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Sijberden JP, Hoogteijling TJ, Aghayan D, Ratti F, Tan EK, Morrison-Jones V, Lanari J, Haentjens L, Wei K, Tzedakis S, Martinie J, Osei Bordom D, Zimmitti G, Crespo K, Magistri P, Russolillo N, Conci S, Görgec B, Benedetti Cacciaguerra A, D’Souza D, Zozaya G, Caula C, Geller D, Robles Campos R, Croner R, Rehman S, Jovine E, Efanov M, Alseidi A, Memeo R, Dagher I, Giuliante F, Sparrelid E, Ahmad J, Gallagher T, Schmelzle M, Swijnenburg RJ, Fretland ÅA, Cipriani F, Koh YX, White S, Lopez Ben S, Rotellar F, Serrano PE, Vivarelli M, Ruzzenente A, Ferrero A, Di Benedetto F, Besselink MG, Sucandy I, Sutcliffe RP, Vrochides D, Fuks D, Liu R, D’Hondt M, Cillo U, Primrose JN, Goh BK, Aldrighetti LA, Edwin B, Abu Hilal M. Robotic Versus Laparoscopic Liver Resection in Various Settings: An International Multicenter Propensity Score Matched Study of 10.075 Patients. Ann Surg 2024; 280:108-117. [PMID: 38482665 PMCID: PMC11161239 DOI: 10.1097/sla.0000000000006267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/09/2024]
Abstract
OBJECTIVE To compare the perioperative outcomes of robotic liver surgery (RLS) and laparoscopic liver surgery (LLS) in various settings. BACKGROUND Clear advantages of RLS over LLS have rarely been demonstrated, and the associated costs of robotic surgery are generally higher than those of laparoscopic surgery. Therefore, the exact role of the robotic approach in minimally invasive liver surgery remains to be defined. METHODS In this international retrospective cohort study, the outcomes of patients who underwent RLS and LLS for all indications between 2009 and 2021 in 34 hepatobiliary referral centers were compared. Subgroup analyses were performed to compare both approaches across several types of procedures: (1) minor resections in the anterolateral (2, 3, 4b, 5, and 6) or (2) posterosuperior segments (1, 4a, 7, 8), and (3) major resections (≥3 contiguous segments). Propensity score matching was used to mitigate the influence of selection bias. The primary outcome was textbook outcome in liver surgery (TOLS), previously defined as the absence of intraoperative incidents ≥grade 2, postoperative bile leak ≥grade B, severe morbidity, readmission, and 90-day or in-hospital mortality with the presence of an R0 resection margin in case of malignancy. The absence of a prolonged length of stay was added to define TOLS+. RESULTS Among the 10.075 included patients, 1.507 underwent RLS and 8.568 LLS. After propensity score matching, both groups constituted 1.505 patients. RLS was associated with higher rates of TOLS (78.3% vs 71.8%, P < 0.001) and TOLS+ (55% vs 50.4%, P = 0.026), less Pringle usage (39.1% vs 47.1%, P < 0.001), blood loss (100 vs 200 milliliters, P < 0.001), transfusions (4.9% vs 7.9%, P = 0.003), conversions (2.7% vs 8.8%, P < 0.001), overall morbidity (19.3% vs 25.7%, P < 0.001), and microscopically irradical resection margins (10.1% vs. 13.8%, P = 0.015), and shorter operative times (190 vs 210 minutes, P = 0.015). In the subgroups, RLS tended to have higher TOLS rates, compared with LLS, for minor resections in the posterosuperior segments (n = 431 per group, 75.9% vs 71.2%, P = 0.184) and major resections (n = 321 per group, 72.9% vs 67.5%, P = 0.086), although these differences did not reach statistical significance. CONCLUSIONS While both produce excellent outcomes, RLS might facilitate slightly higher TOLS rates than LLS.
