Evaluation of a commercial VMC++ Monte Carlo based treatment planning system for electron beams using EGSnrc/BEAMnrc simulations and measurements

In the present work, Monte Carlo (MC) models of electron beams (energies 4, 12 and 18 MeV) from an Elekta SL25 medical linear accelerator were simulated using EGSnrc/BEAMnrc user code. The calculated dose distributions were benchmarked by comparison with measurements made in a water phantom for a wi...

Full description

Saved in:
Bibliographic Details
Published inPhysica medica Vol. 25; no. 3; pp. 111 - 121
Main Authors Edimo, P., Clermont, C., Kwato, M.G., Vynckier, S.
Format Journal Article
LanguageEnglish
Published Italy Elsevier Ltd 01.09.2009
Subjects
Online AccessGet full text
ISSN1120-1797
1724-191X
DOI10.1016/j.ejmp.2008.07.001

Cover

Abstract In the present work, Monte Carlo (MC) models of electron beams (energies 4, 12 and 18 MeV) from an Elekta SL25 medical linear accelerator were simulated using EGSnrc/BEAMnrc user code. The calculated dose distributions were benchmarked by comparison with measurements made in a water phantom for a wide range of open field sizes and insert combinations, at a single source-to-surface distance (SSD) of 100 cm. These BEAMnrc models were used to evaluate the accuracy of a commercial MC dose calculation engine for electron beam treatment planning (Oncentra MasterPlan Treament Planning System (OMTPS) version 1.4, Nucletron) for two energies, 4 and 12 MeV. Output factors were furthermore measured in the water phantom and compared to BEAMnrc and OMTPS. The overall agreement between predicted and measured output factors was comparable for both BEAMnrc and OMTPS, except for a few asymmetric and/or small insert cutouts, where larger deviations between measurements and the values predicted from BEAMnrc as well as OMTPS computations were recorded. However, in the heterogeneous phantom, differences between BEAMnrc and measurements ranged from 0.5 to 2.0% between two ribs and 0.6–1.0% below the ribs, whereas the range difference between OMTPS and measurements was the same (0.5–4.0%) in both areas. With respect to output factors, the overall agreement between BEAMnrc and measurements was usually within 1.0% whereas differences up to nearly 3.0% were observed for OMTPS. This paper focuses on a comparison for clinical cases, including the effects of electron beam attenuations in a heterogeneous phantom. It, therefore, complements previously reported data (only based on measurements) in one other paper on commissioning of the VMC++ dose calculation engine. These results demonstrate that the VMC++ algorithm is more robust in predicting dose distribution than Pencil beam based algorithms for the electron beams investigated.
AbstractList In the present work, Monte Carlo (MC) models of electron beams (energies 4, 12 and 18MeV) from an Elekta SL25 medical linear accelerator were simulated using EGSnrc/BEAMnrc user code. The calculated dose distributions were benchmarked by comparison with measurements made in a water phantom for a wide range of open field sizes and insert combinations, at a single source-to-surface distance (SSD) of 100cm. These BEAMnrc models were used to evaluate the accuracy of a commercial MC dose calculation engine for electron beam treatment planning (Oncentra MasterPlan Treament Planning System (OMTPS) version 1.4, Nucletron) for two energies, 4 and 12MeV. Output factors were furthermore measured in the water phantom and compared to BEAMnrc and OMTPS. The overall agreement between predicted and measured output factors was comparable for both BEAMnrc and OMTPS, except for a few asymmetric and/or small insert cutouts, where larger deviations between measurements and the values predicted from BEAMnrc as well as OMTPS computations were recorded. However, in the heterogeneous phantom, differences between BEAMnrc and measurements ranged from 0.5 to 2.0% between two ribs and 0.6-1.0% below the ribs, whereas the range difference between OMTPS and measurements was the same (0.5-4.0%) in both areas. With respect to output factors, the overall agreement between BEAMnrc and measurements was usually within 1.0% whereas differences up to nearly 3.0% were observed for OMTPS. This paper focuses on a comparison for clinical cases, including the effects of electron beam attenuations in a heterogeneous phantom. It, therefore, complements previously reported data (only based on measurements) in one other paper on commissioning of the VMC++ dose calculation engine. These results demonstrate that the VMC++ algorithm is more robust in predicting dose distribution than Pencil beam based algorithms for the electron beams investigated.In the present work, Monte Carlo (MC) models of electron beams (energies 4, 12 and 18MeV) from an Elekta SL25 medical linear accelerator were simulated using EGSnrc/BEAMnrc user code. The calculated dose distributions were benchmarked by comparison with measurements made in a water phantom for a wide range of open field sizes and insert combinations, at a single source-to-surface distance (SSD) of 100cm. These BEAMnrc models were used to evaluate the accuracy of a commercial MC dose calculation engine for electron beam treatment planning (Oncentra MasterPlan Treament Planning System (OMTPS) version 1.4, Nucletron) for two energies, 4 and 12MeV. Output factors were furthermore measured in the water phantom and compared to BEAMnrc and OMTPS. The overall agreement between predicted and measured output factors was comparable for both BEAMnrc and OMTPS, except for a few asymmetric and/or small insert cutouts, where larger deviations between measurements and the values predicted from BEAMnrc as well as OMTPS computations were recorded. However, in the heterogeneous phantom, differences between BEAMnrc and measurements ranged from 0.5 to 2.0% between two ribs and 0.6-1.0% below the ribs, whereas the range difference between OMTPS and measurements was the same (0.5-4.0%) in both areas. With respect to output factors, the overall agreement between BEAMnrc and measurements was usually within 1.0% whereas differences up to nearly 3.0% were observed for OMTPS. This paper focuses on a comparison for clinical cases, including the effects of electron beam attenuations in a heterogeneous phantom. It, therefore, complements previously reported data (only based on measurements) in one other paper on commissioning of the VMC++ dose calculation engine. These results demonstrate that the VMC++ algorithm is more robust in predicting dose distribution than Pencil beam based algorithms for the electron beams investigated.
