Literature DB >> 24013848

Head and neck tumours: combined MRI assessment based on IVIM and TIC analyses for the differentiation of tumors of different histological types.

Misa Sumi1, Takashi Nakamura.   

Abstract

OBJECTIVES: We evaluated the combined use of intravoxel incoherent motion (IVIM) and time-signal intensity curve (TIC) analyses to diagnose head and neck tumours.
METHODS: We compared perfusion-related parameters (PP) and molecular diffusion values (D) determined from IVIM theory and TIC profiles among 92 tumours with different histologies.
RESULTS: IVIM parameters (f and D values) and TIC profiles in combination were distinct among the different types of head and neck tumours, including squamous cell carcinomas (SCCs), lymphomas, malignant salivary gland tumours, Warthin's tumours, pleomorphic adenomas and schwannomas. A multiparametric approach using both IVIM parameters and TIC profiles differentiated between benign and malignant tumours with 97 % accuracy and diagnosed different tumour types with 89 % accuracy.
CONCLUSIONS: Combined use of IVIM parameters and TIC profiles has high efficacy in diagnosing head and neck tumours. KEY POINTS: • Head and neck tumours have wide MR perfusion/diffusion properties. • Dynamic contrast-enhanced (DCE) MR imaging can characterise tumour perfusion (TIC analysis). • Intravoxel incoherent motion (IVIM) imaging can provide diffusion and perfusion properties. • However, IVIM or DCE imaging alone is insufficient for diagnosing head/neck tumours. • Multiparametric approach using both IVIM and TIC profiles can facilitate the diagnosis.

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Mesh:

Year:  2013        PMID: 24013848     DOI: 10.1007/s00330-013-3002-z

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  18 in total

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2.  Salivary gland tumors: use of intravoxel incoherent motion MR imaging for assessment of diffusion and perfusion for the differentiation of benign from malignant tumors.

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Journal:  Radiology       Date:  2012-03-23       Impact factor: 11.105

3.  Apparent diffusion coefficient mapping of salivary gland tumors: prediction of the benignancy and malignancy.

Authors:  S Eida; M Sumi; N Sakihama; H Takahashi; T Nakamura
Journal:  AJNR Am J Neuroradiol       Date:  2007-01       Impact factor: 3.825

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5.  Multiparametric MR imaging of sinonasal diseases: time-signal intensity curve- and apparent diffusion coefficient-based differentiation between benign and malignant lesions.

Authors:  M Sasaki; M Sumi; S Eida; Y Ichikawa; T Sumi; T Yamada; T Nakamura
Journal:  AJNR Am J Neuroradiol       Date:  2011-09-15       Impact factor: 3.825

6.  Multiparametric magnetic resonance imaging for the differentiation between benign and malignant salivary gland tumors.

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7.  Dynamic contrast-enhanced MR perfusion imaging of head and neck tumors at 3 Tesla.

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  37 in total

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4.  Perfusion and diffusion characteristics of cervical cancer based on intraxovel incoherent motion MR imaging-a pilot study.

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Review 5.  Benign neck masses showing restricted diffusion: Is there a histological basis for discordant behavior?

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8.  Magnetic resonance perfusion and diffusion characteristics of granulomatous diseases mimic those of malignant lesions: six case reports.

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Review 9.  Evaluation of Head and Neck Tumors with Functional MR Imaging.

Authors:  Jacobus F A Jansen; Carlos Parra; Yonggang Lu; Amita Shukla-Dave
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10.  Imaging biomarkers in the diagnosis of salivary gland tumors: the value of lesion/parenchyma ratio of perfusion-MR pharmacokinetic parameters.

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Journal:  Radiol Med       Date:  2021-06-28       Impact factor: 3.469

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