A combined postoperative nomogram for survival prediction in clear cell renal carcinoma.

Purpose: To investigate and validate the prognostic value of nomogram models for predicting disease-free survival (DFS) and overall survival (OS) in patients with clear cell renal cell carcinoma (ccRCC). Methods: In this retrospective study, 223 patients (age 54.38 ± 10.93 years) with pathologically...

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Publicado en:Abdominal Radiology Vol. 47; no. 1; pp. 297 - 310
Autores principales: Ming, Ying, Chen, Xinyi, Xu, Jingxu, Zhan, Haiyu, Zhang, Jie, Ma, Teng, Huang, Chencui, Liu, Zhiling, Huang, Zhaoqin
Formato: diagnostic images equations & formulas pictorial research tables/charts Journal Article
Publicado: Springer Nature Jan2022
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jan2022
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s00261-021-03293-4
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        atl: A combined postoperative nomogram for survival prediction in clear cell renal carcinoma.
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        au:
          Ming, Ying
          Chen, Xinyi
          Xu, Jingxu
          Zhan, Haiyu
          Zhang, Jie
          Ma, Teng
          Huang, Chencui
          Liu, Zhiling
          Huang, Zhaoqin
        affil: Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No. 324, Jingwu Road, Huaiyin District, 250012, Jinan, Shandong, China
      sug:
        subj:
          Prediction Models
          Carcinoma, Renal Cell Prognosis
          Disease-Free Survival
          Cancer Patients
          Human
          Retrospective Design
          Carcinoma, Renal Cell Surgery
          Lymph Node Excision
          Random Assignment
          Prospective Studies
          Tomography, X-Ray Computed
          Carcinoma, Renal Cell Pathology
          Univariate Statistics
          Multivariate Analysis
          Cox Proportional Hazards Model
          Regression
          Descriptive Statistics
          Data Management
          Radiographic Image Enhancement
          Adult
          Middle Age
          Aged
          Adult: 19-44 years
          Middle Aged: 45-64 years
          Aged: 65+ years
      ab: Purpose: To investigate and validate the prognostic value of nomogram models for predicting disease-free survival (DFS) and overall survival (OS) in patients with clear cell renal cell carcinoma (ccRCC). Methods: In this retrospective study, 223 patients (age 54.38 ± 10.93 years) with pathologically confirmed ccRCC who underwent resection and lymph node dissection between March 2010 and September 2018 were investigated. All patients were randomly divided into training (n = 155) and validation (n = 68) cohorts. Radiomics features were extracted from computed tomography (CT) images in the unenhanced, corticomedullary, and nephrographic phases. Radiomic score was calculated and combined with clinicopathological factors for model construction and nomogram development. Clinicopathological factors and imaging features were collected at initial diagnosis. Univariate and multivariate Cox proportional hazards regression analyses were used to evaluate the relationship between the radiomics signature and prognosis outcomes. Results: There were four prognostic factors for predicting DFS and five factors for predicting OS in our nomogram model (P < 0.05). The radiomics signature correlated independently with DFS (hazard ratio = 27; P < 0.001) and OS (hazard ratio = 25; P < 0.001). The nomogram showed excellent performance (C-index = 0.825) for predicting DFS. The combined nomogram also showed the highest C-index for OS (C-index = 0.943), which was verified in the validation dataset. Conclusion: The combined nomogram model based on radiomics, clinicopathological factors, and preoperative CT features can accurately perform prognosis and survival analysis and can potentially be used for preoperative non-invasive survival prediction in ccRCC patients.
      pubtype: Academic Journal
      doctype:
        diagnostic images
        equations & formulas
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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