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Michallek F, Sartoris R, Beaufrère A, Dioguardi Burgio M, Cauchy F, Cannella R, Paradis V, Ronot M, Dewey M, Vilgrain V. Differentiation of hepatocellular adenoma by subtype and hepatocellular carcinoma in non-cirrhotic liver by fractal analysis of perfusion MRI. Insights Imaging 2022; 13:81. [PMID: 35482151 PMCID: PMC9050986 DOI: 10.1186/s13244-022-01223-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 04/08/2022] [Indexed: 11/30/2022] Open
Abstract
Background To investigate whether fractal analysis of perfusion differentiates hepatocellular adenoma (HCA) subtypes and hepatocellular carcinoma (HCC) in non-cirrhotic liver by quantifying perfusion chaos using four-dimensional dynamic contrast-enhanced magnetic resonance imaging (4D-DCE-MRI). Results A retrospective population of 63 patients (47 female) with histopathologically characterized HCA and HCC in non-cirrhotic livers was investigated. Our population consisted of 13 hepatocyte nuclear factor (HNF)-1α-inactivated (H-HCAs), 7 β-catenin-exon-3-mutated (bex3-HCAs), 27 inflammatory HCAs (I-HCAs), and 16 HCCs. Four-dimensional fractal analysis was applied to arterial, portal venous, and delayed phases of 4D-DCE-MRI and was performed in lesions as well as remote liver tissue. Diagnostic accuracy of fractal analysis was compared to qualitative MRI features alone and their combination using multi-class diagnostic accuracy testing including kappa-statistics and area under the receiver operating characteristic curve (AUC). Fractal analysis allowed quantification of perfusion chaos, which was significantly different between lesion subtypes (multi-class AUC = 0.90, p < 0.001), except between I-HCA and HCC. Qualitative MRI features alone did not allow reliable differentiation between HCA subtypes and HCC (κ = 0.35). However, combining qualitative MRI features and fractal analysis reliably predicted the histopathological diagnosis (κ = 0.89) and improved differentiation of high-risk lesions (i.e., HCCs, bex3-HCAs) and low-risk lesions (H-HCAs, I-HCAs) from sensitivity and specificity of 43% (95% confidence interval [CI] 23–66%) and 47% (CI 32–64%) for qualitative MRI features to 96% (CI 78–100%) and 68% (CI 51–81%), respectively, when adding fractal analysis. Conclusions Combining qualitative MRI features with fractal analysis allows identification of HCA subtypes and HCCs in patients with non-cirrhotic livers and improves differentiation of lesions with high and low risk for malignant transformation. Supplementary Information The online version contains supplementary material available at 10.1186/s13244-022-01223-6.
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Affiliation(s)
- Florian Michallek
- Department of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin Institute of Health, Charitéplatz 1, 10117, Berlin, Germany.
| | - Riccardo Sartoris
- Université de Paris, CRI, U1149, Paris, France.,Department of Radiology, Hôpital Beaujon, AP-HP.Nord, 100 Boulevard du Général Leclerc, 92110, Clichy, France
| | - Aurélie Beaufrère
- Université de Paris, CRI, U1149, Paris, France.,Department of Pathology, Hôpital Beaujon, AP-HP.Nord, 100 Boulevard du Général Leclerc, 92110, Clichy, France
| | - Marco Dioguardi Burgio
- Université de Paris, CRI, U1149, Paris, France.,Department of Radiology, Hôpital Beaujon, AP-HP.Nord, 100 Boulevard du Général Leclerc, 92110, Clichy, France
| | - François Cauchy
- Department of HBP Surgery, Hôpital Beaujon, AP-HP.Nord, 100 Boulevard du Général Leclerc, 92110, Clichy, France
| | - Roberto Cannella
- Department of Radiology, Hôpital Beaujon, AP-HP.Nord, 100 Boulevard du Général Leclerc, 92110, Clichy, France.,Section of Radiology - BiND, University Hospital "Paolo Giaccone", Via del Vespro 129, 90127, Palermo, Italy.,Department of Health Promotion Sciences Maternal and Infant Care, Internal Medicine and Medical Specialties, PROMISE, University of Palermo, 90127, Palermo, Italy
| | - Valérie Paradis
- Department of Pathology, Hôpital Beaujon, AP-HP.Nord, 100 Boulevard du Général Leclerc, 92110, Clichy, France
| | - Maxime Ronot
- Université de Paris, CRI, U1149, Paris, France.,Department of Radiology, Hôpital Beaujon, AP-HP.Nord, 100 Boulevard du Général Leclerc, 92110, Clichy, France
| | - Marc Dewey
- Department of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin Institute of Health, Charitéplatz 1, 10117, Berlin, Germany.,DKTK (German Cancer Consortium), Partner Site, Berlin, Germany
| | - Valérie Vilgrain
- Université de Paris, CRI, U1149, Paris, France.,Department of Radiology, Hôpital Beaujon, AP-HP.Nord, 100 Boulevard du Général Leclerc, 92110, Clichy, France
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Nalaini F, Shahbazi F, Mousavinezhad SM, Ansari A, Salehi M. Diagnostic accuracy of apparent diffusion coefficient (ADC) value in differentiating malignant from benign solid liver lesions: a systematic review and meta-analysis. Br J Radiol 2021; 94:20210059. [PMID: 34111960 DOI: 10.1259/bjr.20210059] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