In the present work, Monte Carlo (MC) models of electron beams (energies 4, 12 and 18 MeV) from an Elekta SL25 medical linear accelerator were simulated using EGSnrc/BEAMnrc user code. The calculated dose distributions were benchmarked by comparison with measurements made in a water phantom for a wide range of open field sizes and insert combinations, at a single source-to-surface distance (SSD) of 100 cm. These BEAMnrc models were used to evaluate the accuracy of a commercial MC dose calculation engine for electron beam treatment planning (Oncentra MasterPlan Treament Planning System (OMTPS) version 1.4, Nucletron) for two energies, 4 and 12 MeV. Output factors were furthermore measured in the water phantom and compared to BEAMnrc and OMTPS. The overall agreement between predicted and measured output factors was comparable for both BEAMnrc and OMTPS, except for a few asymmetric and/or small insert cutouts, where larger deviations between measurements and the values predicted from BEAMnrc as well as OMTPS computations were recorded. However, in the heterogeneous phantom, differences between BEAMnrc and measurements ranged from 0.5 to 2.0% between two ribs and 0.6–1.0% below the ribs, whereas the range difference between OMTPS and measurements was the same (0.5–4.0%) in both areas. With respect to output factors, the overall agreement between BEAMnrc and measurements was usually within 1.0% whereas differences up to nearly 3.0% were observed for OMTPS. This paper focuses on a comparison for clinical cases, including the effects of electron beam attenuations in a heterogeneous phantom. It, therefore, complements previously reported data (only based on measurements) in one other paper on commissioning of the VMC++ dose calculation engine. These results demonstrate that the VMC++ algorithm is more robust in predicting dose distribution than Pencil beam based algorithms for the electron beams investigated.
Abstract In the present work, Monte Carlo (MC) models of electron beams (energies 4, 12 and 18 MeV) from an Elekta SL25 medical linear accelerator were simulated using EGSnrc/BEAMnrc user code. The calculated dose distributions were benchmarked by comparison with measurements made in a water phantom for a wide range of open field sizes and insert combinations, at a single source-to-surface distance (SSD) of 100 cm. These BEAMnrc models were used to evaluate the accuracy of a commercial MC dose calculation engine for electron beam treatment planning (Oncentra MasterPlan Treament Planning System (OMTPS) version 1.4, Nucletron) for two energies, 4 and 12 MeV. Output factors were furthermore measured in the water phantom and compared to BEAMnrc and OMTPS. The overall agreement between predicted and measured output factors was comparable for both BEAMnrc and OMTPS, except for a few asymmetric and/or small insert cutouts, where larger deviations between measurements and the values predicted from BEAMnrc as well as OMTPS computations were recorded. However, in the heterogeneous phantom, differences between BEAMnrc and measurements ranged from 0.5 to 2.0% between two ribs and 0.6–1.0% below the ribs, whereas the range difference between OMTPS and measurements was the same (0.5–4.0%) in both areas. With respect to output factors, the overall agreement between BEAMnrc and measurements was usually within 1.0% whereas differences up to nearly 3.0% were observed for OMTPS. This paper focuses on a comparison for clinical cases, including the effects of electron beam attenuations in a heterogeneous phantom. It, therefore, complements previously reported data (only based on measurements) in one other paper on commissioning of the VMC++ dose calculation engine. These results demonstrate that the VMC++ algorithm is more robust in predicting dose distribution than Pencil beam based algorithms for the electron beams investigated.
In the present work, Monte Carlo (MC) models of electron beams (energies 4, 12 and 18MeV) from an Elekta SL25 medical linear accelerator were simulated using EGSnrc/BEAMnrc user code. The calculated dose distributions were benchmarked by comparison with measurements made in a water phantom for a wide range of open field sizes and insert combinations, at a single source-to-surface distance (SSD) of 100cm. These BEAMnrc models were used to evaluate the accuracy of a commercial MC dose calculation engine for electron beam treatment planning (Oncentra MasterPlan Treament Planning System (OMTPS) version 1.4, Nucletron) for two energies, 4 and 12MeV. Output factors were furthermore measured in the water phantom and compared to BEAMnrc and OMTPS. The overall agreement between predicted and measured output factors was comparable for both BEAMnrc and OMTPS, except for a few asymmetric and/or small insert cutouts, where larger deviations between measurements and the values predicted from BEAMnrc as well as OMTPS computations were recorded. However, in the heterogeneous phantom, differences between BEAMnrc and measurements ranged from 0.5 to 2.0% between two ribs and 0.6-1.0% below the ribs, whereas the range difference between OMTPS and measurements was the same (0.5-4.0%) in both areas. With respect to output factors, the overall agreement between BEAMnrc and measurements was usually within 1.0% whereas differences up to nearly 3.0% were observed for OMTPS. This paper focuses on a comparison for clinical cases, including the effects of electron beam attenuations in a heterogeneous phantom. It, therefore, complements previously reported data (only based on measurements) in one other paper on commissioning of the VMC++ dose calculation engine. These results demonstrate that the VMC++ algorithm is more robust in predicting dose distribution than Pencil beam based algorithms for the electron beams investigated.
Author Edimo, P.
Clermont, C.
Kwato, M.G.
Vynckier, S.
Author_xml – sequence: 1
  givenname: P.
  surname: Edimo
  fullname: Edimo, P.
  email: edimop@yahoo.fr
  organization: Radiotherapy Department, Université Catholique de Louvain, Cliniques Universitaires Saint-Luc, Avenue Hippocrate 10, B-1200 Brussels, Belgium
– sequence: 2
  givenname: C.
  surname: Clermont
  fullname: Clermont, C.
  organization: Radiotherapy Department, Université Catholique de Louvain, Cliniques Universitaires Saint-Luc, Avenue Hippocrate 10, B-1200 Brussels, Belgium
– sequence: 3
  givenname: M.G.
  surname: Kwato
  fullname: Kwato, M.G.
  organization: University of Douala, Centre for Atomic Molecular Physics and Quantum Optics, P.O. Box 8580 Douala, Cameroon
– sequence: 4
  givenname: S.
  surname: Vynckier
  fullname: Vynckier, S.
