Multi-organ Radiomics-Based Prediction of Future Remnant Liver Hypertrophy Following Portal Vein Embolization

被引:5
|
作者
Gerwing, Mirjam [1 ]
Schindler, Philipp [1 ]
Katou, Shadi [2 ]
Koehler, Michael [1 ]
Stamm, Anna Christina [1 ]
Schmidt, Vanessa Franziska [3 ]
Heindel, Walter [1 ]
Struecker, Benjamin [2 ]
Morgul, Haluk [2 ]
Pascher, Andreas [2 ]
Wildgruber, Moritz [1 ,3 ]
Masthoff, Max [1 ]
机构
[1] Univ Hosp Munster, Clin Radiol, Munster, Germany
[2] Univ Hosp Munster, Dept Gen Visceral & Transplant Surg, Munster, Germany
[3] Ludwig Maximilians Univ Munchen, Univ Hosp, Dept Radiol, Munich, Germany
关键词
Radiomics; Future remnant liver hypertrophy; Portal vein embolization; Outcome prediction; MAJOR HEPATECTOMY; HEPATOCELLULAR-CARCINOMA; NEOADJUVANT CHEMOTHERAPY; REGENERATION; RESECTABILITY; CIRRHOSIS; RESECTION; NOMOGRAM; SEGMENTS; FAILURE;
D O I
10.1245/s10434-023-14241-5
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
BackgroundPortal vein embolization (PVE) is used to induce remnant liver hypertrophy prior to major hepatectomy. The purpose of this study was to evaluate the predictive value of baseline computed tomography (CT) data for future remnant liver (FRL) hypertrophy after PVE.MethodsIn this retrospective study, all consecutive patients undergoing right-sided PVE with or without hepatic vein embolization between 2018 and 2021 were included. CT volumetry was performed before and after PVE to assess standardized FRL volume (sFRLV). Radiomic features were extracted from baseline CT after segmenting liver (without tumor), spleen and bone marrow. For selecting features that allow classification of response (hypertrophy & GE; 1.33), a stepwise dimension reduction was performed. Logistic regression models were fitted and selected features were tested for their predictive value. Decision curve analysis was performed on the test dataset.ResultsA total of 53 patients with liver tumor were included in this study. sFRLV increased significantly after PVE, with a mean hypertrophy of FRL of 1.5 & PLUSMN; 0.3-fold. sFRLV hypertrophy & GE; 1.33 was reached in 35 (66%) patients. Three independent radiomic features, i.e. liver-, spleen- and bone marrow-associated, differentiated well between responders and non-responders. A logistic regression model revealed the highest accuracy (area under the curve 0.875) for the prediction of response, with sensitivity of 1.0 and specificity of 0.5. Decision curve analysis revealed a positive net benefit when applying the model.ConclusionsThis proof-of-concept study provides first evidence of a potential predictive value of baseline multi-organ radiomics CT data for FRL hypertrophy after PVE.
引用
收藏
页码:7976 / 7985
页数:10
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