Saves the questions and what to expect into your notes, next to the visit they belong to.
Keep this study
Lead
im3D S.p.A.
With
Candiolo Cancer Institute - IRCCS
Bicocca Universiy of Milano, Milan, Italy
Fondazione Salvatore Maugeri
Catholic University, Italy
Valduce Hospital
University of Turin, Italy
University of Roma La Sapienza
IRCCS Azienda Ospedaliero-Universitaria di Bologna
Nuovo Regina Margherita Hospital
University of Pisa
University of Florence
IRCCS Azienda Ospedaliera Universitaria San Martino - IST Istituto Nazionale per la Ricerca sul Cancro, Genoa, Italy
Design: multicenter, cross-sectional study. Each participant underwent CT colonography and colonoscopy on the same day. Expert readers interpreted CT colonography unassisted and then reviewed all colorectal lesion-like structures pinpointed by the CAD algorithm.
Age
18–any
Sex
ALL
Healthy volunteers
Not accepted
You may be eligible if
\- clinical indication to undergo colonoscopy either for symptoms, or participating a surveillance program or a CRC screening
You may not be if
clinical diagnosis of familial adenomatous polyposis or hereditary nonpolyposis CRC syndrome
inflammatory bowel disease
celiac disease
evidence of increased risk of harm from colonoscopy
psychological or physical conditions that contraindicated colonoscopy or CT Colonography
Clareo Health | Impact of Computer-Aided Detection (CAD) as Second Reader in CT Colonography
