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Cancer Imaging logoLink to Cancer Imaging
. 2020 Jan 6;20:3. doi: 10.1186/s40644-019-0282-9

Utility of diffusion weighted imaging with the quantitative apparent diffusion coefficient in diagnosing residual or recurrent hepatocellular carcinoma after transarterial chemoembolization: a meta-analysis

Zhao Liu 1,2, Jin-Ming Fan 1,2, Chen He 1,2, Zhi-Fan Li 1,2, Yong-Sheng Xu 2, Zhao Li 1,2, Hai-Feng Liu 3,✉, Jun-Qiang Lei 2
PMCID: PMC6945501  PMID: 31907050

Abstract

Background

Accurate and early diagnosis of residual tumors or intrahepatic recurrences after TACE is critically needed for determining the success of treatments and for guiding subsequent therapeutic planning. This meta-analysis was performed to assess the efficacy of diffusion weighted imaging (DWI) with the quantitative apparent diffusion coefficient (ADC) value in diagnosing residual or recurrent hepatocellular carcinoma after transarterial chemoembolization (TACE).

Materials and methods

A comprehensive literature search of PubMed, Embase, Web of Science, Scopus and the Cochrane Library database, from inception to July 2019, was conducted to select original studies on diagnosing residual or recurrent HCCs after TACE using DWI sequence with its ADC value. Two researchers independently chose study, extracted data, conducted meta-analysis, and evaluated methodological quality according to Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool.

Results

Twelve studies comprising 624 patients and 712 tumors were finally included. The pooled sensitivity, specificity and AUC value of DWI in diagnosing residual or recurrent HCCs after TACE were 85% (95%CI: 74–92%), 83% (95%CI: 75–88%) and 0.90 (95%CI: 0.87–0.92), respectively. Residual or recurrent HCCs have significantly lower ADC value than necrotic tumors (MD = -0.48, 95%CI: − 0.69~ − 0.27, P < 0.01).

Conclusion

This study demonstrated that DWI performed better in diagnosing residual or recurrent HCCs after TACE, and ADC value may serve as alternatives for further evaluation of residual or recurrent leisions in HCC patients after TACE.

Keywords: Diffusion weighted imaging (DWI), Apparent diffusion coefficient (ADC), Hepatocellular carcinoma (HCC), Transarterial chemoembolization (TACE), Meta-analysis

Introduction

Hepatocellular carcinoma (HCC) is one of the most malignant tumors, with serious threats to human life and health, and it is estimated to be the fourth major factor of cancer death in the worldwide population [1]. However, only approximately 20% of patients with HCC are suitable for surgical resection or liver transplantation, mainly because the tumors are often diagnosed at an intermediate to advanced stage, and the associated liver cirrhosis is too far developed to permit tumor resection or liver transplantation to be endured [2, 3].

As a first-line and curative therapy, transarterial chemoembolization (TACE) operates by injecting chemotherapeutic drugs at the HCC site while impeding blood supply to the tumor. In previous studies, TACE has been proven to be an efficient bridge therapy for patients waiting for liver transplantation and can improve survival prognosis in patients with inoperable HCC [4, 5]. However, the rate of recurrent HCC after TACE is relatively high, with reported 12-month recurrence rates of 78% [6]. Therefore, the accurate and early diagnosis of residual tumors or intrahepatic recurrences after TACE is critically needed for determining the success of treatments and for guiding subsequent therapeutic planning.

By detecting water diffusion indirectly, diffusion weighted imaging (DWI) provides information regarding tissue cellularity and cell membrane integrity, and its quantitative value of the apparent diffusion coefficient (ADC) is highly associated with tumor cellularity [7, 8], indicating that DWI and ADC values may be potentially used to diagnose and differentiate residual or recurrent HCCs after TACE. Moreover, DWI and ADC values are of great importance in guiding the post-TACE treatment of patients with HCC. However, the accuracy of DWI and the quantitative ADC value for diagnosing residual or recurrent HCCs has shown conflicting results in an increasingly large number of clinical trials, mainly because different diagnostic accuracies associated with DWI and ADC values have been reported [9–20]. Therefore, based on the currently available published articles on DWI and the ADC value in detecting residual or recurrent HCCs after TACE, this meta-analysis was performed to provide evidence-based conclusions for imaging diagnostics.