OBJECTIVES We undertook a systematic review and meta-analysis of the diagnostic performance of mean apparent diffusion coefficient (ADC) values derived by diffusion-weighted (DW)-MRI in the characterization of solid benign and malignant liver lesions, and to assess their value in discriminating these lesions in daily routine practice. METHODS A systematic review of PubMed, Embase, Scopus, and Web of Science was conducted to retrieve studies that used ADC values for differentiating solid benign/dysplastic nodules and malignant liver lesions. A bivariate random-effects model with pooled sensitivity and specificity values with 95% CI (confidence interval) was used. This meta-analysis was performed on the per-lesion basis. Summary receiver operating characteristic (SROC) plot and area under curve (AUC) were created. RESULTS A total of 14 original articles were retrieved. The combined (95% CI) sensitivity and specificity of mean ADC values for differentiating solid benign from malignant lesions were 78% (67-86%) and 74% (64-81%), respectively. The pooled (95% CI) positive and negative LRs were respectively 3 (2.3-3.8) and 0.3 (0.21-0.43). The DOR (95% CI) was 10 (7-15). The AUC (95% CI) of the SROC plot was 82% (78-85%). Reporting bias was negligible (p value of regression test = 0.36). Mean size of malignant lesions and breathing pattern of MRI were found to be sources of heterogeneity of pooled sensitivity. CONCLUSION ADC measurement independently may not be an optimal diagnostic imaging method for differentiating solid malignant from solid benign hepatic lesions. The meta-analysis showed that ADC measurement had moderate diagnostic accuracy for characterizing solid liver lesions. Further prospective and comparative studies with pre-specified ADC thresholds could be performed to investigate the best MRI protocol and ADC threshold for characterizing solid liver lesions. ADVANCES IN KNOWLEDGE ADC measurement by DW-MRI does not have a good diagnostic performance to differentiate solid malignant from solid benign lesions. Therefore, we suggest not using ADC values in clinical practice to evaluate solid liver lesions.
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Affiliation(s)
- Farhad Nalaini
- Department of Radiology, School of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Fatemeh Shahbazi
- School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | | | - Ali Ansari
- Department of Mathematics, K. N. Toosi University of Technology, Tehran, Iran
| | - Mohammadgharib Salehi
- Department of Radiology, School of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran
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Pankaj Jain T, Kan WT, Edward S, Fernon H, Kansan Naider R. Evaluation of ADC ratio on liver MRI diffusion to discriminate benign versus malignant solid liver lesions. Eur J Radiol Open 2018; 5:209-214. [PMID: 30480057 PMCID: PMC6240802 DOI: 10.1016/j.ejro.2018.10.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2018] [Revised: 10/12/2018] [Accepted: 10/21/2018] [Indexed: 02/07/2023] Open
Abstract
PURPOSE The aim of this project is to investigate the usefulness of the absolute liver lesion ADC value and ratio of Apparent diffusion coefficient (ADC) values of a liver lesion and liver parenchyma to discriminate between a benign and malignant lesion. METHODS Liver MRI scans performed between January 2009 and June 2015 were retrospectively analysed. Scans were performed on either a 1.5 T or 3 T MRI unit. The type of liver lesion (benign or malignant) was determined by its radiological appearance, histology result and clinical management. Lesions with undetermined diagnosis or MRI studies degraded by artifacts were excluded. Liver cysts were also excluded from the analysis. ADC value of a lesion and liver parenchyma was measured and ADCratio was calculated. The values were analysed using independent samples t-test Results:Data set contained 39 benign lesions and 36 malignant lesions. Mean ADC value for benign lesions was 1678, and the mean value for malignant lesions was 1097 with a statistically significant difference of p < 0.001. All lesions with ADC value below 955 were malignant, while all lesions with ADC value above 1880 were benign. ADC value of 1260 was identified as the best available cut-off value for differentiating benign and malignant lesions, achieving sensitivity of 92%, specificity of 80% and an overall accuracy of 89%. The mean lesion to liver ADCratio for benign lesions was 1.3467 and for malignant lesions was 0.9038 with a statistically significant difference of p < 0.001. All lesions with ADCratio measuring <0.9 were malignant while lesions with ADCratio>1.5 were benign. ADCratio of 1.1 was identified statistically as the best available cut-off value for differentiating benign from malignant lesions, with sensitivity of 82%, specificity of 86% and an overall accuracy of 92%. CONCLUSION Our dataset indicates that lesion to background liver ADCratio is superior in discriminating between benign and malignant focal lesions compared to absolute ADC values of the hepatic lesions.
