AIMC Topic: Rectal Neoplasms

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