Detection of deep myometrial invasion in endometrial cancer MR imaging based on multi-feature fusion and probabilistic support vector machine ensemble

Author(s):  
Xueliang Zhu ◽  
Jie Ying ◽  
Haima Yang ◽  
Le Fu ◽  
Boyang Li ◽  
...  
2017 ◽  
Vol 27 (4) ◽  
pp. 748-753 ◽  
Author(s):  
Alper Karalok ◽  
Taner Turan ◽  
Derman Basaran ◽  
Osman Turkmen ◽  
Gunsu Comert Kimyon ◽  
...  

ObjectiveThe aim of this study was to evaluate the effectiveness of histological grade, depth of myometrial invasion, and tumor size to identify lymph node metastasis (LNM) in patients with endometrioid endometrial cancer (EC).MethodsA retrospective computerized database search was performed to identify patients who underwent comprehensive surgical staging for EC between January 1993 and December 2015. The inclusion criterion was endometrioid type EC limited to the uterine corpus. The associations between LNM and surgicopathological factors were evaluated by univariate and multivariate analyses.ResultsIn total, 368 patients were included. Fifty-five patients (14.9%) had LNM. Median tumor sizes were 4.5 cm (range, 0.7–13 cm) and 3.5 cm (range, 0.4–33.5 cm) in patients with and without LNM, respectively (P = 0.005). No LMN was detected in patients without myometrial invasion, whereas nodal spread was observed in 7.7% of patients with superficial myometrial invasion and in 22.6% of patients with deep myometrial invasion (P < 0.0001). Lymph node metastasis tended to be more frequent in patients with grade 3 disease compared with those with grade 1 or 2 disease (P = 0.131).ConclusionsThe risk of lymph node involvement was 30%, even in patients with the highest-risk uterine factors, that is, those who had tumors of greater than 2 cm, deep myometrial invasion, and grade 3 disease, indicating that 70% of these patients underwent unnecessary lymphatic dissection. A precise balance must be achieved between the desire to prevent unnecessary lymphadenectomy and the ability to diagnose LNM.


Oncotarget ◽  
2017 ◽  
Vol 8 (64) ◽  
pp. 108213-108222 ◽  
Author(s):  
Josef Chovanec ◽  
Iveta Selingerova ◽  
Kristina Greplova ◽  
Sofie Leisby Antonsen ◽  
Monika Nalezinska ◽  
...  

2019 ◽  
Vol 2019 (13) ◽  
pp. 215-218 ◽  
Author(s):  
Lihua Wang ◽  
Xiao-qiang Wu ◽  
Chunyou Zhang ◽  
Hongyan Shi

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