A5051781634- Advanced Radiotherapy Techniques
- Medical Imaging Techniques and Applications
- Radiation Therapy and Dosimetry
- Radiomics and Machine Learning in Medical Imaging
- Lung Cancer Diagnosis and Treatment
- Advanced X-ray and CT Imaging
- Radiation Dose and Imaging
- MRI in cancer diagnosis
- Radiation Detection and Scintillator Technologies
- Esophageal Cancer Research and Treatment
- Advanced MRI Techniques and Applications
- Blood properties and coagulation
- Atomic and Subatomic Physics Research
- Medical Image Segmentation Techniques
- Diabetic Foot Ulcer Assessment and Management
- Breast Cancer Treatment Studies
- Digital Imaging for Blood Diseases
- Management of metastatic bone disease
- Endometrial and Cervical Cancer Treatments
- Opioid Use Disorder Treatment
- Electron and X-Ray Spectroscopy Techniques
- Pancreatic and Hepatic Oncology Research
- Head and Neck Cancer Studies
- Digital Radiography and Breast Imaging
- Gastric Cancer Management and Outcomes
The University of Texas MD Anderson Cancer Center
2004-2023
Moffitt Cancer Center
2013-2022
Royal Prince Alfred Hospital
2022
University of California, Los Angeles
2020
University of South Florida
2008-2018
China Medical University
2009
The University of Texas Southwestern Medical Center
2006-2008
The University of Texas Health Science Center at Houston
2004
Many radiomics features were originally developed for non-medical imaging applications and therefore original assumptions may need to be reexamined. In this study, we investigated the impact of slice thickness pixel spacing (or size) on extracted from Computed Tomography (CT) phantom images acquired with different scanners as well acquisition reconstruction parameters. The dependence CT texture gray-level discretization was also evaluated.A composed 10 cartridges materials scanned eight...
Abstract Radiomic features are potential imaging biomarkers for therapy response assessment in oncology. However, the robustness of with respect to parameters is not well established. Previously identified were found be intrinsically dependent on voxel size and number gray levels (GLs) a recent texture phantom investigation. Here, we validate GL in-phantom normalizations lung tumors. Eighteen patients non-small cell cancer varying tumor volumes analyzed. To compare patient data, scans...
Abstract Breast cancer is one of the most harmful diseases for women with highest morbidity. An efficient way to decrease its mortality diagnose earlier by screening. Clinically, best approach screening Asian ultrasound images combined biopsies. However, biopsy invasive and it gets incomprehensive information lesion. The aim this study build a model automatic detection, segmentation, classification breast lesions images. Based on deep learning, technique using Mask regions convolutional...
Purpose Radiomics, which extract large amount of quantification image features from diagnostic medical images had been widely used for prognostication, treatment response prediction and cancer detection. The options lung nodules depend on their diagnosis, benign or malignant. Conventionally, nodule diagnosis is based invasive biopsy. Recently, radiomics features, a non-invasive method clinical images, have shown high potential in lesion classification, outcome prediction. Methods Lung...
We introduce a logical process of three distinct phases to begin the evaluation new 3D dosimetry array. The array under investigation is hollow cylinder phantom with diode detectors fixed in helical shell forming an "O" axial detector cross section (ArcCHECK), comparisons drawn previously studied diodes two crossing planes "X" (Delta⁴). Phase I testing ArcCHECK establishes: robust relative calibration (response equalization) individual detectors, minor field size dependency response not...
Radiomics is being explored for potential applications in radiation therapy. How various imaging protocols affect quantitative image features currently a highly active area of research. To assess the variability derived from conventional [three-dimensional (3D)] and respiratory-gated (RG) positron emission tomography (PET)/computed (CT) images lung cancer patients, were computed 23 patients. Both each patient acquired during same session. PET tumor volumes segmented using an adaptive...
Intraductal papillary mucinous neoplasms (IPMNs) are pancreatic cancer precursors incidentally discovered by cross-sectional imaging. Consensus guidelines for IPMN management rely on standard radiologic features to predict pathology, but they lack accuracy. Using a retrospective cohort of 38 surgically-resected, pathologically-confirmed IPMNs (20 benign; 18 malignant) with preoperative computed tomography (CT) images and matched plasma-based 'miRNA genomic classifier (MGC)' data, we...
Site-specific investigations of the role radiomics in cancer diagnosis and therapy are emerging. We evaluated reproducibility radiomic features extracted from 18 Flourine-fluorodeoxyglucose (18 F-FDG) PET images for three parameters: manual versus computer-aided segmentation methods, gray-level discretization, image reconstruction algorithms. Our cohort consisted pretreatment PET/CT scans 88 cervical patients. Two board-certified radiation oncologists manually segmented metabolic tumor...
