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Kim TH, Woo S, Joo I, Bashir MR, Park MS, Burke LMB, Mendiratta-Lala M, Do RKG. LI-RADS treatment response algorithm for detecting incomplete necrosis in hepatocellular carcinoma after locoregional treatment: a systematic review and meta-analysis using individual patient data. Abdom Radiol (NY) 2021; 46:3717-28. [PMID: 34027566 DOI: 10.1007/s00261-021-03122-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Revised: 05/03/2021] [Accepted: 05/11/2021] [Indexed: 02/07/2023]
Abstract
PURPOSE To perform a systematic review and meta-analysis using individual patient data to investigate the diagnostic performance of Liver Imaging Reporting and Data System (LI-RADS) Treatment Response (TR) algorithm for detecting incomplete necrosis on pathology. METHODS PubMed and EMBASE were searched from Jan 1, 2017 until October 14, 2020. Studies reporting diagnostic accuracy of LI-RADS TR algorithm on CT or MRI for detecting incomplete necrosis on pathology as a reference standard were included. Sensitivity and specificity were pooled using random-effects model. Subgroup analyses were performed for locoregional treatment (LRT) type and imaging modality. RESULTS Six studies (393 patients, 534 lesions) were included. Pooled sensitivity was 0.56 (95% confidence interval [CI] 0.43-0.69) and specificity was 0.91 (95%CI 0.84-0.96). Pooled sensitivity was highest using arterial phase hyperenhancement (APHE) (0.67 [95%CI 0.51-0.81]), followed by washout (0.43 [95%CI 0.26-0.62]) and enhancement similar to pretreatment (0.24 [95%CI 0.15-0.36]). Among lesions with incomplete necrosis, 2% (95%CI 0.00-0.05) manifested as washout but no APHE; 0% (95% CI 0.00-0.02) as enhancement similar to pretreatment without both APHE and washout. Pooled sensitivity was lower after ablation than embolization (0.42 [95%CI, 0.28-0.57] vs. 0.65 [95%CI, 0.53-0.77], p = 0.033). MRI and CT were comparable (p = 0.783 and 0.290 for sensitivity and specificity). CONCLUSIONS LI-RADS TR algorithm shows moderate sensitivity and high specificity for detecting incomplete necrosis after LRT. APHE is the dominant criterion, a washout contributes to small but meaningful extent, while the contribution of enhancement similar to pretreatment may be negligible. LRT type may affect performance of the algorithm.
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Kampalath R, Tran-Harding K, Do RKG, Mendiratta-Lala M, Yaghmai V. Evaluation of Hepatocellular Carcinoma Treatment Response After Locoregional Therapy. Magn Reson Imaging Clin N Am 2021; 29:389-403. [PMID: 34243925 DOI: 10.1016/j.mric.2021.05.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Locoregional therapy (LRT) for hepatocellular carcinoma can be used alone or with other treatment modalities to reduce rates of progression, improve survival, or act as a bridge to cure. As the use of LRT expands, so too has the need for systems to evaluate treatment response, such as the World Health Organization and modified Response Evaluation Criteria In Solid Tumors systems and more recently, the Liver Imaging Reporting and Data System (LI-RADS) treatment response algorithm (TRA). Early validation results for LI-RADS TRA have been promising, and as research accrues, the TRA is expected to evolve in the near future.
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Affiliation(s)
- Rony Kampalath
- Department of Radiological Sciences, University of California Irvine, 101 The City Drive South, Orange, CA 92868, USA
| | - Karen Tran-Harding
- Department of Radiological Sciences, University of California Irvine, 101 The City Drive South, Orange, CA 92868, USA
| | - Richard K G Do
- Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Radiology, Weill Medical College of Cornell University, New York, NY, USA.
