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Dive into the research topics where A. Amoush is active.

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Featured researches published by A. Amoush.


Journal of Applied Clinical Medical Physics | 2015

Episcleral eye plaque dosimetry comparison for the Eye Physics EP917 using Plaque Simulator and Monte Carlo simulation

Leonard W. Zimmermann; A. Amoush; D Wilkinson

This work is a comparative study of the dosimetry calculated by Plaque Simulator, a treatment planning system for eye plaque brachytherapy, to the dosimetry calculated using Monte Carlo simulation for an Eye Physics model EP917 eye plaque. Monte Carlo (MC) simulation using MCNPX 2.7 was used to calculate the central axis dose in water for an EP917 eye plaque fully loaded with 17 IsoAid Advantage  125I seeds. In addition, the dosimetry parameters Λ, gL(r), and F(r,θ) were calculated for the IsoAid Advantage model IAI‐125  125I seed and benchmarked against published data. Bebig Plaque Simulator (PS) v5.74 was used to calculate the central axis dose based on the AAPM Updated Task Group 43 (TG‐43U1) dose formalism. The calculated central axis dose from MC and PS was then compared. When the MC dosimetry parameters for the IsoAid Advantage  125I seed were compared with the consensus values, Λ agreed with the consensus value to within 2.3%. However, much larger differences were found between MC calculated gL(r) and F(r,θ) and the consensus values. The differences between MC‐calculated dosimetry parameters are much smaller when compared with recently published data. The differences between the calculated central axis absolute dose from MC and PS ranged from 5% to 10% for distances between 1 and 12 mm from the outer scleral surface. When the dosimetry parameters for the  125I seed from this study were used in PS, the calculated absolute central axis dose differences were reduced by 2.3% from depths of 4 to 12 mm from the outer scleral surface. We conclude that PS adequately models the central dose profile of this plaque using its defaults for the IsoAid model IAI‐125 at distances of 1 to 7 mm from the outer scleral surface. However, improved dose accuracy can be obtained by using updated dosimetry parameters for the IsoAid model IAI‐125  125I seed. PACS number: 87.55.K‐This work is a comparative study of the dosimetry calculated by Plaque Simulator, a treatment planning system for eye plaque brachytherapy, to the dosimetry calculated using Monte Carlo simulation for an Eye Physics model EP917 eye plaque. Monte Carlo (MC) simulation using MCNPX 2.7 was used to calculate the central axis dose in water for an EP917 eye plaque fully loaded with 17 IsoAid Advantage  125I seeds. In addition, the dosimetry parameters Λ, gL(r), and F(r,θ) were calculated for the IsoAid Advantage model IAI-125  125I seed and benchmarked against published data. Bebig Plaque Simulator (PS) v5.74 was used to calculate the central axis dose based on the AAPM Updated Task Group 43 (TG-43U1) dose formalism. The calculated central axis dose from MC and PS was then compared. When the MC dosimetry parameters for the IsoAid Advantage  125I seed were compared with the consensus values, Λ agreed with the consensus value to within 2.3%. However, much larger differences were found between MC calculated gL(r) and F(r,θ) and the consensus values. The differences between MC-calculated dosimetry parameters are much smaller when compared with recently published data. The differences between the calculated central axis absolute dose from MC and PS ranged from 5% to 10% for distances between 1 and 12 mm from the outer scleral surface. When the dosimetry parameters for the  125I seed from this study were used in PS, the calculated absolute central axis dose differences were reduced by 2.3% from depths of 4 to 12 mm from the outer scleral surface. We conclude that PS adequately models the central dose profile of this plaque using its defaults for the IsoAid model IAI-125 at distances of 1 to 7 mm from the outer scleral surface. However, improved dose accuracy can be obtained by using updated dosimetry parameters for the IsoAid model IAI-125  125I seed. PACS number: 87.55.K.


Journal of Applied Clinical Medical Physics | 2015

Potential systematic uncertainties in IGRT when FBCT reference images are used for pancreatic tumors

A. Amoush; May Abdel-Wahab; M. Abazeed; P. Xia

The purpose of this study was to quantify the systematic uncertainties resulting from using free breathing computed tomography (FBCT) as a reference image for image‐guided radiation therapy (IGRT) for patients with pancreatic tumors, and to quantify the associated dosimetric impact that resulted from using FBCT as reference for IGRT. Fifteen patients with implanted fiducial markers were selected for this study. For each patient, a FBCT and an average intensity projection computed tomography (AIP) created from four‐dimensional computed tomography (4D CT) were acquired at the simulation. The treatment plan was created based on the FBCT. Seventy‐five weekly kilovoltage (kV) cone‐beam computed tomography (CBCT) images (five for each patient) were selected for this study. Bony alignment without rotation correction was performed 1) between the FBCT and CBCT, 2) between the AIP and CBCT, and 3) between the AIP and FBCT. The contours of the fiducials from the FBCT and AIP were transferred to the corresponding CBCT and were compared. Among the 75 CBCTs, 20 that had >3 mm differences in centers of mass (COMs) in any directions between the FBCT and AIP were chosen for further dosimetric analysis. These COM discrepancies were converted into isocenter shifts in the corresponding planning FBCT, and dose was recalculated and compared to the initial FBCT plans. For the 75 CBCTs studied, the mean absolute differences in the COMs of the fiducial markers between the FBCT and CBCTs were 3.3 mm±2.5 mm,3.5 mm±2.4 mm, and 5.8 mm±4.4 mm in the right–left (RL), anterior–posterior (AP), and superior–inferior (SI) directions, respectively. Between the AIP and CBCTs, the mean absolute differences were 3.2 mm±2.2 mm,3.3 mm±2.3 mm, and 6.3 mm±5.4 mm. The absolute mean discrepancies in these COMs shifts between FBCT/CBCT and AIP/CBCT were 1.1 mm±0.8 mm,1.3 mm±0.9 mm, and 3.3 mm±2.6 mm in RL, AP, and SI, respectively. This represented a potential systematic error. For the 20 CBCTs that had COM discrepancies >3 mm in any direction, the average reduction in planning target volume (PTV) coverage (PTV volume receiving 100% of prescription dose) was 5.3%±3.1% (range: 0.7%–12.8%). Using FBCT as a reference for IGRT may introduce potential interfractional systematic COM shifts if the FBCT is acquired at a different breathing phase than the average breathing phase. The potential systematic error could be significant in the SI direction and varied among patients for the other directions. AIP is a better choice of reference image set for IGRT in order to correct interfractional variations due to respiratory motion and nonrespiratory organ displacement. PACS numbers: 87.55.D, 87.55.dk, 87.55.km


