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Maung ST, Tanpowpong N, Satja M, Treeprasertsuk S, Chaiteerakij R. Non-contrast abbreviated MRI for the detection of hepatocellular carcinoma in patients with Liver Imaging Reporting and Data System LR-3 and LR-4 observations in MRI. Br J Radiol 2024; 97:1671-1682. [PMID: 39115388 PMCID: PMC11417374 DOI: 10.1093/bjr/tqae140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2024] [Revised: 07/17/2024] [Accepted: 08/05/2024] [Indexed: 09/25/2024] Open
Abstract
BACKGROUND AND AIMS With ultrasound sensitivity limited in hepatocellular carcinoma (HCC) surveillance and few prospective studies on non-contrast abbreviated MRI (NC-AMRI), this study aimed to assess its diagnostic performance in detecting HCC. METHODS This prospective study involved cirrhotic patients with contrast-enhanced MRI (CE-MRI) Liver Imaging Reporting and Data System (LI-RADS) LR-3 and LR-4 observations detected during HCC surveillance. Patients underwent average 3 complete CE-MRI rounds at 3-6 months interval, with approximately 12-month follow-up. NC-AMRI included diffusion-weighted (DWI), T2-weighted imaging (T2WI), and T1-weighted imaging (T1WI). NC-AMRI protocol images were analysed for diagnostic performance, with subgroup analyses. CE-MRI and NC-AMRI images were independently reviewed by 2 experienced radiologists, with inter-reader agreement assessed with Kappa coefficient. The reference standard was the American Association for the Study of Liver Diseases-defined presence of arterial hypervascularity and washout during the portal-venous or delayed phases on CE-MRI. RESULTS In 166 CE-MRI follow-ups of 63 patients (median age: 63 years; 60.3% male, 39.7% female), 12 patients developed HCC, with average size of 19.6 mm. The NC-AMRI (DWI + T2WI + T1WI) showed 91.7% sensitivity (95%CI, 61.5-99.8) and 91.6% specificity (95%CI, 86.0-95.4), area under receiver operating characteristic 0.92 (95%CI, 0.83-1.00). Across different Body Mass Index categories, lesion size, Child-Turcotte-Pugh classes, Albumin-Bilirubin (ALBI) grades, and Model for End-Stage Liver Disease classes, sensitivity remained consistent. However, specificity differed significantly between ALBI grade 1 and 2 (86.7% vs. 98.4%, P = .010), and between viral and non-viral cirrhosis (93.8% vs. 80.8%, P = .010). CONCLUSIONS NC-AMRI proved clinically feasible, and exhibits high diagnostic performance in HCC detection. ADVANCES IN KNOWLEDGE This study highlights efficacy of NC-AMRI in detecting HCC among cirrhotic patients with LR-3 and LR-4 observations, representing significant progress in HCC surveillance.
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Affiliation(s)
- Soe Thiha Maung
- Division of Gastroenterology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
- Program in Clinical Sciences (International Program), Graduate Affairs, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
- Department of Clinical Services, Ma Har Myaing Hospital, 308, Pyay Road, Sanchaung Township, Yangon, 11111, Myanmar
| | - Natthaporn Tanpowpong
- Division of Diagnostic Radiology, Department of Radiology, Faculty of Medicine, King Chulalongkorn Memorial Hospital, Bangkok, 10330, Thailand
| | - Minchanat Satja
- Division of Diagnostic Radiology, Department of Radiology, Faculty of Medicine, King Chulalongkorn Memorial Hospital, Bangkok, 10330, Thailand
| | - Sombat Treeprasertsuk
- Division of Gastroenterology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Roongruedee Chaiteerakij
- Division of Gastroenterology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
- Center of Excellence for Innovation and Endoscopy in Gastrointestinal Oncology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
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Maung ST, Tanpowpong N, Satja M, Treeprasertsuk S, Chaiteerakij R. MRI for hepatocellular carcinoma and the role of abbreviated MRI for surveillance of hepatocellular carcinoma. J Gastroenterol Hepatol 2024; 39:1969-1981. [PMID: 38899804 DOI: 10.1111/jgh.16643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Revised: 05/16/2024] [Accepted: 05/24/2024] [Indexed: 06/21/2024]
Abstract
INTRODUCTION Hepatocellular carcinoma (HCC) constitutes the majority of liver cancers and significantly impacts global cancer mortality. While ultrasound (US) with or without alpha-fetoprotein is the mainstay for HCC surveillance, its limitations highlight the necessity for more effective surveillance tools. Therefore, this review explores evolving imaging modalities and abbreviated magnetic resonance imaging (MRI) (AMRI) protocols as promising alternatives, addressing challenges in HCC surveillance. AREAS COVERED This comprehensive review delves into the evaluation and challenges of HCC surveillance tools, focusing on non-contrast abbreviated MRI (NC-AMRI) and contrast-enhanced abbreviated MRI protocols. It covers the implementation of AMRI for HCC surveillance, patient preferences, adherence, and strategies for optimizing cost-effectiveness. Additionally, the article provides insights into prospects for HCC surveillance by summarizing meta-analyses, prospective studies, and ongoing clinical trials evaluating AMRI protocols. EXPERT OPINION The opinions underscore the transformative impact of AMRI on HCC surveillance, especially in overcoming US limitations. Promising results from NC-AMRI protocols indicate its potential for high-risk patient surveillance, though prospective studies in true surveillance settings are essential for validation. Future research should prioritize risk-stratified AMRI protocols and address cost-effectiveness for broader clinical implementation, alongside comparative analyses with US for optimal surveillance strategies.
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Affiliation(s)
- Soe Thiha Maung
- Division of Gastroenterology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Ma Har Myaing Hospital, Yangon, Myanmar
| | - Natthaporn Tanpowpong
- Division of Diagnostic Radiology, Department of Radiology, Faculty of Medicine, Chulalongkorn University, King Chulalongkorn Memorial Hospital, Bangkok, Thailand
| | - Minchanat Satja
- Division of Diagnostic Radiology, Department of Radiology, Faculty of Medicine, Chulalongkorn University, King Chulalongkorn Memorial Hospital, Bangkok, Thailand
| | - Sombat Treeprasertsuk
- Division of Gastroenterology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Roongruedee Chaiteerakij
- Division of Gastroenterology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Center of Excellence for Innovation and Endoscopy in Gastrointestinal Oncology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
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Mao HY, Shen BQ, Zhang JY, Zhang T, Cai W, Fan YF, Wang XM, Yu YX, Hu CH. Gd-EOB-DTPA enhanced MRI nomogram model to differentiate hepatocellular carcinoma and focal nodular hyperplasia both showing iso- or hyperintensity in the hepatobiliary phase. BMC Med Imaging 2024; 24:211. [PMID: 39134943 PMCID: PMC11320848 DOI: 10.1186/s12880-024-01382-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2024] [Accepted: 07/29/2024] [Indexed: 08/15/2024] Open
Abstract
BACKGROUND To develop and validate a nomogram model based on Gd-EOB-DTPA enhanced MRI for differentiation between hepatocellular carcinoma (HCC) and focal nodular hyperplasia (FNH) showing iso- or hyperintensity in the hepatobiliary phase (HBP). METHODS A total of 75 patients with 49 HCCs and 26 FNHs randomly divided into a training cohort (n = 52: 34 HCC; 18 FNH) and an internal validation cohort (n = 23: 15 HCC; 8 FNH). A total of 37 patients (n = 37: 25 HCC; 12 FNH) acted as an external test cohort. The clinical and imaging characteristics between HCC and FNH groups in the training cohort were compared. The statistically significant parameters were included into the FAE software, and a multivariate logistic regression classifier was used to identify independent predictors and establish a nomogram model. Receiver operating characteristic (ROC) curves were used to evaluate the prediction ability of the model, while the calibration and decision curves were used for model validation. Subanalysis was used to compare qualitative and quantitative characteristics of patients with chronic hepatitis and cirrhosis between the HCC and FNH groups. RESULTS In the training cohort, gender, age, enhancement rate in the arterial phase (AP), focal defects in uptake were significant predictors for HCC showing iso- or hyperintensity in the HBP. In the training cohort, area under the curve (AUC), sensitivity and specificity of the nomogram model were 0.989(95%CI: 0.967-1.000), 97.1% and 94.4%. In the internal validation cohort, the above three indicators were 0.917(95%CI: 0.782-1.000), 93.3% and 87.5%. In the external test cohort, the above three indicators were 0.960(95%CI: 0.905-1.000), 84.0% and 100.0%. The results of subanalysis showed that age was the independent predictor in the patients with chronic hepatitis and cirrhosis between HCC and FNH groups. CONCLUSIONS Gd-EOB-DTPA enhanced MRI nomogram model may be useful for discriminating HCC and FNH showing iso- or hyperintensity in the HBP before surgery.
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Affiliation(s)
- Hao-Yu Mao
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Bin-Qing Shen
- School of Radiation Medicine and Protection, Soochow University, Suzhou, China
| | - Ji-Yun Zhang
- Department of Radiology, Affiliated Nantong Hospital 3 of Nantong University, Nantong, China
| | - Tao Zhang
- Department of Radiology, Affiliated Nantong Hospital 3 of Nantong University, Nantong, China
| | - Wu Cai
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Yan-Fen Fan
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Xi-Ming Wang
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Yi-Xing Yu
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China.
| | - Chun-Hong Hu
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China.
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Maung ST, Deepan N, Decharatanachart P, Chaiteerakij R. Abbreviated MRI for Hepatocellular Carcinoma Surveillance - A Systematic Review and Meta-analysis. Acad Radiol 2024; 31:3142-3156. [PMID: 38413315 DOI: 10.1016/j.acra.2024.01.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 01/18/2024] [Accepted: 01/22/2024] [Indexed: 02/29/2024]
Abstract
BACKGROUND Given the limited sensitivity of ultrasound in hepatocellular carcinoma (HCC) surveillance, this systematic review and meta-analysis were aimed to assess the diagnostic performance of non-contrast abbreviated MRI (NC-aMRI) compared to contrast-enhanced abbreviated MRI (CE-aMRI) for HCC surveillance, offering evidence-based guidance for clinical decision-making. METHODS A comprehensive search was conducted across five databases, identifying studies on aMRI for HCC surveillance. The pooled sensitivity and specificity were estimated using a random effects model. Subgroup analyses and meta-regression were performed by study location, proportion of patients with cirrhosis and HCC, and underlying liver diseases. RESULTS The meta-analysis included 27 studies (2009-2023), distributed between Western (n = 14) and Eastern (n = 13) countries. The pooled sensitivity and specificity (95%CI, I2) were 86% (83-88%, 63%) and 92% (90%-94%, 74%). The NC-aMRI protocols reported in 21 studies exhibited 83% (79-87%, 63%) sensitivity and 91% (88-93%, 67%) specificity, while the 15 studies on CE-aMRI protocols displayed 88% (84-91%, 64%) sensitivity and 94% (90-96%, 78%) specificity, with no statistically significant differences in sensitivity (p = 0.078) or specificity (p = 0.157). Subgroup analysis in NC-aMRI studies showed significant differences in sensitivity for high-prevalent chronic hepatitis B (87% vs. 78%, p = 0.003) and studies done in eastern countries (86% vs. 76%, p = 0.018). Additionally, specificity showed significant differences for high-prevalent chronic hepatitis C (94% vs. 90%, p = 0.009), with meta-regression identifying major sources of study heterogeneity as the inclusion of a majority of patients with chronic hepatitis B (p = 0.008) and the geographic regions where studies were conducted (p = 0.030). CONCLUSION Surveillance aMRI protocols exhibit satisfactory performance for detecting HCC. NC-aMRI may be used effectively for HCC surveillance, especially in chronic hepatitis B prevalent settings.
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Affiliation(s)
- Soe Thiha Maung
- Division of Gastroenterology, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, 1873 Rama IV Road, Patumwan, Bangkok, Thailand; Ma Har Myaing Hospital, Yangon, Myanmar
| | - Natee Deepan
- Division of Academic Affairs, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | | | - Roongruedee Chaiteerakij
- Division of Gastroenterology, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, 1873 Rama IV Road, Patumwan, Bangkok, Thailand; Center of Excellence for Innovation and Endoscopy in Gastrointestinal Oncology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
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Zong X, Li M, Li J, Chen Q, Shi A, Gao X, Guo R. Mean ADC values and arterial phase hyperintensity discriminate small (≤ 3 cm) well-differentiated hepatocellular carcinoma from dysplastic nodule. Abdom Radiol (NY) 2024; 49:1132-1143. [PMID: 38289351 DOI: 10.1007/s00261-023-04171-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Revised: 12/17/2023] [Accepted: 12/19/2023] [Indexed: 03/22/2024]
Abstract
BACKGROUND/AIM This research endeavor sought to distinguish small (≤ 3 cm) well-differentiated hepatocellular carcinoma (WD-HCC) from dysplastic nodules (DN) by employing traditional imaging features and mean apparent diffusion coefficient (mADC) values derived from diffusion-weighted imaging (DWI). MATERIALS AND METHODS In this retrospective analysis, we assessed a cohort of ninety patients with confirmed dysplastic nodules (DNs) (n = 71) or well-differentiated hepatocellular carcinoma (WD-HCC) (n = 41) who had undergone dynamic contrast-enhanced magnetic resonance imaging between March 2018 and June 2021. Multivariable logistic regression analyses were executed to pinpoint characteristics that can effectively differentiate histologic grades. A region-of-interest (ROI) encompassing all lesion voxels was delineated on each slice containing the mass in the ADC map. Subsequently, the whole-lesion mean ADC (mADC) were computed from these delineations. A receiver operating characteristic (ROC) curve was generated to assess the discriminatory efficacy of the mADC values in distinguishing between WD-HCC and DN. RESULTS Among the histopathological types from benign to malignant, mADC showed a significant decrease (P < 0.001). The mADCs were effective in distinguishing WD-HCC from DN [AUC, 0.903 (95% CI 0.849-0.958)]. The best cutoffs for the Youden index were 0.0012 mm2/s for mADC, with moderate sensitivity (70.7%) and high specificity (94.4%). MRI features including hyperintensity at arterial phase (odds ratio, 21.2; P = 0.009), mADC < 0.0012 mm2/s (odds ratio, 52.2; P < 0.001) were independent predictors for WD-HCC at multivariable analysis. The AUC value of hyperintensity at arterial phase was 0.857 (95% CI 0.786-0.928). The composite diagnostic criterion of arterial hyperintensity + mADC < 0.0012 mm2/s showed good performance [AUC, 0.926 (95% CI 0.878-0.975)], displaying increased sensitivity compared to individual assessments involving arterial hyperintensity (P = 0.013), mADC < 0.0012 mm2/s (P = 0.004), or LR-5 (P < 0.001), with similar specificity compared to LR-5 (P = 0.193). CONCLUSION DN and WD-HCC displayed contrasting diffusion characteristics, attainable to distinguish with satisfactory accuracy. The utilization of arterial phase hyperintensity and mADC < 0.0012 on MRI facilitated the differentiation of WD-HCC from DN.
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Affiliation(s)
- Xiaodan Zong
- Department of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510630, China
| | - Mingkai Li
- Department of Gastroenterology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510630, China
| | - Jianwen Li
- Department of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510630, China
| | - Qilong Chen
- Department of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510630, China
| | - Anping Shi
- Department of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510630, China
| | - Xin Gao
- Department of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510630, China
| | - Ruomi Guo
- Department of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510630, China.
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Brandi N, Renzulli M. Liver Lesions at Risk of Transformation into Hepatocellular Carcinoma in Cirrhotic Patients: Hepatobiliary Phase Hypointense Nodules without Arterial Phase Hyperenhancement. J Clin Transl Hepatol 2024; 12:100-112. [PMID: 38250460 PMCID: PMC10794268 DOI: 10.14218/jcth.2023.00130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 07/04/2023] [Accepted: 07/25/2023] [Indexed: 01/23/2024] Open
Abstract
Recent technical advances in liver imaging and surveillance for patients at high risk for developing hepatocellular carcinoma (HCC) have led to an increase in the detection of borderline hepatic nodules in the gray area of multistep carcinogenesis, particularly in those that are hypointense at the hepatobiliary phase (HBP) and do not show arterial phase hyperenhancement. Given their potential to transform and advance into hypervascular HCC, these nodules have progressively attracted the interest of the scientific community. To date, however, no shared guidelines have been established for the decision management of these borderline hepatic nodules. It is therefore extremely important to identify features that indicate the malignant potential of these nodules and the likelihood of vascularization. In fact, a more complete knowledge of their history and evolution would allow outlining shared guidelines for their clinical-surgical management, to implement early treatment programs and decide between a preventive curative treatment or a watchful follow-up. This review aims to summarize the current knowledge on hepatic borderline nodules, particularly focusing on those imaging features which are hypothetically correlated with their malignant evolution, and to discuss current guidelines and ongoing management in clinical practice.
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Affiliation(s)
- Nicolò Brandi
- Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Matteo Renzulli
- Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
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Wang JH, Qiu QS, Dong SY, Chen XS, Wang WT, Yang YT, Sun W, Rao SX. Diagnostic performance of gadoxetic acid-enhanced abbreviated magnetic resonance imaging protocol in small hepatocellular carcinoma (≤2 cm) in high-risk patients. Acta Radiol 2023; 64:2687-2696. [PMID: 37691270 DOI: 10.1177/02841851231195567] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
BACKGROUND Biannual Ultrasound showed insufficient sensitivity in detecting small or early-stage hepatocellular carcinoma (HCC). Abbreviated magnetic resonance imaging (A-MRI) protocols with fewer sequences demonstrated higher HCC detection sensitivity than ultrasound with acceptable cost and examination time. PURPOSE To compare the diagnostic performance of gadoxetic acid-enhanced A-MRI with a full sequence MRI (F-MRI) protocol for small HCC (≤2 cm) in cirrhotic or hepatitis B virus-infected high-risk patients. MATERIAL AND METHODS Two hundred and four consecutive patients with 166 pathologically confirmed small HCC who underwent preoperative gadoxetic acid-enhanced MRI were retrospectively included. A-MRI set comprised T1-weighted hepatobiliary phase imaging, T2-weighted imaging, diffusion-weighted imaging and apparent diffusion coefficient mapping. Two independent radiologists blinded to clinical data assessed the A-MRI set and F-MRI set. Per-patient HCC and per-lesion HCC diagnostic performance were compared. RESULTS Per-patient HCC detection sensitivity of A-MRI set was 93.8% and 91.2% for observer 1 and observer 2, and, for the F-MRI set, the per-patient HCC detection sensitivity was 96.6% and 95.2%, respectively. There was no significant difference in per-patient sensitivity, specificity and per-lesion HCC detection sensitivity between the two imaging sets for both readers. (P = 0.06-0.25) The A-MRI set showed higher sensitivity on HCC without arterial phase hyperenhancement, and the F-MRI set demonstrated with higher sensitivity on HCC with arterial phase hyperenhancement (P < 0.05). CONCLUSION A-MRI using diagnostic criteria including hypointensity on hepatobiliary phase plus mild to moderate hyperintensity on T2-weighted imaging or restricted diffusion demonstrated comparable sensitivity and specificity for small HCC compared to the F-MRI protocol in high-risk patients.
