ArticleAmerican journal of nuclear medicine and molecular imaging2015
Measurement of hypoxia-related parameters in three sublines of a rat prostate carcinoma using dynamic (18)F-FMISO-Pet-Ct and quantitative histology.
Article in American journal of nuclear medicine and molecular imaging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 13 citations in OpenAlex.
- Article
- RepurposingTheranostics · 2021Article
- Anatomy and Imaging of Rat Prostate: Practical Monitoring in Experimental Cancer-Induced Protocols.Diagnostics (Basel, Switzerland) · 2019Review
- Examining correlations of oxygen sensitive MRI (BOLD/TOLD) with [American journal of nuclear medicine and molecular imaging · 2019Article
- How to Modulate Tumor Hypoxia for Preclinical In Vivo Imaging Research.Contrast media & molecular imaging · 2018Review
- Carbon ion radiotherapy: impact of tumor differentiation on local control in experimental prostate carcinomas.Radiation oncology (London, England) · 2017Article
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hypoxia is an important resistance factor in radiotherapy and measuring its spatial distribution in tumors non-invasively is therefore of major importance. This study characterizes the hypoxic conditions of three tumor sublines (AT1, HI and H) of the Dunning R3327 prostate tumor model, which differ in histology, differentiation degree, volume doubling time and androgenic sensitivity, using dynamic Fluoromisonidazole ((18)F-FMISO)-Positron Emission Tomography/Computed Tomography (PET-CT) and histology. Measurements were performed for two tumor volumes (average 0.8±0.5 cm(3) vs 4.4±2.8 cm(3)). Data were analyzed according to tumor subline as well as to the shape of the time activity curves (TACs), based on standardized uptake values (SUVs) and a two-tissue compartment model. Quantitative immunohistochemical studies of the hypoxic fraction, vessel density and vessel size were performed using pimonidazole, Hoechst 33342 and CD31 dyes. No significant FMISO uptake was found in small tumors, which had a mean SUV of 0.64±0.36, 0.55±0.10 and 0.45±0.08, for AT1, HI and H sublines respectively. In large tumors, the SUVs were 1.33±0.52, 1.12±0.83 and 0.63±0.16 for AT1, HI and H sublines and the corresponding hypoxic fractions obtained with pimonidazole staining were 0.62±0.23, 0.54±0.24 and 0.07±0.10, respectively. The AT1- was the most and H-tumor was the least hypoxic for both methods (P<0.05). All measurements were able to discriminate different hypoxic conditions, however despite SUV and kinetic parameters correlated with the three identified TAC shapes, most of the histological results did not. These results demonstrate impact and limitations of static and dynamic PET-CT measurements to assess hypoxia non-invasively.
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26269773PMC4529589W2417841720What OpenQuestion holds
Registered trials
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