  organization: Radiotherapy Department, Université Catholique de Louvain, Cliniques Universitaires Saint-Luc, Avenue Hippocrate 10, B-1200 Brussels, Belgium
BackLink https://www.ncbi.nlm.nih.gov/pubmed/18722148$$D View this record in MEDLINE/PubMed
BookMark eNqFkl9rFDEUxQep2D_6BXyQvPlQdnuTmd1MRYS6rFXo4kNVfAt3Mncla_5sk0xhP4bf2Ey3IhSsTwnknHPJ79zj6sAHT1X1ksOUA5-fbaa0cdupAGinIKcA_El1xKVoJvycfz8ody5gwuW5PKyOU9oA1ELMZs-qQ95KIXjTHlW_lrdoB8wmeBbWDJkOzlHUBi37tlqcnrJV8JnYAqMNrMNEPcuRMDvymW0tem_8D5Z2KZNj6xAZWdI5lriO0CU2pPF9eXntoz57v7xYlZMl4wZ7NzQx9D1zhGmINGam59XTNdpEL-7Pk-rrh-WXxcfJ1efLT4uLq4mu5TxPuqY7h5YT7wBbjQ200LWylj3XnKDrcd63TUM9zggaAjkvGAhBixp7Qet5fVK93uduY7gZKGXlTNJky5coDEnJugEuZyCK8tW9cugc9WobjcO4U38oFoHYC3QMKUVa_5WAGqtSGzVWpcaqFEhVqiqm9oFJm3zHJEc09nHr272VCp9bQ1Elbchr6k0s8FUfzOP2dw_s2hpvNNqftKO0CUP0hbziKgkF6npco3GLCmIACbIEvPl3wP-m_wZBM9lG
CitedBy_id crossref_primary_10_1088_1361_6633_ac43f6
crossref_primary_10_1177_153303461000900510
crossref_primary_10_1016_j_ejmp_2013_07_127
crossref_primary_10_1088_0031_9155_58_9_2841
crossref_primary_10_1118_1_3544660
crossref_primary_10_1088_1361_6560_acb755
crossref_primary_10_1007_s13246_016_0470_x
crossref_primary_10_1002_mp_13898
crossref_primary_10_1016_j_ejmp_2012_06_005
crossref_primary_10_1016_j_ejmp_2012_06_006
crossref_primary_10_1016_j_ejmp_2012_08_004
crossref_primary_10_1107_S0907444910007262
crossref_primary_10_1017_S1460396923000079
crossref_primary_10_3934_medsci_2018_3_204
crossref_primary_10_1088_0031_9155_54_24_008
crossref_primary_10_1177_15330338241239144
crossref_primary_10_1007_s13246_016_0437_y
crossref_primary_10_1016_j_ejmp_2016_07_006
crossref_primary_10_1007_s11431_011_4559_x
Cites_doi 10.1118/1.598676
10.1088/0031-9155/48/15/307
10.1016/j.ijrobp.2005.06.016
10.1118/1.596697
10.1118/1.597552
10.1088/0031-9155/47/10/305
10.1088/0031-9155/51/11/007
10.1016/0360-3016(94)90201-1
10.1118/1.2198328
10.1088/0031-9155/48/17/304
10.1118/1.598582
10.1120/jacmp.2020.25270
10.1118/1.597908
10.1016/0360-3016(84)90036-1
10.1118/1.1633105
10.1088/0031-9155/43/12/007
10.1088/0031-9155/45/8/308
10.1118/1.597235
10.1088/0031-9155/42/3/005
10.1088/0031-9155/32/9/001
10.1118/1.598795
10.1088/0031-9155/50/14/013
10.1016/S0167-8140(86)80183-9
10.1118/1.598917
10.1118/1.1607505
10.1088/0031-9155/34/9/004
10.1088/0031-9155/26/3/008
ContentType Journal Article
Copyright 2009 Associazione Italiana di Fisica Medica
Associazione Italiana di Fisica Medica
Copyright_xml – notice: 2009 Associazione Italiana di Fisica Medica
– notice: Associazione Italiana di Fisica Medica
DBID AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
7X8
DOI 10.1016/j.ejmp.2008.07.001
DatabaseName CrossRef
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
MEDLINE - Academic
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
MEDLINE - Academic
DatabaseTitleList MEDLINE - Academic



MEDLINE
Database_xml – sequence: 1
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 2
  dbid: EIF
  name: MEDLINE
  url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search
  sourceTypes: Index Database
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
EISSN 1724-191X
EndPage 121
ExternalDocumentID 18722148
10_1016_j_ejmp_2008_07_001
S1120179708000707
1_s2_0_S1120179708000707
Genre Comparative Study
Evaluation Studies
Research Support, Non-U.S. Gov't
Journal Article
GroupedDBID ---
--K
--M
-QF
.1-
.FO
.~1
0R~
123
1B1
1P~
1~.
1~5
3J0
4.4
457
4G.
53G
5VS
7-5
71M
8P~
AAEDT
AAEDW
AAIKJ
AAKOC
AALRI
AAOAW
AAQFI
AATTM
AAXKI
AAXUO
AAYWO
ABBQC
ABFNM
ABFRF
ABJNI
ABMAC
ABMZM
ABNEU
ABXDB
ACDAQ
ACFVG
ACGFS
ACIEU
ACLOT
ACNNM
ACRLP
ACXCU
ADBBV
ADEZE
ADVLN
AEBSH
AEFWE
AEIPS
AEKER
AEVXI
AFJKZ
AFRHN
AFTJW
AFXIZ
AGHFR
AGUBO
AGYEJ
AIEXJ
AIIUN
AIKHN
AITUG
AIVDX
AJRQY
AJUYK
ALMA_UNASSIGNED_HOLDINGS
AMRAJ
ANKPU
ANZVX
APXCP
AXJTR
BKOJK
BLXMC
BNPGV
CS3
DC1
DU5
EBS
EFJIC
EFKBS
EFLBG
EJD
EO8
EO9
EP2
EP3
F5P
FDB
FEDTE
FIRID
FNPLU
FYGXN
GBLVA
HVGLF
HZ~
IHE
J1W
KOM
M41
MO0
N9A
O-L
O9-
OAUVE
OGIMB
OI~
OU0
OZT
P-8
P-9
PC.