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Affiliation(s)
- Jasper P. Sijberden
- Department of Surgery, Fondazione Poliambulanza Istituto Ospedaliero, Brescia, Italy
- Department of Surgery, Amsterdam UMC Location University of Amsterdam, Amsterdam, the Netherlands
- Cancer Center Amsterdam, Amsterdam, the Netherlands
| | - Tijs J. Hoogteijling
- Department of Surgery, Fondazione Poliambulanza Istituto Ospedaliero, Brescia, Italy
- Department of Surgery, Amsterdam UMC Location University of Amsterdam, Amsterdam, the Netherlands
- Cancer Center Amsterdam, Amsterdam, the Netherlands
| | - Davit Aghayan
- The Intervention Centre and Department of HPB Surgery, Oslo University Hospital and Institute of Medicine, University of Oslo, Oslo, Norway
- Department of Surgery, Ringerike Hospital, Vestre Viken Hospital Trust, Drammen, Norway
| | - Francesca Ratti
- Hepatobiliary Surgery Division, IRCCS San Raffaele Hospital, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Ek-Khoon Tan
- Department of Hepatopancreatobiliary and Transplant Surgery, Singapore General Hospital and National Cancer Centre Singapore, Singapore
| | - Victoria Morrison-Jones
- Department of Surgery, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Jacopo Lanari
- Department of Surgical, Oncological and Gastroenterological Sciences, General Surgery 2, Hepatopancreatobiliary Surgery and Liver Transplantation, Padua University Hospital, Padua, Italy
| | - Louis Haentjens
- Department of Digestive and Hepatobiliary/Pancreatic Surgery, Groeninge Hospital, Kortrijk, Belgium
| | - Kongyuan Wei
- Faculty of Hepatopancreatobiliary Surgery, the First Medical Center of Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
| | - Stylianos Tzedakis
- Department of Digestive, Oncologic and Metabolic Surgery, Institut Mutualiste Montsouris, Université Paris Descartes, Paris, France
| | - John Martinie
- Department of Surgery, Division of HPB Surgery, Carolinas Medical Center, Atrium Health, Charlotte, NC
| | | | - Giuseppe Zimmitti
- Department of Surgery, Fondazione Poliambulanza Istituto Ospedaliero, Brescia, Italy
| | - Kaitlyn Crespo
- Digestive Health Institute, AdventHealth Tampa, Tampa, FL
| | - Paolo Magistri
- Hepato-Pancreato-Biliary Surgery and Liver Transplantation Unit, University of Modena and Reggio Emilia, Modena, Italy
| | - Nadia Russolillo
- Department of General and Oncological Surgery, Umberto I Mauriziano Hospital, Largo Turati, Turin, Italy
| | - Simone Conci
- Department of Surgery, University of Verona, Verona, Italy
| | - Burak Görgec
- Department of Surgery, Amsterdam UMC Location University of Amsterdam, Amsterdam, the Netherlands
- Cancer Center Amsterdam, Amsterdam, the Netherlands
| | - Andrea Benedetti Cacciaguerra
- Department of Experimental and Clinical Medicine, Hepatobiliary and Abdominal Transplantation Surgery, Riuniti Hospital, Polytechnic University of Marche, Ancona, Italy
| | - Daniel D’Souza
- Department of Surgery, McMaster University, Hamilton, Ontario, Canada
| | - Gabriel Zozaya
- Department of Surgery, HPB and Liver Transplantation Unit, University Clinic, Universidad de Navarra, Institute of Health Research of Navarra (IdisNA), Pamplona, Spain
| | - Cèlia Caula
- Servei de Cirurgia General i Digestiva, Hospital Doctor Josep Trueta de Girona, Girona, Catalonia, Spain
| | - David Geller
- Department of Surgery, Division of Hepatobiliary and Pancreatic Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA
| | - Ricardo Robles Campos
- Department of General, Visceral and Transplantation Surgery, Clinic and University Hospital Virgen de la Arrixaca, IMIB-ARRIXACA, El Palmar, Murcia, Spain
| | - Roland Croner
- Department of General, Visceral, Vascular and Transplant Surgery, University Hospital Magdeburg, Magdeburg, Germany
| | - Shafiq Rehman
- Department of Surgery, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Elio Jovine
- Department of Surgery, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Mikhail Efanov
- Department of Hepato-Pancreato-Biliary Surgery, Moscow Clinical Scientific Center, Moscow, Russia
| | - Adnan Alseidi
- Department of Surgery, Virginia Mason Medical Center, Seattle, WA
- Department of Surgery, University of California San Francisco, CA
| | - Riccardo Memeo
- Hepato-Pancreato-Biliary Surgery Unit, Miulli Hospital, Acquaviva delle Fonti, Bari, Italy
| | - Ibrahim Dagher
- Department of Digestive Minimally Invasive Surgery, Antoine Béclère Hospital, Paris, France
