A5033323953- Advanced Radiotherapy Techniques
- Radiation Therapy and Dosimetry
- Breast Cancer Treatment Studies
- Head and Neck Cancer Studies
- Prostate Cancer Diagnosis and Treatment
- Lung Cancer Diagnosis and Treatment
- Radiomics and Machine Learning in Medical Imaging
- Cardiac Imaging and Diagnostics
- Boron Compounds in Chemistry
- Gastric Cancer Management and Outcomes
- Advances in Oncology and Radiotherapy
- Management of metastatic bone disease
- Nuclear physics research studies
- Medical Imaging Techniques and Applications
- Prostate Cancer Treatment and Research
- Esophageal Cancer Research and Treatment
- Cardiovascular Function and Risk Factors
- Colorectal and Anal Carcinomas
- Quantum Chromodynamics and Particle Interactions
- Radiation Dose and Imaging
- Nuclear Physics and Applications
- Breast Lesions and Carcinomas
- Cardiac tumors and thrombi
- Colorectal Cancer Treatments and Studies
- Breast Implant and Reconstruction
The University of Texas MD Anderson Cancer Center
2021-2025
University of Utah
2025
Mayo Clinic
2014-2023
WinnMed
2017-2023
The University of Texas Health Science Center at Houston
2022-2023
Mayo Clinic in Florida
2021
Mayo Clinic in Arizona
2013-2020
Baylor College of Medicine
2020
Baylor University
2019
University of Minnesota Rochester
2019
Purpose: This study aimed to use deep learning-based dose prediction assess head and neck (HN) plan quality identify suboptimal plans. Methods: A total of 245 VMAT HN plans were created using RapidPlan knowledge-based planning (KBP). subset 112 high-quality was selected under the supervision an radiation oncologist. We trained a 3D Dense Dilated U-Net architecture predict 3-dimensional distributions 3-fold cross-validation on 90 Model inputs included CT images, target prescriptions, contours...
The proton and deuteron analyzing powers ten of the possible 12 spin correlation coefficients have been measured for $p+d$ elastic scattering at bombarding energies 135 200 MeV. results are compared with Faddeev calculations using two different $\mathit{NN}$ potentials. qualitative features extensive data set on dependence in over a wide range angles presented here remarkably well explained by two-nucleon force predictions without inclusion three-nucleon force. remaining discrepancies are,...
The aim of this study was to use calorimetry understand the difference in energy transferred by three phacoemulsification surgical platforms eye. A tip lowered into a double-walled calorimeter filled with distilled water. foot pedal depressed for 30 seconds and change temperature water measured probe. Three systems were compared: Alcon Centurion, Johnson & Veritas Oertli CataRhex 3. following conditions remained constant across trials platforms: continuous longitudinal ultrasound, flow rate...
Abstract Background Recent studies have shown deep learning techniques are able to predict three‐dimensional (3D) dose distributions of radiotherapy treatment plans. However, their use in prediction for treatments with varied prescription doses including simultaneous integrated boost (SIB), that is, using multiple within the same plan, and benefit improving plan quality should be validated. Purpose To investigate feasibility potential distribution volumetric modulated arc therapy (VMAT) SIB...
Abstract Objective:
To evaluate the impact of beam mask implementation and data aggregation on artificial intelligence-based dose prediction accuracy in proton therapy, with a focus scenarios involving limited or highly heterogeneous datasets.
Approach:
In this study, 541 prostate 632 head neck (H&N) therapy plans were used to train convolutional neural networks designed for task prediction. Datasets grouped by anatomical site configuration assess masks—graphical...
Purpose: This study aimed to compare long-term patient-reported outcomes in bowel and urinary domains between intensity-modulated radiotherapy (IMRT) proton therapy (IMPT) for localized prostate cancer. Methods Materials: Patients with clinical T1–T2 cancer receiving IMRT or IMPT at a tertiary center from 2015–2018 were analyzed determine the changes prospectively collected function (BF), irritative/obstructive symptoms (UO), incontinence (UI) of EPIC-26. The mean EPIC-26 scores evaluated...
The purpose of this work was to develop an end-to-end patient-specific quality assurance (QA) technique for spot-scanned proton therapy that is more sensitive and efficient than traditional approaches. methodology relies on independently verifying the accuracy delivered fluence dose calculation in heterogeneous patient volume. A Monte Carlo engine, which developed in-house, recalculates a planned distribution CT data set verify represented by treatment planning system. plan then...
This study aimed to investigate the feasibility of using a knowledge-based planning technique detect poor quality VMAT plans for patients with head and neck cancer. We created two dose-volume histogram (DVH) prediction models commercial system (RapidPlan, Varian Medical Systems, Palo Alto, CA) from generated by manual (MP) automated (AP) approaches. DVHs were predicted evaluation cohort 1 (EC1) 25 compared achieved MP AP evaluate accuracy. Additionally, we 2 (EC2) which intentionally...
Abstract Background and purpose To report dosimetry early adverse effects, aesthetic, patient-reported outcomes of a prospective study 3-fraction pencil-beam scanning (PBS) proton accelerated partial irradiation (APBI). Materials methods Eligibility included women age ≥ 50 years with estrogen receptor positive (ER+), sentinel lymph node negative invasive or in-situ breast cancer measuring ≤2.5 cm. The prescription was 21.9 Gy (RBE 1.1) in 3 daily fractions to the post-operative tumor bed 1...
Abstract Background In recent years, deep‐learning models have been used to predict entire three‐dimensional dose distributions. However, the usability of predictions improve plan quality should be further investigated. Purpose To develop a model high‐quality distributions for volumetric modulated arc therapy (VMAT) plans patients with gynecologic cancer and evaluate their in driving improvements. Methods A total 79 VMAT female pelvis were train (47 plans), validate (16 test plans) 3D dense...
PurposePencil-beam scanning intensity modulated proton therapy (IMPT) may allow for an improvement in the therapeutic ratio compared with conventional techniques of radiation delivery pancreatic cancer. The purpose this study was to describe clinical implementation IMPT intact and clinically localized cancer, perform a matched dosimetric comparison volumetric arc (VMAT), report acute adverse event (AE) rates patient-reported outcomes (PROs) health-related quality life.Methods...
To compare dosimetric data of the organs at risk (OARs) and clinical target volumes (CTVs) between intensity-modulated proton therapy (IMPT) volumetric-modulated arc (VMAT) for patients undergoing prostate elective, pelvic lymph node radiotherapy in setting unfavorable, intermediate high-risk carcinoma.A study moderately hypofractionated (6750 centigray [cGy] 25 fractions) is progress cancer where treatment includes an elective nodal CTV (4500 cGy fractions). Ten consecutively accrued were...
Automatic review of breast plan quality for clinical trials is time-consuming and has some unique challenges due to the lack target contours planning techniques. We propose using an auto-contouring model statistical process control independently assess consistency in retrospective data from a radiotherapy trial.A deep learning was created tested quantitatively qualitatively on 104 post-lumpectomy patients' computed tomography images (nnUNet; train/test: 80/20). The then applied 127 patients...
We have measured three axial polarization observables in d-->p--> breakup with a polarized 270 MeV deuteron beam on proton target. Axial are zero by parity conservation elastic scattering but can be easily observed the channel at present energy. Based symmetry argument, sensitivity of these to three-nucleon force might enhanced. Calculations without fair agreement our measurement, indicating that expected is not confirmed. Including calculation does improve data.