AIMC Topic: Rectal Neoplasms

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An invited commentary on "Long-term oncological outcomes in robotic versus laparoscopic approach for rectal cancer: A systematic review and meta-analysis" (Int J Surg 2020; Epub ahead of print).

International journal of surgery (London, England) Apr 23, 2020
Humans Robotic Surgical Procedures Rectal Neoplasms Printing, Three-Dimensional Robotics Laparoscopy
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Using Deep Learning for MRI to Identify Responders to Chemoradiotherapy in Rectal Cancer.

Radiology Apr 21, 2020
Rectal Neoplasms Chemoradiotherapy Humans Deep Learning Magnetic Resonance Imaging
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Invited Commentary on "Long-term oncological outcomes in robotic versus laparoscopic approach for rectal cancer: A systematic review and meta-analysis".

International journal of surgery (London, England) Apr 21, 2020
Humans Robotics Laparoscopy Robotic Surgical Procedures 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 Dosage Radiotherapy, Intensity-Modulated Humans Deep Learning Rectal Neoplasms Radiotherapy Planning, Computer-Assisted
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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...
Female Neoadjuvant Therapy Male Deep Learning Rectal Neoplasms Middle Aged Chemoradiotherapy Humans ROC Curve Diffusion Magnetic Resonance Imaging 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...
Phantoms, Imaging Radiometry Radiotherapy Planning, Computer-Assisted Radiotherapy, Intensity-Modulated Scattering, Radiation Algorithms Reproducibility of Results Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Rectal Neoplasms Humans
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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...
Organs at Risk Radiotherapy Planning, Computer-Assisted Humans Retrospective Studies Deep Learning Rectal Neoplasms
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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 Rectal Neoplasms Robotic Surgical Procedures Laparoscopy Rectum
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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.
Spinal Nerve Roots Metastasectomy Psoas Muscles Spinal Neoplasms Pain Measurement Male Middle Aged Surgical Wound Infection Plastic Surgery Procedures Aged Postoperative Complications Prostatic Neoplasms Kidney Neoplasms Adult Neurosurgical Procedures Blood Loss, Surgical Length of Stay Humans Low Back Pain Biomechanical Phenomena Lumbar Vertebrae Liver Neoplasms Retrospective Studies Operative Time Rectal Neoplasms Lung Neoplasms Female Cerebrospinal Fluid Leak
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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.
Machine Learning Prospective Studies Female Aged Adult Male Rectal Neoplasms Middle Aged Humans Preoperative Period Ultrasonography Neural Networks, Computer Extranodal Extension Magnetic Resonance Imaging
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