Yang Sheng

Journal Article Phys Med Biol · September 13, 2023 Objective.To develop a deep ensemble learning (DEL) model with radiomics spatial encoding execution for improved glioma segmentation accuracy using multi-parametric magnetic resonance imaging (mp-MRI).Approach.This model was developed using 369 glioma pati ... Full text Link to item Cite

Editorial: Machine learning-based adaptive radiotherapy treatments: From bench top to bedside.

Journal Article Front Oncol · 2023 Full text Link to item Cite

Dual-source strength seed loading for eye plaque brachytherapy using eye physics eye plaques: A feasibility study.

Journal Article J Contemp Brachytherapy · December 2022 PURPOSE: This study quantifies the dosimetric impact of incorporating two iodine-125 (125I) seed source strengths in Eye Physics eye plaques for treatment of uveal melanoma. MATERIAL AND METHODS: Plaque Simulator was used to retrospectively plan 15 clinica ... Full text Open Access Link to item Cite

Input feature design and its impact on the performance of deep learning models for predicting fluence maps in intensity-modulated radiation therapy.

Journal Article Phys Med Biol · October 21, 2022 Objective. Deep learning (DL) models for fluence map prediction (FMP) have great potential to reduce treatment planning time in intensity-modulated radiation therapy (IMRT) by avoiding the lengthy inverse optimization process. This study aims to improve th ... Full text Link to item Cite

Technical note: Determining the applicability of a clinical knowledge-based learning model via prospective outlier detection.

Journal Article Med Phys · April 2022 BACKGROUND: Knowledge-based planning (KBP) is increasingly implemented clinically because of its demonstrated ability to improve treatment planning efficiency and reduce plan quality variations. However, cases with large dose-volume histogram (DVH) predict ... Full text Link to item Cite

Transfer learning for fluence map prediction in adrenal stereotactic body radiation therapy.

Conference Phys Med Biol · December 6, 2021 Objective:To design a deep transfer learning framework for modeling fluence map predictions for stereotactic body radiation therapy (SBRT) of adrenal cancer and similar sites that usually have a small number of cases.Approach:We developed a transfer learni ... Full text Link to item Cite

A data-driven approach to optimal beam/arc angle selection for liver stereotactic body radiation therapy treatment planning.

Journal Article Quant Imaging Med Surg · December 2021 BACKGROUND: Stereotactic body radiation therapy (SBRT) for liver cancer has shown promising therapeutic effects. Effective treatment relies not only on the precise delivery provided by image-guided radiation therapy (IGRT) but also high dose gradient forme ... Full text Link to item Cite

Artificial intelligence applications in intensity modulated radiation treatment planning: an overview.

Journal Article Quant Imaging Med Surg · December 2021 Artificial intelligence (AI) refers to methods that improve and automate challenging human tasks by systematically capturing and applying relevant knowledge in these tasks. Over the past decades, a number of approaches have been developed to address differ ... Full text Link to item Cite

Assessing the robustness of artificial intelligence powered planning tools in radiotherapy clinical settings-a phantom simulation approach.

Journal Article Quant Imaging Med Surg · December 2021 BACKGROUND: Artificial intelligence (AI) based radiotherapy treatment planning tools have gained interest in automating the treatment planning process. It is essential to understand their overall robustness in various clinical scenarios. This is an existin ... Full text Link to item Cite

Insights of an AI agent via analysis of prediction errors: a case study of fluence map prediction for radiation therapy planning.

Journal Article Phys Med Biol · November 26, 2021 Purpose.We have previously reported an artificial intelligence (AI) agent that automatically generates intensity-modulated radiation therapy (IMRT) plans via fluence map prediction, by-passing inverse planning. This AI agent achieved clinically comparable ... Full text Link to item Cite

Collect Insights of an H&N IMRT Planning AI Agent Through Analyzing Relationships Between Fluence Map Prediction Error and the Corresponding Dosimetric Impacts.

Conference International journal of radiation oncology, biology, physics · November 2021 Purpose/objective(s)With many deep learning (DL) models being developed for clinical applications, it is important to understand their behavior and clinical consequence. This study aims to collect insights of the relationship between fluence map p ... Full text Cite

An AI-Enabled Virtual Hands-On Teaching Tool for Treatment Planning: A Pancreas SBRT Pilot Study.

