Quantitative CT analysis of pulmonary ground-glass opacity nodules for distinguishing invasive adenocarcinoma from non-invasive or minimally invasive adenocarcinoma: the added value of using iodine mapping

Objectives To determine whether quantitative analysis of iodine-enhanced images generated from dual-energy CT (DECT) have added value in distinguishing invasive adenocarcinoma from non-invasive or minimally invasive adenocarcinoma (MIA) showing ground-glass nodule (GGN). Methods Thirty-four patients...

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Veröffentlicht in:European radiology 2016-01, Vol.26 (1), p.43-54
Hauptverfasser: Son, Ji Ye, Lee, Ho Yun, Kim, Jae-Hun, Han, Joungho, Jeong, Ji Yun, Lee, Kyung Soo, Kwon, O. Jung, Shim, Young Mog
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Sprache:eng
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Zusammenfassung:Objectives To determine whether quantitative analysis of iodine-enhanced images generated from dual-energy CT (DECT) have added value in distinguishing invasive adenocarcinoma from non-invasive or minimally invasive adenocarcinoma (MIA) showing ground-glass nodule (GGN). Methods Thirty-four patients with 39 GGNs were enrolled in this prospective study and underwent DECT followed by complete tumour resection. Various quantitative imaging parameters were assessed, including virtual non-contrast (VNC) imaging and iodine-enhanced imaging. Results Of all 39 GGNs, four were adenocarcinoma in situ (AIS) (10 %), nine were MIA (23 %), and 26 were invasive adenocarcinoma (67 %). When assessing only VNC imaging, multivariate analysis revealed that mass, uniformity, and size-zone variability were independent predictors of invasive adenocarcinoma (odds ratio [OR] = 19.92, P  = 0.02; OR = 0.70, P  = 0.01; OR = 16.16, P  = 0.04, respectively). After assessing iodine-enhanced imaging with VNC imaging, both mass on the VNC imaging and uniformity on the iodine-enhanced imaging were independent predictors of invasive adenocarcinoma (OR = 5.51, P  = 0.04 and OR = 0.67, P  
ISSN:0938-7994
1432-1084
DOI:10.1007/s00330-015-3816-y