Search results for "Rectal ultrasound"

showing 3 items of 3 documents

Evaluation of Mesorectal Fascia in Mid and Low Anterior Rectal Cancer Using Endorectal Ultrasound Is Feasible and Reliable

2014

Accuracy of MRI in assessing mesorectal fascia and predicting circumferential resection margin decreases in low anterior rectal tumors.The purpose of this work was to evaluate the accuracy of endorectal ultrasound in predicting the pathologic circumferential resection margin in low rectal anterior tumors and to compare it with MRI findings.This was a prospective series comparing the preoperative circumferential resection margin assessed by endorectal ultrasound and MRI with pathologic examination.The study was conducted by a specialized colorectal multidisciplinary team at a tertiary teaching hospital.Between 2002 and 2008, 76 patients with mid to low rectal cancer were preoperatively evalu…

AdultMalemedicine.medical_specialtyColorectal cancerEndosonographyYoung AdultMesorectal fasciaEndorectal ultrasoundPredictive Value of TestsmedicineHumansFasciaAgedAged 80 and overmedicine.diagnostic_testRectal Neoplasmsbusiness.industryGastroenterologyMagnetic resonance imagingGeneral MedicineMiddle Agedmedicine.diseaseMagnetic Resonance ImagingSurgeryFemaleCircumferential resection marginRadiologybusinessMri findingsDiseases of the Colon & Rectum
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Modified Wong's Classification Improves the Accuracy of Rectal Cancer Staging by Endorectal Ultrasound and MRI

2013

BACKGROUND: Douglas Wong proposed a new classification of tumor penetration in the rectal wall (T stage) in an attempt to incorporate the prognostic heterogeneity of T3 rectal cancers into the preoperative staging. OBJECTIVE: This study aimed to evaluate if the accuracy of endorectal ultrasound and MRI in predicting rectal cancer T staging improves when using a modified Wong's classification. DESIGN: This prospective series compares local standard TN staging and a modified Wong's classification. SETTINGS: This study was conducted by a specialized Colorectal Multidisciplinary Team at a tertiary teaching hospital. PATIENTS: Seventy patients underwent surgery for middle or low rectal cancer be…

AdultMalemedicine.medical_specialtyColorectal cancerPathological stagingEndosonographyEndorectal ultrasoundmedicineCarcinomaHumansProspective StudiesStage (cooking)Prospective cohort studyAgedNeoplasm StagingAged 80 and overmedicine.diagnostic_testRectal Neoplasmsbusiness.industryCarcinomaGastroenterologyMagnetic resonance imagingGeneral MedicineMiddle AgedPrognosismedicine.diseaseMagnetic Resonance ImagingT-stageFemaleRadiologybusinessDiseases of the Colon & Rectum
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A Shape-based Statistical Method to Retrieve 2D TRUS-MR Slice Correspondence for Prostate Biopsy

2012

International audience; This paper presents a method based on shape-context and statistical measures to match interventional 2D Trans Rectal Ultrasound (TRUS) slice during prostate biopsy to a 2D Magnetic Resonance (MR) slice of a pre-acquired prostate volume. Accurate biopsy tissue sampling requires translation of the MR slice information on the TRUS guided biopsy slice. However, this translation or fusion requires the knowledge of the spatial position of the TRUS slice and this is only possible with the use of an electro-magnetic (EM) tracker attached to the TRUS probe. Since, the use of EM tracker is not common in clinical practice and 3D TRUS is not used during biopsy, we propose to per…

shape-contextProstate biopsyComputer science[INFO.INFO-IM] Computer Science [cs]/Medical Imaging030230 surgeryTranslation (geometry)[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]urologic and male genital diseasesRectal ultrasound030218 nuclear medicine & medical imagingProstate biopsy03 medical and health sciences0302 clinical medicine[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]ProstateBiopsymedicine[INFO.INFO-IM]Computer Science [cs]/Medical ImagingComputer visionnormalized mutual information.normalized mutual informationmedicine.diagnostic_test[ INFO.INFO-IM ] Computer Science [cs]/Medical Imagingbusiness.industry[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Magnetic resonance imagingTissue samplingmedicine.anatomical_structure2D TRUS/3D MR correspondenceArtificial intelligenceUltrasonographybusiness
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