HUSCAP logo Hokkaido Univ. logo

Hokkaido University Collection of Scholarly and Academic Papers >
Hokkaido University Hospital >
Peer-reviewed Journal Articles, etc >

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

Creative Commons License

Files in This Item:
17_mp.2016-0136.pdf2.81 MBPDFView/Open
Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/74024

Title: Utility of a Hybrid IVIM-DKI Model to Predict the Development of Distant Metastasis in Head and Neck Squamous Cell Carcinoma Patients
Authors: Fujima, Noriyuki Browse this author →KAKEN DB
Sakashita, Tomohiro Browse this author →KAKEN DB
Homma, Akihiro Browse this author →KAKEN DB
Yoshida, Daisuke Browse this author
Kudo, Kohsuke Browse this author →KAKEN DB
Shirato, Hiroki Browse this author →KAKEN DB
Keywords: diffusion-weighted imaging
intravoxel incoherent motion
diffusional kurtosis imaging
head and neck squamous cell carcinoma
Issue Date: 2018
Publisher: Japan Society of Magnetic Resonance in Medicine
Journal Title: Magnetic Resonance in Medical Sciences
Volume: 17
Issue: 1
Start Page: 21
End Page: 27
Publisher DOI: 10.2463/mrms.mp.2016-0136
PMID: 28515412
Abstract: Purpose: 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. Materials and Methods: 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 ROI placed on the primary lesion. The presence of future distant metastasis was determined by histological findings or clinical follow-up. Results: 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. Conclusion: 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.
Rights: https://creativecommons.org/licenses/by-nc-nd/4.0/
Type: article
URI: http://hdl.handle.net/2115/74024
Appears in Collections:北海道大学病院 (Hokkaido University Hospital) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 藤間 憲幸

Export metadata:

OAI-PMH ( junii2 , jpcoar )

MathJax is now OFF:


 

Feedback - Hokkaido University