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Affiliation(s)
- Jia-Hui Wang
- Shanghai Institute of Medical Imaging, Shanghai, China
- Department of Radiology, Zhongshan Hospital Fudan University, Shanghai, China
| | - Qian-Sai Qiu
- Shanghai Institute of Medical Imaging, Shanghai, China
- Department of Radiology, Zhongshan Hospital Fudan University, Shanghai, China
| | - San-Yuan Dong
- Shanghai Institute of Medical Imaging, Shanghai, China
- Department of Radiology, Zhongshan Hospital Fudan University, Shanghai, China
| | - Xiao-Shan Chen
- Shanghai Institute of Medical Imaging, Shanghai, China
- Department of Radiology, Zhongshan Hospital Fudan University, Shanghai, China
| | - Wen-Tao Wang
- Shanghai Institute of Medical Imaging, Shanghai, China
- Department of Radiology, Zhongshan Hospital Fudan University, Shanghai, China
| | - Yu-Tao Yang
- Shanghai Institute of Medical Imaging, Shanghai, China
- Department of Radiology, Zhongshan Hospital Fudan University, Shanghai, China
| | - Wei Sun
- Department of Radiology, Zhongshan Hospital Fudan University, Shanghai, China
| | - Sheng-Xiang Rao
- Shanghai Institute of Medical Imaging, Shanghai, China
- Department of Radiology, Zhongshan Hospital Fudan University, Shanghai, China
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Corallo C, Bell J, Laverty A, Mohsin M, Prasad R, Albazaz R. Suspected focal nodular hyperplasia in male adults: 10-year experience from a large liver centre. Abdom Radiol (NY) 2023; 48:2292-2301. [PMID: 37043025 DOI: 10.1007/s00261-023-03896-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 03/20/2023] [Accepted: 03/21/2023] [Indexed: 04/13/2023]
Abstract
PURPOSE Focal nodular hyperplasia (FNH) is commonly found in females of reproductive age. In males, the diagnosis is made more cautiously due to its lower incidence and higher incidence of hepatocellular carcinoma, which can have overlapping imaging features. Follow-up or biopsy is sometimes required. This retrospective study aims to assess management of suspected FNH in male adult patients at our institution over a 10-year period. METHODS Male adults (≥ 18 years) suspected of having FNH from January 2010-June 2020 were identified using a departmental radiology information system search. Data was collected from radiology reports and patient pathway manager. RESULTS Of 342 patients with suspected FNH, 62 were male (18.1%; F:M of 4.5:1). We only included patients investigated and followed up by MRI, total of 57 patients. Median age was 40 years (range 18-74 years). Background liver disease present in 21/57 (36.8%), majority with hepatic steatosis. Average number of lesions per patient 1.7. 22/57 (38.6%) had at least one MRI follow-up using liver-specific contrast with 7 lesions demonstrating variation in size (range growth: -3.27 mm/year to + 4 mm/year). In 7 cases, MRI was not definitive; 6 required biopsy and 1 resection. Only 2/7 demonstrated malignancy. Of the total 57 patients, 6 have deceased and none due to a misdiagnosed or mismanaged hepatic lesion. CONCLUSION FNH is relatively uncommon in males, however, our data suggests that lesions with typical MRI characteristics do not require follow-up and diagnosis can be made confidently, similar to females. Any atypical features should prompt a biopsy.
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Affiliation(s)
- Carmelo Corallo
- Department of Radiology, Leeds Teaching Hospitals NHS Trust, St. James's University Hospital, Beckett Street Harehills, Leeds, LS9 7TF, UK.
| | - Joshua Bell
- Department of Radiology, Leeds Teaching Hospitals NHS Trust, St. James's University Hospital, Beckett Street Harehills, Leeds, LS9 7TF, UK
| | - Adam Laverty
- Department of Radiology, Leeds Teaching Hospitals NHS Trust, St. James's University Hospital, Beckett Street Harehills, Leeds, LS9 7TF, UK
| | - Maryam Mohsin
- Department of Radiology, Leeds Teaching Hospitals NHS Trust, St. James's University Hospital, Beckett Street Harehills, Leeds, LS9 7TF, UK
| | - Raj Prasad
- Department of Hepatobiliary and Transplant Surgery, Leeds Teaching Hospitals NHS Trust, St. James's University Hospital, Leeds, UK
| | - Raneem Albazaz
- Department of Radiology, Leeds Teaching Hospitals NHS Trust, St. James's University Hospital, Beckett Street Harehills, Leeds, LS9 7TF, UK
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Tadimalla S, Wang W, Haworth A. Role of Functional MRI in Liver SBRT: Current Use and Future Directions. Cancers (Basel) 2022; 14:cancers14235860. [PMID: 36497342 PMCID: PMC9739660 DOI: 10.3390/cancers14235860] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Revised: 11/23/2022] [Accepted: 11/24/2022] [Indexed: 11/30/2022] Open
Abstract
Stereotactic body radiation therapy (SBRT) is an emerging treatment for liver cancers whereby large doses of radiation can be delivered precisely to target lesions in 3-5 fractions. The target dose is limited by the dose that can be safely delivered to the non-tumour liver, which depends on the baseline liver functional reserve. Current liver SBRT guidelines assume uniform liver function in the non-tumour liver. However, the assumption of uniform liver function is false in liver disease due to the presence of cirrhosis, damage due to previous chemo- or ablative therapies or irradiation, and fatty liver disease. Anatomical information from magnetic resonance imaging (MRI) is increasingly being used for SBRT planning. While its current use is limited to the identification of target location and size, functional MRI techniques also offer the ability to quantify and spatially map liver tissue microstructure and function. This review summarises and discusses the advantages offered by functional MRI methods for SBRT treatment planning and the potential for adaptive SBRT workflows.
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Affiliation(s)
- Sirisha Tadimalla
- Institute of Medical Physics, School of Physics, Faculty of Science, The University of Sydney, Camperdown, NSW 2006, Australia
- Correspondence:
| | - Wei Wang
- Crown Princess Mary Cancer Centre, Sydney West Radiation Oncology Network, Western Sydney Local Health District, Sydney, NSW 2145, Australia
| | - Annette Haworth
- Institute of Medical Physics, School of Physics, Faculty of Science, The University of Sydney, Camperdown, NSW 2006, Australia
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Multi-phase contrast-enhanced magnetic resonance image-based radiomics-combined machine learning reveals microscopic ultra-early hepatocellular carcinoma lesions. Eur J Nucl Med Mol Imaging 2022; 49:2917-2928. [PMID: 35230493 PMCID: PMC9206604 DOI: 10.1007/s00259-022-05742-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Accepted: 02/17/2022] [Indexed: 12/17/2022]
Abstract
Purpose
This study aimed to investigate whether models built from radiomics features based on multiphase contrast-enhanced MRI can identify microscopic pre-hepatocellular carcinoma lesions. Methods We retrospectively studied 54 small hepatocellular carcinoma (SHCC, diameter < 2 cm) patients and 70 patients with hepatocellular cysts or haemangiomas from September 2018 to June 2021. For the former, two MRI scans were collected within 12 months of each other; the 2nd scan was used to confirm the diagnosis. The volumes of interest (VOIs), including SHCCs and normal liver tissues, were delineated on the 2nd scans, mapped to the 1st scans via image registration, and enrolled into the SHCC and internal-control cohorts, respectively, while those of normal liver tissues from patients with hepatocellular cysts or haemangioma were enrolled in the external-control cohort. We extracted 1132 radiomics features from each VOI and analysed their discriminability between the SHCC and internal-control cohorts for intra-group classification and the SHCC and external-control cohorts for inter-group classification. Five radial basis-function, kernel-based support vector machine (SVM) models (four corresponding single-phase models and one integrated from the four-phase MR images) were established. Results Among the 124 subjects, the multiphase models yielded better performance on the testing set for intra-group and inter-group classification, with areas under the receiver operating characteristic curves of 0.93 (95% CI, 0.85–1.00) and 0.97 (95% CI, 0.92–1.00), accuracies of 86.67% and 94.12%, sensitivities of 87.50% and 94.12%, and specificities of 85.71% and 94.12%, respectively. Conclusion The combined multiphase MRI-based radiomics feature model revealed microscopic pre-hepatocellular carcinoma lesions. Supplementary Information The online version contains supplementary material available at 10.1007/s00259-022-05742-8.
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Kim TH, Woo S, Han S, Suh CH, Do RKG, Lee JM. Risk Factors for Hypervascularization in Hepatobiliary Phase Hypointense Nodules without Arterial Phase Hyperenhancement: A Systematic Review and Meta-analysis. Acad Radiol 2022; 29:198-210. [PMID: 32962925 PMCID: PMC9115668 DOI: 10.1016/j.acra.2020.08.031] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Revised: 08/16/2020] [Accepted: 08/20/2020] [Indexed: 02/06/2023]
Abstract
RATIONALE AND OBJECTIVES To perform a systematic review and meta-analysis to determine risk factors for hypervascularization in hepatobiliary phase (HBP) hypointense nodules without arterial phase hyperenhancement (APHE) in patients with hepatocellular carcinoma (HCC). MATERIALS AND METHODS Pubmed and EMBASE databases were searched up to May 7, 2020. Studies which evaluated radiologic and clinical risk factors for hypervascularization in HBP hypointense nodules without APHE were included. Hazard ratios were meta-analytically pooled using random-effects model. Methodological quality of included studies was assessed using Quality in Prognostic Studies (QUIPS) tool. RESULTS Sixteen studies with 934 patients were included. HBP hypointense nodules without APHE with baseline size greater than 10 mm, T2 hyperintensity, and restricted diffusion showed risk for hypervascularization with pooled HRs of 2.95 (95% confidence interval [CI], 1.94-4.20), 4.21 (95% CI, 1.15-15.40), 5.83 (95% CI, 1.42-23.95), respectively. Previous HCC history contributed to hypervascularization of the nodules with hazard ratio of 2.06 (95% CI, 1.23-3.44). T1 hyperintensity, intralesional fat, Child-Pugh Class B, sex, alfa-fetoprotein, hepatitis B or C infection were not significant risk factors for hypervascularization (p ≥0.05). Study quality was generally moderate. CONCLUSION HBP hypointense nodules without APHE on gadoxetic acid-enhanced MRI with baseline size greater than 10 mm, T2 hyperintensity, restricted diffusion and previous hepatocellular carcinoma history pose higher risk for hypervascularization. Proper patient management in patients with HBP hypointense nodules without APHE on gadoxetic acid-enhanced MRI may need to be tailored according to these risk factors.
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Granata V, Grassi R, Fusco R, Belli A, Cutolo C, Pradella S, Grazzini G, La Porta M, Brunese MC, De Muzio F, Ottaiano A, Avallone A, Izzo F, Petrillo A. Diagnostic evaluation and ablation treatments assessment in hepatocellular carcinoma. Infect Agent Cancer 2021; 16:53. [PMID: 34281580 PMCID: PMC8287696 DOI: 10.1186/s13027-021-00393-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2021] [Accepted: 07/06/2021] [Indexed: 02/07/2023] Open
Abstract
This article provides an overview of diagnostic evaluation and ablation treatment assessment in Hepatocellular Carcinoma (HCC). Only studies, in the English language from January 2010 to January 202, evaluating the diagnostic tools and assessment of ablative therapies in HCC patients were included. We found 173 clinical studies that satisfied the inclusion criteria.HCC may be noninvasively diagnosed by imaging findings. Multiphase contrast-enhanced imaging is necessary to assess HCC. Intravenous extracellular contrast agents are used for CT, while the agents used for MRI may be extracellular or hepatobiliary. Both gadoxetate disodium and gadobenate dimeglumine may be used in hepatobiliary phase imaging. For treatment-naive patients undergoing CT, unenhanced imaging is optional; however, it is required in the post treatment setting for CT and all MRI studies. Late arterial phase is strongly preferred over early arterial phase. The choice of modality (CT, US/CEUS or MRI) and MRI contrast agent (extracelllar or hepatobiliary) depends on patient, institutional, and regional factors. MRI allows to link morfological and functional data in the HCC evaluation. Also, Radiomics is an emerging field in the assessment of HCC patients.Postablation imaging is necessary to assess the treatment results, to monitor evolution of the ablated tissue over time, and to evaluate for complications. Post- thermal treatments, imaging should be performed at regularly scheduled intervals to assess treatment response and to evaluate for new lesions and potential complications.
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Affiliation(s)
- Vincenza Granata
- Division of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale - IRCCS di Napoli, Naples, Italy
| | - Roberta Grassi
- Division of Radiology, Università degli Studi della Campania Luigi Vanvitelli, Naples, Italy
- Italian Society of Medical and Interventional Radiology SIRM, SIRM Foundation, Milan, Italy
| | | | - Andrea Belli
- Division of Hepatobiliary Surgical Oncology, Istituto Nazionale Tumori IRCCS Fondazione Pascale - IRCCS di Napoli, Naples, Italy
| | - Carmen Cutolo
- Department of Medicine, Surgery and Dentistry, University of Salerno, Salerno, Italy
| | - Silvia Pradella
- Radiology Division, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy
| | - Giulia Grazzini
- Radiology Division, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy
| | | | - Maria Chiara Brunese
- Department of Medicine and Health Sciences "Vincenzo Tiberio", University of Molise, Campobasso, Italy
| | - Federica De Muzio
- Department of Medicine and Health Sciences "Vincenzo Tiberio", University of Molise, Campobasso, Italy
| | - Alessandro Ottaiano
- Abdominal Oncology Division, Istituto Nazionale Tumori IRCCS Fondazione Pascale - IRCCS di Napoli, Naples, Italy
| | - Antonio Avallone
- Abdominal Oncology Division, Istituto Nazionale Tumori IRCCS Fondazione Pascale - IRCCS di Napoli, Naples, Italy
| | - Francesco Izzo
- Division of Hepatobiliary Surgical Oncology, Istituto Nazionale Tumori IRCCS Fondazione Pascale - IRCCS di Napoli, Naples, Italy
| | - Antonella Petrillo
- Division of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale - IRCCS di Napoli, Naples, Italy
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Ding Z, Lin K, Fu J, Huang Q, Fang G, Tang Y, You W, Lin Z, Lin Z, Pan X, Zeng Y. An MR-based radiomics model for differentiation between hepatocellular carcinoma and focal nodular hyperplasia in non-cirrhotic liver. World J Surg Oncol 2021; 19:181. [PMID: 34154624 PMCID: PMC8215802 DOI: 10.1186/s12957-021-02266-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Accepted: 05/18/2021] [Indexed: 12/23/2022] Open
Abstract
Purpose We aimed to develop and validate a radiomics model for differentiating hepatocellular carcinoma (HCC) from focal nodular hyperplasia (FNH) in non-cirrhotic livers using Gd-DTPA contrast-enhanced magnetic resonance imaging (MRI). Methods We retrospectively enrolled 149 HCC and 75 FNH patients treated between May 2015 and May 2019 at our center. Patients were randomly allocated to a training (n=156) and validation set (n=68). In total, 2260 radiomics features were extracted from the arterial phase and portal venous phase of Gd-DTPA contrast-enhanced MRI. Using Max-Relevance and Min-Redundancy, random forest, least absolute shrinkage, and selection operator algorithm for dimensionality reduction, multivariable logistic regression was used to build the radiomics model. A clinical model and combined model were also established. The diagnostic performance of the models was compared. Results Eight radiomics features were chosen for the radiomics model, and four clinical factors (age, sex, HbsAg, and enhancement pattern) were chosen for the clinical model. A combined model was built using the factors from the previous models. The classification accuracy of the combined model differentiated HCC from FNH in both the training and validation sets (0.956 and 0.941, respectively). The area under the receiver operating characteristic curve of the combined model was significantly better than that of the clinical model for both the training (0.984 vs. 0.937, p=0.002) and validation (0.972 vs. 0.903, p=0.032) sets. Conclusions The combined model provided a non-invasive quantitative method for differentiating HCC from FNH in non-cirrhotic liver with high accuracy. Our model may assist clinicians in the clinical decision-making process.
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Affiliation(s)
- Zongren Ding
- Department of Hepatopancreatobiliary Surgery, Mengchao Hepatobiliary Hospital of Fujian Medical University, Xihong Road 312, Fuzhou, 350025, China.,The Big Data Institute of Southeast Hepatobiliary Health Information, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, China
| | - Kongying Lin
- Department of Hepatopancreatobiliary Surgery, Mengchao Hepatobiliary Hospital of Fujian Medical University, Xihong Road 312, Fuzhou, 350025, China.,The Big Data Institute of Southeast Hepatobiliary Health Information, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, China
| | - Jun Fu
- Department of Hepatopancreatobiliary Surgery, Mengchao Hepatobiliary Hospital of Fujian Medical University, Xihong Road 312, Fuzhou, 350025, China.,The Big Data Institute of Southeast Hepatobiliary Health Information, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, China
| | - Qizhen Huang
- Department of Hepatopancreatobiliary Surgery, Mengchao Hepatobiliary Hospital of Fujian Medical University, Xihong Road 312, Fuzhou, 350025, China.,The Big Data Institute of Southeast Hepatobiliary Health Information, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, China
| | - Guoxu Fang
- Department of Hepatopancreatobiliary Surgery, Mengchao Hepatobiliary Hospital of Fujian Medical University, Xihong Road 312, Fuzhou, 350025, China.,The Big Data Institute of Southeast Hepatobiliary Health Information, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, China
| | - Yanyan Tang
- Department of Radiology, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, China
| | - Wuyi You
- Department of Radiology, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, China
| | - Zhaowang Lin
- Department of Radiology, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, China
| | - Zhan Lin
- Department of Radiology, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, China
| | - Xingxi Pan
- Department of Oncology, Nanhai Hospital Affiliated to Southern Medical University, Foshan, 528000, China
| | - Yongyi Zeng
- Department of Hepatopancreatobiliary Surgery, Mengchao Hepatobiliary Hospital of Fujian Medical University, Xihong Road 312, Fuzhou, 350025, China.
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Kovac JD, Ivanovic A, Milovanovic T, Micev M, Alessandrino F, Gore RM. An overview of hepatocellular carcinoma with atypical enhancement pattern: spectrum of magnetic resonance imaging findings with pathologic correlation. Radiol Oncol 2021; 55:130-143. [PMID: 33544992 PMCID: PMC8042819 DOI: 10.2478/raon-2021-0004] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Accepted: 12/15/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND In the setting of cirrhotic liver, the diagnosis of hepatocellular carcinoma (HCC) is straightforward when typical imaging findings consisting of arterial hypervascularity followed by portal-venous washout are present in nodules larger than 1 cm. However, due to the complexity of hepatocarcinogenesis, not all HCCs present with typical vascular behaviour. Atypical forms such as hypervascular HCC without washout, isovascular or even hypovascular HCC can pose diagnostic dilemmas. In such cases, it is important to consider also the appearance of the nodules on diffusion-weighted imaging and hepatobiliary phase. In this regard, diffusion restriction and hypointensity on hepatobiliary phase are suggestive of malignancy. If both findings are present in hypervascular lesion without washout, or even in iso- or hypovascular lesion in cirrhotic liver, HCC should be considered. Moreover, other ancillary imaging findings such as the presence of the capsule, fat content, signal intensity on T2-weighted image favour the diagnosis of HCC. Another form of atypical HCCs are lesions which show hyperintensity on hepatobiliary phase. Therefore, the aim of the present study was to provide an overview of HCCs with atypical enhancement pattern, and focus on their magnetic resonance imaging (MRI) features. CONCLUSIONS In order to correctly characterize atypical HCC lesions in cirrhotic liver it is important to consider not only vascular behaviour of the nodule, but also ancillary MRI features, such as diffusion restriction, hepatobiliary phase hypointensity, and T2-weighted hyperintensity. Fat content, corona enhancement, mosaic architecture are other MRI feautures which favour the diagnosis of HCC even in the absence of typical vascular profile.
