AIMC Topic: Brachytherapy

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Accurate and robust deep learning-based segmentation of the prostate clinical target volume in ultrasound images.

Medical image analysis Jul 15, 2019
The goal of this work was to develop a method for accurate and robust automatic segmentation of the prostate clinical target volume in transrectal ultrasound (TRUS) images for brachytherapy. These images can be difficult to segment because of weak or...
Humans Neural Networks, Computer Male Deep Learning Prostate Artifacts Pattern Recognition, Automated Brachytherapy Ultrasonography Image Processing, Computer-Assisted Anatomic Landmarks Prostatic Neoplasms
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Spatio-temporal deep learning models for tip force estimation during needle insertion.

International journal of computer assisted radiology and surgery May 30, 2019
PURPOSE: Precise placement of needles is a challenge in a number of clinical applications such as brachytherapy or biopsy. Forces acting at the needle cause tissue deformation and needle deflection which in turn may lead to misplacement or injury. He...
Deep Learning Tomography, Optical Coherence Equipment Design Biopsy Humans Algorithms Calibration Needles Brachytherapy Mechanical Phenomena
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Intelligent inverse treatment planning via deep reinforcement learning, a proof-of-principle study in high dose-rate brachytherapy for cervical cancer.

Physics in medicine and biology May 29, 2019
Inverse treatment planning in radiation therapy is formulated as solving optimization problems. The objective function and constraints consist of multiple terms designed for different clinical and practical considerations. Weighting factors of these ...
Deep Learning Radiotherapy Planning, Computer-Assisted Brachytherapy Radiotherapy Dosage Humans Algorithms Female Uterine Cervical Neoplasms
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A machine-learning-based prediction model of fistula formation after interstitial brachytherapy for locally advanced gynecological malignancies.

Brachytherapy May 15, 2019
PURPOSE: External beam radiotherapy combined with interstitial brachytherapy is commonly used to treat patients with bulky, advanced gynecologic cancer. However, the high radiation dose needed to control the tumor may result in fistula development. T...
Humans Retrospective Studies Female Risk Factors Genital Neoplasms, Female Brachytherapy Models, Theoretical Vesicovaginal Fistula Support Vector Machine Rectovaginal Fistula Predictive Value of Tests Aged Area Under Curve Aged, 80 and over Adult Middle Aged
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Development and clinical implementation of SeedNet: A sliding-window convolutional neural network for radioactive seed identification in MRI-assisted radiosurgery (MARS).

Magnetic resonance in medicine Feb 8, 2019
PURPOSE: To develop and evaluate a sliding-window convolutional neural network (CNN) for radioactive seed identification in MRI of the prostate after permanent implant brachytherapy.
Radiosurgery Magnetic Resonance Imaging, Interventional Neural Networks, Computer Algorithms Retrospective Studies Male Image Processing, Computer-Assisted Prostatic Neoplasms Prostate Brachytherapy Humans
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Efficacy and safety of CT-guided high-dose-rate interstitial brachytherapy in primary and secondary malignancies of the pancreas.

European journal of radiology Dec 28, 2018
PURPOSE: To evaluate efficacy and safety of CT-guided iBT in patients with primary and secondary malignancies of the pancreas.
Neoplasm Recurrence, Local Brachytherapy Neoplasms, Second Primary Radiotherapy Dosage Humans Female Radiography, Interventional Male Retrospective Studies Aged Middle Aged Tomography, X-Ray Computed Aged, 80 and over Treatment Outcome Adult Pancreatic Neoplasms
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Combined Low Dose Rate Brachytherapy and External Beam Radiation Therapy for Intermediate-Risk Prostate Cancer.

Journal of medical imaging and radiation sciences Nov 8, 2018
INTRODUCTION: This is a retrospective study conducted to report the tumor control and late toxicity outcomes of patients with intermediate-risk prostate cancer undergoing combination external beam radiation therapy and low dose rate brachytherapy (LD...
Brachytherapy Aged, 80 and over Humans Male Retrospective Studies Middle Aged Aged Prostatic Neoplasms
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MRI-based automated detection of implanted low dose rate (LDR) brachytherapy seeds using quantitative susceptibility mapping (QSM) and unsupervised machine learning (ML).

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Sep 19, 2018
BACKGROUND AND PURPOSE: Permanent seed brachytherapy is an established treatment option for localized prostate cancer. Currently, post-implant dosimetry is performed on CT images despite challenging target delineation due to limited soft tissue contr...
Brachytherapy Radiotherapy Dosage Phantoms, Imaging Unsupervised Machine Learning Humans Prostatic Neoplasms Iodine Radioisotopes Tomography, X-Ray Computed Male Contrast Media Magnetic Resonance Imaging
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Salvage HDR Brachytherapy: Multiple Hypothesis Testing Versus Machine Learning Analysis.

International journal of radiation oncology, biology, physics Mar 13, 2018
PURPOSE: Salvage high-dose-rate brachytherapy (sHDRB) is a treatment option for recurrences after prior radiation therapy. However, only approximately 50% of patients benefit, with the majority of second recurrences after salvage brachytherapy occurr...
Brachytherapy Treatment Failure Recurrence Male Prostatic Neoplasms Linear Models Salvage Therapy Humans Machine Learning Retrospective Studies
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Machine Learning on a Genome-wide Association Study to Predict Late Genitourinary Toxicity After Prostate Radiation Therapy.

International journal of radiation oncology, biology, physics Jan 31, 2018
PURPOSE: Late genitourinary (GU) toxicity after radiation therapy limits the quality of life of prostate cancer survivors; however, efforts to explain GU toxicity using patient and dose information have remained unsuccessful. We identified patients w...
Brachytherapy Urination Disorders Risk Lower Urinary Tract Symptoms Urinary Retention Urination Symptom Assessment Male Urogenital System Quality of Life Prostatic Neoplasms Genome-Wide Association Study Regression Analysis Androgen Antagonists Polymorphism, Single Nucleotide Predictive Value of Tests Confidence Intervals Humans Area Under Curve Genotyping Techniques Nocturia Machine Learning Reproducibility of Results
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