstitial pneumonia pathologic diagnosis. Sci Rep 2022; 12:7289. [PMID: 35508493 PMCID: PMC9068629 DOI: 10.1038/s41598-022-10750-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Accepted: 04/13/2022] [Indexed: 11/13/2022] Open
Abstract
The new radiological diagnostic criteria for diagnosing idiopathic pulmonary fibrosis (IPF) seek to optimize the indications for surgical lung biopsy (SLB). We applied the new criteria to a retrospective series of patients with interstitial lung disease (ILD) who underwent SLB in order to analyse the correlation between the radiological findings suggestive of another diagnosis (especially mosaic attenuation and its location with respect to fibrotic areas) and the usual interstitial pneumonia (UIP) pathologic diagnosis. Two thoracic radiologists reviewed the HRCT images of 83 patients with ILD and SLB, describing the radiological findings and patterns based on the new criteria. The association of each radiological finding with radiological patterns and histology was analysed. Mosaic attenuation is highly prevalent in both the UIP and non-UIP pathologic diagnosis and with similar frequency (80.0% vs. 78.6%). However, the presence of significant mosaic attenuation (≥ 3 lobes) only in non-fibrotic areas was observed in 60.7% of non-UIP pathologic diagnosis compared to 20.0% in UIP. This finding was associated with other diagnoses different from IPF, mostly connective tissue disease-associated interstitial lung disease (CTD-ILD) and hypersensitivity pneumonitis (HP). In our series of pathologically confirmed ILD, mosaic attenuation in non-fibrotic areas was a predictor of non-UIP pathologic diagnosis, and was associated with other diagnoses different from UIP, mostly CTD-ILD and HP. If confirmed in larger series, this finding could constitute a valuable tool for improving the interpretation of radiological patterns.
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