Preoperative predictive model for the probability of lymph node metastasis in gastric cancer: a retrospective study

The established PPM may be an effective technique for predicting the LNM status of patients preoperatively. This model can better diagnose LNM than CT-reported LN status alone, this model is better able to diagnose LNM.

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Publication Details

Journal
Frontiers in Oncology
Published
2024-09-27
DOI
https://doi.org/10.3389/fonc.2024.1473423
Primary Topic
Gastric Cancer Management and Outcomes
Type
article
Field-Weighted Citation Impact
0.00
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article

Preoperative predictive model for the probability of lymph node metastasis in gastric cancer: a retrospective study

Fei Teng, Handong Sun, Qian Zhu, Yibing Shi et al.
Frontiers in Oncology
Gastric Cancer Management and Outcomes
article

Preoperative predictive model for the probability of lymph node metastasis in gastric cancer: a retrospective study

Fei Teng, Handong Sun, Qian Zhu, Yibing Shi, Xi-Lang Zhou
article en

Abstract

The established PPM may be an effective technique for predicting the LNM status of patients preoperatively. This model can better diagnose LNM than CT-reported LN status alone, this model is better able to diagnose LNM.

Frontiers in OncologyVol. 14
Xuzhou Central Hospital (CN), Ningbo University Affiliated Hospital (CN), Ningbo First Hospital (CN)
Good health and well-being
Openalex Percentile: Top 69%
Gastric Cancer Management and Outcomes
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Preoperative predictive model for the probability of lymph node metastasis in gastric cancer: a retrospective study — Fei Teng, Handong Sun, et al. · Frontiers in Oncology (2024) | TGRS Research Map | TGRS