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Akabane M, Kawashima J, Woldesenbet S, Altaf A, Cauchy F, Aucejo F, Popescu I, Kitago M, Martel G, Ratti F, Aldrighetti L, Poultsides GA, Imaoka Y, Ruzzenente A, Endo I, Gleisner A, Marques HP, Lam V, Hugh T, Bhimani N, Shen F, Pawlik TM. Analyzing the interaction between time to surgery and tumor burden score in hepatocellular carcinoma. J Gastrointest Surg 2025; 29:101903. [PMID: 39613250 DOI: 10.1016/j.gassur.2024.101903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2024] [Revised: 11/21/2024] [Accepted: 11/24/2024] [Indexed: 12/01/2024]
Abstract
BACKGROUND The effect of "time to surgery (TTS)" on outcomes for curative-intent hepatectomy of hepatocellular carcinoma (HCC) remains debated. The interaction between tumor burden score (TBS) and TTS remains unclear. We sought to evaluate the effects of TBS and TTS on long-term HCC outcomes. METHODS Patients with HCC who underwent curative-intent hepatectomy (2000-2022) were analyzed from a multi-institutional database and categorized by TTS (≤60 or >60 days). Overall survival (OS) and cancer-specific survival were assessed. RESULTS Among 910 patients, median TTS estimates were 22 days in the short TTS group (n = 485) and 120 days in the long TTS group (n = 425). Patients with long TTS were older and were more likely to have American Society of Anesthesiologists class >2, diabetes mellitus, and cirrhosis. There was no difference in median TBS among patients who had short versus long TTS (4.61 vs 5.00, respectively). In addition, there was no difference in 5-year OS (70.0% vs 63.1%, respectively; P =.05). On multivariate analysis TBS (hazard ratio [HR], 1.07; 95% CI, 1.03-1.11; P <.001), log alpha-fetoprotein (HR, 1.08; 95% CI, 1.01-1.14; P =.02), and albumin-bilirubin score (HR, 2.52; 95% CI, 1.66-3.82; P <.001) were associated with OS. In contrast, TTS was not associated with OS (HR, 1.18; 95% CI, 0.78-1.77; P =.43). Interaction analysis demonstrated that TBS was asssociated with OS among patients with short TTS (HR, 1.12; 95% CI, 1.07-1.17; P <.001), but not among patients with long TTS (HR, 0.98; 95% CI, 0.91-1.05; P =.56). Among patients with low TBS (≤5), higher mortality was observed with long TTS versus short TTS (5-year OS: 82.4% vs 63.0%, respectively; P =.001); however, TTS was not associated with OS among patients with high TBS (5-year OS: 57.9% vs 63.3%, respectively; P =.92). Multivariate analysis demonstrated that long TTS was a risk factor for OS among patients with low TBS (HR, 3.12; 95% CI, 1.60-6.01; P <.001), but not among individuals with high TBS (HR, 0.57; 95% CI, 0.30-1.07; P =.08). Similar trends were observed relative to cancer-specific survival. CONCLUSION TTS needs to be considered in light of patient and tumor-specific factors. Expediting TTS may be particularly important among patients with HCC and a low TBS.