Materials and methods

Literature search

According to the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines [21], a comprehensive literature search in PubMed, Embase, Web of Science, Scopus and the Cochrane library database was performed to select original studies, from inception to July 2019, that evaluated the accuracy of DWI and the quantitative ADC value in diagnosing residual or recurrent HCCs after TACE. Medical subject heading words and free words were used conjunctly and were as follows: (1) “Diffusion weighted imaging” or “DWI”; and (2) “transarterial chemoembolization” or “transcatheter arterial chemoembolization” or “TACE”. In addition, a manual search was performed of the identified review articles and included the study references to acquire available studies and to minimize the potential publication bias.

Selection of articles

Inclusion criteria

(1) DWI and the calculated ADC values were used as diagnostic indices for detecting residual or recurrent HCCs after TACE. (2) Pathology and/or digital subtraction angiography (DSA) and/or follow-up clinical results served as the reference standard [22]. (3) The two-by-two table, including the true-positive (TP), false-positive (FP), false-negative (FN) and true-negative (TN) values, could be extracted or calculated. (4) More than 10 patients were included in the study. (5) When the data were published repeatedly, the latest study with detailed information was included. (6) The study was published in English.

Exclusion criteria

(1) Surgical resection and any other therapies besides TACE were applied to treat HCC. (2) The two-by-two table of DWI alone could not be acquired when DWI was used in conjunction with other MRI images; these studies were also excluded. (3) Review articles, case reports, animal studies, and editorial comments were excluded. (4) Conferences abstracts were also excluded, as their conclusions might not be up to date.

Data extraction and quality assessment

Two researchers (ZL and HFL) independently extracted the study data and evaluated the methodological quality using the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool [23], and any disagreements were solved through discussion until consensus was reached. A predefined Excel file was adopted to extract study data, including first author name, publication year, country, study design type (prospective or retrospective), baseline information of involved patients (number, mean age, gender, the number of lesions), time interval between TACE and DWI examination, blinding method application, reference standard, DWI protocol (field strength, b value, ADC cut-off value), and threshold method used (visual diagnosis or ADC measurement). Additionally, two-by-two table values were extracted from all included studies. The quality was assessed via the evaluation of risk bias in four domains (patient selection, index test, reference standard, and flow and timing) and clinical applicability in three domains (patient selection, index test and reference standard) of the study characteristics. Each domain was scored as high, low, or unclear.

Data synthesis and statistical analysis

Data synthesis and statistical analysis were performed using STATA (version 12.0, StataCorp, USA) and Review Manager software (version 5.3, the Cochrane Collaboration, 2014). To present the study characteristics of DWI in diagnosing residual or recurrent HCCs after TACE suitably, data synthesis was performed by the METANDI module and hierarchical logistic regression modeling in STATA software. The Spearman correlation coefficient was calculated to test the threshold, and a P-value less than 0.05 indicated the threshold effect. A chi-squared test was performed to measure the heterogeneity degree of the enrolled studies, and the degree was considered low for I-squared (I2) = 25 to 49%, moderate for I2 = 50 to 74%, and high for I2 > 75%.

The pooled sensitivity (SEN), specificity (SPE), positive likelihood ratio (PLR) and negative likelihood ratio (NLR) with their 95% confidence intervals (CIs) were computed from the two-by-two table data. Then, the receiver operator characteristics (ROC) curve and area under the ROC curve (AUC) were computed to evaluate the value of DWI in diagnosing residual or recurrent HCCs after TACE, and the value was considered good for AUC values > 0.9 and medium for AUC values from 0.7 to 0.9. Moreover, the ADC values of the residual or recurrent HCC group and the necrotic lesion group were compared and pooled as the mean difference (MD) with a random-effects model to incorporate expected heterogeneity. Additionally, possible factors, including study design type (retrospective or prospective), b value (< 800 or ≥ 800) and threshold method (visual analysis or ADC measurement), that may lead to heterogeneity were analyzed through subgroup analysis. Moreover, the reliability and stability of this study were evaluated through sensitivity analysis. Last, Deeks’ funnel plot with the linear regression of log odds ratios on the inverse root of effective sample sizes was performed to test for publication bias: a P-value < 0.05 was representative of publication bias.

