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Impact of Obesity and Heavy Alcohol Consumption on Hepatocellular Carcinoma Development after HCV Eradication with Antivirals

Minami, Tatsuya ; Tateishi, Ryosuke ; Fujiwara, Naoto ; [weitere]

S. Karger AG ; 2021

In: Liver Cancer Vol. 10, No. 4 ( 2021), p. 309-319

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In: Liver Cancer, S. Karger AG, Vol. 10, No. 4 ( 2021), p. 309-319

Kurzfassung: 〈 b 〉 〈 i 〉 Background and Aims: 〈 /i 〉 〈 /b 〉 It remains unclear whether obesity increases the risk of hepatocellular carcinoma (HCC) in patients with chronic hepatitis C who achieved a sustained virological response (SVR) with antiviral therapy. 〈 b 〉 〈 i 〉 Methods: 〈 /i 〉 〈 /b 〉 In this multicenter cohort study, we enrolled patients with chronic hepatitis C who achieved SVR with interferon (IFN)-based therapy (IFN group) or direct-acting antiviral (DAA) therapy (DAA group) between January 1, 1990, and December 31, 2018. The patients underwent regular surveillance for HCC. Cumulative incidence of and the risk factors for HCC development after SVR were assessed using the Kaplan-Meier method and Cox proportional hazard regression analysis, respectively. 〈 b 〉 〈 i 〉 Results: 〈 /i 〉 〈 /b 〉 Among 2,055 patients (840 in the IFN group and 1,215 in the DAA group), 75 developed HCC (41 in the IFN group and 34 in the DAA group) during the mean observation period of 4.1 years. The incidence rates of HCC at 1, 2, and 3 years were 1.2, 1.9, and 3.0%, respectively. Multivariate analysis revealed that in addition to older age, lower albumin level, lower platelet count, higher alpha-fetoprotein level, and absence of dyslipidemia, obesity (body mass index ≥25 kg/m 〈 sup 〉 2 〈 /sup 〉 ) and heavy alcohol consumption (≥60 g/day) were independent risk factors for HCC development, with adjusted hazard ratio (HR) of 2.53 (95% confidence interval [CI]: 1.51–4.25) and 2.56 (95% CI: 1.14–5.75), respectively. The adjusted HR was not significant between the 2 groups (DAA vs. IFN; HR 1.19, 95% CI: 0.61–2.33). 〈 b 〉 〈 i 〉 Conclusions: 〈 /i 〉 〈 /b 〉 Obesity and heavy alcohol consumption increased the risk of HCC development after SVR.

Materialart: Online-Ressource

ISSN: 2235-1795 , 1664-5553

URL: Article

DOI: 10.1159/000513705

Sprache: Englisch

Verlag: S. Karger AG

Publikationsdatum: 2021

ZDB Id: 2666925-0

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Radiofrequency Ablation of Liver Tumors in Patients on Antithrombotic Therapy: A Case-Control Analysis of over 10,000 Treatments

Uchino, Koji ; Tateishi, Ryosuke ; Wake, Taijiro ; [weitere]

Elsevier BV ; 2021

In: Journal of Vascular and Interventional Radiology Vol. 32, No. 6 ( 2021-06), p. 869-877

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In: Journal of Vascular and Interventional Radiology, Elsevier BV, Vol. 32, No. 6 ( 2021-06), p. 869-877

Materialart: Online-Ressource

ISSN: 1051-0443

URL: Article

DOI: 10.1016/j.jvir.2021.02.021

Sprache: Englisch

Verlag: Elsevier BV

Publikationsdatum: 2021

ZDB Id: 2041331-2

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Development of a transformer model for predicting the prognosis of patients with hepatocellular carcinoma after radiofrequency ablation

Sato, Masaya ; Moriyama, Makoto ; Fukumoto, Tsuyoshi ; [weitere]

Springer Science and Business Media LLC ; 2023

In: Hepatology International

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In: Hepatology International, Springer Science and Business Media LLC