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Affiliation(s)
- Miho Akabane
- Department of Surgery, The Ohio State University Wexner Medical Center and The James Comprehensive Cancer Center, Columbus, OH, United States
| | - Jun Kawashima
- Department of Surgery, The Ohio State University Wexner Medical Center and The James Comprehensive Cancer Center, Columbus, OH, United States
| | - Selamawit Woldesenbet
- Department of Surgery, The Ohio State University Wexner Medical Center and The James Comprehensive Cancer Center, Columbus, OH, United States
| | - Abdullah Altaf
- Department of Surgery, The Ohio State University Wexner Medical Center and The James Comprehensive Cancer Center, Columbus, OH, United States
| | - François Cauchy
- Department of Hepatobiliopancreatic Surgery, Assistance Publique-Hôpitaux de Paris, Beaujon Hospital, Clichy, France
| | - Federico Aucejo
- Department of General Surgery, Cleveland Clinic Foundation, Cleveland, OH, United States
| | - Irinel Popescu
- Department of Surgery, Fundeni Clinical Institute, Bucharest, Romania
| | - Minoru Kitago
- Department of Surgery, Keio University, Tokyo, Japan
| | - Guillaume Martel
- Department of Surgery, University of Ottawa, Ottawa, Ontario, Canada
| | | | | | | | - Yuki Imaoka
- Department of Surgery, Stanford University, Stanford, CA, United States
| | | | - Itaru Endo
- Department of Gastroenterological Surgery, Yokohama City University School of Medicine, Yokohama, Japan
| | - Ana Gleisner
- Department of Surgery, The University of Colorado, Denver, CO, United States
| | - Hugo P Marques
- Department of Surgery, Curry Cabral Hospital, Lisbon, Portugal
| | - Vincent Lam
- Department of Surgery, Westmead Hospital, Sydney, New South Wales, Australia
| | - Tom Hugh
- Department of Surgery, School of Medicine, The University of Sydney, Sydney, New South Wales, Australia
| | - Nazim Bhimani
- Department of Surgery, School of Medicine, The University of Sydney, Sydney, New South Wales, Australia
| | - Feng Shen
- The Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai, China
| | - Timothy M Pawlik
- Department of Surgery, The Ohio State University Wexner Medical Center and The James Comprehensive Cancer Center, Columbus, OH, United States.
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Jang HJ, Choi SH, Wee S, Choi SJ, Byun JH, Won HJ, Shin YM, Sirlin CB. CT- and MRI-based Factors Associated with Rapid Growth in Early-Stage Hepatocellular Carcinoma. Radiology 2024; 313:e240961. [PMID: 39718496 DOI: 10.1148/radiol.240961] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2024]
Abstract
Background Prediction of the tumor growth rates is clinically important in patients with hepatocellular carcinoma (HCC), but previous studies have presented conflicting results and generally lacked radiologic evaluations. Purpose To evaluate the percentage of rapidly growing early-stage HCCs in each Liver Imaging Reporting and Data System (LI-RADS) category and to identify prognostic factors associated with rapid growth. Materials and Methods Retrospective study of patients with risk factors for HCC and those with surgically proven early-stage HCC who underwent two or more preoperative multiphasic CT or MRI examinations between January 2016 and December 2020. LI-RADS categories were assigned according to the baseline CT or MRI results. The tumor volume doubling time (TVDT) was calculated from the tumor volumes measured at the two examinations. The growth rate was classified as rapid (TVDT < 3 months), intermediate (TVDT = 3-9 months), or indolent (TVDT > 9 months). The percentage of rapidly growing HCCs was compared among the LI-RADS categories, and multivariable logistic regression was used to identify factors associated with rapidly growing HCC. Results In 322 patients (mean age, 61 years ± 9 [SD]; 249 men) with 345 HCCs (30 LR-3, 64 LR-4, 221 LR-5, and 30 LR-M category), the median TVDT of HCC was 131 days (IQR, 87-233) and 27.0% of HCCs showed rapid growth. The growth rates differed among the LI-RADS categories, with a higher percentage of rapidly growing HCCs observed for LR-M HCCs than for LR-3 (70.0% vs 3.3%, P < .001), LR-4 (70.0% vs 12.5%, P < .001), or LR-5 (70.0% vs 28.5%, P < .001) HCCs. An α-fetoprotein level greater than 400 ng/mL (adjusted odds ratio [OR], 2.54; 95% CI: 1.16, 5.54; P = .02), baseline tumor diameter (adjusted OR, 0.65; 95% CI: 0.48, 0.87; P = .004), and LR-M category (adjusted OR, 9.26; 95% CI: 3.70, 23.16; P < .001) were independently associated with higher odds of rapid growth. Conclusion Among early-stage HCCs, LR-M category was an independent factor for rapid growth, observed in 70% of HCCs. © RSNA, 2024 Supplemental material is available for this article.
