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1.
Int J Gynecol Pathol ; 27(2): 191-8, 2008 Apr.
Artículo en Inglés | MEDLINE | ID: mdl-18317224

RESUMEN

The objective of this study was to determine whether syntactic structure analysis (SSA) can predict survival outcome and chemotherapeutic response in ovarian carcinoma. Syntactic structure analysis parameters, blindly determined in archived hematoxylin and eosin sections of 132, International Federation of Gynecology and Obstetrics (FIGO) stage I to IV serous ovarian tumors, and clinicopathologic parameters were evaluated as to their univariate and multivariate prognostic value and ability to predict chemotherapy response as measured by changes in CA125 levels. Univariate analysis revealed FIGO stage, tumor grade, preoperative CA125, presence of ascites, extent of disease residuum, and the SSA parameters minimum spanning tree (min MST), maximum MST (max MST), percent connectivity to 1, and 2 nearest neighbors to be significant predictors of overall survival and disease-free survival. Tumor grade, FIGO stage, extent of disease residuum, presence of ascites, and percent connectivity to 2 nearest neighbors were found to be significant predictors of chemotherapy response. Multivariate analysis revealed extent of disease residuum to be a significant predictor for overall survival (P

Asunto(s)
Modelos Teóricos , Neoplasias Quísticas, Mucinosas y Serosas/diagnóstico , Neoplasias Quísticas, Mucinosas y Serosas/patología , Neoplasias Ováricas/diagnóstico , Neoplasias Ováricas/patología , Adulto , Anciano , Anciano de 80 o más Años , Antineoplásicos/uso terapéutico , Femenino , Humanos , Persona de Mediana Edad , Análisis Multivariante , Estadificación de Neoplasias , Neoplasias Quísticas, Mucinosas y Serosas/tratamiento farmacológico , Variaciones Dependientes del Observador , Neoplasias Ováricas/tratamiento farmacológico , Valor Predictivo de las Pruebas , Pronóstico , Reproducibilidad de los Resultados , Estudios Retrospectivos , Análisis de Supervivencia
2.
Int J Radiat Oncol Biol Phys ; 99(3): 627-633, 2017 11 01.
Artículo en Inglés | MEDLINE | ID: mdl-28843374

RESUMEN

PURPOSE: Total skin electron beam radiation therapy (TSEB) is a very effective treatment of mycosis fungoides. Following reports of similar durations of response to lower doses of TSEB, a low-dose schedule of TSEB was introduced in the United Kingdom. METHODS AND MATERIALS: A protocol of 12 Gy in 8 fractions over a period of 2 weeks was agreed on by use of the Stanford University technique. Data were collected prospectively, and the results were analyzed according to the European Organisation for Research and Treatment of Cancer-International Society for Cutaneous Lymphomas endpoints (EORTC-ISCL). Toxicity was scored according to CTCAE v4.0 (Common Terminology Criteria for Adverse Events version 4.0). RESULTS: One hundred three patients received treatment, with a median follow-up period of 20.6 months (range, 3.3-53 months). Of these patients, 54 had stage IB disease, 33 had stage IIB, 12 had stage III, and 4 had stage IV. The median age was 68 years (range, 26-91 years). The complete response rate was 18%, the partial response rate was 69%, stable disease was present in 8%, and progression on treatment was found in 5%. In the patients who had a complete response, the median time to relapse was 7.3 months. The median response duration was 11.8 months. Median progression-free survival for all patients was 13.2 months. It was significantly longer, at 26.5 months, in patients with stage IB disease compared with 11.3 months in patients with stage IIB (P=.003; hazard ratio, 2.66) and 10.2 months in patients with stage III (P=.002; hazard ratio, 4.62). The treatment was well tolerated with lower toxicity than higher-dose schedules. CONCLUSIONS: The low-dose TSEB schedule of 12 Gy in 8 fractions over a period of 2 weeks is well tolerated and is an effective option for patients with mycosis fungoides.


Asunto(s)
Micosis Fungoide/radioterapia , Neoplasias Cutáneas/radioterapia , Adulto , Anciano , Anciano de 80 o más Años , Fraccionamiento de la Dosis de Radiación , Femenino , Humanos , Masculino , Persona de Mediana Edad , Micosis Fungoide/mortalidad , Micosis Fungoide/patología , Estadificación de Neoplasias , Estudios Prospectivos , Neoplasias Cutáneas/mortalidad , Neoplasias Cutáneas/patología , Tasa de Supervivencia
3.
Int J Gynecol Pathol ; 26(4): 395-403, 2007 Oct.
Artículo en Inglés | MEDLINE | ID: mdl-17885489

RESUMEN

The study objective was to determine whether tumor vascularity correlates with patient survival, to compare newer semiautomated methods of angiogenesis assessment to older methods, and to determine if advanced image analysis methods can offer useful patient outcome data in serous ovarian cancer. Using the specific endothelial marker CD34, microvessel determinations were quantified in 132 serous ovarian tumors by manual counting at final magnifications of x 200 and x 400 in the most highly vascular areas. Computer-assisted image analysis microvessel counts, endothelial area estimates, and minimum spanning tree (MST) analysis of capillary architecture, which involves assessment of intercapillary distances, were correlated with traditional manual techniques.Manual, semiautomated, and advanced image analysis methods were found to be highly reproducible and express strong correlation with one another. Univariate cyclooxygenase analysis revealed angiogenesis parameters to be highly significant predictors for overall survival (OS) and disease-free survival. Multivariate cyclooxygenase analysis revealed maximum MST (P = 0.009), length MST (P = 0.005), 1 nearest neighbor (P

Asunto(s)
Cistadenocarcinoma Seroso/irrigación sanguínea , Cistadenocarcinoma Seroso/patología , Neovascularización Patológica/patología , Neoplasias Ováricas/irrigación sanguínea , Neoplasias Ováricas/patología , Anciano , Antígenos CD34/metabolismo , Cistadenocarcinoma Seroso/mortalidad , Femenino , Humanos , Procesamiento de Imagen Asistido por Computador , Inmunohistoquímica , Persona de Mediana Edad , Neovascularización Patológica/metabolismo , Neoplasias Ováricas/mortalidad , Pronóstico , Análisis de Supervivencia
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