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Affiliation(s)
- Jelena Djokic Kovac
- Center for Radiology and MRI, Clinical Center Serbia, School of Medicine, University of Belgrade; Belgrade, Serbia
| | - Aleksandar Ivanovic
- Center for Radiology and MRI, Clinical Center Serbia, School of Medicine, University of Belgrade; Belgrade, Serbia
| | - Tamara Milovanovic
- Clinic for Gastroenterology and Hepatology, Clinical Center of Serbia School of Medicine, University of Belgrade; Belgrade, Serbia
| | - Marjan Micev
- Departament of Digestive Pathology, Clinical Center of Serbia, Belgrade, Serbia
| | - Francesco Alessandrino
- Division of Abdominal Imaging, Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, USA
| | - Richard M. Gore
- Department of Gastrointestinal Radiology, NorthShore University, Evanston, Pritzker School of Medicine at the University of Chicago, ChicagoUSA
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Steatohepatitic hepatocellular carcinoma: imaging findings with clinicopathological correlation. Clin Radiol 2020; 76:160.e15-160.e25. [PMID: 33046228 DOI: 10.1016/j.crad.2020.09.011] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Accepted: 09/08/2020] [Indexed: 12/22/2022]
Abstract
AIM To evaluate the clinicopathological and computed tomography (CT) and magnetic resonance imaging (MRI) findings of steatohepatitic hepatocellular carcinoma (SH-HCC). MATERIALS AND METHODS Clinicopathological and radiological features were evaluated in 20 patients with SH-HCC. The diagnosis of SH-HCC was made histologically if the tumour had four of the following five characteristics: steatosis (>5% tumour cells), ballooning, Mallory-Denk bodies, interstitial fibrosis, and inflammation. All patients underwent dynamic CT and MRI. CT and MRI images were reviewed for morphological features including tumour size, presence, and distribution of fat, and patterns and degree of contrast enhancement. RESULTS Obesity, hypertension, and history of heavy alcohol intake were common clinical findings observed in 10 (50%), 13 (65%), and 11 (55%) of the 20 patients, respectively. Steatosis and steatohepatitis were pronounced in the background liver in 12 (60%) and 10 (50%) patients, respectively. SH-HCC was moderately differentiated in 18 patients (90%) and well differentiated in two (10%). Pathologically, steatohepatitic features were diffuse in 12 (60%) of the 20 tumours and focal in eight (40%). Tumour size and the percentage of intratumoural steatosis were not correlated (r=0.17, p=0.47). On CT, 16 (80%) patients showed arterial phase enhancement and delayed washout. On MRI, 16 (80%) of 20 tumours showed prominent fatty deposition (10 diffusely, six focally) with arterial phase enhancement. CONCLUSIONS SH-HCC is likely to show prominent fatty deposits with arterial phase enhancement on CT and MRI. A hypervascular lesion with prominent fatty change should raise the diagnostic suspicion of SH-HCC.
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Yang Y, Liu C, Qi L, Zhao T, Feng Y, Ai X, Zhao X, Li J, Zhu Q. Diagnosis of Pre-HCC Disease by Hepatobiliary-Specific Contrast-Enhanced Magnetic Resonance Imaging: A Review. Dig Dis Sci 2020; 65:2492-2502. [PMID: 31808004 DOI: 10.1007/s10620-019-05981-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Accepted: 11/27/2019] [Indexed: 12/14/2022]
Abstract
We first proposed a new concept, pre-hepatocellular carcinoma (HCC) disease, to describe the precancerous condition of HCC, which has received scant attention from clinicians. Pre-HCC disease is defined as chronic liver injury concurrent with hepatic low- or high-grade dysplastic nodular lesions. Precise diagnosis of pre-HCC disease may prevent or arrest HCC and contribute to relieving the HCC burden worldwide, although noninvasive diagnosis is difficult and biopsy is generally required. Fortunately, recent advances and extensive applications of hepatobiliary-specific contrast-enhanced magnetic resonance imaging will facilitate the noninvasive identification and characterization of pre-HCC disease. This review briefly discusses the new concept of pre-HCC disease and offers an overview of the role of hepatobiliary-specific contrast-enhanced magnetic resonance imaging for the diagnosis of pre-HCC disease.
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Affiliation(s)
- Yao Yang
- Department of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong University, 324, Jing 5 Rd, Jinan, 250021, Shandong Province, China
- Shandong Provincial Engineering and Technological Research Center for Liver Disease Prevention and Control, Jinan, Shandong Province, China
| | - Chenxi Liu
- Department of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong University, 324, Jing 5 Rd, Jinan, 250021, Shandong Province, China
- Shandong Provincial Engineering and Technological Research Center for Liver Disease Prevention and Control, Jinan, Shandong Province, China
| | - Linyu Qi
- Department of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong University, 324, Jing 5 Rd, Jinan, 250021, Shandong Province, China
- Shandong Provincial Engineering and Technological Research Center for Liver Disease Prevention and Control, Jinan, Shandong Province, China
| | - Tong Zhao
- Department of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong University, 324, Jing 5 Rd, Jinan, 250021, Shandong Province, China
- Shandong Provincial Engineering and Technological Research Center for Liver Disease Prevention and Control, Jinan, Shandong Province, China
| | - Yuemin Feng
- Department of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong University, 324, Jing 5 Rd, Jinan, 250021, Shandong Province, China
- Shandong Provincial Engineering and Technological Research Center for Liver Disease Prevention and Control, Jinan, Shandong Province, China
| | - Xin Ai
- Department of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong University, 324, Jing 5 Rd, Jinan, 250021, Shandong Province, China
- Shandong Provincial Engineering and Technological Research Center for Liver Disease Prevention and Control, Jinan, Shandong Province, China
| | - Xinya Zhao
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong University, 324, Jing 5 Rd, Jinan, 250021, Shandong Province, China
| | - Jie Li
- Department of Infectious Disease, Shandong Provincial Hospital Affiliated to Shandong University, 324, Jing 5 Rd, Jinan, 250021, Shandong Province, China
| | - Qiang Zhu
- Department of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong University, 324, Jing 5 Rd, Jinan, 250021, Shandong Province, China.
- Shandong Provincial Engineering and Technological Research Center for Liver Disease Prevention and Control, Jinan, Shandong Province, China.
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17
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Joo I, Kim SY, Kang TW, Kim YK, Park BJ, Lee YJ, Choi JI, Lee CH, Park HS, Lee K, Kim H, Yu E, Kang HJ, Ha SY, Kim JY, Ahn S, Jung ES, Kim BH, Han HS, Lee JM. Radiologic-Pathologic Correlation of Hepatobiliary Phase Hypointense Nodules without Arterial Phase Hyperenhancement at Gadoxetic Acid-enhanced MRI: A Multicenter Study. Radiology 2020; 296:335-345. [PMID: 32484414 DOI: 10.1148/radiol.2020192275] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Background Hepatobiliary phase (HBP) hypointense nodules without arterial phase hyperenhancement (APHE) at gadoxetic acid-enhanced MRI may indicate hepatocellular carcinoma (HCC) or nonmalignant cirrhosis-associated nodules. Purpose To assess the distribution of pathologic diagnoses of HBP hypointense nodules without APHE at gadoxetic acid-enhanced MRI and to evaluate clinical and imaging features in differentiating their histologic grades. Materials and Methods This retrospective multicenter study included pathologic analysis-confirmed HBP hypointense nodules without APHE (≤30 mm) in patients with chronic liver disease or cirrhosis screened between January 2008 and June 2016. Central pathologic review by 10 pathologists determined final histologic grades as progressed HCC, early HCC, high-grade dysplastic nodule (DN), and low-grade DN or regenerative nodule. Gadoxetic acid-enhanced MRI features were analyzed by three radiologists. Multivariable logistic regression analyses with elastic net regularization were performed to identify clinical and imaging features for differentiating histologic grades. Results There were 298 patients (mean age, 59 years ± 10; 226 men) with 334 nodules evaluated, and progressed HCCs were diagnosed in 44.0% (147 of 334), early HCCs in 20.4% (68 of 334), high-grade DNs in 27.5% (92 of 334), and low-grade DNs or regenerative nodules in 8.1% (27 of 334). Serum α-fetoprotein level 100 ng/mL or greater (odds ratio, 2.7; P = .01) and MRI features including well-defined margin (odds ratio, 5.5; P = .003), hypointensity at precontrast T1-weighted imaging (odds ratio, 3.2; P < .001), intermediate hyperintensity at T2-weighted imaging (odds ratio, 3.4; P < .001), and restricted diffusion (odds ratio, 1.9; P = .04) were independent predictors for progressed HCC at multivariable analysis. Conclusion In patients at high risk for hepatocellular carcinoma (HCC), hepatobiliary phase hypointense nodules without arterial phase hyperenhancement at gadoxetic acid-enhanced MRI corresponded mainly to progressed HCCs, early HCCs, and high-grade dysplastic nodules. High α-fetoprotein level and some imaging features at MRI helped to differentiate progressed HCC from lower grade nodules. © RSNA, 2020 Online supplemental material is available for this article. See also the editorial by Motosugi in this issue.
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Affiliation(s)
- Ijin Joo
- From the Department of Radiology, Seoul National University Hospital, Seoul, Korea (I.J., J.M.L.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea (S.Y.K.); Department of Radiology, Samsung Medical Center, Seoul, Korea (T.W.K., Y.K.K.); Department of Radiology, Korea University Anam Hospital, Seoul, Korea (B.J.P.); Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (Y.J.L.); Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea (J.I.C.); Department of Radiology, Korea University Guro Hospital, Seoul, Korea (C.H.L.); Department of Radiology, Konkuk University School of Medicine, Seoul, Korea (H.S.P.); Department of Pathology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea (K.L., H.K.); Department of Pathology, Asan Medical Center, Seoul, Korea (E.Y., H.J.K.); Department of Pathology, Samsung Medical Center, Seoul, Korea (S.Y.H.); Department of Pathology, Korea University Anam Hospital, Seoul, Korea (J.Y.K.); Department of Pathology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (S.A.); Department of Pathology, Seoul St. Mary's Hospital, Seoul, Korea (E.S.J.); Department of Pathology, Korea University Guro Hospital, Seoul, Korea (B.H.K.); and Department of Pathology, Konkuk University Hospital, Seoul, Korea (H.S.H.)
| | - So Yeon Kim
- From the Department of Radiology, Seoul National University Hospital, Seoul, Korea (I.J., J.M.L.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea (S.Y.K.); Department of Radiology, Samsung Medical Center, Seoul, Korea (T.W.K., Y.K.K.); Department of Radiology, Korea University Anam Hospital, Seoul, Korea (B.J.P.); Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (Y.J.L.); Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea (J.I.C.); Department of Radiology, Korea University Guro Hospital, Seoul, Korea (C.H.L.); Department of Radiology, Konkuk University School of Medicine, Seoul, Korea (H.S.P.); Department of Pathology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea (K.L., H.K.); Department of Pathology, Asan Medical Center, Seoul, Korea (E.Y., H.J.K.); Department of Pathology, Samsung Medical Center, Seoul, Korea (S.Y.H.); Department of Pathology, Korea University Anam Hospital, Seoul, Korea (J.Y.K.); Department of Pathology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (S.A.); Department of Pathology, Seoul St. Mary's Hospital, Seoul, Korea (E.S.J.); Department of Pathology, Korea University Guro Hospital, Seoul, Korea (B.H.K.); and Department of Pathology, Konkuk University Hospital, Seoul, Korea (H.S.H.)
| | - Tae Wook Kang
- From the Department of Radiology, Seoul National University Hospital, Seoul, Korea (I.J., J.M.L.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea (S.Y.K.); Department of Radiology, Samsung Medical Center, Seoul, Korea (T.W.K., Y.K.K.); Department of Radiology, Korea University Anam Hospital, Seoul, Korea (B.J.P.); Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (Y.J.L.); Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea (J.I.C.); Department of Radiology, Korea University Guro Hospital, Seoul, Korea (C.H.L.); Department of Radiology, Konkuk University School of Medicine, Seoul, Korea (H.S.P.); Department of Pathology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea (K.L., H.K.); Department of Pathology, Asan Medical Center, Seoul, Korea (E.Y., H.J.K.); Department of Pathology, Samsung Medical Center, Seoul, Korea (S.Y.H.); Department of Pathology, Korea University Anam Hospital, Seoul, Korea (J.Y.K.); Department of Pathology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (S.A.); Department of Pathology, Seoul St. Mary's Hospital, Seoul, Korea (E.S.J.); Department of Pathology, Korea University Guro Hospital, Seoul, Korea (B.H.K.); and Department of Pathology, Konkuk University Hospital, Seoul, Korea (H.S.H.)
| | - Young Kon Kim
- From the Department of Radiology, Seoul National University Hospital, Seoul, Korea (I.J., J.M.L.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea (S.Y.K.); Department of Radiology, Samsung Medical Center, Seoul, Korea (T.W.K., Y.K.K.); Department of Radiology, Korea University Anam Hospital, Seoul, Korea (B.J.P.); Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (Y.J.L.); Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea (J.I.C.); Department of Radiology, Korea University Guro Hospital, Seoul, Korea (C.H.L.); Department of Radiology, Konkuk University School of Medicine, Seoul, Korea (H.S.P.); Department of Pathology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea (K.L., H.K.); Department of Pathology, Asan Medical Center, Seoul, Korea (E.Y., H.J.K.); Department of Pathology, Samsung Medical Center, Seoul, Korea (S.Y.H.); Department of Pathology, Korea University Anam Hospital, Seoul, Korea (J.Y.K.); Department of Pathology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (S.A.); Department of Pathology, Seoul St. Mary's Hospital, Seoul, Korea (E.S.J.); Department of Pathology, Korea University Guro Hospital, Seoul, Korea (B.H.K.); and Department of Pathology, Konkuk University Hospital, Seoul, Korea (H.S.H.)
| | - Beom Jin Park
- From the Department of Radiology, Seoul National University Hospital, Seoul, Korea (I.J., J.M.L.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea (S.Y.K.); Department of Radiology, Samsung Medical Center, Seoul, Korea (T.W.K., Y.K.K.); Department of Radiology, Korea University Anam Hospital, Seoul, Korea (B.J.P.); Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (Y.J.L.); Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea (J.I.C.); Department of Radiology, Korea University Guro Hospital, Seoul, Korea (C.H.L.); Department of Radiology, Konkuk University School of Medicine, Seoul, Korea (H.S.P.); Department of Pathology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea (K.L., H.K.); Department of Pathology, Asan Medical Center, Seoul, Korea (E.Y., H.J.K.); Department of Pathology, Samsung Medical Center, Seoul, Korea (S.Y.H.); Department of Pathology, Korea University Anam Hospital, Seoul, Korea (J.Y.K.); Department of Pathology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (S.A.); Department of Pathology, Seoul St. Mary's Hospital, Seoul, Korea (E.S.J.); Department of Pathology, Korea University Guro Hospital, Seoul, Korea (B.H.K.); and Department of Pathology, Konkuk University Hospital, Seoul, Korea (H.S.H.)
| | - Yoon Jin Lee
- From the Department of Radiology, Seoul National University Hospital, Seoul, Korea (I.J., J.M.L.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea (S.Y.K.); Department of Radiology, Samsung Medical Center, Seoul, Korea (T.W.K., Y.K.K.); Department of Radiology, Korea University Anam Hospital, Seoul, Korea (B.J.P.); Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (Y.J.L.); Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea (J.I.C.); Department of Radiology, Korea University Guro Hospital, Seoul, Korea (C.H.L.); Department of Radiology, Konkuk University School of Medicine, Seoul, Korea (H.S.P.); Department of Pathology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea (K.L., H.K.); Department of Pathology, Asan Medical Center, Seoul, Korea (E.Y., H.J.K.); Department of Pathology, Samsung Medical Center, Seoul, Korea (S.Y.H.); Department of Pathology, Korea University Anam Hospital, Seoul, Korea (J.Y.K.); Department of Pathology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (S.A.); Department of Pathology, Seoul St. Mary's Hospital, Seoul, Korea (E.S.J.); Department of Pathology, Korea University Guro Hospital, Seoul, Korea (B.H.K.); and Department of Pathology, Konkuk University Hospital, Seoul, Korea (H.S.H.)
| | - Joon-Il Choi
- From the Department of Radiology, Seoul National University Hospital, Seoul, Korea (I.J., J.M.L.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea (S.Y.K.); Department of Radiology, Samsung Medical Center, Seoul, Korea (T.W.K., Y.K.K.); Department of Radiology, Korea University Anam Hospital, Seoul, Korea (B.J.P.); Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (Y.J.L.); Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea (J.I.C.); Department of Radiology, Korea University Guro Hospital, Seoul, Korea (C.H.L.); Department of Radiology, Konkuk University School of Medicine, Seoul, Korea (H.S.P.); Department of Pathology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea (K.L., H.K.); Department of Pathology, Asan Medical Center, Seoul, Korea (E.Y., H.J.K.); Department of Pathology, Samsung Medical Center, Seoul, Korea (S.Y.H.); Department of Pathology, Korea University Anam Hospital, Seoul, Korea (J.Y.K.); Department of Pathology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (S.A.); Department of Pathology, Seoul St. Mary's Hospital, Seoul, Korea (E.S.J.); Department of Pathology, Korea University Guro Hospital, Seoul, Korea (B.H.K.); and Department of Pathology, Konkuk University Hospital, Seoul, Korea (H.S.H.)
| | - Chang-Hee Lee
- From the Department of Radiology, Seoul National University Hospital, Seoul, Korea (I.J., J.M.L.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea (S.Y.K.); Department of Radiology, Samsung Medical Center, Seoul, Korea (T.W.K., Y.K.K.); Department of Radiology, Korea University Anam Hospital, Seoul, Korea (B.J.P.); Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (Y.J.L.); Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea (J.I.C.); Department of Radiology, Korea University Guro Hospital, Seoul, Korea (C.H.L.); Department of Radiology, Konkuk University School of Medicine, Seoul, Korea (H.S.P.); Department of Pathology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea (K.L., H.K.); Department of Pathology, Asan Medical Center, Seoul, Korea (E.Y., H.J.K.); Department of Pathology, Samsung Medical Center, Seoul, Korea (S.Y.H.); Department of Pathology, Korea University Anam Hospital, Seoul, Korea (J.Y.K.); Department of Pathology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (S.A.); Department of Pathology, Seoul St. Mary's Hospital, Seoul, Korea (E.S.J.); Department of Pathology, Korea University Guro Hospital, Seoul, Korea (B.H.K.); and Department of Pathology, Konkuk University Hospital, Seoul, Korea (H.S.H.)
| | - Hee Sun Park
- From the Department of Radiology, Seoul National University Hospital, Seoul, Korea (I.J., J.M.L.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea (S.Y.K.); Department of Radiology, Samsung Medical Center, Seoul, Korea (T.W.K., Y.K.K.); Department of Radiology, Korea University Anam Hospital, Seoul, Korea (B.J.P.); Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (Y.J.L.); Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea (J.I.C.); Department of Radiology, Korea University Guro Hospital, Seoul, Korea (C.H.L.); Department of Radiology, Konkuk University School of Medicine, Seoul, Korea (H.S.P.); Department of Pathology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea (K.L., H.K.); Department of Pathology, Asan Medical Center, Seoul, Korea (E.Y., H.J.K.); Department of Pathology, Samsung Medical Center, Seoul, Korea (S.Y.H.); Department of Pathology, Korea University Anam Hospital, Seoul, Korea (J.Y.K.); Department of Pathology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (S.A.); Department of Pathology, Seoul St. Mary's Hospital, Seoul, Korea (E.S.J.); Department of Pathology, Korea University Guro Hospital, Seoul, Korea (B.H.K.); and Department of Pathology, Konkuk University Hospital, Seoul, Korea (H.S.H.)
