MO-D-141-01: Quantification of Tumor Hypoxia Using [18F]-Fluoromisonidazole Positron Emission Tomography and Tracer Kinetic Modeling

2013 ◽  
Vol 40 (6Part24) ◽  
pp. 399-399
Author(s):  
O Kelada ◽  
S Rockwell ◽  
RE Carson ◽  
RH Decker ◽  
U Oelfke ◽  
...  
2006 ◽  
Vol 24 (13) ◽  
pp. 2098-2104 ◽  
Author(s):  
Danny Rischin ◽  
Rodney J. Hicks ◽  
Richard Fisher ◽  
David Binns ◽  
June Corry ◽  
...  

Purpose To determine the association between tumor hypoxia, treatment regimen, and locoregional failure (LRF) in patients with stage III or IV squamous cell carcinoma of the head and neck randomly assigned to radiotherapy (70 Gy in 35 fractions over 7 weeks) plus either tirapazamine and cisplatin in weeks 1, 4, and 7 and tirapazamine alone in weeks 2 and 3 (TPZ/CIS) or cisplatin and infusional fluorouracil during weeks 6 and 7 (chemoboost). Patients and Methods Forty-five patients were enrolled onto a hypoxic imaging substudy of a larger randomized trial. Pretreatment and midtreatment [18F]-fluoromisonidazole positron emission tomography scans (FMISO-PET) were performed 2 hours after tracer administration, with qualitative scoring of uptake in both primary tumors and nodes. Results Thirty-two patients (71%) had detectable hypoxia in either or both primary and nodal disease. In patients who received chemoboost, one of 10 patients without hypoxia had LRF compared with eight of 13 patients with hypoxia; the risk of LRF was significantly higher in hypoxic patients (exact log-rank, P = .038; hazard ratio [HR] = 7.1). By contrast, in patients who received the TPZ/CIS regimen, only one of 19 patients with hypoxic tumors had LRF; risk of LRF was significantly higher in chemoboost patients (P = .001; HR = 15). Similarly, looking at the primary site alone, in patients with hypoxic primaries, zero of eight patients treated with TPZ/CIS experienced failure locally compared with six of nine patients treated with chemoboost (P = .011; HR = 0). Conclusion Hypoxia on FMISO-PET imaging, in patients receiving a nontirapazamine-containing chemoradiotherapy regimen, is associated with a high risk of LRF. Our data provide the first clinical evidence to support the experimental observation that tirapazamine acts by specifically targeting hypoxic tumor cells.


2004 ◽  
pp. 499-540 ◽  
Author(s):  
EVAN D. MORRIS ◽  
CHRISTOPHER J. ENDRES ◽  
KATHLEEN C. SCHMIDT ◽  
BRADLEY T. CHRISTIAN ◽  
RAYMOND F. MUZIC ◽  
...  

2002 ◽  
Vol 22 (12) ◽  
pp. 1425-1439 ◽  
Author(s):  
Roger N. Gunn ◽  
Steve R. Gunn ◽  
Federico E. Turkheimer ◽  
John A. D. Aston ◽  
Vincent J. Cunningham

A kinetic modeling approach for the quantification of in vivo tracer studies with dynamic positron emission tomography (PET) is presented. The approach is based on a general compartmental description of the tracer's fate in vivo and determines a parsimonious model consistent with the measured data. The technique involves the determination of a sparse selection of kinetic basis functions from an overcomplete dictionary using the method of basis pursuit denoising. This enables the characterization of the systems impulse response function from which values of the systems macro parameters can be estimated. These parameter estimates can be obtained from a region of interest analysis or as parametric images from a voxel-based analysis. In addition, model order estimates are returned that correspond to the number of compartments in the estimated compartmental model. Validation studies evaluate the methods performance against two preexisting data led techniques, namely, graphical analysis and spectral analysis. Application of this technique to measured PET data is demonstrated using [11C]diprenorphine (opiate receptor) and [11C]WAY-100635 (5-HT1A receptor). Although the method is presented in the context of PET neuroreceptor binding studies, it has general applicability to the quantification of PET/SPECT radiotracer studies in neurology, oncology, and cardiology.


2018 ◽  
Vol 61 (4) ◽  
pp. 370-379 ◽  
Author(s):  
Paulo Sérgio Gonçalves Nunes ◽  
Zhengxing Zhang ◽  
Hsiou-Ting Kuo ◽  
Chengcheng Zhang ◽  
Julie Rousseau ◽  
...  

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