Pshak T J, Cho D S, Hayes K L, Vemulakonda V M
Division of Urology, Department of Surgery, University of Colorado Anschutz Medical Campus, 12631 East 17th Ave., M/S C-319, Aurora, CO 80045, USA.
Division of Urology, Department of Surgery, University of Colorado Anschutz Medical Campus, 12631 East 17th Ave., M/S C-319, Aurora, CO 80045, USA.
J Pediatr Urol. 2014 Feb;10(1):148-54. doi: 10.1016/j.jpurol.2013.08.001. Epub 2013 Sep 12.
To evaluate the relationship of Wilms' tumor (WT) volume to weight, and evaluate computed tomography (CT) scan-derived final pathologic specimen weight estimation models.
We retrospectively reviewed WT patients from 2003 to 2011 who had a pre-operative CT scan, final pathologic specimen weight, and tumor dimensions. A partial nephrectomy tumor cohort (n = 12) was used derive WT density. A radical nephrectomy cohort (n = 45) was used to develop a simplified estimation equation of final pathologic specimen weight, and analysis of all known estimation models was performed.
Fifty-two patients were identified. WT volume and weight were not equivalent (p = 0.0410). WT density was 1.3091 g/cm(3). WT volume and final pathologic specimen weight were not significant (p = 0.0007). Our model (p = 0.9983) and CT estimated ellipsoidal volume (p = 0.0741) were able to estimate final pathologic specimen weight in all tumors. However, CT-estimated ellipsoidal volume failed to estimate final pathologic specimen weight in specimens < 250 g (p = 0.0066).
Pathologic WT volume is not equivalent to final pathologic specimen weight. Final pathologic specimen weight can be estimated from a pre-operative CT scan, which suggests that it may be used to improve pre-operative surgical planning and to reduce treatment morbidity.
评估肾母细胞瘤（WT）体积与重量的关系，并评估计算机断层扫描（CT）扫描得出的最终病理标本重量估计模型。
我们回顾性分析了2003年至2011年期间接受术前CT扫描、有最终病理标本重量及肿瘤尺寸的WT患者。使用部分肾切除术肿瘤队列（n = 12）得出WT密度。使用根治性肾切除术队列（n = 45）建立最终病理标本重量的简化估计方程，并对所有已知估计模型进行分析。
共纳入52例患者。WT体积与重量不相等（p = 0.0410）。WT密度为1.3091 g/cm³。WT体积与最终病理标本重量无显著相关性（p = 0.0007）。我们的模型（p = 0.9983）和CT估计的椭球体体积（p = 0.0741）能够估计所有肿瘤的最终病理标本重量。然而，CT估计的椭球体体积无法估计重量<250 g标本的最终病理标本重量（p = 0.