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Affiliation(s)
- Hyeon Ji Jang
- From the 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, Korea (H.J.J., S.H.C., S.J.C., J.H.B., H.J.W., Y.M.S.); University of Ulsan College of Medicine, Seoul, Korea (S.W.); and Liver Imaging Group, Department of Radiology, University of California- San Diego, San Diego, Calif (C.B.S.)
| | - Sang Hyun Choi
- From the 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, Korea (H.J.J., S.H.C., S.J.C., J.H.B., H.J.W., Y.M.S.); University of Ulsan College of Medicine, Seoul, Korea (S.W.); and Liver Imaging Group, Department of Radiology, University of California- San Diego, San Diego, Calif (C.B.S.)
| | - Sungwoo Wee
- From the 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, Korea (H.J.J., S.H.C., S.J.C., J.H.B., H.J.W., Y.M.S.); University of Ulsan College of Medicine, Seoul, Korea (S.W.); and Liver Imaging Group, Department of Radiology, University of California- San Diego, San Diego, Calif (C.B.S.)
| | - Se Jin Choi
- From the 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, Korea (H.J.J., S.H.C., S.J.C., J.H.B., H.J.W., Y.M.S.); University of Ulsan College of Medicine, Seoul, Korea (S.W.); and Liver Imaging Group, Department of Radiology, University of California- San Diego, San Diego, Calif (C.B.S.)
| | - Jae Ho Byun
- From the 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, Korea (H.J.J., S.H.C., S.J.C., J.H.B., H.J.W., Y.M.S.); University of Ulsan College of Medicine, Seoul, Korea (S.W.); and Liver Imaging Group, Department of Radiology, University of California- San Diego, San Diego, Calif (C.B.S.)
| | - Hyung Jin Won
- From the 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, Korea (H.J.J., S.H.C., S.J.C., J.H.B., H.J.W., Y.M.S.); University of Ulsan College of Medicine, Seoul, Korea (S.W.); and Liver Imaging Group, Department of Radiology, University of California- San Diego, San Diego, Calif (C.B.S.)
| | - Yong Moon Shin
- From the 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, Korea (H.J.J., S.H.C., S.J.C., J.H.B., H.J.W., Y.M.S.); University of Ulsan College of Medicine, Seoul, Korea (S.W.); and Liver Imaging Group, Department of Radiology, University of California- San Diego, San Diego, Calif (C.B.S.)
| | - Claude B Sirlin
- From the 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, Korea (H.J.J., S.H.C., S.J.C., J.H.B., H.J.W., Y.M.S.); University of Ulsan College of Medicine, Seoul, Korea (S.W.); and Liver Imaging Group, Department of Radiology, University of California- San Diego, San Diego, Calif (C.B.S.)
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Singh S, Delungahawatta T, Wolff M, Haas CJ. Tumor Growth in Overdrive: Detailing an Aggressive Course of Hepatocellular Carcinoma. Case Reports Hepatol 2024; 2024:4950398. [PMID: 38974801 PMCID: PMC11226333 DOI: 10.1155/2024/4950398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2024] [Revised: 06/01/2024] [Accepted: 06/07/2024] [Indexed: 07/09/2024] Open
Abstract
Hepatocellular carcinoma ranks as the third leading cause of cancer-related mortality globally. We present a case of a rapidly progressive hepatocellular carcinoma in an 81-year-old female with metabolic abnormalities. The patient initially presented with non-specific signs and symptoms and was managed for sepsis of suspected urinary source. Unresolving laboratory markers led to repeat abdominal imaging demonstrating new hepatic lesions within six days. Biopsy confirmed moderately differentiated hepatocellular carcinoma. The patient received conservative inpatient treatment with recommendation for nutritional and performance status optimization prior to oncologic therapies, however continued to decline and passed away three months later.
