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盆腔MRI联合SCC-Ag对宫颈癌淋巴结转移的预测价值
引用本文:巨宇叶,苏芮,王晓慧. 盆腔MRI联合SCC-Ag对宫颈癌淋巴结转移的预测价值[J]. 肿瘤防治研究, 2022, 49(5): 448-452. DOI: 10.3971/j.issn.1000-8578.2022.21.1106
作者姓名:巨宇叶  苏芮  王晓慧
作者单位:1. 730000 兰州,兰州大学第一临床医学院;2. 730000兰州,兰州大学第一医院妇产科
摘    要:目的 分析宫颈癌淋巴转移患者的临床病理特点,联合盆腔MRI淋巴增大情况及SCC-Ag对宫颈癌患者淋巴结转移情况进行评估,并分析其预测价值。方法 回顾性分析124例宫颈癌患者的资料,并根据结果建立预测模型。结果 间质浸润深度、治疗前后血清SCC-Ag变化值、盆腔MRI淋巴结增大情况、D2-40、Ki67是宫颈癌淋巴结转移的独立危险因素(P<0.05)。预测模型建立为:L=SCC-Ag变化值+7.127×盆腔MRI显示淋巴结增大+5.386×D2-40+5.135×间质浸润深度+19.457×Ki67;预测敏感度为78.6%,特异性为79.2%。结论 对于L≥20.8261的宫颈癌患者应提高警惕,给予个体化的新辅助治疗,并保证足够的手术范围。该模型对患者术前淋巴结转移具有一定的预测价值。

关 键 词:宫颈肿瘤  淋巴转移  鳞状上皮细胞癌抗原  磁共振成像  预测  
收稿时间:2021-09-28

Predictive Value of Pelvic MRI Combined with SCC-Ag on Lymphatic Metastasis in Cervical Cancer
JU Yuye,SU Rui,WANG Xiaohui. Predictive Value of Pelvic MRI Combined with SCC-Ag on Lymphatic Metastasis in Cervical Cancer[J]. Cancer Research on Prevention and Treatment, 2022, 49(5): 448-452. DOI: 10.3971/j.issn.1000-8578.2022.21.1106
Authors:JU Yuye  SU Rui  WANG Xiaohui
Affiliation:1. The First School of Clinical Medicine, Lanzhou University, Lanzhou 730000, China; 2. Department of Obstetrics and Gynecology, Lanzhou University First Hospital, Lanzhou 730000, China
Abstract:Objective To discuss the clinicopathological characteristics of cervical cancer patients with lymphatic metastasis, to evaluate lymph node metastasis in cervical cancer patients by combining pelvic MRI enlarged lymph nodes and SCC-Ag, and to analyze the prognostic value of the model. Methods We retrospectively analyzed the data of 124 patients with cervical cancer. The predictive model was established based on the result. Results The depth of interstitial infiltration, serum SCC-Ag change value before and after treatment, lymph node enlargement showed by pelvic MRI, D2-40 and Ki67 were independent risk factors for lymph node metastasis of cervical cancer (P<0.05). The prediction model of lymph node metastasis: L=the serum SCC-Ag change value+7.127×lymph node enlargement showed by pelvic MRI+5.386 ×D2-40+5.135×the depth of interstitial infiltration+19.457×Ki67; the sensitivity was 78.6% and specificity was 79.2%. Conclusion The cervical cancer patients with L≥20.8261 should be noticed. Doctors should give them individualized neoadjuvant treatment, and ensure adequate surgical scope. The above lymphatic prediction model has predictive value for preoperative lymph node metastasis.
Keywords:Cervical cancer  Lymphatic metastasis  Squamous cell carcinoma-related antigen  Magnetic resonance imaging  Predictive  
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