| | - Mishal Mendiratta-Lala
- Radiology, University of Michigan School of Medicine, 1500 East Medical Center Drive, UH B2A209R, Ann Arbor, MI 48109-5030, USA
| | - Vahid Yaghmai
- University of California, Irvine, 101 The City Drive South, Orange, CA 92868, USA
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Shenoy-Bhangle AS, Tsai LL, Masciocchi M, Arora SS, Kielar AZ. Role of the radiologist at HCC multidisciplinary conference and use of the LR-TR algorithm for improving workflow. Abdom Radiol (NY) 2021; 46:3558-3564. [PMID: 33904990 DOI: 10.1007/s00261-021-03094-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2021] [Revised: 04/08/2021] [Accepted: 04/10/2021] [Indexed: 12/17/2022]
Abstract
Multidisciplinary conferences (MDCs) play a major role in management and care of oncology patients. Hepatocellular carcinoma (HCC) is a complex disease benefiting from multidisciplinary discussions to determine optimal patient management. A multitude of liver-directed locoregional therapies have emerged allowing for more options for treatment of HCC. A radiologist dedicated to HCC-MDC is an important member of the team contributing to patient care in multiple ways. The radiologist plays a key role in image interpretation guiding initial therapy discussions as well as interpreting post-treatment imaging following liver-directed therapy. Standardization of image interpretation can lead to more consistent treatment received by the patient as well as accurate assessment of transplant eligibility. The radiologist can facilitate this process using structured reporting that is also supported by stakeholders involved in interdisciplinary management of liver diseases. The Liver Imaging Reporting and Data System (LI-RADS), is a living document which offers a standardized reporting algorithm for consistent communication of radiologic findings for HCC screening and characterization of liver observations in patients at risk for HCC. The LI-RADS post-treatment algorithm (LR-TR algorithm) has been developed to standardize liver observations following liver-directed locoregional therapy. This review article focuses on the role of the radiologist at HCC-MDC and implementation of the LR-TR algorithm for improving workflow.
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Affiliation(s)
- Anuradha S Shenoy-Bhangle
- Department of Radiology, Beth Israel Deaconess Medical Centre, Boston, USA.
- Harvard Medical School, Boston, USA.
| | - Leo L Tsai
- Department of Radiology, Beth Israel Deaconess Medical Centre, Boston, USA
- Harvard Medical School, Boston, USA
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Gupta P, Bansal A, Das GC, Kumar-M P, Chaluvashetty SB, Bhujade H, Gulati A, Kalra N. Diagnostic accuracy of Liver Imaging Reporting and Data System locoregional treatment response criteria: a systematic review and meta-analysis. Eur Radiol 2021. [PMID: 33786656 DOI: 10.1007/s00330-021-07837-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 02/05/2021] [Accepted: 02/25/2021] [Indexed: 12/19/2022]
Abstract
OBJECTIVE There is increasing adoption of Liver Imaging Reporting and Data System (LI-RADS) treatment response (LR-TR) criteria. However, there is still a relative lack of evidence evaluating the performance of these criteria. We performed this study to assess the diagnostic accuracy of LI-RADS LR-TR criteria. METHODS A thorough search of PubMed, Embase, Scopus, and Cochrane Central Register of Controlled Trials for studies reporting diagnostic accuracy of LI-RADS LR-TR criteria was conducted through 30 June 2020. The meta-analytic summary of sensitivity, specificity, and diagnostic odds ratio of LI-RADS LR-TR criteria was computed using explant histopathology as the reference standard. The quality of the studies was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 tool. RESULTS Four studies were found eligible for meta-analysis. The total number of LR-TR observations was 462 (240 patients, 82.5% males). Different locoregional therapies (LRTs), including bland embolization, chemoembolization, radiofrequency ablation, and microwave ablation, had been used. The mean time interval between LRT and liver transplantation ranged from 181 to 219 days. There was a moderate to good inter-reader agreement for LR-TR criteria. The pooled sensitivity and specificity of LR-TR criteria for viable disease were 62% (95% CI, 49-74%; I2 = 69%) and 87% (95% CI, 76-93%; I2 = 57%), respectively. The pooled diagnostic odds ratio and area under the curve were 9.83 (95% CI, 5.34-18.08; I2 = 19%) and 0.80. CONCLUSIONS LI-RADS LR-TR criteria have acceptable diagnostic performance for the diagnosis of viable tumor after LRT. Well-designed prospective studies evaluating criteria of equivocal lesions and effect of different LRTs should be performed. KEY POINTS • The pooled sensitivity and specificity of LI-RADS LR-TR criteria for the diagnosis of viable tumor were 62% and 87%, respectively. • The pooled diagnostic odds ratio and area under the curve were 9.83 and 0.80. • LR-TR criteria had a moderate to good inter-reader agreement.
