Spectral CT is a rapidly expanding imaging modality that allows a reduction in iodine dose and irradiation compared to conventional scanning. It uses the difference in attenuation of the material according to the two different energy levels of the incident x-ray beams. The dual-energy scanner has a wide range of clinical applications, particularly in abdominal imaging.
First of all, the virtual creation of mono-energy images between 40 and 140 keV has shown subjective and objective improvement of tumor detection of hypovascular lesions using low energies (40keV). It has been shown to be of interest in vascular and cardiac imaging, and to reduce artefacts in bone imaging. However, its performance in oncology analysis has been little studied. The selection of patients for peritoneal and hepatic carcinosis surgery is fundamental, as surgery allows a prolongation of survival, but are associated with a non-negligible morbi-mortality rate. Spectral CT provides improved detection of peritoneal carcinosis and liver metastases of colorectal cancer compared to conventional CT acquisition.
Study Type
OBSERVATIONAL
Enrollment
100
Analysis of CT images of peritoneal and/or liver metastases from colorectal cancer
CHU Saint-Etienne
Saint-Etienne, France
RECRUITINGComparison of peritoneal lesion mapping between spectral scanning and conventional scanning
Comparison of peritoneal lesion mapping between spectral scanning (monoenergetic acquisitions, iodine mapping, etc.) and conventional scanning (acquisition obtained during spectral acquisition).
Time frame: Year : 1
Comparison of hepatic lesion mapping between spectral scanning and conventional scanning
Comparison of hepatic lesion mapping between spectral scanning (monoenergetic acquisitions, iodine mapping, etc.) and conventional scanning (acquisition obtained during spectral acquisition).
Time frame: Year : 1
Evaluation of response to chemotherapy in RECIST 1.1
Collection of demographic, biological and surgical data.
Time frame: Year : 1
Evaluation of response to chemotherapy in Radiomics
Collection of demographic, biological and surgical data.
Time frame: Year : 1
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