| | - Felice Giuliante
- Chirurgia Epatobiliare, Università Cattolica del Sacro Cuore-IRCCS, Rome, Italy
| | - Ernesto Sparrelid
- Department for Clinical Science, Division of Surgery, Intervention and Technology (CLINTEC), Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Jawad Ahmad
- University Hospitals Coventry and Warwickshire, Clifford Bridges Road, Coventry, UK
| | - Tom Gallagher
- St. Vincent’s University Hospital, Elm Park, Dublin, Ireland
| | - Moritz Schmelzle
- Department of General, Visceral and Transplant Surgery, Medizinische Hochschule Hannover, Hannover, Germany
| | - Rutger-Jan Swijnenburg
- Department of Surgery, Amsterdam UMC Location University of Amsterdam, Amsterdam, the Netherlands
- Cancer Center Amsterdam, Amsterdam, the Netherlands
| | - Åsmund Avdem Fretland
- The Intervention Centre and Department of HPB Surgery, Oslo University Hospital and Institute of Medicine, University of Oslo, Oslo, Norway
| | - Federica Cipriani
- Hepatobiliary Surgery Division, IRCCS San Raffaele Hospital, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Ye-Xin Koh
- Department of Hepatopancreatobiliary and Transplant Surgery, Singapore General Hospital and National Cancer Centre Singapore, Singapore
| | - Steven White
- Department of General, Visceral, Vascular and Transplant Surgery, University Hospital Magdeburg, Magdeburg, Germany
| | - Santi Lopez Ben
- Servei de Cirurgia General i Digestiva, Hospital Doctor Josep Trueta de Girona, Girona, Catalonia, Spain
| | - Fernando Rotellar
- Department of Surgery, HPB and Liver Transplantation Unit, University Clinic, Universidad de Navarra, Institute of Health Research of Navarra (IdisNA), Pamplona, Spain
| | - Pablo E. Serrano
- Department of Surgery, McMaster University, Hamilton, Ontario, Canada
| | - Marco Vivarelli
- Department of Experimental and Clinical Medicine, Hepatobiliary and Abdominal Transplantation Surgery, Riuniti Hospital, Polytechnic University of Marche, Ancona, Italy
| | | | - Alessandro Ferrero
- Department of General and Oncological Surgery, Umberto I Mauriziano Hospital, Largo Turati, Turin, Italy
| | - Fabrizio Di Benedetto
- Hepato-Pancreato-Biliary Surgery and Liver Transplantation Unit, University of Modena and Reggio Emilia, Modena, Italy
| | - Marc G. Besselink
- Department of Surgery, Amsterdam UMC Location University of Amsterdam, Amsterdam, the Netherlands
- Cancer Center Amsterdam, Amsterdam, the Netherlands
| | | | | | - Dionisios Vrochides
- Department of Surgery, Division of Abdominal Transplantation, Carolinas Medical Center, Atrium Health, Charlotte, NC
| | - David Fuks
- Department of Digestive, Oncologic and Metabolic Surgery, Institut Mutualiste Montsouris, Université Paris Descartes, Paris, France
| | - Rong Liu
- Faculty of Hepatopancreatobiliary Surgery, the First Medical Center of Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
| | - Mathieu D’Hondt
- Department of Digestive and Hepatobiliary/Pancreatic Surgery, Groeninge Hospital, Kortrijk, Belgium
| | - Umberto Cillo
- Department of Surgical, Oncological and Gastroenterological Sciences, General Surgery 2, Hepatopancreatobiliary Surgery and Liver Transplantation, Padua University Hospital, Padua, Italy
| | - John N. Primrose
- Department of Surgery, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Brian K.P. Goh
- Department of Hepatopancreatobiliary and Transplant Surgery, Singapore General Hospital and National Cancer Centre Singapore, Singapore
- Surgery Academic Clinical Program, Duke-National University of Singapore Medical School, Singapore, Singapore
| | - Luca A. Aldrighetti
- Hepatobiliary Surgery Division, IRCCS San Raffaele Hospital, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Bjørn Edwin
- The Intervention Centre and Department of HPB Surgery, Oslo University Hospital and Institute of Medicine, University of Oslo, Oslo, Norway
| | - Mohammad Abu Hilal
- Department of Surgery, Fondazione Poliambulanza Istituto Ospedaliero, Brescia, Italy
- Department of Surgery, University Hospital Southampton NHS Foundation Trust, Southampton, UK
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Li H, Meng L, Yu S, Zheng H, Yu L, Wang H, Ren H, Li H, Zhang X, Wang Z, Yu P, Hu X, Yang M, Yan J, Shao Y, Cao L, Ding X, Hong Z, Zhu Z. Efficacy and safety of robotic versus laparoscopic liver resection for hepatocellular carcinoma: a propensity score-matched retrospective cohort study. Hepatol Int 2024:10.1007/s12072-024-10658-6. [PMID: 38740699 DOI: 10.1007/s12072-024-10658-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Accepted: 02/09/2024] [Indexed: 05/16/2024]