| | - Kyoungbun Lee
- From the Department of Radiology, Seoul National University Hospital, Seoul, Korea (I.J., J.M.L.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea (S.Y.K.); Department of Radiology, Samsung Medical Center, Seoul, Korea (T.W.K., Y.K.K.); Department of Radiology, Korea University Anam Hospital, Seoul, Korea (B.J.P.); Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (Y.J.L.); Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea (J.I.C.); Department of Radiology, Korea University Guro Hospital, Seoul, Korea (C.H.L.); Department of Radiology, Konkuk University School of Medicine, Seoul, Korea (H.S.P.); Department of Pathology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea (K.L., H.K.); Department of Pathology, Asan Medical Center, Seoul, Korea (E.Y., H.J.K.); Department of Pathology, Samsung Medical Center, Seoul, Korea (S.Y.H.); Department of Pathology, Korea University Anam Hospital, Seoul, Korea (J.Y.K.); Department of Pathology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (S.A.); Department of Pathology, Seoul St. Mary's Hospital, Seoul, Korea (E.S.J.); Department of Pathology, Korea University Guro Hospital, Seoul, Korea (B.H.K.); and Department of Pathology, Konkuk University Hospital, Seoul, Korea (H.S.H.)
| | - Haeryoung Kim
- From the Department of Radiology, Seoul National University Hospital, Seoul, Korea (I.J., J.M.L.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea (S.Y.K.); Department of Radiology, Samsung Medical Center, Seoul, Korea (T.W.K., Y.K.K.); Department of Radiology, Korea University Anam Hospital, Seoul, Korea (B.J.P.); Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (Y.J.L.); Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea (J.I.C.); Department of Radiology, Korea University Guro Hospital, Seoul, Korea (C.H.L.); Department of Radiology, Konkuk University School of Medicine, Seoul, Korea (H.S.P.); Department of Pathology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea (K.L., H.K.); Department of Pathology, Asan Medical Center, Seoul, Korea (E.Y., H.J.K.); Department of Pathology, Samsung Medical Center, Seoul, Korea (S.Y.H.); Department of Pathology, Korea University Anam Hospital, Seoul, Korea (J.Y.K.); Department of Pathology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (S.A.); Department of Pathology, Seoul St. Mary's Hospital, Seoul, Korea (E.S.J.); Department of Pathology, Korea University Guro Hospital, Seoul, Korea (B.H.K.); and Department of Pathology, Konkuk University Hospital, Seoul, Korea (H.S.H.)
| | - Eunsil Yu
- From the Department of Radiology, Seoul National University Hospital, Seoul, Korea (I.J., J.M.L.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea (S.Y.K.); Department of Radiology, Samsung Medical Center, Seoul, Korea (T.W.K., Y.K.K.); Department of Radiology, Korea University Anam Hospital, Seoul, Korea (B.J.P.); Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (Y.J.L.); Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea (J.I.C.); Department of Radiology, Korea University Guro Hospital, Seoul, Korea (C.H.L.); Department of Radiology, Konkuk University School of Medicine, Seoul, Korea (H.S.P.); Department of Pathology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea (K.L., H.K.); Department of Pathology, Asan Medical Center, Seoul, Korea (E.Y., H.J.K.); Department of Pathology, Samsung Medical Center, Seoul, Korea (S.Y.H.); Department of Pathology, Korea University Anam Hospital, Seoul, Korea (J.Y.K.); Department of Pathology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (S.A.); Department of Pathology, Seoul St. Mary's Hospital, Seoul, Korea (E.S.J.); Department of Pathology, Korea University Guro Hospital, Seoul, Korea (B.H.K.); and Department of Pathology, Konkuk University Hospital, Seoul, Korea (H.S.H.)
| | - Hyo Jeong Kang
- From the Department of Radiology, Seoul National University Hospital, Seoul, Korea (I.J., J.M.L.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea (S.Y.K.); Department of Radiology, Samsung Medical Center, Seoul, Korea (T.W.K., Y.K.K.); Department of Radiology, Korea University Anam Hospital, Seoul, Korea (B.J.P.); Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (Y.J.L.); Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea (J.I.C.); Department of Radiology, Korea University Guro Hospital, Seoul, Korea (C.H.L.); Department of Radiology, Konkuk University School of Medicine, Seoul, Korea (H.S.P.); Department of Pathology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea (K.L., H.K.); Department of Pathology, Asan Medical Center, Seoul, Korea (E.Y., H.J.K.); Department of Pathology, Samsung Medical Center, Seoul, Korea (S.Y.H.); Department of Pathology, Korea University Anam Hospital, Seoul, Korea (J.Y.K.); Department of Pathology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (S.A.); Department of Pathology, Seoul St. Mary's Hospital, Seoul, Korea (E.S.J.); Department of Pathology, Korea University Guro Hospital, Seoul, Korea (B.H.K.); and Department of Pathology, Konkuk University Hospital, Seoul, Korea (H.S.H.)
| | - Sang Yun Ha
- From the Department of Radiology, Seoul National University Hospital, Seoul, Korea (I.J., J.M.L.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea (S.Y.K.); Department of Radiology, Samsung Medical Center, Seoul, Korea (T.W.K., Y.K.K.); Department of Radiology, Korea University Anam Hospital, Seoul, Korea (B.J.P.); Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (Y.J.L.); Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea (J.I.C.); Department of Radiology, Korea University Guro Hospital, Seoul, Korea (C.H.L.); Department of Radiology, Konkuk University School of Medicine, Seoul, Korea (H.S.P.); Department of Pathology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea (K.L., H.K.); Department of Pathology, Asan Medical Center, Seoul, Korea (E.Y., H.J.K.); Department of Pathology, Samsung Medical Center, Seoul, Korea (S.Y.H.); Department of Pathology, Korea University Anam Hospital, Seoul, Korea (J.Y.K.); Department of Pathology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (S.A.); Department of Pathology, Seoul St. Mary's Hospital, Seoul, Korea (E.S.J.); Department of Pathology, Korea University Guro Hospital, Seoul, Korea (B.H.K.); and Department of Pathology, Konkuk University Hospital, Seoul, Korea (H.S.H.)
| | - Joo Young Kim
- From the Department of Radiology, Seoul National University Hospital, Seoul, Korea (I.J., J.M.L.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea (S.Y.K.); Department of Radiology, Samsung Medical Center, Seoul, Korea (T.W.K., Y.K.K.); Department of Radiology, Korea University Anam Hospital, Seoul, Korea (B.J.P.); Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (Y.J.L.); Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea (J.I.C.); Department of Radiology, Korea University Guro Hospital, Seoul, Korea (C.H.L.); Department of Radiology, Konkuk University School of Medicine, Seoul, Korea (H.S.P.); Department of Pathology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea (K.L., H.K.); Department of Pathology, Asan Medical Center, Seoul, Korea (E.Y., H.J.K.); Department of Pathology, Samsung Medical Center, Seoul, Korea (S.Y.H.); Department of Pathology, Korea University Anam Hospital, Seoul, Korea (J.Y.K.); Department of Pathology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (S.A.); Department of Pathology, Seoul St. Mary's Hospital, Seoul, Korea (E.S.J.); Department of Pathology, Korea University Guro Hospital, Seoul, Korea (B.H.K.); and Department of Pathology, Konkuk University Hospital, Seoul, Korea (H.S.H.)
| | - Soomin Ahn
- From the Department of Radiology, Seoul National University Hospital, Seoul, Korea (I.J., J.M.L.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea (S.Y.K.); Department of Radiology, Samsung Medical Center, Seoul, Korea (T.W.K., Y.K.K.); Department of Radiology, Korea University Anam Hospital, Seoul, Korea (B.J.P.); Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (Y.J.L.); Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea (J.I.C.); Department of Radiology, Korea University Guro Hospital, Seoul, Korea (C.H.L.); Department of Radiology, Konkuk University School of Medicine, Seoul, Korea (H.S.P.); Department of Pathology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea (K.L., H.K.); Department of Pathology, Asan Medical Center, Seoul, Korea (E.Y., H.J.K.); Department of Pathology, Samsung Medical Center, Seoul, Korea (S.Y.H.); Department of Pathology, Korea University Anam Hospital, Seoul, Korea (J.Y.K.); Department of Pathology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (S.A.); Department of Pathology, Seoul St. Mary's Hospital, Seoul, Korea (E.S.J.); Department of Pathology, Korea University Guro Hospital, Seoul, Korea (B.H.K.); and Department of Pathology, Konkuk University Hospital, Seoul, Korea (H.S.H.)
| | - Eun Sun Jung
- From the Department of Radiology, Seoul National University Hospital, Seoul, Korea (I.J., J.M.L.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea (S.Y.K.); Department of Radiology, Samsung Medical Center, Seoul, Korea (T.W.K., Y.K.K.); Department of Radiology, Korea University Anam Hospital, Seoul, Korea (B.J.P.); Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (Y.J.L.); Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea (J.I.C.); Department of Radiology, Korea University Guro Hospital, Seoul, Korea (C.H.L.); Department of Radiology, Konkuk University School of Medicine, Seoul, Korea (H.S.P.); Department of Pathology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea (K.L., H.K.); Department of Pathology, Asan Medical Center, Seoul, Korea (E.Y., H.J.K.); Department of Pathology, Samsung Medical Center, Seoul, Korea (S.Y.H.); Department of Pathology, Korea University Anam Hospital, Seoul, Korea (J.Y.K.); Department of Pathology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (S.A.); Department of Pathology, Seoul St. Mary's Hospital, Seoul, Korea (E.S.J.); Department of Pathology, Korea University Guro Hospital, Seoul, Korea (B.H.K.); and Department of Pathology, Konkuk University Hospital, Seoul, Korea (H.S.H.)
| | - Baek-Hui Kim
- From the Department of Radiology, Seoul National University Hospital, Seoul, Korea (I.J., J.M.L.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea (S.Y.K.); Department of Radiology, Samsung Medical Center, Seoul, Korea (T.W.K., Y.K.K.); Department of Radiology, Korea University Anam Hospital, Seoul, Korea (B.J.P.); Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (Y.J.L.); Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea (J.I.C.); Department of Radiology, Korea University Guro Hospital, Seoul, Korea (C.H.L.); Department of Radiology, Konkuk University School of Medicine, Seoul, Korea (H.S.P.); Department of Pathology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea (K.L., H.K.); Department of Pathology, Asan Medical Center, Seoul, Korea (E.Y., H.J.K.); Department of Pathology, Samsung Medical Center, Seoul, Korea (S.Y.H.); Department of Pathology, Korea University Anam Hospital, Seoul, Korea (J.Y.K.); Department of Pathology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (S.A.); Department of Pathology, Seoul St. Mary's Hospital, Seoul, Korea (E.S.J.); Department of Pathology, Korea University Guro Hospital, Seoul, Korea (B.H.K.); and Department of Pathology, Konkuk University Hospital, Seoul, Korea (H.S.H.)
| | - Hye Seung Han
- From the Department of Radiology, Seoul National University Hospital, Seoul, Korea (I.J., J.M.L.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea (S.Y.K.); Department of Radiology, Samsung Medical Center, Seoul, Korea (T.W.K., Y.K.K.); Department of Radiology, Korea University Anam Hospital, Seoul, Korea (B.J.P.); Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (Y.J.L.); Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea (J.I.C.); Department of Radiology, Korea University Guro Hospital, Seoul, Korea (C.H.L.); Department of Radiology, Konkuk University School of Medicine, Seoul, Korea (H.S.P.); Department of Pathology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea (K.L., H.K.); Department of Pathology, Asan Medical Center, Seoul, Korea (E.Y., H.J.K.); Department of Pathology, Samsung Medical Center, Seoul, Korea (S.Y.H.); Department of Pathology, Korea University Anam Hospital, Seoul, Korea (J.Y.K.); Department of Pathology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (S.A.); Department of Pathology, Seoul St. Mary's Hospital, Seoul, Korea (E.S.J.); Department of Pathology, Korea University Guro Hospital, Seoul, Korea (B.H.K.); and Department of Pathology, Konkuk University Hospital, Seoul, Korea (H.S.H.)
| | - Jeong Min Lee
- From the Department of Radiology, Seoul National University Hospital, Seoul, Korea (I.J., J.M.L.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea (S.Y.K.); Department of Radiology, Samsung Medical Center, Seoul, Korea (T.W.K., Y.K.K.); Department of Radiology, Korea University Anam Hospital, Seoul, Korea (B.J.P.); Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (Y.J.L.); Department of Radiology, Seoul St. Mary's Hospital, Seoul, Korea (J.I.C.); Department of Radiology, Korea University Guro Hospital, Seoul, Korea (C.H.L.); Department of Radiology, Konkuk University School of Medicine, Seoul, Korea (H.S.P.); Department of Pathology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea (K.L., H.K.); Department of Pathology, Asan Medical Center, Seoul, Korea (E.Y., H.J.K.); Department of Pathology, Samsung Medical Center, Seoul, Korea (S.Y.H.); Department of Pathology, Korea University Anam Hospital, Seoul, Korea (J.Y.K.); Department of Pathology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Korea (S.A.); Department of Pathology, Seoul St. Mary's Hospital, Seoul, Korea (E.S.J.); Department of Pathology, Korea University Guro Hospital, Seoul, Korea (B.H.K.); and Department of Pathology, Konkuk University Hospital, Seoul, Korea (H.S.H.)
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Diagnostic Value of Imaging Methods in the Histological Four Grading of Hepatocellular Carcinoma. Diagnostics (Basel) 2020; 10:diagnostics10050321. [PMID: 32438701 PMCID: PMC7277955 DOI: 10.3390/diagnostics10050321] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2020] [Revised: 05/02/2020] [Accepted: 05/14/2020] [Indexed: 12/11/2022] Open
Abstract
We attempted to establish an ultrasound (US) imaging-diagnostic system for histopathological grades of differentiation of hepatocellular carcinoma (HCC). We conducted a retrospective study of histopathologically confirmed 200 HCCs, classified as early (45 lesions), well- (31 lesions), moderately (68 lesions) or poorly differentiated (diff.) (56 lesions) HCCs. We performed grayscale US to estimate the presence/absence of halo and mosaic signs, Sonazoid contrast-enhanced US (CEUS) to determine vascularity (hypo/iso/hyper) of lesion in arterial and portal phase (PP), and echogenicity of lesion in post-vascular phase (PVP). All findings were of significance for the diagnosis of some (but not all) histological grades (p < 0.001–0.05). Combined findings with a relatively high diagnostic efficacy for early, poorly and moderately diff. HCC were a combination of absence of halo sign and isoechogenicity in PVP of CEUS (accuracy: 93.0%, AUC: 0.908), hypovascularity in PP (accuracy: 78.0%, area under the curve (AUC): 0.750), and a combination of isovascularity in PP and hypoechogenicity in PVP (accuracy: 75.0%, AUC: 0.739), respectively. On the other hand, neither any individual finding nor any combination of findings yielded an AUC of over 0.657 for the diagnosis of well-diff. HCC. Our study provides encouraging data on Sonazoid CEUS in the histological differential diagnosis of HCC, especially in early HCC, and the effectiveness of this imaging method should be further proved by prospective, large sample, multicenter studies.
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Kovac JD, Milovanovic T, Dugalic V, Dumic I. Pearls and pitfalls in magnetic resonance imaging of hepatocellular carcinoma. World J Gastroenterol 2020; 26:2012-2029. [PMID: 32536771 PMCID: PMC7267693 DOI: 10.3748/wjg.v26.i17.2012] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Revised: 04/20/2020] [Accepted: 04/24/2020] [Indexed: 02/06/2023] Open
Abstract
Hepatocellular carcinoma (HCC) is the most common primary hepatic malignancy, which usually arises in cirrhotic liver. When the typical enhancement pattern, consisting of late arterial hyperenhancement followed by washout, is present in nodules larger than 1 cm, HCC can be confidently diagnosed without the need for tissue biopsy. Nevertheless, HCC can display an atypical enhancement pattern, either as iso or hypovascular lesion, or hypervascular lesion without washout. Not only the enhancement pattern of HCC could be atypical, but also a variety of histological types of HCC, such as steatotic, scirrhous, fibrolamellar, or combined hepatocellular-cholangiocellular carcinoma could raise diagnostic dilemmas. In addition, distinct morphological types of HCC or different growth pattern can occur. Awareness of these atypical and rare HCC presentations on magnetic resonance imaging is important for accurate differentiation from other focal liver lesions and timely diagnosis, which allows optimal treatment of patients.
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Affiliation(s)
- Jelena Djokic Kovac
- Departament of Radiology, Clinical Center Serbia, Belgrade 11000, Serbia
- School of Medicine, Belgrade University, Belgrade 11000, Serbia
| | - Tamara Milovanovic
- Departament of Hepatology, Clinical Center Serbia, Belgrade 11000, Serbia
- School of Medicine, Belgrade University, Belgrade 11000, Serbia
| | - Vladimir Dugalic
- Departament of Surgery, Clinical Center Serbia, Belgrade 11000, Serbia
- School of Medicine, Belgrade University, Belgrade 11000, Serbia
| | - Igor Dumic
- Divison of Hospital Medicine, Mayo Clinic College of Medicine and Sciences, Mayo Clinic Health System, New York, NY 10029, United States
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Kang JH, Choi SH, Byun JH, Kim DH, Lee SJ, Kim SY, Won HJ, Shin YM, Kim PN. Ancillary features in the Liver Imaging Reporting and Data System: how to improve diagnosis of hepatocellular carcinoma ≤ 3 cm on magnetic resonance imaging. Eur Radiol 2020; 30:2881-2889. [DOI: 10.1007/s00330-019-06645-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Revised: 11/06/2019] [Accepted: 12/18/2019] [Indexed: 01/03/2023]
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Zhong X, Tang H, Lu B, You J, Piao J, Yang P, Li J. Differentiation of Small Hepatocellular Carcinoma From Dysplastic Nodules in Cirrhotic Liver: Texture Analysis Based on MRI Improved Performance in Comparison Over Gadoxetic Acid-Enhanced MR and Diffusion-Weighted Imaging. Front Oncol 2020; 9:1382. [PMID: 31998629 PMCID: PMC6966306 DOI: 10.3389/fonc.2019.01382] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2019] [Accepted: 11/22/2019] [Indexed: 12/30/2022] Open
Abstract
Background: Accurate characterization of small (3 cm) hepatocellular carcinoma (sHCC) and dysplastic nodules (DNs) in cirrhotic liver is challenging. We aimed to investigate whether texture analysis (TA) based on T2-weighted images (T2WI) is superior to qualitative diagnosis using gadoxetic acid-enhanced MR imaging (Gd-EOB-MRI) and diffusion-weighted imaging (DWI) for distinguishing sHCC from DNs in cirrhosis. Materials and methods: Sixty-eight patients with 73 liver nodules (46 HCCs, 27 DNs) pathologically confirmed by operation were included. For imaging diagnosis, three sets of images were reviewed by two experienced radiologists in consensus: a Gd-EOB-MRI set, a DWI set, and a combined set (combination of Gd-EOB-MRI and DWI). For TA, 279 texture features resulting from T2WI were extracted for each lesion. The performance of each approach was evaluated by a receiver operating characteristic analysis. The area under the receiver operating characteristic curve (Az), sensitivity, specificity, and accuracy were determined. Results: The performance of TA (Az = 0.96) was significantly higher than that of imaging diagnosis using Gd-EOB-MRI set (Az = 0.86) or DWI set (Az = 0.80) alone in differentiation of sHCC from DNs (P = 0.008 and 0.025, respectively). The combination of Gd-EOB-MRI and DWI showed a greater sensitivity (95.6%) but reduced specificity (66.7%). The specificity of TA (92.6%) was significantly higher than that of the combined set (P < 0.001), but no significant difference was observed in sensitivity (97.8 vs. 95.6%, P = 0.559). Conclusion: TA-based T2WI showed a better classification performance than that of qualitative diagnosis using Gd-EOB-MRI and DW imaging in differentiation of sHCCs from DNs in cirrhotic liver. TA-based MRI may become a potential imaging biomarker for the early differentiation HCCs from DNs in cirrhosis.