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Affiliation(s)
- Tarun Pankaj Jain
- Universal Medical Imaging, 1/110 Giles street, Kingston, ACT 2604, Canada
- Medical Imaging Department, The Canberra Hospital, Garran, ACT 2606, Australia
| | - Wen Ter Kan
- Medical Imaging Department, The Canberra Hospital, Garran, ACT 2606, Australia
- Corresponding author.
| | - Sean Edward
- Medical Imaging Department, The Canberra Hospital, Garran, ACT 2606, Australia
| | - Helen Fernon
- Universal Medical Imaging, 1/110 Giles street, Kingston, ACT 2604, Canada
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Hu Y, Tang H, Li H, Li A, Li J, Hu D, Li Z, Kamel IR. Assessment of different mathematical models for diffusion-weighted imaging as quantitative biomarkers for differentiating benign from malignant solid hepatic lesions. Cancer Med 2018; 7:3501-3509. [PMID: 29733515 PMCID: PMC6051139 DOI: 10.1002/cam4.1535] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2018] [Revised: 04/09/2018] [Accepted: 04/10/2018] [Indexed: 01/25/2023] Open
Abstract
To quantitatively compare the monoexponential, biexponential, and stretched‐exponential diffusion‐weighted imaging (DWI) models in differentiating benign from malignant solid hepatic lesions. The institutional review board approved this retrospective study and waived the informed consent requirement. A total of 188 patients with 288 hepatic lesions included 202 malignant lesions and 86 benign lesions were assessed (confirmed by pathology or clinical follow‐up for 6 months). All patients underwent hepatic 3.0‐T MRI, including multi‐b DWI that used 12 b values. The ADC, Dp, Dt, perfusion fraction (fp), α, and DDC values for normal liver, benign liver lesions, and malignant liver lesions were calculated. Independent sample t tests were used for comparisons. The diagnostic performance of the parameters was evaluated using ROC analysis. The AUC value for each model was also calculated. The value of Dp was significantly lower in benign lesions than in normal hepatic parenchyma while others were significantly higher (P < .001). Whereas Values of Dt and α in malignant hepatic lesions were significantly higher than in normal hepatic parenchyma (P < .001), and the Dp value was significantly lower (P < .001). Values of ADC, fp, DDC, and α for malignant hepatic lesions were significantly lower than those for benign hepatic lesions (P < .001). ROC analysis showed that the diagnostic value of the biexponential model of normal hepatic parenchyma vs benign hepatic lesions and normal hepatic parenchyma vs malignant hepatic lesions was high (0.946 and 0.876, respectively). In the differential diagnosis of benign and malignant hepatic lesions, DDC had the highest AUC value (0.819). The biexponential and stretched‐exponential DWI may provide additional information and improve the differential diagnosis of benign and malignant hepatic lesions compared with the monoexponential DWI.
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Affiliation(s)
- Yao Hu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Hao Tang
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Haojie Li
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Anqin Li
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Jiali Li
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Daoyu Hu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Zhen Li
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Ihab R Kamel
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins Medical Institutions, Baltimore, MD, USA
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Peng J, Li JJ, Li J, Li HW, Xu GP, Jia RR, Zhang XN, Zhao Y. Could ADC values be a promising diagnostic criterion for differentiating malignant and benign hepatic lesions in Asian populations: A meta-analysis. Medicine (Baltimore) 2016; 95:e5470. [PMID: 27902599 PMCID: PMC5134810 DOI: 10.1097/md.0000000000005470] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Liver cancer exhibits geographic and ethnic differences in its prevalence and biology, which implies that it is impractical to develop universal guidelines for all patients. Thus, a meta-analysis was conducted to identify the accuracy of apparent diffusion coefficients (ADCs) for discriminating malignant from benign liver lesions in Asians. METHODS Eligible studies published in PubMed, Ovid, and Embase/Medline were updated onto October 2014. STATA 12.0 and Meta-Disc 1.4 were used to perform this meta-analysis. RESULTS Eight studies comprising 661 benign liver lesions and 598 malignant liver lesions fulfilled all the inclusion criteria. The pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio were 0.88 (95% confidence interval [CI] 0.75-0.95), 0.93 (95% CI 0.86-0.97), 12.42 (95% CI 6.09-25.31), 0.13 (95% CI 0.06-0.29), and 95.58 (95% CI 35.29-258.89), respectively. Overall, the area under the summary receiver-operating characteristic curve was 0.96 (95% CI 0.94-0.98). Heterogeneity was found to originate potentially from the type of benign lesion. A subgroup analysis showed that differentiating between hemangiomas, cysts, and malignant liver lesions produced a significantly higher diagnostic accuracy than that of solid liver lesions. CONCLUSION Our meta-analysis indicated that ADC could be promising for characterizing liver lesions among Asians, indicating that the ADC value is a promising diagnostic criterion candidate. Meanwhile, the use of dual b values could be sufficient for liver lesion characterization. However, large-scale, high-quality trials should be conducted to identify specific standards, including cut-off values for further development of diffusion-weighted imaging as a routine clinical application among Asian populations.