Abstract
BACKGROUND Evidence concerning long-term outcome of robotic liver resection (RLR) and laparoscopic liver resection (LLR) for hepatocellular carcinoma (HCC) patients is scarce. METHODS This study enrolled all patients who underwent RLR and LLR for resectable HCC between July 2016 and July 2021. Propensity score matching (PSM) was employed to create a 1:3 match between the RLR and LLR groups. A comprehensive collection and analysis of patient data regarding efficacy and safety have been conducted, along with the evaluation of the learning curve for RLR. RESULTS Following PSM, a total of 341 patients were included, with 97 in the RLR group and 244 in the LLR group. RLR group demonstrated a significantly longer operative time (median [IQR], 210 [152.0-298.0] min vs. 183.5 [132.3-263.5] min; p = 0.04), with no significant differences in other perioperative and short-term postoperative outcomes. Overall survival (OS) was similar between the two groups (p = 0.43), but RLR group exhibited improved recurrence-free survival (RFS) (median of 65 months vs. 56 months, p = 0.006). The estimated 5-year OS for RLR and LLR were 74.8% (95% CI: 65.4-85.6%) and 80.7% (95% CI: 74.0-88.1%), respectively. The estimated 5-year RFS for RLR and LLR were 58.6% (95% CI: 48.6-70.6%) and 38.3% (95% CI: 26.4-55.9%), respectively. In the multivariate Cox regression analysis, RLR (HR: 0.586, 95% CI (0.393-0.874), p = 0.008) emerged as an independent predictor of reducing recurrence rates and enhanced RFS. The operative learning curve indicates that approximately after the 11th case, the learning curve of RLR stabilized and entered a proficient phase. CONCLUSIONS OS was comparable between RLR and LLR, and while RFS was improved in the RLR group. RLR demonstrates oncological effectiveness and safety for resectable HCC.
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Affiliation(s)
- He Li
- Department of Hepatobiliary Surgery, The Fifth Medical Center of PLA General Hospital, Beijing, 100039, China
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China
| | - Lingzhan Meng
- Department of Hepatobiliary Surgery, The Fifth Medical Center of PLA General Hospital, Beijing, 100039, China
| | - Simiao Yu
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China
- Department of Hepatology of Traditional Chinese Medicine, The Fifth Medical Center of PLA General Hospital, Beijing, 100039, China
| | - Haocheng Zheng
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China
| | - Lingxiang Yu
- Department of Hepatobiliary Surgery, The Fifth Medical Center of PLA General Hospital, Beijing, 100039, China
| | - Hongbo Wang
- Department of Hepatobiliary Surgery, The Fifth Medical Center of PLA General Hospital, Beijing, 100039, China
| | - Hui Ren
- Department of Hepatobiliary Surgery, The Fifth Medical Center of PLA General Hospital, Beijing, 100039, China
| | - Hu Li
- Department of Hepatobiliary Surgery, The Fifth Medical Center of PLA General Hospital, Beijing, 100039, China
| | - Xiaofeng Zhang
- Department of Hepatobiliary Surgery, The Fifth Medical Center of PLA General Hospital, Beijing, 100039, China
| | - Zizheng Wang
- Department of Hepatobiliary Surgery, The Fifth Medical Center of PLA General Hospital, Beijing, 100039, China
| | - Peng Yu
- Department of Hepatobiliary Surgery, The Fifth Medical Center of PLA General Hospital, Beijing, 100039, China
| | - Xiongwei Hu
- Department of Hepatobiliary Surgery, The Fifth Medical Center of PLA General Hospital, Beijing, 100039, China
| | - Muyi Yang
- Department of Hepatobiliary Surgery, The Fifth Medical Center of PLA General Hospital, Beijing, 100039, China
| | - Jin Yan
- Department of Hepatobiliary Surgery, The Fifth Medical Center of PLA General Hospital, Beijing, 100039, China
| | - Yanling Shao
- Department of Hepatobiliary Surgery, The Fifth Medical Center of PLA General Hospital, Beijing, 100039, China
| | - Li Cao
- Department of Hepatobiliary Surgery, The Fifth Medical Center of PLA General Hospital, Beijing, 100039, China
| | - Xia Ding
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China
| | - Zhixian Hong
- Department of Hepatobiliary Surgery, The Fifth Medical Center of PLA General Hospital, Beijing, 100039, China.
| | - Zhenyu Zhu
- Department of Hepatobiliary Surgery, The Fifth Medical Center of PLA General Hospital, Beijing, 100039, China.