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Delli Pizzi A, Mastrodicasa D, Cianci R, Serafini FL, Mincuzzi E, Di Fabio F, Giammarino A, Mannetta G, Basilico R, Caulo M. Multimodality Imaging of Hepatocellular Carcinoma: From Diagnosis to Treatment Response Assessment in Everyday Clinical Practice. Can Assoc Radiol J 2020; 72:714-727. [PMID: 32436394 DOI: 10.1177/0846537120923982] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
The Liver Imaging Reporting and Data System (LI-RADS) is a recently developed classification aiming to improve the standardization of liver imaging assessment in patients at risk of developing hepatocellular carcinoma (HCC). The LI-RADS v2017 implemented new algorithms for ultrasound (US) screening and surveillance, contrast-enhanced US diagnosis and computed tomography/magnetic resonance imaging treatment response assessment. A minor update of LI-RADS was released in 2018 to comply with the American Association for the Study of the Liver Diseases guidance recommendations. The scope of this review is to provide a practical overview of LI-RADS v2018 focused both on the multimodality HCC diagnosis and treatment response assessment.
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Affiliation(s)
- Andrea Delli Pizzi
- ITAB-Institute of Advanced Biomedical Technologies, "G. d'Annunzio" University, Chieti, Italy.,Department of Neuroscience, Imaging and Clinical Sciences, "G. d'Annunzio" University, Chieti, Italy
| | | | - Roberta Cianci
- Department of Neuroscience, Imaging and Clinical Sciences, "G. d'Annunzio" University, Chieti, Italy
| | | | - Erica Mincuzzi
- Department of Neuroscience, Imaging and Clinical Sciences, "G. d'Annunzio" University, Chieti, Italy
| | - Francesca Di Fabio
- Department of Neuroscience, Imaging and Clinical Sciences, "G. d'Annunzio" University, Chieti, Italy
| | - Alberto Giammarino
- Department of Neuroscience, Imaging and Clinical Sciences, "G. d'Annunzio" University, Chieti, Italy
| | - Gianluca Mannetta
- Department of Neuroscience, Imaging and Clinical Sciences, "G. d'Annunzio" University, Chieti, Italy
| | - Raffaella Basilico
- Department of Neuroscience, Imaging and Clinical Sciences, "G. d'Annunzio" University, Chieti, Italy
| | - Massimo Caulo
- ITAB-Institute of Advanced Biomedical Technologies, "G. d'Annunzio" University, Chieti, Italy.,Department of Neuroscience, Imaging and Clinical Sciences, "G. d'Annunzio" University, Chieti, Italy
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Cools KS, Moon AM, Burke LM, McGinty KA, Strassle PD, Gerber DA. Validation of the Liver Imaging Reporting and Data System Treatment Response Criteria After Thermal Ablation for Hepatocellular Carcinoma. Liver Transpl 2020; 26:203-214. [PMID: 31677319 PMCID: PMC6980979 DOI: 10.1002/lt.25673] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2018] [Accepted: 10/26/2019] [Indexed: 12/17/2022]
Abstract
Single hepatocellular carcinoma (HCC) tumors can be successfully eradicated with thermal ablation (TA). We assessed the validity of the Liver Imaging Reporting and Data System Treatment Response (LR-TR) criteria with a retrospective analysis of a single-center database of patients with small HCC tumors (<3 cm in diameter) who underwent both laparoscopic TA and liver transplantation (LT) from 2004 to 2018. Postablation MRIs were assigned LR-TR categories (nonviable, equivocal, and viable) for ablated lesions and Liver Imaging Reporting and Data System (LI-RADS) categories (probable or definite HCC) for untreated lesions. Interpretations were compared with the histopathology of the post-LT explanted liver. There were 45 patients with 81 tumors (59 ablated and 22 untreated; mean size, 2.2 cm), and 23 (39%) of the ablated tumors had viable HCC on histopathology. The sensitivity/specificity of LR-TR categories (nonviable/equivocal versus viable) of ablated tumors was 30%/99%, with a positive predictive value (PPV)/negative predictive value (NPV) of 93%/69%. The sensitivity varied with residual tumor size. The sensitivity/specificity of LI-RADS 4 and 5 diagnostic criteria at detecting new HCC was 65%/94%, respectively, with a PPV/NPV of 85%/84%. The interrater reliability (IRR) was high for LR-TR categories (90% agreement, Cohen's ĸ = 0.75) and for LI-RADS LR-4 and LR-5 diagnostic categories (91% agreement, Cohen's ĸ = 0.80). In patients with HCC <3 cm in diameter, LR-TR criteria after TA had high IRR but low sensitivity, suggesting that the LR-TR categories are precise but inaccurate. The low sensitivity may be secondary to TA's disruption in the local blood flow of the tissue, which could affect the arterial enhancement phase on MRI. Additional investigation and new technologies may be necessary to improve imaging after ablation.