Journal Article International journal of radiation oncology, biology, physics · November 2021 Purpose/objective(s)To develop a tutoring program to help physician and physics residents to learn pancreas stereotactic body radiation therapy (SBRT) treatment planning via carefully collected cases and a series of specially designed knowledge mo ... Full text Cite

Impact of Target Volume and Image Guidance on Post-Prostatectomy Patients Treated With Intensity Modulated Radiation Therapy.

Conference International journal of radiation oncology, biology, physics · November 2021 Purpose/objective(s)Post-operative radiotherapy (PORT) is utilized in select prostate cancer patients. IMRT has been associated with improved dosimetry and acute toxicity. Smaller treatment margins for PORT have been recommended when using image g ... Full text Cite

Assessing the Robustness and Performance of Artificial Intelligence Powered Planning Tools in Clinical Settings.

Conference International journal of radiation oncology, biology, physics · November 2021 Purpose/objective(s)Artificial intelligence (AI) driven tools have been maturing in automating the radiation treatment planning process. To prepare for clinical deployment of these tools, it is essential to understand their robustness in clinical ... Full text Cite

An artificial intelligence-driven agent for real-time head-and-neck IMRT plan generation using conditional generative adversarial network (cGAN).

Journal Article Med Phys · June 2021 PURPOSE: To develop an artificial intelligence (AI) agent for fully automated rapid head-and-neck intensity-modulated radiation therapy (IMRT) plan generation without time-consuming dose-volume-based inverse planning. METHODS: This AI agent was trained via ... Full text Link to item Cite

An Interpretable Planning Bot for Pancreas Stereotactic Body Radiation Therapy.

Journal Article Int J Radiat Oncol Biol Phys · March 15, 2021 PURPOSE: Pancreas stereotactic body radiation therapy (SBRT) treatment planning requires planners to make sequential, time-consuming interactions with the treatment planning system to reach the optimal dose distribution. We sought to develop a reinforcemen ... Full text Link to item Cite

Clinical Experience With Machine Learning-Based Automated Treatment Planning for Whole Breast Radiation Therapy.

Journal Article Adv Radiat Oncol · 2021 PURPOSE: The machine learning-based automated treatment planning (MLAP) tool has been developed and evaluated for breast radiation therapy planning at our institution. We implemented MLAP for patient treatment and assessed our clinical experience for its p ... Full text Open Access Link to item Cite

Deep Learning-Based Fluence Map Prediction for Pancreas Stereotactic Body Radiation Therapy With Simultaneous Integrated Boost.

Journal Article Adv Radiat Oncol · 2021 PURPOSE: Treatment planning for pancreas stereotactic body radiation therapy (SBRT) is a challenging task, especially with simultaneous integrated boost treatment approaches. We propose a deep learning (DL) framework to accurately predict fluence maps from ... Full text Link to item Cite

Automatic IMRT planning via static field fluence prediction (AIP-SFFP): a deep learning algorithm for real-time prostate treatment planning.

Journal Article Phys Med Biol · September 8, 2020 The purpose of this work was to develop a deep learning (DL) based algorithm, Automatic intensity-modulated radiotherapy (IMRT) Planning via Static Field Fluence Prediction (AIP-SFFP), for automated prostate IMRT planning with real-time planning efficiency ... Full text Link to item Cite

Knowledge-Based Tradeoff Hyperplanes for Head and Neck Treatment Planning.

Journal Article Int J Radiat Oncol Biol Phys · April 1, 2020 PURPOSE: To develop a tradeoff hyperplane model to facilitate tradeoff decision-making before inverse planning. METHODS AND MATERIALS: We propose a model-based approach to determine the tradeoff hyperplanes that allow physicians to navigate the clinically ... Full text Link to item Cite

Dose-Distribution-Driven PET Image-Based Outcome Prediction (DDD-PIOP): A Deep Learning Study for Oropharyngeal Cancer IMRT Application.

