Literature DB >> 24654973

Esophageal carcinoma: ex vivo evaluation with diffusion-tensor MR imaging and tractography at 7 T.

Ichiro Yamada1, Keigo Hikishima, Naoyuki Miyasaka, Tatsuyuki Kawano, Yutaka Tokairin, Eisaku Ito, Daisuke Kobayashi, Yoshinobu Eishi, Hideyuki Okano.   

Abstract

PURPOSE: To determine the feasibility of diffusion-tensor magnetic resonance (MR) imaging and tractography as a means of evaluating the depth of mural invasion by esophageal carcinomas.
MATERIALS AND METHODS: This study was approved by the institutional review board, and written informed consent was obtained from each patient. Twenty esophageal specimens, each containing a carcinoma, were studied with a 7.0-T MR imaging system equipped with a four-channel phased-array surface coil. Diffusion-tensor MR images were obtained with a field of view of 50-60 mm × 25-30 mm, matrix of 256 × 128, section thickness of 1 mm, b value of 1000 sec/mm(2), and motion-probing gradient in seven noncollinear directions. The MR images were compared with the histopathologic findings as the reference standard. The differences in diffusion-tensor MR imaging parameters between the carcinoma and the layers of the esophageal wall were statistically analyzed by using the Dunnett test.
RESULTS: In all 20 carcinomas (100%), the diffusion-weighted images, apparent diffusion coefficient (ADC) maps, fractional anisotropy (FA) maps, λ1 maps, and direction-encoded color FA maps made it possible to determine the depth of tumor invasion of the esophageal wall that was observed during histopathologic examination. The λ1 maps showed the best contrast between the carcinomas and the layers of the esophageal wall. The carcinomas had both lower ADC values and lower FA values than the normal esophageal wall; thus, the carcinomas were clearly demarcated from the normal esophageal wall. Diffusion-tensor tractography images were also useful for determining the depth of tumor invasion of the esophageal wall.
CONCLUSION: Diffusion-tensor MR imaging and tractography are feasible in esophageal specimens and provide excellent morphologic data for the evaluation of mural invasion by esophageal carcinomas. © RSNA, 2014.

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Year:  2014        PMID: 24654973     DOI: 10.1148/radiol.14132170

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  5 in total

Review 1.  Limitations and Prospects for Diffusion-Weighted MRI of the Prostate.

Authors:  Roger Bourne; Eleftheria Panagiotaki
Journal:  Diagnostics (Basel)       Date:  2016-05-27

2.  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

3.  Evaluation of tongue squamous cell carcinoma resection margins using ex-vivo MR.

Authors:  Stefan C A Steens; Elise M Bekers; Willem L J Weijs; Geert J S Litjens; Andor Veltien; Arie Maat; Guido B van den Broek; Jeroen A W M van der Laak; Jürgen J Fütterer; Christina A Hulsbergen van der Kaa; Matthias A W Merkx; Robert P Takes
Journal:  Int J Comput Assist Radiol Surg       Date:  2017-01-27       Impact factor: 2.924

4.  Intravoxel Incoherent Motion Model in Differentiating the Pathological Grades of Esophageal Carcinoma: Comparison of Mono-Exponential and Bi-Exponential Fit Model.

Authors:  Nian Liu; Xiongxiong Yang; Lixing Lei; Ke Pan; Qianqian Liu; Xiaohua Huang
Journal:  Front Oncol       Date:  2021-04-12       Impact factor: 6.244

Review 5.  The Role of Magnetic Resonance Imaging in the Management of Esophageal Cancer.

Authors:  Anna Pellat; Anthony Dohan; Philippe Soyer; Julie Veziant; Romain Coriat; Maximilien Barret
Journal:  Cancers (Basel)       Date:  2022-02-23       Impact factor: 6.639

  5 in total

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