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2. Surgical Data Science -- from Concepts toward Clinical Translation

Author

Maier-Hein, Lena, Eisenmann, Matthias, Sarikaya, Duygu, März, Keno, Collins, Toby, Malpani, Anand, Fallert, Johannes, Feussner, Hubertus, Giannarou, Stamatia, Mascagni, Pietro, Nakawala, Hirenkumar, Park, Adrian, Pugh, Carla, Stoyanov, Danail, Vedula, Swaroop S., Cleary, Kevin, Fichtinger, Gabor, Forestier, Germain, Gibaud, Bernard, Grantcharov, Teodor, Hashizume, Makoto, Heckmann-Nötzel, Doreen, Kenngott, Hannes G., Kikinis, Ron, Mündermann, Lars, Navab, Nassir, Onogur, Sinan, Sznitman, Raphael, Taylor, Russell H., Tizabi, Minu D., Wagner, Martin, Hager, Gregory D., Neumuth, Thomas, Padoy, Nicolas, Collins, Justin, Gockel, Ines, Goedeke, Jan, Hashimoto, Daniel A., Joyeux, Luc, Lam, Kyle, Leff, Daniel R., Madani, Amin, Marcus, Hani J., Meireles, Ozanan, Seitel, Alexander, Teber, Dogu, Ückert, Frank, Müller-Stich, Beat P., Jannin, Pierre, and Speidel, Stefanie

Subjects
Computer Science - Computers and Society, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Image and Video Processing
Abstract

Recent developments in data science in general and machine learning in particular have transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a new research field that aims to improve the quality of interventional healthcare through the capture, organization, analysis and modeling of data. While an increasing number of data-driven approaches and clinical applications have been studied in the fields of radiological and clinical data science, translational success stories are still lacking in surgery. In this publication, we shed light on the underlying reasons and provide a roadmap for future advances in the field. Based on an international workshop involving leading researchers in the field of SDS, we review current practice, key achievements and initiatives as well as available standards and tools for a number of topics relevant to the field, namely (1) infrastructure for data acquisition, storage and access in the presence of regulatory constraints, (2) data annotation and sharing and (3) data analytics. We further complement this technical perspective with (4) a review of currently available SDS products and the translational progress from academia and (5) a roadmap for faster clinical translation and exploitation of the full potential of SDS, based on an international multi-round Delphi process.

Published
2020

5. Potential therapeutic targets discovery by transcriptome analysis of an in vitro human gastric signet ring carcinoma model

Author

Yamaguchi, Kyoko, Yoshihiro, Tomoyasu, Ariyama, Hiroshi, Ito, Mamoru, Nakano, Michitaka, Semba, Yuichiro, Nogami, Jumpei, Tsuchihashi, Kenji, Yamauchi, Takuji, Ueno, Shohei, Isobe, Taichi, Shindo, Koji, Moriyama, Taiki, Ohuchida, Kenoki, Nakamura, Masafumi, Nagao, Yoshihiro, Ikeda, Tetsuo, Hashizume, Makoto, Konomi, Hiroyuki, Torisu, Takehiro, Kitazono, Takanari, Kanayama, Tomohiro, Tomita, Hiroyuki, Oda, Yoshinao, Kusaba, Hitoshi, Maeda, Takahiro, Akashi, Koichi, and Baba, Eishi

Published
2022
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6. Surgical Data Science: A Consensus Perspective

Author

Maier-Hein, Lena, Eisenmann, Matthias, Feldmann, Carolin, Feussner, Hubertus, Forestier, Germain, Giannarou, Stamatia, Gibaud, Bernard, Hager, Gregory D., Hashizume, Makoto, Katic, Darko, Kenngott, Hannes, Kikinis, Ron, Kranzfelder, Michael, Malpani, Anand, März, Keno, Müuller-Stich, Beat, Navab, Nassir, Neumuth, Thomas, Padoy, Nicolas, Park, Adrian, Pugh, Carla, Schoch, Nicolai, Stoyanov, Danail, Taylor, Russell, Wagner, Martin, Vedula, S. Swaroop, Jannin*, Pierre, and Speidel*, Stefanie

Subjects
Computer Science - Computers and Society
Abstract

Surgical data science is a scientific discipline with the objective of improving the quality of interventional healthcare and its value through capturing, organization, analysis, and modeling of data. The goal of the 1st workshop on Surgical Data Science was to bring together researchers working on diverse topics in surgical data science in order to discuss existing challenges, potential standards and new research directions in the field. Inspired by current open space and think tank formats, it was organized in June 2016 in Heidelberg. While the first day of the workshop, which was dominated by interactive sessions, was open to the public, the second day was reserved for a board meeting on which the information gathered on the public day was processed by (1) discussing remaining open issues, (2) deriving a joint definition for surgical data science and (3) proposing potential strategies for advancing the field. This document summarizes the key findings., Comment: 29 pages

Published
2018

7. Guidelines for the diagnosis and treatment of idiopathic portal hypertension, extrahepatic portal obstruction, and Budd–Chiari syndrome in Japan.

