PET-CT and diagnostic CT: the synergy of metabolic and morphological data in onco-haematology.
Diagn Interv Imaging
; 95(1): 55-62, 2014 Jan.
Article
en En
| MEDLINE
| ID: mdl-24012287
ABSTRACT
PURPOSE:
Our goal was to determine how interpreting diagnostic CT together with PET-CT could improve the assessment of morphology in onco-haematology. PATIENTS ANDMETHODS:
Fifty-nine patients with aggressive lymphoma were retrospectively included. The diagnostic CT scan was interpreted by two radiologists, followed by a combined analysis of the CT and the PET-CT carried out by two specialists in metabolic and morphological imaging. The diagnostic performances were assessed in terms of sensitivity and specificity, then concordance and discordance rates (kappa) were studied.RESULTS:
A combined interpretation of CT and PET-CT showed better diagnostic performances than those of interpretations of CT only in the assessment of nodal sites (826 sites, sensitivity of 99% versus 85%, P<0.05), extranodal sites (649 sites, sensitivity of 88% versus 78%) and bone sites (one analysed per patient, sensitivity of 50% versus 27%). The combined interpretation also improved inter-observer agreement and led to an upgraded Ann Arbor staging in 15% of patients, with a change of treatment in 10%.CONCLUSION:
Interpretation of diagnostic CT in onco-haematology can be improved by combining it with an assessment of PET-CT. The synergy between metabolic and morphological information leads to improved diagnostic capabilities and renders interpretations more reproducible.Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Enfermedad de Hodgkin
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Interpretación de Imagen Asistida por Computador
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Aumento de la Imagen
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Tomografía Computarizada por Rayos X
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Linfoma Folicular
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Linfoma de Células B Grandes Difuso
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Tomografía de Emisión de Positrones
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Metabolismo Energético
Tipo de estudio:
Diagnostic_studies
/
Observational_studies
Límite:
Adolescent
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Adult
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Aged
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Female
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Humans
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Male
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Middle aged
Idioma:
En
Revista:
Diagn Interv Imaging
Año:
2014
Tipo del documento:
Article