INTESTINE Vol.7 No.2(1-1)

Theme Advanced colorectal cancer arisen from LST (laterally spreading tumor)
Title Clinicopathological significance of laterally spreading tumors (LST) invading middle third of submucosal layer into proper muscle layer as a contact point for advanced cancer originated in LST
Publish Date 2003/03
Author Fumio Ishida Digestive Disease Center, Showa University, Northern Yokohama Hospital
Author Toshinori Kurahashi Digestive Disease Center, Showa University, Northern Yokohama Hospital
Author Naoki Hasuo Digestive Disease Center, Showa University, Northern Yokohama Hospital
Author Masanori Sakashita Digestive Disease Center, Showa University, Northern Yokohama Hospital
Author Satoo Fukami Digestive Disease Center, Showa University, Northern Yokohama Hospital
Author Tsukasa Takeuchi Digestive Disease Center, Showa University, Northern Yokohama Hospital
Author Shungo Endo Digestive Disease Center, Showa University, Northern Yokohama Hospital
Author Yoshiro Tamegai Digestive Disease Center, Showa University, Northern Yokohama Hospital
Author Hiroshi Kashida Digestive Disease Center, Showa University, Northern Yokohama Hospital
Author Jun-ichi Tanaka Digestive Disease Center, Showa University, Northern Yokohama Hospital
Author Shin-ei Kudo Digestive Disease Center, Showa University, Northern Yokohama Hospital
[ Summary ] To clarify the characteristics of advanced cancer originated in laterally spreading tumors (LST), ten cases of LST invading the deeper middle third of the submucosal layer (sm2,3) into the proper muscle layer (mp) were selected from 127 LST cases for this study. Three cases of sm2,3 and three cases of mp out of 68 cases of the granular type (8.8%) and four cases of sm2,3 out of 59 cases of the non-granular type (6.8%) were investigated. It was suggested that in the granular type, invasion into the deeper layer might have occurred with nodular formation in large LST ranging from 20 to 70mm in diameter. The non-granular type appeared to present deep invasion with minimal change of features in smaller LST in size.
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