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5
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Une N, Kobayashi S, Kitaguchi D, Sunakawa T, Sasaki K, Ogane T, Hayashi K, Kosugi N, Kudo M, Sugimoto M, Hasegawa H, Takeshita N, Gotohda N, Ito M. Intraoperative artificial intelligence system identifying liver vessels in laparoscopic liver resection: a retrospective experimental study. Surg Endosc 2024; 38:1088-1095. [PMID: 38216749 DOI: 10.1007/s00464-023-10637-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 11/29/2023] [Indexed: 01/14/2024]
Abstract
BACKGROUND The precise recognition of liver vessels during liver parenchymal dissection is the crucial technique for laparoscopic liver resection (LLR). This retrospective feasibility study aimed to develop artificial intelligence (AI) models to recognize liver vessels in LLR, and to evaluate their accuracy and real-time performance. METHODS Images from LLR videos were extracted, and the hepatic veins and Glissonean pedicles were labeled separately. Two AI models were developed to recognize liver vessels: the "2-class model" which recognized both hepatic veins and Glissonean pedicles as equivalent vessels and distinguished them from the background class, and the "3-class model" which recognized them all separately. The Feature Pyramid Network was used as a neural network architecture for both models in their semantic segmentation tasks. The models were evaluated using fivefold cross-validation tests, and the Dice coefficient (DC) was used as an evaluation metric. Ten gastroenterological surgeons also evaluated the models qualitatively through rubric. RESULTS In total, 2421 frames from 48 video clips were extracted. The mean DC value of the 2-class model was 0.789, with a processing speed of 0.094 s. The mean DC values for the hepatic vein and the Glissonean pedicle in the 3-class model were 0.631 and 0.482, respectively. The average processing time for the 3-class model was 0.097 s. Qualitative evaluation by surgeons revealed that false-negative and false-positive ratings in the 2-class model averaged 4.40 and 3.46, respectively, on a five-point scale, while the false-negative, false-positive, and vessel differentiation ratings in the 3-class model averaged 4.36, 3.44, and 3.28, respectively, on a five-point scale. CONCLUSION We successfully developed deep-learning models that recognize liver vessels in LLR with high accuracy and sufficient processing speed. These findings suggest the potential of a new real-time automated navigation system for LLR.
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Affiliation(s)
- Norikazu Une
- Department of Hepatobiliary and Pancreatic Surgery, National Cancer Center Hospital East, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan
- Division of Medical Device Innovation, National Cancer Center Hospital East, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan
| | - Shin Kobayashi
- Department of Hepatobiliary and Pancreatic Surgery, National Cancer Center Hospital East, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan
| | - Daichi Kitaguchi
- Division of Medical Device Innovation, National Cancer Center Hospital East, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan
| | - Taiki Sunakawa
- Department of Hepatobiliary and Pancreatic Surgery, National Cancer Center Hospital East, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan
- Division of Medical Device Innovation, National Cancer Center Hospital East, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan
| | - Kimimasa Sasaki
- Department of Hepatobiliary and Pancreatic Surgery, National Cancer Center Hospital East, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan
- Division of Medical Device Innovation, National Cancer Center Hospital East, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan
| | - Tateo Ogane
- Division of Medical Device Innovation, National Cancer Center Hospital East, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan
| | - Kazuyuki Hayashi
- Division of Medical Device Innovation, National Cancer Center Hospital East, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan
| | - Norihito Kosugi
- Division of Medical Device Innovation, National Cancer Center Hospital East, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan
| | - Masashi Kudo
- Department of Hepatobiliary and Pancreatic Surgery, National Cancer Center Hospital East, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan
| | - Motokazu Sugimoto
- Department of Hepatobiliary and Pancreatic Surgery, National Cancer Center Hospital East, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan
| | - Hiro Hasegawa
- Division of Medical Device Innovation, National Cancer Center Hospital East, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan
| | - Nobuyoshi Takeshita
- Division of Medical Device Innovation, National Cancer Center Hospital East, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan
| | - Naoto Gotohda
- Department of Hepatobiliary and Pancreatic Surgery, National Cancer Center Hospital East, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan
| | - Masaaki Ito
- Division of Medical Device Innovation, National Cancer Center Hospital East, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan.
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