Accuracy of 131I tumor quantification in radioimmunotherapy using SPECT imaging with an ultra-high-energy collimator: Monte Carlo study. 2000

Y K Dewaraja, and M Ljungberg, and K F Koral
Internal Medicine Department, The University of Michigan Medical Center, Ann Arbor 48109-0552, USA.

Accuracy of 131I tumor quantification after radioimmunotherapy (RIT) was investigated for SPECT imaging with an ultra-high-energy (UHE) collimator designed for imaging 511-keV photons. METHODS First, measurements and Monte Carlo simulations were carried out to compare the UHE collimator with a conventionally used, high-energy collimator. On the basis of this comparison, the UHE collimator was selected for this investigation, which was carried out by simulation of spherical tumors in a phantom. Reconstruction was by an expectation-maximization algorithm that included scatter and attenuation correction. Keeping the tumor activity constant, simulations were carried out to assess how volume-of-interest (VOI) counts vary with background activity, radius of rotation (ROR), tumor location, and size. The constant calibration factor for quantification was determined from VOI counts corresponding to a 3.63-cm-radius sphere of known activity. Tight VOIs corresponding to the physical size of the spheres or tumors were used. RESULTS Use of the UHE collimator resulted in a large reduction in 131I penetration, which is especially significant in RIT where background uptake is high. With the UHE collimator, typical patient images showed an improvement in contrast. Considering the desired geometric events, sensitivity was reduced, but only by a factor of 1.6. Simulation results for a 3.63-cm-radius tumor showed that VOI counts vary with background, location, and ROR by less than 3.2%, 3%, and 5.3%, respectively. The variation with tumor size was more significant and was a function of the background. Good quantification accuracy (<6.5% error) was achieved when tumor size was the same as the sphere size used in the calibration, irrespective of the other parameters. For smaller tumors, activities were underestimated by up to -15% for the 2.88-cm-radius sphere, -23% for the 2.29-cm-radius sphere, and -47% for the 1.68-cm-radius sphere. CONCLUSIONS Reasonable accuracy can be achieved for VOI quantification of 131I using SPECT with an UHE collimator and a constant calibration factor. Difference in tumor size relative to the size of the calibration sphere had the biggest effect on accuracy, and recovery coefficients are needed to improve quantification of small tumors.

