Texture analysis of routine T2 weighted fat-saturated images can identify head and neck paragangliomas - A pilot study

© 2020 The Author(s)..

PURPOSE: To evaluate the role of the first and second-order texture parameters obtained from T2-weighted fat-saturated DIXON images in differentiating paragangliomas from other neck masses, and to develop a statistical model to classify them.

METHOD: We retrospectively evaluated 38 paragangliomas, 18 nerve-sheath tumours and 14 other miscellaneous neck lesions obtained from an IRB approved study conducted between January 2016 and June 2019; using a composite gold standard of histopathology, cytology and DOTANOC PET CT (A total of 70 lesions in 63 patients). Fat-suppressed T2weighted-DIXON axial images were used. First and second-order texture-parameters were calculated from the original and filtered images. Feature selection using F-statistics and collinearity analysis provided 14 texture parameters for further analysis. Mann-Whitney-U test was used to compare between the groups and p-values were adjusted for multiple comparisons. ROC curve analysis was used to obtain optimal cut-offs.

RESULTS: A total of ten texture features were found to be significantly different between paragangliomas and non-paraganglioma lesions. Minimum from the histogram of grey levels was lower in paragangliomas with a cut off of ≤113.462 obtaining 62.9 % sensitivity and 77.27 % specificity in differentiating paragangliomas from non-paragangliomas. Logistic regression model was trained (n-49) using forward feature selection, which when evaluated on the validation set(n-21)- obtained an AUC of 0.855(95 %CI, 0.633 to 0.968) with a positive likelihood ratio of 4.545 (95 %CI, 1.298-15.923) in differentiating paragangliomas from non-paragangliomas.

CONCLUSION: Texture analysis of a routine imaging sequence can identify paragangliomas with high accuracy. Further development of texture analysis would enable better imaging workflow, resource utilisation and imaging cost reductions.

Medienart:

E-Artikel

Erscheinungsjahr:

2020

Erschienen:

2020

Enthalten in:

Zur Gesamtaufnahme - volume:7

Enthalten in:

European journal of radiology open - 7(2020) vom: 14., Seite 100248

Sprache:

Englisch

Beteiligte Personen:

Ghosh, Adarsh [VerfasserIn]
Malla, Soumya Ranjan [VerfasserIn]
Bhalla, Ashu Seith [VerfasserIn]
Manchanda, Smita [VerfasserIn]
Kandasamy, Devasenathipathy [VerfasserIn]
Kumar, Rakesh [VerfasserIn]

Links:

Volltext

Themen:

AUC, area under the curve
FDG-PET, fluorodeoxy-glucose positron emission tomography
GLCM, grey level co-occurrence matrix
Head neck
ID, inverse difference
IDM, inverse difference moment
IDMN, inverse difference moment normalized
IDN, inverse difference normalized
IMC1, informational measure of correlation 1
IMC2, informational measure of correlation 2
Journal Article
LoG, laplacian of gaussian
MCC, maximal correlation coefficient
NST, nerve sheath tumour
Nerve sheath tumour
Paraganglioma
ROC, receiver operator characteristics
Radiomics
Schwannoma
Texture analysis

Anmerkungen:

Date Revised 17.04.2022

published: Electronic-eCollection

Citation Status PubMed-not-MEDLINE

doi:

10.1016/j.ejro.2020.100248

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM315551623