Result

Study selection and description

Figure 1 demonstrates a detailed flowchart of the study selection process. The electronic search combined with the manual search initially yielded 2210 potential literature references, and this number was reduced to 1356 after removing 854 duplicated references by Endnote X7 software. Upon reading the titles and abstracts, only 97 references were retrieved for further inspection. After full text review, a total of 12 studies [9–20], comprising 624 patients and 712 tumors evaluated by DWI, were finally included. The baseline information extracted from each study is presented in Table 1.

Fig. 1.

Fig. 1

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The flowchart of the study selection process

Table. 1.

Baseine characteristics of included studes

Author Year Country Design No. Patient Gender Age, Year time interval No. lesion Field Strength b value Blind Reference Standard ADC cut off value
(×10−3 mm2/s)		 Threshold
used
Afifi [9] 2016 Egypt Pro 20 18/2 56(42–69) 3w 20 1.5 T 0, 300,600 NR follow up NR Visual
Du [10] 2014 China Re 89 57/32 56.0(26–78) 1mo 113 1.5 T 0,800 NR follow up 1.54 ADC
Ebraheem [11] 2017 Egypt Pro 50 42/8 60(40–79) NR 50 1.5 T 0,50,1000 NR follow up NR Visual
Goshima [12] 2008 Japan Re 25 18/7 60(48–79) 2-6mo 39 1.5 T 0,500 Y follow up NR Visual
Hassan [13] 2019 USA Re 60 45/15 60(40–73) NR 63 1.5 T 0,400,800 NR follow up N Visual
Kokabi [14] 2015 Georgia Pro 57 39/18 61.3(25–82) 3mo 57 1.5 T 50,400,800 NR follow up 0.83 ADC
Li [15] 2016 China Pro 117 86/31 51.7(31–74) 1mo 117 NR NR NR follow up 1.24 ADC
Mannelli [16] 2009 USA Re 21 19/2 57.7(30–70) 10d-3mo 28 1.5 T 0,50,500 Y Patholoy 2.16 ADC
Wu [17] 2017 China Pro 84 57/27 54.5(25–76) 1mo-2mo 84 1.5 T 300,600,800 NR follow up 1.20 ADC
Xiao [18] 2008 China Re 15 13/2 45.7(17–63) 10d-2mo 30 1.5 T 0,500 Y patholoy NR Visual
Yousef [19] 2017 Egypt Pro 45 38/7 59(38–75) 3w-5 m 59 1.5 T 0,400,800 NR follow up NR Visual
Yuan [20] 2014 China Pro 41 34/7 56.2(23–78) 6w-8w 52 1.5 T 0,500 Y follow up 1.84 Visual
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No Number, Pro Prospective, Re Retrospective, NR Not report, ADC Apparent diffusion coefficient

Assessment of study quality

The methodological assessment results of the included studies are shown in Table 2. The risk of bias for patient selection was primarily related to case-control studies. Case-control studies were defined as studies involving both patients prediagnosed with and patients without residual or recurrent HCCs after TACE before undergoing DWI examination. In this meta-analysis, none of the included studies had a case-control design, leading to a low risk of bias in patient selection for all included studies. For this meta-analysis, only four studies showed a clear blinding application method [12, 16, 18, 20], which results in an unclear risk of bias concerning the index test in the other eight studies. Pathology, DSA and clinical follow-up results are all reliable reference standards in diagnosing residual or recurrent HCCs after TACE; therefore, all studies included in this meta-analysis presented a low risk of bias compared with the reference standard.

Table. 2.