Kurzfassung: Radiofrequency ablation (RFA) is a widely accepted, minimally invasive treatment modality for patients with hepatocellular carcinoma (HCC). Accurate prognosis prediction is important to identify patients at high risk for cancer progression/recurrence after RFA. Recently, state-of-the-art transformer models showing improved performance over existing deep learning-based models have been developed in several fields. This study was aimed at developing and validating a transformer model to predict the overall survival in HCC patients with treated by RFA. Methods We enrolled a total of 1778 treatment-naïve HCC patients treated by RFA as the first-line treatment. We developed a transformer-based machine learning model to predict the overall survival in the HCC patients treated by RFA and compared its predictive performance with that of a deep learning-based model. Model performance was evaluated by determining the Harrel’s c-index and validated externally by the split-sample method. Results The Harrel’s c -index of the transformer-based model was 0.69, indicating its better discrimination performance than that of the deep learning model (Harrel’s c -index, 0.60) in the external validation cohort. The transformer model showed a high discriminative ability for stratifying the external validation cohort into two or three different risk groups ( p 〈 0.001 for both risk groupings). The model also enabled output of a personalized cumulative recurrence prediction curve for each patient. Conclusions We developed a novel transformer model for personalized prediction of the overall survival in HCC patients after RFA treatment. The current model may offer a personalized survival prediction schema for patients with HCC undergoing RFA treatment.

Materialart: Online-Ressource

ISSN: 1936-0533 , 1936-0541

URL: Article

DOI: 10.1007/s12072-023-10585-y

Sprache: Englisch

Verlag: Springer Science and Business Media LLC

Publikationsdatum: 2023

ZDB Id: 2270316-0

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Improved liver function in patients with cirrhosis due to chronic hepatitis C virus who achieve sustained virologic response is not accompanied by increased liver volume

Wake, Taijiro ; Tateishi, Ryosuke ; Fukumoto, Tsuyoshi ; [weitere]

Public Library of Science (PLoS) ; 2020

In: PLOS ONE Vol. 15, No. 4 ( 2020-4-20), p. e0231836-

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In: PLOS ONE, Public Library of Science (PLoS), Vol. 15, No. 4 ( 2020-4-20), p. e0231836-

Materialart: Online-Ressource

ISSN: 1932-6203

URL: Article

DOI: 10.1371/journal.pone.0231836

DOI: 10.1371/journal.pone.0231836.g001

DOI: 10.1371/journal.pone.0231836.g002

DOI: 10.1371/journal.pone.0231836.g003

DOI: 10.1371/journal.pone.0231836.g004

DOI: 10.1371/journal.pone.0231836.t001

DOI: 10.1371/journal.pone.0231836.t002

DOI: 10.1371/journal.pone.0231836.t003

DOI: 10.1371/journal.pone.0231836.s001

DOI: 10.1371/journal.pone.0231836.s002

DOI: 10.1371/journal.pone.0231836.s003

DOI: 10.1371/journal.pone.0231836.s004

DOI: 10.1371/journal.pone.0231836.s005

DOI: 10.1371/journal.pone.0231836.s006

DOI: 10.1371/journal.pone.0231836.s007

DOI: 10.1371/journal.pone.0231836.s008

Sprache: Englisch

Verlag: Public Library of Science (PLoS)

Publikationsdatum: 2020

ZDB Id: 2267670-3

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Sarcopenia, intramuscular fat deposition, and visceral adiposity independently predict the outcomes of hepatocellular carcinoma

Fujiwara, Naoto ; Nakagawa, Hayato ; Kudo, Yotaro ; [weitere]

Elsevier BV ; 2015

In: Journal of Hepatology Vol. 63, No. 1 ( 2015-07), p. 131-140

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In: Journal of Hepatology, Elsevier BV, Vol. 63, No. 1 ( 2015-07), p. 131-140

Materialart: Online-Ressource

ISSN: 0168-8278

URL: Article

DOI: 10.1016/j.jhep.2015.02.031

Sprache: Englisch

Verlag: Elsevier BV

Publikationsdatum: 2015

ZDB Id: 2027112-8

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Post-treatment cell-free DNA as a predictive biomarker in molecular-targeted therapy of hepatocellular carcinoma