Q38
RLW
ROL
RPZ
SDF
SDG
SEL
SES
SJN
SPC
SPCBC
SSH
SSQ
SSZ
T5K
UNMZH
Z5R
~G-
~HD
AACTN
AFCTW
AFKWA
AJOXV
AMFUW
~XS
AAIAV
ABLVK
ABYKQ
AJBFU
CLCPZ
LCYCR
AAYXX
CITATION
AGCQF
AGRNS
CGR
CUY
CVF
ECM
EIF
NPM
7X8
ID FETCH-LOGICAL-c376t-b4b9081e1b0a8ca4080b8737d1c1e0bda6d844eda5e04e076797ea0c23ad2ef63
IEDL.DBID AIKHN
ISSN 1120-1797
IngestDate Tue Sep 30 23:17:24 EDT 2025
Mon Jul 21 06:06:55 EDT 2025
Wed Oct 01 03:54:08 EDT 2025
Thu Apr 24 23:07:19 EDT 2025
Fri Feb 23 02:33:05 EST 2024
Sun Feb 23 10:19:58 EST 2025
Tue Oct 14 19:39:29 EDT 2025
IsPeerReviewed true
IsScholarly true
Issue 3
Keywords Output factors
Monte Carlo
Electron beam dosimetry
Electron treatment planning
Language English
License https://www.elsevier.com/tdm/userlicense/1.0
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c376t-b4b9081e1b0a8ca4080b8737d1c1e0bda6d844eda5e04e076797ea0c23ad2ef63
Notes ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ObjectType-Undefined-3
PMID 18722148
PQID 734017502
PQPubID 23479
PageCount 11
ParticipantIDs proquest_miscellaneous_734017502
pubmed_primary_18722148
crossref_primary_10_1016_j_ejmp_2008_07_001
crossref_citationtrail_10_1016_j_ejmp_2008_07_001
elsevier_sciencedirect_doi_10_1016_j_ejmp_2008_07_001
elsevier_clinicalkeyesjournals_1_s2_0_S1120179708000707
elsevier_clinicalkey_doi_10_1016_j_ejmp_2008_07_001
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2009-09-00
PublicationDateYYYYMMDD 2009-09-01
PublicationDate_xml – month: 09
  year: 2009
  text: 2009-09-00
PublicationDecade 2000
PublicationPlace Italy
PublicationPlace_xml – name: Italy
PublicationTitle Physica medica
PublicationTitleAlternate Phys Med
PublicationYear 2009
Publisher Elsevier Ltd
Publisher_xml – name: Elsevier Ltd
References Walters, Rogers (bib30) 2004
Popple, Weinberg, Antolak, Sung-Joon, Prem, Duan (bib25) 2006; 33
Kawrakow, Fippel (bib16) 2000
Mah, Antolak, Scrimger, Battista (bib3) 1989; 34
Gerbi, Dimitroyannis (bib29) 2003; 30
Zhang, Rogers, Cygler, Mackie (bib9) 1999; 26
Fippel, Kawrakow, Friedrich (bib19) 1997; 42
Hogstrom, Mills, Meyer, Palta, Mellenberg, Meoz (bib5) 1984; 10
Cygler, Daskalov, Chan, Ding (bib23) 2004; 31
Kawrakow (bib17) 2001
Andreo, Burns, Hohlfeld, Huq, Kanai, Laitano (bib27) 2000; 398
Pavon, Sanchez-Doblado, Leal, Capote, Lagares, Perucha (bib12) 2003; 48
Bruinvis, Keus, Lenglet, Meijer, Mijnheer, van't Veld (bib7) 2006; 15
Kapur, Ma, Mok, David, Arthur (bib10) 1998; 43
Cygler, Battista, Scrimger, Mah, Antolak (bib2) 1987; 32
Ding, Duggan, Coffey, Parvaneh, Cygler (bib26) 2006; 51
Seutjens, Van der Plaetsen, Thierens, Piessens (bib28) 1994; 21
Fippel (bib20) 1999; 26
Ma, Faddegon, Rogers, Mackie (bib8) 1997; 24
Kawrakow, Fippel (bib18) 2000; 45
Ostwald, Metcalfe, Denham, Hamilton (bib6) 1994; 28
Knöös, Nilsson, Ahlgren (bib31) 1986; 5
Shiu, Hogstrom (bib1) 1991; 18
Ding, Cygler, Yu, Kalach Nina, Daskalov (bib24) 2005; 63
Popescu, Shaw, Zavgorodni, Beckham (bib13) 2005; 50
Kawrakow (bib15) 2000; 27
Doucet, Olivares, DeBlois, Podgorsak, Kawrakow, Seuntjens (bib22) 2003; 48
Ma, Li, Pawlicki, Jiang, Deng, Lee (bib21) 2000; 47
Ding, Cygler, Yu (bib32) 1999; 26
Hogstrom, Mills, Almond (bib4) 1981; 26
Rogers, Faddegon, Ding, Ma, We, Mackie (bib14) 1995; 22
Turian, Smith, Bernard, Griem, Chu (bib11) 2004; 5
Rogers (10.1016/j.ejmp.2008.07.001_bib14) 1995; 22
Seutjens (10.1016/j.ejmp.2008.07.001_bib28) 1994; 21
Zhang (10.1016/j.ejmp.2008.07.001_bib9) 1999; 26
Knöös (10.1016/j.ejmp.2008.07.001_bib31) 1986; 5
Hogstrom (10.1016/j.ejmp.2008.07.001_bib4) 1981; 26
Turian (10.1016/j.ejmp.2008.07.001_bib11) 2004; 5
Walters (10.1016/j.ejmp.2008.07.001_bib30) 2004
Ma (10.1016/j.ejmp.2008.07.001_bib21) 2000; 47
Ma (10.1016/j.ejmp.2008.07.001_bib8) 1997; 24
Kapur (10.1016/j.ejmp.2008.07.001_bib10) 1998; 43
Mah (10.1016/j.ejmp.2008.07.001_bib3) 1989; 34
Hogstrom (10.1016/j.ejmp.2008.07.001_bib5) 1984; 10
Popescu (10.1016/j.ejmp.2008.07.001_bib13) 2005; 50
Kawrakow (10.1016/j.ejmp.2008.07.001_bib15) 2000; 27
Ding (10.1016/j.ejmp.2008.07.001_bib32) 1999; 26
Shiu (10.1016/j.ejmp.2008.07.001_bib1) 1991; 18
Kawrakow (10.1016/j.ejmp.2008.07.001_bib17) 2001
Gerbi (10.1016/j.ejmp.2008.07.001_bib29) 2003; 30
Pavon (10.1016/j.ejmp.2008.07.001_bib12) 2003; 48
Fippel (10.1016/j.ejmp.2008.07.001_bib20) 1999; 26
Kawrakow (10.1016/j.ejmp.2008.07.001_bib16) 2000
Doucet (10.1016/j.ejmp.2008.07.001_bib22) 2003; 48
Bruinvis (10.1016/j.ejmp.2008.07.001_bib7) 2006; 15
Cygler (10.1016/j.ejmp.2008.07.001_bib2) 1987; 32
Ostwald (10.1016/j.ejmp.2008.07.001_bib6) 1994; 28
Ding (10.1016/j.ejmp.2008.07.001_bib24) 2005; 63
Kawrakow (10.1016/j.ejmp.2008.07.001_bib18) 2000; 45
Cygler (10.1016/j.ejmp.2008.07.001_bib23) 2004; 31
Ding (10.1016/j.ejmp.2008.07.001_bib26) 2006; 51
Popple (10.1016/j.ejmp.2008.07.001_bib25) 2006; 33
Andreo (10.1016/j.ejmp.2008.07.001_bib27) 2000; 398
Fippel (10.1016/j.ejmp.2008.07.001_bib19) 1997; 42
References_xml – volume: 18
  start-page: 7
  year: 1991
  end-page: 18
  ident: bib1
  article-title: Pencil-beam redefinition algorithm for electron dose distributions
  publication-title: Med Phys
– volume: 26
  start-page: 445
  year: 1981
  end-page: 459
  ident: bib4
  article-title: Electron beam dose calculations
