Abstract
Purpose
This study was undertaken to assess the performance of 16-slice computed tomography (MSCT) using Multi-Planar Reformatting (MPR), Maximum Intensity Projection (MIP) and Volume Rendering (VR) reconstructions to study pulmonary metastases.
Materials and methods
CT studies of 32 patients with pulmonary metastases were retrospectively reviewed. Images were assessed for the following parameters: number, size, location, distribution of the nodules and the presence of the “mass-vessel sign”. These parameters were evaluated by two observers on axial-source images and on MPR, MIP and VR reconstructions. Sensitivity of each reconstruction and interobserver agreement were calculated.
Results
Two-dimensional (2D) axial images and MIP and VR reconstructions exhibited 100% sensitivity for lesions >10 mm. For nodules 6–10 mm, sensitivity was 49%–55% for the 2D images, 90% for MIP and 80%–85% for VR reconstructions. For metastasis ≤5 mm, sensitivity was 22% for 2D images, 87%–89% for MIP and 55%–58% for VR reconstructions. Coronal and sagittal MPR, MIP and VR did not improve the detection rate compared with the corresponding axial images. MIP and VR provided overlapping results in detecting the “mass-vessel sign”.
Conclusions
MIP are the most sensitive reconstructions for detecting small pulmonary nodules.
Riassunto
Obiettivo
Valutare le potenzialità della tomografia computerizzata a 16 strati (TCMS) utilizzando le ricostruzioni Multi-Planar Reformatting (MPR), Maximum Intensity Projection (MIP) and Volume Rendering (VR) nello studio delle metastasi polmonari.
Materiali e metodi
È stato eseguito uno studio retrospettivo su 32 pazienti con metastasi polmonari. Sono stati valutati per ogni paziente i seguenti parametri: numero, dimensione, localizzazione, distribuzione dei noduli e presenza del “segno del vaso”. Tali parametri, sono stati analizzati da due osservatori nelle immagini assiali, MPR, MIP e VR. Sono state calcolate sensibilità di ciascuna ricostruzione e concordanza tra i due osservatori.
Risultati
Per lesioni >10 mm le immagini assiali 2D, MIP e VR hanno presentato sensibilità del 100%; per noduli di 6–10 mm le 2D del 49%–55%, le MIP del 90% e le VR dell’80%–85%; per metastasi =5 mm le 2D del 22%, le MIP del 87%–89%, le VR del 55%–58%. Le immagini coronali e sagittali MPR, MIP e VR non hanno fornito alcun incremento diagnostico rispetto alle assiali corrispondenti. Le MIP e le VR sono risultate sovrapponibili nel riconoscimento del “segno del vaso”.
Conclusioni
Le MIP sono le ricostruzioni più sensibili nel riconoscimento dei piccoli noduli polmonari.
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Angelelli, G., Grimaldi, V., Spinelli, F. et al. Multi slice computed tomography in the study of pulmonary metastases. Radiol med 113, 954–967 (2008). https://doi.org/10.1007/s11547-008-0313-z
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DOI: https://doi.org/10.1007/s11547-008-0313-z