Author
Listed:
- Jeung Hui Pyo
- Hyuk Lee
- Byung-Hoon Min
- Jun Haeng Lee
- Min Gew Choi
- Jun Ho Lee
- Tae Sung Sohn
- Jae Moon Bae
- Kyoung-Mee Kim
- Hyeon Seon Ahn
- Sin-Ho Jung
- Sung Kim
- Jae J Kim
Abstract
Background and Aim: Endoscopic submucosal dissection (ESD) for undifferentiated type early gastric cancer is regarded as an investigational treatment. Few studies have tried to identify the risk factors that predict lymph-node metastasis (LNM) in intramucosal poorly differentiated adenocarcinomas (PDC). This study was designed to develop a risk scoring system (RSS) for predicting LNM in intramucosal PDC. Methods: From January 2002 to July 2015, patients diagnosed with mucosa-confined PDC, among those who underwent curative gastrectomy with lymph node dissection were reviewed. A risk model based on independent predicting factors of LNM was developed, and its performance was internally validated using a split sample approach. Results: Overall, LNM was observed in 5.2% (61) of 1169 patients. Four risk factors [Female sex, tumor size ≥ 3.2 cm, muscularis mucosa (M3) invasion, and lymphatic-vascular involvement] were significantly associated with LNM, which were incorporated into the RSS. The area under the receiver operating characteristic curve for predicting LNM after internal validation was 0.69 [95% confidence interval (CI), 0.59–0.79]. A total score of 2 points corresponded to the optimal RSS threshold with a discrimination of 0.75 (95% CI 0.69–0.81). The LNM rates were 1.6% for low risk (
Suggested Citation
Jeung Hui Pyo & Hyuk Lee & Byung-Hoon Min & Jun Haeng Lee & Min Gew Choi & Jun Ho Lee & Tae Sung Sohn & Jae Moon Bae & Kyoung-Mee Kim & Hyeon Seon Ahn & Sin-Ho Jung & Sung Kim & Jae J Kim, 2016.
"A Risk Prediction Model Based on Lymph-Node Metastasis in Poorly Differentiated–Type Intramucosal Gastric Cancer,"
PLOS ONE, Public Library of Science, vol. 11(5), pages 1-11, May.
Handle:
RePEc:plo:pone00:0156207
DOI: 10.1371/journal.pone.0156207
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0156207. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.