Sun Yat-sen cancer center
Guangzhou, Guangdong, China
NCT Number: NCT07620444
This is a single-center, comparative, observational study. Datasets will be collected from patients with pathologically confirmed colon cancer who undergo abdomen-pelvis enhanced spectral CT scan.
Trial opening soon.
Get Notified18 year and older
All sexes
Observational
Guangzhou, Guangdong, China
This is a single-center, comparative, observational study. Datasets will be collected from patients with pathologically confirmed colon cancer who undergo abdomen-pelvis enhanced spectral CT scan at investigational center, including retrospective and prospective data. Based on the Dose Right Index (DRI) derived from CT image data, relevant data will be collected at a 1:1 ratio for the conventional radiation dose group (RD group, DRI = 21) and the low radiation dose group (LD group, DRI = 18). A total of 100 cases of datasets is expected to be collected. All CT raw data will be transmitted to Philips after the completion of the de-identification process. For the three-phase data of the LD group (plain scan, arterial phase and venous phase), offline reconstruction will be performed using the Spectral Precise Image algorithm to generate conventional images and VMI-40 keV images. A total of six image sequences will be quantitatively and qualitatively evaluated and compared. For both groups, conventional images and VMI-40 keV images will be reconstructed using iDose4.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
This is an observational study
Time frame: From the date of image reconstruction completion to the date of image evaluation completion, anticipated 3 Months.
Radiologist will evaluate the overall image quality using 5 Likert scale ranging from 1(poor) to 5 (Excellent)
Time frame: From the date reconstruction completion to the date of image evaluation completion, anticipated 3months.
The objective image quality is evaluated by measuring the CT value shown in the image.
Contact information is provided by the study sponsor or research team.
Philips Clinical & Medical Affairs Global
Industry
CT Image Quality Assessment of Colon Cancer Using Spectral Precise Image Deep Learning Reconstruction
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