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Affiliation(s)
| | | | - Marcos Wolff
- MedStar Franklin Square Medical Center, Baltimore, MD, USA
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Cheo FY, Lim CHF, Chan KS, Shelat VG. The impact of waiting time and delayed treatment on the outcomes of patients with hepatocellular carcinoma: A systematic review and meta-analysis. Ann Hepatobiliary Pancreat Surg 2024; 28:1-13. [PMID: 38092430 PMCID: PMC10896687 DOI: 10.14701/ahbps.23-090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 08/27/2023] [Accepted: 08/30/2023] [Indexed: 02/06/2024] Open
Abstract
Hepatocellular carcinoma (HCC) is the sixth most diagnosed cancer worldwide. Healthcare resource constraints may predispose treatment delays. We aim to review existing literature on whether delayed treatment results in worse outcomes in HCC. PubMed, Embase, The Cochrane Library, and Scopus were systematically searched from inception till December 2022. Primary outcomes were overall survival (OS) and disease-free survival (DFS). Secondary outcomes included post-treatment mortality, readmission rates, and complications. Fourteen studies with a total of 135,389 patients (delayed n = 25,516, no delay n = 109,873) were included. Age, incidence of male patients, Child-Pugh B cirrhosis, and Barcelona Clinic Liver Cancer Stage 0/A HCC were comparable between delayed and no delay groups. Tumor size was significantly smaller in delayed versus no delay group (mean difference, -0.70 cm; 95% confidence interval [CI]: -1.14, 0.26; p = 0.002). More patients received radiofrequency ablation in delayed versus no delay group (OR, 1.22; 95% CI: 1.16, 1.27; p < 0.0001). OS was comparable between delayed and no delay in HCC treatment (hazard ratio [HR], 1.13; 95% CI: 0.99, 1.29; p = 0.07). Comparable DFS between delayed and no delay groups (HR, 0.99; 95% CI: 0.75, 1.30; p = 0.95) was observed. Subgroup analysis of studies that defined treatment delay as > 90 days showed comparable OS in the delayed group (HR, 1.04; 95% CI: 0.93, 1.16; p = 0.51). OS and DFS for delayed treatment were non-inferior compared to no delay, but might be due to better tumor biology/smaller tumor size in the delayed group.
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Affiliation(s)
- Feng Yi Cheo
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | | | - Kai Siang Chan
- Department of General Surgery, Tan Tock Seng Hospital, Singapore
| | - Vishal Girishchandra Shelat
- Department of General Surgery, Tan Tock Seng Hospital, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
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5
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Xie S, Zhang Y, Chen J, Jiang T, Liu W, Rong D, Sun L, Zhang L, He B, Wang J. Can modified LI-RADS increase the sensitivity of LI-RADS v2018 for the diagnosis of 10-19 mm hepatocellular carcinoma on gadoxetic acid-enhanced MRI? Abdom Radiol (NY) 2022; 47:596-607. [PMID: 34773467 DOI: 10.1007/s00261-021-03339-7] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Revised: 10/29/2021] [Accepted: 10/29/2021] [Indexed: 12/11/2022]
Abstract
PURPOSE To evaluate whether the Liver Imaging Reporting and Data System (LI-RADS) v2018 LR-5 criteria can be modified to increase sensitivity without reducing specificity for diagnosing 10-19 mm hepatocellular carcinoma (HCC) on gadoxetic acid-enhanced magnetic resonance imaging (MRI). METHODS A total of 133 high-risk consecutive patients with 174 small observations (10-19 mm) detected on gadoxetic acid-enhanced MRI were retrospectively studied. LI-RADS MRI major features (MFs) and ancillary features (AFs) were reviewed by two independent radiologists in consensus. Observations were categorized using LI-RADS v2018 MFs. Independently significant AFs were identified through logistic regression analysis. Upgraded LR-5 criteria were developed by combining independently significant AFs with MFs of LR-3 or LR-4 v2018. The sensitivity and specificity of the new diagnostic criteria were compared with those of LR-5 v2018 using McNemar's test. RESULTS Three of the AFs favoring malignancy [mild-moderate T2 hyperintensity, transitional phase (TP) hypointensity and fat in mass] were independently significant features for diagnosing 10-19 mm HCC. The upgraded LR-5 criteria (mLI-RADS VII: LR-4 + mild-moderate T2 hyperintensity/TP hypointensity or LR-3 + fat in mass) yielded a significantly greater sensitivity than that of the LR-5 v2018 criteria (70.4% vs 55.1%; p < 0.001), whereas the specificity was not significantly different (94.7% vs 98.7%, p = 0.250). CONCLUSIONS Independently significant AFs may be used to upgrade an observation from LR-3/LR-4 to LR-5, which can improve the sensitivity without impairing the specificity for diagnosing 10-19 mm HCC on gadoxetic acid-enhanced MRI.
