スギモト　コウヘイ   杉本　昂平    所属   川崎医療福祉大学  医療技術学部 診療放射線技術学科    職種   助教
論文種別	原著
言語種別	英語
査読の有無	査読あり
表題	Enhancing Diagnostic Precision: Evaluation of Preprocessing Filters in Simple Diffusion Kurtosis Imaging for Head and Neck Tumors.
掲載誌名	正式名：Journal of clinical medicine 略　 称：J Clin Med ISSNコード：20770383/20770383
掲載区分	国外
巻・号・頁	(6)
著者・共著者	Yuki Nakamitsu, Masahiro Kuroda, Yudai Shimizu, Kazuhiro Kuroda, Yuuki Yoshimura, Suzuka Yoshida, Yoshihide Nakamura, Yuka Fukumura, Ryo Kamizaki, Wlla E Al-Hammad, Masataka Oita, Yoshinori Tanabe, Kohei Sugimoto, Irfan Sugianto, Majd Barham, Nouha Tekiki, Junichi Asaumi
発行年月	2024/03
概要	Background: Our initial clinical study using simple diffusion kurtosis imaging (SDI), which simultaneously produces a diffusion kurtosis image (DKI) and an apparent diffusion coefficient map, confirmed the usefulness of SDI for tumor diagnosis. However, the obtained DKI had noticeable variability in the mean kurtosis (MK) values, which is inherent to SDI. We aimed to improve this variability in SDI by preprocessing with three different filters (Gaussian [G], median [M], and nonlocal mean) of the diffusion-weighted images used for SDI. Methods: The usefulness of filter parameters for diagnosis was examined in basic and clinical studies involving 13 patients with head and neck tumors. Results: The filter parameters, which did not change the median MK value, but reduced the variability and significantly homogenized the MK values in tumor and normal tissues in both basic and clinical studies, were identified. In the receiver operating characteristic curve analysis for distinguishing tumors from normal tissues using MK values, the area under curve values significantly improved from 0.627 without filters to 0.641 with G (σ = 0.5) and 0.638 with M (radius = 0.5). Conclusions: Thus, image pretreatment with G and M for SDI was shown to be useful for improving tumor diagnosis in clinical practice.
DOI	10.3390/jcm13061783
PMID	38542005