Apparent Diffusion Coefficient (ADC) Histogram Analysis in Parotid Gland Tumors: Evaluating a Novel Approach for Differentiation between Benign and Malignant Parotid Lesions Based on Full Histogram Distributions.
apparent diffusion coefficient
cross-validation techniques
head and neck MRI
histogram analysis
multimodal imaging
parotid gland tumor
Journal
Diagnostics (Basel, Switzerland)
ISSN: 2075-4418
Titre abrégé: Diagnostics (Basel)
Pays: Switzerland
ID NLM: 101658402
Informations de publication
Date de publication:
01 Aug 2022
01 Aug 2022
Historique:
received:
06
07
2022
revised:
24
07
2022
accepted:
25
07
2022
entrez:
26
8
2022
pubmed:
27
8
2022
medline:
27
8
2022
Statut:
epublish
Résumé
The aim of this study was to assess the diagnostic value of ADC distribution curves for differentiation between benign and malignant parotid gland tumors and to compare with mean ADC values. 73 patients with parotid gland tumors underwent head-and-neck MRI on a 1.5 Tesla scanner prior to surgery and histograms of ADC values were extracted. Histopathological results served as a reference standard for further analysis. ADC histograms were evaluated by comparing their similarity to a reference distribution using Chi
Identifiants
pubmed: 36010211
pii: diagnostics12081860
doi: 10.3390/diagnostics12081860
pmc: PMC9406314
pii:
doi:
Types de publication
Journal Article
Langues
eng
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