Evaluation of the Adequacy of Lymph Node Dissection in Pylorus-Preserving Gastrectomy for Early Gastric Cancer Using the Maruyama Index View Full Text


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Article Info

DATE

2010-02

AUTHORS

Moon-Won Yoo, Do Joong Park, Hye Seong Ahn, Sang-Ho Jeong, Hyuk-Joon Lee, Woo Ho Kim, Hyung-Ho Kim, Kuhn Uk Lee, Han-Kwang Yang

ABSTRACT

BACKGROUND: The Maruyama computer program predicts the percentage likelihood of disease in lymph node stations left undissected by a surgeon, according to the age and sex of the patient and the gross type, size, location, depth of invasion, and histology of the tumor. The Maruyama index (MI) is defined as the sum of the predictions of the percentage likelihood of disease in undissected regional lymph node station (station 1-12). It has been shown that an MI < 5 is a strong predictor of survival and that the MI is an independent predictor of overall survival and relapse risk. We used the MI to evaluate the adequacy of lymph nodes dissection in pylorus-preserving gastrectomy (PPG) for early gastric cancer (EGC) performed at Seoul National University Hospital. METHODS: From March 2003 to September 2007, PPG was performed for patients with EGC of the middle third of the stomach when the distal resection margin was greater than 2 cm and preservation of 3 cm antral segment was possible. MIs and pathologic data such as TNM stage and the presence of metastatic lymph node for each station were reviewed. RESULTS: PPG were performed on 24 patients. The mean age of the patients was 55 years. The median tumor size was 2.1 cm. The median and mean MI were 0 and 0.8, respectively. There were 23 cases of T1N0M0 tumor and one case of T2N0M0 tumor postoperatively. There were no recurrences (mean follow-up period: 27.2 months). CONCLUSIONS: The MI indicates that lymph node dissection during PPG performed in these 24 patients was adequate. More... »

PAGES

291-295

References to SciGraph publications

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00268-009-0318-6

    DOI

    http://dx.doi.org/10.1007/s00268-009-0318-6

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1038905643

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/20012611


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