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1.
Eur J Nucl Med Mol Imaging ; 51(5): 1261-1267, 2024 Apr.
Artículo en Inglés | MEDLINE | ID: mdl-38095672

RESUMEN

PURPOSE: Test the feasibility of an image-based method to identify taxane resistance in mouse bearing triple-negative breast cancer (TNBC) tumor xenografts. METHODS: Xenograft tumor-bearing mice from paclitaxel-sensitive and paclitaxel-resistant TNBC cells (MDA-MD-346) were generated by orthotopic injection into female NOD-SCID mice. When tumors reached 100-150 mm3, mice were scanned using [18F]choline PET/CT. Tumors were collected and sliced for autoradiography and immunofluorescence analysis. Quantitative data was analyzed accordingly. RESULTS: From fifteen mice scanned, five had taxane-sensitive cell line tumors of which two underwent taxol-based treatment. From the remaining 10 mice with taxane-resistant cell line tumors, four underwent taxol-based treatment. Only 13 mice had the tumor sample analyzed histologically. When normalized to the blood pool, both cell lines showed differences in metabolic uptake before and after treatment. CONCLUSIONS: Treated and untreated taxane-sensitive and taxane-resistant cell lines have different metabolic properties that could be leveraged before the start of chemotherapy.


Asunto(s)
Tomografía Computarizada por Tomografía de Emisión de Positrones , Neoplasias de la Mama Triple Negativas , Humanos , Femenino , Animales , Ratones , Tomografía Computarizada por Tomografía de Emisión de Positrones/métodos , Neoplasias de la Mama Triple Negativas/diagnóstico por imagen , Neoplasias de la Mama Triple Negativas/tratamiento farmacológico , Línea Celular Tumoral , Ratones SCID , Ratones Endogámicos NOD , Tomografía de Emisión de Positrones/métodos , Paclitaxel/farmacología , Paclitaxel/uso terapéutico , Modelos Animales , Resistencia a Medicamentos , Ensayos Antitumor por Modelo de Xenoinjerto
2.
Pract Radiat Oncol ; 5(4): e309-15, 2015.
Artículo en Inglés | MEDLINE | ID: mdl-25666990

RESUMEN

PURPOSE: Metal artifacts during computed tomography (CT) hinder the evaluation of diagnostic images and impair the delineation of tumor volume in treatment planning. Several solutions are available to minimize these artifacts. Our objective was to determine the impact of one of those tools on the interreader variability when measuring head and neck structures in the presence of metal artifacts. METHODS AND MATERIALS: Eleven patients were retrospectively selected from an institutional review board-approved study based on the presence of metallic artifacts in the head and neck region. CT raw data were postprocessed using a metal artifact reduction tool. A single matching CT slice from the filtered backprojection and postprocessed data sets was selected in the region of the metal artifact. Areas of selected anatomical structures were measured by independent readers, including an anatomical structure selected from a CT slice with no metal artifact in each patient as control. The intraclass correlation coefficient was calculated. RESULTS: Two extreme outliers were identified and the intraclass correlation coefficient was performed with and without them. The intraclass correlation on filtered backprojection, postprocessed, and control images was 0.903, 0.948, and 0.985 with outliers and 0.884, 0.971, and 0.989 without outliers, respectively, for all readers. On the other hand, the intraclass correlation on filtered backprojection, postprocessed, and control images for experienced readers was 0.904, 0.979, and 0.976 with outliers and 0.934, 0.975, and 0.990 without outliers, respectively. CONCLUSIONS: The interreader variability of areas measured in the presence of metal artifact was greatly decreased by the use of the metal artifact reduction tool and almost matched the variability observed in the absence of the metal artifact.


Asunto(s)
Artefactos , Cabeza/diagnóstico por imagen , Procesamiento de Imagen Asistido por Computador/métodos , Cuello/diagnóstico por imagen , Tomografía Computarizada por Rayos X/métodos , Humanos , Metales , Variaciones Dependientes del Observador , Fantasmas de Imagen , Estudios Retrospectivos , Programas Informáticos , Tomografía Computarizada por Rayos X/instrumentación
3.
Clin Nucl Med ; 39(6): e336-9, 2014 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-23856830

RESUMEN

The potential of brain imaging has grown rapidly with new modalities, hybrid combinations of existing modalities, and novel metabolic tracers. F-florbetapir is an amyloid plaque-binding molecule labeled to F that allows positron imaging of the amyloid deposition in the brain. This protein deposition is known to be one of the features in Alzheimer disease and therefore can be of interest in the differential diagnosis of dementia. We present 2 cases combining the new hybrid imaging modality PET/MRI, which offers molecular and morphological information, with F-florbetapir in the differential diagnosis of dementia.


Asunto(s)
Amiloide/metabolismo , Demencia/diagnóstico por imagen , Imagen por Resonancia Magnética , Tomografía de Emisión de Positrones , Anciano , Enfermedad de Alzheimer/diagnóstico por imagen , Compuestos de Anilina , Diagnóstico Diferencial , Glicoles de Etileno , Humanos , Masculino , Persona de Mediana Edad , Imagen Multimodal
4.
Int J Clin Exp Med ; 7(3): 640-8, 2014.
Artículo en Inglés | MEDLINE | ID: mdl-24753758

RESUMEN

PET/MRI is an evolving hybrid imaging modality which combines the inherent strengths of MRIs soft-tissue and contrast resolution and PETs functional metabolic capabilities. Bone and soft-tissue sarcoma are a relatively rare tumor entity, relying on MRI for local staging and often on PET/CT for lymph node involvement and metastatic spread evaluation. The purpose of this article is to demonstrate the successful use of PET/MRI in two sarcoma patients. We also use these patients as a starting point to discuss how PET/MRI might be of value in sarcoma. Among its potential benefits are: superior TNM staging than either modality alone, decreased radiation dose, more sensitive and specific follow-up and better assessment of treatment response. These potentials need to be investigated in future PET/MRI soft-tissue sarcoma trials.

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