International Journal of Radiation Oncology Biology Physics | 2016

Risk of Second Primary Malignancy in Head and Neck Cancer Patients: A Population-Based Study

S. Shaaban; B.M. Rabatic; N.A. Madden; D. Zaenger; J.A. Marascio; J.K. Byrd; M. Groves; C.A. Solares; P.M. Weinberger; E.M. Marchan; A. Al-Basheer; A. Amoush; M. Aletan; M. Pishgou; Katharine N. Ciarrocca; M. Salgueiro; C.L. Ferguson; Scott S. DeRossi; Frank Mott; W.F. Mourad


International Journal of Cancer Therapy and Oncology | 2015

Volumetric modulated arc therapy for spine SBRT patients to reduce treatment time and intrafractional motion

A. Amoush; Allison Dalton; B.M. Rabatic; K. Huang; A. Al-Basheer


Journal of Clinical Oncology | 2016

Mediastinal germ cell tumors and development of secondary leukemia and solid tumors.

N.A. Madden; B.M. Rabatic; D. Zaenger; J.A. Marascio; E.M. Marchan; B.G. Dasher; W. Martin; J. Howington; M. Aletan; J.G. Stewart; M. Pishgou; A. Amoush; C.L. Ferguson; F.P. Kong; W.F. Mourad


Journal of Clinical Oncology | 2016

Factors associated with secondary malignancy in pediatric Hodgkin's lymphoma.

N.A. Madden; B.M. Rabatic; D. Zaenger; J.A. Marascio; S. Shaaban; C.L. Ferguson; Theodore S. Johnson; E.M. Marchan; W. Martin; M. Pishgou; J. Howington; J.G. Stewart; M. Aletan; A. Amoush; K. Huang; A. Al-Basheer; B.G. Dasher; F.P. Kong; W.F. Mourad


Journal of Clinical Oncology | 2016

Chemotherapy-related qualitative, quantitative, anatomic and volumetric changes of the major salivary glands during concurrent head and neck therapy.

B.M. Rabatic; D. Zaenger; N.A. Madden; J.A. Marascio; Jeffrey Campbell; Katharine N. Ciarrocca; Scott S. DeRossi; Darko Pucar; E.M. Marchan; J.G. Stewart; A. Amoush; S. Shaaban; Molly K Nettles; M. Pishgou; J. Kenneth Byrd; Arturo C. Solares; Frank Mott; F.P. Kong; C.L. Ferguson; W.F. Mourad


Journal of Clinical Oncology | 2016

Renal cell carcinoma: The effect of targeted therapies on clear cell and non-clear cell histologies.

J.A. Marascio; B.M. Rabatic; D. Zaenger; N.A. Madden; E.M. Marchan; David McDermott; A.K. Misiura; S. Shaaban; B.G. Dasher; K. Huang; M. Pishgou; W. Martin; M. Aletan; J. Howington; A. Al-Basheer; A. Amoush; J.G. Stewart; F.P. Kong; C.L. Ferguson; W.F. Mourad


International Journal of Radiation Oncology Biology Physics | 2016

Dynamic Changes of Major Salivary Glands During Head and Neck Intensity Modulated Radiation Therapy

B.M. Rabatic; D. Zaenger; N.A. Madden; J.A. Marascio; Katharine N. Ciarrocca; Scott S. DeRossi; A. Amoush; A. Al-Basheer; A. Green; K. Huang; C.A. Solares; M. Groves; J.K. Byrd; J. Brown; M. Salgueiro; S. Shaaban; M. Pishgou; Frank Mott; C.L. Ferguson; W.F. Mourad


International Journal of Radiation Oncology Biology Physics | 2016

Evaluating the Impact of Sentinel Node Biopsy in Merkel Cell Carcinoma

J.A. Marascio; N.A. Madden; D. Zaenger; B.M. Rabatic; David McDermott; A.K. Misiura; S. Shaaban; E.M. Marchan; K. Huang; A. Amoush; A. Al-Basheer; A. Green; B.G. Dasher; J. Howington; J.G. Stewart; W. Martin; M. Pishgou; C.L. Ferguson; F.M. Kong; W.F. Mourad

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B.M. Rabatic

Georgia Regents University

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C.L. Ferguson

Georgia Regents University

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D. Zaenger

Georgia Regents University

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W.F. Mourad

Georgia Regents University

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A. Al-Basheer

Georgia Regents University

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J.A. Marascio

Georgia Regents University

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M. Pishgou

Georgia Regents University

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N.A. Madden

Georgia Regents University

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E.M. Marchan

Georgia Regents University

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S. Shaaban

Georgia Regents University

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