Application of non-Gaussian water diffusional kurtosis imaging in the assessment of uterine tumors: A preliminary study

被引:6
作者
Dia, Aliou Amadou [1 ]
Hori, Masatoshi [1 ]
Onishi, Hiromitsu [1 ]
Sakane, Makoto [1 ]
Ota, Takashi [1 ]
Tsuboyama, Takahiro [1 ]
Tatsumi, Mitsuaki [2 ]
Okuaki, Tomoyuki [3 ]
Tomiyama, Noriyuki [1 ]
机构
[1] Osaka Univ, Grad Sch Med, Dept Diagnost & Intervent Radiol, Suita, Osaka, Japan
[2] Osaka Univ Hosp, Dept Radiol, Suita, Osaka, Japan
[3] Philips Healthcare, Tokyo, Japan
来源
PLOS ONE | 2017年 / 12卷 / 11期
关键词
TENSOR; MRI; FEASIBILITY; GRADE; MODEL;
D O I
10.1371/journal.pone.0188434
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Objectives To evaluate the interobserver reliability and value of diffusional kurtosis imaging (DKI) in the assessment of uterine tumors compared with those of conventional diffusion-weighted imaging (DWI). Methods This retrospective study was approved by our institutional review board, which waived the requirement for informed consent. Fifty-eight women (mean age: 55.0 +/- 13.6 years; range: 30-89 years) with suspected malignant uterine tumors underwent 3-T magnetic resonance imaging using DKI and DWI. Twelve had coexisting leiomyoma. Two observers analyzed region-of-interest measurements of diffusivity (D), kurtosis (K), and the apparent diffusion coefficient (ADC) of uterine lesions and healthy adjacent tissues. Interobserver agreement was evaluated using the intra-class correlation coefficient (ICC). The mean values were compared using one-way analysis of variance with a post-hoc Tukeys honestly significant difference test. The diagnostic accuracy of D and ADC in differentiating malignant tumors from benign leiomyomas was analyzed using receiver operating characteristic (ROC) analysis. Results The ICCs between the two observers in evaluating D, K, and the ADC of the malignant tumors were higher than 0.84, suggesting excellent interobserver agreements. The mean D (X10-3 mm2/s) of uterine cancers (1.05 +/- 0.41 and 1.09 +/- 0.40 for observers 1 and 2, respectively) were significantly lower than those of leiomyoma (1.40 +/- 0.37 and 1.56 +/- 0.33, respectively; P < 0.05), healthy myometrium (1.72 +/- 0.27 and 1.69 +/- 0.30, respectively; P < 0.001), and healthy endometrium (1.53 +/- 0.35 and 1.42 +/- 0.37, respectively; P < 0.005). There was no significant difference in the area under the ROC curve between D and ADC. The mean K of uterine cancers (0.88 +/- 0.28 and 0.90 +/- 0.23, respectively) were higher than those of myometrium (0.72 +/- 0.10 and 0.73 +/- 0.10, respectively; P < 0.001), healthy endometrium (0.65 +/- 0.13 and 0.60 +/- 0.18, respectively; P < 0.001), and leiomyoma (0.76 +/- 0.14 and 0.77 +/- 0.16, respectively; not significant, P > 0.1). Conclusions Interobserver agreements in evaluating D, K, and ADC were moderate to excellent. D performed equally to conventional DWI in differentiating between benign and malignant uterine lesions. The mean K of malignant uterine lesions was significantly higher than that of non-tumorous myometrium or endometrium.
引用
收藏
页数:13
相关论文
共 31 条
  • [1] Diffusion-weighted imaging in the assessment of tumour grade in endometrial cancer
    Bharwani, N.
    Miquel, M. E.
    Sahdev, A.
    Narayanan, P.
    Malietzis, G.
    Reznek, R. H.
    Rockall, A. G.
    [J]. BRITISH JOURNAL OF RADIOLOGY, 2011, 84 (1007) : 997 - 1004
  • [2] The utility of diffusion-weighted MR imaging in cervical cancer
    Chen Jianyu
    Zhang Yun
    Liang Biling
    Yang Zehong
    [J]. EUROPEAN JOURNAL OF RADIOLOGY, 2010, 74 (03) : E102 - E107
  • [3] Gynecologic cancer disparities: A report from the Health Disparities Taskforce of the Society of Gynecologic Oncology
    Collins, Yvonne
    Holcomb, Kevin
    Chapman-Davis, Eloise
    Khabele, Dineo
    Farley, John H.
    [J]. GYNECOLOGIC ONCOLOGY, 2014, 133 (02) : 353 - 361
  • [4] Non-Gaussian diffusion imaging: a brief practical review
    De Santis, Silvia
    Gabrielli, Andrea
    Palombo, Marco
    Maraviglia, Bruno
    Capuani, Silvia
    [J]. MAGNETIC RESONANCE IMAGING, 2011, 29 (10) : 1410 - 1416
  • [5] White matter characterization with diffusional kurtosis imaging
    Fieremans, Els
    Jensen, Jens H.
    Helpern, Joseph A.
    [J]. NEUROIMAGE, 2011, 58 (01) : 177 - 188
  • [6] In vivo assessment of white matter damage in neuromyelitis optica: A diffusion tensor and diffusion kurtosis MR imaging study
    Goncalves Kimura, Margareth Cristina
    Doring, Thomas Martin
    Rueda, Fernanda Cristina
    Tukamoto, Gustavo
    Gasparetto, Emerson Leandro
    [J]. JOURNAL OF THE NEUROLOGICAL SCIENCES, 2014, 345 (1-2) : 172 - 175
  • [7] Endometrial cancer: preoperative staging using three-dimensional T2-weighted turbo spin-echo and diffusion-weighted MR imaging at 3.0 T: a prospective comparative study
    Hori, Masatoshi
    Kim, Tonsok
    Onishi, Hiromitsu
    Imaoka, Izumi
    Kagawa, Yuki
    Murakami, Takamichi
    Nakamoto, Atsushi
    Ueguchi, Takashi
    Tatsumi, Mitsuaki
    Enomoto, Takayuki
    Kimura, Tadashi
    Tomiyama, Noriyuki
    [J]. EUROPEAN RADIOLOGY, 2013, 23 (08) : 2296 - 2305
  • [8] Jemal A, 2009, CA-CANCER J CLIN, V59, P225, DOI [10.3322/caac.20006, 10.3322/caac.21254, 10.3322/caac.21332, 10.3322/caac.21551, 10.3322/caac.20073, 10.3322/caac.21387, 10.3322/caac.21654, 10.3322/caac.21601]
  • [9] Diffusional kurtosis imaging: The quantification of non-Gaussian water diffusion by means of magnetic resonance imaging
    Jensen, JH
    Helpern, JA
    Ramani, A
    Lu, HZ
    Kaczynski, K
    [J]. MAGNETIC RESONANCE IN MEDICINE, 2005, 53 (06) : 1432 - 1440
  • [10] A preliminary diffusional kurtosis imaging study of Parkinson disease: comparison with conventional diffusion tensor imaging
    Kamagata, Koji
    Tomiyama, Hiroyuki
    Hatano, Taku
    Motoi, Yumiko
    Abe, Osamu
    Shimoji, Keigo
    Kamiya, Kouhei
    Suzuki, Michimasa
    Hori, Masaaki
    Yoshida, Mariko
    Hattori, Nobutaka
    Aoki, Shigeki
    [J]. NEURORADIOLOGY, 2014, 56 (03) : 251 - 258