  publication-title: Phys Med Biol
– volume: 27
  start-page: 485
  year: 2000
  end-page: 498
  ident: bib15
  article-title: Accurate condensed history Monte Carlo simulation of electron transport. I. EGSnrc, the new EGS4 version
  publication-title: Med Phys
– start-page: 126
  year: 2000
  end-page: 128
  ident: bib16
  article-title: VMC++, a fast MC algorithm for radiation treatment planning
  publication-title: XIII international conference on the use of computers in radiation therapy
– volume: 42
  start-page: 501
  year: 1997
  end-page: 520
  ident: bib19
  article-title: Electron beam dose calculations with the VMC algorithm and the verification data of the NCI working group
  publication-title: Phys Med Biol
– volume: 398
  year: 2000
  ident: bib27
  article-title: Absorbed dose determination in external beam radiotherapy: an International Code of Practice for dosimetry based on standards of absorbed dose to water
  publication-title: IAEA TRS
– start-page: 229
  year: 2001
  end-page: 236
  ident: bib17
  article-title: VMC++, electron and photon Monte Carlo calculations optimised for radiation treatment planning
  publication-title: Advanced Monte Carlo for radiation physics, particle transport simulation and applications: proceeding of the Monte Carlo 2000 meeting
– volume: 32
  start-page: 1073
  year: 1987
  end-page: 1086
  ident: bib2
  article-title: Electron dose distributions in experimental phantoms: a comparison with 2D pencil beam calculations
  publication-title: Phys Med Biol
– volume: 45
  start-page: 2163
  year: 2000
  end-page: 2183
  ident: bib18
  article-title: Investigation of variance reduction techniques for Monte Carlo photon dose calculation using XVMC
  publication-title: Phys Med Biol
– volume: 26
  start-page: 1466
  year: 1999
  end-page: 1475
  ident: bib20
  article-title: Fast Monte Carlo dose calculation for photon beams based on the VMC electron algorithm
  publication-title: Med Phys
– volume: 47
  start-page: 1671
  year: 2000
  end-page: 1689
  ident: bib21
  article-title: A Monte Carlo dose calculation tool for radiotherapy treatment planning
  publication-title: Phys Med Biol
– volume: 50
  start-page: 3375
  year: 2005
  end-page: 3392
  ident: bib13
  article-title: Absolute dose calculations for Monte Carlo simulations of radiotherapy beams
  publication-title: Phys Med Biol
– volume: 33
  start-page: 1540
  year: 2006
  end-page: 1551
  ident: bib25
  article-title: Comprehensive evaluation of a commercial macro Monte Carlo electron dose calculation implementation using a standard verification data set
  publication-title: Med Phys
– volume: 31
  start-page: 142
  year: 2004
  end-page: 153
  ident: bib23
  article-title: Evaluation of the first commercial Monte Carlo dose calculation engine for electron beam treatment planning
  publication-title: Med Phys
– year: 2004
  ident: bib30
  article-title: DOSXYZnrc user manuel
– volume: 15
  year: 2006
  ident: bib7
  article-title: Quality assurance of 3-D treatment planning systems for external photon and electron beams: practical guidelines for acceptance testing, commissioning and periodic quality control of radiation therapy treatment planning systems
  publication-title: NCS Report
– volume: 10
  start-page: 561
  year: 1984
  end-page: 569
  ident: bib5
  article-title: Dosimetric evaluation of a pencil-beam algorithm for electrons employing a twodimensional heterogeneity correction
  publication-title: Int J Radiat Oncol Biol Phys
– volume: 22
  start-page: 503
  year: 1995
  end-page: 524
  ident: bib14
  article-title: BEAM: a Monte Carlo code to simulate radiotherapy treatment units
  publication-title: Med Phys
– volume: 48
  start-page: 2339
  year: 2003
  end-page: 2354
  ident: bib22
  article-title: Comparison of measured and Monte Carlo calculated dose distributions in inhomogeneous phantoms in clinical electron beams
  publication-title: Phys Med Biol
– volume: 51
  start-page: 2781
  year: 2006
  end-page: 2799
  ident: bib26
  article-title: First macro Monte Carlo based commercial dose calculation module for electron beam treatment planning – new issues for clinical consideration
  publication-title: Phys Med Biol
– volume: 30
  start-page: 2703
  year: 2003
  end-page: 2705
  ident: bib29
  article-title: The response of Kodak EDR2 film in high-energy electron beams
  publication-title: Med Phys
– volume: 26
  start-page: 743
  year: 1999
  end-page: 750
  ident: bib9
  article-title: Monte Carlo investigation of electron beam output factors versus size of square cutout
  publication-title: Med Phys
– volume: 21
  start-page: 1959
  year: 1994
  end-page: 1968
  ident: bib28
  article-title: Comparison of measured and calculated dose distributions in lung after electron beam treatment of the chest wall
  publication-title: Med Phys
– volume: 5
  start-page: 337
  year: 1986
  end-page: 345
  ident: bib31
  article-title: A method for conversion of Hounsfield number to electron density and prediction of macroscopic pair production cross-sections
  publication-title: Radiother Oncol
– volume: 48
  start-page: 2783
  year: 2003
  end-page: 2796
  ident: bib12
