Development and validation of a clinicopathological‐based nomogram to predict seeding risk after percutaneous thermal ablation of primary liver carcinoma
Autor: | Jiayan Ni, Yiquan Jiang, Jinhua Huang, Zhimei Huang, Mengxuan Zuo, Tianqi Zhang, Chao An |
---|---|
Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
0301 basic medicine
Male Cancer Research Multivariate statistics Percutaneous Time Factors Cholangiocarcinoma 0302 clinical medicine Risk Factors Medicine Original Research Aged 80 and over Liver Neoplasms Middle Aged lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens Treatment Outcome Oncology 030220 oncology & carcinogenesis primary liver carcinoma Seeding Female seeding Adult medicine.medical_specialty China Carcinoma Hepatocellular risk analysis Thermal ablation Urology Risk Assessment lcsh:RC254-282 Decision Support Techniques nomogram 03 medical and health sciences Young Adult thermal ablation Neoplasm Seeding Predictive Value of Tests Humans Radiology Nuclear Medicine and imaging Aged Retrospective Studies Radiofrequency Ablation Receiver operating characteristic business.industry Proportional hazards model Reproducibility of Results Clinical Cancer Research Nomogram Confidence interval Nomograms 030104 developmental biology Bile Duct Neoplasms business |
Zdroj: | Cancer Medicine, Vol 9, Iss 18, Pp 6497-6506 (2020) Cancer Medicine |
ISSN: | 2045-7634 |
Popis: | Objectives To develop a clinicopathological‐based nomogram to improve the prediction of the seeding risk of after percutaneous thermal ablation (PTA) in primary liver carcinoma (PLC). Methods A total of 2030 patients with PLC who underwent PTA were included between April 2009 and December 2018. The patients were grouped into a training dataset (n = 1024) and an external validation dataset (n = 1006). Baseline characteristics were collected to identify the risk factors of seeding after PTA. The multivariate Cox proportional hazards model based on the risk factors was used to develop the nomogram, which was used for assessment for its predictive accuracy using mainly the Harrell's C‐index and receiver operating characteristic curve (AUC). Results The median follow‐up time was 30.3 months (range, 3.2‐115.7 months). The seeding risk was 0.89% per tumor and 1.5% per patient in the training set. The nomogram was developed based on tumor size, subcapsular, α‐fetoprotein (AFP), and international normalized ratio (INR). The 1‐, 2‐, and 3‐year cumulative seeding rates were 0.1%, 0.7% and 1.2% in the low‐risk group, and 1.7%, 6.3% and 6.3% in the high‐risk group, respectively, showing significant statistical difference (P Seeding on the thoracoabdominal wall from primary liver carcinoma is a potential complication after percutaneous thermal ablation. Seeding risk is a liver ablation complication that affects future oncology management. A calibrated and objective model to predict seeding risk after liver ablation may guide patient selection and ablation treatment. |
Databáze: | OpenAIRE |
Externí odkaz: | |
Nepřihlášeným uživatelům se plný text nezobrazuje | K zobrazení výsledku je třeba se přihlásit. |