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Affiliation(s)
- Xi Zhong
- Department of Radiology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China
| | - Hongsheng Tang
- Department of Abdominal Surgery, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China
| | - Bingui Lu
- Department of Radiology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China
| | - Jia You
- Department of Radiology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China
| | - Jinsong Piao
- Department of Pathology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China
| | - Peiyu Yang
- Department of Radiology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China
| | - Jiansheng Li
- Department of Radiology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China
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Personalized 3D-Printed Transparent Liver Model Using the Hepatobiliary Phase MRI: Usefulness in the Lesion-by-Lesion Imaging-Pathologic Matching of Focal Liver Lesions-Preliminary Results. Invest Radiol 2019; 54:138-145. [PMID: 30379728 DOI: 10.1097/rli.0000000000000521] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
PURPOSE The aim of this study was to investigate the usefulness of a personalized, 3-dimensional (3D)-printed, transparent liver model with focal liver lesions (FLLs) for lesion-by-lesion imaging-pathologic matching. MATERIALS AND METHODS This preliminary, prospective study was approved by our institutional review board, and written informed consent was obtained. Twenty patients (male-to-female ratio, 13:7; mean age, 56 years) with multiple FLLs, including at least one presumed malignant, or an indeterminate lesion 10 mm or less on the preoperative gadoxetic acid-enhanced magnetic resonance imaging (MRI), were included. After digital segmentation of hepatobiliary phase MRI, a transparent, 3D-printed liver model with colored anatomical structures and FLLs was produced. During the gross examination of the liver specimen, the per-lesion detection rates were compared between those without (routine protocol) and those with the aid of the 3D-printed liver model. RESULTS Among 98 MRI-detected FLLs (11.5 ± 12.5 mm), the per-lesion detection rate on gross examination using the 3D-printed liver model was 99.0% (97/98), which was significantly higher than that obtained on routine examination (82.7% [81/98]; P < 0.001). In the subgroup analysis, according to the tumor size, 23.9% (16/67) of FLLs 10 mm or less were additionally detected using the liver model, whereas none were additionally detected in greater than 10 mm. The additionally detected 16 FLLs in 12 patients included histologic diagnoses of viable metastases, pathologic complete response of metastases, hepatocellular carcinomas, focal nodular hyperplasia-like nodules, and hemangiomas. CONCLUSIONS A personalized, 3D-printed liver model with FLLs may improve the lesion-by-lesion imaging-pathologic matching for small FLLs, thus leading to accurate pathologic tumor staging and obtaining a reliable reference for imaging-detected FLLs.
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Vernuccio F, Cannella R, Meyer M, Choudhoury KR, Gonzáles F, Schwartz FR, Gupta RT, Bashir MR, Furlan A, Marin D. LI-RADS: Diagnostic Performance of Hepatobiliary Phase Hypointensity and Major Imaging Features of LR-3 and LR-4 Lesions Measuring 10-19 mm With Arterial Phase Hyperenhancement. AJR Am J Roentgenol 2019; 213:W57-W65. [PMID: 31039012 DOI: 10.2214/ajr.18.20979] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
OBJECTIVE. The purpose of this study was to determine the diagnostic performance of hepatobiliary phase hypointensity and Liver Imaging Reporting and Data System (LI-RADS) major imaging features in the diagnosis of hepatocellular carcinoma (HCC) in hepatic lesions with arterial phase hyperenhancement (APHE) measuring 10-19 mm in patients at high risk of HCC. MATERIALS AND METHODS. A composite reference standard of pathologic analysis and imaging follow-up was used. The diagnostic performance (sensitivity and specificity) of hepatobiliary phase hypointensity and LI-RADS major imaging features other than APHE for the diagnosis of HCC was assessed and compared by means of a logistic regression model. RESULTS. This retrospective dual-institution study included 189 LI-RADS LR-3 and LR-4 lesions measuring 10-19 mm and having APHE in 144 consecutively registered patients (96 men, 48 women; mean age, 58 years). Hepatobiliary phase hypointensity had significantly higher sensitivity (84% [92/109], p < 0.00001) than major imaging features in the diagnosis of HCC but lower specificity (84% [67/80]; p = 0.01). However, hepatobiliary phase hypointensity in LR-3 observations measuring 10-19 mm and having APHE had moderately elevated sensitivity (73% [44/60]) and specificity (85%, 64/75). All three major imaging features had high specificity for the diagnosis of HCC, including 95% (76/80) for washout, 100% (80/80) for enhancing capsule, and 99% (79/80) for threshold growth. CONCLUSION. Major imaging features have high specificity for the diagnosis of HCC in lesions measuring 10-19 mm that have APHE. The finding of hepatobiliary phase hypointensity significantly improves sensitivity while moderately high specificity is maintained for the diagnosis of HCC in LR-3 lesions measuring 10-19 mm that exhibit APHE.
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Affiliation(s)
- Federica Vernuccio
- 1 Department of Radiology, Duke University Medical Center, 2301 Erwin Rd, Durham, NC 27710
- 2 Promozione della Salute, Materno-Infantile, di Medicina Interna e Specialistica di Eccellenza G. D'Alessandro, University of Palermo, Palermo, Italy
| | - Roberto Cannella
- 3 Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, PA
- 4 Department of Biopathology and Medical Biotechnologies, University of Palermo, Palermo, Italy
| | - Mathias Meyer
- 1 Department of Radiology, Duke University Medical Center, 2301 Erwin Rd, Durham, NC 27710
| | - Kingshuk Roy Choudhoury
- 5 Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC
| | - Fernando Gonzáles
- 1 Department of Radiology, Duke University Medical Center, 2301 Erwin Rd, Durham, NC 27710
- 6 Department of Radiology, Clínica Alemana de Santiago, Universidad del Desarrollo, Santiago, Chile
| | - Fides R Schwartz
- 1 Department of Radiology, Duke University Medical Center, 2301 Erwin Rd, Durham, NC 27710
| | - Rajan T Gupta
- 1 Department of Radiology, Duke University Medical Center, 2301 Erwin Rd, Durham, NC 27710
| | - Mustafa R Bashir
- 1 Department of Radiology, Duke University Medical Center, 2301 Erwin Rd, Durham, NC 27710
- 7 Center for Advanced Magnetic Resonance Development and Department of Medicine, Duke University, Durham, NC
| | - Alessandro Furlan
- 3 Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, PA
| | - Daniele Marin
- 1 Department of Radiology, Duke University Medical Center, 2301 Erwin Rd, Durham, NC 27710
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Kim SS, Kim SH, Song KD, Choi SY, Heo NH. Value of gadoxetic acid-enhanced MRI and diffusion-weighted imaging in the differentiation of hypervascular hyperplastic nodule from small (<3 cm) hypervascular hepatocellular carcinoma in patients with alcoholic liver cirrhosis: A retrospective case-control study. J Magn Reson Imaging 2019; 51:70-80. [PMID: 31062483 DOI: 10.1002/jmri.26768] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2019] [Accepted: 04/18/2019] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Hypervascular hyperplastic nodules (HHNs) occasionally develop in patients with alcoholic liver cirrhosis (ALC) and show arterial enhancement, thus mimicking hepatocellular carcinoma (HCC). Importantly, HHN as a benign lesion should be distinguished from HCC. PURPOSE To evaluate the value of gadoxetic acid-enhanced MRI (Gd-EOB-MRI) and diffusion-weighted imaging (DWI) in distinguishing HHN from small (<3 cm) hypervascular HCC (hHCC) in patients with ALC. STUDY TYPE Retrospective case-control study. FIELD STRENGTH/SEQUENCE 3.0T/in- and out-of-phase, T1 -weighted, T2 -weighted, diffusion-weighted, apparent diffusion coefficient, and dynamic gadoxetic acid-enhanced images. POPULATION Among 560 patients with ALC who underwent Gd-EOB-MRI and DWI, 12 patients with 28 HHNs and 22 patients with 29 hHCCs smaller than 3 cm were included. ASSESSMENT The following MRI features were evaluated by three independent radiologists: signal intensity (SI) on T1 -weighted, T2 -weighted, diffusion-weighted, and hepatobiliary phase (HBP) images; shape, homogeneity, and margin on HBP; diffusion restriction; intralesional fat; necrosis; hemorrhage; washout on portal venous phase (PVP) and/or transitional phase (TP); and capsular enhancement. Quantitative analysis was also conducted. STATISTICAL TESTS Univariate and multivariate analyses were performed to determine the significant MRI findings, and their diagnostic performance for the prediction of HHN was analyzed. RESULTS Lesion size of ≤16 mm (odds ratio [OR], 24.41; P = 0.007), low-to-iso SI on DWI (OR, 26.92; P = 0.007), and absence of washout on PVP and/or TP (OR, 31.84; P = 0.009) were significant independent factors for predicting HHN. When all three criteria were satisfied, the specificity was 100%. Compared with hHCCs, HHNs showed significantly smaller size (mean, 13.8 mm vs. 19.9 mm; P < 0.001) and higher mean SI value (994.0 vs. 669.5) and lesion-to-liver SI ratio (1.045 vs. 0.806) on HBP (P < 0.001, respectively). DATA CONCLUSION Gd-EOB-MRI and DWI may be helpful in differentiating HHN from small hHCC in patients with ALC. LEVEL OF EVIDENCE 3 Technical Efficacy Stage: 2 J. Magn. Reson. Imaging 2020;51:70-80.
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Affiliation(s)
- Seung Soo Kim
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Department of Radiology, Soonchunhyang University College of Medicine, Cheonan Hospital, Cheonan-si, Chungcheongnam-do, Korea
| | - Seong Hyun Kim
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Kyoung Doo Song
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Seo-Youn Choi
- Department of Radiology, Soonchunhyang University College of Medicine, Bucheon Hospital, Bucheon, Korea
| | - Nam Hun Heo
- Clinical Trial Center, Soonchunhyang University Cheonan Hospital, Cheonan-si, Chungcheongnam-do, Korea
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Zhou Y, Jing X, Zhang X, Ding J, Wang Y, Zhou H, Zhang Q, Chen Y, Yue W. Combining the Arterial Phase of Contrast-Enhanced Ultrasonography, Gadoxetic Acid-Enhanced Magnetic Resonance Imaging and Diffusion-Weighted Imaging in the Diagnosis of Hepatic Nodules ≤20 mm in Patients with Cirrhosis. ULTRASOUND IN MEDICINE & BIOLOGY 2019; 45:693-701. [PMID: 30606633 DOI: 10.1016/j.ultrasmedbio.2018.10.019] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2018] [Revised: 10/16/2018] [Accepted: 10/18/2018] [Indexed: 06/09/2023]
Abstract
Contrast-enhanced ultrasonography (CEUS) and gadoxetic acid-enhanced magnetic resonance imaging (EOB-MRI) were compared with respect to diagnostic efficacy in the detection of small hepatocellular carcinoma. A new diagnostic strategy that combines the arterial phase of CEUS, the hepatobiliary phase of EOB-MRI and diffusion-weighted MR imaging (DWI) is described. One hundred sixteen nodules were enrolled to validate the performance of the strategy. For lesions ≤20 mm in size, the areas under the receiver operating characteristic curves (Az) of CEUS and EOB-MRI were 0.930 (95% confidence interval [CI]: 0.867-0.969) and 0.920 (95% CI: 0.855-0.962) (p = 0.796), respectively. The Az value of the new diagnostic strategy was 0.985 (95% CI: 0.942-0.999) (vs. CEUS, p = 0.026; vs. EOB-MRI, p = 0.014). The sensitivity, specificity and diagnostic accuracy of the new strategy were 95.5% (95% CI: 88.9%-98.8%), 96.3% (95% CI: 81.0%-99.9%) and 95.7% (95% CI: 91.9%-99.4%), respectively. The new diagnostic strategy based on the arterial phase of CEUS, hepatobiliary phase of EOB-MRI and DWI represents an appealing solution for distinguishing small hepatocellular carcinomas from benign lesions, especially when the nodules present atypical enhancement patterns.
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Affiliation(s)
- Yan Zhou
- Department of Ultrasound, Tianjin Third Central Hospital, Tianjin, China; Tianjin Institute of Hepatobiliary Disease, Tianjin Key Laboratory of Artificial Cell, Artificial Cell Engineering Technology Research Center of Public Health Ministry, Tianjin Third Central Hospital, Tianjin, China
| | - Xiang Jing
- Department of Ultrasound, Tianjin Third Central Hospital, Tianjin, China; Tianjin Institute of Hepatobiliary Disease, Tianjin Key Laboratory of Artificial Cell, Artificial Cell Engineering Technology Research Center of Public Health Ministry, Tianjin Third Central Hospital, Tianjin, China.
| | - Xiang Zhang
- Department of Radiology, Tianjin Third Central Hospital, Tianjin, China
| | - Jianmin Ding
- Department of Ultrasound, Tianjin Third Central Hospital, Tianjin, China; Tianjin Institute of Hepatobiliary Disease, Tianjin Key Laboratory of Artificial Cell, Artificial Cell Engineering Technology Research Center of Public Health Ministry, Tianjin Third Central Hospital, Tianjin, China
| | - Yandong Wang
- Department of Ultrasound, Tianjin Third Central Hospital, Tianjin, China; Tianjin Institute of Hepatobiliary Disease, Tianjin Key Laboratory of Artificial Cell, Artificial Cell Engineering Technology Research Center of Public Health Ministry, Tianjin Third Central Hospital, Tianjin, China
| | - Hongyu Zhou
- Department of Ultrasound, Tianjin Third Central Hospital, Tianjin, China; Tianjin Institute of Hepatobiliary Disease, Tianjin Key Laboratory of Artificial Cell, Artificial Cell Engineering Technology Research Center of Public Health Ministry, Tianjin Third Central Hospital, Tianjin, China
| | - Qin Zhang
- Department of Pathology, Tianjin Third Central Hospital, Tianjin, China
| | - Ying Chen
- Third Affiliated Hospital of Tianjin Medical University, Tianjin, China
| | - Wenjun Yue
- Third Affiliated Hospital of Tianjin Medical University, Tianjin, China
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Chernyak V, Fowler KJ, Heiken JP, Sirlin CB. Use of gadoxetate disodium in patients with chronic liver disease and its implications for liver imaging reporting and data system (LI-RADS). J Magn Reson Imaging 2019; 49:1236-1252. [DOI: 10.1002/jmri.26540] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2018] [Revised: 09/23/2018] [Accepted: 09/26/2018] [Indexed: 12/17/2022] Open
Affiliation(s)
- Victoria Chernyak
- Department of Radiology, Montefiore Medical Center; Bronx New York USA
| | - Kathryn J. Fowler
- Liver Imaging Group, Department of Radiology; University of California - San Diego; California USA
| | - Jay P. Heiken
- Department of Radiology; Mayo Clinic; Rochester Minnesota USA
| | - Claude B. Sirlin
- Liver Imaging Group, Department of Radiology; University of California - San Diego; California USA
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Cerny M, Chernyak V, Olivié D, Billiard JS, Murphy-Lavallée J, Kielar AZ, Elsayes KM, Bourque L, Hooker JC, Sirlin CB, Tang A. LI-RADS Version 2018 Ancillary Features at MRI. Radiographics 2018; 38:1973-2001. [DOI: 10.1148/rg.2018180052] [Citation(s) in RCA: 59] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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McNamara MM, Thomas JV, Alexander LF, Little MD, Bolus DN, Li YE, Morgan DE. Diffusion-weighted MRI as a screening tool for hepatocellular carcinoma in cirrhotic livers: correlation with explant data-a pilot study. Abdom Radiol (NY) 2018; 43:2686-2692. [PMID: 29500648 DOI: 10.1007/s00261-018-1535-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
OBJECTIVE The purpose of this study was to compare the sensitivity and specificity of diffusion-weighted liver MRI alone with complete, multiphasic gadoteridol-enhanced MRI for the detection of hepatocellular carcinoma in cirrhotic patients before liver transplant. MATERIALS AND METHODS This single institution retrospective study was performed after IRB approval and was HIPAA compliant. MRI scans of 37 patients who underwent liver transplant were evaluated and findings correlated with liver explant (36) or biopsy (1). All MRI scans were obtained within six months of explant. MRI from 17 patients with liver lesions by report at imaging subsequently proven to be HCC at pathology and 20 controls without liver lesions by imaging and pathology were reviewed in random order on the radiology PACS by three independent readers blinded to the MRI reports and pathology reports in two separate sittings. First, only the diffusion-weighted images (DWI) were interpreted. Second, the complete multiphasic MRI exam with DWI was reviewed. A consensus read was obtained by two separate radiologists who had access to the patients' explant data in order to map lesions. Reader-specific and pooled classification was assessed using sensitivity, specificity, positive predictive value, and negative predictive values and corresponding 95% confidence intervals (CI) for both DWI and complete MRI examination readings compared to pathology. McNemar's test and Kappa coefficient were used to assess differences (agreement) in DWI and complete examination readings. RESULTS A total of 37 patients have been studied (25M 12F age range 21-70). Averaged results of the three independent readers demonstrated a sensitivity of 78% (95% CI 65-89%) and specificity of 88% (95% CI 77-95%) for DWI alone for detection of liver lesions, with a positive predictive value of 85% (95% CI 72-94%) and a negative predictive value of 83% (95% CI 71-91%). Review of the complete MRI exam showed a sensitivity of 90% (95% CI 76-97%) and a specificity of 82% (95% CI 66-92%) with a positive predictive value of 83% (95% CI 69-93%) and a negative predictive value of 89% (95% CI 74-97%). McNemar's agreement test revealed no significant difference between the DWI and complete multiphasic interpretations (p = 0.3458), with simple Kappa coefficient of 0.6716 (95% CI 0.5332-0.8110). Lesions identified on DWI ranged in size from 1.5 to 5 cm. Detection of lesions was decreased in the presence of artifact from motion, large ascites, and technical issues. CONCLUSION Diffusion-weighted MRI has NPV and PPV comparable to complete multiphasic MRI examination for liver lesion detection in cirrhotic patients and may have a role in screening.
