Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where X Zhang is active.

Publication


Featured researches published by X Zhang.


Technology in Cancer Research & Treatment | 2016

Application of Spatially Fractionated Radiation (GRID) to Helical Tomotherapy using a Novel TOMOGRID Template

X Zhang; J Penagaricano; Y Yan; Sunil Sharma; Robert J. Griffin; Matthew Hardee; Eun Young Han; V. Ratanatharathom

Spatially fractionated radiation therapy (GRID) with megavoltage x-ray beam is typically used to treat large and bulky malignant tumors. Currently most of the GRID treatment is performed by using the linear accelerator with either the multileaf collimator or with the commercially available block. A novel method to perform GRID treatments using Helical Tomotherapy (HT) was developed at the Radiation Oncology Department, College of Medicine, the University of Arkansas for Medical Sciences. In this study, we performed a dosimetric comparison of two techniques of GRID therapy: one on linear accelerator with a commercially available GRID block (LINAC-GRID) as planned on the Pinnacle planning station (P-TPS); and helical tomotherapy-based GRID (HT-GRID) technique using a novel virtual TOMOGRID template planned on Tomotherapy treatment planning station (HT-TPS). Three dosimetric parameters: gross target volume (GTV) dose distribution, GTV target dose inhomogeneity, and doses to regions of interest were compared. The comparison results show that HT-GRID dose distributions are comparable to those of LINAC-GRID for GTV coverage. Doses to the majority of organs-at-risk (OAR) are lower in HT-GRID as compared to LINAC-GRID. The maximum dose to the normal tissue is reduced by 120% for HT-GRID as compared to the LINACGRID. This study indicate that HT-GRID can be used to deliver spatially fractionated dose distributions while allowing 3-D optimization of dose to achieve superior sparing of OARs and confinement of high dose to target.


Journal of Applied Clinical Medical Physics | 2016

Spatially fractionated radiotherapy (GRID) using helical tomotherapy

X Zhang; J Penagaricano; Y Yan; Xiaoying Liang; S Morrill; Robert J. Griffin; P Corry; Vaneerat Ratanatharathorn

Spatially fractionated radiotherapy (GRID) was designed to treat large tumors while sparing skin, and it is usually delivered with a linear accelerator using a commercially available block or multileaf collimator (LINAC‐GRID). For deep‐seated (skin to tumor distance (>8 cm)) tumors, it is always a challenge to achieve adequate tumor dose coverage. A novel method to perform GRID treatment using helical tomotherapy (HT‐GRID) was developed at our institution. Our approach allows treating patients by generating a patient‐specific virtual GRID block (software‐generated) and using IMRT technique to optimize the treatment plan. Here, we report our initial clinical experience using HT‐GRID, and dosimetric comparison results between HT‐GRID and LINAC‐GRID. This study evaluates 10 previously treated patients who had deep‐seated bulky tumors with complex geometries. Five of these patients were treated with HT‐GRID and replanned with LINAC‐GRID for comparison. Similarly, five other patients were treated with LINAC‐GRID and replanned with HT‐GRID for comparison. The prescription was set such that the maximum dose to the GTV is 20 Gy in a single fraction. Dosimetric parameters compared included: mean GTV dose (DGTVmean), GTV dose inhomogeneity (valley‐to‐peak dose ratio (VPR)), normal tissue doses (DNmean), and other organs‐at‐risk (OARs) doses. In addition, equivalent uniform doses (EUD) for both GTV and normal tissue were evaluated. In summary, HT‐GRID technique is patient‐specific, and allows adjustment of the GRID pattern to match different tumor sizes and shapes when they are deep‐seated and cannot be adequately treated with LINAC‐GRID. HT‐GRID delivers a higher DGTVmean, EUD, and VPR compared to LINAC‐GRID. HT‐GRID delivers a higher DNmean and lower EUD for normal tissue compared to LINAC‐GRID. HT‐GRID plans also have more options for tumors with complex anatomical relationships between the GTV and the avoidance OARs (abutment or close proximity). PACS numbers: 87.55.D, 87.55.de, 87.55.ne, 87.55.tgSpatially fractionated radiotherapy (GRID) was designed to treat large tumors while sparing skin, and it is usually delivered with a linear accelerator using a commercially available block or multileaf collimator (LINAC-GRID). For deep-seated (skin to tumor distance (>8 cm)) tumors, it is always a challenge to achieve adequate tumor dose coverage. A novel method to perform GRID treatment using helical tomotherapy (HT-GRID) was developed at our institution. Our approach allows treating patients by generating a patient-specific virtual GRID block (software-generated) and using IMRT technique to optimize the treatment plan. Here, we report our initial clinical experience using HT-GRID, and dosimetric comparison results between HT-GRID and LINAC-GRID. This study evaluates 10 previously treated patients who had deep-seated bulky tumors with complex geometries. Five of these patients were treated with HT-GRID and replanned with LINAC-GRID for comparison. Similarly, five other patients were treated with LINAC-GRID and replanned with HT-GRID for comparison. The prescription was set such that the maximum dose to the GTV is 20 Gy in a single fraction. Dosimetric parameters compared included: mean GTV dose (DGTVmean), GTV dose inhomogeneity (valley-to-peak dose ratio (VPR)), normal tissue doses (DNmean), and other organs-at-risk (OARs) doses. In addition, equivalent uniform doses (EUD) for both GTV and normal tissue were evaluated. In summary, HT-GRID technique is patient-specific, and allows adjustment of the GRID pattern to match different tumor sizes and shapes when they are deep-seated and cannot be adequately treated with LINAC-GRID. HT-GRID delivers a higher DGTVmean, EUD, and VPR compared to LINAC-GRID. HT-GRID delivers a higher DNmean and lower EUD for normal tissue compared to LINAC-GRID. HT-GRID plans also have more options for tumors with complex anatomical relationships between the GTV and the avoidance OARs (abutment or close proximity). PACS numbers: 87.55.D, 87.55.de, 87.55.ne, 87.55.tg.