The purpose of this work was to develop and validate an automated method for intrathoracic tumour motion estimation from breath-hold computed tomography (BH CT) imaging using the three-dimensional optical flow (3D OFM). A modified 3D OFM algorithm provided displacement vectors each voxel which were used map voxels on expiration BH CT onto inspiration images. thoracic phantom simulated expiration/inspiration pairs validation. applied measured images one lung cancer oesophageal patient....
Purpose: To develop and validate a volume-modulated arc therapy (VMAT) quality assurance (QA) tool that takes as input time-resolved, low-density (∼10 mm) cylindrical surface dose map from commercial helical diode array, outputs high density, volumetric, time-resolved matrix on an arbitrary patient dataset. This first validation study is limited to homogeneous "patient." Methods: A VMAT treatment delivered array phantom (ARCCHECK, Sun Nuclear Corp., Melbourne, FL). 3DVH software (Sun...
Frequently, three-dimensional (3D) conformal beams are used in lung cancer stereotactic body radiotherapy (SBRT). Recently, volumetric modulated arc therapy (VMAT) was introduced as a new treatment modality. VMAT techniques shorten delivery time, reducing the possibility of intrafraction target motion. However dose distributions can be quite different from standard 3D therapy. This study quantifies those differences, with focus on plans using unflattened photon beams.A total 15 patients...
The effects of respiratory motion on the tumor dose can be divided into gradient and interplay effects. While effect is likely to average out over a large number fractions, it may play role in hypofractionated [stereotactic body radiation therapy (SBRT)] treatments. This subject has been extensively studied for intensity modulated but less so volumetric arc (VMAT), particularly application regimens. Also, no experimental study provided full four-dimensional (4D) reconstruction this scenario....
Even with advanced inverse‐planning techniques, radiation treatment plan optimization remains a very time‐consuming task great output variability, which prompted the development of more automated approaches. One commercially available technique mimics actions experienced human operators to progressively guide traditional process automatically created regions interest and associated dose‐volume objectives. We report on initial evaluation this algorithm 10 challenging cases locoreginally head...
Despite improvements in optimization and automation algorithms, the quality of radiation treatment plans still varies dramatically. A tool that allows a priori estimation best possible sparing (Feasibility DVH, or FDVH) an organ at risk (OAR) high-energy photon planning may help reduce plan variability by deriving patient-specific OAR goals prior to optimization. Such be useful for (a) meaningfully evaluating (b) supplying theoretically achievable DVH goals, thus pushing solution toward...
We performed an initial dosimetric evaluation of SmartArc – a novel VMAT planning module for the Philips Pinnacle treatment system. It was implemented in multi‐vendor environment, with other two major components delivery chain being MOSAIQ record and verify system (IMPAC Medical Systems, Sunnyvale, CA) Trilogy linac (Varian Palo Alto, CA). A test suite structure sets dose objectives provided by AAPM multi‐institutional comparison IMRT dosimetry used. total fifty plans were successfully...
Purpose: The goal of any dosimeter is to be as accurate possible when measuring absolute dose compare with calculated dose. This limits the uncertainties associated itself and allows task QA focus on detecting errors in treatment planning (TPS) and/or delivery systems. work introduces enhancements measurement accuracy a 3D comprised helical plane diodes volumetric phantom. Methods: We describe methods derivations new corrections that account for repetition rate dependence, intrinsic relative...
A high-resolution diode array has been comprehensively evaluated. It consists of 1013 point detectors arranged on the two 7.7 × cm2 printed circuit boards (PCBs). The PCBs are aligned face to in such a way that active volumes all diodes same plane. All individual correction factors required for accurate dosimetry have validated conventional and flattening filter free (FFF) 6MV beams. That included response equalization, linearity, repetition rate dependence, field size angular dependence at...
Large variability in computed tomography (CT) radiomics feature values due to CT imaging parameters can have subsequent implications on the prognostic or predictive significance of these features. Here, we investigated impact pitch, dose, and reconstruction kernel radiomic Moreover, introduced correction factors reduce by kernels. The credence cartridge American College Radiology (ACR) phantoms were scanned five different scanners. ACR phantom was used for 3-D noise power spectrum (NPS)...
3DVH software (Sun Nuclear Corp., Melbourne, FL) is capable of generating a volumetric patient VMAT dose by applying perturbation algorithm based on comparing measurement‐guided reconstruction and TPS‐calculated to cylindrical phantom. The primary purpose this paper validate an anthropomorphic heterogeneous thoracic phantom direct comparison independent measurements. dosimetric insert the novel, thus secondary goal demonstrate how it can be used for hidden target end‐to‐end testing...
Currently, the inhomogeneity of pulmonary function is not considered when treatment plans are generated in thoracic cancer radiotherapy. This study evaluates dose on highly-functional volumes and performs functional planning by incorporation ventilation data from 4D-CT. Eleven patients were included this retrospective study. Ventilation was calculated using Two for each case, first one without second with it. The overlapped analyzed. Highly-functional regions avoided plans. For small targets...