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Tumor Size at Magnetic Resonance Imaging Association With Lymph Node Metastasis and Lymphovascular Space Invasion in Resectable Cervical Cancer A Multicenter Evaluation of Surgical Specimens

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机构: [1]Department of Radiology, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China [2]Department of Radiology, Affiliated Hospital ofMedical School,University of Electronic Science and Technology of China, Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital [3]Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
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关键词: MRI Tumor size Cervical cancer Lymph node metastasis Lymphovascular space invasion

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Objective: To determine whether gross tumor volume (GTV) and the maximum diameter of resectable cervical cancer at magnetic resonance imaging (MRI) could predict lymph node metastasis (LNM) and lymphovascular space invasion (LVSI). Materials and Methods: A total of 315 consecutive patients with cervical cancer were retrospectively identified. Gross tumor volume and the maximum diameter of tumor were evaluated on MRI. Univariate and multivariate logistic regression analyses were performed to determine whether tumor size could predict LNM and LVSI. Cutoffs of GTV, maximum diameter, and the International Federation of Gynecology and Obstetrics (FIGO) classification of tumor were first investigated in 255 patients (group A) and then validated in an independent cohort of 60 patients (group B) using area under the receiver operating characteristic curve (AUC) analysis for predicting the presence of LNM and LVSI. Results: Univariate analysis showed that GTV and the maximum diameter of tumor could predict LNM and LVSI (all P < 0.0001). Multivariate analyses indicated GTV as an independent risk factor of LNM and LVSI (all P < 0.0001). In group A, GTV, the maximum diameter, and the FIGO stage could identify LNM (AUC, 0.813, 0.741, and 0.69, respectively) and LVSI (AUC, 0.806, 0.751, and 0.684, respectively). In group B, GTV, the maximum diameter, and the FIGO stage could help identify LNM (AUC, 0.902, 0.825, and 0.759, respectively) and LVSI (AUC, 0.771, 0.748, and 0.700, respectively). Conclusions: Gross tumor volume and the maximum diameter of resectable cervical cancer at MRI demonstrated capability in predicting LNM and LVSI, which were more accurate than FIGO stage.

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出版当年[2018]版:
大类 | 3 区 医学
小类 | 3 区 妇产科学 4 区 肿瘤学
最新[2023]版:
大类 | 2 区 医学
小类 | 3 区 妇产科学 3 区 肿瘤学
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出版当年[2018]版:
Q3 OBSTETRICS & GYNECOLOGY Q4 ONCOLOGY
最新[2023]版:
Q1 OBSTETRICS & GYNECOLOGY Q2 ONCOLOGY

影响因子: 最新[2023版] 最新五年平均 出版当年[2018版] 出版当年五年平均 出版前一年[2017版] 出版后一年[2019版]

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第一作者机构: [1]Department of Radiology, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China [*2]Department of Radiology, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610041, China.
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通讯机构: [1]Department of Radiology, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China [2]Department of Radiology, Affiliated Hospital ofMedical School,University of Electronic Science and Technology of China, Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital [*1]Department of Radiology, Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital, 32# Second Section of First Ring Road, Qingyang District, Chengdu, Sichuan 610070, China. [*2]Department of Radiology, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610041, China.
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