Differentiation of Benign From Malignant Sinonasal Masses Using Diffusion Weighted Imaging and Dynamic Contrast Enhanced Magnetic Resonance Imaging.

apparent diffusion coefficient benign diffusion-weighted dynamic contrast enhanced functional imaging magnetic resonance imaging malignant masses sinonasal time signal intensity

Journal

American journal of rhinology & allergy
ISSN: 1945-8932
Titre abrégé: Am J Rhinol Allergy
Pays: United States
ID NLM: 101490775

Informations de publication

Date de publication:
Mar 2022
Historique:
pubmed: 7 9 2021
medline: 4 2 2022
entrez: 6 9 2021
Statut: ppublish

Résumé

The sinonasal region is affected by a variety of neoplasms. A differentiation between benign and malignant masses is essential both for management and prognostication. Morphological analysis often does not allow this differentiation. This article aims to assess the value of advanced MRI (diffusion [DWI] and dynamic contrast enhanced MRI [DCE-MRI]) in differentiation of benign and malignant sinonasal masses. This prospective study included 40 patients with sinonasal masses who underwent advanced MR on 3T MR scanner. The lesions were analyzed based on morphological characteristics, qualitative, quantitative diffusion parameters, and time signal intensity curves. Apparent diffusion coefficient (ADC) values were acquired using Perineural extension and growth pattern of the tumor were the best morphological discriminators. Mean ADC values for benign and malignant lesions were 1.675  ±  0.561 and 0.903  ±  0.405  × 10 DWI has higher accuracy than DCE-MRI. Quantitative DWI is preferable over qualitative DWI. Accuracy of DCE-MRI can be increased by excluding vascular masses with characteristic imaging features. DWI and DCE-MRI have the highest accuracy when used in combination than either of them alone in differentiating benign from malignant sinonasal masses.

Sections du résumé

BACKGROUND BACKGROUND
The sinonasal region is affected by a variety of neoplasms. A differentiation between benign and malignant masses is essential both for management and prognostication. Morphological analysis often does not allow this differentiation.
OBJECTIVES OBJECTIVE
This article aims to assess the value of advanced MRI (diffusion [DWI] and dynamic contrast enhanced MRI [DCE-MRI]) in differentiation of benign and malignant sinonasal masses.
METHODS METHODS
This prospective study included 40 patients with sinonasal masses who underwent advanced MR on 3T MR scanner. The lesions were analyzed based on morphological characteristics, qualitative, quantitative diffusion parameters, and time signal intensity curves. Apparent diffusion coefficient (ADC) values were acquired using
RESULTS RESULTS
Perineural extension and growth pattern of the tumor were the best morphological discriminators. Mean ADC values for benign and malignant lesions were 1.675  ±  0.561 and 0.903  ±  0.405  × 10
CONCLUSION CONCLUSIONS
DWI has higher accuracy than DCE-MRI. Quantitative DWI is preferable over qualitative DWI. Accuracy of DCE-MRI can be increased by excluding vascular masses with characteristic imaging features. DWI and DCE-MRI have the highest accuracy when used in combination than either of them alone in differentiating benign from malignant sinonasal masses.

Identifiants

pubmed: 34486401
doi: 10.1177/19458924211040602
doi:

Substances chimiques

Contrast Media 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

207-215

Auteurs

Radhika Daga (R)

28862Department of Radiodiagnosis, Maulana Azad Medical College & Associated Hospitals, New Delhi, Delhi, India.

Jyoti Kumar (J)

28862Department of Radiodiagnosis, Maulana Azad Medical College & Associated Hospitals, New Delhi, Delhi, India.

Gaurav Pradhan (G)

28862Department of Radiodiagnosis, Maulana Azad Medical College & Associated Hospitals, New Delhi, Delhi, India.

Ravi Meher (R)

28862Department of Otorhinolaryngology Head and Neck Surgery, Maulana Azad Medical College & Associated Hospitals, New Delhi, Delhi, India.

Vikas Malhotra (V)

28862Department of Otorhinolaryngology Head and Neck Surgery, Maulana Azad Medical College & Associated Hospitals, New Delhi, Delhi, India.

Nita Khurana (N)

28862Department of Pathology, Maulana Azad Medical College & Associated Hospitals, New Delhi, Delhi, India.

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Classifications MeSH