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Copyright © 2020 Zhuo Liu et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0/

Abstract

Purpose. 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. Materials and Methods. 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. Results. 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: LnPre/1pre=0.185×maximumcornalIVCdiameter+1.168×blandthrombus1.770×residualIVCbloodflow5.857. 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. Conclusions. 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.

Details

Title
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
Author
Liu, Zhuo 1 ; Li, Liwei 2 ; Peng, Hong 1   VIAFID ORCID Logo  ; Zhu, Guodong 1 ; Tang, Shiying 1   VIAFID ORCID Logo  ; Zhao, Xun 1 ; Zhang, Qiming 1 ; Wang, Guoliang 1 ; He, Wei 3 ; Zhang, Hua 4 ; Xue, Heng 2   VIAFID ORCID Logo  ; Cui, Ligang 2 ; Ge, Huiyu 2   VIAFID ORCID Logo  ; Jiang, Jie 2 ; Zhang, Shudong 1 ; Cao, Fangting 3 ; Yan, Jing 2 ; Ma, Fengrong 1 ; Liu, Cheng 1 ; Ma, Lulin 1   VIAFID ORCID Logo  ; Wang, Shumin 2   VIAFID ORCID Logo 

 Department of Urology, Peking University Third Hospital, Beijing, China 
 Department of Ultrasound, Peking University Third Hospital, Beijing, China 
 Department of Radiology, Peking University Third Hospital, Beijing, China 
 Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, China 
Editor
Jiang Du
Publication year
2020
Publication date
2020
Publisher
John Wiley & Sons, Inc.
ISSN
23146133
e-ISSN
23146141
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2451755369
Copyright
Copyright © 2020 Zhuo Liu et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0/