Cone-beam computed tomography-based radiomics in prostate cancer: a mono-institutional study.
Strahlenther Onkol
; 196(10): 943-951, 2020 Oct.
Article
em En
| MEDLINE
| ID: mdl-32875372
ABSTRACT
PURPOSE:
The purpose of the reported study was to investigate the value of cone-beam computed tomography (CBCT)-based radiomics for risk stratification and prediction of biochemical relapse in prostate cancer.METHODS:
The study population consisted of 31 prostate cancer patients. Radiomics features were extracted from weekly CBCT scans performed for verifying treatment position. From the data, logistic-regression models were learned for establishing tumor stage, Gleason score, level of prostate-specific antigen, and risk stratification, and for predicting biochemical recurrence. Performance of the learned models was assessed using the area under the receiver operating characteristic curve (AUC-ROC) or the area under the precision-recall curve (AUC-PRC).RESULTS:
Results suggest that the histogram-based Energy and Kurtosis features and the shape-based feature representing the standard deviation of the maximum diameter of the prostate gland during treatment are predictive of biochemical relapse and indicative of patients at high risk.CONCLUSION:
Our results suggest the usefulness of CBCT-based radiomics for treatment definition in prostate cancer.Palavras-chave
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Base de dados:
MEDLINE
Assunto principal:
Neoplasias da Próstata
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Processamento de Imagem Assistida por Computador
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Adenocarcinoma
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Biologia Computacional
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Radioterapia de Intensidade Modulada
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Tomografia Computadorizada de Feixe Cônico
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Aprendizado de Máquina
Idioma:
En
Ano de publicação:
2020
Tipo de documento:
Article
País de afiliação:
Suíça