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Preoperative evaluation of the histological grade of hepatocellular carcinoma with diffusion-weighted imaging: a meta-analysis.

Chen J, Wu M, Liu R, Li S, Gao R, Song B - PLoS ONE (2015)

Bottom Line: The AUC were 0.9311 and 0.8513 in predicting w-HCC and p-HCC, respectively.Significant heterogeneity was observed.Nonetheless, further studies in larger populations and an optimized image acquisition and interpretation are required before DWI-derived parameters can be used as a useful image biomarker for the prediction of the histological grade of HCC.

View Article: PubMed Central - PubMed

Affiliation: Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, P. R. China.

ABSTRACT

Objective: To evaluate the diagnostic performance of diffusion-weighted imaging (DWI) in the preoperative prediction of the histological grade of hepatocellular carcinoma (HCC).

Materials and methods: A comprehensive literature search was performed in several authoritative databases to identify relevant articles. QUADAS-2 was used to assess the quality of included studies. Data were extracted to calculate the pooled sensitivity, specificity, positive likelihood ratio (PLR) and negative likelihood ratio (NLR). Summary receiver operating characteristic (SROC) curves were derived and areas under the SROC curve (AUC) were computed to indicate the diagnostic accuracy. Heterogeneity test, meta-regression analysis and sensitivity analysis were performed to identify factors and studies contributed to the heterogeneity.

Results: A total of 11 studies with 912 HCCs were included in this meta-analysis. The pooled sensitivity, specificity, PLR and NLR with corresponding 95% confidence intervals (CI) were 0.54(0.47-0.61), 0.90(0.87-0.93), 4.88(2.99-7.97) and 0.46(0.27-0.77) for the prediction of well-differentiated HCC (w-HCC), 0.84(0.78-0.89), 0.48(0.43-0.52), 2.29(1.43-3.69) and 0.30(0.22-0.41) for the prediction of poorly-differentiated HCC (p-HCC). The AUC were 0.9311 and 0.8513 in predicting w-HCC and p-HCC, respectively. Results were further evaluated according to the method of image interpretation. Significant heterogeneity was observed.

Conclusion: DWI had excellent and moderately high diagnostic accuracy for the detection of w-HCC and p-HCC, respectively. Nonetheless, further studies in larger populations and an optimized image acquisition and interpretation are required before DWI-derived parameters can be used as a useful image biomarker for the prediction of the histological grade of HCC.

No MeSH data available.


Related in: MedlinePlus

Flow diagram of study selection.
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pone.0117661.g001: Flow diagram of study selection.

Mentions: The systematic search initially yielded 210 results. 138 records were identified after duplicates removed. 119 studies were excluded following title and abstract screening. After reading the full texts, 7 of the remaining 19 articles were excluded. Finally, 12 studies [14,17–27] were included for qualitative analysis, of which 11 studies were eligible for meta-analysis. The study selection process is presented with a flowchart in Fig. 1.


Preoperative evaluation of the histological grade of hepatocellular carcinoma with diffusion-weighted imaging: a meta-analysis.

Chen J, Wu M, Liu R, Li S, Gao R, Song B - PLoS ONE (2015)

Flow diagram of study selection.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4320049&req=5

pone.0117661.g001: Flow diagram of study selection.
Mentions: The systematic search initially yielded 210 results. 138 records were identified after duplicates removed. 119 studies were excluded following title and abstract screening. After reading the full texts, 7 of the remaining 19 articles were excluded. Finally, 12 studies [14,17–27] were included for qualitative analysis, of which 11 studies were eligible for meta-analysis. The study selection process is presented with a flowchart in Fig. 1.

Bottom Line: The AUC were 0.9311 and 0.8513 in predicting w-HCC and p-HCC, respectively.Significant heterogeneity was observed.Nonetheless, further studies in larger populations and an optimized image acquisition and interpretation are required before DWI-derived parameters can be used as a useful image biomarker for the prediction of the histological grade of HCC.

View Article: PubMed Central - PubMed

Affiliation: Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, P. R. China.

ABSTRACT

Objective: To evaluate the diagnostic performance of diffusion-weighted imaging (DWI) in the preoperative prediction of the histological grade of hepatocellular carcinoma (HCC).

Materials and methods: A comprehensive literature search was performed in several authoritative databases to identify relevant articles. QUADAS-2 was used to assess the quality of included studies. Data were extracted to calculate the pooled sensitivity, specificity, positive likelihood ratio (PLR) and negative likelihood ratio (NLR). Summary receiver operating characteristic (SROC) curves were derived and areas under the SROC curve (AUC) were computed to indicate the diagnostic accuracy. Heterogeneity test, meta-regression analysis and sensitivity analysis were performed to identify factors and studies contributed to the heterogeneity.

Results: A total of 11 studies with 912 HCCs were included in this meta-analysis. The pooled sensitivity, specificity, PLR and NLR with corresponding 95% confidence intervals (CI) were 0.54(0.47-0.61), 0.90(0.87-0.93), 4.88(2.99-7.97) and 0.46(0.27-0.77) for the prediction of well-differentiated HCC (w-HCC), 0.84(0.78-0.89), 0.48(0.43-0.52), 2.29(1.43-3.69) and 0.30(0.22-0.41) for the prediction of poorly-differentiated HCC (p-HCC). The AUC were 0.9311 and 0.8513 in predicting w-HCC and p-HCC, respectively. Results were further evaluated according to the method of image interpretation. Significant heterogeneity was observed.

Conclusion: DWI had excellent and moderately high diagnostic accuracy for the detection of w-HCC and p-HCC, respectively. Nonetheless, further studies in larger populations and an optimized image acquisition and interpretation are required before DWI-derived parameters can be used as a useful image biomarker for the prediction of the histological grade of HCC.

No MeSH data available.


Related in: MedlinePlus