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Affiliation(s)
- M M McNamara
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL, USA.
| | - J V Thomas
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - L F Alexander
- Department of Radiology, Mayo Clinic Florida, Jacksonville, FL, USA
| | - M D Little
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - D N Bolus
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Yufeng E Li
- Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - D E Morgan
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL, USA
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Renzulli M, Biselli M, Brocchi S, Granito A, Vasuri F, Tovoli F, Sessagesimi E, Piscaglia F, D'Errico A, Bolondi L, Golfieri R. New hallmark of hepatocellular carcinoma, early hepatocellular carcinoma and high-grade dysplastic nodules on Gd-EOB-DTPA MRI in patients with cirrhosis: a new diagnostic algorithm. Gut 2018; 67:1674-1682. [PMID: 29437912 DOI: 10.1136/gutjnl-2017-315384] [Citation(s) in RCA: 110] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2017] [Revised: 01/02/2018] [Accepted: 01/08/2018] [Indexed: 02/07/2023]
Abstract
OBJECTIVE Many improvements have been made in diagnosing hepatocellular carcinoma (HCC), but the radiological hallmarks of HCC have remained the same for many years. We prospectively evaluated the imaging criteria of HCC, early HCC and high-grade dysplastic nodules (HGDNs) in patients under surveillance for chronic liver disease, using gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid (Gd-EOB-DTPA) MRI and diffusion-weighted imaging. DESIGN Our study population included 420 nodules >1 cm in 228 patients. The MRI findings of each nodule were collected in all sequences/phases. The diagnosis of HCC was made according to the American Association for the Study of Liver Diseases (AASLD) criteria; all atypical nodules were diagnosed using histology. RESULTS A classification and regression tree was developed using three MRI findings which were independently significant correlated variables for early HCC/HCC, and the best sequence of their application in a new diagnostic algorithm (hepatobiliary hypointensity, arterial hyperintensity and diffusion restriction) was suggested. This algorithm demonstrated, both in the entire study population and for nodules ≤2 cm, higher sensitivity (96% [95% CI 93.5% to 97.6%] and 96.6% [95% CI 93.9% to 98.5%], P<0.001, respectively) and slightly lower specificity (91.8% [95% CI 88.6% to 94.1%], P=0.063, and 92.7% [95% CI 88.9% to 95.4%], P=0.125, respectively) than those of the AASLD criteria. Our new diagnostic algorithm also showed a very high sensitivity (94.7%; 95% CI 92% to 96.6%) and specificity (99.3%; 95% CI 97.7% to 99.8%) in classifying HGDN. CONCLUSION Our new diagnostic algorithm demonstrated significantly higher sensitivity and comparable specificity than those of the AASLD imaging criteria for HCC in patients with cirrhosis evaluated using Gd-EOB-DTPA MRI, even for lesions ≤2 cm. Moreover, this diagnostic algorithm allowed evaluating other lesions which could arise in a cirrhotic liver, such as early HCC and HGDN.
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Affiliation(s)
- Matteo Renzulli
- Radiology Unit, Department of Diagnostic Medicine and Prevention, Sant'Orsola Hospital, University of Bologna, Bologna, Italy
| | - Maurizio Biselli
- Department of Medical and Surgical Sciences, Sant'Orsola Hospital, University of Bologna, Bologna, Italy
| | - Stefano Brocchi
- Radiology Unit, Department of Diagnostic Medicine and Prevention, Sant'Orsola Hospital, University of Bologna, Bologna, Italy
| | - Alessandro Granito
- Unit of Internal Medicine, Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy
| | - Francesco Vasuri
- 'F Addarii' Institute of Oncology and Transplantation Pathology, Sant'Orsola Hospital, University of Bologna, Bologna, Italy
| | - Francesco Tovoli
- Unit of Internal Medicine, Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy
| | - Elisa Sessagesimi
- Radiology Unit, Department of Diagnostic Medicine and Prevention, Sant'Orsola Hospital, University of Bologna, Bologna, Italy
| | - Fabio Piscaglia
- Unit of Internal Medicine, Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy
| | - Antonietta D'Errico
- 'F Addarii' Institute of Oncology and Transplantation Pathology, Sant'Orsola Hospital, University of Bologna, Bologna, Italy
| | - Luigi Bolondi
- Unit of Internal Medicine, Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy
| | - Rita Golfieri
- Radiology Unit, Department of Diagnostic Medicine and Prevention, Sant'Orsola Hospital, University of Bologna, Bologna, Italy
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Thompson SM, Garg I, Ehman EC, Sheedy SP, Bookwalter CA, Carter RE, Roberts LR, Venkatesh SK. Non-alcoholic fatty liver disease-associated hepatocellular carcinoma: effect of hepatic steatosis on major hepatocellular carcinoma features at MRI. Br J Radiol 2018; 91:20180345. [PMID: 30074820 DOI: 10.1259/bjr.20180345] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
OBJECTIVE: To evaluate the effect of hepatic steatosis on LI-RADS® major features at MRI in patients with non-alcoholic fatty liver disease (NAFLD)-associated hepatocellular carcinoma (HCC). METHODS: HCC and liver parenchyma features at MRI from 48 consecutive patients with NAFLD and histology proven HCC (mean ± SD; 4.5 ± 3.4 cm) were independently reviewed by three radiologists. Inter-rater agreement was determined by prevalence/bias-adjusted kappa. Hepatic fat signal fraction (FS%) was independently calculated. HCC features were compared by FS% at MRI using logistic regression analysis and histologic steatosis grade using Cochran-Armitage test for trend, stratified by cirrhotic liver morphology or histologic fibrosis stage. Receiver operating characteristic curves were generated to determine the sensitivity and specificity for major HCC features by FS%. RESULTS: Major HCC features included arterial phase hyperenhancement (APHE) in 45 (93%), portal venous phase washout (PVWO) in 30 (63%), delayed phase washout (DPWO) in 38 (79%) and enhancing "capsule" in 34 (71%). Cirrhotic morphology was present in 22 (46%). Inter-rater agreement was 0.75 for APHE, 0.42-0.58 for PVWO, 0.58-0.71 for DPWO and 0.38-0.67 for enhancing "capsule". There was an 18%, 14% and 22% increase in the odds of absent PVWO, DPWO and capsule appearance for every 1% increase in hepatic FS% in patients with non-cirrhotic liver morphology (p = 0.011, 0.040 and 0.029, respectively). Hepatic FS% ≥ 14.8% had a sensitivity and specificity of 64 and 100% for absent PVWO and 71 and 90% for absent DPWO in patients with non-cirrhotic liver morphology. CONCLUSION: Absent washout and capsule appearance are associated with increasing hepatic steatosis in patients with non-cirrhotic, NAFLD-associated HCC. ADVANCES IN KNOWLEDGE: In patients with non-cirrhotic, non-alcoholic fatty liver disease (NAFLD)-associated hepatocellular carcinoma (HCC), absent HCC washout and capsule appearance are associated with increasing hepatic steatosis, thereby potentially impacting the noninvasive imaging diagnosis of HCC in these patients. Lack of washout or capsule appearance in steatotic livers at MRI may require alternative criteria for the diagnosis of HCC in patients with non-cirrhotic NAFLD.
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Affiliation(s)
- Scott M Thompson
- 1 Department of Radiology, Mayo Clinic School of Medicine, Mayo Clinic , Rochester, MN , USA
| | - Ishan Garg
- 1 Department of Radiology, Mayo Clinic School of Medicine, Mayo Clinic , Rochester, MN , USA
| | - Eric C Ehman
- 1 Department of Radiology, Mayo Clinic School of Medicine, Mayo Clinic , Rochester, MN , USA
| | - Shannon P Sheedy
- 1 Department of Radiology, Mayo Clinic School of Medicine, Mayo Clinic , Rochester, MN , USA
| | - Candice A Bookwalter
- 1 Department of Radiology, Mayo Clinic School of Medicine, Mayo Clinic , Rochester, MN , USA
| | - Rickey E Carter
- 2 Division of Biomedical Statistics and Informatics, Mayo Clinic School of Medicine, Mayo Clinic , Jacksonville, FL , USA
| | - Lewis R Roberts
- 3 Division of Gastroenterology and Hepatology, Mayo Clinic School of Medicine, Mayo Clinic , Rochester, MN , USA
| | - Sudhakar K Venkatesh
- 1 Department of Radiology, Mayo Clinic School of Medicine, Mayo Clinic , Rochester, MN , USA
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Inchingolo R, Faletti R, Grazioli L, Tricarico E, Gatti M, Pecorelli A, Ippolito D. MR with Gd-EOB-DTPA in assessment of liver nodules in cirrhotic patients. World J Hepatol 2018; 10:462-473. [PMID: 30079132 PMCID: PMC6068846 DOI: 10.4254/wjh.v10.i7.462] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2018] [Revised: 04/25/2018] [Accepted: 05/30/2018] [Indexed: 02/06/2023] Open
Abstract
To date the imaging diagnosis of liver lesions is based mainly on the identification of vascular features, which are typical of overt hepatocellular carcinoma (HCC), but the hepatocarcinogenesis is a complex and multistep event during which, a spectrum of nodules develop within the liver parenchyma, including benign small and large regenerative nodule (RN), low-grade dysplastic nodule (LGDN), high-grade dysplastic nodule (HGDN), early HCC, and well differentiated HCC. These nodules may be characterised not only on the basis of their respective different blood supplies, but also on their different hepatocyte function. Recently, in liver imaging the introduction of hepatobiliary magnetic resonance imaging contrast agent offered the clinicians the possibility to obtain, at once, information not only related to the vascular changes of liver nodules but also information on hepatocyte function. For this reasons this new approach becomes the most relevant diagnostic clue for differentiating low-risk nodules (LGDN-RN) from high-risk nodules (HGDN/early HCC or overt HCC) and consequently new diagnostic algorithms for HCC have been proposed. The use of hepatobiliary contrast agents is constantly increasing and gradually changing the standard of diagnosis of HCC. The main purpose of this review is to underline the added value of Gd-EOB-DTPA in early-stage diagnoses of HCC. We also analyse the guidelines for the diagnosis and management of HCC, the key concepts of HCC development, growth and spread and the imaging appearance of precursor nodules that eventually may transform into overt HCC.
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Affiliation(s)
- Riccardo Inchingolo
- Division of Interventional Radiology, Department of Radiology, Madonna delle Grazie Hospital, Matera 75100, Italy
| | - Riccardo Faletti
- Department of Surgical Sciences, Radiology Unit, University of Turin, Turin 10126, Italy
| | - Luigi Grazioli
- Department of Radiology, University of Brescia “Spedali Civili”, Brescia 25123, Italy
| | - Eleonora Tricarico
- Division of Interventional Radiology, Department of Radiology, Madonna delle Grazie Hospital, Matera 75100, Italy
| | - Marco Gatti
- Department of Surgical Sciences, Radiology Unit, University of Turin, Turin 10126, Italy
| | - Anna Pecorelli
- Department of Diagnostic Radiology, School of Medicine, University of Milano-Bicocca, Monza 20900, Italy
| | - Davide Ippolito
- Department of Diagnostic Radiology, School of Medicine, University of Milano-Bicocca, Monza 20900, Italy
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Jiang H, Zheng T, Duan T, Chen J, Song B. Non-invasive in vivo Imaging Grading of Liver Fibrosis. J Clin Transl Hepatol 2018; 6:198-207. [PMID: 29951365 PMCID: PMC6018309 DOI: 10.14218/jcth.2017.00038] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2017] [Revised: 10/25/2017] [Accepted: 11/29/2017] [Indexed: 02/05/2023] Open
Abstract
Liver fibrosis (LF), a common consequence of chronic liver diseases with various etiologies, is characterized by excessive accumulation of macromolecules, including collagen, glycoproteins and proteoglycans, in the liver. LF can result in hepatic dysfunction, cirrhosis, portal hypertension and, in some cases, hepatocellular carcinoma. As the current gold standard for diagnosing LF, liver biopsy, however, is invasive and prone to sampling errors and procedure-related complications. Therefore, developing noninvasive, precise and reproducible imaging tests for diagnosing and staging LF is of great significance. Conventional ultrasound (US), computed tomography (CT) and magnetic resonance (MR) imaging can depict morphological alterations of advanced LF, but have relatively limited capability characterizing early-stage LF. In order to optimize the diagnostic performances of noninvasive imaging techniques for LF across its entire spectrum of severity, a number of novel methods, including US elastography, CT perfusion imaging and various MR imaging-based techniques, have been established and introduced to clinical practice. In this review, we intended to summarize current noninvasive imaging techniques for LF, with special emphasis on the possible roles, advantages and limitations of the new emerging imaging modalities.
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Affiliation(s)
- Hanyu Jiang
- Department of Radiology, Sichuan University West China Hospital, Chengdu, China
| | - Tianying Zheng
- Department of Radiology, Sichuan University West China Hospital, Chengdu, China
| | - Ting Duan
- Department of Radiology, Sichuan University West China Hospital, Chengdu, China
| | - Jie Chen
- Department of Radiology, Sichuan University West China Hospital, Chengdu, China
| | - Bin Song
- Department of Radiology, Sichuan University West China Hospital, Chengdu, China
- *Correspondence to: Bin Song, Department of Radiology, Sichuan University West China Hospital, No. 37 Guoxue Alley, Chengdu, Sichuan 610041, China. Tel: +86-28-85423680, +86-13881918066, E-mail:
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Moon JY, Kim SH, Choi SY, Hwang JA, Lee JE, Lee J. Differentiating malignant from benign hyperintense nodules on unenhanced T1-weighted images in patients with chronic liver disease: using gadoxetic acid-enhanced and diffusion-weighted MR imaging. Jpn J Radiol 2018; 36:489-499. [PMID: 29876721 DOI: 10.1007/s11604-018-0748-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2018] [Accepted: 05/28/2018] [Indexed: 01/04/2023]
Abstract
PURPOSE To evaluate value of gadoxetic acid-enhanced and diffusion-weighted (DW) MRI for distinguishing malignant from benign hyperintense nodules on unenhanced T1-weighted images (T1WIs) in patients with chronic liver disease. MATERIALS AND METHODS Forty-two patients with 37 malignant and 41 benign hyperintense nodules on unenhanced T1WIs who underwent gadoxetic acid-enhanced and DW MRI, followed by histopathological examination, were included. Qualitative and quantitative analyses were conducted. Significant findings on univariate and multivariate analyses were identified and their diagnostic performances were analyzed for predicting hyperintense hepatocellular carcinomas (HCCs). RESULTS In univariate analysis, hyperintensity on T2WI, arterial enhancement, washout, hypointensity on hepatobiliary phase, and diffusion restriction were more frequently observed (P < 0.05) in hyperintense HCCs. Tumor-to-liver SI ratio on hepatobiliary phase and minimum apparent diffusion coefficient (ADCmin) were significantly lower in hyperintense HCCs (P < 0.05). In multivariate analysis, hyperintensity on T2WI (OR, 13.58; P = 0.02), arterial enhancement (OR, 8.21; P = 0.002), and ADCmin ≤ 0.83 × 10-3 mm2/s (OR, 6.88; P = 0.008) were independently significant factors for predicting hyperintense HCCs. When two of three criteria were combined, 75.7% (28/37) of hyperintense HCCs were identified with a specificity of 92.7%, and when all three criteria were satisfied, the specificity was 97.6%. CONCLUSION Gadoxetic acid-enhanced and DW MRI may be helpful for differentiating malignant from benign hyperintense nodules on unenhanced T1WI.
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Affiliation(s)
- Ji Yoon Moon
- Department of Radiology, Kangdong Seong-Sim Hospital, Hallym University College of Medicine, 150 Seongan-ro Gangdong-Gu, Seoul, 134-701, South Korea
| | - Seong Hyun Kim
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Ilwon-Ro, Gangnam-gu, Seoul, 135-710, South Korea.
| | - Seo-Youn Choi
- Department of Radiology, Soonchunhyang University Bucheon Hospital, Bucheon, Kyunggi-do, South Korea
| | - Jeong Ah Hwang
- Department of Radiology, Soonchunhyang University Cheonan Hospital, Cheonan, Chungcheongnam-do, South Korea
| | - Ji Eun Lee
- Department of Radiology, Soonchunhyang University Bucheon Hospital, Bucheon, Kyunggi-do, South Korea
| | - Jisun Lee
- Department of Radiology, Chungbuk National University Hospital, 776, 1 Sunhwan-ro, Seowon-gu, Cheongju-si, Chungcheongbuk-do, South Korea
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Park IK, Yu JS, Cho ES, Kim JH, Chung JJ. Apparent diffusion coefficient of hepatocellular carcinoma on diffusion-weighted imaging: Histopathologic tumor grade versus arterial vascularity during dynamic magnetic resonance imaging. PLoS One 2018; 13:e0197070. [PMID: 29750794 PMCID: PMC5947906 DOI: 10.1371/journal.pone.0197070] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2017] [Accepted: 03/13/2018] [Indexed: 12/16/2022] Open
Abstract
Objectives Apparent diffusion coefficient (ADC) has been suggested to reflect the tumor grades of hepatocellular carcinomas (HCCs); i.e., it can be used as a biomarker to predict the patients’ prognosis. To verify its feasibility as a biomarker, the present study sought to determine how the ADC values of HCC are affected by a tumor’s histopathologic grade and arterial vascularity. Materials and methods From 131 consecutive patients, 141 surgically resected HCCs (16 well-differentiated [wd-HCCs], 83 moderately-differentiated [md-HCCs], and 42 poorly-differentiated HCCs [pd-HCCs]) were subjected to a comparison of the tumors’ arterial vascularity (non-, slightly-, or markedly-hypervascular) determined on dynamic magnetic resonance imaging (MRI) and the ADC was measured retrospectively. Results The pd-HCCs (1.05±0.16 × 10−3 mm2/s) had a significantly lower ADC than md-HCCs (1.16±0.21 × 10−3 mm2/s; p = 0.010), but there was no significant difference compared to wd-HCCs (1.11±0.18 × 10−3 mm2/s; p = 0.968). The mean ADC was significantly higher in markedly hypervascular lesions (1.20±0.20 × 10−3 mm2/s) than in nonhypervascular lesions (0.95±0.14 × 10−3mm2/s; p<0.001) or slightly hypervascular lesions (1.04±0.15 × 10−3mm2/s; p<0.001). The ADC values and arterial vascularity were significantly correlated in wd-HCCs (p = 0.005) and md-HCCs (p<0.001). The mean ADC of pd-HCCs was significantly lower than those of other lesions, even in the markedly hypervascular lesion subgroup (p = 0.020). Conclusion Although pd-HCC constantly shows low ADCs regardless of arterial vascularities, ADCs cannot stably stratify histopathologic tumor grades due to the variable features of wd-HCCs; and the ADC should be used with caution as a tumor biomarker of HCC.
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Affiliation(s)
- In Kyung Park
- Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Gangnam-Gu, Seoul, Korea
| | - Jeong-Sik Yu
- Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Gangnam-Gu, Seoul, Korea
- * E-mail:
| | - Eun-Suk Cho
- Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Gangnam-Gu, Seoul, Korea
| | - Joo Hee Kim
- Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Gangnam-Gu, Seoul, Korea
| | - Jae-Joon Chung
- Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Gangnam-Gu, Seoul, Korea
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Cerny M, Bergeron C, Billiard JS, Murphy-Lavallée J, Olivié D, Bérubé J, Fan B, Castel H, Turcotte S, Perreault P, Chagnon M, Tang A. LI-RADS for MR Imaging Diagnosis of Hepatocellular Carcinoma: Performance of Major and Ancillary Features. Radiology 2018; 288:118-128. [PMID: 29634435 DOI: 10.1148/radiol.2018171678] [Citation(s) in RCA: 92] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Purpose To evaluate the performance of major features, ancillary features, and categories of Liver Imaging Reporting and Data System (LI-RADS) version 2014 at magnetic resonance (MR) imaging for the diagnosis of hepatocellular carcinoma (HCC). Materials and Methods This retrospective institutional review board-approved study included patients with liver MR imaging and at least one pathologically proved lesion. Between 2004 and 2016, 102 patients (275 observations including 113 HCCs) met inclusion criteria. Two radiologists independently assessed major and ancillary imaging features for each liver observation and assigned a LI-RADS category. Per-lesion estimates of diagnostic performance of major features, ancillary features, and LI-RADS categories were assessed by using generalized estimating equation models. Results Major features (arterial phase hyperenhancement, washout, capsule, and threshold growth) had a sensitivity of 88.5%, 60.6%, 32.9%, and 41.6%, and a specificity of 18.6%, 84.8%, 98.8%, and 83.2% for HCC, respectively. Ancillary features (mild-moderate T2 hyperintensity, restricted diffusion, mosaic architecture, intralesional fat, lesional fat sparing, blood products, and subthreshold growth) had a sensitivity of 62.2%, 54.8%, 9.9%, 30.9%, 23.1%, 2.8%, and 48.3%, and a specificity of 79.4%, 90.6%, 99.4%, 94.2%, 83.1%, 99.3%, and 91.4% for HCC, respectively. The LR-5 or LR-5 V categories had a per-lesion sensitivity of 50.8% and a specificity of 95.8% for HCC, respectively. The LR-4, LR-5, or LR-5 V categories (determined by using major features only vs combination of major and ancillary features) had a per-lesion sensitivity of 75.9% and 87.9% and a per-lesion specificity of 87.5% and 86.2%, respectively. Conclusion The use of ancillary features in combination with major features increases the sensitivity while preserving a high specificity for the diagnosis of HCC.