Nakatsuka, Takuma ; Nakagawa, Hayato ; Hayata, Yuki ; [weitere]

Springer Science and Business Media LLC ; 2021

In: Journal of Gastroenterology Vol. 56, No. 5 ( 2021-05), p. 456-469

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In: Journal of Gastroenterology, Springer Science and Business Media LLC, Vol. 56, No. 5 ( 2021-05), p. 456-469

Materialart: Online-Ressource

ISSN: 0944-1174 , 1435-5922

URL: Article

DOI: 10.1007/s00535-021-01773-4

Sprache: Englisch

Verlag: Springer Science and Business Media LLC

Publikationsdatum: 2021

ZDB Id: 1473159-9

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Machine learning for individualized prediction of hepatocellular carcinoma development after the eradication of hepatitis C virus with antivirals

Minami, Tatsuya ; Sato, Masaya ; Toyoda, Hidenori ; [weitere]

Elsevier BV ; 2023

In: Journal of Hepatology Vol. 79, No. 4 ( 2023-10), p. 1006-1014

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In: Journal of Hepatology, Elsevier BV, Vol. 79, No. 4 ( 2023-10), p. 1006-1014

Materialart: Online-Ressource

ISSN: 0168-8278

URL: Article

DOI: 10.1016/j.jhep.2023.05.042

Sprache: Englisch

Verlag: Elsevier BV

Publikationsdatum: 2023

ZDB Id: 2027112-8

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Infectious complications related to radiofrequency ablation of liver tumors: The role of antibiotics

Nakagomi, Ryo ; Tateishi, Ryosuke ; Mikami, Shintaro ; [weitere]

Public Library of Science (PLoS) ; 2021

In: PLOS ONE Vol. 16, No. 11 ( 2021-11-19), p. e0259641-

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In: PLOS ONE, Public Library of Science (PLoS), Vol. 16, No. 11 ( 2021-11-19), p. e0259641-

Kurzfassung: Prophylactic administration of antibiotics within 24 hours of surgery is recommended to reduce the risk of infection. We conducted a prospective study to compare the efficacy of single administration of antibiotics with a historical control of continuous administration of antibiotics for radiofrequency ablation (RFA) of malignant liver tumors. Methods Between February 1, 1999 and November 30, 2010, a total of 6,763 RFA treatments were performed in 2,355 patients, using a protocol with continuous administration of prophylactic antibiotics. On December 1, 2010, we began using a revised protocol with a single administration of prophylactic antibiotics, while continuing to use the old continuous administration protocol for patients who declined the new protocol. Interim analysis was performed to assess the safety of the single administration protocol. Thereafter, from April 1, 2012, all patients were treated using the new protocol. Risk factors for infectious complications of RFA were assessed using logistic regression. Results From December 2010 to March 2012, 766 RFA treatments were performed in 663 patients using the new antibiotic protocol. Infectious complications were observed following 4 of these treatments (0.52%). As the upper limit of the confidence interval (CI) resulting from a one-sided binomial test was exactly the prespecified limit of 1.0%, from April 2012 onwards, we treated all patients using the new protocol with single administration of prophylactic antibiotics. A total of 3,547 RFA treatments were performed using the single administration protocol. Univariable logistic regression indicated that prior transcatheter arterial chemoembolization (TACE) and maximal tumor diameter were significant risk factors for infectious complications (P = 0.04 and P 〈 0.001, respectively). Multivariable analysis indicated that the adjusted hazard ratio of single vs. continuous administration of antibiotics was 1.20 (95% CI: 0.53–2.75; P = 0.66). Conclusions The rate of infectious complications related to RFA was acceptably low. Single administration of prophylactic antibiotics did not significantly increase the rate of infectious complications related to RFA, compared with a more intensive antibiotic protocol.

