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1.
J Nucl Med ; 38(4): 512-6, 1997 Apr.
Article in English | MEDLINE | ID: mdl-9098192

ABSTRACT

UNLABELLED: The objective of this work was to develop patient-specific dosimetry for patients with metastatic gastrointestinal tract cancers who received 111In-CC49 IgG for imaging before therapy with 90Y-CC49 IgG. METHODS: Whole-body imaging of 12 patients, who received 111-185 MBq (3-5 mCi) of 111In-CC49, commenced in < 2 hr postinfusion and was continued daily for 4-5 days. SPECT data were acquired at 24 and 72 hr to determine the range of 111In-CC49 activity concentrations in tumors and normal organs. Time-activity curves were generated from the image data and scaled from 111In-CC49 to 90Y-CC49 for dosimetric purposes. Absorbed-dose calculations for 90Y-CC49 included the mean and range in tumor and normal organs. Computed 90Y-CC49 activity concentrations were compared with measurements on 10 needle biopsies of normal liver and four tumor biopsies. RESULTS: In 9 of 10 normal liver samples, the range of computed 90Y-CC49 activity concentrations bracketed measured values. This was also the case for 3 of 4 tumor biopsies. Absorbed-dose calculations for 90Y-CC49 were based on patients' images and activities in tissue samples and, hence, were patient-specific. CONCLUSION: For the radiolabeled antibody preparations used in this study, quantitative imaging of 111In-CC49 provided the data required for 90Y-CC49 dosimetry. The range of activities in patients' SPECT images was determined for a meaningful comparison of measured and computed values. Knowledge of activity distributions in tumors and normal organs was essential for computing mean values and ranges of absorbed dose and provided a more complete description of the absorbed dose from 90Y-CC49 than was possible with planar methods.


Subject(s)
Antibodies, Monoclonal , Gastrointestinal Neoplasms/diagnostic imaging , Gastrointestinal Neoplasms/radiotherapy , Indium Radioisotopes , Radioimmunotherapy , Yttrium Radioisotopes/therapeutic use , Absorption , Aged , Antigens, Neoplasm/immunology , Female , Gastrointestinal Neoplasms/secondary , Glycoproteins/immunology , Half-Life , Humans , Indium Radioisotopes/pharmacokinetics , Liver/radiation effects , Male , Middle Aged , Radiotherapy Dosage , Spleen/radiation effects , Tomography, Emission-Computed, Single-Photon , Yttrium Radioisotopes/pharmacokinetics
2.
J Nucl Med ; 38(2): 308-14, 1997 Feb.
Article in English | MEDLINE | ID: mdl-9025760

ABSTRACT

UNLABELLED: The objective of this study was to develop a three-dimensional discrete Fourier transform (3D-DFT) convolution method to perform the dosimetry for 131I-labeled antibodies in soft tissues. METHODS: Mathematical and physical phantoms were used to compare 3D-DFT with Monte Carlo transport (MCT) calculations based on the EGS4 code. The mathematical and physical phantoms consisted of a sphere and a cylinder, respectively, containing uniform and non-uniform activity distributions. Quantitative SPECT reconstruction was carried out using the circular harmonic transform (CHT) algorithm. RESULTS: The radial dose profile obtained from MCT calculations and the 3D-DFT convolution method for the mathematical phantom were in close agreement. The root mean square error (RMSE) for the two methods was < 0.1%, with a maximum difference < 21%. Results obtained for the physical phantom gave a RMSE < 0.1% and a maximum difference of < 13%; isodose contours were in good agreement. SPECT data for two patients who had undergone 131I radioimmunotherapy (RIT) were used to compare absorbed-dose rates and isodose rate contours with the two methods of calculation. This yielded a RMSE < 0.02% and a maximum difference of < 13%. CONCLUSION: Our results showed that the 3D-DFT convolution method compared well with MCT calculations. The 3D-DFT approach is computationally much more efficient and, hence, the method of choice. This method is patient-specific and applicable to the dosimetry of soft-tissue tumors and normal organs. It can be implemented on personal computers.


Subject(s)
Models, Theoretical , Radioimmunotherapy , Radiotherapy Planning, Computer-Assisted , Tomography, Emission-Computed, Single-Photon , Algorithms , Fourier Analysis , Humans , Iodine Radioisotopes , Monte Carlo Method , Phantoms, Imaging , Radioimmunodetection
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