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Affiliation(s)
- Sidong Xie
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University (SYSU), No 600, Tianhe Road, Guangzhou, 510630, Guangdong, People's Republic of China
| | - Yao Zhang
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University (SYSU), No 600, Tianhe Road, Guangzhou, 510630, Guangdong, People's Republic of China
| | - Jingbiao Chen
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University (SYSU), No 600, Tianhe Road, Guangzhou, 510630, Guangdong, People's Republic of China
| | - Ting Jiang
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University (SYSU), No 600, Tianhe Road, Guangzhou, 510630, Guangdong, People's Republic of China
| | - Weimin Liu
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University (SYSU), No 600, Tianhe Road, Guangzhou, 510630, Guangdong, People's Republic of China
| | - Dailin Rong
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University (SYSU), No 600, Tianhe Road, Guangzhou, 510630, Guangdong, People's Republic of China
| | - Lin Sun
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University (SYSU), No 600, Tianhe Road, Guangzhou, 510630, Guangdong, People's Republic of China
| | - Linqi Zhang
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University (SYSU), No 600, Tianhe Road, Guangzhou, 510630, Guangdong, People's Republic of China
| | - Bingjun He
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University (SYSU), No 600, Tianhe Road, Guangzhou, 510630, Guangdong, People's Republic of China
| | - Jin Wang
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University (SYSU), No 600, Tianhe Road, Guangzhou, 510630, Guangdong, People's Republic of China.
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Maffei ME. Magnetic Fields and Cancer: Epidemiology, Cellular Biology, and Theranostics. Int J Mol Sci 2022; 23:1339. [PMID: 35163262 PMCID: PMC8835851 DOI: 10.3390/ijms23031339] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 01/22/2022] [Accepted: 01/22/2022] [Indexed: 02/08/2023] Open
Abstract
Humans are exposed to a complex mix of man-made electric and magnetic fields (MFs) at many different frequencies, at home and at work. Epidemiological studies indicate that there is a positive relationship between residential/domestic and occupational exposure to extremely low frequency electromagnetic fields and some types of cancer, although some other studies indicate no relationship. In this review, after an introduction on the MF definition and a description of natural/anthropogenic sources, the epidemiology of residential/domestic and occupational exposure to MFs and cancer is reviewed, with reference to leukemia, brain, and breast cancer. The in vivo and in vitro effects of MFs on cancer are reviewed considering both human and animal cells, with particular reference to the involvement of reactive oxygen species (ROS). MF application on cancer diagnostic and therapy (theranostic) are also reviewed by describing the use of different magnetic resonance imaging (MRI) applications for the detection of several cancers. Finally, the use of magnetic nanoparticles is described in terms of treatment of cancer by nanomedical applications for the precise delivery of anticancer drugs, nanosurgery by magnetomechanic methods, and selective killing of cancer cells by magnetic hyperthermia. The supplementary tables provide quantitative data and methodologies in epidemiological and cell biology studies. Although scientists do not generally agree that there is a cause-effect relationship between exposure to MF and cancer, MFs might not be the direct cause of cancer but may contribute to produce ROS and generate oxidative stress, which could trigger or enhance the expression of oncogenes.