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Affiliation(s)
- Katherine S. Cools
- Department of Surgery, University of North Carolina School of Medicine, Chapel Hill, NC
| | - Andrew M. Moon
- Division of Gastroenterology, University of North Carolina School of Medicine, Chapel Hill, NC
| | - Lauren M.B. Burke
- Department of Radiology, University of North Carolina School of Medicine, Chapel Hill, NC
| | - Katrina A. McGinty
- Department of Radiology, University of North Carolina School of Medicine, Chapel Hill, NC
| | - Paula D. Strassle
- Department of Surgery, University of North Carolina School of Medicine, Chapel Hill, NC,Department of Epidemiology, University of North Carolina School of Public Health
| | - David A. Gerber
- Department of Surgery, University of North Carolina School of Medicine, Chapel Hill, NC,Lineberger Cancer Center, University of North Carolina, Chapel Hill, NC
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Refaat R, Basha MAA, Hassan MS, Hussein RS, El Sammak AA, El Sammak DAEA, Radwan MHS, Awad NM, Saad El-Din SA, Elkholy E, Ibrahim DRD, Saleh SA, Montasser IF, Said H. Efficacy of contrast-enhanced FDG PET/CT in patients awaiting liver transplantation with rising alpha-fetoprotein after bridge therapy of hepatocellular carcinoma. Eur Radiol 2018; 28:5356-5367. [DOI: https:/doi.org/10.1007/s00330-018-5425-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Revised: 03/01/2018] [Accepted: 03/14/2018] [Indexed: 08/30/2023]
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8
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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Shyn PB, Casadaban LC, Sainani NI, Sadow CA, Bunch PM, Levesque VM, Kim CK, Gerbaudo VH, Silverman SG. Intraprocedural Ablation Margin Assessment by Using Ammonia Perfusion PET during FDG PET/CT–guided Liver Tumor Ablation: A Pilot Study. Radiology 2018; 288:138-145. [DOI: 10.1148/radiol.2018172108] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Affiliation(s)
- Paul B. Shyn
- From the Department of Radiology, Division of Abdominal Imaging and Intervention (P.B.S., L.C.C., N.I.S., C.A.S., P.M.B., V.M.L., S.G.S.) and Division of Nuclear Medicine (C.K.K., V.H.G.), Brigham and Women’s Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115
| | - Leigh C. Casadaban
- From the Department of Radiology, Division of Abdominal Imaging and Intervention (P.B.S., L.C.C., N.I.S., C.A.S., P.M.B., V.M.L., S.G.S.) and Division of Nuclear Medicine (C.K.K., V.H.G.), Brigham and Women’s Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115
| | - Nisha I. Sainani
- From the Department of Radiology, Division of Abdominal Imaging and Intervention (P.B.S., L.C.C., N.I.S., C.A.S., P.M.B., V.M.L., S.G.S.) and Division of Nuclear Medicine (C.K.K., V.H.G.), Brigham and Women’s Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115
| | - Cheryl A. Sadow
- From the Department of Radiology, Division of Abdominal Imaging and Intervention (P.B.S., L.C.C., N.I.S., C.A.S., P.M.B., V.M.L., S.G.S.) and Division of Nuclear Medicine (C.K.K., V.H.G.), Brigham and Women’s Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115
| | - Paul M. Bunch
- From the Department of Radiology, Division of Abdominal Imaging and Intervention (P.B.S., L.C.C., N.I.S., C.A.S., P.M.B., V.M.L., S.G.S.) and Division of Nuclear Medicine (C.K.K., V.H.G.), Brigham and Women’s Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115
| | - Vincent M. Levesque
- From the Department of Radiology, Division of Abdominal Imaging and Intervention (P.B.S., L.C.C., N.I.S., C.A.S., P.M.B., V.M.L., S.G.S.) and Division of Nuclear Medicine (C.K.K., V.H.G.), Brigham and Women’s Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115
