Department of Radiological Sciences, University of Rome Sapienza, Policlinico Umberto I, Viale Regina Elena 324, 00161 Rome, Italy.
Radiol Med. 2010 Aug;115(5):758-70. doi: 10.1007/s11547-010-0538-8. Epub 2010 Feb 19.
The aim of this study was to assess the accuracy of translucency rendering (TR) in computed tomographic (CT) colonography without cathartic preparation using primary 3D reading.
From 350 patients with 482 endoscopically verified polyps, 50 pathologically proven polyps and 50 pseudopolyps were retrospectively examined. For faecal tagging, all patients ingested 140 ml of orally administered iodinated contrast agent (diatrizoate meglumine and diatrizoate sodium) at meals 48 h prior to CT colonography examination and two h prior to scanning. CT colonography was performed using a 64-section CT scanner. Colonoscopy with segmental unblinding was performed within 2 weeks after CT. Three independent radiologists retrospectively evaluated TRCT clonographic images using a dedicated software package (V3D-Colon System). To enable size-dependent statistical analysis, lesions were stratified into the following size categories: small (< or =5 mm), intermediate (6-9 mm), and large (> or =10 mm).
Overall average TR sensitivity for polyp characterisation was 96.6%, and overall average specificity for pseudopolyp characterisation was 91.3%. Overall average diagnostic accuracy (area under the curve) of TR for characterising colonic lesions was 0.97.
TR is an accurate tool that facilitates interpretation of images obtained with a primary 3D analysis, thus enabling easy differentiation of polyps from pseudopolyps.
本研究旨在评估无清肠准备的 CT 结肠成像中，使用初次三维（3D）阅读对透光度渲染（TR）的准确性。
对 350 例经内镜证实的 482 个息肉、50 个病理证实的息肉和 50 个假息肉的患者进行回顾性研究。为进行粪便标记，所有患者在 CT 结肠成像检查前 48 小时和扫描前 2 小时进餐时，口服 140 ml 碘对比剂（泛影葡胺和泛影酸钠）。采用 64 层 CT 扫描仪进行 CT 结肠成像。CT 后 2 周内行结肠镜检查，并进行节段性解盲。3 名独立的放射科医生使用专用软件包（V3D-Colon System）对 TRCT 结肠成像进行回顾性评估。为进行基于病变大小的统计学分析，将病变分为以下大小类别：小（≤5mm）、中（6-9mm）和大（≥10mm）。
总体平均 TR 对息肉特征的敏感度为 96.6%，对假息肉特征的总体平均特异度为 91.3%。TR 对结肠病变特征的总体平均诊断准确性（曲线下面积）为 0.97。
TR 是一种准确的工具，有助于解释初次 3D 分析获得的图像，从而便于区分息肉和假息肉。
