Therapeutic Radiology

Deep Learning-Based Prediction of Radiation Therapy Dose Distributions in Nasopharyngeal Carcinomas: A Preliminary Study Incorporating Multiple Features Including Images, Structures, and Dosimetry.

Intensity-modulated radiotherapy (IMRT) is currently the most important treatment method for nasoph...

Patient Cranial Angle and Intrafractional Stability in CyberKnife Robotic Radiosurgery: A Retrospective Analysis.

The aim of this study was to investigate whether variations in cranial angles and treatment accurac...

Segmentation of Clinical Target Volume From CT Images for Cervical Cancer Using Deep Learning.

Segmentation of clinical target volume (CTV) from CT images is critical for cervical cancer brachyt...

Artificial Intelligence and Deep Learning for Brachytherapy.

In recent years, Artificial intelligence (AI), specifically deep-learning (DL) based methods, have b...

Deep Learning using Pre-Brachytherapy MRI to Automatically Predict Applicator Induced Complex Uterine Deformation.

This novel deep-learning (DL) algorithm addresses the challenging task of predicting uterine shape a...

Deep Learning for Patient-Specific Quality Assurance: Predicting Gamma Passing Rates for IMRT Based on Delivery Fluence Informed by log Files.

In this study, we propose a deep learning-based approach to predict Intensity-modulated radiation t...

Artificial intelligence can overcome challenges in brachytherapy treatment planning.

Robotic Radical Cystectomy Outcomes after Intervention for Prostate Cancer.

We evaluated patients who underwent treatment for prostate cancer and then subsequent robot-assiste...

Monte Carlo Dose Calculation Using MRI Based Synthetic CT Generated by Fully Convolutional Neural Network for Gamma Knife Radiosurgery.

The aim of this work is to study the dosimetric effect from generated synthetic computed tomography ...

Knowledge-Based Planning for Intact Cervical Cancer.

Cervical cancer radiotherapy is often complicated by significant variability in the quality and cons...

Automated Intensity Modulated Radiation Therapy Treatment Planning for Cervical Cancer Based on Convolution Neural Network.

PURPOSE: To develop and evaluate an automatic intensity-modulated radiation therapy (IMRT) program f...

A convolutional neural network approach for IMRT dose distribution prediction in prostate cancer patients.

The purpose of the study was to compare a 3D convolutional neural network (CNN) with the conventiona...

Prediction of Response to Stereotactic Radiosurgery for Brain Metastases Using Convolutional Neural Networks.

BACKGROUND: It is unclear whether radiomic phenotypes of brain metastases (BM) are related to radiat...

Photoacoustic Source Detection and Reflection Artifact Removal Enabled by Deep Learning.

Interventional applications of photoacoustic imaging typically require visualization of point-like t...

[A Software Platform of Treatment Planning System for Radiotherapy Snake Robot].

A software platform integrated of radiation treatment planning system and navigation system has been...

Glomus tumors treated with stereotactic radiosurgery: A retrospective study.

BACKGROUND: Glomus tumors are difficult to manage surgically because they are vascular tumors that a...

Comparison of Re-irradiation Outcomes for Charged Particle Radiotherapy and Robotic Stereotactic Radiotherapy Using CyberKnife for Recurrent Head and Neck Cancers: A Multi-institutional Matched-cohort Analysis.

AIM: To compare survival outcomes for charged particle radiotherapy (CP) and stereotactic body radio...

Stereotactic robot-assisted MRI-guided laser thermal ablation of radiation necrosis in the posterior cranial fossa: technical note.

Laser interstitial thermal therapy (LITT) is a minimally invasive procedure used to treat a variety ...

Robotic path-finding in inverse treatment planning for stereotactic radiosurgery with continuous dose delivery.

PURPOSE: Continuous dose delivery in radiation therapy treatments has been shown to decrease total t...

A mathematical framework for virtual IMRT QA using machine learning.

PURPOSE: It is common practice to perform patient-specific pretreatment verifications to the clinica...

Dosimetric and delivery efficiency investigation for treating hepatic lesions with a MLC-equipped robotic radiosurgery-radiotherapy combined system.

PURPOSE: The CyberKnife M6 (CK-M6) Series introduced a multileaf collimator (MLC) for extending its ...