Rectum

MR-based artificial intelligence model to assess response to therapy in locally advanced rectal cancer

Purpose: To develop and validate an Artificial Intelligence (AI) model based on texture analysis of high-resolution T2 weighted MR images able 1) to predict pathologic Complete Response (CR) and 2) to identify non-responders (NR) among patients with locally-advanced rectal cancer (LARC) after receiving neoadjuvant chemoradiotherapy (CRT). Method: Fifty-five consecutive patients with LARC were retrospectively enrolled in this study. Patients underwent 3 T Magnetic Resonance Imaging (MRI) acquiring T2-weighted images before, during and after CRT.

Perineal trauma with anal avulsion. Case report

Anorectal avulsion is an exceptional rectal trauma. In this kind of lesions, the anus and the sphincter no longer join the perineum and are pulled upward. We present a case of 34-years-old patient who was admitted because of a pelvic-perineal trauma, presenting a partial anorectal avulsion, exposed femoral fracture with thigh's lacerated-contused wound. Our treatment included primary plastic of the internal anal sphincter with replanting of the rectum on the anal canal and a diverting loop sigmoid colostomy (SCS), so as to prevent sepsis.

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