Technology in Cancer Research & Treatment | 2015

Dosimetric Comparison of Craniospinal Irradiation Using Different Tomotherapy Techniques

X Zhang; J Penagaricano; E. Y. Han; S Morrill; M. Hardee; Xiaoying Liang; S. K. Gupta; P Corry; V. Ratanatharathom

The objective of this study is to compare the new and conventional tomotherapy treatment techniques and to evaluate dosimetric differences between them. A dosimetric analysis was performed by comparing planning target volume (PTV) median dose, 95% of PTV dose coverage, Paddick conformity index (CI), homogeneity index (HI), whole-body integral dose, and OAR median doses. The beam on time (BOT) and the effect of different jaw sizes and pitch values was studied. The study results indicated that the PTV dose coverage for all the techniques was comparable. Treatment plans using dynamic jaw reduced OAR doses to structures located at the treatment field edge compared to fixed jaw plans. The HT-3DCRT plans resulted in higher OAR doses to kidney, liver, and lung compared to the other techniques, and TD-IMRT provided the best dose sparing to liver compared to other techniques. Whole-body integral dose differences were found to be insignificant among the techniques. BOT was found to be higher for fixed jaw treatment plan compared to dynamic jaw plan and comparable between all treatment techniques with 5-cm dynamic jaw. In studying effect of jaw size, better OAR sparing and HI were found for 2.5-cm jaw but at the expense of doubling of BOT as compared to 5-cm jaw. There was no significant improvement found in OAR sparing when the pitch value was increased. Increasing the pitch from 0.2 to 0.43, the CI was improved, HI improved only for 5-cm jaw size, and BOT decreased to approximately half of its original time.


Acta Oncologica | 2017

Therapeutic benefits in grid irradiation on Tomotherapy for bulky, radiation-resistant tumors

Ganesh Narayanasamy; X Zhang; Ali S. Meigooni; N Paudel; S Morrill; Sanjay Maraboyina; Loverd Peacock; J Penagaricano

Abstract Introduction: Spatially fractionated radiation therapy (SFRT or grid therapy) has proven to be effective in management of bulky tumors. The aim of this project is to study the therapeutic ratio (TR) of helical Tomotherapy (HT)-based grid therapy using linear–quadratic cell survival model. Material and Methods: HT-based grid (or HT-GRID) plan was generated using a patient-specific virtual grid pattern of high-dose cylindrical regions using MLCs. TR was defined as the ratio of normal tissue surviving fraction (SF) under HT-GRID irradiation to an open debulking field of an equivalent dose that result in the same tumor cell SF. TR was estimated from DVH data on ten HT-GRID patient plans with deep seated, bulky tumor. Dependence of the TR values on radiosensitivity of the tumor cells and prescription dose was analyzed. Results: The mean ± standard deviation (SD) of TR was 4.0 ± 0.7 (range: 3.1–5.5) for the 10 patients with single fraction maximum dose of 20 Gy to GTV assuming a tumor cell SF at 2 Gy (SF2t) value of 0·5. In addition, the mean ± SD of TR values for SF2t values of 0.3 and 0.7 were found to be 1 ± 0.1 and 18.0 ± 5.1, respectively. Reducing the prescription dose to 15 and 10 Gy lowered the respective TR values to 2.0 ± 0.2 and 1.2 ± 0.04 for a SF2t value of 0.5. Conclusion: HT-GRID therapy demonstrates a significant therapeutic advantage over uniform dose from an open field irradiation for the same tumor cell kill. TR increases with the radioresistance of the tumor cells and with prescription dose.


