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Rectal Neoplasms

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A method of using deep learning to predict three-dimensional dose distributions for intensity-modulated radiotherapy of rectal cancer.

Journal of applied clinical medical physics Apr 13, 2020
PURPOSE: To develop and test a three-dimensional (3D) deep learning model for predicting 3D voxel-wise dose distributions for intensity-modulated radiotherapy (IMRT).
Radiotherapy, Intensity-Modulated Rectal Neoplasms Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Humans Deep Learning
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Deep learning-based radiomic features for improving neoadjuvant chemoradiation response prediction in locally advanced rectal cancer.

Physics in medicine and biology Apr 2, 2020
Radiomic features achieve promising results in cancer diagnosis, treatment response prediction, and survival prediction. Our goal is to compare the handcrafted (explicitly designed) and deep learning (DL)-based radiomic features extracted from pre-tr...
Humans Female Male Neoadjuvant Therapy Rectal Neoplasms Chemoradiotherapy Diffusion Magnetic Resonance Imaging Middle Aged Deep Learning ROC Curve Treatment Outcome
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A Deep Learning-based correction to EPID dosimetry for attenuation and scatter in the Unity MR-Linac system.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Mar 2, 2020
PURPOSE: EPID dosimetry in the Unity MR-Linac system allows for reconstruction of absolute dose distributions within the patient geometry. Dose reconstruction is accurate for the parts of the beam arriving at the EPID through the MRI central unattenu...
Rectal Neoplasms Radiotherapy Planning, Computer-Assisted Radiotherapy, Intensity-Modulated Scattering, Radiation Phantoms, Imaging Radiometry Reproducibility of Results Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Algorithms
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Automatic delineation of the clinical target volume and organs at risk by deep learning for rectal cancer postoperative radiotherapy.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Feb 7, 2020
BACKGROUND AND PURPOSE: Manual delineation of clinical target volumes (CTVs) and organs at risk (OARs) is time-consuming, and automatic contouring tools lack clinical validation. We aimed to construct and validate the use of convolutional neural netw...
Retrospective Studies Deep Learning Rectal Neoplasms Organs at Risk Humans Radiotherapy Planning, Computer-Assisted
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Robotic total mesorectal excision for mid-rectal cancer using the Senhance robotic platform - a video vignette.

Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland Jan 10, 2020
Humans Robotics Laparoscopy Robotic Surgical Procedures Rectum Rectal Neoplasms
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Single-stage posterior total en bloc spondylectomy in the treatment of lumbar spinal metastases.

Clinical neurology and neurosurgery Dec 20, 2019
OBJECTIVE: To report the clinical and radiographic outcomes of single-stage posterior total en bloc spondylectomy (TES) of lumbar spinal metastases.
Prostatic Neoplasms Neurosurgical Procedures Lumbar Vertebrae Psoas Muscles Rectal Neoplasms Surgical Wound Infection Middle Aged Cerebrospinal Fluid Leak Kidney Neoplasms Spinal Neoplasms Postoperative Complications Pain Measurement Low Back Pain Spinal Nerve Roots Liver Neoplasms Length of Stay Plastic Surgery Procedures Aged Metastasectomy Humans Lung Neoplasms Adult Retrospective Studies Blood Loss, Surgical Biomechanical Phenomena Female Operative Time Male
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Preoperative prediction of tumour deposits in rectal cancer by an artificial neural network-based US radiomics model.

European radiology Dec 11, 2019
OBJECTIVE: To develop a machine learning-based ultrasound (US) radiomics model for predicting tumour deposits (TDs) preoperatively.
Extranodal Extension Magnetic Resonance Imaging Rectal Neoplasms Preoperative Period Prospective Studies Female Aged Adult Male Middle Aged Ultrasonography Humans Neural Networks, Computer Machine Learning
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Decision tree algorithm in locally advanced rectal cancer: an example of over-interpretation and misuse of a machine learning approach.

Journal of cancer research and clinical oncology Nov 29, 2019
PURPOSE: To analyse the classification performances of a decision tree method applied to predictor variables in survival outcome in patients with locally advanced rectal cancer (LARC). The aim was to offer a critical analysis to better apply tree-bas...
Rectal Neoplasms Male Middle Aged Decision Trees Humans Machine Learning Female Aged Adult
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Oncological and anorectal functional outcomes of robot-assisted intersphincteric resection in lower rectal cancer, particularly the extent of sphincter resection and sphincter saving.

Surgical endoscopy Jul 22, 2019
BACKGROUND: Few investigations to date assessing the effectiveness of robot-assisted intersphincteric resection (ISR) have included sufficient patients and follow-up period. This study assessed the utility and safety of robot-assisted ISR by comparin...
Robotics Rectal Neoplasms Anal Canal Humans Female Male Middle Aged
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MR-based artificial intelligence model to assess response to therapy in locally advanced rectal cancer.

European journal of radiology Jun 22, 2019
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 ...
Male Middle Aged Cohort Studies ROC Curve Treatment Outcome Neoadjuvant Therapy Magnetic Resonance Imaging Female Reproducibility of Results Aged Aged, 80 and over Artificial Intelligence Prospective Studies Retrospective Studies Humans Rectum Rectal Neoplasms Chemoradiotherapy, Adjuvant
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