The distribution of included quality according to QUADAS-2 tool

Afifi 2016 [9] Du 2014 [10] Ebraheem 2017 [11] Goshima 2008 [12] Hassan 2009 [13] Kokabi 2015 [14] Li 2016 [15] Mannelli 2009 [16] Wu 2017 [17] Xiao 2008 [18] Yousef 2017 [19] Yuan 2014 [20]
Ris of bias U U U L U U U L U L U L
 Patient selection L L L L L L L L L L L L
 Index Test U U U L U U U L U L U L
 Reference standard L L L L L L L L L L L L
 Flow and timing L L L L L L L L L L L L
Applicability Concerns L L L L L L L L L L L L
 Patient selection L L L L L L L L L L L L
 Index Test U U U L U U U L U L U L
 Reference standard L L L L L L L L L L L L
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L Low, U Unclear

Statistical analysis

Heterogeneity test

The Spearman correlation coefficient was 0.141 (P = 0.662 > 0.05), indicating that there was no obvious threshold effect of DWI in diagnosing residual or recurrent HCCs after TACE. The chi-squared value of the pooled SEN was 27.47 (P = 0.02 < 0.05), and the I2 value was 49.03%, demonstrating low heterogeneity for SEN. SPE had a chi-squared value of 56.58 (P < 0.01), and the I2 value was 75.38%, representing high heterogeneity.

Pooled analysis

The pooled weighted values of DWI in diagnosing residual or recurrent HCCs after TACE were as follows: SEN =85% (95% CI: 74–92%), SPE =83% (95% CI: 75–88%), PLR =5.12 (95% CI: 3.27–7.38), NLR =0.18 (95% CI: 0.09–0.34), and AUC =0.90 (95% CI: 0.87–0.92). Forest plots and ROC curves for the 12 studies are shown in Figs. 2, 3, 4.

Fig. 2.

Fig. 2

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Forest plots of sensitivity for DWI in diagnosing residual or recurrent HCCs after TACE

Fig. 3.

Fig. 3

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Forest plots of specificity for DWI in the diagnosis of residual or recurrent HCCs after TACE

Fig. 4.

Fig. 4

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Forest plots of ROC for DWI in the detection of residual or recurrent HCCs after TACE

Comparison of ADC values

Among the included studies, 8 studies compared the ADC value between residual or recurrent HCCs and necrotic tumors. Our pooled analysis demonstrated that residual or recurrent HCCs had significantly lower ADC values than necrotic tumors (MD = -0.48, 95% CI: − 0.69~ − 0.27, P < 0.01), which is shown in Fig. 5, indicating that the ADC value may be important for differentiating residual and recurrent HCCs after TACE.

Fig. 5.

Fig. 5

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Forest plots of ADC value between residual or recurrent HCCs and necrotic tumors

Subgroup analysis

As presented in Table 3, the study design type, b value and threshold method used did not significantly affect the ability of DWI to diagnose residual or recurrent HCCs after TACE.

Table 3.

Subgroup analysis for the diagnostic performance of DWI on overall level

Characteristic No.of Studies Sensitivity
(95% CI)		 Specificity
(95% CI)		 I2 index of Sensitivity/Specificity AUC (95% CI) P Value
All studies 12 0.85(0.74–0.92) 0.83(0.75–0.88) 85.0/65.3 0.90(0.87–0.92)
Study design
 Retrospective 5 0.80(0.73–0.86) 0.81(0.71–0.88) 0.00/69.6 0.86(0.83–0.89) 0.68
 Prospective 7 0.91(0.69–0.98) 0.82(0.74–0.88) 92.1/67.5 0.88(0.85–0.90)
b value
 < 800 5 0.88(0.69–0.96) 0.92(0.83–0.96) 67.5/0.00 0.93(0.91–0.95) 0.40
 ≥ 800 6 0.85(0.75–0.92) 0.76(0.66–0.83) 58.8/49.2 0.87(0.83–0.89)
Threshold method
 visual 6 0.82(0.71–0.89) 0.82(0.67–0.91) 38.663.1 0.88(0.85–0.90) 0.47
 ADC 6 0.87(0.65–0.96) 0.85(0.76–0.91) 92.9/72.7 0.90(0.87–0.92)
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P value: Comparasion of AUC value between different subgroup analyses

Analysis of sensitivity and publication bias

For the use of DWI in the detection of residual or recurrent HCCs after TACE, the reliability and stability of this meta-analysis were assessed by removing one study with unclear field strength and the use of the b value. The resulting SEN was 87% (95% CI 78–93%), SPE was 83% (95% CI 74–89%) and AUC was 0.91 (95% CI 0.88–0.93), indicating that the effect values were still within the 95% CI of the original results, thus showing that the results were reliable and stable. Deeks’ funnel plot is presented in Fig. 6 and demonstrates no obvious publication bias of DWI in the diagnosis of residual or recurrent HCCs after TACE (P = 0.206).

