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1.
Rev. chil. enferm. respir ; 35(2): 116-123, jun. 2019. tab, graf
Article in Spanish | LILACS | ID: biblio-1020627

ABSTRACT

OBJETIVO: Determinar el rendimiento diagnóstico del PET/CT en el estudio de nódulo pulmonar (NP) utilizando SUVmax. MÉTODO: Se revisó la base de datos de PET/CT, seleccionando aquellos solicitados para estudio de NP sólido. Se incluyeron sólo aquellos NP confirmados como malignos o benignos. Se excluyó NP subsólidos, masas pulmonares (> 3 cm), y pacientes con metástasis conocidas. Se midió SUVmax de las lesiones, determinando mejores valores de corte para malignidad y benignidad. RESULTADOS: De los 140 NP estudiados, el 60% (84/140) fueron confirmados como malignos y el 40% como benignos (100% y 59,6% de confirmación histológica, respectivamente). Un SUVmax ≤ 1,0 mostró sensibilidad 98,8%, valor predictivo negativo (VPN) 96,2%, y Likelihood ratio negativo (LR -) 0,027. Un SUVmax ≤ 2,5 no fue capaz de asegurar razonablemente benignidad con VPN 69,4%, y LR - 0,295. Valores de SUV > 2,5 y 5,0 se asociaron a malignidad en 83% y 93% de los casos, respectivamente (LR+ 3,333 y 8,889). CONCLUSIÓN: El PET/CT presenta alto rendimiento diagnóstico en estimar la naturaleza de un NP Un valor de SUVmax ≤ 1 es altamente predictivo de benignidad, y un valor de SUVmax ≥ 2,5 de malignidad. Valores entre 1,0 y 2,5 no permiten caracterizar eficientemente los NP.


AIM: To establish the diagnostic accuracy of PET/CT in study of solid lung nodule (LN) using SUVmax index. METHOD: We revised PET/CT data base, selecting those scans asked to evaluate a solid LN. Only confirmed malign o benign LN were included. Subsolid LN, lung masses (> 3 cm), and known or suspected lung metastases were excluded. SUVmax was measured in each LN, and best cutoff for malignant and benign lesion was calculated. RESULTS: Of the whole group of 140 LN, 60% were confirmed as malignant, and 40% as benign (100% and 59,6% of histological confirmation, respectively). SUVmax ≤ 1,0 showed sensibility of 98,8%, negative predictive value (NPV) of 96,2%, and negative likelihood ratio (LR —) of 0,027. SUVmax ≤ 2,5 was not able to guarantee reasonably benign nature of LN, showing NPV of 69,4% and LR - of 0,295. SUVmax > 2,5 and > 5,0 was associated to malign lesion in 83% and 93% of cases, respectively (LR + of 3,333 and 8,889). CONCLUSION: PET/CT shows high accuracy estimating the nature of solid LN. SUVmax ≤ 1,0 is highly predictive of benignity, and SUVmax ≥ 2,5 is highly predictive of malignancy. SUVmax values between 1,0 and 2,5 were not able to characterize efficiently LN.


Subject(s)
Humans , Male , Female , Adult , Middle Aged , Aged , Aged, 80 and over , Young Adult , Solitary Pulmonary Nodule/diagnostic imaging , Positron Emission Tomography Computed Tomography/methods , Lung Neoplasms/diagnostic imaging , Predictive Value of Tests , Sensitivity and Specificity , Solitary Pulmonary Nodule/pathology , Lung Neoplasms/pathology
2.
Rev. chil. radiol ; 13(1): 9-11, 2007. ilus, tab
Article in Spanish | LILACS | ID: lil-627504

ABSTRACT

Abstract: The development of the US and CT has increased the request of exams to confirm or to discard the diagnosis of acute abdomen of appendicular origin. The objective of this paper is to characterize the appendix normal findings in helical unenhanced CT. 235 computed CT were reviewed. The average diameter of the appendix was of 6,18mm, with a standard deviation of 1,29mm; air was seen at the appendix lumen in 76% of them. The periappendicular fatty was normal in 98,9% of the patients.


El desarrollo del ultrasonido (US) y tomografía computada (TC) ha aumentado la solicitud de exámenes para confirmar o descartar el diagnóstico de abdomen agudo de origen apendicular. El objetivo del trabajo es caracterizar los hallazgos del apéndice normal en TC helicoidales efectuadas sin contraste. Se revisaron 235 TC. El diámetro promedio del apéndice fue de 6.18 mm con una desviación estándar de 1.29 mm; el 76% de ellos presentaban aire en su interior. En el 98.9% de los pacientes, el tejido adiposo periapendicular fue normal.


Subject(s)
Humans , Appendix/diagnostic imaging , Tomography, X-Ray Computed/methods , Abdomen, Acute/diagnostic imaging , Sensitivity and Specificity
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