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High-flow haemangiomas versus hypervascular hepatocellular carcinoma showing "pseudo-washout" on gadoxetic acid-enhanced hepatic MRI: value of diffusion-weighted imaging in the differential diagnosis of small lesions. Clin Radiol 2016; 72:247-254. [PMID: 27789027 DOI: 10.1016/j.crad.2016.09.020] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2016] [Revised: 09/20/2016] [Accepted: 09/25/2016] [Indexed: 12/14/2022]
Abstract
AIM To validate the usefulness of diffusion-weighted imaging (DWI) in the differentiation of high-flow haemangiomas showing pseudo-washout appearance on gadoxetic acid-enhanced hepatic MRI from small hypervascular hepatocellular carcinomas (HCCs). MATERIALS AND METHODS DWI (b=50, 800 s/mm2) with apparent diffusion coefficient (ADC) maps for 50 haemangiomas (6.4±2.9 mm) showing intense enhancement on arterial dominant phase imaging and hypointensity on transitional and/or hepatobiliary phase imaging during gadoxetic acid-enhanced MRI were retrospectively analysed and compared with that of 113 hypervascular HCCs (12.8±3.7 mm). In addition to measurement of mean ADC values on DWI and contrast-to-noise ratio (CNR) on corresponding T2-weighted imaging, qualitative analysis of DWI was performed for each lesion by two independent observers using a five-point scale. RESULTS Both of mean ADC value (1.902 versus 0.997×10-3 mm2/s) and mean CNR (119.2 versus 36.9) for haemangioma were significantly larger than for HCC (p<0.001). On receiver operating characteristic (ROC) analysis, an area under the curve (AUC) of 0.995 for ADC values was significantly larger than 0.915 for CNRs (p=0.002). When the ADC value of 1.327×10-3 mm2/s was used as the threshold for the diagnosis of haemangioma, the sensitivity and specificity were 98% and 97.3%, respectively. The mean sensitivity and specificity of qualitative analysis for the differentiation of haemangioma from HCC were 92% and 99.1%, respectively. CONCLUSION For high-flow small haemangiomas showing pseudo-washout appearance during gadoxetic acid-enhanced hepatic MRI, high b-factor DWI including an ADC map may provide additional information to enhance the confidence to exclude small hypervascular HCCs.
