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MRI-based radiomics model for preoperative prediction of 5-year survival in patients with hepatocellular carcinoma.

Published on Jan 15, 2020in British Journal of Cancer5.416
· DOI :10.1038/s41416-019-0706-0
Xiao-Hang Wang (PKU: Peking University), Liu-Hua Long (PKU: Peking University)+ 7 AuthorsWeihu Wang2
Estimated H-index: 2
(PKU: Peking University)
Abstract
Recurrence is the major cause of mortality in patients with resected HCC. However, without a standard approach to evaluate prognosis, it is difficult to select candidates for additional therapy. A total of 201 patients with HCC who were followed up for at least 5 years after curative hepatectomy were enrolled in this retrospective, multicentre study. A total of 3144 radiomics features were extracted from preoperative MRI. The random forest method was used for radiomics signature building, and five-fold cross-validation was applied. A radiomics model incorporating the radiomics signature and clinical risk factors was developed. Patients were divided into survivor (n = 97) and non-survivor (n = 104) groups based on the 5-year survival after surgery. The 30 most survival-related radiomics features were selected for the radiomics signature. Preoperative AFP and AST were integrated into the model as independent clinical risk factors. The model demonstrated good calibration and satisfactory discrimination, with a mean AUC of 0.9804 and 0.7578 in the training and validation sets, respectively. This radiomics model is a valid method to predict 5-year survival in patients with HCC and may be used to identify patients for clinical trials of perioperative therapies and for additional surveillance.
  • References (44)
  • Citations (1)
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References44
Newest
#1Zhen Zhang (Sichuan University)H-Index: 1
#2Hanyu Jiang (Sichuan University)H-Index: 4
Last. Bin Song (Sichuan University)H-Index: 4
view all 9 authors...
This study was performed to prospectively develop and validate a radiomics nomogram for predicting postoperative early recurrence (≤1 year) of hepatocellular carcinoma (HCC) using whole-lesion radiomics features on preoperative gadoxetic acid-enhanced magnetic resonance (MR) images. In total, 155 patients (training cohort: n = 108; validation cohort: n = 47) with surgically confirmed HCC were enrolled in this IRB-approved prospective study. Three-dimensional whole-lesion regions of interest were...
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#1Dong-Hui Guo (Tianjin Medical University)H-Index: 1
#2Dongsheng Gu (CAS: Chinese Academy of Sciences)H-Index: 4
Last. Hong ZhengH-Index: 1
view all 13 authors...
Abstract Objectives To assess whether radiomics signature can identify aggressive behavior and predict recurrence of hepatocellular carcinoma (HCC) after liver transplantation. Methods Our study consisted of a training dataset (n = 93) and a validation dataset (40) with clinically confirmed HCC after liver transplantation from October 2011 to December 2016. Radiomics features were extracted by delineating regions-of-interest (ROIs) around the lesion in four phases of CT images. A radiomics signa...
1 CitationsSource
#1Sung-Won Kim (Yonsei University)H-Index: 23
#2Jaeseung Shin (Yonsei University)H-Index: 2
Last. Jin-Young Choi (Yonsei University)H-Index: 42
view all 6 authors...
Purpose: To evaluate the usefulness of the radiomic model in predicting early (≤2 years) and late (>2 years) recurrence after curative resection in cases involving a single hepatocellular carcinoma (HCC) 2–5 cm in diameter using preoperative gadoxetic acid–enhanced magnetic resonance imaging (MRI), in comparison with the clinicopathologic model. Experimental Design: This retrospective study included 167 patients with surgically resected and pathologically confirmed single HCC 2–5 cm in diameter ...
4 CitationsSource
#1Minghui Wu (Zhengzhou University)H-Index: 2
#2Hongna Tan (Zhengzhou University)H-Index: 2
Last. Dapeng Shi (Zhengzhou University)H-Index: 14
view all 10 authors...
Purpose This study was conducted in order to investigate the value of magnetic resonance imaging (MRI)-based radiomics signatures for the preoperative prediction of hepatocellular carcinoma (HCC) grade.
9 CitationsSource
#1Xun Xu (Nanjing Medical University)H-Index: 3
#2Hai-Long Zhang (Nanjing Medical University)H-Index: 1
Last. Xi-Sheng Liu (Nanjing Medical University)H-Index: 7
view all 10 authors...
Background & Aims Microvascular invasion (MVI) impairs surgical outcomes in patients with hepatocellular carcinoma (HCC). As there is no single highly reliable factor to preoperatively predict MVI, we developed a computational approach integrating large-scale clinical and imaging modalities, especially radiomic features from contrast-enhanced CT, to predict MVI and clinical outcomes in patients with HCC. Methods In total, 495 surgically resected patients were retrospectively included. MVI-relate...
3 CitationsSource
#1Richard Ha (CUMC: Columbia University Medical Center)H-Index: 9
#2Peter Chang (CUMC: Columbia University Medical Center)H-Index: 9
Last. Sachin Jambawalikar (CUMC: Columbia University Medical Center)H-Index: 7
view all 9 authors...
4 CitationsSource
#1Laura Kulik (NU: Northwestern University)H-Index: 48
#2Hashem B. El-Serag (BCM: Baylor College of Medicine)H-Index: 101
The major risk factors for hepatocellular carcinoma (HCC) in contemporary clinical practice are becoming increasingly related to sustained virological response after hepatitis C, suppressed hepatitis B virus during treatment, and alcoholic and nonalcoholic fatty liver disease. We review the emerging data on the risk and determinants of HCC in these conditions and the implications of HCC surveillance. However, from a public health perspective, active hepatitis C and B continue to drive most of th...
31 CitationsSource
#1T.C.H. Hui (TTSH: Tan Tock Seng Hospital)H-Index: 2
#2T.K. Chuah (Ngee Ann Polytechnic)H-Index: 1
Last. C.H. Tan (NTU: Nanyang Technological University)H-Index: 1
view all 4 authors...
Aim To investigate the feasibility of using texture analysis in preoperative magnetic resonance imaging (MRI) to predict early recurrence (ER) in hepatocellular carcinoma (HCC) post-curative surgery. Material and methods Institutional review board was obtained. A retrospective review of all patients who underwent hepatectomy between 1 January 2007 and 31 December 2015 was performed. Inclusion criteria included preoperative MRI, tumour size ≥1 cm, new cases of HCC. Exclusion criteria included los...
2 CitationsSource
#1Hiroyuki Akai (UTokyo: University of Tokyo)H-Index: 15
#2Koichiro Yasaka (UTokyo: University of Tokyo)H-Index: 10
Last. Shigeru Kiryu (International University of Health and Welfare)H-Index: 21
view all 10 authors...
Abstract Rationale and objectives To investigate the impact of random survival forest (RSF) classifier trained by radiomics features over the prediction of the overall survival of patients with resectable hepatocellular carcinoma (HCC). Materials and methods The dynamic computed tomography data of 127 patients (97 men, 30 women; mean age, 68 years) newly diagnosed with resectable HCC were retrospectively analyzed. After manually setting the region of interest to include the tumor within the slic...
7 CitationsSource
#1Jie PengH-Index: 1
#4Jing ZhangH-Index: 1
Last. Li LiuH-Index: 1
view all 6 authors...
15 CitationsSource
Cited By1
Newest
#1Ken Miles (UCLH: University College Hospital)H-Index: 1
Radiomics is well placed to make clinically effective and cost-effective contributions to cancer care as a decision-making tool for personalised medicine. However, a systematic evaluative framework needs to be established so that these benefits can be demonstrated with confidence.
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