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Utility of a Hybrid IVIM-DKI Model to Predict the Development of Distant Metastasis in Head and Neck Squamous Cell Carcinoma Patients

Overview of attention for article published in Magnetic resonance in medical sciences MRMS an official journal of Japan Society of Magnetic Resonance in Medicine, May 2017
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Article details
Title
Utility of a Hybrid IVIM-DKI Model to Predict the Development of Distant Metastasis in Head and Neck Squamous Cell Carcinoma Patients
Published in
Magnetic resonance in medical sciences MRMS an official journal of Japan Society of Magnetic Resonance in Medicine, May 2017
DOI 10.2463/mrms.mp.2016-0136
Pubmed ID
Authors
Abstract

To evaluate the diagnostic power of hybrid intravoxel incoherent motion (IVIM)-diffusion kurtosis imaging (DKI) model parameters in pretreatment for the prediction of future distant metastasis in head and neck squamous cell carcinoma (HNSCC) patients. We retrospectively evaluated 49 HNSCC patients who underwent curative chemoradiation therapy. Diffusion-weighted image (DWI) acquired by single-shot spin-echo echo-planar imaging with 12 b-values (0-2000) was performed in all patients before any treatment. We calculated the IVIM-DKI parameters and the conventional apparent diffusion coefficient (ADC) in the region of interest (ROI) placed on the primary lesion. The presence of future distant metastasis was determined by histological findings or clinical follow-up. A univariate analysis revealed significant differences between the patients with distant metastasis and those without in slow diffusion coefficient (D) and kurtosis value (K). Highest diagnostic accuracy was obtained by the D value. In addition, a multivariate analysis revealed that the D value was an independent predictor of future distant metastasis. The D and K values obtained by this hybrid IVIM-DKI model can be one of the diagnostic tools for the prediction of future distant metastasis in HNSCC patients.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 6 38%
Other 2 13%
Researcher 2 13%
Student > Bachelor 1 6%
Student > Master 1 6%
Other 0 0%
Unknown 4 25%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 6 38%
Mathematics 1 6%
Computer Science 1 6%
Physics and Astronomy 1 6%
Engineering 1 6%
Other 0 0%
Unknown 6 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 May 2017.
All research outputs
#31,228,352
of 34,411,289 outputs
Outputs from Magnetic resonance in medical sciences MRMS an official journal of Japan Society of Magnetic Resonance in Medicine
#484
of 515 outputs
Outputs of similar age
#323,140
of 360,890 outputs
Outputs of similar age from Magnetic resonance in medical sciences MRMS an official journal of Japan Society of Magnetic Resonance in Medicine
#4
of 5 outputs
Altmetric has tracked 34,411,289 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 515 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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