nach oben

European Radiology

Erschienen in:

19.03.2020 | Chest

Quantitative computed tomography assessment for systemic sclerosis–related interstitial lung disease: comparison of different methods

verfasst von: Furkan Ufuk, Mahmut Demirci, Goksel Altinisik

Erschienen in: European Radiology | Ausgabe 8/2020

Einloggen, um Zugang zu erhalten

Abstract

Objectives

To compare the previously defined six different histogram-based quantitative lung assessment (QLA) methods on high-resolution CT (HRCT) in patients with systemic sclerosis (SSc)–related interstitial lung disease (ILD).

Methods

The HRCT images of SSc patients with ILD were reviewed, and the visual ILD score (semiquantitative) and the severity of ILD (limited or extensive) were calculated. The QLA score of ILD was evaluated using the previously defined six different methods and parameters (different lung attenuation ranges, skewness, kurtosis, mean lung attenuation, and standard deviation [SD]). Pulmonary function tests (PFTs) were also performed on all patients. Relationships among variables were evaluated using Spearman’s correlation coefficient (r). Diagnostic performance of quantitative methods for the ability to differentiate the limited from extensive ILD was calculated using ROC analysis.

Results

Fifty-five patients were included in the study. There was a significant correlation between all quantitative and semiquantitative measurement results (p < 0.0001). The QLA scores revealed a significant correlation with PFT results. The kurtosis value of the voxels between − 200 and − 1024 Hounsfield unit (HU) (Method-5) showed the best correlation with semiquantitative evaluation (r = − 0.740, p < 0.0001). The ROC analysis demonstrated the best performance of SD of the voxels between − 400 and − 950 HU (Method-6) for histogram analysis method and Method-3 (voxels between − 260 and − 600 HU were calculated as ILD) for CT density cutoff methods.

Conclusions

All the QLA methods are applicable in assessing the ILD score in SSc patients and have potential importance to differentiate limited from extensive ILD.

Key Points

• Quantitative interstitial lung disease assessment helps clinicians to assess systemic sclerosis patients with interstitial lung disease.

• Quantitative lung assessment methods are applicable in assessing the interstitial lung disease score in systemic sclerosis patients.

• Quantitative lung assessment methods have potential importance in the management of patients.

Nur mit Berechtigung zugänglich

Walker UA, Tyndall A, Czirjak L et al (2007) Clinical risk assessment of organ manifestations in systemic sclerosis: a report from the EULAR Scleroderma Trials and Research group database. Ann Rheum Dis 66:754–763CrossRef

Steen VD, Medsger TA (2007) Changes in causes of death in systemic sclerosis, 1972-2002. Ann Rheum Dis 66:940–944CrossRef

Ioannidis JP, Vlachoyiannopoulos PG, Haidich AB et al (2005) Mortality in systemic sclerosis: an international meta-analysis of individual patient data. Am J Med 118:2–10CrossRef

Mouthon L, Berezné A, Brauner M, Kambouchner M, Guillevin L, Valeyre D (2007) Pneumopathie infiltrante diffuse de la sclerodermie systemique [Interstitial lung disease in systemic sclerosis]. Rev Mal Respir 24:1035–1046

Caron M, Hoa S, Hudson M, Schwartzman K, Steele R (2018) Pulmonary function tests as outcomes for systemic sclerosis interstitial lung disease. Eur Respir Rev 27:170102

Watadani T, Sakai F, Johkoh T et al (2013) Interobserver variability in the CT assessment of honeycombing in the lungs. Radiology 266:936–944CrossRef

Aziz ZA, Wells AU, Hansell DM et al (2004) HRCT diagnosis of diffuse parenchymal lung disease: inter-observer variation. Thorax 59:506–511CrossRef

Ninaber MK, Stolk J, Smit J et al (2015) Lung structure and function relation in systemic sclerosis: application of lung densitometry. Eur J Radiol 84:975–979CrossRef

Yabuuchi H, Matsuo Y, Tsukamoto H et al (2014) Evaluation of the extent of ground-glass opacity on high-resolution CT in patients with interstitial pneumonia associated with systemic sclerosis: comparison between quantitative and qualitative analysis. Clin Radiol 69:758–764CrossRef

10.