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Affiliation(s)
- Massimo E Maffei
- Department Life Sciences and Systems Biology, University of Turin, Via Quarello 15/a, 10135 Turin, Italy
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Nathani P, Gopal P, Rich NE, Yopp A, Yokoo T, John B, Marrero JA, Parikh ND, Singal AG. Hepatocellular carcinoma tumour volume doubling time: a systematic review and meta-analysis. Gut 2021; 70:401-407. [PMID: 32398224 PMCID: PMC7657990 DOI: 10.1136/gutjnl-2020-321040] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Revised: 04/23/2020] [Accepted: 04/23/2020] [Indexed: 12/13/2022]
Abstract
BACKGROUND Tumour growth patterns have important implications for surveillance intervals, prognostication and treatment decisions but have not been well described for hepatocellular carcinoma (HCC). The aim of our study was to characterise HCC doubling time and identify correlates for indolent and rapid growth patterns. METHODS We performed a systematic literature review of Medline and EMBASE databases from inception to December 2019 and national meeting abstracts from 2010 to 2018. We identified studies reporting HCC tumour growth or tumour volume doubling time (TVDT), without intervening treatment, and abstracted data to calculate TVDT and correlates of growth patterns (rapid defined as TVDT <3 months and indolent as TVDT >9 months). Pooled TVDT was calculated using a random-effects model. RESULTS We identified 20 studies, including 1374 HCC lesions in 1334 patients. The pooled TVDT was 4.6 months (95% CI 3.9 to 5.3 months I2=94%), with 35% classified as rapid, 27.4% intermediate and 37.6% indolent growth. In subgroup analysis, studies from Asia reported shorter TVDT than studies elsewhere (4.1 vs 5.8 months). The most consistent correlates of rapid tumour growth included hepatitis B aetiology, smaller tumour size (continuous), alpha fetoprotein doubling time and poor tumour differentiation. Studies were limited by small sample sizes, measurement bias and selection bias. CONCLUSION TVDT of HCC is approximately 4-5 months; however, there is heterogeneity in tumour growth patterns, including more aggressive patterns in Asian hepatitis B-predominant populations. Identifying correlates of tumour growth patterns is important to better individualise HCC prognostication and treatment decisions.
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Affiliation(s)
- Piyush Nathani
- Department of Internal Medicine, UT Southwestern Medical Center, Dallas TX
| | - Purva Gopal
- Department of Pathology, UT Southwestern Medical Center, Dallas TX
| | - Nicole E. Rich
- Department of Internal Medicine, UT Southwestern Medical Center, Dallas TX
| | - Adam Yopp
- Department of Surgery, UT Southwestern Medical Center, Dallas TX
| | - Takeshi Yokoo
- Department of Radiology, UT Southwestern Medical Center, Dallas TX
| | - Binu John
- Department of Internal Medicine, University of Miami, Miami FL
| | - Jorge A Marrero
- Department of Internal Medicine, UT Southwestern Medical Center, Dallas TX
| | - Neehar D. Parikh
- Department of Internal Medicine, University of Michigan, Ann Arbor MI
| | - Amit G. Singal
- Department of Internal Medicine, UT Southwestern Medical Center, Dallas TX
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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: 8.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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Liang C, Cheng Z, Huang Y, He L, Chen X, Ma Z, Huang X, Liang C, Liu Z. An MRI-based Radiomics Classifier for Preoperative Prediction of Ki-67 Status in Breast Cancer. Acad Radiol 2018; 25:1111-1117. [PMID: 29428211 DOI: 10.1016/j.acra.2018.01.006] [Citation(s) in RCA: 72] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2017] [Revised: 01/01/2018] [Accepted: 01/01/2018] [Indexed: 02/06/2023]
Abstract
