A Predictive Model for Tumor Invasion of the Inferior Vena Cava Wall Using Multimodal Imaging in Patients with Renal Cell Carcinoma and Inferior Vena Cava Tumor Thrombus.
A Predictive Model for Tumor Invasion of the Inferior Vena Cava Wall Using Multimodal Imaging in Patients with Renal Cell Carcinoma and Inferior Vena Cava Tumor Thrombus.
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使用多模态成像预测肾细胞癌和下腔静脉癌栓患者下腔静脉壁肿瘤侵袭的预测模型
DOI：
10.1155/2020/9530618
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发表时间：
2020
影响因子：
--
通讯作者：
Wang S
中科院分区：
文献类型：
--
作者：
Liu Z;Li L;Hong P;Zhu G;Tang S;Zhao X;Zhang Q;Wang G;He W;Zhang H;Xue H;Cui L;Ge H;Jiang J;Zhang S;Cao F;Yan J;Ma F;Liu C;Ma L;Wang S
开发了一种基于多模态成像的术前预测模型，以评估肿瘤浸润导致下腔静脉（IVC）血管壁受侵的可能性。 我们回顾性分析了2014年1月至2019年4月期间接受根治性肾切除术和IVC血栓切除术的110例肾细胞癌（RCC）伴I-IV级癌栓患者的临床资料。将患者分为两组：86例患者用于建立成像模型，24例患者进行数据验证。我们测量成像参数，并使用逻辑回归来评估IVC切除的临床和放射学特征的单因素和多因素相关性，并建立图像预测模型来评估IVC血管壁侵犯的概率。 46.5%（40/86）的患者有下腔静脉血管壁侵犯。残余IVC血流（OR 0.170 [0.047-0.611]; P = 0.007），最大冠状下腔静脉直径（mm）（OR 1.203 [1.065-1.360]; P = 0.003），存在温和血栓（OR 3.216 [0.870-11.887]; P = 0.080）是IVC血管壁受侵的独立危险因素。如果概率>42%，我们预测血管壁受侵，计算公式为：{Ln [Pre/（1-pre）] = 0.185 ×最大Cornal IVC直径+1.168 ×空白血栓-1.770 ×残余IVC血流量-5.857}。预测IVC血管壁侵犯，76/86（88.4%）与实际治疗一致，验证患者中，21/26（80.8%）与实际治疗一致。 我们的模型多模态成像与下腔静脉血管壁侵犯，可用于术前评估和预测的可能性，部分或节段下腔静脉切除。
Developed a preoperative prediction model based on multimodality imaging to evaluate the probability of inferior vena cava (IVC) vascular wall invasion due to tumor infiltration. We retrospectively analyzed the clinical data of 110 patients with renal cell carcinoma (RCC) with level I-IV tumor thrombus who underwent radical nephrectomy and IVC thrombectomy between January 2014 and April 2019. The patients were categorized into two groups: 86 patients were used to establish the imaging model, and the data validation was conducted in 24 patients. We measured the imaging parameters and used logistic regression to evaluate the uni- and multivariable associations of the clinical and radiographic features of IVC resection and established an image prediction model to assess the probability of IVC vascular wall invasion. In all of the patients, 46.5% (40/86) had IVC vascular wall invasion. The residual IVC blood flow (OR 0.170 [0.047-0.611]; P = 0.007), maximum coronal IVC diameter in mm (OR 1.203 [1.065-1.360]; P = 0.003), and presence of bland thrombus (OR 3.216 [0.870-11.887]; P = 0.080) were independent risk factors of IVC vascular wall invasion. We predicted vascular wall invasion if the probability was >42% as calculated by: {Ln [Pre/(1 − pre)] = 0.185 × maximum cornal IVC diameter + 1.168 × bland thrombus–1.770 × residual IVC blood flow–5.857}. To predict IVC vascular wall invasion, a rate of 76/86 (88.4%) was consistent with the actual treatment, and in the validation patients, 21/26 (80.8%) was consistent with the actual treatment. Our model of multimodal imaging associated with IVC vascular wall invasion may be used for preoperative evaluation and prediction of the probability of partial or segmental IVC resection.
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DOI：
10.1016/j.juro.2015.08.099
发表时间：
2016-02
期刊：
The Journal of urology
影响因子：
--
作者：
Liu NW;Wren JD;Vertosick E;Lee JK;Power NE;Benfante NE;Kimm SY;Bains MS;Sjoberg DD;Russo P;Coleman JA
通讯作者：
Coleman JA
影响因子：
0.7
作者：
Overholser S;Raheem O;Zapata D;Kaushik D;Rodriguez R;Derweesh IH;Liss MA
通讯作者：
Liss MA
影响因子：
2.6
作者：
Gonzalez, Javier
通讯作者：
Gonzalez, Javier
影响因子：
4.5
作者：
Psutka, Sarah P.;Boorjian, Stephen A.;Leibovich, Bradley C.
通讯作者：
Leibovich, Bradley C.
影响因子：
1.8
作者：
Minagawa, Tomonori;Fukui, Daisuke;Ishizuka, Osamu
通讯作者：
Ishizuka, Osamu