BACKGROUND: 177 Lu-(DOTA0,Tyr3) octreotate is a new treatment modality for disseminated neuroendocrine tumors. According to a consensus protocol, the calculated maximally tolerated absorbed dose to the kidney should not exceed 27 Gy. In commonly used dosimetry methods, planar imaging is used for determination of the residence time, whereas the kidney mass is determined from a computed tomography (CT) scan. METHODS: Three different quantification methods were used to evaluate the absorbed dose to the kidneys. The first method involved common planar activity imaging, and the absorbed dose was calculated using the medical internal radiation dose (MIRD) formalism, using CT scan-based kidney masses. For this method, 2 region of interest locations for the background correction were investigated. The second method also included single-photon emission computed tomography (SPECT) data, which were used to scale the amplitude of the time-activity curve obtained from planar images. The absorbed dose was calculated as in the planar method. The third method used quantitative SPECT images converted to absorbed dose rate images, where the median absorbed dose rate in the kidneys was calculated in a volume of interest defined over the renal cortex. RESULTS: For some patients, the results showed a large difference in calculated kidneyabsorbed doses, depending on the dosimetry method. The 2 SPECT-based methods generally gave consistent values, although the calculations were based on different assumptions. Dosimetry using the baseline planar method gave higher absorbed doses in all patients. The values obtained from planar imaging with a background region of interest placed adjacent to the kidneys were more consistent with dosimetry also including SPECT. For the accumulated tumor absorbed dose, the first 2 of the 4 planned therapy cycles made the major contribution. CONCLUSIONS: The results suggested that patients evaluated according to the conventional planar-based dosimetry method may have been undertreated compared with the other methods. Hematology and creatinine did not indicate any restriction for a more aggressive approach, which would be especially useful in patients with more aggressive tumors where there is not time for more protracted therapy. Cancer 2010;116(4 suppl):1084-92.

The aim of this work was to develop a pharmacokinetic model for the analysis of the pharmacokinetics of (111)Inlabeled monoclonal antibodies (mAbs) in B-cell lymphoma patients and to evaluate the model's ability to predict a subsequent radioimmunotherapy by (90)Y-labeled mAbs. Data from quantified scintillation camera images and blood samples were used to fit a compartment model. The modeling included two steps: 1) a two-compartment model describing the total-body kinetics for the estimation of a set of global parameters and 2) a multicompartment model for estimating the model parameters for organs. In both steps, a correction for radiochemical impurity in the form of (111)In-DTPA (diethylene triamine pentaacetic acid) was included. The model was found to describe all patient data with good accuracy. From the model, the time-activity data of all organs could be separated into extravascular and vascular components, where the estimates of the regional vascular volumes were found to be in close agreement with literature data. A significant improvement of the model fit to total-body activity data was obtained by correcting for radiochemical impurity. The therapy kinetics area under the curves (AUCs) predicted from pretherapy data were in good agreement with the measured therapy AUCs. The good correlation between the model estimates and measured data, the accurate prediction of the therapy kinetics, and the good estimates of regional vascular volumes demonstrates the reliability of the model. These findings also indicate that the model can be useful for individual optimization of the amount of activity to be administered with respect to patient dosimetry.

We present a method for pharmacokinetic modeling of distributions of 111 In-labeled monoclonal antibodies (mAbs) on individual pixels of planar scintillation-camera images. Methods: The method is applied to 2 sets of clinical whole-body images, each consisting of 6 consecutive images acquired over a week. Quantification is performed on a pixel basis, yielding images in units of Bq/pixel. The images acquired on the different occasions are registered using a nonrigid method, and for each pixel location a time-activity curve is obtained for which kinetic modeling is performed. The 111 In-mAb is assumed to be located in either the vascular or the extravascular space. The vascular content is assumed to follow the global blood kinetics as determined from blood samples, together with a model parameter a that describes the fraction of the whole-body blood volume present in the particular pixel. The rate of change of the extravascular compartment is described by a linear 1-tissue-compartment model with 2 rate constants, K9 1 and k 2 , reflecting extravasation and washout, respectively. The model is optimized for each pixel position with regard to the values of the 3 parameters (a, K9 1 , and k 2 ), resulting in 3 parametric images. From these, images of the cumulated activity in vascular and extravascular spaces are calculated, as is an image of the rate-constants ratio, which is closely related to the volume of distribution. Results: The resulting parametric images are analyzed in terms of the appearance of the time-activity curves at various locations. Results also include interpretation of the parametric images in their clinical context, and the location of regions that exhibit high extravasation and a low washout rate is compared with confirmed malignant sites. Conclusion: Parametric imaging allows the study and analysis of the spatial and temporal distributions of mAbs simultaneously. Parametric imaging enhances regions where the pharmacokinetics differ from the surrounding tissue and provides a tool to detect and locate unexpected kinetic behavior, which is sometimes characteristic of malignant tissue. For dosimetry in radionuclide therapy, parametric imaging offers a less biased means of analyzing serial mAb images than traditional region-of-interestbased analysis.