Medical Dosimetry | 2012

Static jaw collimation settings to minimize radiation dose to normal brain tissue during stereotactic radiosurgery

Eun Young Han; X Zhang; Y Yan; Sunil Sharma; J Penagaricano; Eduardo G. Moros; P Corry

At the University of Arkansas for Medical Sciences (UAMS) intracranial stereotactic radiosurgery (SRS) is performed by using a linear accelerator with an add-on micromultileaf collimator (mMLC). In our clinical setting, static jaws are automatically adapted to the furthest edge of the mMLC-defined segments with 2-mm (X jaw) and 5-mm (Y jaw) margin and the same jaw values are applied for all beam angles in the treatment planning system. This additional field gap between the static jaws and the mMLC allows additional radiation dose to normal brain tissue. Because a radiosurgery procedure consists of a single high dose to the planning target volume (PTV), reduction of unnecessary dose to normal brain tissue near the PTV is important, particularly for pediatric patients whose brains are still developing or when a critical organ, such as the optic chiasm, is near the PTV. The purpose of this study was to minimize dose to normal brain tissue by allowing minimal static jaw margin around the mMLC-defined fields and different static jaw values for each beam angle or arc. Dose output factors were measured with various static jaw margins and the results were compared with calculated doses in the treatment planning system. Ten patient plans were randomly selected and recalculated with zero static jaw margins without changing other parameters. Changes of PTV coverage, mean dose to predefined normal brain tissue volume adjacent to PTV, and monitor units were compared. It was found that the dose output percentage difference varied from 4.9-1.3% for the maximum static jaw opening vs. static jaw with zero margins. The mean dose to normal brain tissue at risk adjacent to the PTV was reduced by an average of 1.9%, with negligible PTV coverage loss. This dose reduction strategy may be meaningful in terms of late effects of radiation, particularly in pediatric patients. This study generated clinical knowledge and tools to consistently minimize dose to normal brain tissue.


Journal of Applied Clinical Medical Physics | 2017

Helical tomotherapy to LINAC plan conversion utilizing RayStation Fallback planning

X Zhang; J Penagaricano; Ganesh Narayanasamy; P Corry; TianXiao Liu; Maraboyina Sanjay; N Paudel; S Morrill

Abstract RaySearch RayStation Fallback (FB) planning module can generate an equivalent backup radiotherapy treatment plan facilitating treatment on other linear accelerators. FB plans were generated from the RayStation FB module by simulating the original plan target and organ at risk (OAR) dose distribution and delivered in various backup linear accelerators. In this study, helical tomotherapy (HT) backup plans used in Varian TrueBeam linear accelerator were generated with the RayStation FB module. About 30 patients, 10 with lung cancer, 10 with head and neck (HN) cancer, and 10 with prostate cancer, who were treated with HT, were included in this study. Intensity‐modulated radiotherapy Fallback plans (FB‐IMRT) were generated for all patients, and three‐dimensional conformal radiotherapy Fallback plans (FB‐3D) were only generated for lung cancer patients. Dosimetric comparison study evaluated FB plans based on dose coverage to 95% of the PTV volume (R95), PTV mean dose (Dmean), Paddicks conformity index (CI), and dose homogeneity index (HI). The evaluation results showed that all IMRT plans were statistically comparable between HT and FB‐IMRT plans except that PTV HI was worse in prostate, and PTV R95 and HI were worse in HN multitarget plans for FB‐IMRT plans. For 3D lung cancer plans, only the PTV R95 was statistically comparable between HT and FB‐3D plans, PTV Dmean was higher, and CI and HI were worse compared to HT plans. The FB plans using a TrueBeam linear accelerator generally offer better OAR sparing compared to HT plans for all the patients. In this study, all cases of FB‐IMRT plans and 9/10 cases of FB‐3D plans were clinically acceptable without further modification and optimization once the FB plans were generated. However, the statistical differences between HT and FB‐IMRT/3D plans might not be of any clinically significant. One FB‐3D plan failed to simulate the original plan without further optimization.