Journal Article Front Oncol · 2020 PURPOSE: To develop a deep learning-based AI agent, DDD-PIOP (Dose-Distribution-Driven PET Image Outcome Prediction), for predicting 18FDG-PET image outcomes of oropharyngeal cancer (OPC) in response to intensity-modulated radiation therapy (IMRT). METHODS ... Full text Open Access Link to item Cite

Knowledge Models as Teaching Aid for Training Intensity Modulated Radiation Therapy Planning: A Lung Cancer Case Study.

Journal Article Front Artif Intell · 2020 Purpose: Artificial intelligence (AI) employs knowledge models that often behave as a black-box to the majority of users and are not designed to improve the skill level of users. In this study, we aim to demonstrate the feasibility that AI can serve as an ... Full text Link to item Cite

Fluence Map Prediction Using Deep Learning Models - Direct Plan Generation for Pancreas Stereotactic Body Radiation Therapy.

Journal Article Front Artif Intell · 2020 Purpose: Treatment planning for pancreas stereotactic body radiation therapy (SBRT) is a difficult and time-consuming task. In this study, we aim to develop a novel deep learning framework to generate clinical-quality plans by direct prediction of fluence ... Full text Open Access Link to item Cite

Modeling of multiple planning target volumes for head and neck treatments in knowledge-based treatment planning.

Journal Article Med Phys · September 2019 PURPOSE: The purpose of this study is to develop an accurate and reliable dose volume histogram (DVH) prediction method for external beam radiation therapy plans with multiple planning target volumes (PTVs). MATERIALS AND METHODS: We present a novel DVH pr ... Full text Link to item Cite

Three IMRT advanced planning tools: A multi-institutional side-by-side comparison.

Journal Article J Appl Clin Med Phys · August 2019 PURPOSE: To assess three advanced radiation therapy treatment planning tools on the intensity-modulated radiation therapy (IMRT) quality and consistency when compared to the clinically approved plans, referred as manual plans, which were planned without us ... Full text Link to item Cite

Two Photon Dose Engines for Accurate and Fast Volumetric Modulated Arc Therapy

Conference 2019 Advances in Science and Engineering Technology International Conferences, ASET 2019 · May 14, 2019 Two photon dose computation engines based on pencil beam models were customized to meet the requirements of high conformity and fast computation for Volumetric Modulated Arc Therapy (VMAT) plans. The first model is designed to run through first VMAT iterat ... Full text Cite

Incorporating Case-Based Reasoning for Radiation Therapy Knowledge Modeling: A Pelvic Case Study

Conference Technology in Cancer Research and Treatment · January 1, 2019 Knowledge models in radiotherapy capture the relation between patient anatomy and dosimetry to provide treatment planning guidance. When treatment schemes evolve, existing models struggle to predict accurately. We propose a case-based reasoning framework d ... Full text Cite

Knowledge-Based Statistical Inference Method for Plan Quality Quantification.

Journal Article Technol Cancer Res Treat · January 1, 2019 AIM: The aim of the study is to develop a geometrically adaptive and statistically robust plan quality inference method. METHODS AND MATERIALS: We propose a knowledge-based plan quality inference method that references to similar plans in the historical da ... Full text Open Access Link to item Cite

A Collimator Setting Optimization Algorithm for Dual-Arc Volumetric Modulated Arc Therapy in Pancreas Stereotactic Body Radiation Therapy

Conference Technology in Cancer Research and Treatment · January 1, 2019 Purpose: To optimize collimator setting to improve dosimetric quality of pancreas volumetric modulated arc therapy plan for stereotactic body radiation therapy. Materials and Methods: Fifty-five volumetric modulated arc therapy cases in stereotactic body r ... Full text Cite

Goal-Driven Beam Setting Optimization for Whole-Breast Radiation Therapy.

Journal Article Technol Cancer Res Treat · January 1, 2019 PURPOSE: To develop an automated optimization program to generate optimal beam settings for whole-breast radiation therapy driven by clinically oriented goals. MATERIALS AND METHODS: Forty patients were retrospectively included in this study. Each patient' ... Full text Open Access Link to item Cite

Automatic Planning of Whole Breast Radiation Therapy Using Machine Learning Models.

