Preoperative MRI features and clinical laboratory indicators for predicting the early therapeutic response of hepatocellular carcinoma to transcatheter arterial chemoembolization combined with High-intensity focused ultrasound treatment

Zhang, Haiping; He, Xiaojing; Yu, Jiayi; Song, Wenlong; Liu, Xin-Jie; Liu, Yangyang; Zhou, Jun; Guo, Dajing

doi:10.1259/bjr.20190073

Cited by 10 publications

(13 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We suggested that the TBIL was an independent risk factor for tumor response. However, several previous studies have demonstrated that the TBIL cannot be used as a clinical risk factor for the estimation of treatment efficacy but could predict survival in HCC patients treated with TACE ( 15 , 25 ). Further research should be conducted on the correlation between the TBIL and treatment efficacy of TACE.…”

Section: Discussionmentioning

confidence: 99%

“…Magnetic resonance imaging (MRI) has been regarded as the preferred imaging modality for screening, early detection, and staging in HCC patients, as well as provides imaging biomarkers for prediction of therapeutic response and prognosis ( 13 ). Several conventional imaging features have been shown to be associated with negative response of patients with HCC: large tumor size, multiple lesions, irregular margin, faint enhancement on arterial phase, and arterial peritumoral enhancement ( 7 , 14 , 15 ). Although radiologists had attempt to standardize interpretation of liver imaging, the assessment of therapeutic response using such qualitative imaging characteristics remains subjective and variable.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Radiomics Analysis Based on Contrast-Enhanced MRI for Prediction of Therapeutic Response to Transarterial Chemoembolization in Hepatocellular Carcinoma

Zhao

Wang

et al. 2021

Front. Oncol.

View full text Add to dashboard Cite

PurposeTo investigate the role of contrast-enhanced magnetic resonance imaging (CE-MRI) radiomics for pretherapeutic prediction of the response to transarterial chemoembolization (TACE) in patients with hepatocellular carcinoma (HCC).MethodsOne hundred and twenty-two HCC patients (objective response, n = 63; non-response, n = 59) who received CE-MRI examination before initial TACE were retrospectively recruited and randomly divided into a training cohort (n = 85) and a validation cohort (n = 37). All HCCs were manually segmented on arterial, venous and delayed phases of CE-MRI, and total 2367 radiomics features were extracted. Radiomics models were constructed based on each phase and their combination using logistic regression algorithm. A clinical-radiological model was built based on independent risk factors identified by univariate and multivariate logistic regression analyses. A combined model incorporating the radiomics score and selected clinical-radiological predictors was constructed, and the combined model was presented as a nomogram. Prediction models were evaluated by receiver operating characteristic curves, calibration curves, and decision curve analysis.ResultsAmong all radiomics models, the three-phase radiomics model exhibited better performance in the training cohort with an area under the curve (AUC) of 0.838 (95% confidence interval (CI), 0.753 - 0.922), which was verified in the validation cohort (AUC, 0.833; 95% CI, 0.691 - 0.975). The combined model that integrated the three-phase radiomics score and clinical-radiological risk factors (total bilirubin, tumor shape, and tumor encapsulation) showed excellent calibration and predictive capability in the training and validation cohorts with AUCs of 0.878 (95% CI, 0.806 - 0.950) and 0.833 (95% CI, 0.687 - 0.979), respectively, and showed better predictive ability (P = 0.003) compared with the clinical-radiological model (AUC, 0.744; 95% CI, 0.642 - 0.846) in the training cohort. A nomogram based on the combined model achieved good clinical utility in predicting the treatment efficacy of TACE.ConclusionCE-MRI radiomics analysis may serve as a promising and noninvasive tool to predict therapeutic response to TACE in HCC, which will facilitate the individualized follow-up and further therapeutic strategies guidance in HCC patients.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Radiomics Analysis Based on Contrast-Enhanced MRI for Prediction of Therapeutic Response to Transarterial Chemoembolization in Hepatocellular Carcinoma

Zhao

Wang

et al. 2021

Front. Oncol.

View full text Add to dashboard Cite

show abstract

“…Several studies have identified radiological patterns that correlate with response after treatment. Preoperative magnetic resonance image (MRI) features based on irregular tumor margins and abnormal AFP levels in tumors >5cm could predict non-complete response after TACE coupled to high intensity focused ultrasound in an Asiatic cohort (15). Similarly, another study set up on MRI, has indicated that large tumors and intense arterial enhancement increase probabilities of incomplete response (16).…”

Section: Discussionmentioning

confidence: 99%

Measurement of Circulating Tumor Cells Determines Treatment Response and Exitus in Patients with Hepatocellular Carcinoma Submitted to Transarterial Chemoembolization