Medical Physics | 2015

SU‐E‐T‐346: Effect of Jaw Position On Dose to Critical Structures in 3‐D Conformal Radiotherapy Treatment of Pancreatic Cancer

N Paudel; Eun Young Han; Xiaoying Liang; S Morrill; X Zhang; Matthew Hardee; J Penagaricano; Vaneerat Ratanatharathorn

Purpose: Three-dimensional conformal therapy remains a valid and widely used modality for pancreatic radiotherapy treatment. It usually meets dose constraints on critical structures. However, careful positioning of collimation jaws can reduce dose to the critical structures. Here we investigate the dosimetric effect of jaw position in MLC-based 3-D conformal treatment planning on critical structures. Methods: We retrospectively selected seven pancreatic cancer patients treated with 3-D conformal radiotherapy. We started with treatment plans (Varian Truebeam LINAC, Eclipse TPS, AAA, 18MV) having both x and y jaws aligned with the farthest extent of the block outline (8mm around PTV). Then we subsequently moved either both x-jaws or all x and y jaws outwards upto 3 cm in 1 cm increments and investigated their effect on average and maximum dose to neighboring critical structures keeping the same coverage to treatment volume. Results: Lateral displacement of both x-jaws by 1cm each increased kidney and spleen mean dose by as much as 1.7% and 1.3% respectively and superior inferior displacement increased liver, right kidney, stomach and spleen dose by as much as 2.1%, 2%, 5.2% and 1.6% respectively. Displacement of all x and y-jaws away by 1cm increased the mean dose to liver, right kidney, left kidney, bowels, cord, stomach and spleen by as much as 4.9%, 5.9%, 2.1%, 2.8%, 7.4%, 10.4% and 4.2% respectively. Percentage increase in mean dose due to 2 and 3cm jaw displacement increased almost linearly with the displaced distance. Changes in maximum dose were much smaller (mostly negligible) than the changes in mean dose. Conclusion: Collimation jaw position affects dose mostly to critical structures adjacent to it. Though treatment plans with MLCs conforming the block margin usually meet dose constraints to critical structures, keeping jaws all the way in, to the edge of the block reduces dose to the critical structures during radiation treatment.


Medical Dosimetry | 2015

Dosimetric effect on pediatric conformal treatment plans using dynamic jaw with Tomotherapy HDA

Eun Young Han; Dong Wook Kim; X Zhang; J Penagaricano; Xiaoying Liang; Matthew Hardee; Steve Morrill; Vaneerat Ratanatharathorn

It is important to minimize the radiation dose delivered to healthy tissues in pediatric cancer treatment because of the risk of secondary malignancies. Tomotherapy HDA provides a dynamic jaw (DJ) delivery mode that creates a sharper penumbra at the craniocaudal ends of a target in addition to a fixed jaw (FJ) delivery mode. The purpose of this study was to evaluate its dosimetric effect on the pediatric cancer cases. We included 6 pediatric cases in this study. The dose profiles and plan statistics—target dose conformity, uniformity, organ-at-risk (OAR) mean dose, beam-on time, and integral dose—were compared for each case. Consequently, the target dose coverage and uniformity were similar for different jaw settings. The OAR dose sparing depended on its relative location to the target and disease sites. For example, in the head and neck cancer cases, the brain stem dose using DJ 2.5 was reduced by more than two-fold (2.4 Gy vs. 6.3 Gy) than that obtained with FJ 2.5. The integral dose with DJ 2.5 decreased by more than 9% compared with that with FJ 2.5. Thus, using dynamic jaw in pediatric cases could be critical to reduce a probability of a secondary malignancy.


Medical Physics | 2011

SU‐C‐BRB‐01: Spatially Fractionated Radiation Therapy (GRID) Using a TomoTherapy Unit

Y Yan; J Penagaricano; P Corry; Eduardo G. Moros; K. Gardner; E Han; X Zhang; M. Chao; Robert J. Griffin; Vaneerat Ratanatharathorn

