Caglar Veli, Songur Ahmet, Yagmurca Murat, Acar Murat, Toktas Muhsin, Gonul Yucel
Department of Anatomy, Faculty of Medicine, Namık Kemal University, 59100, Tekirdag, Turkey.
Surg Radiol Anat. 2012 Dec;34(10):935-41. doi: 10.1007/s00276-012-0988-x. Epub 2012 Jun 9.
(1) To explore age-related changes in the volume of the pancreas on computed tomography (CT) images calculated by the method of Cavalieri. (2) To investigate the relationship between these changes and body mass index (BMI), gender, abdominal diameter, abdominal skinfold thickness.
We retrospectively reviewed abdominal CT examinations of 272 adults between the ages of 20-88 years. There were seven groups of patients, with 40 patients (only ninth decade has 32 patients) for each decade.
Pancreatic volume (PV) was found to be 63.68 ± 15.08 cm(3) in females, 71.75 ± 15.99 cm(3) in males (mean value of both groups, 67.71 ± 16.03 cm(3)). Maximum value of PV was found in the fourth decade in females, males and also for mean of both groups (73.50, 84.21 and 78.85 cm(3), respectively). PV remained constant until ~60 years of age. Thereafter, it gradually decreased in both genders. There was a negative correlation between PV and age (p < 0.001, r: -0.473). We found positive correlation between PV and BMI, sagittal abdominal diameter (SAD), transverse abdominal diameter (TAD), anterior subcutaneous adipose tissue thicknesses (ASAT), posterior subcutaneous adipose tissue thicknesses (PSAT), bilateral subcutaneous adipose tissue thicknesses (BSAT).
Quantitative data may allow clinicians to better estimate age-related PV changes and help them in decision making.
（1）通过卡瓦列里方法计算计算机断层扫描（CT）图像上胰腺的体积，探讨其与年龄相关的变化。（2）研究这些变化与体重指数（BMI）、性别、腹径、腹部皮褶厚度之间的关系。
我们回顾性分析了272例年龄在20 - 88岁之间成年人的腹部CT检查结果。共有七组患者，每个十年一组，每组40例患者（仅第九个十年为32例）。
女性胰腺体积（PV）为63.68±15.08 cm³，男性为71.75±15.99 cm³（两组平均值为67.71±16.03 cm³）。女性、男性以及两组平均值的PV最大值均出现在第四个十年（分别为73.50、84.21和78.85 cm³）。PV在60岁左右之前保持恒定。此后，两性的PV均逐渐下降。PV与年龄呈负相关（p < 0.001，r：-0.473）。我们发现PV与BMI、矢状腹径（SAD）、横腹径（TAD）、前皮下脂肪组织厚度（ASAT）、后皮下脂肪组织厚度（PSAT）、双侧皮下脂肪组织厚度（BSAT）呈正相关。
定量数据可使临床医生更好地估计与年龄相关的PV变化，并有助于他们做出决策。