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Affiliation(s)
- Milena Cerny
- From the Department of Radiology (M. Cerny, C.B., J.S.B., J.M.L., D.O., J.B., B.F., P.P., A.T.), Department of Hepatology and Liver Transplantation (H.C.), and Department of Surgery, Hepatopancreatobiliary and Liver Transplantation Division (S.T.), Centre hospitalier de l'Université de Montréal (CHUM), 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2; Centre de Recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada (S.T., A.T.); and Department of Mathematics and Statistics, Université de Montréal, Montréal, QC, Canada (M. Chagnon)
| | - Catherine Bergeron
- From the Department of Radiology (M. Cerny, C.B., J.S.B., J.M.L., D.O., J.B., B.F., P.P., A.T.), Department of Hepatology and Liver Transplantation (H.C.), and Department of Surgery, Hepatopancreatobiliary and Liver Transplantation Division (S.T.), Centre hospitalier de l'Université de Montréal (CHUM), 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2; Centre de Recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada (S.T., A.T.); and Department of Mathematics and Statistics, Université de Montréal, Montréal, QC, Canada (M. Chagnon)
| | - Jean-Sébastien Billiard
- From the Department of Radiology (M. Cerny, C.B., J.S.B., J.M.L., D.O., J.B., B.F., P.P., A.T.), Department of Hepatology and Liver Transplantation (H.C.), and Department of Surgery, Hepatopancreatobiliary and Liver Transplantation Division (S.T.), Centre hospitalier de l'Université de Montréal (CHUM), 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2; Centre de Recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada (S.T., A.T.); and Department of Mathematics and Statistics, Université de Montréal, Montréal, QC, Canada (M. Chagnon)
| | - Jessica Murphy-Lavallée
- From the Department of Radiology (M. Cerny, C.B., J.S.B., J.M.L., D.O., J.B., B.F., P.P., A.T.), Department of Hepatology and Liver Transplantation (H.C.), and Department of Surgery, Hepatopancreatobiliary and Liver Transplantation Division (S.T.), Centre hospitalier de l'Université de Montréal (CHUM), 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2; Centre de Recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada (S.T., A.T.); and Department of Mathematics and Statistics, Université de Montréal, Montréal, QC, Canada (M. Chagnon)
| | - Damien Olivié
- From the Department of Radiology (M. Cerny, C.B., J.S.B., J.M.L., D.O., J.B., B.F., P.P., A.T.), Department of Hepatology and Liver Transplantation (H.C.), and Department of Surgery, Hepatopancreatobiliary and Liver Transplantation Division (S.T.), Centre hospitalier de l'Université de Montréal (CHUM), 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2; Centre de Recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada (S.T., A.T.); and Department of Mathematics and Statistics, Université de Montréal, Montréal, QC, Canada (M. Chagnon)
| | - Joshua Bérubé
- From the Department of Radiology (M. Cerny, C.B., J.S.B., J.M.L., D.O., J.B., B.F., P.P., A.T.), Department of Hepatology and Liver Transplantation (H.C.), and Department of Surgery, Hepatopancreatobiliary and Liver Transplantation Division (S.T.), Centre hospitalier de l'Université de Montréal (CHUM), 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2; Centre de Recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada (S.T., A.T.); and Department of Mathematics and Statistics, Université de Montréal, Montréal, QC, Canada (M. Chagnon)
| | - Boyan Fan
- From the Department of Radiology (M. Cerny, C.B., J.S.B., J.M.L., D.O., J.B., B.F., P.P., A.T.), Department of Hepatology and Liver Transplantation (H.C.), and Department of Surgery, Hepatopancreatobiliary and Liver Transplantation Division (S.T.), Centre hospitalier de l'Université de Montréal (CHUM), 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2; Centre de Recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada (S.T., A.T.); and Department of Mathematics and Statistics, Université de Montréal, Montréal, QC, Canada (M. Chagnon)
| | - Hélène Castel
- From the Department of Radiology (M. Cerny, C.B., J.S.B., J.M.L., D.O., J.B., B.F., P.P., A.T.), Department of Hepatology and Liver Transplantation (H.C.), and Department of Surgery, Hepatopancreatobiliary and Liver Transplantation Division (S.T.), Centre hospitalier de l'Université de Montréal (CHUM), 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2; Centre de Recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada (S.T., A.T.); and Department of Mathematics and Statistics, Université de Montréal, Montréal, QC, Canada (M. Chagnon)
| | - Simon Turcotte
- From the Department of Radiology (M. Cerny, C.B., J.S.B., J.M.L., D.O., J.B., B.F., P.P., A.T.), Department of Hepatology and Liver Transplantation (H.C.), and Department of Surgery, Hepatopancreatobiliary and Liver Transplantation Division (S.T.), Centre hospitalier de l'Université de Montréal (CHUM), 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2; Centre de Recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada (S.T., A.T.); and Department of Mathematics and Statistics, Université de Montréal, Montréal, QC, Canada (M. Chagnon)
| | - Pierre Perreault
- From the Department of Radiology (M. Cerny, C.B., J.S.B., J.M.L., D.O., J.B., B.F., P.P., A.T.), Department of Hepatology and Liver Transplantation (H.C.), and Department of Surgery, Hepatopancreatobiliary and Liver Transplantation Division (S.T.), Centre hospitalier de l'Université de Montréal (CHUM), 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2; Centre de Recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada (S.T., A.T.); and Department of Mathematics and Statistics, Université de Montréal, Montréal, QC, Canada (M. Chagnon)
| | - Miguel Chagnon
- From the Department of Radiology (M. Cerny, C.B., J.S.B., J.M.L., D.O., J.B., B.F., P.P., A.T.), Department of Hepatology and Liver Transplantation (H.C.), and Department of Surgery, Hepatopancreatobiliary and Liver Transplantation Division (S.T.), Centre hospitalier de l'Université de Montréal (CHUM), 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2; Centre de Recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada (S.T., A.T.); and Department of Mathematics and Statistics, Université de Montréal, Montréal, QC, Canada (M. Chagnon)
| | - An Tang
- From the Department of Radiology (M. Cerny, C.B., J.S.B., J.M.L., D.O., J.B., B.F., P.P., A.T.), Department of Hepatology and Liver Transplantation (H.C.), and Department of Surgery, Hepatopancreatobiliary and Liver Transplantation Division (S.T.), Centre hospitalier de l'Université de Montréal (CHUM), 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2; Centre de Recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada (S.T., A.T.); and Department of Mathematics and Statistics, Université de Montréal, Montréal, QC, Canada (M. Chagnon)
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Galia M, Agnello F, Sparacia G, Matranga D, Albano D, Midiri M, Lagalla R. Evolution of indeterminate hepatocellular nodules at Gd-EOB-DPTA-enhanced MRI in cirrhotic patients. Radiol Med 2018; 123:489-497. [PMID: 29546493 DOI: 10.1007/s11547-018-0873-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2017] [Accepted: 03/06/2018] [Indexed: 02/06/2023]
Abstract
PURPOSE To retrospectively analyze the evolution of indeterminate hepatocellular nodules in cirrhotic patients on serial Gd-EOB-DPTA-enhanced MRI, and to identify predictors of HCC development. MATERIALS AND METHODS This IRB approved study included 33 cirrhotic patients with 69 indeterminate hepatocellular nodules (mean diameter 1.1 cm) at baseline Gd-EOB-DPTA-enhanced MRI and a Gd-EOB-DPTA-enhanced-MRI follow-up of at least 2 years. Two radiologists evaluated size and signal intensity of each nodule at baseline and follow-up. Age, cirrhosis etiology, and HCC history were recorded. Data were compared between nodules that became HCCs at follow-up (HCC) and those that did not (no-HCC). RESULTS On follow-up, 5/69 nodules became HCCs and 64/69 showed indeterminate characteristics. HCC history was more frequently found in HCCs than in no-HCCs. Age, sex, and cirrhosis etiology were not significantly different between HCCs and no-HCCs. HCCs had a significantly greater baseline diameter and increase in size than no-HCCs. Hepatobiliary phase hypointensity was significantly more common in HCCs than in no-HCCs. Multivariate regression analysis showed that increase in size (OR 10.48; sensitivity, 100%; specificity, 81.2%; p < 0.001) and hepatobiliary phase hypointensity (OR 1.02; sensitivity, 100%; specificity, 78.1%; p < 0.001) was associated with HCC development. CONCLUSION Indeterminate hepatocellular nodules at Gd-EOB-DPTA-enhanced MRI in cirrhotic patients rarely became HCCs. Hepatobiliary phase hypointensity had a weak association with HCC development.
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Affiliation(s)
- Massimo Galia
- Department of Radiology, University of Palermo, Via XII Gennaio 1/g, 90141, Palermo, Italy
| | - Francesco Agnello
- Department of Radiology, University of Palermo, Via XII Gennaio 1/g, 90141, Palermo, Italy.
| | - Gianvincenzo Sparacia
- Department of Radiology, University of Palermo, Via XII Gennaio 1/g, 90141, Palermo, Italy
| | - Domenica Matranga
- Department of Sciences for Health Promotion and Mother and Child Care "G. D'Alessandro", University of Palermo, Palermo, Italy
| | - Domenico Albano
- Department of Radiology, University of Palermo, Via XII Gennaio 1/g, 90141, Palermo, Italy
| | - Massimo Midiri
- Department of Radiology, University of Palermo, Via XII Gennaio 1/g, 90141, Palermo, Italy
| | - Roberto Lagalla
- Department of Radiology, University of Palermo, Via XII Gennaio 1/g, 90141, Palermo, Italy
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Chernyak V, Tang A, Flusberg M, Papadatos D, Bijan B, Kono Y, Santillan C. LI-RADS ® ancillary features on CT and MRI. Abdom Radiol (NY) 2018. [PMID: 28647768 DOI: 10.1007/s00261-017-1220-6] [Citation(s) in RCA: 51] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
The Liver Imaging Reporting and Data System (LI-RADS) uses an algorithm to assign categories that reflect the probability of hepatocellular carcinoma (HCC), non-HCC malignancy, or benignity. Unlike other imaging algorithms, LI-RADS utilizes ancillary features (AFs) to refine the final category. AFs in LI-RADS v2017 are divided into those favoring malignancy in general, those favoring HCC specifically, and those favoring benignity. Additionally, LI-RADS v2017 provides new rules regarding application of AFs. The purpose of this review is to discuss ancillary features included in LI-RADS v2017, the rationale for their use, potential pitfalls encountered in their interpretation, and tips on their application.
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Affiliation(s)
| | - An Tang
- Department of Radiology, Radio-Oncology and Nuclear Medicine, Université de Montréal, Montreal, QC, Canada
| | | | - Demetri Papadatos
- Department of Diagnostic Imaging, The Ottawa Hospital, Ottawa, ON, Canada
| | - Bijan Bijan
- Sutter Imaging (SMG)/University of California Davis (UCD), Sacramento, CA, USA
| | - Yuko Kono
- Department of Medicine, Gastroenterology and Hepatology, University of California, San Diego, CA, USA
| | - Cynthia Santillan
- Liver Imaging Group, Department of Radiology, University of California, San Diego, CA, USA
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Jin YJ, Cho SG, Lee KY, Kim JM, Lee JW. Association between relative liver enhancement on gadoxetic acid enhanced magnetic resonance images and histologic grade of hepatocellular carcinoma. Medicine (Baltimore) 2017; 96:e7580. [PMID: 28746206 PMCID: PMC5627832 DOI: 10.1097/md.0000000000007580] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
We evaluated the association between histologic grade of hepatocellular carcinoma (HCC) and degree of HCC enhancement on Gd-EOB-DTPA (Gadoxetic acid, Primovist)-enhanced magnetic resonance images (MRI) in HCC patients.A total of 121 patients who underwent curative surgical resection for HCC at our institution between January 2012 and March 2015 were retrospectively analyzed. Gadoxetic acid enhanced MRI was performed in all patients before surgery. Signal intensities of HCC and peri-HCC areas were measured using regions of interest. Relative intensity ratios of HCC lesions versus the surrounding non-HCC areas on unenhanced images (precontrast ratio) and on hepatobiliary phase images (postcontrast ratio) were calculated. Relative liver enhancement (RLE) ratios (post-contrast ratio/pre-contrast ratio) were also calculated. The Edmondson-Steiner (E-S) grading system was used to histologically grade HCC.E-S grades I, II, III, and IV were observed in 2 (1.7%), 14 (11.6%), 54 (44.6%), and 51 (42.1%) of the patients, respectively. For E-S grades I/II (n = 16), III (n = 54), and IV (n = 51), mean RLE (%) were 85.5, 84.9, and 71.2, respectively (P = .01), and for E-S grades I-III (n = 70) and IV (n = 51), mean RLE (%) were 85.1 and 71.2, respectively (P < .01). Barcelona Clinic Liver Cancer (BCLC) stage A (vs 0) (odds ratio 4.38, P = .03) and mean RLE (odds ratio 0.05, P < .01) were found to predict E-S grade IV.E-S grade IV was associated with a low level mean RLE in the gadoxetic acid enhanced MR images of HCC patients.
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Affiliation(s)
| | | | | | - Joon Mee Kim
- Department of Pathology, Inha University Hospital, Inha University School of Medicine, Incheon, South Korea
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Shin SK, Kim YS, Choi SJ, Shim YS, Jung DH, Kwon OS, Choi DJ, Kim JH. Characterization of small (≤3 cm) hepatic lesions with atypical enhancement feature and hypointensity in hepatobiliary phase of gadoxetic acid-enhanced MRI in cirrhosis: A STARD-compliant article. Medicine (Baltimore) 2017; 96:e7278. [PMID: 28723741 PMCID: PMC5521881 DOI: 10.1097/md.0000000000007278] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
It is difficult to characterize the nodular lesions in cirrhotic liver if typical enhancement pattern is not present on dynamic contrast-enhanced imagings. Although the signal intensity of the hepatobiliary phase in gadoxetic acid-enhanced magnetic resonance imaging (MRI) is helpful for characterization of the lesions, some dysplastic nodules may also exhibit low signal intensity in the hepatobiliary phase. We aimed to assess the usefulness of gadoxetic acid (Gd-EOB-DTPA)-enhanced MRI including diffusion-weighted imaging (DWI) for differentiation between atypical small hepatocellular carcinomas (HCCs) and dysplastic nodules showing low signal intensity (SI) in the hepatobiliary phase, and to evaluate the MRI findings in determining the histological grade of atypical HCCs in patients with cirrhosis.A total of 43 cirrhotic patients with a small (≤3 cm) liver nodule (n = 25, HCC; n = 18, dysplastic nodule) who underwent Gd-EOB-DTPA-enhanced MRI and pathologic confirmation were retrospectively reviewed. Atypical HCC was defined as not showing arterial hyperenhancement and delayed washout on dynamic MRI.High SI on both T2WI and DWI (sensitivity 80.0%, specificity 100%, positive predictive value 100%, negative predictive value 78.3%) was the most specific feature to differentiate atypical HCCs from dysplastic nodules. High SI on both T2WI and DWI (100% vs 61.5%, P = .039) or low SI on pre-enhanced T1WI (83.3% vs 30.8%, P = .021) was more frequent observed in Edmonson grade II-III HCCs compared with those in grade I HCCs.The combination of DWI and T2WI is most useful for the differentiation of atypical small HCCs from dysplastic nodules showing low SI in the hepatobiliary phase. Combination of DWI and T2WI or pre-enhanced T1WI seems to be useful for predicting the histological grade of atypical HCCs.
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Affiliation(s)
| | | | | | | | - Dong Hae Jung
- Department of Pathology, Gachon University Gil Medical Center, Incheon, Republic of Korea
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Non-Hypervascular Hypointense Nodules at Gadoxetic Acid MRI: Hepatocellular Carcinoma Risk Assessment with Emphasis on the Role of Diffusion-Weighted Imaging. J Gastrointest Cancer 2017; 49:302-310. [DOI: 10.1007/s12029-017-9952-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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Granata V, Fusco R, Avallone A, Catalano O, Filice F, Leongito M, Palaia R, Izzo F, Petrillo A. Major and ancillary magnetic resonance features of LI-RADS to assess HCC: an overview and update. Infect Agent Cancer 2017; 12:23. [PMID: 28465718 PMCID: PMC5410075 DOI: 10.1186/s13027-017-0132-y] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2017] [Accepted: 04/21/2017] [Indexed: 12/23/2022] Open
Abstract
Liver Imaging Reporting and Data System (LI-RADS) is a system for interpreting and reporting of imaging features on multidetector computed tomography (MDCT) and magnetic resonance (MR) studies in patients at risk for hepatocellular carcinoma (HCC). American College of Radiology (ACR) sustained the spread of LI-RADS to homogenizing the interpreting and reporting data of HCC patients. Diagnosis of HCC is due to the presence of major imaging features. Major features are imaging data used to categorize LI-RADS-3, LI-RADS-4, and LI-RADS-5 and include arterial-phase hyperenhancement, tumor diameter, washout appearance, capsule appearance and threshold growth. Ancillary are features that can be used to modify the LI-RADS classification. Ancillary features supporting malignancy (diffusion restriction, moderate T2 hyperintensity, T1 hypointensity on hapatospecifc phase) can be used to upgrade category by one or more categories, but not beyond LI-RADS-4. Our purpose is reporting an overview and update of major and ancillary MR imaging features in assessment of HCC.
