Publications by authors named "Yutaka Endo"

Background/objectives: This study aimed to evaluate the safety, efficacy, and long-term outcomes of S-1-based neoadjuvant chemoradiotherapy (NACRT) in patients with resectable or borderline-resectable pancreatic ductal adenocarcinoma (PDAC).

Methods: This retrospective study included patients with PDAC who underwent S-1-based NACRT at our institute between 2010 and 2017.

Results: Forty patients were included in the study, including 15 (37.

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Introduction: There is no consensus on the optimal surveillance interval for patients undergoing resection of colorectal liver metastases (CRLM). We sought to assess the timing and intensity of recurrence following curative-intent resection of CRLM utilizing a recurrence-free survival (RFS) hazard function analysis.

Methods: Patients with CRLM who underwent curative-intent resection were identified from a multi-institutional database.

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Background: Utilization of minimally invasive surgery (MIS) has become increasingly popular due to its potential benefits such as earlier recovery and reduced morbidity. We sought to characterize differences in 1-year healthcare costs and missed workdays among patients undergoing MIS and open surgery for a hepatic or pancreatic indication.

Methods: Data on patients who underwent hepatic and pancreatic resection were obtained from the IBM Marketscan database.

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Background: Immune checkpoint inhibitors (ICIs) have recently been introduced into the treatment algorithm of patients with hepatocellular carcinoma (HCC). However, the cost effectiveness of ICIs compared with pre-existing therapies for HCC has not been assessed. We performed a meta-analysis to understand the incremental cost effectiveness of ICIs compared with sorafenib.

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Background: Patients with intellectual and developmental disabilities (IDD) face unique challenges resulting in disparities in their health care. We sought to define the effect that IDD had on achievement of a "textbook outcome" (TO) following a cancer operation among a nationally representative cohort of patients.

Methods: Data on patients who underwent surgery for a malignant indication, including lung, breast, liver, biliary tract, pancreas, and colorectal, between 2014 and 2020 were extracted from the 100% Medicare Standard Analytical Files database.

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Article Synopsis
  • A study was conducted to develop a machine learning (ML) model that predicts early extra-hepatic recurrence (EEHR) in patients who had colorectal liver metastasis (CRLM) surgery from 2000 to 2020.
  • The ML model, using eXtreme Gradient Boosting (XGBoost), successfully identified key factors influencing EEHR, achieving a c-index of 0.77, indicating good predictive power.
  • An online risk calculator was created to assist clinicians in evaluating patients' risks of EEHR post-surgery, potentially aiding in better treatment decisions for CRLM patients.*
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Article Synopsis
  • - Liver transplantation, while the main treatment for severe liver disease, faces challenges such as limited donors, expensive procedures, and risks of immune rejection.
  • - Mesenchymal stem cells (MSCs) have the ability to transform into liver-like cells and help with liver healing, but their clinical use is hindered by issues like abnormal cell changes and poor integration into the body.
  • - MSC-derived secretomes and extracellular vesicles (EVs) present a safer alternative that can improve transplant success and reduce complications, with ongoing research needed to refine their clinical use.
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Living donor liver transplantation (LDLT) is a treatment option for select patients with unresectable colorectal liver metastasis. We describe our center's experience of patient selection, insurance approval, and outcomes after LDLT after first referral in March 2019. Of the 206 evaluated patients, 23 underwent LDLT.

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Objective: We sought to identify patients at risk of "futile" surgery for intrahepatic cholangiocarcinoma using an artificial intelligence (AI)-based model based on preoperative variables.

Methods: Intrahepatic cholangiocarcinoma patients who underwent resection between 1990 and 2020 were identified from a multi-institutional database. Futility was defined either as mortality or recurrence within 12 months of surgery.

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Background And Objectives: Among patients undergoing liver resection for intrahepatic cholangiocarcinoma (ICC), perioperative bleeding requiring blood transfusion is a common complication, yet preoperative identification of patients at risk for transfusion remains challenging. The objective of this study was to develop a preoperative risk score for blood transfusion requirement during surgery for ICC.

Methods: Patients undergoing curative-intent liver surgery for ICC (1990-2020) were identified from a multi-institutional database.

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Background: Liver transplantation (LT) for nonresectable colorectal liver metastasis (NRCRLM) has become accepted for select patients meeting strict inclusion criteria. Advancements in patient selection and understanding of cancer biology may expand benefits to patients with colorectal liver metastasis (CRLM). In this meta-analysis, we sought to assess survival outcomes, recurrence patterns, and quality of life (QoL) after LT for CRLM.