  article-title: Total skin electron therapy treatment verification: Monte Carlo simulation and beam characteristics of large non-standard electron fields
  publication-title: Phys Med Biol
– volume: 5
  start-page: 42
  year: 2004
  end-page: 62
  ident: bib11
  article-title: Monte Carlo calculations of output factors for clinically shaped electron fields
  publication-title: J Appl Clin Med Phys
– volume: 63
  start-page: 622
  year: 2005
  end-page: 633
  ident: bib24
  article-title: A comparison of electron beam dose calculation accuracy between treatment planning systems using either a pencil beam or a Monte Carlo algorithm
  publication-title: Int J Radiat Oncol Biol Phys
– volume: 34
  start-page: 1174
  year: 1989
  end-page: 1194
  ident: bib3
  article-title: Experimental evaluation of 2D and 3D electron pencil beam algorithm
  publication-title: Phys Med Biol
– volume: 24
  start-page: 401
  year: 1997
  end-page: 416
  ident: bib8
  article-title: Accurate characterization of Monte Carlo calculated electron beams for radiotherapy
  publication-title: Med Phys
– volume: 28
  start-page: 731
  year: 1994
  end-page: 740
  ident: bib6
  article-title: A comparison of three electron planning algorithms for a 16
  publication-title: Int J Radiat Oncol Biol Phys
– volume: 43
  start-page: 3479
  year: 1998
  end-page: 3494
  ident: bib10
  article-title: Monte Carlo calculations of electron beam output factors for a medical linear accelerator
  publication-title: Phys Med Biol
– volume: 26
  start-page: 2571
  year: 1999
  end-page: 2580
  ident: bib32
  article-title: Evaluation of a commercial three-dimensional electron beam treatment planning system
  publication-title: Med Phys
– start-page: 126
  year: 2000
  ident: 10.1016/j.ejmp.2008.07.001_bib16
  article-title: VMC++, a fast MC algorithm for radiation treatment planning
– volume: 26
  start-page: 1466
  year: 1999
  ident: 10.1016/j.ejmp.2008.07.001_bib20
  article-title: Fast Monte Carlo dose calculation for photon beams based on the VMC electron algorithm
  publication-title: Med Phys
  doi: 10.1118/1.598676
– volume: 48
  start-page: 2339
  year: 2003
  ident: 10.1016/j.ejmp.2008.07.001_bib22
  article-title: Comparison of measured and Monte Carlo calculated dose distributions in inhomogeneous phantoms in clinical electron beams
  publication-title: Phys Med Biol
  doi: 10.1088/0031-9155/48/15/307
– volume: 63
  start-page: 622
  year: 2005
  ident: 10.1016/j.ejmp.2008.07.001_bib24
  article-title: A comparison of electron beam dose calculation accuracy between treatment planning systems using either a pencil beam or a Monte Carlo algorithm
  publication-title: Int J Radiat Oncol Biol Phys
  doi: 10.1016/j.ijrobp.2005.06.016
– volume: 18
  start-page: 7
  year: 1991
  ident: 10.1016/j.ejmp.2008.07.001_bib1
  article-title: Pencil-beam redefinition algorithm for electron dose distributions
  publication-title: Med Phys
  doi: 10.1118/1.596697
– year: 2004
  ident: 10.1016/j.ejmp.2008.07.001_bib30
– volume: 22
  start-page: 503
  year: 1995
  ident: 10.1016/j.ejmp.2008.07.001_bib14
  article-title: BEAM: a Monte Carlo code to simulate radiotherapy treatment units
  publication-title: Med Phys
  doi: 10.1118/1.597552
– volume: 47
  start-page: 1671
  year: 2000
  ident: 10.1016/j.ejmp.2008.07.001_bib21
  article-title: A Monte Carlo dose calculation tool for radiotherapy treatment planning
  publication-title: Phys Med Biol
  doi: 10.1088/0031-9155/47/10/305
– volume: 51
  start-page: 2781
  year: 2006
  ident: 10.1016/j.ejmp.2008.07.001_bib26
  article-title: First macro Monte Carlo based commercial dose calculation module for electron beam treatment planning – new issues for clinical consideration
  publication-title: Phys Med Biol
  doi: 10.1088/0031-9155/51/11/007
– volume: 28
  start-page: 731
  year: 1994
  ident: 10.1016/j.ejmp.2008.07.001_bib6
  article-title: A comparison of three electron planning algorithms for a 16MeV electron beam
  publication-title: Int J Radiat Oncol Biol Phys
  doi: 10.1016/0360-3016(94)90201-1
– volume: 33
  start-page: 1540
  year: 2006
  ident: 10.1016/j.ejmp.2008.07.001_bib25
  article-title: Comprehensive evaluation of a commercial macro Monte Carlo electron dose calculation implementation using a standard verification data set
  publication-title: Med Phys
  doi: 10.1118/1.2198328
– volume: 48
  start-page: 2783
  year: 2003
  ident: 10.1016/j.ejmp.2008.07.001_bib12
  article-title: Total skin electron therapy treatment verification: Monte Carlo simulation and beam characteristics of large non-standard electron fields
  publication-title: Phys Med Biol
  doi: 10.1088/0031-9155/48/17/304
– volume: 26
  start-page: 743
  year: 1999
  ident: 10.1016/j.ejmp.2008.07.001_bib9
  article-title: Monte Carlo investigation of electron beam output factors versus size of square cutout
  publication-title: Med Phys
  doi: 10.1118/1.598582
– volume: 5
  start-page: 42
  year: 2004
  ident: 10.1016/j.ejmp.2008.07.001_bib11
  article-title: Monte Carlo calculations of output factors for clinically shaped electron fields
  publication-title: J Appl Clin Med Phys
  doi: 10.1120/jacmp.2020.25270
– volume: 24
