Chest Computed Tomography-Based Scoring of Thoracic Sarcoidosis: Inter-rater Reliability of CT Abnormalities

Heuvel, Daniel A. van den; Jong, Pim A. de; Zanen, Pieter; Es, Hendrik W. van; Heesewijk, Johannes P. van; Spee, Marcela; Grutters, Jan C.

doi:10.1007/s00330-015-3685-4

Cited by 9 publications

(7 citation statements)

References 27 publications

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“…Irreversible lesions include honeycombing, traction bronchiectasis and emphysematous bubbles [24]. Several HRCT scores have been developed to correlate the imaging manifestations with the results of respiratory function tests in pulmonary sarcoidosis [25,26].…”

Section: Ct In Pulmonary Sarcoidosis Imaging Findings and Classificamentioning

confidence: 99%

“…A recent HRCT score based on the presence of ground glass opacities, thickening of the interlobular septa and parenchymal consolidations can allow the quantification of the disease activity and predict the variation of forced vital capacity after a year of therapy [25,26]. Walsh et al reported that both the visual assessment of the extent of pulmonary fibrosis and the relationship between the diameter of the pulmonary artery and the diameter of the ascending aorta on HRCT can provide useful information about the prognosis of sarcoidosis.…”

Section: Ct In Pulmonary Sarcoidosis Imaging Findings and Classificamentioning

confidence: 99%

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CT Findings in Pulmonary and Abdominal Sarcoidosis. Implications for Diagnosis and Classification

Tana¹,

Donatiello

Coppola³

et al. 2020

JCM

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Sarcoidosis is a granulomatous disorder of unknown etiology characterized by noncaseating granulomas virtually in every organ and tissue. This finding represents the most important diagnostic clue to reach a correct definition of sarcoidosis, although the biopsy is invasive and has several risk procedures. Several efforts are made to suspect the diagnosis of sarcoidosis by combining noninvasive elements, in particular from imaging, though these findings are often nonspecific and reflect the wide multifactorial pathogenesis. Every effort should be made to obtain a detailed radiological picture that, if associated with a suggestive clinical picture, could avoid the need of biopsy in some specific cases. In this narrative review, we aim to describe main computed tomography (CT) features of pulmonary and abdominal sarcoidosis, by reporting strengths and limits of this technique, in particular for the identification of extrapulmonary, isolated disease.

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Section: Ct In Pulmonary Sarcoidosis Imaging Findings and Classificamentioning

confidence: 99%

Section: Ct In Pulmonary Sarcoidosis Imaging Findings and Classificamentioning

confidence: 99%

CT Findings in Pulmonary and Abdominal Sarcoidosis. Implications for Diagnosis and Classification

Tana¹,

Donatiello

Coppola³

et al. 2020

JCM

View full text Add to dashboard Cite

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“…Numerous CT-based scoring systems have been developed for evaluation of the correlation between CT findings and pulmonary function test results in pulmonary sarcoidosis (24,25). A recent CT scoring system based on nodularity, groundglass opacification, interlobular septal thickening, and consolidation was reported to allow quantification of disease activity and prediction of forced vital capacity response to therapy at 1 year (24).…”

Section: Teaching Pointsmentioning

confidence: 99%

Sarcoidosis from Head to Toe: What the Radiologist Needs to Know

Ganeshan¹,

Menias²,

Lubner³

et al. 2018

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Sarcoidosis is a multisystem granulomatous disorder characterized by development of noncaseating granulomas in various organs. Although the etiology of this condition is unclear, environmental and genetic factors may be substantial in its pathogenesis. Clinical features are often nonspecific, and imaging is essential to diagnosis. Abnormalities may be seen on chest radiographs in more than 90% of patients with thoracic sarcoidosis. Symmetric hilar and mediastinal adenopathy and pulmonary micronodules in a perilymphatic distribution are characteristic features of sarcoidosis. Irreversible pulmonary fibrosis may be seen in 25% of patients with the disease. Although sarcoidosis commonly involves the lungs, it can affect virtually any organ in the body. Computed tomography (CT), magnetic resonance imaging, and positron emission tomography/CT are useful in the diagnosis of extrapulmonary sarcoidosis, but imaging features may overlap with those of other conditions. Familiarity with the spectrum of multimodality imaging findings of sarcoidosis can help to suggest the diagnosis and guide appropriate management. RSNA, 2018.

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“…This is due in part to the diverse and heterogeneous patterns present on chest HRCT in sarcoidosis, often with multiple patterns noted on one CT. These complexities result in high inter- and intra-rater variation (11). More automated systems that quantify sarcoidosis chest HRCT could decrease these sources of variation.…”

Section: Introductionmentioning

confidence: 99%

Radiomic Profiling of Chest CT in a Cohort of Sarcoidosis Cases

Carlson

Lippitt

Ryan

et al. 2022

Preprint

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Question Addressed: High resolution computed tomography (HRCT) of the chest is increasingly used in clinical practice for sarcoidosis. Visual assessment of chest HRCTs in patients with sarcoidosis has high inter- and intra-rater variation. Radiomics offers a reproducible quantitative assessment of HRCT lung parenchyma and could be useful as an additional summary measure of disease. We develop radiomic profiles on HRCT and map them to clinical and patient reported outcomes. Patients and Methods: Three-dimensional radiomic features were calculated on chest HRCT for the left and right lung from sarcoidosis cases enrolled in the Genomic Research in Alpha-1 Antitrypsin Deficiency and Sarcoidosis study (N=321). Sparse K-means was used to group sarcoidosis cases using their radiomic profiles. Linear regression investigated how pulmonary function tests and patient reported outcomes differed between groups. Resampling approaches were used to validate the robustness of the findings. Results: Five groups were identified. The new radiomic-based grouping was associated with Scadding stage (p<0.001), but each radiomic group had patients from all Scadding stages. All pulmonary function testing measures significantly differed between radiomic groups (p<0.001). Radiomic group remained significantly associated with pulmonary function even after adjusting for Scadding stage (p<0.0001). Individual radiomic measures explained 9-18% of the variation in pulmonary function testing. Only two patient reported outcomes (shortness of breath and physical health) differed by radiomic group (p<0.013). Answer to Question: Radiomic quantification of sarcoidosis identifies subgroups associated with pulmonary function and patient reported outcomes. These associations provide additional evidence that radiomics may be useful for quantifying new disease phenotypes.

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Chest Computed Tomography-Based Scoring of Thoracic Sarcoidosis: Inter-rater Reliability of CT Abnormalities

Cited by 9 publications

References 27 publications

CT Findings in Pulmonary and Abdominal Sarcoidosis. Implications for Diagnosis and Classification

CT Findings in Pulmonary and Abdominal Sarcoidosis. Implications for Diagnosis and Classification

Sarcoidosis from Head to Toe: What the Radiologist Needs to Know

Radiomic Profiling of Chest CT in a Cohort of Sarcoidosis Cases

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