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Background: The impact of hospital procedural volume on outcomes after hepatectomy relative to other facility-related factors remains unclear. We sought to define the comparative impact of hospital volume compared with other facility-related factors on postoperative outcomes among Medicare beneficiaries undergoing hepatectomy.

Methods: Data on patients who underwent hepatectomy between 2013 and 2021 were collected from the Medicare Standard Analytic Files and linked with facility-level data from the American Hospital Association Survey databases.

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Hepatocellular carcinoma (HCC) in the caudate lobe presents surgical challenges due to the lack of distinct anatomical landmarks. This case report introduces a novel surgical approach combining Takasaki's classification and indocyanine green negative counterstaining for precise anatomical caudate lobectomy. A 78-year-old patient with hepatocellular carcinoma in the caudate lobe underwent surgery following preoperative volumetric assessment.

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Purpose: We sought to develop an artificial intelligence (AI)-based model to predict early recurrence (ER) after curative-intent resection of neuroendocrine liver metastases (NELMs).

Methods: Patients with NELM who underwent resection were identified from a multi-institutional database. ER was defined as recurrence within 12 months of surgery.

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Article Synopsis
  • Access to healthcare providers is crucial for reducing cancer rates, particularly for hepatobiliary cancers, and this study examines the impact of provider density on related incidence and mortality.
  • Data from 1359 counties showed that those with low provider density had more residents over 65 and uninsured individuals, resulting in higher cancer incidence and mortality rates.
  • The findings indicate that counties with moderate to high provider density experienced lower cancer rates, suggesting that improving healthcare access can enhance cancer outcomes and healthcare equity.
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Background: We sought to assess the impact of various perioperative factors on the risk of severe complications and post-surgical mortality using a novel maching learning technique.

Methods: Data on patients undergoing resection for HCC were obtained from an international, multi-institutional database between 2000 and 2020. Gradient boosted trees were utilized to construct predictive models.

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Introduction: Accurate prediction of patients at risk for early recurrence (ER) among patients with colorectal liver metastases (CRLM) following preoperative chemotherapy and hepatectomy remains limited.

Methods: Patients with CRLM who received chemotherapy prior to undergoing curative-intent resection between 2000 and 2020 were identified from an international multi-institutional database. Multivariable Cox regression analysis was used to assess clinicopathological factors associated with ER, and an online calculator was developed and validated.

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Background: We sought to define the survival benefit of kidney transplantation versus long-term dialysis relative to waitlist time on dialysis, social vulnerability, and age among end-stage renal transplant candidates.

Methods: End-stage renal disease patients who were candidates for their first deceased donor kidney transplantation between 2008 and 2020 were identified using the US Renal Data System. Survival probabilities for patient survival were compared using the restricted mean survival times (RMSTs) across different age and social vulnerability index (SVI) ranges.

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Introduction: Given the importance of understanding COVID-19-positive donor incidence and acceptance, we characterize chronological and geographic variations in COVID-19 incidence relative to COVID-19-positive donor acceptance.

Methods: Data on deceased donors and recipients of liver and kidney transplants were obtained from the UNOS database between 2020 and 2023. Hierarchical cluster analysis was used to assess trends in COVID-19-positive donor incidence.

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Background: We sought to assess the impact of telemedicine on healthcare utilization and medical expenditures among patients with a diagnosis of gastrointestinal (GI) cancer.

Methods: Patients with newly diagnosed GI cancer from 2013 to 2020 were identified from the IBM MarketScan database (IBM Watson Health) . Healthcare utilization, total medical outpatient insurance payments within 1 year post-diagnosis, and out-of-pocket (OOP) expenses among telemedicine users and non-users were assessed after propensity score matching (PSM).

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Background: Process-based quality metrics are important for improving long-term outcomes after surgical resection. We sought to develop a practical surgical quality score for patients diagnosed with pancreatic ductal adenocarcinoma undergoing curative-intent resection.

Methods: Patients who underwent surgical resection for pancreatic ductal adenocarcinoma between 2010 and 2017 were identified using the National Cancer Database.

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Objective: We sought to characterize postoperative outcomes among patients who underwent an oncologic operation relative to whether the treating surgeon was an international medical graduate (IMG) versus a United States medical graduate (USMG).

Background: IMGs comprise approximately one quarter of the physician workforce in the United States.

Methods: The 100% Medicare Standard Analytic Files were utilized to extract data on patients with breast, lung, hepato-pancreato-biliary (HPB), and colorectal cancer who underwent surgical resection between 2014 and 2020.

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