Measurement of tumor volume is not superior to diameter for prediction of lymph node metastasis in early gastric cancer with minute submucosal invasion
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Jeung Hui Pyo1,*, Sun-Ju Byeon2,*, Hyuk Lee3, Yang Won Min3, Byung-Hoon Min3, Jun Haeng Lee3, Kyoung-Mee Kim2, Hyeon Seon Ahn4, Kyunga Kim4, Yoon-Ho Choi1 and Jae J. Kim2
1Center for Health Promotion, Samsung Medical Center, Seoul, Korea
2Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
3Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
4Statistics and Data Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, Korea
*These authors contributed equally to this work
Hyuk Lee, email: [email protected]
Keywords: tumor diameter; tumor volume; lymph node metastasis; early gastric cancer; endoscopic resection
Received: August 23, 2017 Accepted: November 13, 2017 Published: December 04, 2017
Background/Aim: The current indication for endoscopic resection in early gastric cancer (EGC) with minute (< 500 μm) submucosal invasion is based on tumor diameter, which may be insufficient to predict lymph node metastasis (LNM). We investigated whether tumor volume might more accurately predict LNM in EGC with minute submucosal invasion.
Materials and Methods: Among patients who underwent gastrectomy for gastric cancer, 346 with well/moderately differentiated EGC with submucosal invasion <500 μm were evaluated. Three-dimensional tumor volume was calculated using an endoscopically resected specimen and compared with 1-dimensional tumor diameter. Predictive ability of tumor diameter or volume for LNM was evaluated using receiver operating characteristic curve analysis.
Results: Tumor diameter and volume predicted LNM with an area under the curve (AUC) of 0.567 and 0.589, respectively. AUC, sensitivity, specificity, positive and negative predictive values, and accuracy of the 2 models were not significantly different. Tumor diameter ≥ 3 cm showed a significant association with LNM (odds ratio [OR], 2.57; 95% confidence interval [CI], 1.01–6.57; P = 0.049), whereas a tumor volume cutoff value of 752.8 cm3 showed no significant association with LNM (OR, 1.52; 95% CI, 0.59–3.88; P = 0.385).
Conclusions: Tumor volume had no advantage over diameter for predicting LNM in well/moderately differentiated EGC with minute submucosal invasion.
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