AIMC Topic: Radiosurgery

Clear Filters Showing 111 to 120 of 152 articles

Predictive time-series modeling using artificial neural networks for Linac beam symmetry: an empirical study.

Annals of the New York Academy of Sciences Sep 14, 2016
Over half of cancer patients receive radiotherapy (RT) as partial or full cancer treatment. Daily quality assurance (QA) of RT in cancer treatment closely monitors the performance of the medical linear accelerator (Linac) and is critical for continuo...
Reproducibility of Results Neoplasms Computational Biology Longitudinal Studies Neural Networks, Computer Machine Learning Forecasting Humans Databases, Factual Regression Analysis Bayes Theorem Kinetics Models, Biological Quality Assurance, Health Care Radiosurgery Empirical Research In Vivo Dosimetry
View on PubMed DOI

Using machine learning to predict radiation pneumonitis in patients with stage I non-small cell lung cancer treated with stereotactic body radiation therapy.

Physics in medicine and biology Jul 27, 2016
To develop a patient-specific 'big data' clinical decision tool to predict pneumonitis in stage I non-small cell lung cancer (NSCLC) patients after stereotactic body radiation therapy (SBRT). 61 features were recorded for 201 consecutive patients wit...
Humans Machine Learning Aged, 80 and over Male Middle Aged Lung Neoplasms Algorithms Female Reproducibility of Results Aged Carcinoma, Non-Small-Cell Lung Multivariate Analysis Radiosurgery Radiation Pneumonitis
View on PubMed DOI

Receiver operating curves and dose-volume analysis of late toxicity with stereotactic body radiation therapy for prostate cancer.

Practical radiation oncology Jul 17, 2016
PURPOSE: The purpose of this study was to evaluate a receiver operating characteristic (ROC) curve method to determine dose thresholds with late genitourinary (GU) toxicity after stereotactic body radiation therapy for prostate cancer.
Radiotherapy Dosage Male Middle Aged Humans Radiosurgery ROC Curve Urogenital System Retrospective Studies Prostatic Neoplasms Aged
View on PubMed DOI

Robotic ultrasound-guided SBRT of the prostate: feasibility with respect to plan quality.

International journal of computer assisted radiology and surgery Jul 12, 2016
PURPOSE: Advances in radiation therapy delivery systems have enabled motion compensated SBRT of the prostate. A remaining challenge is the integration of fast, non-ionizing volumetric imaging. Recently, robotic ultrasound has been proposed as an intr...
Prostatic Neoplasms Prostate Feasibility Studies Motion Radiotherapy Planning, Computer-Assisted Radiosurgery Humans Radiotherapy, Image-Guided Male Ultrasonography Robotics
View on PubMed DOI

Clinical results of mean GTV dose optimized robotic guided SBRT for liver metastases.

Radiation oncology (London, England) May 28, 2016
BACKGROUND: We retrospectively evaluated the efficacy and toxicity of gross tumor volume (GTV) mean-dose-optimized and real-time motion-compensated robotic stereotactic body radiation therapy (SBRT) in the treatment of liver metastases.
Surgery, Computer-Assisted Radiotherapy Dosage Radiosurgery Dose Fractionation, Radiation Middle Aged Humans Aged, 80 and over Liver Neoplasms Prognosis Adult Follow-Up Studies Retrospective Studies Survival Rate Robotics Female Male Aged
View on PubMed DOI

High resolution ion chamber array delivery quality assurance for robotic radiosurgery: Commissioning and validation.

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) May 27, 2016
PURPOSE: High precision radiosurgery demands comprehensive delivery-quality-assurance techniques. The use of a liquid-filled ion-chamber-array for robotic-radiosurgery delivery-quality-assurance was investigated and validated using several test scena...
Radiotherapy Dosage Radiosurgery Humans Radiometry Robotics Radiotherapy Planning, Computer-Assisted Quality Assurance, Health Care
View on PubMed DOI

Inverse treatment planning for spinal robotic radiosurgery: an international multi-institutional benchmark trial.

Journal of applied clinical medical physics May 8, 2016
Stereotactic radiosurgery (SRS) is the accurate, conformal delivery of high-dose radiation to well-defined targets while minimizing normal structure doses via steep dose gradients. While inverse treatment planning (ITP) with computerized optimization...
Radiosurgery International Agencies Radiotherapy Planning, Computer-Assisted Spinal Neoplasms Radiotherapy Dosage Radiotherapy, Intensity-Modulated Humans Algorithms Robotics Benchmarking
View on PubMed DOI

Reirradiation using robotic image-guided stereotactic radiotherapy of recurrent head and neck cancer.

Journal of radiation research Mar 16, 2016
The purpose of this study was to examine the prognosis for patients with head and neck cancer after reirradiation using Cyberknife stereotactic body irradiation with special focus on mucosal ulceration. We conducted a retrospective multi-institutiona...
Aged, 80 and over Adult Survival Rate Multivariate Analysis Male Humans Middle Aged Radiosurgery Prognosis Head and Neck Neoplasms Radiotherapy, Image-Guided Female Robotics Re-Irradiation Aged Neoplasm Recurrence, Local
View on PubMed DOI

Accelerated partial breast irradiation using robotic radiotherapy: a dosimetric comparison with tomotherapy and three-dimensional conformal radiotherapy.

Radiation oncology (London, England) Feb 27, 2016
BACKGROUND: Accelerated partial breast irradiation (APBI) is a new breast treatment modality aiming to reduce treatment time using hypo fractionation. Compared to conventional whole breast irradiation that takes 5 to 6 weeks, APBI is reported to indu...
Radiotherapy Dosage Radiotherapy, Intensity-Modulated Radiosurgery Radiotherapy Breast Humans Female Radiotherapy Planning, Computer-Assisted Breast Neoplasms Radiation Injuries Radiotherapy, Conformal Imaging, Three-Dimensional Phantoms, Imaging Respiration Robotics Movement Surgical Instruments Radiometry
View on PubMed DOI

Using a Machine Learning Approach to Predict Outcomes after Radiosurgery for Cerebral Arteriovenous Malformations.

Scientific reports Feb 9, 2016
Predictions of patient outcomes after a given therapy are fundamental to medical practice. We employ a machine learning approach towards predicting the outcomes after stereotactic radiosurgery for cerebral arteriovenous malformations (AVMs). Using th...
Male Predictive Value of Tests Radiosurgery Intracranial Arteriovenous Malformations Humans Machine Learning Female
View on PubMed DOI
Popular Topics
Recent Journals