UI MeSH Term Description Entries
D007457 Iodine Radioisotopes Unstable isotopes of iodine that decay or disintegrate emitting radiation. I atoms with atomic weights 117-139, except I 127, are radioactive iodine isotopes. Radioisotopes, Iodine
D008228 Lymphoma, Non-Hodgkin Any of a group of malignant tumors of lymphoid tissue that differ from HODGKIN DISEASE, being more heterogeneous with respect to malignant cell lineage, clinical course, prognosis, and therapy. The only common feature among these tumors is the absence of giant REED-STERNBERG CELLS, a characteristic of Hodgkin's disease. Non-Hodgkin Lymphoma,Diffuse Mixed Small and Large Cell Lymphoma,Diffuse Mixed-Cell Lymphoma,Diffuse Small Cleaved-Cell Lymphoma,Diffuse Undifferentiated Lymphoma,Lymphatic Sarcoma,Lymphoma, Atypical Diffuse Small Lymphoid,Lymphoma, Diffuse,Lymphoma, Diffuse, Mixed Lymphocytic-Histiocytic,Lymphoma, High-Grade,Lymphoma, Intermediate-Grade,Lymphoma, Low-Grade,Lymphoma, Mixed,Lymphoma, Mixed Cell, Diffuse,Lymphoma, Mixed Lymphocytic-Histiocytic,Lymphoma, Mixed Small and Large Cell, Diffuse,Lymphoma, Mixed-Cell,Lymphoma, Mixed-Cell, Diffuse,Lymphoma, Non-Hodgkin's,Lymphoma, Non-Hodgkin, Familial,Lymphoma, Non-Hodgkins,Lymphoma, Nonhodgkin's,Lymphoma, Nonhodgkins,Lymphoma, Pleomorphic,Lymphoma, Small Cleaved Cell, Diffuse,Lymphoma, Small Cleaved-Cell, Diffuse,Lymphoma, Small Non-Cleaved-Cell,Lymphoma, Small Noncleaved-Cell,Lymphoma, Small and Large Cleaved-Cell, Diffuse,Lymphoma, Undifferentiated,Lymphoma, Undifferentiated, Diffuse,Lymphosarcoma,Mixed Small and Large Cell Lymphoma, Diffuse,Mixed-Cell Lymphoma,Mixed-Cell Lymphoma, Diffuse,Non-Hodgkin's Lymphoma,Reticulosarcoma,Reticulum Cell Sarcoma,Reticulum-Cell Sarcoma,Sarcoma, Lymphatic,Sarcoma, Reticulum-Cell,Small Cleaved-Cell Lymphoma, Diffuse,Small Non-Cleaved-Cell Lymphoma,Small Noncleaved-Cell Lymphoma,Undifferentiated Lymphoma,Diffuse Lymphoma,Diffuse Lymphomas,Diffuse Mixed Cell Lymphoma,Diffuse Mixed-Cell Lymphomas,Diffuse Small Cleaved Cell Lymphoma,Diffuse Undifferentiated Lymphomas,High-Grade Lymphoma,High-Grade Lymphomas,Intermediate-Grade Lymphoma,Intermediate-Grade Lymphomas,Low-Grade Lymphoma,Low-Grade Lymphomas,Lymphatic Sarcomas,Lymphocytic-Histiocytic Lymphoma, Mixed,Lymphocytic-Histiocytic Lymphomas, Mixed,Lymphoma, Diffuse Mixed-Cell,Lymphoma, Diffuse Undifferentiated,Lymphoma, High Grade,Lymphoma, Intermediate Grade,Lymphoma, Low Grade,Lymphoma, Mixed Cell,Lymphoma, Mixed Lymphocytic Histiocytic,Lymphoma, Non Hodgkin,Lymphoma, Non Hodgkin's,Lymphoma, Non Hodgkins,Lymphoma, Nonhodgkin,Lymphoma, Small Non Cleaved Cell,Lymphoma, Small Noncleaved Cell,Lymphosarcomas,Mixed Cell Lymphoma,Mixed Cell Lymphoma, Diffuse,Mixed Lymphocytic-Histiocytic Lymphoma,Mixed Lymphocytic-Histiocytic Lymphomas,Mixed Lymphoma,Mixed Lymphomas,Mixed-Cell Lymphomas,Non Hodgkin Lymphoma,Non Hodgkin's Lymphoma,Non-Cleaved-Cell Lymphoma, Small,Non-Hodgkins Lymphoma,Noncleaved-Cell Lymphoma, Small,Nonhodgkin's Lymphoma,Nonhodgkins Lymphoma,Pleomorphic Lymphoma,Pleomorphic Lymphomas,Reticulosarcomas,Reticulum Cell Sarcomas,Reticulum-Cell Sarcomas,Sarcoma, Reticulum Cell,Small Cleaved Cell Lymphoma, Diffuse,Small Non Cleaved Cell Lymphoma,Small Non-Cleaved-Cell Lymphomas,Small Noncleaved Cell Lymphoma,Small Noncleaved-Cell Lymphomas,Undifferentiated Lymphoma, Diffuse,Undifferentiated Lymphomas
D009010 Monte Carlo Method In statistics, a technique for numerically approximating the solution of a mathematical problem by studying the distribution of some random variable, often generated by a computer. The name alludes to the randomness characteristic of the games of chance played at the gambling casinos in Monte Carlo. (From Random House Unabridged Dictionary, 2d ed, 1993) Method, Monte Carlo
D002138 Calibration Determination, by measurement or comparison with a standard, of the correct value of each scale reading on a meter or other measuring instrument; or determination of the settings of a control device that correspond to particular values of voltage, current, frequency or other output. Calibrations
D003198 Computer Simulation Computer-based representation of physical systems and phenomena such as chemical processes. Computational Modeling,Computational Modelling,Computer Models,In silico Modeling,In silico Models,In silico Simulation,Models, Computer,Computerized Models,Computer Model,Computer Simulations,Computerized Model,In silico Model,Model, Computer,Model, Computerized,Model, In silico,Modeling, Computational,Modeling, In silico,Modelling, Computational,Simulation, Computer,Simulation, In silico,Simulations, Computer
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000465 Algorithms A procedure consisting of a sequence of algebraic formulas and/or logical steps to calculate or determine a given task. Algorithm
D012680 Sensitivity and Specificity Binary classification measures to assess test results. Sensitivity or recall rate is the proportion of true positives. Specificity is the probability of correctly determining the absence of a condition. (From Last, Dictionary of Epidemiology, 2d ed) Specificity,Sensitivity,Specificity and Sensitivity
D015899 Tomography, Emission-Computed, Single-Photon A method of computed tomography that uses radionuclides which emit a single photon of a given energy. The camera is rotated 180 or 360 degrees around the patient to capture images at multiple positions along the arc. The computer is then used to reconstruct the transaxial, sagittal, and coronal images from the 3-dimensional distribution of radionuclides in the organ. The advantages of SPECT are that it can be used to observe biochemical and physiological processes as well as size and volume of the organ. The disadvantage is that, unlike positron-emission tomography where the positron-electron annihilation results in the emission of 2 photons at 180 degrees from each other, SPECT requires physical collimation to line up the photons, which results in the loss of many available photons and hence degrades the image. CAT Scan, Single-Photon Emission,CT Scan, Single-Photon Emission,Radionuclide Tomography, Single-Photon Emission-Computed,SPECT,Single-Photon Emission-Computed Tomography,Tomography, Single-Photon, Emission-Computed,Single-Photon Emission CT Scan,Single-Photon Emission Computer-Assisted Tomography,Single-Photon Emission Computerized Tomography,CAT Scan, Single Photon Emission,CT Scan, Single Photon Emission,Emission-Computed Tomography, Single-Photon,Radionuclide Tomography, Single Photon Emission Computed,Single Photon Emission CT Scan,Single Photon Emission Computed Tomography,Single Photon Emission Computer Assisted Tomography,Single Photon Emission Computerized Tomography,Tomography, Single-Photon Emission-Computed
D016499 Radioimmunotherapy Radiotherapy where cytotoxic radionuclides are linked to antibodies in order to deliver toxins directly to tumor targets. Therapy with targeted radiation rather than antibody-targeted toxins (IMMUNOTOXINS) has the advantage that adjacent tumor cells, which lack the appropriate antigenic determinants, can be destroyed by radiation cross-fire. Radioimmunotherapy is sometimes called targeted radiotherapy, but this latter term can also refer to radionuclides linked to non-immune molecules (see RADIOTHERAPY). Immunoradiotherapy,Immunoradiotherapies,Radioimmunotherapies

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