Feng LM, Wang PQ, Yu H, Chen RT, Wang J, Sheng X, Yuan ZL, Shi PM, Xie WF, Zeng X. New formula for predicting standard liver volume in Chinese adults. World J Gastroenterol 2017; 23(27): 4968-4977 [PMID: 28785151 DOI: 10.3748/wjg.v23.i27.4968]
Corresponding Author of This Article
Dr. Xin Zeng, Department of Gastroenterology, Shanghai Changzheng Hospital, Second Military Medical University, 415 Fengyang Road, Shanghai 200003, China. zengxinmd1978@163.com
Research Domain of This Article
Radiology, Nuclear Medicine & Medical Imaging
Article-Type of This Article
Prospective Study
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
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
Hong Yu, Ru-Tan Chen, Department of Radiology, Shanghai Changzheng Hospital, Second Military Medical University, Shanghai 200003, China
Author contributions: Feng LM, Wang PQ and Yu H contributed equally to this work; Feng LM collected all the clinical data and determined the morphological indices of computed tomography (CT), analyzed the data, participated in drafting the manuscript and prepared the revised materials; Wang PQ drafted the manuscript and assisted with data analysis; Yu H provided the CT instruments and measurements; Chen RT was involved with drawing the morphological indices of CT; Wang J participated in design of the study; Sheng X, Yuan ZL and Shi PM were involved with data collection; Xie WF helped in design and oversight of the study; Zeng X participated in design and oversight of the study and was involved with drafting of the manuscript.
Institutional review board statement: The study protocol was reviewed and approved by the Institutional Ethics Committee of Shanghai Changzheng Hospital.
Informed consent statement: All study participants, or their legal guardian, provided written consent prior to study enrollment.
Conflict-of-interest statement: The authors of this manuscript have no conflicts of interest to disclose.
Data sharing statement: There is no additional data available.
Open-Access: This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Correspondence to: Dr. Xin Zeng, Department of Gastroenterology, Shanghai Changzheng Hospital, Second Military Medical University, 415 Fengyang Road, Shanghai 200003, China. zengxinmd1978@163.com
Telephone: +86-21-81885346 Fax: +86-21-81886924
Received: December 27, 2016 Peer-review started: December 29, 2016 First decision: March 16, 2017 Revised: April 17, 2017 Accepted: June 9, 2017 Article in press: June 12, 2017 Published online: July 21, 2017 Processing time: 204 Days and 12.1 Hours
Abstract
AIM
To obtain a reference range of morphological indices and establish a formula to accurately predict standard liver volume (SLV) in Chinese adults.
METHODS
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.
RESULTS
The average CTLV was 1205.41 ± 257.53 cm3 (range, 593.80-2250.10 cm3). The average of PVD, SVD and PVCSA was 9.34 ± 1.51 mm, 7.40 ± 1.31 mm and 173.22 ± 48.11 mm2, respectively. The CT-estimated splenic volume of healthy adults varied markedly (range, 46.60-2892.30 cm3). Sex, age, body height, body weight, body mass index, and BSA were significantly correlated with CTLV. BSA showed the strongest correlation (r = 0.546, P < 0.001), and was used to establish a new model for calculating SLV: SLV (cm3) = 758.259 × BSA (m2)-124.272 (R2 = 0.299, P < 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 cm3.
CONCLUSION
Our new BSA-based formula is more accurate than other formulas in estimating SLV in Chinese adults.
Core tip: This was a prospective international phase II trial with 16 patients seeking to evaluate the effect of selenomethionine on acute toxicity in the setting of concurrent chemoradiaiton for locally advanced, inoperable non-small cell lung cancer. Selenium proved to be well tolerated and led to significantly reduced rates of myelosuppression.