Journal Article Front Oncol · 2019 Purpose: To develop an automatic treatment planning system for whole breast radiation therapy (WBRT) based on two intensity-modulated tangential fields, enabling near-real-time planning. Methods and Materials: A total of 40 WBRT plans from a single institu ... Full text Open Access Link to item Cite

Incorporating Case-Based Reasoning for Radiation Therapy Knowledge Modeling: A Pelvic Case Study.

Journal Article Technol Cancer Res Treat · January 1, 2019 Knowledge models in radiotherapy capture the relation between patient anatomy and dosimetry to provide treatment planning guidance. When treatment schemes evolve, existing models struggle to predict accurately. We propose a case-based reasoning framework d ... Full text Open Access Link to item Cite

Temporal lobe injury patterns following intensity modulated radiotherapy in a large cohort of nasopharyngeal carcinoma patients.

Journal Article Oral Oncol · October 2018 OBJECTIVES: To analyze the correlation between dose-volume-histograms (DVHs) with three patterns (edema, enhancement, and necrosis) of temporal lobe injury (TLI) in patients receiving intensity modulated radiation therapy (IMRT) for nasopharyngeal carcinom ... Full text Link to item Cite

Lung IMRT planning with automatic determination of beam angle configurations.

Journal Article Phys Med Biol · July 6, 2018 Beam angle configuration is a major planning decision in intensity modulated radiation treatment (IMRT) that has a significant impact on dose distributions and thus quality of treatment, especially in complex planning cases such as those for lung cancer tr ... Full text Link to item Cite

An Ensemble Approach to Knowledge-Based Intensity-Modulated Radiation Therapy Planning.

Journal Article Front Oncol · 2018 Knowledge-based planning (KBP) utilizes experienced planners' knowledge embedded in prior plans to estimate optimal achievable dose volume histogram (DVH) of new cases. In the regression-based KBP framework, previously planned patients' anatomical features ... Full text Open Access Link to item Cite

Outlier identification in radiation therapy knowledge-based planning: A study of pelvic cases.

Journal Article Med Phys · November 2017 PURPOSE: The purpose of this study was to apply statistical metrics to identify outliers and to investigate the impact of outliers on knowledge-based planning in radiation therapy of pelvic cases. We also aimed to develop a systematic workflow for identify ... Full text Link to item Cite

Exploring the Margin Recipe for Online Adaptive Radiation Therapy for Intermediate-Risk Prostate Cancer: An Intrafractional Seminal Vesicles Motion Analysis.

Journal Article Int J Radiat Oncol Biol Phys · June 1, 2017 PURPOSE: To provide a benchmark for seminal vesicle (SV) margin selection to account for intrafractional motion and to investigate the effectiveness of 2 motion surrogates in predicting intrafractional SV coverage. METHODS AND MATERIALS: Fifteen prostate p ... Full text Link to item Cite

Atlas-guided prostate intensity modulated radiation therapy (IMRT) planning.

Journal Article Phys Med Biol · September 21, 2015 An atlas-based IMRT planning technique for prostate cancer was developed and evaluated. A multi-dose atlas was built based on the anatomy patterns of the patients, more specifically, the percent distance to the prostate and the concaveness angle formed by ... Full text Link to item Cite

Standardized beam bouquets for lung IMRT planning.

Journal Article Phys Med Biol · March 7, 2015 The selection of the incident angles of the treatment beams is a critical component of intensity modulated radiation therapy (IMRT) planning for lung cancer due to significant variations in tumor location, tumor size and patient anatomy. We investigate the ... Full text Link to item Cite

Knowledge based automatic beam angle determination for lung IMRT planning

Conference IFMBE Proceedings · January 1, 2015 We present an efficient knowledge based automatic beam configuration determination method by utilizing patient-specific anatomy and tumor geometry information and a beam bouquet atlas. The proposed technique is based on learning the relationship between pa ... Full text Cite

TH-C-137-11: Dose-Guided Automatic IMRT Planning: A Feasibility Study.

Journal Article Med Phys · June 2013 PURPOSE: To develop and evaluate an automatic planning technique for prostate cancer utilizing prior expert plan's dose as guidance. METHODS: A plan atlas was created using 10 expert prostate IMRT plans covering a variety of typical anatomical configuratio ... Full text Link to item Cite