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Affiliation(s)
- Vincenza Granata
- Radiology Division, "Istituto Nazionale Tumori - IRCCS - Fondazione G. Pascale", Via Mariano Semmola, Naples, Italy
| | - Roberta Fusco
- Radiology Division, "Istituto Nazionale Tumori - IRCCS - Fondazione G. Pascale", Via Mariano Semmola, Naples, Italy
| | - Antonio Avallone
- Abdominal Oncology Division, "Istituto Nazionale Tumori - IRCCS - Fondazione G. Pascale", Via Mariano Semmola, Naples, Italy
| | - Orlando Catalano
- Radiology Division, "Istituto Nazionale Tumori - IRCCS - Fondazione G. Pascale", Via Mariano Semmola, Naples, Italy
| | - Francesco Filice
- Radiology Division, "Istituto Nazionale Tumori - IRCCS - Fondazione G. Pascale", Via Mariano Semmola, Naples, Italy
| | - Maddalena Leongito
- Hepatobiliary Surgery Division, "Istituto Nazionale Tumori - IRCCS - Fondazione G. Pascale", Via Mariano Semmola, Naples, Italy
| | - Raffaele Palaia
- Hepatobiliary Surgery Division, "Istituto Nazionale Tumori - IRCCS - Fondazione G. Pascale", Via Mariano Semmola, Naples, Italy
| | - Francesco Izzo
- Hepatobiliary Surgery Division, "Istituto Nazionale Tumori - IRCCS - Fondazione G. Pascale", Via Mariano Semmola, Naples, Italy
| | - Antonella Petrillo
- Radiology Division, "Istituto Nazionale Tumori - IRCCS - Fondazione G. Pascale", Via Mariano Semmola, Naples, Italy
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Critical analysis of the major and ancillary imaging features of LI-RADS on 127 proven HCCs evaluated with functional and morphological MRI: Lights and shadows. Oncotarget 2017; 8:51224-51237. [PMID: 28881643 PMCID: PMC5584244 DOI: 10.18632/oncotarget.17227] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2017] [Accepted: 03/22/2017] [Indexed: 12/14/2022] Open
Abstract
PURPOSE To report a critical analysis of major and ancillary MR imaging features in assessment of HCC. METHODS Retrospectively we evaluated 70 cirrhotic patients with 173 nodules, which were subjected to MR study at 0 time (MR0), after 3 (MR3) and 6 months (MR6) using two different contrast media. EOB-GD-DTPA was injected at MR0 and MR6, while Gd-BT-DO3A at MR3. Three expert hepatic radiologists reviewed all images, recording, according to LI-RADS, the size, the presence and quality of arterial-phase hyperenhancement, washout and capsule appearance, threshold growth. Additionally, we recorded signal intensity (SI) on T2-W images, on DWI, on apparent diffusion coefficient (ADC) maps and SI on T1-W images of EOB-GD-BPTA hepatospecific phase. Median value of ADC and of Intravoxel incoherent motion related parameters were assessed. RESULTS 127 HCCs and 24 dysplastic nodules were assessed. Hypervascular on arterial phase was found in 84 HCCs, washout appearance in 124, capsule appearance in 111, hypointensity on hepatospecific phase in 127, hyperintensity on T2-W sequences and restricted diffusion in 107. Hyper vascular on arterial phase was found in 17 dysplastic nodules, wash-out appearance in 2, hypointensity on hepatospecific phase in 7 while no dysplastic nodules showed capsule appearance, hyperintensity on T2-W and restricted diffusion. Highest accuracy was obtained by washout appearance and hypointense signal on hepatospecific phase (97% and 95%). CONCLUSIONS Hypointensity on hepatospecific phase and washout appearance are the most relevant diagnostic sign for differentiating low-risk from high-risk HCC nodules. The capsule appearance, T2-W hyperintensity and restricted diffusion have high positive predictive value.
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Diagnosis of Hepatocellular Carcinoma with Gadoxetic Acid-Enhanced MRI: 2016 Consensus Recommendations of the Korean Society of Abdominal Radiology. Korean J Radiol 2017; 18:427-443. [PMID: 28458595 PMCID: PMC5390612 DOI: 10.3348/kjr.2017.18.3.427] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2016] [Accepted: 01/21/2017] [Indexed: 12/13/2022] Open
Abstract
Diagnosis of hepatocellular carcinoma (HCC) with gadoxetic acid-enhanced liver magnetic resonance imaging (MRI) poses certain unique challenges beyond the scope of current guidelines. The regional heterogeneity of HCC in demographic characteristics, prevalence, surveillance, and socioeconomic status necessitates different treatment approaches, leading to variations in survival outcomes. Considering the medical practices in Korea, the Korean Society of Abdominal Radiology (KSAR) study group for liver diseases has developed expert consensus recommendations for diagnosis of HCC by gadoxetic acid-enhanced MRI with updated perspectives, using a modified Delphi method. During the 39th Scientific Assembly and Annual Meeting of KSAR (2016), consensus was reached on 12 of 16 statements. These recommendations might serve to ensure a more standardized diagnosis of HCC by gadoxetic acid-enhanced MRI.
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Wang YC, Chou CT, Lin CP, Chen YL, Chen YF, Chen RC. The value of Gd-EOB-DTPA-enhanced MR imaging in characterizing cirrhotic nodules with atypical enhancement on Gd-DTPA-enhanced MR images. PLoS One 2017; 12:e0174594. [PMID: 28355258 PMCID: PMC5371364 DOI: 10.1371/journal.pone.0174594] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2016] [Accepted: 03/11/2017] [Indexed: 02/07/2023] Open
Abstract
Purpose To evaluate the utility of Gd-EOB-DTPA-enhanced magnetic resonance imaging (MRI) in characterizing atypically enhanced cirrhotic nodules detected on conventional Gd-DTPA-enhanced MR images. Materials and methods We enrolled 61 consecutive patients with 88 atypical nodules seen on conventional Gd-DTPA-enhanced MR images who underwent Gd-EOB-DTPA-enhanced MRI within a 3-month period. Using a reference standard, we determined that 58 of the nodules were hepatocellular carcinoma (HCC) and 30 were dysplastic nodules (DNs). Tumor size, signal intensity on precontrast T1-weighted images (T1WI), T2-weighted images (T2WI) and diffusion-weighted images (DWI), and the enhancement patterns seen on dynamic phase and hepatocyte phase images were determined. Results There were significant differences between DNs and HCC in hyperintensity on T2WI, hypointensity on T1WI, hypervascularity on arterial phase images, typical HCC enhancement patterns on dynamic MR images, hypointensity on hepatocyte phase images, and hyperintensity on DWI. The sensitivity and specificity were 79.3% and 83.3% for T2WI, 50.0% and 80.0% for T1WI, 82.8% and 76.7% for DWI, 17.2% and 100% for dynamic MR imaging, 93.1% and 83.3% for hepatocyte phase imaging, and 46.8% and 100% when arterial hypervascularity was combined with hypointensity on hepatocyte-phase imaging. Conclusion Gd-EOB-DTPA-enhanced hepatocyte phase imaging is recommended for patients at high risk for HCC who present with atypical lesions on conventional Gd-DTPA-enhanced MR images.
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Affiliation(s)
- Yi-Chun Wang
- Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei City, Taiwan
- Department of Radiology, China Medical University Hospital, Taichung City, Taiwan
| | - Chen-Te Chou
- Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei City, Taiwan
- Department of Radiology, Changhua Christian Hospital, Changhua City, Taiwan
- School of Medicine, Kaohsiung Medical University, Kaohsiung City, Taiwan
| | - Ching-Po Lin
- Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei City, Taiwan
| | - Yao-Li Chen
- School of Medicine, Kaohsiung Medical University, Kaohsiung City, Taiwan
- Department of Surgery, Changhua Christian Hospital, Changhua City, Taiwan
| | - Yung-Fang Chen
- Department of Radiology, Changhua Christian Hospital, Changhua City, Taiwan
| | - Ran-Chou Chen
- Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei City, Taiwan
- Health Promotion Administration, Ministry of Health and Welfare, Taipei City, Taiwan
- * E-mail:
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Rapp JB, Bellah RD, Maya C, Pawel BR, Anupindi SA. Giant hepatic regenerative nodules in Alagille syndrome. Pediatr Radiol 2017; 47:197-204. [PMID: 27796468 DOI: 10.1007/s00247-016-3728-2] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2016] [Revised: 09/10/2016] [Accepted: 10/07/2016] [Indexed: 12/11/2022]
Abstract
BACKGROUND Children with Alagille syndrome undergo surveillance radiologic examinations as they are at risk for developing cirrhosis and hepatocellular carcinoma. There is limited literature on the imaging of liver masses in Alagille syndrome. We report the ultrasound (US) and magnetic resonance imaging (MRI) appearances of incidental benign giant hepatic regenerative nodules in this population. OBJECTIVE To describe the imaging findings of giant regenerative nodules in patients with Alagille syndrome. MATERIALS AND METHODS A retrospective search of the hospital database was performed to find all cases of hepatic masses in patients with Alagille syndrome during a 10-year period. Imaging, clinical charts, laboratory data and available pathology were reviewed and analyzed and summarized for each patient. RESULTS Twenty of 45 patients with confirmed Alagille syndrome had imaging studies. Of those, we identified six with giant focal liver masses. All six patients had large central hepatic masses that were remarkably similar on US and MRI, in addition to having features of cirrhosis. In each case, the mass was located in hepatic segment VIII and imaging showed the mass splaying the main portal venous branches at the hepatic hilum, as well as smaller portal and hepatic venous branches coursing through them. On MRI, signal intensity of the mass was isointense to liver on T1-weighted sequences in four of six patients, but hyperintense on T1 in two of six patients. In all six cases, the mass was hypointense on T2- weighted sequences. The mass post-contrast was isointense to adjacent liver in all phases in five the cases. Five out of six patients had pathological correlation demonstrating preserved ductal architecture confirming the final diagnosis of a regenerative nodule. CONCLUSION Giant hepatic regenerative nodules with characteristic US and MR features can occur in patients with Alagille syndrome with underlying cirrhosis. Recognizing these lesions as benign giant hepatic regenerative nodules should, thereby, mitigate any need for intervention.
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Affiliation(s)
- Jordan B Rapp
- Department of Radiology, Temple University Hospital, Lewis Katz School of Medicine at Temple University, 3401 N. Broad St., Philadelphia, PA, 19140, USA.
| | - Richard D Bellah
- Department of Radiology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Carolina Maya
- Department of Radiology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Bruce R Pawel
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Sudha A Anupindi
- Department of Radiology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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Besa C, Lewis S, Pandharipande PV, Chhatwal J, Kamath A, Cooper N, Knight-Greenfield A, Babb JS, Boffetta P, Padron N, Sirlin CB, Taouli B. Hepatocellular carcinoma detection: diagnostic performance of a simulated abbreviated MRI protocol combining diffusion-weighted and T1-weighted imaging at the delayed phase post gadoxetic acid. Abdom Radiol (NY) 2017; 42:179-190. [PMID: 27448609 DOI: 10.1007/s00261-016-0841-5] [Citation(s) in RCA: 97] [Impact Index Per Article: 13.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
PURPOSE The purpose of this study was to evaluate the diagnostic performance of a "simulated" abbreviated MRI (AMRI) protocol using diffusion-weighted imaging (DWI) and T1-weighted (T1w) imaging obtained at the hepatobiliary phase (HBP) post gadoxetic acid injection alone and in combination, compared to dynamic contrast-enhanced (CE)-T1w imaging for the detection of hepatocellular carcinoma (HCC). METHODS This was an IRB approved HIPAA compliant retrospective single institution study including patients with liver disease who underwent gadoxetic acid-enhanced MRI for HCC diagnosis. Three independent observers assessed 2 sets of images (full CE-set and AMRI including DWI+T1w-HBP). Diagnostic performance of T1w-HBP and DWI alone and in combination was compared to that of CE-set. All imaging sets included unenhanced T1w and T2w sequences. A preliminary analysis was performed to assess cost savings of AMRI protocol compared to a full MRI study. RESULTS 174 patients including 62 with 80 HCCs were assessed. Equivalent per-patient sensitivity and negative predictive value (NPV) were observed for DWI (85.5% and 92.2%, pooled data) and T1w-HBP (89.8% and 94.2%) (P = 0.1-0.7), while these were significantly lower for the full AMRI protocol (DWI+T1w-HBP, 80.6% and 80%, P = 0.02) when compared to CE-set (90.3% and 94.9%). Higher specificity and positive predictive value were observed for CE-set vs. AMRI (P = 0.02). The estimated cost reduction of AMRI versus full MRI ranged between 30.7 and 49.0%. CONCLUSION AMRI using DWI and T1w-HBP has a clinically acceptable sensitivity and NPV for HCC detection. This could serve as the basis for a future study assessing AMRI for HCC screening and surveillance.
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Affiliation(s)
- Cecilia Besa
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY, 10029, USA
- Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Sara Lewis
- Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Pari V Pandharipande
- Institute for Technology Assessment, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Jagpreet Chhatwal
- Institute for Technology Assessment, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Amita Kamath
- Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Nancy Cooper
- Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Ashley Knight-Greenfield
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY, 10029, USA
| | - James S Babb
- Department of Radiology, New York University Langone Medical Center, New York, NY, USA
| | - Paolo Boffetta
- Division of Cancer Prevention and Control, Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Norma Padron
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Claude B Sirlin
- Liver Imaging Group, Department of Radiology, University of California, San Diego, CA, USA
| | - Bachir Taouli
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY, 10029, USA.
- Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
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Ronot M, Clift AK, Vilgrain V, Frilling A. Functional imaging in liver tumours. J Hepatol 2016; 65:1017-1030. [PMID: 27395013 DOI: 10.1016/j.jhep.2016.06.024] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2016] [Revised: 06/20/2016] [Accepted: 06/20/2016] [Indexed: 02/08/2023]
Abstract
Functional imaging encompasses techniques capable of assessing physiological parameters of tissues, and offers useful clinical information in addition to that obtained from morphological imaging. Such techniques may include magnetic resonance imaging with diffusion-weighted sequences or hepatobiliary contrast agents, perfusion imaging, or molecular imaging with radiolabelled tracers. The liver is of major importance in oncological practice; not only is hepatocellular carcinoma one of the malignancies with steadily rising incidence worldwide, but hepatic metastases are regularly observed with a range of solid neoplasms. Within the realm of hepatic oncology, different functional imaging modalities may occupy pivotal roles in lesion characterisation, treatment selection and follow-up, depending on tumour size and type. In this review, we characterise the major forms of functional imaging, discuss their current application to the management of patients with common primary and secondary liver tumours, and anticipate future developments within this field.
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Affiliation(s)
- Maxime Ronot
- Department of Radiology, APHP, University Hospitals Paris Nord Val de Seine, Beaujon, Clichy, Hauts-de-Seine, France; University Paris Diderot, Sorbonne Paris Cité, Paris, France; INSERM U1149, Centre de recherche biomédicale Bichat-Beaujon, CRB3, Paris, France
| | | | - Valérie Vilgrain
- Department of Radiology, APHP, University Hospitals Paris Nord Val de Seine, Beaujon, Clichy, Hauts-de-Seine, France; University Paris Diderot, Sorbonne Paris Cité, Paris, France; INSERM U1149, Centre de recherche biomédicale Bichat-Beaujon, CRB3, Paris, France.
| | - Andrea Frilling
- Department of Surgery and Cancer, Imperial College London, London, UK
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Performance of Gadoxetic Acid-Enhanced Liver Magnetic Resonance Imaging for Predicting Patient Eligibility for Liver Transplantation Based on the Milan Criteria. J Comput Assist Tomogr 2016; 41:25-31. [PMID: 27768617 DOI: 10.1097/rct.0000000000000476] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
PURPOSE This study aimed to evaluate the accuracy of gadoxetic acid-enhanced magnetic resonance imaging (Gd-EOB-MRI) in predicting eligibility for liver transplantation in patients with hepatocellular carcinoma (HCC) based on Milan criteria (MC). MATERIALS AND METHODS We reviewed Gd-EOB-MRI of 44 patients who underwent liver transplantation for HCC with cirrhosis for the presence/size of HCCs, vascular invasion, and transplant eligibility based on MC. Hepatocellular carcinoma was diagnosed based on conventional radiological hallmarks (arterial enhancement and washout) or the modified criteria. RESULTS Among 44 patients, 16 was beyond MC. Sensitivity, specificity, and accuracy of conventional radiological hallmark and the modified criteria for predicting eligibility by MC were 31.3%, 96.3%, and 72.7%, and 68.8%, 96.3%, and 86.4%, respectively. CONCLUSIONS Gd-EOB-MRI showed high specificity but poor sensitivity for assessing transplant eligibility based on MC when adopting the conventional radiological hallmarks of HCC. Our modified criteria showed significantly better sensitivity and accuracy than the conventional radiological hallmarks.
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49
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Choi SH, Byun JH. Reply to: "Conclusive HCC diagnosis with hepatocyte-specific contrast-enhanced magnetic resonance imaging? Not yet". J Hepatol 2016; 65:650-1. [PMID: 27349489 DOI: 10.1016/j.jhep.2016.06.017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2016] [Accepted: 06/09/2016] [Indexed: 01/06/2023]
Affiliation(s)
- Sang Hyun Choi
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-Ro 43-Gil, Songpa-Gu, Seoul 05505, Republic of Korea
| | - Jae Ho Byun
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-Ro 43-Gil, Songpa-Gu, Seoul 05505, Republic of Korea.
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Peng Z, Jiang M, Cai H, Chan T, Dong Z, Luo Y, Li ZP, Feng ST. Gd-EOB-DTPA-enhanced magnetic resonance imaging combined with T1 mapping predicts the degree of differentiation in hepatocellular carcinoma. BMC Cancer 2016; 16:625. [PMID: 27520833 PMCID: PMC4983030 DOI: 10.1186/s12885-016-2607-4] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2016] [Accepted: 07/25/2016] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Variable degrees of differentiation in hepatocellular carcinoma(HCC)under Edmondson-Steiner grading system has been proven to be an independent prognostic indicator for HCC. Up till now, there has been no effective radiological method that can reveal the degree of differentiation in HCC before surgery. This paper aims to evaluate the use of Gd-EOB-DTPA-Enhanced Magnetic Resonance Imaging combined with T1 mapping for the diagnosis of HCC and assessing its degree of differentiation. METHODS Forty-four patients with 53 pathologically proven HCC had undergone Gd-EOB-DTPA enhanced MRI with T1 mapping before surgery. Out of the 53 lesions,13 were grade I, 27 were gradeII, and 13 were grade III. The T1 values of each lesion were measured before and at 20 min after Gd-EOB-DTPA administration (T1p and T1e). The absolute reduction in T1 value (T1d) and the percentage reduction (T1d %) were calculated. The one-way ANOVA and Pearson correlation were used for comparisons between the T1 mapping values. RESULTS The T1d and T1d % of grade I, II and III of HCC was 660.5 ± 422.8ms、295.0 ± 99.6ms、276.2 ± 95.0ms and 54.0 ± 12.2 %、31.5 ± 6.9 %、27.7 ± 6.7 % respectively. The differences between grade Iand II, grade Iand III were statistically significant (p < 0.05), but there was no statically significant difference between grade II and III. The T1d % was the best marker for grading of HCC, with a Spearman correlation coefficient of -0.676. CONCLUSIONS T1 mapping before and after Gd-EOB-DTPA administration can predict degree of differentiation in HCC.
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Affiliation(s)
- Zhenpeng Peng
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58th, The Second Zhongshan Road, Guangzhou, Guangdong, 510080, China
| | - Mengjie Jiang
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58th, The Second Zhongshan Road, Guangzhou, Guangdong, 510080, China.,Department of Radiology, Hospital of Stomatology, Guanghua School of Stomatology, Guangdong Provincial Key Laboratory of Stomatology, Sun Yat-Sen University, Guangzhou, 510055, China
| | - Huasong Cai
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58th, The Second Zhongshan Road, Guangzhou, Guangdong, 510080, China
| | - Tao Chan
- Medical Imaging Department, Union Hospital, Hong Kong, 18 Fu Kin Street, Tai Wai, Shatin, N.T, Hong Kong
| | - Zhi Dong
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58th, The Second Zhongshan Road, Guangzhou, Guangdong, 510080, China
| | - Yanji Luo
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58th, The Second Zhongshan Road, Guangzhou, Guangdong, 510080, China
| | - Zi-Ping Li
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58th, The Second Zhongshan Road, Guangzhou, Guangdong, 510080, China.
| | - Shi-Ting Feng
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58th, The Second Zhongshan Road, Guangzhou, Guangdong, 510080, China.
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