Feng Ling-Mei, Wang Pei-Qin, Yu Hong, Chen Ru-Tan, Wang Jian, Sheng Xia, Yuan Zong-Li, Shi Pei-Mei, Xie Wei-Fen, Zeng Xin
Ling-Mei Feng, Pei-Qin Wang, Jian Wang, Xia Sheng, Zong-Li Yuan, Pei-Mei Shi, Wei-Fen Xie, Xin Zeng, Department of Gastroenterology, Shanghai Changzheng Hospital, Second Military Medical University, Shanghai 200003, China.
World J Gastroenterol. 2017 Jul 21;23(27):4968-4977. doi: 10.3748/wjg.v23.i27.4968.
To obtain a reference range of morphological indices and establish a formula to accurately predict standard liver volume (SLV) in Chinese adults.
Computed tomography (CT)-estimated total liver volume (CTLV) was determined in 369 Chinese adults. Age, sex, body weight, body height, body mass index, and body surface area (BSA) were recorded using CT. Total splenic volume, portal venous diameter (PVD), splenic venous diameter (SVD), and portal venous cross-sectional area (PVCSA) were also measured by CT. Stepwise multiple linear regression analysis was performed to evaluate the impact of each parameter on CTLV and to develop a new SLV formula. The accuracy of the new formula was compared with the existing formulas in a validation group.
The average CTLV was 1205.41 ± 257.53 cm (range, 593.80-2250.10 cm). The average of PVD, SVD and PVCSA was 9.34 ± 1.51 mm, 7.40 ± 1.31 mm and 173.22 ± 48.11 mm, respectively. The CT-estimated splenic volume of healthy adults varied markedly (range, 46.60-2892.30 cm). Sex, age, body height, body weight, body mass index, and BSA were significantly correlated with CTLV. BSA showed the strongest correlation ( = 0.546, < 0.001), and was used to establish a new model for calculating SLV: SLV (cm) = 758.259 × BSA (m)-124.272 (R = 0.299, < 0.001). This formula also predicted CTLV more accurately than the existing formulas, but overestimated CTLV in elderly subjects > 70 years of age, and underestimated liver volume when CTLV was > 1800 cm.
Our new BSA-based formula is more accurate than other formulas in estimating SLV in Chinese adults.
获取形态学指标的参考范围，并建立一个能准确预测中国成年人标准肝脏体积（SLV）的公式。
对369名中国成年人进行计算机断层扫描（CT）估算全肝体积（CTLV）。使用CT记录年龄、性别、体重、身高、体重指数和体表面积（BSA）。还通过CT测量脾总体积、门静脉直径（PVD）、脾静脉直径（SVD）和门静脉横截面积（PVCSA）。进行逐步多元线性回归分析，以评估各参数对CTLV的影响，并制定一个新的SLV公式。在验证组中将新公式的准确性与现有公式进行比较。
平均CTLV为1205.41±257.53 cm（范围为593.80 - 2250.10 cm）。PVD、SVD和PVCSA的平均值分别为9.34±1.51 mm、7.40±1.31 mm和173.22±48.11 mm。健康成年人的CT估算脾体积差异显著（范围为46.60 - 2892.30 cm）。性别、年龄、身高、体重、体重指数和BSA与CTLV显著相关。BSA显示出最强的相关性（r = 0.546，P < 0.001），并用于建立一个计算SLV的新模型：SLV（cm）= 758.259×BSA（m）- 124.272（R = 0.299，P < 0.001）。该公式预测CTLV也比现有公式更准确，但在70岁以上的老年受试者中高估了CTLV，且当CTLV > 1800 cm时低估了肝脏体积。
我们基于BSA的新公式在估算中国成年人的SLV方面比其他公式更准确。