| | - Chun K. Kim
- From the Department of Radiology, Division of Abdominal Imaging and Intervention (P.B.S., L.C.C., N.I.S., C.A.S., P.M.B., V.M.L., S.G.S.) and Division of Nuclear Medicine (C.K.K., V.H.G.), Brigham and Women’s Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115
| | - Victor H. Gerbaudo
- From the Department of Radiology, Division of Abdominal Imaging and Intervention (P.B.S., L.C.C., N.I.S., C.A.S., P.M.B., V.M.L., S.G.S.) and Division of Nuclear Medicine (C.K.K., V.H.G.), Brigham and Women’s Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115
| | - Stuart G. Silverman
- From the Department of Radiology, Division of Abdominal Imaging and Intervention (P.B.S., L.C.C., N.I.S., C.A.S., P.M.B., V.M.L., S.G.S.) and Division of Nuclear Medicine (C.K.K., V.H.G.), Brigham and Women’s Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115
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Refaat R, Basha MAA, Hassan MS, Hussein RS, El Sammak AA, El Sammak DAEA, Radwan MHS, Awad NM, Saad El-Din SA, Elkholy E, Ibrahim DRD, Saleh SA, Montasser IF, Said H. Efficacy of contrast-enhanced FDG PET/CT in patients awaiting liver transplantation with rising alpha-fetoprotein after bridge therapy of hepatocellular carcinoma. Eur Radiol 2018; 28:5356-5367. [PMID: 29948070 DOI: 10.1007/s00330-018-5425-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Revised: 03/01/2018] [Accepted: 03/14/2018] [Indexed: 02/06/2023]
Abstract
OBJECTIVE To assess the diagnostic accuracy and illustrate positive findings of contrast-enhanced fluorine-18 fluoro-D-glucose positron emission tomography/computed tomography (18F-FDG PET/CT) image in patients awaiting liver transplantation (LT) with rising alpha-fetoprotein (AFP) after bridge therapy of hepatocellular carcinoma (HCC). MATERIALS AND METHODS This prospective study included 100 patients who were waiting for LT and who previously underwent locoregional therapy (LRT) of HCC. These patients had rising AFP levels on a routine follow-up examination awaiting LT. All patients underwent a contrast-enhanced 18F-FDG PET/CT examination. We calculated for each patient the maximum standardised uptake value (SUVmax) of the tumour and the ratio of the tumoral SUVmax to the normal-liver SUVmax. The diagnostic accuracy and positive contrast-enhanced findings of 18F-FDG PET/CT were established by histopathology and clinical and imaging follow-up as the reference standards. RESULTS Contrast-enhanced 18F-FDG PET/CT detected tumour relapse in 78 patients (13 patients had intrahepatic lesions, 10 patients had extrahepatic metastases and 55 patients with combined lesions). The sensitivity, specificity and accuracy values of contrast-enhanced 18F-FDG PET/CT examination in the detection of HCC recurrence were 92.8%, 94.1% and 93%, respectively. A significant correlation was found between the AFP level and SUVmax ratio (r = 0.2283; p = 0.0224). The best threshold for 18F-FDG PET positivity was >1.21. CONCLUSION Contrast-enhanced 18F-FDG PET/CT is a valuable tool for the detection of intrahepatic HCC recurrence or extrahepatic metastasis following rising AFP levels after LRT of HCC, and should be incorporated during routine workup awaiting LT. KEY POINTS • 18F-FDG PET/CT is a valuable tool for the detection of HCC recurrence • 18 F-FDG PET/CT should be incorporated during routine workup awaiting liver transplantation • Significant correlation was found between AFP level and SUVmax ratio • The best threshold for 18 F-FDG PET positivity was >1.21 • The ideal cut-off value for AFP was >202.
