Gastric carcinoma

Ex vivo MR imaging at 7.0 T-correlation with histopathologic findings

Ichiro Yamada, Naoyuki Miyasaka, Keigo Hikishima, Keiji Kato, Kazuyuki Kojima, Tatsuyuki Kawano, Eisaku Ito, Daisuke Kobayashi, Yoshinobu Eishi, Hideyuki Okano

Research output: Contribution to journalArticle

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Abstract

Purpose: To determine the imaging detail and diagnostic information that can be obtained at 7.0-T magnetic resonance (MR) imaging with a voxel volume of 9.5-14.0 nL as a means of evaluating the depth of mural invasion by gastric carcinomas ex vivo. Materials and Methods: This study was approved by the institutional review board, and written informed consent was obtained from each patient. Twenty gastric specimens containing 20 carcinomas were studied with a 7.0-T MR imaging system equipped with a four-channel surface coil. MR images were obtained with a 50-60 × 25-30 mm field of view, a 512 × 256 matrix, and a 1.0-mm section thickness, resulting in a voxel volume of 0.0095-0.0140 mm<sup>3</sup> (9.5-14.0 nL). The signal intensity of the gastric wall layers, tumor tissue, and fibrosis was described as low, intermediate, or high by comparing it with the signal intensity of the muscularis propria. Depth of invasion initially was assessed by two reviewers independently and then by the two reviewers in consensus. MR images were compared with histopathologic findings. Results: The 7.0-T T2-weighted MR images clearly depicted the normal gastric wall in all 20 specimens (100%) as consisting of seven layers, which clearly corresponded to the tissue layers of the gastric wall. These MR images enabled clear differentiation between tumor tissue and fibrosis. Reviewers disagreed on the depth of invasion at the initial reading in three (15%) of 20 specimens (between mucosa and submucosa in two specimens and between muscularis propria and subserosa and serosa in one specimen); however, in all 20 gastric carcinomas, the depth of invasion could be accurately determined on T2-weighted images after consensus interpretation. Conclusion: Ex vivo 7.0-T MR imaging enables clear delineation of the gastric wall layers and clear differentiation of tumor tissue from fibrosis and allows one to assess the depth of mural invasion by gastric carcinomas.

Original languageEnglish
Pages (from-to)841-848
Number of pages8
JournalRadiology
Volume275
Issue number3
DOIs
Publication statusPublished - 2015 Jun 1

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Stomach
Magnetic Resonance Imaging
Carcinoma
Magnetic Resonance Spectroscopy
Fibrosis
Serous Membrane
Neoplasms
Research Ethics Committees
Diagnostic Imaging
Informed Consent
Reading
Mucous Membrane

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

Yamada, I., Miyasaka, N., Hikishima, K., Kato, K., Kojima, K., Kawano, T., ... Okano, H. (2015). Gastric carcinoma: Ex vivo MR imaging at 7.0 T-correlation with histopathologic findings. Radiology, 275(3), 841-848. https://doi.org/10.1148/radiol.14141878

Gastric carcinoma : Ex vivo MR imaging at 7.0 T-correlation with histopathologic findings. / Yamada, Ichiro; Miyasaka, Naoyuki; Hikishima, Keigo; Kato, Keiji; Kojima, Kazuyuki; Kawano, Tatsuyuki; Ito, Eisaku; Kobayashi, Daisuke; Eishi, Yoshinobu; Okano, Hideyuki.

In: Radiology, Vol. 275, No. 3, 01.06.2015, p. 841-848.

Research output: Contribution to journalArticle

Yamada, I, Miyasaka, N, Hikishima, K, Kato, K, Kojima, K, Kawano, T, Ito, E, Kobayashi, D, Eishi, Y & Okano, H 2015, 'Gastric carcinoma: Ex vivo MR imaging at 7.0 T-correlation with histopathologic findings', Radiology, vol. 275, no. 3, pp. 841-848. https://doi.org/10.1148/radiol.14141878
Yamada I, Miyasaka N, Hikishima K, Kato K, Kojima K, Kawano T et al. Gastric carcinoma: Ex vivo MR imaging at 7.0 T-correlation with histopathologic findings. Radiology. 2015 Jun 1;275(3):841-848. https://doi.org/10.1148/radiol.14141878
Yamada, Ichiro ; Miyasaka, Naoyuki ; Hikishima, Keigo ; Kato, Keiji ; Kojima, Kazuyuki ; Kawano, Tatsuyuki ; Ito, Eisaku ; Kobayashi, Daisuke ; Eishi, Yoshinobu ; Okano, Hideyuki. / Gastric carcinoma : Ex vivo MR imaging at 7.0 T-correlation with histopathologic findings. In: Radiology. 2015 ; Vol. 275, No. 3. pp. 841-848.
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abstract = "Purpose: To determine the imaging detail and diagnostic information that can be obtained at 7.0-T magnetic resonance (MR) imaging with a voxel volume of 9.5-14.0 nL as a means of evaluating the depth of mural invasion by gastric carcinomas ex vivo. Materials and Methods: This study was approved by the institutional review board, and written informed consent was obtained from each patient. Twenty gastric specimens containing 20 carcinomas were studied with a 7.0-T MR imaging system equipped with a four-channel surface coil. MR images were obtained with a 50-60 × 25-30 mm field of view, a 512 × 256 matrix, and a 1.0-mm section thickness, resulting in a voxel volume of 0.0095-0.0140 mm3 (9.5-14.0 nL). The signal intensity of the gastric wall layers, tumor tissue, and fibrosis was described as low, intermediate, or high by comparing it with the signal intensity of the muscularis propria. Depth of invasion initially was assessed by two reviewers independently and then by the two reviewers in consensus. MR images were compared with histopathologic findings. Results: The 7.0-T T2-weighted MR images clearly depicted the normal gastric wall in all 20 specimens (100{\%}) as consisting of seven layers, which clearly corresponded to the tissue layers of the gastric wall. These MR images enabled clear differentiation between tumor tissue and fibrosis. Reviewers disagreed on the depth of invasion at the initial reading in three (15{\%}) of 20 specimens (between mucosa and submucosa in two specimens and between muscularis propria and subserosa and serosa in one specimen); however, in all 20 gastric carcinomas, the depth of invasion could be accurately determined on T2-weighted images after consensus interpretation. Conclusion: Ex vivo 7.0-T MR imaging enables clear delineation of the gastric wall layers and clear differentiation of tumor tissue from fibrosis and allows one to assess the depth of mural invasion by gastric carcinomas.",
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AU - Kato, Keiji

AU - Kojima, Kazuyuki

AU - Kawano, Tatsuyuki

AU - Ito, Eisaku

AU - Kobayashi, Daisuke

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