RATIONALE AND OBJECTIVES This study aims to investigate the value of a magnetic resonance imaging-based radiomics classifier for preoperatively predicting the Ki-67 status in patients with breast cancer. MATERIALS AND METHODS We chronologically divided 318 patients with clinicopathologically confirmed breast cancer into a training dataset (n = 200) and a validation dataset (n = 118). Radiomics features were extracted from T2-weighted (T2W) and contrast-enhanced T1-weighted (T1+C) images of breast cancer. Radiomics feature selection and radiomics classifiers were generated using the least absolute shrinkage and selection operator regression analysis method. The correlation between the radiomics classifiers and the Ki-67 status in patients with breast cancer was explored. The predictive performances of the radiomics classifiers for the Ki-67 status were evaluated with receiver operating characteristic curves in the training dataset and validated in the validation dataset. RESULTS Through the radiomics feature selection, 16 and 14 features based on T2W and T1+C images, respectively, were selected to constitute the radiomics classifiers. The radiomics classifier based on T2W images was significantly correlated with the Ki-67 status in both the training and the validation datasets (both P < .0001). The radiomics classifier based on T1+C images was significantly correlated with the Ki-67 status in the training dataset (P < .0001) but not in the validation dataset (P = .083). The T2W image-based radiomics classifier exhibited good discrimination for Ki-67 status, with areas under the receiver operating characteristic curves of 0.762 (95% confidence interval: 0.685, 0.838) and 0.740 (95% confidence interval: 0.645, 0.836) in the training and validation datasets, respectively. CONCLUSIONS The T2W image-based radiomics classifier was a significant predictor of Ki-67 status in patients with breast cancer. Thus, it may serve as a noninvasive approach to facilitate the preoperative prediction of Ki-67 status in clinical practice.
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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: 7.3] [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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11
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Willatt J, Ruma JA, Azar SF, Dasika NL, Syed F. Imaging of hepatocellular carcinoma and image guided therapies - how we do it. Cancer Imaging 2017; 17:9. [PMID: 28259177 PMCID: PMC5336669 DOI: 10.1186/s40644-017-0110-z] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2016] [Accepted: 02/14/2017] [Indexed: 02/08/2023] Open
Abstract
Treatment options for hepatocellular carcinoma have evolved over recent years. Interventional radiologists and surgeons can offer curative treatments for early stage tumours, and locoregional therapies can be provided resulting in longer survival times. Early diagnosis with screening ultrasound is the key. CT and MRI are used to characterize lesions and determine the extent of tumour burden. Imaging techniques are discussed in this article as the correct imaging protocols are essential to optimise successful detection and characterisation. After treatment it is important to establish regular imaging follow up with CT or MRI as local residual disease can be easily treated, and recurrence elsewhere in the liver is common.
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Affiliation(s)
- Jonathon Willatt
- Veterans Administration, University of Michigan, Ann Arbor, MI, USA.
| | - Julie A Ruma
- Veterans Administration, University of Michigan, Ann Arbor, MI, USA
| | - Shadi F Azar
- Veterans Administration, University of Michigan, Ann Arbor, MI, USA
| | - Nara L Dasika
- Veterans Administration, University of Michigan, Ann Arbor, MI, USA
| | - F Syed
- Veterans Administration, University of Michigan, Ann Arbor, MI, USA
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12
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Sofue K, Burke LM, Nilmini V, Alagiyawanna M, Muir AJ, Choudhury KR, Jaffe TA, Semelka RC, Bashir MR. Liver imaging reporting and data system category 4 observations in MRI: Risk factors predicting upgrade to category 5. J Magn Reson Imaging 2017; 46:783-792. [DOI: 10.1002/jmri.25627] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2016] [Accepted: 12/22/2016] [Indexed: 11/08/2022] Open
Affiliation(s)
- Keitaro Sofue
- Department of Radiology; Duke University Medical Center; Durham North Carolina USA
- Department of Radiology; Kobe University Graduate School of Medicine; Kobe Japan
| | - Lauren M.B. Burke
