Ct radiomic features of pancreatic neuroendocrine neoplasms (panNEN) are robust against delineation uncertainty.
Phys Med
; 57: 41-46, 2019 Jan.
Article
em En
| MEDLINE
| ID: mdl-30738530
ABSTRACT
PURPOSE:
The aim of this study was to quantify the impact of CT delineation uncertainty of pancreatic neuroendocrine neoplasms (panNEN) on Radiomic features (RF).METHODS:
Thirty-one previously operated patients were considered. Three expert radiologists contoured panNEN lesions on pre-surgical high-resolution contrast-enhanced CT images and contours were transferred onto pre-contrast CT. Volume agreement was quantified by the DICE index. After images resampling and re-binning, 69 RF were extracted and the impact of inter-observer variability was assessed by Intra-Class Correlation (ICC) ICCâ¯>â¯0.80 was considered as a threshold for "very high" inter-observer agreement.RESULTS:
The median volume was 1.3â¯cc (range 0.2-110â¯cc); a satisfactory inter-observer volume agreement was found (mean DICEâ¯=â¯0.78). Only 4 RF showed ICCâ¯<â¯0.80 (0.48-0.73), including asphericity and three RFs (of five) of the neighborhood intensity difference matrix (NID).CONCLUSIONS:
The impact of inter-observer variability in delineating panNEN on RF was minimum, with the exception of the NID family and asphericity, showing a moderate agreement. These results support the feasibility of studies aiming to assess CT radiomic biomarkers for panNEN.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Neoplasias Pancreáticas
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Processamento de Imagem Assistida por Computador
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Tomografia Computadorizada por Raios X
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Carcinoma Neuroendócrino
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Incerteza
Limite:
Humans
Idioma:
En
Ano de publicação:
2019
Tipo de documento:
Article