Fig. 6.

Fig. 6

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Deeks’ funnel plot for publication bias assessment of DWI for diagnosis of residual or recurrent HCCs after TACE

Discussion

Because of the potential severe complications and relatively high cost, pathology and digital subtraction angiography are not recommended as routine follow-up examinations for diagnosing residual or recurrent HCCs after TACE [24]. However, residual or recurrent HCCs increase the disease burden and worsen the survival prognosis of patients after TACE [25]; thus, noninvasive imaging is increasingly being used to diagnose residual or recurrent HCCs after TACE. Contrast-enhanced computed tomography (CECT) is commonly used in analyzing the distribution of lipiodol deposition and is beneficial for evaluating the therapeutic effects of TACE [26]. However, lipiodol deposition often makes it hard to diagnose the residual tumor on CECT because the accumulation of intratumoral lipiodol may mask its enhancement, which would significantly decrease the accuracy and contribute to a lower sensitivity of 72% (95% CI: 67–76%) [27] compared with this study conclusion that DWI had a higher sensitivity of 85% (95% CI: 74–92%) in detecting residual or recurrent HCCs. Contrast-enhanced ultrasonography (CEUS) is a valuable imaging method for evaluating vascularity because the depiction of tumor vascularity is not affected by lipiodol accumulation. A recent meta-analysis reported that CEUS can reach up to a weighted SEN of 97% (95% CI: 95–99%) in the diagnosis of residual or recurrent HCC after TACE [27]. Nevertheless, CEUS examination has always been conducted on a solitary mass or on a dominant mass in patients with multiple tumors, which limits its wide clinical application in detecting residual or recurrent HCCs after TACE [28].

After the TACE procedure, the HCC tumor cells undergo necrosis and apoptosis, with increased cell membrane permeability and enlarged cell gaps, leading to more water molecule movement on DWI and an increased ADC value. For residual or recurrent HCCs, the tortuosity of the extracellular space and the higher density of hydrophobic cellular membranes will increase cell density and restrict the apparent diffusion of water protons, thus presenting a high signal on DWI and a lower ADC value [7, 29]; therefore, DWI was increasingly used in the follow-up of TACE treatment. To provide a diagnostic value and to investigate the possible factors that affect the efficacy of conducting DWI, this meta-analysis was performed to evaluate the value of DWI in diagnosing residual or recurrent HCCs after TACE.

In this study, 12 studies comprising 624 patients and 712 tumors detected on DWI were included. The SEN, SPE, and AUC values of DWI in diagnosing residual or recurrent HCCs after TACE were 85% (95% CI: 74–92%), 83% (95% CI: 75–88%), and 0.90 (95% CI: 0.87–0.92), respectively, indicating a high value of DWI in diagnosing residual or recurrent HCCs after TACE. Additionally, the PLR for DWI was 5.12 (95% CI: 3.27–7.38), revealing moderate accuracy in diagnosing residual or recurrent HCCs after TACE. The NLR value for DWI was 0.18 (95% CI: 0.09–0.34), and a negative DWI result may be used as a moderate justification to rule out residual or recurrent HCCs after TACE. Moreover, this pooled analysis also indicated that the ADC value of necrotic tumors was significantly higher than that of residual or recurrent HCCs, confirming previous findings and revealing that the ADC value can be used as an efficient imaging method to differentiate the properties of lesions after TACE.

In this meta-analysis, the opposite results of false-negative (1-SEN) and false-positive (1-SPE) rates were 15 and 17%, respectively, for DWI in diagnosing residual or recurrent HCCs after TACE, and some of the following possible factors could contribute to the relatively high number of false-negative and false-positive results. 1) Adjacent hepatic inflammation could restrict water diffusion, resulting in sustained hyperintensity on DWI, thereby producing a false-positive DWI diagnosis of the lesion after TACE [30, 31]. 2) Intralesional hemorrhage or liquefactive necrosis can occur after TACE, which may also contribute to diffusion restriction in necrotic tumors, and can decrease the accuracy of DWI in the detection of residual or recurrent HCCs [32]. 3) Owing to the limited spatial resolution of DWI, small tumors would not be diagnosed precisely, leading to false-negative and false-positive results on DWI [33]. 4) The signal intensities observed on DWI are easily affected by the T2-relaxation time of the tissue, as seen in the fact that a false-positive diagnosis of necrotic tissue may be induced by well-differentiated HCCs, high-grade dysplastic nodules, and hemangioma [34]. Only histopathology can be regarded as the absolute gold standard for diagnosing residual or recurrent HCCs [22]. DSA or follow-up results may contribute to false-positive results.

