Predicting symptomatic post-hepatectomy liver failure in patients with hepatocellular carcinoma. Development and validation of a preoperative nomogram
Creators
- 1. Division of Interventional Ultrasound, Department of Medical Ultrasonics, The First Affiliated Hospital of Sun Yat-Sen University, No.58 Zhong Shan Road 2, 510080, Guangzhou (China)
- 2. Department of Ultrasonography, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-Sen University Cancer Center, 510060, Guangzhou (China)
- 3. Department of Ultrasound, Huashan Hospital, Fudan University. No. 12 Middle Urumqi Road, 200040, Shanghai (China)
- 4. State Key Laboratory of Oncology in South China and Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, 510060, Guangzhou (China)
- 5. Department of Liver Surgery, Sun Yat-Sen University Cancer Center, 510060, Guangzhou (China)
- 6. Department of Pancreaticobiliary Surgery, The First Affiliated Hospital of Sun Yat-Sen University, No.58 Zhong Shan Road 2, 510080, Guangzhou (China)
- 7. Department of Liver Surgery, The First Affiliated Hospital of Sun Yat-Sen University, No.58 Zhong Shan Road 2, 510080, Guangzhou (China)
Description
To develop and validate a nomogram based on liver stiffness (LS) for predicting symptomatic post-hepatectomy (PHLF) in patients with hepatocellular carcinoma (HCC). A total of 266 patients with HCC were enrolled prospectively from three tertiary referral hospitals from August 2018 to April 2021. All patients underwent preoperative laboratory examination to obtain parameters of liver function. Two-dimensional shear wave elastography (2D-SWE) was performed to measure LS. Three-dimensional virtual resection obtained the different volumes including future liver remnant (FLR). A nomogram was developed by using logistic regression and determined by receiver operating characteristic (ROC) curve analysis and calibration curve analysis, which was validated internally and externally. A nomogram was constructed with the following variables: FLR ratio (FLR of total liver volume), LS greater than 9.5 kPa, Child-Pugh grade, and the presence of clinically significant portal hypertension (CSPH). This nomogram enabled differentiation of symptomatic PHLF in the derivation cohort (area under curve [AUC], 0.915), internal fivefold cross-validation (mean AUC, 0.918), internal validation cohort (AUC, 0.876) and external validation cohort (AUC, 0.845). The nomogram also showed good calibration in the derivation, internal validation, and external validation cohorts (Hosmer-Lemeshow goodness-of-fit test, p = 0.641, p = 0.06, and p = 0.127, respectively). Accordingly, the safe limit of the FLR ratio was stratified using the nomogram. An elevated level of LS was associated with the occurrence of symptomatic PHLF in HCC. A preoperative nomogram integrating LS, clinical and volumetric features was useful in predicting postoperative outcomes in patients with HCC, which might help surgeons in the management of HCC resection. A serial of the safe limit of the future liver remnant was proposed by a preoperative nomogram for hepatocellular carcinoma, which might help surgeons in 'how much remnant is enough in liver resection'.
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Additional details
Identifiers
Publishing Information
- Journal Title
- European Radiology (Internet)
- Journal Volume
- 33
- Journal Issue
- 11
- Journal Page Range
- p. 7665-7674
- ISSN
- 1432-1084
- CODEN
- EURAE3
INIS
- Country of Publication
- Germany
- Country of Input or Organization
- Germany
- INIS RN
- 55011886
- Subject category
- S62: RADIOLOGY AND NUCLEAR MEDICINE;
- Descriptors DEI
- CALIBRATION; DATA COMPILATION; FLEXIBILITY; HEPATECTOMY; HEPATOMAS; HOSPITALS; HYPERTENSION; LIVER; NOMOGRAMS; REGRESSION ANALYSIS; THREE-DIMENSIONAL CALCULATIONS; TWO-DIMENSIONAL CALCULATIONS; ULTRASONOGRAPHY; VALIDATION
- Descriptors DEC
- BODY; BUILDINGS; CARCINOMAS; CARDIOVASCULAR DISEASES; DATA; DATA PROCESSING; DIAGNOSTIC TECHNIQUES; DIAGRAMS; DIGESTIVE SYSTEM; DISEASES; GLANDS; INFORMATION; MATHEMATICS; MECHANICAL PROPERTIES; MEDICAL ESTABLISHMENTS; MEDICINE; NEOPLASMS; ORGANS; PROCESSING; STATISTICS; SURGERY; SYMPTOMS; TENSILE PROPERTIES; TESTING; VASCULAR DISEASES