- Department of Radiology; University of North Carolina at Chapel Hill; Chapel Hill North Carolina USA
| | - Viragi Nilmini
- Department of Radiology; University of North Carolina at Chapel Hill; Chapel Hill North Carolina USA
| | - Madavi Alagiyawanna
- Department of Radiology; University of North Carolina at Chapel Hill; Chapel Hill North Carolina USA
| | - Andrew J. Muir
- Department of Medicine; Duke University Medical Center; Durham North Carolina USA
| | | | - Tracy A. Jaffe
- Department of Radiology; Duke University Medical Center; Durham North Carolina USA
| | - Richard C. Semelka
- Department of Radiology; University of North Carolina at Chapel Hill; Chapel Hill North Carolina USA
| | - Mustafa R. Bashir
- Department of Radiology; Duke University Medical Center; Durham North Carolina USA
- Center for Advanced Magnetic Resonance Development; Duke University Medical Center; Durham North Carolina USA
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13
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Matos AP, Velloni F, Ramalho M, AlObaidy M, Rajapaksha A, Semelka RC. Focal liver lesions: Practical magnetic resonance imaging approach. World J Hepatol 2015; 7:1987-2008. [PMID: 26261689 PMCID: PMC4528273 DOI: 10.4254/wjh.v7.i16.1987] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2015] [Revised: 06/24/2015] [Accepted: 07/23/2015] [Indexed: 02/06/2023] Open
Abstract
With the widespread of cross-sectional imaging, a growth of incidentally detected focal liver lesions (FLL) has been observed. A reliable detection and characterization of FLL is critical for optimal patient management. Maximizing accuracy of imaging in the context of FLL is paramount in avoiding unnecessary biopsies, which may result in post-procedural complications. A tremendous development of new imaging techniques has taken place during these last years. Nowadays, Magnetic resonance imaging (MRI) plays a key role in management of liver lesions, using a radiation-free technique and a safe contrast agent profile. MRI plays a key role in the non-invasive correct characterization of FLL. MRI is capable of providing comprehensive and highly accurate diagnostic information, with the additional advantage of lack of harmful ionizing radiation. These properties make MRI the mainstay for the noninvasive evaluation of focal liver lesions. In this paper we review the state-of-the-art MRI liver protocol, briefly discussing different sequence types, the unique characteristics of imaging non-cooperative patients and discuss the role of hepatocyte-specific contrast agents. A review of the imaging features of the most common benign and malignant FLL is presented, supplemented by a schematic representation of a simplistic practical approach on MRI.
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Affiliation(s)
- António P Matos
- António P Matos, Fernanda Velloni, Miguel Ramalho, Mamdoh AlObaidy, Aruna Rajapaksha, Richard C Semelka, Department of Radiology, University of North Carolina, Chapel Hill, NC 27599-7510, United States
| | - Fernanda Velloni
- António P Matos, Fernanda Velloni, Miguel Ramalho, Mamdoh AlObaidy, Aruna Rajapaksha, Richard C Semelka, Department of Radiology, University of North Carolina, Chapel Hill, NC 27599-7510, United States
| | - Miguel Ramalho
- António P Matos, Fernanda Velloni, Miguel Ramalho, Mamdoh AlObaidy, Aruna Rajapaksha, Richard C Semelka, Department of Radiology, University of North Carolina, Chapel Hill, NC 27599-7510, United States
| | - Mamdoh AlObaidy
- António P Matos, Fernanda Velloni, Miguel Ramalho, Mamdoh AlObaidy, Aruna Rajapaksha, Richard C Semelka, Department of Radiology, University of North Carolina, Chapel Hill, NC 27599-7510, United States
| | - Aruna Rajapaksha
- António P Matos, Fernanda Velloni, Miguel Ramalho, Mamdoh AlObaidy, Aruna Rajapaksha, Richard C Semelka, Department of Radiology, University of North Carolina, Chapel Hill, NC 27599-7510, United States
| | - Richard C Semelka
- António P Matos, Fernanda Velloni, Miguel Ramalho, Mamdoh AlObaidy, Aruna Rajapaksha, Richard C Semelka, Department of Radiology, University of North Carolina, Chapel Hill, NC 27599-7510, United States
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