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1.
NMR Biomed ; 22(6): 593-600, 2009 Jul.
Artículo en Inglés | MEDLINE | ID: mdl-19259992

RESUMEN

Colorectal cancer is one of the most common cancers in the western world. Its early detection has been found to improve the prognosis of the patient, providing a wide window of opportunity for successful therapeutic interventions. However, current diagnostic techniques all have some limitations; there is a need to develop a better technique for routine screening purposes. We present a new methodology based on magnetic resonance spectroscopy of fecal extracts for the non-invasive detection of colorectal cancer. Five hundred twenty-three human subjects (412 with no colonic neoplasia and 111 with colorectal cancer, who were scheduled for colonoscopy or surgery) were recruited to donate a single sample of stool. One-dimensional (1)H magnetic resonance spectroscopy (MRS) experiments were performed on the supernatant of aqueous dispersions of the stool samples. Using a statistical classification strategy, several multivariate classifiers were developed. Applying the preprocessing, feature selection and classifier development stages of the Statistical Classification Strategy led to approximately 87% average balanced sensitivity and specificity for both training and monitoring sets, improving to approximately 92% when only crisp results, i.e. class assignment probabilities > or =75%, are considered. These results indicate that (1)H magnetic resonance spectroscopy of human fecal extracts, combined with appropriate data analysis methodology, has the potential to detect colorectal neoplasia accurately and reliably, and could be a useful addition to the current screening tools.


Asunto(s)
Biomarcadores de Tumor/análisis , Neoplasias Colorrectales/diagnóstico , Heces/química , Resonancia Magnética Nuclear Biomolecular , Algoritmos , Neoplasias Colorrectales/química , Neoplasias Colorrectales/patología , Humanos , Resonancia Magnética Nuclear Biomolecular/instrumentación , Resonancia Magnética Nuclear Biomolecular/métodos , Pronóstico , Reproducibilidad de los Resultados , Sensibilidad y Especificidad
2.
Acta Radiol ; 49(8): 855-62, 2008 Oct.
Artículo en Inglés | MEDLINE | ID: mdl-18608012

RESUMEN

BACKGROUND: Early detection of cholangiocarcinoma (CC) is very difficult, especially in patients with primary sclerosing cholangitis (PSC) who are at increased risk of developing CC. PURPOSE: To evaluate 1H magnetic resonance spectroscopy ((1)H-MRS) of bile as a diagnostic marker for CC in patients with and without PSC. MATERIAL AND METHODS: The institutional review board approved the study, and all patients gave informed consent. Bile from 49 patients was sampled and investigated using 1H-MRS. MR spectra of bile samples from 45 patients (18 female; age range 22-87 years, mean age 57 years) were analyzed both conventionally and using computerized multivariate analysis. Sixteen of the patients had CC, 18 had PSC, and 11 had other benign findings. RESULTS: The spectra of bile from CC patients differed from the benign group in the levels of phosphatidylcholine, bile acids, lipid, and cholesterol. It was possible to distinguish CC from benign conditions in all patients with malignancy. Two benign non-PSC patients were misclassified as malignant. The sensitivity, specificity, and accuracy were 88.9%, 87.1%, and 87.8%, respectively. CONCLUSION: With 1H-MRS of bile, cholangiocarcinoma could be discriminated from benign biliary conditions with or without PSC.


Asunto(s)
Neoplasias de los Conductos Biliares/diagnóstico , Conductos Biliares Intrahepáticos , Bilis/química , Colangiocarcinoma/diagnóstico , Colangitis Esclerosante/complicaciones , Espectroscopía de Resonancia Magnética/métodos , Adulto , Anciano , Anciano de 80 o más Años , Ácidos y Sales Biliares/análisis , Conductos Biliares Intrahepáticos/patología , Biomarcadores de Tumor/análisis , Colesterol/análisis , Diagnóstico Diferencial , Femenino , Humanos , Lípidos/análisis , Masculino , Persona de Mediana Edad , Análisis Multivariante , Fosfatidilcolinas/análisis , Reproducibilidad de los Resultados , Sensibilidad y Especificidad
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