An accurate calculation of the absorbed dose at the cellular level can lead to the optimization of the administered activity and the best clinical response in radionuclide therapy. This paper describes the implementation of dose-volume histograms (DVHs) for dosimetry at the cellular level in radionuclide therapy. The FOTELP code, based on Monte Carlo simulations of photon and electron transport, was used on a three-dimensional multicellular tumor model, which includes tumor morphometry and cell-labeling parameters. Differential and cumulated DVHs were generated for different radionuclides (Cu-67, I-131, Sm-153, Y-90, and Re-188) and labeled cell densities (10, 20, 40, 80, and 100%). DVHs were generated as a percentage of tumor cells in the function of a relative absorbed dose, defined as a cell-absorbed dose divided by an average tumor-absorbed dose. DVHs for high-energy beta emitters, such as Re-188 and Y- 90, were very close to the average tumor-absorbed dose. For low-energy beta emitters, such as Cu-67 and I-131, spectra showed that many cells absorbed a much lower dose than the average tumor-absorbed dose. Nonhomogeneity of the radionuclide distribution in tumor, presented by labeled cell density, had a greater influence on DVHs for low-energy beta emitters. Radionuclide therapy plans can be optimized using DVHs.

A three-dimensional (3D) point-kernel multiple scatter model for point spread function (PSF) determination in parallel-beam single-photon emission computed tomography (SPECT), based on a dose gamma-ray buildup factor, is proposed. This model embraces nonuniform attenuation in a voxelized object of imaging (patient body) and multiple scattering that is treated as in the point-kernel integration gamma-ray shielding problems. First-order Compton scattering is done by means of the Klein-Nishina formula, but the multiple scattering is accounted for by making use of a dose buildup factor. An asset of the present model is the possibility of generating a complete two-dimensional (2D) PSF that can be used for 3D SPECT reconstruction by means of iterative algorithms. The proposed model is convenient in those situations where more exact techniques are not economical. For the proposed model's testing purpose calculations (for the point source in a nonuniform scattering object for parallel beam collimator geometry), the multiple-order scatter PSF generated by means of the proposed model matched well with those using Monte Carlo (MC) simulations. Discrepancies are observed only at the exponential tails mostly due to the high statistic uncertainty of MC simulations in this area, but not because of the inappropriateness of the model.

The aim of this study was to evaluate the accuracy of myocardial perfusion scintigraphy with technetium-99m tetrofosmin by single-photon emission computed tomography (SPECT), using one-day protocol in the identification and localization of individual stenosed coronary vessels. Sixty-eight patients with suspected coronary artery disease (CAD) were studied. In thirty of them coronary angiography showed significant stenosis (> or = 50%). Nine patients were with one-vessel disease, 11 were with two-vessel disease, and 10 were with three-vessel disease. All the patients were administered two i.v. injections of 99mTc tetrofosmin, one at peak pharmacologic exercise (1-3 min after i.v. administration of dipiridamol 0.56 mg per kg during 4 min) 370 MBq, and the other 740 MBq at rest 3 hrs after the exercise test (acquisition was obtained 15-30 min after injections for both studies). Overall sensitivity, specificity, and diagnostic accuracy in the identification of individual stenosed coronary vessels were 90%, 86%, and 88%, respectively. Sensitivity, specificity, and accuracy in each of the individual vascular territories were not significantly different: LAD (96%, 64%, and 75%), ACx (73%, 100%, and 94%), RCA (95%, 93%, and 94%). The results of this study demonstrated one-day 99mTc-tetrofosmin SPECT scintigraphy to be suitable and accurate technique for the identification and localization of individual stenosed coronary vessels, as well as a highly sensitive method in the recognition of one- and multiple-vessel diseases of coronary arteries.