Purpose: To compare the morphologic abnormalities on thin-section computed tomographic (CT) images in a group of patients with histopathologically confirmed nonspecific interstitial pneumonia (NSIP) or usual interstitial pneumonia (UIP) and a clinical presentation of idiopathic pulmonary fibrosis.
Materials And Methods: Thin-section CT imaging patterns and distribution of disease in 53 patients with histologic diagnoses of NSIP (n = 21) or UIP (n = 32) were quantified retrospectively and independently by four observers. The appearances of NSIP and UIP at CT were compared with univariate and multivariate techniques.
Results: The use of thin-section CT proved to have moderate sensitivity (70%), specificity (63%), and accuracy (66%) in the diagnosis of NSIP. An increased proportion of ground-glass attenuation was the cardinal feature of NSIP at CT (odds ratio: 1.04 for each 1% increase in the proportion of ground-glass attenuation). A histologic diagnosis of NSIP was most frequent (in 24 of 35 observations [69%]) when ground-glass attenuation predominated, and was more frequent with mixed (35 of 79 observations [44%]) than with predominantly reticular disease (25 of 98 [26%] observations, P < .005). Logistic regression analysis of the data indicated that misdiagnosis of UIP in patients with NSIP was associated with less ground-glass attenuation (P < .005) at CT and a subpleural disease distribution (P = .02), with the converse being true for UIP cases misdiagnosed as NSIP.
Conclusion: In patients with a clinical presentation of idiopathic pulmonary fibrosis, the accuracy of thin-section CT in identifying NSIP is considerably higher than previously reported. At CT, NSIP is characterized by more ground-glass attenuation and a finer reticular pattern than is UIP. Nevertheless, considerable overlap in thin-section CT patterns exists between NSIP and UIP.
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http://dx.doi.org/10.1148/radiol.2213010158 | DOI Listing |
Diagnostics (Basel)
December 2024
Department of Cardiothoracic Surgery, Lady Davis Carmel Medical Center, 7 Michal St., Haifa 3436212, Israel.
Background: A ground glass nodule (GGN) is a radiologically descriptive term for a lung parenchymal area with increased attenuation and preserved bronchial and vascular structures. GGNs are further divided into pure versus subsolid lesions. The differential diagnosis for GGNs is wide and contains a malignant possibility for a lung adenocarcinoma precursor or tumor.
View Article and Find Full Text PDFRespir Med
January 2025
Center of Excellence for Interstitial Lung Diseases, Tel Aviv Medical Center, Tel Aviv University, Israel; Institute of Pulmonary Medicine, Tel Aviv Medical Center, Tel Aviv University, Israel. Electronic address:
Background: The radiologic criteria of hypersensitivity pneumonitis (HP) guidelines focus on four HP compatible features (HPCF) in high-resolution computed tomography (HRCT): ground glass opacities, mosaic attenuation, air-trapping, and centrilobular nodules. However, evidence to support these criteria are limited.
Methods: Consecutive interstitial lung disease (ILD) patients who underwent HRCT between 2016 and 2021 in three medical centers were included.
J Med Invest
October 2024
Department of Radiology, Faculty of Medical Sciences, University of Fukui, Fukui 910-1193, Japan.
Post-mortem computed tomography (PMCT) is a useful tool to investigate the cause of death. To appropriately use PMCT for cause-of-death analysis, it is necessary to know natural courses after death such as hypostasis in the lungs. We aimed to investigate the natural time-course change of postmortem chest CT findings and its pathological correlation in piglets.
View Article and Find Full Text PDFBMC Infect Dis
October 2024
Department of Hematology, School of Medicine, Istanbul Medipol University, Istanbul, Türkiye.
Quant Imaging Med Surg
September 2024
Department of Radiology, Qilu Hospital of Shandong University Dezhou Hospital, Dezhou, China.
Background: The incidence and mortality rate of lung cancer are the highest in the world among all malignant tumors. Accurate assessment of ground-glass nodules (GGNs) is crucial in reducing lung cancer mortality. This study aimed to explore the value of computed tomography (CT) features and quantitative parameters in predicting the invasiveness and degree of infiltration of GGNs.
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