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1.
Endocr Rev ; 35(5): 717-46, 2014 Oct.
Article in English | MEDLINE | ID: mdl-24977318

ABSTRACT

Nuclear medicine imaging of endocrine disorders takes advantage of unique cellular properties of endocrine organs and tissues that can be depicted by targeted radiopharmaceuticals. Detailed functional maps of biodistributions of radiopharmaceutical uptake can be displayed in three-dimensional tomographic formats, using single photon emission computed tomography (CT) that can now be directly combined with simultaneously acquired cross-sectional anatomic maps derived from CT. The integration of function depicted by scintigraphy and anatomy with CT has synergistically improved the efficacy of nuclear medicine imaging across a broad spectrum of clinical applications, which include some of the oldest imaging studies of endocrine dysfunction.


Subject(s)
Endocrine System Diseases/diagnostic imaging , Multimodal Imaging/methods , Tomography, Emission-Computed, Single-Photon/methods , Tomography, X-Ray Computed/methods , Humans , Multimodal Imaging/instrumentation , Tomography, Emission-Computed, Single-Photon/instrumentation , Tomography, X-Ray Computed/instrumentation
2.
J Nucl Med ; 55(7): 1047-53, 2014 Jul.
Article in English | MEDLINE | ID: mdl-24842891

ABSTRACT

UNLABELLED: The study aimed at identifying patient-specific dosimetric and nondosimetric factors predicting outcome of non-Hodgkin lymphoma patients after (131)I-tositumomab radioimmunotherapy for potential use in treatment planning. METHODS: Tumor-absorbed dose measures were estimated for 130 tumors in 39 relapsed or refractory non-Hodgkin lymphoma patients by coupling SPECT/CT imaging with the Dose Planning Method (DPM) Monte Carlo code. Equivalent biologic effect was calculated to assess the biologic effects of nonuniform absorbed dose including the effects of the unlabeled antibody. Evaluated nondosimetric covariates included histology, presence of bulky disease, and prior treatment history. Tumor level outcome was based on volume shrinkage assessed on follow-up CT. Patient level outcome measures were overall response (OR), complete response (CR), and progression-free survival (PFS), determined from clinical assessments that included PET/CT. RESULTS: The estimated mean tumor-absorbed dose had a median value of 275 cGy (range, 94-711 cGy). A high correlation was observed between tracer-predicted and therapy-delivered mean tumor-absorbed doses (P < 0.001; r = 0.85). In univariate tumor-level analysis, tumor shrinkage correlated significantly with almost all of the evaluated dosimetric factors, including equivalent biologic effect. Regression analysis showed that OR, CR, and PFS were associated with the dosimetric factors and equivalent biologic effect. Both mean tumor-absorbed dose (P = 0.025) and equivalent biologic effect (P = 0.035) were significant predictors of PFS whereas none of the nondosimetric covariates were found to be statistically significant factors affecting PFS. The most important finding of the study was that in Kaplan-Meier curves stratified by mean dose, longer PFS was observed in patients receiving mean tumor-absorbed doses greater than 200 cGy than in those receiving 200 cGy or less (median PFS, 13.6 vs. 1.9 mo for the 2 dose groups; log-rank P < 0.0001). CONCLUSION: A higher mean tumor-absorbed dose was significantly predictive of improved PFS after (131)I-tositumomab radioimmunotherapy. Hence tumor-absorbed dose, which can be estimated before therapy, can potentially be used to design radioimmunotherapy protocols to improve efficacy.


Subject(s)
Antibodies, Monoclonal/therapeutic use , Lymphoma, Non-Hodgkin/radiotherapy , Precision Medicine/methods , Radiation Dosage , Radioimmunotherapy , Adult , Aged , Aged, 80 and over , Disease-Free Survival , Female , Humans , Lymphoma, Non-Hodgkin/diagnostic imaging , Lymphoma, Non-Hodgkin/pathology , Male , Middle Aged , Monte Carlo Method , Radiometry , Radiotherapy Dosage , Radiotherapy Planning, Computer-Assisted , Tomography, Emission-Computed, Single-Photon , Tomography, X-Ray Computed , Tumor Burden
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