Implementation and Performance of Automated Software for Computing Right-to-Left Ventricular Diameter Ratio From Computed Tomography Pulmonary Angiography Images.
J Comput Assist Tomogr
; 40(3): 387-92, 2016.
Article
en En
| MEDLINE
| ID: mdl-26938697
OBJECTIVE: The aim of this study was to prospectively test the performance and potential for clinical integration of software that automatically calculates the right-to-left ventricular (RV/LV) diameter ratio from computed tomography pulmonary angiography images. METHODS: Using 115 computed tomography pulmonary angiography images that were positive for acute pulmonary embolism, we prospectively evaluated RV/LV ratio measurements that were obtained as follows: (1) completely manual measurement (reference standard), (2) completely automated measurement using the software, and (3 and 4) using a customized software interface that allowed 2 independent radiologists to manually adjust the automatically positioned calipers. RESULTS: Automated measurements underestimated (P < 0.001) the reference standard (1.09 [0.25] vs1.03 [0.35]). With manual correction of the automatically positioned calipers, the mean ratio became closer to the reference standard (1.06 [0.29] by read 1 and 1.07 [0.30] by read 2), and the correlation improved (r = 0.675 to 0.872 and 0.887). The mean time required for manual adjustment (37 [20] seconds) was significantly less than the time required to perform measurements entirely manually (100 [23] seconds). CONCLUSIONS: Automated CT RV/LV diameter ratio software shows promise for integration into the clinical workflow for patients with acute pulmonary embolism.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Arteria Pulmonar
/
Embolia Pulmonar
/
Programas Informáticos
/
Reconocimiento de Normas Patrones Automatizadas
/
Angiografía por Tomografía Computarizada
/
Ventrículos Cardíacos
Tipo de estudio:
Diagnostic_studies
/
Evaluation_studies
/
Guideline
Límite:
Humans
/
Middle aged
Idioma:
En
Revista:
J Comput Assist Tomogr
Año:
2016
Tipo del documento:
Article
Pais de publicación:
Estados Unidos