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Unlabelled: The objective of this work was to determine normal organ (131)I dosimetry in patients undergoing radioiodide therapy for thyroid cancer by use of serial scanning with (124)I PET., Methods: A total of 26 patients who had papillary and follicular metastatic thyroid cancer and who were already enrolled in a Memorial Sloan-Kettering Cancer Center (131)I thyroid cancer protocol were selected for this study. Imaging before (131)I therapy consisted of multiple, whole-body (124)I PET studies over a period of 2-8 d, an (18)F-FDG PET scan and, for some, a diagnostic CT scan. With a set of in-house-developed software tools (3-dimensional internal dosimetry [3D-ID] and Multiple Image Analysis Utility [MIAU]), the following procedures were performed: all PET emission and transmission and CT image sets were aligned; half-life-corrected tomographic images of (131)I activity were integrated voxel by voxel to produce cumulated (131)I activity images; and the latter images were, in turn, convolved with a (131)I electron-photon point kernel to produce images of (131)I dose distribution. Cumulated activity values and calculated residence times obtained from our patient-specific dosimetry software (3D-ID) were used as inputs to OLINDA, and volume difference-adjusted comparisons were made between the mean dose estimates., Results: With 3D-ID, dose volume histograms and mean doses were calculated for 14 organs, and results were expressed in Gy/GBq. The highest mean dose, 0.26 Gy/GBq, was seen in the right submandibular gland, whereas the lowest mean dose, 0.029 Gy/GBq, was seen in the brain., Conclusion: This is the first comprehensive study of normal organ dosimetry in patients by use of a quantitative tomographic imaging modality.

Molecular imaging represents the intersection between imaging and genomic sciences. There has been a surge in research literature and information in both sciences. Information contained within molecular imaging literature could be used to 1) link to genomic and imaging information resources and 2) to organize and index images. This research focuses on the adaptation, evaluation, and application of BioMedLEE, a natural language processing system (NLP), in the automated extraction of information from molecular imaging abstracts.

Unlabelled: Compared with conventional, whole-organ, S-factor-based dosimetry, 3-dimensional (3D), patient-specific dosimetry better accounts for radionuclide distribution and anatomic patient variability. Its accuracy, however, is limited by the quality of the cumulated activity information that is provided as input. This input has typically been obtained from SPECT and planar imaging studies. The objective was to implement and evaluate PET-based, patient-specific, 3D dosimetry for thyroid cancer patients., Methods: Three to 4 PET imaging studies were obtained over a 7-d period in 15 patients with metastatic thyroid carcinoma after administration of (124)I-NaI. Subsequently, patients were treated with (131)I on the basis of established clinical parameters. Retrospective dosimetry was performed using registered (124)I PET images that were corrected for the half-life difference between (124)I and (131)I. A voxel-by-voxel integration, over time, of the resulting (131)I-equivalent PET-derived images was performed to provide a single 3D dataset representing the spatial distribution of cumulated activity values for each patient. Image manipulation and registration were performed using Multiple Image Analysis Utility (MIAU), a software package developed previously. The software package, 3D-Internal Dosimetry (3D-ID), was used to obtain absorbed dose maps from the cumulated activity image sets., Results: Spatial distributions of absorbed dose, isodose contours, dose-volume histograms (DVHs), and mean absorbed dose estimates were obtained for a total of 56 tumors. Mean absorbed dose values for individual tumors ranged from 1.2 to 540 Gy. The absorbed dose distribution within individual tumors was widely distributed ranging from a minimum of 0.3 to a maximum of 4,000 Gy., Conclusion: (124)I PET-based, patient-specific 3D dosimetry is feasible, and sequential PET can be used to obtain cumulated activity images for 3D dosimetry.

