Detail
Článek
Článek online
FT
Medvik - BMČ
  • Je něco špatně v tomto záznamu ?

Comparison of the Convolution algorithm with TMR10 for Leksell Gamma knife and dosimetric verification with radiochromic gel dosimeter

P. Osmancikova, J. Novotny, J. Solc, J. Pipek,

. 2018 ; 19 (1) : 138-144. [pub] 20171210

Jazyk angličtina Země Spojené státy americké

Typ dokumentu srovnávací studie, časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/bmc18033478

The Convolution algorithm, implemented in Leksell GammaPlan® ver. Here, 10, is the first algorithm for Leksell Gamma Knife that takes heterogeneities into account and models dose build-up effects close to tissue boundaries. The aim of this study was preliminary comparison of the Convolution and TMR10 algorithms for real clinical cases and dosimetric verification of the algorithms, using measurements in a phantom. A total of 25 patients involved in comparison of the Convolution and TMR10 algorithms were divided into three groups: patients with benign tumors close to heterogeneities, patients with functional disorders, and patients with tumors located far from heterogeneities. Differences were observed especially in the group of patients with tumors close to heterogeneities, where the difference in maximal dose to critical structures for the Convolution algorithm was up to 15% compared to the TMR10 algorithm. Dosimetric verification of the algorithm was performed, using a radiochromic gel dosimeter based on Turnbull blue dye in a special heterogeneous phantom. Relative dose distributions measured with the radiochromic gel dosimeter agreed very well with both the TMR10 and Convolution calculations. We observed small discrepancies in the direction in which the largest inhomogeneity was positioned. Verification results indicated that the Convolution algorithm provides a different dose distribution, especially in regions close to heterogeneities and particularly for lower isodose volumes. However, the results obtained with gamma analyses in the gel dosimetry experiment did not verify the assumption that the Convolution algorithm provides more accurate dose calculation.

Citace poskytuje Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc18033478
003      
CZ-PrNML
005      
20181016104516.0
007      
ta
008      
181008s2018 xxu f 000 0|eng||
009      
AR
024    7_
$a 10.1002/acm2.12238 $2 doi
035    __
$a (PubMed)29226607
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a xxu
100    1_
$a Osmancikova, Petra $u Department of Dosimetry and Application of Ionising Radiation, Faculty of Nuclear Sciences and Physical Engineering, CTU in Prague, Prague, Czech Republic.
245    10
$a Comparison of the Convolution algorithm with TMR10 for Leksell Gamma knife and dosimetric verification with radiochromic gel dosimeter / $c P. Osmancikova, J. Novotny, J. Solc, J. Pipek,
520    9_
$a The Convolution algorithm, implemented in Leksell GammaPlan® ver. Here, 10, is the first algorithm for Leksell Gamma Knife that takes heterogeneities into account and models dose build-up effects close to tissue boundaries. The aim of this study was preliminary comparison of the Convolution and TMR10 algorithms for real clinical cases and dosimetric verification of the algorithms, using measurements in a phantom. A total of 25 patients involved in comparison of the Convolution and TMR10 algorithms were divided into three groups: patients with benign tumors close to heterogeneities, patients with functional disorders, and patients with tumors located far from heterogeneities. Differences were observed especially in the group of patients with tumors close to heterogeneities, where the difference in maximal dose to critical structures for the Convolution algorithm was up to 15% compared to the TMR10 algorithm. Dosimetric verification of the algorithm was performed, using a radiochromic gel dosimeter based on Turnbull blue dye in a special heterogeneous phantom. Relative dose distributions measured with the radiochromic gel dosimeter agreed very well with both the TMR10 and Convolution calculations. We observed small discrepancies in the direction in which the largest inhomogeneity was positioned. Verification results indicated that the Convolution algorithm provides a different dose distribution, especially in regions close to heterogeneities and particularly for lower isodose volumes. However, the results obtained with gamma analyses in the gel dosimetry experiment did not verify the assumption that the Convolution algorithm provides more accurate dose calculation.
650    12
$a algoritmy $7 D000465
650    12
$a filmová dozimetrie $7 D005373
650    _2
$a lidé $7 D006801
650    _2
$a metoda Monte Carlo $7 D009010
650    _2
$a nádory $x chirurgie $7 D009369
650    _2
$a kritické orgány $x účinky záření $7 D058958
650    12
$a fantomy radiodiagnostické $7 D019047
650    _2
$a radiochirurgie $x metody $7 D016634
650    _2
$a celková dávka radioterapie $7 D011879
650    _2
$a plánování radioterapie pomocí počítače $x metody $7 D011880
655    _2
$a srovnávací studie $7 D003160
655    _2
$a časopisecké články $7 D016428
700    1_
$a Novotny, Josef $u Department of Dosimetry and Application of Ionising Radiation, Faculty of Nuclear Sciences and Physical Engineering, CTU in Prague, Prague, Czech Republic. Na Homolce Hospital, Prague, Czech Republic. Czech Metrology Institute, Brno, Czech Republic.
700    1_
$a Solc, Jaroslav $u Department of Radiation Oncology, University Hospital Motol, Prague, Czech Republic.
700    1_
$a Pipek, Jan $u Department of Dosimetry and Application of Ionising Radiation, Faculty of Nuclear Sciences and Physical Engineering, CTU in Prague, Prague, Czech Republic.
773    0_
$w MED00182991 $t Journal of applied clinical medical physics $x 1526-9914 $g Roč. 19, č. 1 (2018), s. 138-144
856    41
$u https://pubmed.ncbi.nlm.nih.gov/29226607 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y a $z 0
990    __
$a 20181008 $b ABA008
991    __
$a 20181016105013 $b ABA008
999    __
$a ok $b bmc $g 1339471 $s 1030472
BAS    __
$a 3
BAS    __
$a PreBMC
BMC    __
$a 2018 $b 19 $c 1 $d 138-144 $e 20171210 $i 1526-9914 $m Journal of applied clinical medical physics $n J Appl Clin Med Phys $x MED00182991
LZP    __
$a Pubmed-20181008

Najít záznam

Citační ukazatele

Nahrávání dat ...

Možnosti archivace

Nahrávání dat ...