  start-page: 401
  year: 1997
  ident: 10.1016/j.ejmp.2008.07.001_bib8
  article-title: Accurate characterization of Monte Carlo calculated electron beams for radiotherapy
  publication-title: Med Phys
  doi: 10.1118/1.597908
– start-page: 229
  year: 2001
  ident: 10.1016/j.ejmp.2008.07.001_bib17
  article-title: VMC++, electron and photon Monte Carlo calculations optimised for radiation treatment planning
– volume: 10
  start-page: 561
  year: 1984
  ident: 10.1016/j.ejmp.2008.07.001_bib5
  article-title: Dosimetric evaluation of a pencil-beam algorithm for electrons employing a twodimensional heterogeneity correction
  publication-title: Int J Radiat Oncol Biol Phys
  doi: 10.1016/0360-3016(84)90036-1
– volume: 31
  start-page: 142
  year: 2004
  ident: 10.1016/j.ejmp.2008.07.001_bib23
  article-title: Evaluation of the first commercial Monte Carlo dose calculation engine for electron beam treatment planning
  publication-title: Med Phys
  doi: 10.1118/1.1633105
– volume: 43
  start-page: 3479
  year: 1998
  ident: 10.1016/j.ejmp.2008.07.001_bib10
  article-title: Monte Carlo calculations of electron beam output factors for a medical linear accelerator
  publication-title: Phys Med Biol
  doi: 10.1088/0031-9155/43/12/007
– volume: 45
  start-page: 2163
  year: 2000
  ident: 10.1016/j.ejmp.2008.07.001_bib18
  article-title: Investigation of variance reduction techniques for Monte Carlo photon dose calculation using XVMC
  publication-title: Phys Med Biol
  doi: 10.1088/0031-9155/45/8/308
– volume: 21
  start-page: 1959
  year: 1994
  ident: 10.1016/j.ejmp.2008.07.001_bib28
  article-title: Comparison of measured and calculated dose distributions in lung after electron beam treatment of the chest wall
  publication-title: Med Phys
  doi: 10.1118/1.597235
– volume: 42
  start-page: 501
  year: 1997
  ident: 10.1016/j.ejmp.2008.07.001_bib19
  article-title: Electron beam dose calculations with the VMC algorithm and the verification data of the NCI working group
  publication-title: Phys Med Biol
  doi: 10.1088/0031-9155/42/3/005
– volume: 32
  start-page: 1073
  year: 1987
  ident: 10.1016/j.ejmp.2008.07.001_bib2
  article-title: Electron dose distributions in experimental phantoms: a comparison with 2D pencil beam calculations
  publication-title: Phys Med Biol
  doi: 10.1088/0031-9155/32/9/001
– volume: 26
  start-page: 2571
  year: 1999
  ident: 10.1016/j.ejmp.2008.07.001_bib32
  article-title: Evaluation of a commercial three-dimensional electron beam treatment planning system
  publication-title: Med Phys
  doi: 10.1118/1.598795
– volume: 50
  start-page: 3375
  year: 2005
  ident: 10.1016/j.ejmp.2008.07.001_bib13
  article-title: Absolute dose calculations for Monte Carlo simulations of radiotherapy beams
  publication-title: Phys Med Biol
  doi: 10.1088/0031-9155/50/14/013
– volume: 15
  year: 2006
  ident: 10.1016/j.ejmp.2008.07.001_bib7
  article-title: Quality assurance of 3-D treatment planning systems for external photon and electron beams: practical guidelines for acceptance testing, commissioning and periodic quality control of radiation therapy treatment planning systems
  publication-title: NCS Report
– volume: 5
  start-page: 337
  year: 1986
  ident: 10.1016/j.ejmp.2008.07.001_bib31
  article-title: A method for conversion of Hounsfield number to electron density and prediction of macroscopic pair production cross-sections
  publication-title: Radiother Oncol
  doi: 10.1016/S0167-8140(86)80183-9
– volume: 27
  start-page: 485
  year: 2000
  ident: 10.1016/j.ejmp.2008.07.001_bib15
  article-title: Accurate condensed history Monte Carlo simulation of electron transport. I. EGSnrc, the new EGS4 version
  publication-title: Med Phys
  doi: 10.1118/1.598917
– volume: 30
  start-page: 2703
  year: 2003
  ident: 10.1016/j.ejmp.2008.07.001_bib29
  article-title: The response of Kodak EDR2 film in high-energy electron beams
  publication-title: Med Phys
  doi: 10.1118/1.1607505
– volume: 34
  start-page: 1174
  year: 1989
  ident: 10.1016/j.ejmp.2008.07.001_bib3
  article-title: Experimental evaluation of 2D and 3D electron pencil beam algorithm
  publication-title: Phys Med Biol
  doi: 10.1088/0031-9155/34/9/004
– volume: 26
  start-page: 445
  year: 1981
  ident: 10.1016/j.ejmp.2008.07.001_bib4
  article-title: Electron beam dose calculations
  publication-title: Phys Med Biol
  doi: 10.1088/0031-9155/26/3/008
– volume: 398
  year: 2000
  ident: 10.1016/j.ejmp.2008.07.001_bib27
  article-title: Absorbed dose determination in external beam radiotherapy: an International Code of Practice for dosimetry based on standards of absorbed dose to water
  publication-title: IAEA TRS
SSID ssj0032255
Score 1.8697939
Snippet In the present work, Monte Carlo (MC) models of electron beams (energies 4, 12 and 18 MeV) from an Elekta SL25 medical linear accelerator were simulated using...
Abstract In the present work, Monte Carlo (MC) models of electron beams (energies 4, 12 and 18 MeV) from an Elekta SL25 medical linear accelerator were...
In the present work, Monte Carlo (MC) models of electron beams (energies 4, 12 and 18MeV) from an Elekta SL25 medical linear accelerator were simulated using...