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Tang Y, Wang H, Wang Y, Li J, Jia R, Ma L, Ye H. Quantitative comparison of MR diffusion-weighted imaging for liver focal lesions between 3.0T and 1.5T: Regions of interest of the minimum-spot ADC, the largest possible solid part, and the maximum diameter in lesions. J Magn Reson Imaging 2016; 44:1320-1329. [PMID: 27080350 DOI: 10.1002/jmri.25277] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2015] [Accepted: 03/28/2016] [Indexed: 12/16/2022] Open
Affiliation(s)
- Yanhua Tang
- Department of Radiology; Chinese PLA General Hospital; Beijing China
| | - Haiyi Wang
- Department of Radiology; Chinese PLA General Hospital; Beijing China
| | - Yingwei Wang
- Department of Radiology; Chinese PLA General Hospital; Beijing China
| | - Jie Li
- Department of Pathology; Chinese PLA General Hospital; Beijing China
| | - Rui Jia
- Department of Radiology; Chinese PLA General Hospital; Beijing China
| | - Lu Ma
- Department of Radiology; Chinese PLA General Hospital; Beijing China
| | - Huiyi Ye
- Department of Radiology; Chinese PLA General Hospital; Beijing China
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Schüle S, Altendorf-Hofmann A, Dittmar Y, Rauchfuß F, Settmacher U. [Incidence of non-metastatic liver lesions in tumor patients: consequences for chemotherapy and local ablative procedures]. Chirurg 2015; 85:806-11. [PMID: 24449083 DOI: 10.1007/s00104-013-2660-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
INTRODUCTION Even in patients with a history of solid malignant tumors, especially of gastrointestinal origin, newly diagnosed solid liver lesions do not necessarily correspond to metastases of the respective primary tumor. A reliable diagnosis can only be made by definitive histological examination. MATERIAL AND METHODS Data of all patients who underwent liver resection under the preoperative diagnosis of liver metastases between 1997 and 2011 and for whom liver specimens were examined histologically, were extracted from the prospectively maintained cancer registry. RESULTS An unexpected histological result occurred in 47 out of 770 patients (6.1 %). Primary tumors in these patients included renal cell (n=12), colorectal (n=11), breast (n=8), gastric (n=4), pancreatic (n=3), skin (n=3) and other cancers (n=6). Liver lesions were diagnosed synchronously in 15 cases or metachronously after a median of 17 months following primary therapy in 32 patients. Histology revealed a benign tumor in 38 cases (81 %) as well as 6 cases of HCC, 2 cases of CCC and in 1 case metastasis of a previously unknown colorectal cancer in a patient with known esophageal carcinoma. Suspicion of metastatic disease was based on four different imaging modalities in two cases and on three different imaging modalities in nine cases. Either computed tomography (CT) or magnetic resonance imaging (MRI) was combined with ultrasound in another 23 patients and with positron emission tomography (PET) CT in 6 more cases. In two patients CT plus MRI and CT only, respectively, was performed. In the remaining three patients, suspicion of metastases occurred intraoperatively after macroscopic examination of the liver. Preoperative percutaneous biopsy was attempted in four patients with indeterminate results. CONCLUSION Even with modern diagnostics the risk of treating a benign or other form of malignant tumor with neoadjuvant or palliative chemotherapy persists. The same holds true for local ablative procedures. Prior to local ablation or definitive palliative chemotherapy histological confirmation of metastases should be attempted.
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Affiliation(s)
- S Schüle
- Klinik für Allgemein-, Viszeral- und Gefäßchirurgie, Universitätsklinikum Jena, Erlanger Allee 101, 07740, Jena, Deutschland,
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Chen J, Wu M, Liu R, Li S, Gao R, Song B. Preoperative evaluation of the histological grade of hepatocellular carcinoma with diffusion-weighted imaging: a meta-analysis. PLoS One 2015; 10:e0117661. [PMID: 25658359 PMCID: PMC4320049 DOI: 10.1371/journal.pone.0117661] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2014] [Accepted: 12/29/2014] [Indexed: 02/05/2023] Open
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.
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Affiliation(s)
- Jie Chen
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, P. R. China
| | - Mingpeng Wu
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, P. R. China
| | - Rongbo Liu
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, P. R. China
| | - Siyi Li
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, P. R. China
| | - Ronghui Gao
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, P. R. China
| | - Bin Song
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, P. R. China
- * E-mail:
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Yoo RE, Lee JM, Yoon JH, Kim JH, Han JK, Choi BI. Differential diagnosis of benign and malignant distal biliary strictures: Value of adding diffusion-weighted imaging to conventional magnetic resonance cholangiopancreatography. J Magn Reson Imaging 2013; 39:1509-17. [DOI: 10.1002/jmri.24304] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2013] [Accepted: 06/18/2013] [Indexed: 02/01/2023] Open
Affiliation(s)
- Roh-Eul Yoo
- Department of Radiology; Seoul National University College of Medicine; Seoul Korea
| | - Jeong Min Lee
- Department of Radiology; Seoul National University College of Medicine; Seoul Korea
| | - Jeong Hee Yoon
- Department of Radiology; Seoul National University College of Medicine; Seoul Korea
| | - Jung Hoon Kim
- Department of Radiology; Seoul National University College of Medicine; Seoul Korea
| | - Joon Koo Han
- Department of Radiology; Seoul National University College of Medicine; Seoul Korea
| | - Byung Ihn Choi
- Department of Radiology; Seoul National University College of Medicine; Seoul Korea
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Role of C-Arm CT for Transcatheter Arterial Chemoembolization of Hepatocellular Carcinoma: Diagnostic Performance and Predictive Value for Therapeutic Response Compared With Gadoxetic Acid–Enhanced MRI. AJR Am J Roentgenol 2013; 201:675-83. [DOI: 10.2214/ajr.12.10445] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
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