Purpose: To present a new technique to plan and deliver spatially‐fractionated radiotherapy (GRID) utilizing helical TomoTherapy IGRT system. Methods: In a single large dose (20 Gy), GRID offers an effective radiation therapy for bulky malignant tumors. The conventional GRID irradiation is delivered through a dedicated grid block or field intensity modulation using a multileaf collimator(MLC). However, the dose to nearby organs‐at‐risk (OAR) becomes a concern when treating deep seated bulky lesions in GRID technique. So With its capability of delivering highly conformal and multifocal dose distributions, TomoTherapy emerges as a promising radiotherapy modality for GRID therapy that delivers high single dose to deep seated tumors with excellent normal tissue sparing. It is called TOMO GRID. Planning CTimages and contours are exported from a Pinnacle3 planning workstation via DICOM connection to the in‐house developed software system, DICOMan, where Boolean operations are applied to GTV contours to create multiple parallel GRID targets. An avoidance (GTV ‐ GRID targets) structure is also created to help the inverse planning process to achieve the desired peak‐valley ratio. Those CTimages and contours will be repackaged in DICOMan and sent to TomoTherapy planning workstation.Results: TOMO GRID delivers highly non‐uniform dose distributions that resemble more or less those of breachytherapy. The TOMO GRID targets (virtual implants) can be configured in various patterns (templates), sectional shapes and sizes. At each “insert” position, the implant can be in either “needle” or “seed‐spacer” train. Tested in both phantom and real patient datasets, our results show that it is feasible to deliver GRID therapy on TomoTherapy unit for deep seated lesions Conclusions: TomoTherapy has a great potential to deliver GRID therapy with a superior quality than conventional GRID therapy. More studies need to be conducted to justify the applicability of this technology in clinics.


Medical Physics | 2009

SU‐FF‐T‐609: Dose Summation Technology for Radiation Therapy Facilities Equipped with Heterogeneous Planning and Delivery Systems

Y Yan; Y Dou; J Penagaricano; Vaneerat Ratanatharathorn; K Gardner; Eduardo G. Moros; P Corry; X Zhang; M Chao; I Mihaylov

Purpose: Multi‐modality dose summation is often needed for patients who have been previously treated or are being treated with different systems, but unfortunately, it is rarely available in commercial treatment planning systems. This study presents a technology that sums up 3D dose distributions planned/delivered by different treatment systems to help the radiation therapy team in making optimal plans. Methods and Materials: Ideally, dose summation would be carried out through DICOM RTDOSE import/export, but this option is presently non functional because the import capability is difficult to implement. To remedy the lack of RTDOSE import in our clinic, a software system, DICOMan, was developed to address DICOM issues such as object visualization, system incompatibility, file transfer and format conversion, etc. DICOMan first acts as a DICOM storage server receiving DICOM RTDOSE file that is exported from a planning workstation. It then reads the dose matrix, converts it to another format that is recognizable by the other treatment planning system where dose summation or plan comparison is performed. Results: RTDOSE was exported from the HiArt Tomotherapy Planning System to DICOMan, where it was displayed and converted to the Philips Pinnacle RTPdose format along with specific scripting files that automate the file transfer and the dose summation process. Conclusion: A dose summation function is very useful and sometimes critical in radiation therapy clinics equipped with heterogeneous planning and delivery systems. It reduces uncertainties in the case of multiple treatment systems or patients transferred to other systems. It provides quantitative rather than qualitative dose estimations. Before DICOM RTDOSE import/export becomes widely implemented, the technology described here is helpful in assisting radiation therapy clinics to deliver quality care in the multisystem setting which is so prevalent.

Collaboration


Dive into the X Zhang's collaboration.

Top Co-Authors

Avatar

J Penagaricano

University of Arkansas for Medical Sciences

View shared research outputs
Top Co-Authors

Avatar

S Morrill

University of Arkansas for Medical Sciences

View shared research outputs
Top Co-Authors

Avatar

P Corry

University of Arkansas for Medical Sciences

View shared research outputs
Top Co-Authors

Avatar

Vaneerat Ratanatharathorn

University of Arkansas for Medical Sciences

View shared research outputs
Top Co-Authors

Avatar

Y Yan

University of Texas Southwestern Medical Center

View shared research outputs
Top Co-Authors

Avatar

N Paudel

University of Arkansas

View shared research outputs
Top Co-Authors

Avatar

Xiaoying Liang

University of Arkansas for Medical Sciences

View shared research outputs
Top Co-Authors

Avatar

Eduardo G. Moros

University of South Florida

View shared research outputs
Top Co-Authors

Avatar

Eun Young Han

University of Arkansas for Medical Sciences

View shared research outputs
Top Co-Authors

Avatar

Ganesh Narayanasamy

University of Arkansas for Medical Sciences

View shared research outputs
Researchain Logo
Decentralizing Knowledge