Tumour blood flow and partition coefficients: correlation with grade of cerebral gliomas using xenon-enhanced computed tomography

1997 ◽  
Vol 39 (9) ◽  
pp. 627-632 ◽  
Author(s):  
C. Našel ◽  
K. Rössler ◽  
K. Heimberger ◽  
H. Görzer ◽  
H. Lassmann ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Blood Flow ◽  
Partition Coefficients ◽  
Tumour Blood Flow ◽  
Cerebral Gliomas ◽  
Enhanced Computed Tomography ◽  
Tumour Blood

scholarly journals Potential synergy between PSMA uptake and tumour blood flow for prediction of human prostate cancer aggressiveness

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Mads Ryø Jochumsen ◽  
Jens Sörensen ◽  
Lars Poulsen Tolbod ◽  
Bodil Ginnerup Pedersen ◽  
Jørgen Frøkiær ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Blood Flow ◽  
Negative Predictive Value ◽  
Predictive Value ◽  
Standardized Uptake Value ◽  
Tumour Blood Flow ◽  
Combined Model ◽  
Grade Group ◽  
Cancer Aggressiveness ◽  
Tumour Blood

Abstract Background Both prostate-specific membrane antigen (PSMA) uptake and tumour blood flow (TBF) correlate with International Society of Urological Pathology (ISUP) Grade Group (GG) and hence prostate cancer (PCa) aggressiveness. The aim of the present study was to evaluate the potential synergistic benefit of combining the two physiologic parameters for separating significant PCa from insignificant findings. Methods From previous studies of [82Rb]Rb positron emission tomography (PET) TBF in PCa, the 43 patients that underwent clinical [68Ga]Ga-PSMA-11 PET were selected for this retrospective study. Tumours were delineated on [68Ga]Ga-PSMA-11 PET or magnetic resonance imaging. ISUP GG was recorded from 52 lesions. Results [68Ga]Ga-PSMA-11 maximum standardized uptake value (SUVmax) and [82Rb]Rb SUVmax correlated moderately with ISUP GG (rho = 0.59 and rho = 0.56, both p < 0.001) and with each other (r = 0.65, p < 0.001). A combined model of [68Ga]Ga-PSMA-11 and [82Rb]Rb SUVmax separated ISUP GG > 2 from ISUP GG 1–2 and benign with an area-under-the-curve of 0.85, 96% sensitivity, 74% specificity, and 95% negative predictive value. The combined model performed significantly better than either tracer alone did (p < 0.001), primarily by reducing false negatives from five or six to one (p ≤ 0.025). Conclusion PSMA uptake and TBF provide complementary information about tumour aggressiveness. We suggest that a combined analysis of PSMA uptake and TBF could significantly improve the negative predictive value and allow non-invasive separation of significant from insignificant PCa.

Arterial spin labelling and diffusion-weighted magnetic resonance imaging in differentiation of recurrent head and neck cancer from post-radiation changes

2018 ◽  
Vol 132 (10) ◽  
pp. 923-928 ◽  
Author(s):  
A A K Abdel Razek
Keyword(s):  
Blood Flow ◽  
Head And Neck Cancer ◽  
Head And Neck ◽  
Neck Cancer ◽  
Arterial Spin Labelling ◽  
Tumour Blood Flow ◽  
Apparent Diffusion ◽  
Post Radiation ◽  
Recurrent Head ◽  
Tumour Blood

AbstractObjectiveTo assess arterial spin labelling and diffusion-weighted imaging in the differentiation of recurrent head and neck cancer from post-radiation changes.MethodsA retrospective study was conducted of 47 patients with head and neck cancer, treated with radiotherapy, who underwent magnetic resonance arterial spin labelling and diffusion-weighted magnetic resonance imaging. Tumour blood flow and apparent diffusion co-efficient of the lesion were calculated.ResultsThere was significant difference (p= 0.001) in tumour blood flow between patients with recurrent head and neck cancer (n= 31) (47.37 ± 16.3 ml/100 g/minute) and those with post-radiation changes (n= 16) (18.80 ± 2.9 ml/100 g/minute). The thresholds of tumour blood flow and apparent diffusion co-efficient used for differentiating recurrence from post-radiation changes were more than 24.0 ml/100 g/minute and 1.21 × 10−3mm2/second or less, with area under the curve values of 0.94 and 0.90, and accuracy rates of 88.2 per cent and 88.2 per cent, respectively. The combined tumour blood flow and apparent diffusion co-efficient values used for differentiating recurrence from post-radiation changes had an area under the curve of 0.96 and an accuracy of 90.2 per cent.ConclusionCombined tumour blood flow and apparent diffusion co-efficient can differentiate recurrence from post-radiation changes.

Influence of vasoactive drugs and ischaemia on intra-tumour blood flow distribution

1978 ◽  
Vol 14 (7) ◽  
pp. 761-764 ◽  
Author(s):  
J. Mattson ◽  
L. Appelgren ◽  
L. Karlsson ◽  
H.-I. Peterson
Keyword(s):  
Blood Flow ◽  
Flow Distribution ◽  
Blood Flow Distribution ◽  
Vasoactive Drugs ◽  
Tumour Blood Flow ◽  
Tumour Blood

scholarly journals Effect of Xenon-Induced Flow Activation on Xenon-Enhanced Computed Tomography Cerebral Blood Flow Calculations

1998 ◽  
Vol 18 (11) ◽  
pp. 1192-1195 ◽  
Author(s):  
Walter D. Obrist ◽  
Zihong Zhang ◽  
Howard Yonas
Keyword(s):  
Computed Tomography ◽  
Blood Flow ◽  
Blood Velocity ◽  
Time Varying ◽  
Standard Analysis ◽  
Stable Xenon ◽  
Flow Activation ◽  
Induced Flow ◽  
Minimal Bias ◽  
Enhanced Computed Tomography

Computer simulations of stable xenon (sXe) uptake curves were used to evaluate the effect of xenon-induced flow activation on CBF calculations by xenon-enhanced computed tomography, Estimates of flow activation were based on repeated transcranial Doppler measurements of blood velocity during 4,5 minutes of sXe inhalation, The synthetic curves were generated from a generalized Kety equation that included time-varying blood flow activation, In contrast to the peak 35% increase in blood flow velocity during sXe inhalation, a standard analysis of the flow-varying synthetic curves revealed only minor 3% to 5% increases in calculated CBF. It is concluded that brief xenon inhalations can provide blood flow estimates that contain minimal bias from activation.

Comparison of tumour blood flow changes induced by stepup and stepdown heating

1996 ◽  
Vol 12 (1) ◽  
pp. 139-146 ◽  
Author(s):  
S. V. Kozin ◽  
M. B. Borisov ◽  
T. Hasegawa ◽  
S. K. Ha-Kawa ◽  
Y. Tanaka
Keyword(s):  
Blood Flow ◽  
Tumour Blood Flow ◽  
Flow Changes ◽  
Tumour Blood
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