P53 status combined with MRI findings for prognosis prediction of single hepatocellular carcinoma

Motivation: Identifying patients at high risk for recurrence after hepatocellular carcinoma (HCC) resection may improve patient survival. Goal(s): To develop a nomogram model combing preoperative MR image indices and P53 gene status to predict individual recurrence for single HCC patients with surgical resection. Approach: Univariate and multivariate Cox regression analyses were employed to assess the effective predictors of HCC recurrence. Receiver operating characteristic (ROC) curve analyses were used to assess the predictive ability of the established nomogram for HCC recurrence. Results: The nomogram model combing preoperative MR image indices and P53-mutation showed an area under the ROC curve of 0.75 in the validation cohort. Impact: The integrated nomogram combining P53 status and preoperative MRI findings can be a valuable prognostic tool for predicting postoperative recurrence of single HCC, suggesting the potential to assist clinicians in developing more aggressive and personalized treatment strategies.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/5176
Primary Topic
Hepatocellular Carcinoma Treatment and Prognosis
Type
article
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article

P53 status combined with MRI findings for prognosis prediction of single hepatocellular carcinoma

Qinghua Wu, Hong Huang, Shudong Hu, Sujing Chen et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Hepatocellular Carcinoma Treatment and Prognosis
article

P53 status combined with MRI findings for prognosis prediction of single hepatocellular carcinoma

Qinghua Wu, Hong Huang, Shudong Hu, Sujing Chen, Hongyan Qiao, Qingqing Wen, Guofeng Zhou
article en

Abstract

Motivation: Identifying patients at high risk for recurrence after hepatocellular carcinoma (HCC) resection may improve patient survival. Goal(s): To develop a nomogram model combing preoperative MR image indices and P53 gene status to predict individual recurrence for single HCC patients with surgical resection. Approach: Univariate and multivariate Cox regression analyses were employed to assess the effective predictors of HCC recurrence. Receiver operating characteristic (ROC) curve analyses were used to assess the predictive ability of the established nomogram for HCC recurrence. Results: The nomogram model combing preoperative MR image indices and P53-mutation showed an area under the ROC curve of 0.75 in the validation cohort. Impact: The integrated nomogram combining P53 status and preoperative MRI findings can be a valuable prognostic tool for predicting postoperative recurrence of single HCC, suggesting the potential to assist clinicians in developing more aggressive and personalized treatment strategies.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 66%
Hepatocellular Carcinoma Treatment and Prognosis
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P53 status combined with MRI findings for prognosis prediction of single hepatocellular carcinoma — Qinghua Wu, Hong Huang, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2025) | TGRS Research Map | TGRS