Significant sources of heterogeneity concerning the use of DWI in the diagnosis of residual or recurrent HCCs after TACE and the evaluation of this meta-analysis demonstrated 4 potential factors that may account for this result: 1) Freiman et al. [35] reported that a higher b value might decrease the signal-to-noise ratio (SNR), whereas blood perfusion can be easily affected by a lower b value. Vandecaveye et al. [36] suggested that the SNR is the highest and the image quality of DWI is the best at a specific b value of 600 s/mm2. This meta-analysis demonstrated that DWI performed better for the diagnosis of residual or recurrent HCCs after TACE with lower b values than with higher b values, revealing that the b value of DWI was one of the factors affecting diagnostic efficacy. 2) Heterogeneity might be induced by the different threshold methods used. There is a trend towards a higher diagnostic value of ADC measurement compared to visual diagnosis. Visual diagnosis is easily affected by the T2 shine-through effect and may account for this result [37]. 3) There are 5 retrospective studies and 7 prospective studies included in this study, which may be another reason for the heterogeneity. Prospective studies tended to perform better, although these findings were not statistically significant. 4) Heterogeneity might also be induced by the various field strengths adopted in the different studies [38], because a higher resolution of images will be created with higher field DWI-MRI scanners. However, we were not able to perform subgroup analysis associated with field strength owing to the limited included studies.

There were some deficiencies in this study that should be noted. First, although a combination of electronic and manual searches was performed, only 12 studies comprising 624 patients on DWI were involved. The small number of included studies might have a negative impact on the diagnostic accuracy; therefore, further high-quality studies on a larger scale may be required. Second, the exclusion of studies other than those published in English, review articles and conference abstracts may contribute to potential publication bias. Third, field strength was found to affect the efficacy of DWI in diagnosing residual or recurrent HCCs after TACE. However, because of the limitations of the included studies, the accuracy of DWI in diagnosing residual or recurrent HCCs after TACE from the perspective of field strength was not been explored.

Conclusion

In conclusion, our study suggested that DWI performs well in diagnosing residual or recurrent HCCs after TACE, and the ADC value may serve as an alternative marker in the further evaluation of HCC patients after TACE.

Acknowledgements

Not applicable.

Abbreviation

ADC

Apparent diffusion coefficient

AUC

Area under the curve

CI

Confidence interval

DSA

Digital subtraction angiography

DWI

Diffusion weighted imaging

FN

False negative

FP

False positive

HCC

Hepatocellular carcinoma

MD

Mean difference

ROC

Receiver operator characteristics

TACE

Transarterial chemoembolization

TN

True negative

TP

True positive

Authors’ contributions

ZL and HFL conceived the study, searched databases, selected studies, extracted data. ZL and JMF wrote the draft of the manuscript. CH and ZFL provided advice on meta-analysis methodology, analyzed the data. YSX and ZL reviewed and revised the manuscript. HFL and JQL helped search databases, selected studies, selected studies, extracted and analyzed data, and contributed to writing the manuscript. All authors read and approved the final manuscript.

Funding

This work was supported by the Fundamental Research Funds for the Central Universities (lzujbky-2019-cd04); National Natural Science Foundation of China (81960323).

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Footnotes

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

Zhao Liu, Email: 531816508@qq.com.

Jin-Ming Fan, Email: fanjm16@lzu.edu.cn.

Chen He, Email: hech16@lzu.edu.cn.

Zhi-Fan Li, Email: lizf16@lzu.edu.cn.

Yong-Sheng Xu, Email: xuys1990@163.com.

Zhao Li, Email: 1642502580@qq.com.

Hai-Feng Liu, Email: liuhfyx@163.com.

Jun-Qiang Lei, Email: leijq2011@126.com.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

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