Literature DB >> 25017814

New enhanced and effective method for staging cancer to detect lymph nodes after fat-dissociation.

Shiki Fujino1, Norikatsu Miyoshi1, Masayuki Ohue1, Shingo Noura1, Yasuhiko Tomita2, Masahiko Yano1, Masato Sakon1.   

Abstract

Pathologic staging is a key factor in the treatment and outcome of cancer patients, and lymph node status plays a pivotal role in this staging process. Several methods of lymph node assessment, such as the fat clearance, Schwartz solution and GEWF solution, are unpopular as they require a significant amount of time (1‑9 days) to clear the fat of the resected mesentery and to visualize the lymph nodes. In the present study, we discussed a more simple and effective method, called the fat‑dissociation method, which clears the fat using enzymes and allows for easy identification of lymph nodes around vessels. This new procedure facilitates precise staging of cancer which directs the post-operative treatment plan.

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Year:  2014        PMID: 25017814     DOI: 10.3892/or.2014.3315

Source DB:  PubMed          Journal:  Oncol Rep        ISSN: 1021-335X            Impact factor:   3.906


  3 in total

1.  Lymph node retrieval after dissolution of surrounding adipose tissue for pathological examination of colorectal cancer.

Authors:  Hiromichi Maeda; Ken Okamoto; Koji Oba; Mai Shiga; Yuki Fujieda; Tsutomu Namikawa; Makoto Hiroi; Ichiro Murakami; Kazuhiro Hanazaki; Michiya Kobayashi
Journal:  Oncol Lett       Date:  2017-12-14       Impact factor: 2.967

2.  Using low concentration sodium hypochlorite to improve colorectal surgical specimen lymph node harvest.

Authors:  Nanrong Yu; Haiying Liu; Jianchang Li; Shicai Chen
Journal:  Mol Clin Oncol       Date:  2020-03-19

3.  A new fat-dissociation method to detect lymph nodes in colorectal cancer: a prospective randomized study.

Authors:  Shiki Fujino; Norikatsu Miyoshi; Masayuki Ohue; Aya Ito; Masayoshi Yasui; Takayuki Ogino; Hidekazu Takahashi; Mamoru Uemura; Chu Matsuda; Hirofumi Yamamoto; Tsunekazu Mizushima; Yuichiro Doki; Hidetoshi Eguchi; Nariaki Matsuura
Journal:  Sci Rep       Date:  2020-11-19       Impact factor: 4.379

  3 in total

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