Salaffi F, Carotti M, Bosello S et al (2015) Computer-aided quantification of interstitial lung disease from high resolution computed tomography images in systemic sclerosis: correlation with visual reader-based score and physiologic tests. Biomed Res Int 2015:834262PubMedPubMedCentral

11.

Salaffi F, Carotti M, Di Donato E, Di Carlo M, Ceccarelli L, Giuseppetti G (2016) Computer-aided tomographic analysis of interstitial lung disease (ILD) in patients with systemic sclerosis (SSc). Correlation with pulmonary physiologic tests and patient-centred measures of perceived dyspnea and functional disability. PLoS One 11:e0149240CrossRef

12.

Marten K, Dicken V, Kneitz C et al (2009) Interstitial lung disease associated with collagen vascular disorders: disease quantification using a computer-aided diagnosis tool. Eur Radiol 19:324–332CrossRef

13.

Marten K, Dicken V, Kneitz C et al (2009) Computer-assisted quantification of interstitial lung disease associated with rheumatoid arthritis: preliminary technical validation. Eur J Radiol 72:278–283CrossRef

14.

Çetinçakmak MG, Göya C, Hamidi C et al (2016) Quantitative volumetric assessment of pulmonary involvement in patients with systemic sclerosis. Quant Imaging Med Surg 6:50–56PubMedPubMedCentral

15.

Ariani A, Silva M, Bravi E et al (2015) Operator-independent quantitative chest computed tomography versus standard assessment of interstitial lung disease related to systemic sclerosis: a multi-centric study. Mod Rheumatol 25:724–730CrossRef

16.

Ariani A, Lumetti F, Silva M et al (2014) Systemic sclerosis interstitial lung disease evaluation: comparison between semiquantitative and quantitative computed tomography assessments. J Biol Regul Homeost Agents 28:507–513PubMed

17.

Camiciottoli G, Orlandi I, Bartolucci M et al (2007) Lung CT densitometry in systemic sclerosis: correlation with lung function, exercise testing, and quality of life. Chest 131:672–681CrossRef

18.

Koyama H, Ohno Y, Yamazaki Y et al (2010) Quantitatively assessed CT imaging measures of pulmonary interstitial pneumonia: effects of reconstruction algorithms on histogram parameters. Eur J Radiol 74:142–146CrossRef

19.

Kazantzi A, Costaridou L, Skiadopoulos S et al (2014) Automated 3D ιnterstitial lung disease extent quantification: performance evaluation and correlation to PFTs. J Digit Imaging 27:380–391CrossRef

20.

Kim HJ, Brown MS, Elashoff R et al (2011) Quantitative texture-based assessment of one-year changes in fibrotic reticular patterns on HRCT in scleroderma lung disease treated with oral cyclophosphamide. Eur Radiol 21:2455–2465CrossRef

21.

Kim HJ, Tashkin DP, Gjertson DW et al (2016) Transitions to different patterns of interstitial lung disease in scleroderma with and without treatment. Ann Rheum Dis 75:1367–1371CrossRef

22.

Kim HG, Tashkin DP, Clements PJ et al (2010) A computer-aided diagnosis system for quantitative scoring of extent of lung fibrosis in scleroderma patients. Clin Exp Rheumatol 28:S26–S35PubMedPubMedCentral

23.

Jacob J, Bartholmai BJ, Rajagopalan S et al (2016) Evaluation of computer-based computer tomography stratification against outcome models in connective tissue disease-related interstitial lung disease: a patient outcome study. BMC Med 14:190CrossRef

24.

Khanna D, Nagaraja V, Tseng CH et al (2015) Predictors of lung function decline in scleroderma-related interstitial lung disease based on high-resolution computed tomography: implications for cohort enrichment in systemic sclerosis-associated interstitial lung disease trials. Arthritis Res Ther 17:372CrossRef

25.

Tashkin DP, Volkmann ER, Tseng CH et al (2016) Relationship between quantitative radiographic assessments of interstitial lung disease and physiological and clinical features of systemic sclerosis. Ann Rheum Dis 75:374–381CrossRef

26.

