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

Single-source Dual-energy CT as a Part of 18F-FDG PET/CT: Direct Comparison of Iodine-related and Metabolic Parameters in Non-small Cell Lung Cancer

J. Baxa, T. Matouskova, J. Ludvik, M. Sedlmair, T. Flohr, B. Schmidt, J. Bejcek, M. Pesek, J. Ferda,

. 2018 ; 38 (7) : 4131-4137.

Jazyk angličtina Země Řecko

Typ dokumentu srovnávací studie, časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/bmc18033019

Aim: The aim of the study was to assess possible correlation of fluorogeoxyglucose (FDG) uptake and iodine-related attenuation values derived from positron-emission tomography/computed tomography (PET/CT) using single-source dual-energy CT scan (DE-CT) in non-small cell lung cancer (NSCLC). Materials and Methods: Forty-eight patients with histologically-proven NSCLC underwent18F-FDG-PET/CT within their staging process. PET/CT included single-source DE-CT in late post-contrast phase. Direct comparison of PET and DE-related values was performed. A sub-study regarding different histological types and various thresholds for quantification of volume metabolic values was also performed. Results: A strong correlation was found of metabolic tumor volume and total lesion glycolysis with total iodine content using Pearson correlation analysis (r=0.965-0.983; p<0.0001) with various thresholds for FDG lesion segmentation. The strongest correlations with iodine content were reached using 10% threshold for segmentation. Only a weak correlation was found between iodine content and the maximal standard uptake value. A significant difference between adenocarcinomas and other histological subtypes was found for selected parameters of metabolic PET and DE-CT data. Conclusion: Our study demonstrated a strong correlation of the iodine content calculated from single-source DE-CT with volumetric FDG parameters in NSCLC. without a significant effect of the threshold value for FDG lesion segmentation.

Citace poskytuje Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc18033019
003      
CZ-PrNML
005      
20181009105646.0
007      
ta
008      
181008s2018 gr f 000 0|eng||
009      
AR
024    7_
$a 10.21873/anticanres.12704 $2 doi
035    __
$a (PubMed)29970540
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a gr
100    1_
$a Baxa, Jan $u Department of Imaging Methods, Faculty of Medicine in Pilsen, Charles University Hospital in Pilsen, Czech Republic baxaj@fnplzen.cz.
245    10
$a Single-source Dual-energy CT as a Part of 18F-FDG PET/CT: Direct Comparison of Iodine-related and Metabolic Parameters in Non-small Cell Lung Cancer / $c J. Baxa, T. Matouskova, J. Ludvik, M. Sedlmair, T. Flohr, B. Schmidt, J. Bejcek, M. Pesek, J. Ferda,
520    9_
$a Aim: The aim of the study was to assess possible correlation of fluorogeoxyglucose (FDG) uptake and iodine-related attenuation values derived from positron-emission tomography/computed tomography (PET/CT) using single-source dual-energy CT scan (DE-CT) in non-small cell lung cancer (NSCLC). Materials and Methods: Forty-eight patients with histologically-proven NSCLC underwent18F-FDG-PET/CT within their staging process. PET/CT included single-source DE-CT in late post-contrast phase. Direct comparison of PET and DE-related values was performed. A sub-study regarding different histological types and various thresholds for quantification of volume metabolic values was also performed. Results: A strong correlation was found of metabolic tumor volume and total lesion glycolysis with total iodine content using Pearson correlation analysis (r=0.965-0.983; p<0.0001) with various thresholds for FDG lesion segmentation. The strongest correlations with iodine content were reached using 10% threshold for segmentation. Only a weak correlation was found between iodine content and the maximal standard uptake value. A significant difference between adenocarcinomas and other histological subtypes was found for selected parameters of metabolic PET and DE-CT data. Conclusion: Our study demonstrated a strong correlation of the iodine content calculated from single-source DE-CT with volumetric FDG parameters in NSCLC. without a significant effect of the threshold value for FDG lesion segmentation.
650    _2
$a dospělí $7 D000328
650    _2
$a senioři $7 D000368
650    _2
$a nemalobuněčný karcinom plic $x diagnostické zobrazování $x metabolismus $7 D002289
650    _2
$a ženské pohlaví $7 D005260
650    _2
$a fluorodeoxyglukosa F18 $7 D019788
650    _2
$a lidé $7 D006801
650    _2
$a jod $7 D007455
650    _2
$a nádory plic $x diagnostické zobrazování $x metabolismus $7 D008175
650    _2
$a mužské pohlaví $7 D008297
650    _2
$a lidé středního věku $7 D008875
650    _2
$a PET/CT $x metody $7 D000072078
650    _2
$a radiofarmaka $7 D019275
655    _2
$a srovnávací studie $7 D003160
655    _2
$a časopisecké články $7 D016428
700    1_
$a Matouskova, Tana $u Department of Imaging Methods, Faculty of Medicine in Pilsen, Charles University Hospital in Pilsen, Czech Republic.
700    1_
$a Ludvik, Jaroslav $u Department of Imaging Methods, Faculty of Medicine in Pilsen, Charles University Hospital in Pilsen, Czech Republic.
700    1_
$a Sedlmair, Martin $u CT Physics and Application Development, Siemens Healthcare, Forchheim, Germany.
700    1_
$a Flohr, Thomas $u CT Physics and Application Development, Siemens Healthcare, Forchheim, Germany.
700    1_
$a Schmidt, Bernhard $u CT Physics and Application Development, Siemens Healthcare, Forchheim, Germany.
700    1_
$a Bejcek, Jiri $u Department of Imaging Methods, Faculty of Medicine in Pilsen, Charles University Hospital in Pilsen, Czech Republic.
700    1_
$a Pesek, Milos $u Department of Pulmonary Diseases, Faculty of Medicine in Pilsen, Charles University Hospital in Pilsen, Czech Republic.
700    1_
$a Ferda, Jiri $u Department of Imaging Methods, Faculty of Medicine in Pilsen, Charles University Hospital in Pilsen, Czech Republic.
773    0_
$w MED00000478 $t Anticancer research $x 1791-7530 $g Roč. 38, č. 7 (2018), s. 4131-4137
856    41
$u https://pubmed.ncbi.nlm.nih.gov/29970540 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y a $z 0
990    __
$a 20181008 $b ABA008
991    __
$a 20181009110134 $b ABA008
999    __
$a ok $b bmc $g 1339988 $s 1030013
BAS    __
$a 3
BAS    __
$a PreBMC
BMC    __
$a 2018 $b 38 $c 7 $d 4131-4137 $i 1791-7530 $m Anticancer research $n Anticancer Res $x MED00000478
LZP    __
$a Pubmed-20181008

Najít záznam

Citační ukazatele

Pouze přihlášení uživatelé

Možnosti archivace

Nahrávání dat ...