Cruz‐Ojeda¹,

Navarro-Villarán²,

Mi³

et al. 2020

Preprint

View full text Add to dashboard Cite

Circulating tumor cells (CTCs) enumeration is a promising technique to predict cancer prognosis and treatment response. CTCs were evaluated in healthy subjects, cirrhotic controls and hepatocarcinoma (HCC) patients. CTCs were isolated using microfluidic system based on the expression of EpCAM, EGFR and three epithelial to mesenchymal transition (EMT) markers. Patients were stratified according to disease progression and exitus. Although counts of individual CTCs, clustered CTCs and α-fetoprotein (AFP) at basal level in patients with HCC were significantly increased compared with the values obtained in cirrhotic patients and control subjects, only individual CTCs (p=0.027), but not clustered CTCs (p=0.063) and AFP (p=0.072), were independent predictors of HCC development. The univariate regression model showed that basal levels of CTCs46 were related to high risk of HCC (Odds Ratio 3.467, p=0.011). The stratification of our cohort according to disease progression and death showed that basal individual CTCs 76 (Hazard Ratio 5.131, p=0.004) were related to disease progression, as well as the difference of clustered CTCs between 1-month and baseline levels 1.5 were related to death (Hazard Ratio 10.204, p=0.036). In conclusion, the preoperative and 1-month measurements of CTCs in blood constitute useful markers to predict the outcome of patients under TACE treatment.

show abstract

“…Magnetic resonance imaging (MRI)-based evaluations that are noninvasive and repeatable can be used to preoperatively assess the tumor response, which take an advantage of depicting more soft-tissue characteristics than computed tomography (CT) and avoiding ionizing radiation [9] . Regarding the pretherapeutic imaging features of HCC, several scholars have reported that larger lesion diameter, irregular margin, arterial peritumoral enhancement, satellite nodule, and quantitative functional parameters of diffusion weighted imaging (DWI), intravoxel incoherent motion (IVIM), diffusion kurtosis imaging (DKI), and dynamic contrast enhanced magnetic resonance imaging (DCE-MRI), are found to be associated with therapeutic e cacy of TACE treatment [9][10][11][12][13][14][15] . Although these imaging characteristics are encouraging, they are not su cient for individual evaluations of tumor response to TACE, and the ability to predict TACE e cacy in HCC is limited when a high degree of tumor heterogeneity.…”

Section: Introductionmentioning

confidence: 99%

Intratumoral and Peritumoral Radiomics Based on Contrast-enhanced MRI for Preoperatively Predicting Treatment Response of Transarterial Chemoembolization in Hepatocellular Carcinoma

Zhao

Zhang

Wang

et al. 2022

Preprint

View full text Add to dashboard Cite

Background Noninvasive and precise methods to estimate treatment response and identify hepatocellular carcinoma (HCC) patients who could benefit from transarterial chemoembolization (TACE) are urgently required. The present study aimed to investigate the ability of intratumoral and peritumoral radiomics based on contrast-enhanced magnetic resonance imaging (CE-MRI) to preoperatively predict tumor response to TACE in HCC patients. Methods This retrospective study involved 138 HCC patients (objective response, n = 73 vs. non-response, n = 65) who were divided into the training (n = 96) and validation (n = 42) cohorts. Total 1206 radiomics features were extracted from arterial, venous, and delayed phases images. Radiomics models on intratumoral region (TR) and peritumoral region (PTR) (3 mm, 5 mm, and 10 mm) were established using logistic regression. Three integrated radiomics models, including intratumoral and peritumoral region (T-PTR) (3 mm), T-PTR (5 mm), and T-PTR (10 mm) models, were constructed by using TR and PTR radiomics scores. A clinical-radiological model and a combined model incorporating the optimal radiomics score and selected clinical-radiological predictors were constructed, and the combined model was presented as a nomogram. The discrimination, calibration, and clinical utilities were evaluated by receiver operating characteristic curve, calibration curve, and decision curve analysis, respectively. Results The (T-PTR) (3 mm) radiomics model demonstrated the best performance among all radiomics models with an area under the curve (AUC) of 0.911 (95% confidence interval(CI), 0.825–0.975) in the validation cohort. The (T-PTR) (3 mm) radiomics score, alkaline phosphatase, tumor size, and satellite nodule were combined to construct a combined nomogram. The combined nomogram outperformed the clinical-radiological model with the AUCs of 0.918 (95%CI, 0.831–0.986) and 0.782 (95%CI, 0.660–0.902) and achieved good calibration capability and clinical utility. Conclusions CE-MRI-based intratumoral and peritumoral radiomics approach can provide an effective tool for the precise and individualized estimation of treatment response for HCC patients treated with TACE.

show abstract

Preoperative MRI features and clinical laboratory indicators for predicting the early therapeutic response of hepatocellular carcinoma to transcatheter arterial chemoembolization combined with High-intensity focused ultrasound treatment

Cited by 10 publications

References 31 publications

Radiomics Analysis Based on Contrast-Enhanced MRI for Prediction of Therapeutic Response to Transarterial Chemoembolization in Hepatocellular Carcinoma

Radiomics Analysis Based on Contrast-Enhanced MRI for Prediction of Therapeutic Response to Transarterial Chemoembolization in Hepatocellular Carcinoma

Measurement of Circulating Tumor Cells Determines Treatment Response and Exitus in Patients with Hepatocellular Carcinoma Submitted to Transarterial Chemoembolization

Intratumoral and Peritumoral Radiomics Based on Contrast-enhanced MRI for Preoperatively Predicting Treatment Response of Transarterial Chemoembolization in Hepatocellular Carcinoma

Contact Info

Product

Resources

About