Materialart: Online-Ressource

ISSN: 1932-6203

URL: Article

DOI: 10.1371/journal.pone.0259641

DOI: 10.1371/journal.pone.0259641.g001

DOI: 10.1371/journal.pone.0259641.g002

DOI: 10.1371/journal.pone.0259641.g003

DOI: 10.1371/journal.pone.0259641.t001

DOI: 10.1371/journal.pone.0259641.t002

DOI: 10.1371/journal.pone.0259641.t003

DOI: 10.1371/journal.pone.0259641.t004

DOI: 10.1371/journal.pone.0259641.s001

DOI: 10.1371/journal.pone.0259641.s002

DOI: 10.1371/journal.pone.0259641.s003

DOI: 10.1371/journal.pone.0259641.s004

DOI: 10.1371/journal.pone.0259641.r001

DOI: 10.1371/journal.pone.0259641.r002

DOI: 10.1371/journal.pone.0259641.r003

DOI: 10.1371/journal.pone.0259641.r004

DOI: 10.1371/journal.pone.0259641.r005

DOI: 10.1371/journal.pone.0259641.r006

Sprache: Englisch

Verlag: Public Library of Science (PLoS)

Publikationsdatum: 2021

ZDB Id: 2267670-3

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A Novel Non-invasive Method for Predicting Liver Fibrosis by Quantifying the Hepatic Vein Waveform

Soroida, Yoko ; Nakatsuka, Takuma ; Sato, Masaya ; [weitere]

Elsevier BV ; 2019

In: Ultrasound in Medicine & Biology Vol. 45, No. 9 ( 2019-09), p. 2363-2371

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In: Ultrasound in Medicine & Biology, Elsevier BV, Vol. 45, No. 9 ( 2019-09), p. 2363-2371

Materialart: Online-Ressource

ISSN: 0301-5629

URL: Article

DOI: 10.1016/j.ultrasmedbio.2019.05.028

RVK:

XA 10000

Sprache: Englisch

Verlag: Elsevier BV

Publikationsdatum: 2019

ZDB Id: 1498918-9

SSG: 12

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Ischemic complications after percutaneous radiofrequency ablation of liver tumors: Liver volume loss and recovery

Wake, Taijiro ; Tateishi, Ryosuke ; Nakagomi, Ryo ; [weitere]

Wiley ; 2019

In: Hepatology Research Vol. 49, No. 4 ( 2019-04), p. 453-461

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In: Hepatology Research, Wiley, Vol. 49, No. 4 ( 2019-04), p. 453-461

Kurzfassung: The liver regrows after acute liver injury and liver resection. However, it is not clear whether the liver regenerates in advanced cirrhosis. This study aimed to evaluate the clinical course of, and liver volume change after, ischemic liver complications caused by radiofrequency ablation (RFA) of hepatocellular carcinoma (HCC). Methods We enrolled 35 patients with ischemic complications after RFA. Ischemic complications were defined as rapid elevation of aspartate aminotransferase (AST) to over 500 U/L, with typical radiological findings. Patient characteristics and the ischemic liver volume were investigated. Long‐term liver volume changes at 3–8 months after ischemic complications were also assessed in 32 patients. We also assessed the overall survival rate after ischemic complications. Results The median value of peak AST was 798 U/L (range, 531–4096 U/L). The median ischemic liver volume relative to the functional liver volume before RFA was 13% (range, 3.1–46.5%). There was a strong correlation between the peak AST value and the ischemic liver volume (r = 0.84, P 〈 0.001). The liver volume recovered to some extent in 18 of 32 (56%) patients after ischemic complications. The survival rate after ischemic complications was 45.7% at 5 years and correlated with the functional liver volume after ischemic complications ( P = 0.02). Conclusions Ischemic complications after RFA can lead to massive liver parenchymal loss. Although the liver volume recovered to some extent in the majority of our patients, ischemic liver complications after RFA should be avoided to improve the overall survival rate.

Materialart: Online-Ressource

ISSN: 1386-6346 , 1872-034X

URL: Issue

URL: Article

DOI: 10.1111/hepr.v49.4

DOI: 10.1111/hepr.13302

Sprache: Englisch

Verlag: Wiley

Publikationsdatum: 2019

ZDB Id: 2006439-1

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