Literature DB >> 26332305

q-space MR imaging of gastric carcinoma ex vivo: Correlation with histopathologic findings.

Ichiro Yamada1, Keigo Hikishima2,3, Naoyuki Miyasaka4, Keiji Kato5, Eisaku Ito6, Kazuyuki Kojima5, Tatsuyuki Kawano7, Daisuke Kobayashi6, Yoshinobu Eishi6, Hideyuki Okano2.   

Abstract

PURPOSE: The purpose of this study was to establish the feasibility of q-space imaging (QSI) as a method of assessing the depth of mural invasion, histologic grade, and the presence of lymph node metastasis in gastric carcinomas.
METHODS: A 7.0 Tesla MR imaging system was used to investigate 20 gastric specimens containing a carcinoma. QSI was performed by using the following parameters: 50-60 mm × 25-30 mm field of view, 2-mm section thickness, 256 × 128 matrix, 10 b values in the 0-7163 s/mm(2) range, which corresponded to q values of 0-1026/cm, and motion-probing gradients perpendicular to the gastric wall. The MR images and the histopathologic findings were then compared.
RESULTS: The depth of tumor invasion of the gastric wall in all 20 carcinomas (100%) was established by using mean displacement, zero-displacement probability, and kurtosis maps. The QSI parameters were significantly correlated with the histologic grades of the gastric carcinomas (all P < 0.001). The QSI parameters made it possible to differentiate between metastatic and nonmetastatic lymph nodes (all P = 0.001).
CONCLUSION: Ex vivo QSI facilitates excellent diagnostics for evaluating gastric carcinomas in terms of mural invasion, histologic grade, and the presence of lymph node metastasis. Magn Reson Med 76:602-612, 2016.
© 2015 Wiley Periodicals, Inc. © 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  MR imaging; diffusion-weighted imaging; gastric carcinoma; q-space imaging; stomach

Mesh:

Year:  2015        PMID: 26332305     DOI: 10.1002/mrm.25905

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  3 in total

1.  Oesophageal carcinoma: comparison of ex vivo high-resolution 3.0 T MR imaging with histopathological findings.

Authors:  Yi Wei; Sen Wu; Dapeng Shi; Shewei Dou; Tingyi Sun; Peigang Ning; Cuihua Zhao; Ziyuan Li; Xiaodong Li; Feifei Gao; Linlin Li; Dandan Zheng; Shaocheng Zhu
Journal:  Sci Rep       Date:  2016-10-11       Impact factor: 4.379

2.  Noninvasive technique to evaluate the muscle fiber characteristics using q-space imaging.

Authors:  Junichi Hata; Daisuke Nakashima; Osahiko Tsuji; Kanehiro Fujiyoshi; Kaori Yasutake; Yasushi Sera; Yuji Komaki; Keigo Hikishima; Takeo Nagura; Morio Matsumoto; Hideyuki Okano; Masaya Nakamura
Journal:  PLoS One       Date:  2019-04-04       Impact factor: 3.240

3.  Detecting Mild Lower-limb Skeletal Muscle Fatigue with Stimulated-echo q-space Imaging.

Authors:  Daisuke Nakashima; Junichi Hata; Yoshifumi Sone; Katsuya Maruyama; Thorsten Feiweier; James Hirotaka Okano; Morio Matsumoto; Masaya Nakamura; Takeo Nagura
Journal:  Magn Reson Med Sci       Date:  2020-12-18       Impact factor: 2.471

  3 in total

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