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Affiliation(s)
- Rania Refaat
- Department of Radiodiagnosis, Ain Shams University, Cairo, Egypt
| | | | | | - Rasha S Hussein
- Department of Radiodiagnosis, Ain Shams University, Cairo, Egypt
| | | | | | | | - Nahla M Awad
- Early Cancer Detection Unit, Ain Shams University Hospitals, Cairo, Egypt
| | | | - Engi Elkholy
- Department of Clinical Oncology, Ain Shams University, Cairo, Egypt
| | - Dina R D Ibrahim
- Department of Clinical Oncology, Ain Shams University, Cairo, Egypt
| | - Shereen A Saleh
- Department of Internal Medicine, Gastroenterology and Hepatology Unit, Ain Shams University, Cairo, Egypt
| | - Iman F Montasser
- Department of Tropical Medicine, HCC Unit, Ain Shams University, Cairo, Egypt
| | - Hany Said
- Department of General Surgery HPB, and Liver Transplantation, Ain Shams Center for Organ Transplantation, Ain Shams University, Cairo, Egypt
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11
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Kielar A, Fowler KJ, Lewis S, Yaghmai V, Miller FH, Yarmohammadi H, Kim C, Chernyak V, Yokoo T, Meyer J, Newton I, Do RK. Locoregional therapies for hepatocellular carcinoma and the new LI-RADS treatment response algorithm. Abdom Radiol (NY) 2018; 43:218-230. [PMID: 28780679 DOI: 10.1007/s00261-017-1281-6] [Citation(s) in RCA: 77] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Radiologists play a central role in the assessment of patient response to locoregional therapies for hepatocellular carcinoma (HCC). The identification of viable tumor following treatment guides further management and potentially affects transplantation eligibility. Liver Imaging Reporting and Data Systems (LI-RADS) first introduced the concept of LR-treated in 2014, and a new treatment response algorithm is included in the 2017 update to assist radiologists in image interpretation of HCC after locoregional therapy. In addition to offering imaging criteria for viable and nonviable HCC, new concepts of nonevaluable tumors as well as tumors with equivocal viability are introduced. Existing guidelines provided by response evaluation criteria in solid tumors (RECIST) and modified RECIST address patient-level assessments and are routinely used in clinical trials but do not address the variable appearances following different locoregional therapies. The new LI-RADS treatment response algorithm addresses this gap and offers a comprehensive approach to assess treatment response for individual lesions after a variety of locoregional therapies, using either contrast-enhanced CT or MRI.
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Affiliation(s)
- Ania Kielar
- Department of Radiology, University of Ottawa, Ottawa, Canada
| | - Kathryn J Fowler
- Department of Radiology, Washington University, St. Louis, MO, USA
| | - Sara Lewis
- Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Vahid Yaghmai
- Department of Radiology, Northwestern Memorial Hospital, Northwestern University-Feinberg School of Medicine, Chicago, IL, USA
| | - Frank H Miller
- Department of Radiology, Northwestern Memorial Hospital, Northwestern University-Feinberg School of Medicine, Chicago, IL, USA
| | - Hooman Yarmohammadi
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Charles Kim
- Department of Radiology, Duke University, Durham, NC, USA
| | - Victoria Chernyak
- Department of Radiology, Montefiore Medical Center, New York, NY, USA
| | - Takeshi Yokoo
- Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Jeffrey Meyer
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Isabel Newton
- Department of Radiology, UC San Diego, San Diego, CA, USA
| | - Richard K Do
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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Bittermann T, Goldberg DS, Bauer CM, Khungar V. Characterizing the Risk of False-Positive Hepatocellular Carcinoma in Recipients Transplanted With T2 MELD Exceptions. Transplantation 2017; 101:1099-105. [DOI: 10.1097/tp.0000000000001660] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
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