Rosas IO, Yao J, Avila NA, Chow CK, Gahl WA, Gochuico BR (2011) Automated quantification of high-resolution CT scan findings in individuals at risk for pulmonary fibrosis. Chest 140:1590–1597CrossRef

27.

van den Hoogen F, Khanna D, Fransen J et al (2013) 2013 classification criteria for systemic sclerosis: an American College of Rheumatology/European League against rheumatism collaborative initiative. Ann Rheum Dis 72:1747–1755CrossRef

28.

Miller MR, Hankinson J, Brusasco V et al (2005) Standardisation of spirometry. Eur Respir J 26:319–338CrossRef

29.

Goh NS, Desai SR, Veeraraghavan S et al (2008) Interstitial lung disease in systemic sclerosis: a simple staging system. Am J Respir Crit Care Med 177:1248–1254CrossRef

30.

Zhang Z, Castelló A (2017) Principal components analysis in clinical studies. Ann Transl Med 5:351CrossRef

31.

Warrick JH, Bhalla M, Schabel SI, Silver RM (1991) High resolution computed tomography in early scleroderma lung disease. J Rheumatol 18:1520–1528PubMed

32.

Winstone TA, Assayag D, Wilcox PG et al (2014) Predictors of mortality and progression in scleroderma-associated interstitial lung disease: a systematic review. Chest 146:422–436CrossRef

33.

Ariani A, Silva M, Seletti V et al (2017) Quantitative chest computed tomography is associated with two prediction models of mortality in interstitial lung disease related to systemic sclerosis. Rheumatology (Oxford) 56:922–927CrossRef

34.

Bocchino M, Bruzzese D, D’Alto M et al (2019) Performance of a new quantitative computed tomography index for interstitial lung disease assessment in systemic sclerosis. Sci Rep 9:9468CrossRef

Titel: Quantitative computed tomography assessment for systemic sclerosis–related interstitial lung disease: comparison of different methods
verfasst von: Furkan Ufuk
Mahmut Demirci
Goksel Altinisik
Publikationsdatum: 19.03.2020
Verlag: Springer Berlin Heidelberg
Erschienen in: European Radiology / Ausgabe 8/2020
Print ISSN: 0938-7994
Elektronische ISSN: 1432-1084
DOI: https://doi.org/10.1007/s00330-020-06772-2

Neu im Fachgebiet Radiologie

23.04.2024 | Pankreaskarzinom | Nachrichten

Update Radiologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.

Newsletter bestellen

Springer Medizin

Quantitative computed tomography assessment for systemic sclerosis–related interstitial lung disease: comparison of different methods

Abstract

Objectives

Methods

Results

Conclusions

Key Points

Neu im Fachgebiet Radiologie

S3-Leitlinie zu Pankreaskrebs aktualisiert

Fünf Dinge, die im Kindernotfall besser zu unterlassen sind

„Nur wer sich gut aufgehoben fühlt, kann auch für Patientensicherheit sorgen“

Wie toxische Männlichkeit der Gesundheit von Männern schadet

Update Radiologie

Springer Medizin

Abstract

Objectives

Methods

Results

Conclusions

Key Points

Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten

Weitere Artikel der Ausgabe 8/2020

Detection of insulinoma: one-stop pancreatic perfusion CT with calculated mean temporal images can replace the combination of bi-phasic plus perfusion scan

Coronavirus disease 2019: initial chest CT findings

Classification of pulmonary lesion based on multiparametric MRI: utility of radiomics and comparison of machine learning methods

Validation of the PI-RADS language: predictive values of PI-RADS lexicon descriptors for detection of prostate cancer

MRI features and texture analysis for the early prediction of therapeutic response to neoadjuvant chemoradiotherapy and tumor recurrence of locally advanced rectal cancer

MRI staging of upper extremity secondary lymphedema: correlation with clinical measurements

Neu im Fachgebiet Radiologie

S3-Leitlinie zu Pankreaskrebs aktualisiert

Fünf Dinge, die im Kindernotfall besser zu unterlassen sind

„Nur wer sich gut aufgehoben fühlt, kann auch für Patientensicherheit sorgen“

Wie toxische Männlichkeit der Gesundheit von Männern schadet

Update Radiologie