2022
DOI: 10.3389/fonc.2022.881850
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Association of Tumor Size With Myometrial Invasion, Lymphovascular Space Invasion, Lymph Node Metastasis, and Recurrence in Endometrial Cancer: A Meta-Analysis of 40 Studies With 53,276 Patients

Abstract: BackgroundMyometrial invasion (MI), lymphovascular space invasion (LVSI), and lymph node metastasis (LNM) have been found to have independent prognostic factors in endometrial cancer. Tumor size has practical advantages in endometrial cancer. The cutoff values for tumor size conformed with current literature. More and more studies inferred that tumor size >20 mm showed a strong correlation. However, the relationship between tumor size >20 mm and MI, LVSI, LNM, recurrence, and overall survival (OS… Show more

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Cited by 10 publications
(5 citation statements)
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“…We found that the maximum tumor diameter significantly differed between risk groups, echoing previous findings that larger tumor sizes are associated with poorer prognoses [35,36]. The invasive features prevalent in the non-low-risk groups align with the findings of other studies, such as those of Maria Ali et al and Stephanie Nougaret et al, which linked tumor size to lymph node metastasis and myometrial invasion depth, respectively [37,38].…”
Section: Discussionsupporting
confidence: 89%
“…We found that the maximum tumor diameter significantly differed between risk groups, echoing previous findings that larger tumor sizes are associated with poorer prognoses [35,36]. The invasive features prevalent in the non-low-risk groups align with the findings of other studies, such as those of Maria Ali et al and Stephanie Nougaret et al, which linked tumor size to lymph node metastasis and myometrial invasion depth, respectively [37,38].…”
Section: Discussionsupporting
confidence: 89%
“…While myometrial invasion, tumor grade, and lymph node metastasis are recognized as individual prognostic factors in endometrial cancer, tumor size holds practical utility in predicting the prognosis of this cancer. The established cutoff values for tumor size align with existing literature, and an increasing body of research suggests a robust correlation with tumor sizes exceeding 20 mm (Jin et al, 2022). Among the machine learning methods used in this study for tumor size classification, XGBoost is the model with the highest performance metrics with accuracy (91.8%), sensitivity (100%), specificity (79.2%), F1-Score (93.7%), and AUC (94.8%).…”
Section: Protein Biomarker For Tumor Size (Microscopic-macroscopic) V...supporting
confidence: 77%
“…In our previous study of 703 patients treated at the same institution from 2008 to 2018, the same low frequency of tumors smaller than 2.0 cm was observed (i.e., 13.7 cm A similarly small proportion of endometrial tumors with diameters <2.0 cm was observed in a sample of 703 patients treated at the same institution from 2008 to 2018 (mean tumor diameter, 13.7 cm) [ 46 ]. This cut-off is critical for the application of more conservative surgical approaches and has been shown to have a prognostic impact [ [47] , [48] , [49] ].…”
Section: Discussionmentioning
confidence: 99%