SourceID proquest
pubmed
crossref
elsevier
SourceType Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage 111
SubjectTerms Algorithms
Body Burden
Computer Simulation
Electron beam dosimetry
Electron treatment planning
Electrons - therapeutic use
Industry - methods
Models, Biological
Monte Carlo
Monte Carlo Method
Output factors
Radiology
Radiometry - methods
Radiotherapy Dosage
Radiotherapy Planning, Computer-Assisted - methods
Reproducibility of Results
Sensitivity and Specificity
Software
Title Evaluation of a commercial VMC++ Monte Carlo based treatment planning system for electron beams using EGSnrc/BEAMnrc simulations and measurements
URI https://www.clinicalkey.com/#!/content/1-s2.0-S1120179708000707
https://www.clinicalkey.es/playcontent/1-s2.0-S1120179708000707
https://dx.doi.org/10.1016/j.ejmp.2008.07.001
https://www.ncbi.nlm.nih.gov/pubmed/18722148
https://www.proquest.com/docview/734017502
Volume 25
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVESC
  databaseName: Elsevier ScienceDirect
  customDbUrl:
  eissn: 1724-191X
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0032255
  issn: 1120-1797
  databaseCode: .~1
  dateStart: 20050101
  isFulltext: true
  titleUrlDefault: https://www.sciencedirect.com
  providerName: Elsevier
– providerCode: PRVESC
  databaseName: Elsevier ScienceDirect Freedom Collection Journals
  customDbUrl:
  eissn: 1724-191X
  dateEnd: 20201031
  omitProxy: true
  ssIdentifier: ssj0032255
  issn: 1120-1797
  databaseCode: ACRLP
  dateStart: 20050101
  isFulltext: true
  titleUrlDefault: https://www.sciencedirect.com
  providerName: Elsevier
– providerCode: PRVESC
  databaseName: Elsevier SD Freedom Collection Journals [SCFCJ]
  customDbUrl:
  eissn: 1724-191X
  dateEnd: 20201031
  omitProxy: true
  ssIdentifier: ssj0032255
  issn: 1120-1797
  databaseCode: AIKHN
  dateStart: 20050101
  isFulltext: true
  titleUrlDefault: https://www.sciencedirect.com
  providerName: Elsevier
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lb9NAEB61qYS4IN6ERzQHbpGJH2uvcwxWSni4QkBRb6v1el2lqp0oTq_8B_4xM_E6FYIWiZMly6O1Z-e1nplvAF77ehrbSBhPptp4wlTaKypReWFSMmBaRRrF3cj5SbI4FR_O4rMDyPpeGC6rdLa_s-k7a-3uTBw3J-vlckJ6GLI4SY55GLTmEI7I_6TpAI5m7z8uTnqDzCIb72as0EmJCVzvTFfmZS_qtSupZDDD4Cb_dFP8ufNDx_fhngsgcda94wM4sM1DuJO7FPkj-Dnf43fjqkKN9GU1j1Uiou95Nh5jzoBUmOnN5QrZiZW4rzbHtZthhB3CM1JIi_2kHCysrlvkSvlznL_72mzM5O18ltMV22Xt5oC1qJsS6-tfj-1jOD2ef8sWnpu74BkyN1uvEMWUIgUbFL5OjRbE4CKVkSwDE1i_KHVSpkLYUsfWF9aXCfHUat-EkS5DWyXRExg0q8Y-A-R9pxNNEpNNFdI3RCr1tJRRUKRaR9MhBD23lXGg5Dwb41L11WcXinfITcvkXHkwhPGeZt1Bctz6dNRvouqbTck8KvIYt1LJv1HZ1ml4qwLVhspXf0jhEOI95W-C_M8VsZcwRRrOaRvd2NVVq2REZ2AK7MIhPO0k7_qzUxmGdKB9_p-LvoC7XXaMa-ZewmC7ubKvKMjaFiM4fPMjGJEqZV8-fR45lfoFdIcoqQ
linkProvider Elsevier
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnR3LbtNAcFWKBFwQb8JzDtwiE3u99jrHEqUEqHuhRb2t9mWUqnaiOL3yD_wxM_HaFYIWiZMla0frnZ2n58XYu1hPM58KG8lC20jYSkemElXEc0cN0yrkKKpGLo_zxan4fJad7bFZXwtDaZVB9ncyfSetw5tJwOZkvVxOkA85kZMkm4ea1txit0XGJXlg738MeR5EsNluwgr6SbQ8VM50SV7-vF6HhEpqZZhcp52usz53WujwAbsfzEc46L7wIdvzzSN2pwwB8sfs53zo3g2rCjTguWoaqoRA38rZeAwltaOCmd5crIBUmIMh1xzWYYIRdP2dAQ1a6OfkgPG6boHy5L_D_OPXZmMnH-YHJT6hXdZhClgLunFQX_14bJ-w08P5yWwRhakLkUVhs42MMFO0E3xiYl1YLRC9ppCpdIlNfGyczl0hhHc687HwscwRp17HlqfacV_l6VO236wa_5wB3Tr6M3mGElXI2CKo1FMn08QUWqfTEUt6bCsbWpLTZIwL1eeenSu6oTArkyLlyYiNB5h115DjxtVpf4mqLzVF4ahQX9wIJf8G5dvA361KVMtVrP6gwRHLBsjfyPifO0JPYQr5m4I2uvGry1bJFD1gNOv4iD3rKO_q2IXkHN3ZF_-56Vt2d3FSHqmjT8dfXrJ7XZyMsudesf3t5tK_RnNra97s2OkXsRcn3A
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Evaluation+of+a+commercial+VMC%2B%2B+Monte+Carlo+based+treatment+planning+system+for+electron+beams+using+EGSnrc%2FBEAMnrc+simulations+and+measurements&rft.jtitle=Physica+medica&rft.au=Edimo%2C+P&rft.au=Clermont%2C+C&rft.au=Kwato%2C+M.G&rft.au=Vynckier%2C+S&rft.date=2009-09-01&rft.issn=1120-1797&rft.volume=25&rft.issue=3&rft.spage=111&rft.epage=121&rft_id=info:doi/10.1016%2Fj.ejmp.2008.07.001&rft.externalDBID=ECK1-s2.0-S1120179708000707&rft.externalDocID=1_s2_0_S1120179708000707
thumbnail_m http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=https%3A%2F%2Fcdn.clinicalkey.com%2Fck-thumbnails%2F11201797%2FS1120179709X00037%2Fcov150h.gif