Unlabelled: Preclinical biodistribution and pharmacokinetics of investigational radiopharmaceuticals are typically obtained by longitudinal animal studies. These have required the sacrifice of multiple animals at each time point. Advances in small-animal imaging have made it possible to evaluate the biodistribution of radiopharmaceuticals across time in individual animals, in vivo. MicroPET and MRI-based preclinical biodistribution and localization data were obtained and used to assess the therapeutic potential of (90)Y-trastuzumab monoclonal antibody (mAb) (anti-HER2/neu) against ovarian carcinoma., Methods: Female nude mice were inoculated intraperitoneally with 5.10(6) ovarian carcinoma cells (SKOV3). Fourteen days after inoculation, 12-18 MBq (86)Y-labeled trastuzumab mAb was injected intraperitoneally. Tumor-free mice, injected with (86)Y-trastuzumab, and tumor-bearing mice injected with labeled, irrelevant mAb or (86)Y-trastuzumab + 100-fold excess unlabeled trastuzumab were used as controls. Eight microPET studies per animal were collected over 72 h. Standard and background images were collected for calibration. MicroPET images were registered with MR images acquired on a 1.5-T whole-body MR scanner. For selected time points, 4.7-T small-animal MR images were also obtained. Images were analyzed and registered using software developed in-house. At completion of imaging, suspected tumor lesions were dissected for histopathologic confirmation. Blood, excised normal organs, and tumor nodules were measured by gamma-counting. Tissue uptake was expressed relative to the blood concentration (percentage of injected activity per gram of tissue [%IA/g]/%IA/g blood). (86)Y-Trastuzumab pharmacokinetics were used to perform (90)Y-trastuzumab dosimetry., Results: Intraperitoneal injection of mAb led to rapid blood-pool uptake (5-9 h) followed by tumor localization (26-32 h), as confirmed by registered MR images. Tumor uptake was greatest for (86)Y-trastuzumab (7 +/- 1); excess unlabeled trastuzumab yielded a 70% reduction. Tumor uptake for the irrelevant mAb was 0.4 +/- 0.1. The concentration in normal organs relative to blood ranged from 0 to 1.4 across all studies, with maximum uptake in spleen. The absorbed dose to the kidneys was 0.31 Gy/MBq (90)Y-trastuzumab. The liver received 0.48 Gy/MBq, and the spleen received 0.56 Gy/MBq. Absorbed dose to tumors varied from 0.10 Gy/MBq for radius = 0.1 mm to 3.7 Gy/MBq for radius = 5 mm., Conclusion: For all injected compounds, the relative microPET image intensity of the tumor matched the subsequently determined (86)Y uptake. Coregistration with MR images confirmed the position of (86)Y uptake relative to various organs. Radiolabeled trastuzumab mAb was shown to localize to sites of disease with minimal normal organ uptake. Dosimetry calculations showed a strong dependence on tumor size. These results demonstrate the usefulness of combined microPET and MRI for the evaluation of novel therapeutics.

Unlabelled: A comprehensive, SPECT-based, patient-specific 3-dimensional (3D) dosimetry analysis has been performed using 3D-ID, a previously developed software package. The role of the total-body tumor burden, individual lesion size, tumor absorbed dose, and the spatial distribution of the absorbed dose on response and on the time course of tumor shrinkage has been examined in patients with lymphoma treated by radioimmunotherapy., Methods: Data from 15 patients participating in a phase II study of (131)I-labeled anti-B1 antibody (tositumomab) were used. Patients were administered a tracer dose of (131)I for imaging and pharmacokinetics. Dose estimates from the tracer studies were used to prescribe the therapeutic administration such that the whole-body absorbed dose did not exceed 75 cGy. All patients received a fixed mass amount of antibody for both the tracer and the therapeutic administrations. SPECT and planar imaging were performed 3-4 d after the therapeutic administration. CT or MRI scans were available on all patients. Total tumor burden was assessed by drawing contours around all lymphoma lesions identified on whole-body CT or MRI. Mean absorbed doses were estimated for selected, index lesions by conventional dosimetry and also by 3D SPECT-based dosimetry. Using a patient-specific dosimetry package, 3D-ID, dose-volume histograms were also generated to assess the spatial distribution of absorbed dose. This approach made it possible to obtain estimates of the minimum and maximum absorbed doses for individual tumors in addition to the mean., Results: Mean absorbed dose estimates obtained by patient-specific SPECT-based dosimetry using 3D-ID were within 2%-5% of estimates obtained by conventional dosimetry. None of the absorbed dose parameters (mean, minimum, maximum, uniformity) were found to have a significant correlation with tumor response. The total-body tumor burden did not impact on overall response or toxicity., Conclusion: This analysis represents the first full reported implementation of a patient-specific 3D dosimetry package. The absence of a dose-response relationship for tumors is surprising and suggests that absorbed dose is not the sole determinant of tumor response in these patients. The absence of a correlation between the total-body tumor burden and overall response or toxicity suggests that tailoring the milligram amount of administered antibody to patient tumor burden is not likely to improve response or reduce toxicity.