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Contrast-Enhanced CT Texture Analysis in Colon Cancer: Correlation with Genetic Markers
被引:8
|作者:
Crimi, Filippo
[1
]
Zanon, Chiara
[1
]
Cabrelle, Giulio
[1
]
Luong, Kim Duyen
[1
]
Albertoni, Laura
[2
]
Bao, Quoc Riccardo
[3
]
Borsetto, Marta
[3
]
Baratella, Elisa
[4
]
Capelli, Giulia
[3
]
Spolverato, Gaya
[3
]
Fassan, Matteo
[2
,5
]
Pucciarelli, Salvatore
[3
]
Quaia, Emilio
[1
]
机构:
[1] Univ Padua, Inst Radiol, Dept Med DIMED, I-35128 Padua, Italy
[2] Univ Padua, Dept Med, Pathol & Cytopathol Unit, I-35128 Padua, Italy
[3] Univ Padua, Dept Surg Oncol & Gastroenterol Sci DiSCOG, Gen Surg 3, I-35128 Padua, Italy
[4] Univ Trieste, Cattinara Hosp, Dept Radiol, I-34127 Trieste, Italy
[5] IOV IRCCS, Veneto Inst Oncol, I-35128 Padua, Italy
来源:
关键词:
texture analysis;
colorectal cancer;
computed tomography;
genetic markers;
microsatellite instability;
mismatch repair;
KRAS;
NRAS;
BRAF;
METASTATIC COLORECTAL-CANCER;
MICROSATELLITE INSTABILITY;
TUMOR HETEROGENEITY;
F-18-FDG PET/CT;
KRAS MUTATIONS;
NRAS;
D O I:
10.3390/tomography8050184
中图分类号:
R8 [特种医学];
R445 [影像诊断学];
学科分类号:
1002 ;
100207 ;
1009 ;
摘要:
Background: The purpose of the study was to determine whether contrast-enhanced CT texture features relate to, and can predict, the presence of specific genetic mutations involved in CRC carcinogenesis. Materials and methods: This retrospective study analyzed the pre-operative CT in the venous phase of patients with CRC, who underwent testing for mutations in the KRAS, NRAS, BRAF, and MSI genes. Using a specific software based on CT images of each patient, for each slice including the tumor a region of interest was manually drawn along the margin, obtaining the volume of interest. A total of 56 texture parameters were extracted that were compared between the wild-type gene group and the mutated gene group. A p-value of Results: The study included 47 patients with stage III-IV CRC. Statistically significant differences between the MSS group and the MSI group were found in four parameters: GLRLM RLNU (area under the curve (AUC) 0.72, sensitivity (SE) 77.8%, specificity (SP) 65.8%), GLZLM SZHGE (AUC 0.79, SE 88.9%, SP 65.8%), GLZLM GLNU (AUC 0.74, SE 88.9%, SP 60.5%), and GLZLM ZLNU (AUC 0.77, SE 88.9%, SP 65.8%). Conclusions: The findings support the potential role of the CT texture analysis in detecting MSI in CRC based on pre-treatment CT scans.
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页码:2193 / 2201
页数:9
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