Author

Furuichi, Yoshihiro, Kage, Masayoshi, Ohta, Masayuki, Ohfuji, Satoko, Sasaki, Hideyuki, Hidaka, Hisashi, Yoshida, Hiroshi, Kanto, Tatsuya, Kusano, Hironori, Akahoshi, Tomohiko, Obara, Katsutoshi, Hashizume, Makoto, Kuniyoshi, Yukio, Kawaguchi, Takumi, Okubo, Hironao, Ishikawa, Tsuyoshi, Hirooka, Masashi, Iwakiri, Yasuko, Nio, Masaki, and Tanaka, Atsushi

Subjects
PORTAL hypertension, HEMODYNAMICS, DIAGNOSIS, SYNDROMES, JURISDICTION
Abstract

This is the English version of the guidelines for the diagnosis and treatment of idiopathic portal hypertension, extrahepatic portal obstruction, and Budd–Chiari syndrome, which were established and revised in 2018 by the Aberrant Portal Hemodynamics Study Group under the jurisdiction of the Ministry of Health, Labor, and Welfare in Japan. These guidelines are excerpts, and the full version consists of 86 clinical questions and explanations, totaling 183 pages in Japanese. [ABSTRACT FROM AUTHOR]

Published
2024
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8. Surgical data science – from concepts toward clinical translation

Author

Maier-Hein, Lena, Eisenmann, Matthias, Sarikaya, Duygu, März, Keno, Collins, Toby, Malpani, Anand, Fallert, Johannes, Feussner, Hubertus, Giannarou, Stamatia, Mascagni, Pietro, Nakawala, Hirenkumar, Park, Adrian, Pugh, Carla, Stoyanov, Danail, Vedula, Swaroop S., Cleary, Kevin, Fichtinger, Gabor, Forestier, Germain, Gibaud, Bernard, Grantcharov, Teodor, Hashizume, Makoto, Heckmann-Nötzel, Doreen, Kenngott, Hannes G., Kikinis, Ron, Mündermann, Lars, Navab, Nassir, Onogur, Sinan, Roß, Tobias, Sznitman, Raphael, Taylor, Russell H., Tizabi, Minu D., Wagner, Martin, Hager, Gregory D., Neumuth, Thomas, Padoy, Nicolas, Collins, Justin, Gockel, Ines, Goedeke, Jan, Hashimoto, Daniel A., Joyeux, Luc, Lam, Kyle, Leff, Daniel R., Madani, Amin, Marcus, Hani J., Meireles, Ozanan, Seitel, Alexander, Teber, Dogu, Ückert, Frank, Müller-Stich, Beat P., Jannin, Pierre, and Speidel, Stefanie

Published
2022
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9. Surgical Data Science: Enabling Next-Generation Surgery

Author

Maier-Hein, Lena, Vedula, Swaroop, Speidel, Stefanie, Navab, Nassir, Kikinis, Ron, Park, Adrian, Eisenmann, Matthias, Feussner, Hubertus, Forestier, Germain, Giannarou, Stamatia, Hashizume, Makoto, Katic, Darko, Kenngott, Hannes, Kranzfelder, Michael, Malpani, Anand, März, Keno, Neumuth, Thomas, Padoy, Nicolas, Pugh, Carla, Schoch, Nicolai, Stoyanov, Danail, Taylor, Russell, Wagner, Martin, Hager, Gregory D., and Jannin, Pierre

Subjects
Computer Science - Computers and Society
Abstract

This paper introduces Surgical Data Science as an emerging scientific discipline. Key perspectives are based on discussions during an intensive two-day international interactive workshop that brought together leading researchers working in the related field of computer and robot assisted interventions. Our consensus opinion is that increasing access to large amounts of complex data, at scale, throughout the patient care process, complemented by advances in data science and machine learning techniques, has set the stage for a new generation of analytics that will support decision-making and quality improvement in interventional medicine. In this article, we provide a consensus definition for Surgical Data Science, identify associated challenges and opportunities and provide a roadmap for advancing the field., Comment: 10 pages, 2 figures, White paper corresponding to http://www.surgical-data-science.org/workshop2016

Published
2017
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14. Practice guidelines on endoscopic surgery for qualified surgeons by the Endoscopic Surgical Skill Qualification System: Pancreas.

Author

Nakata, Kohei, Ohtsuka, Takao, Nagakawa, Yuichi, Nakamura, Yoshiharu, Misawa, Takeyuki, Nagao, Yoshihiro, Akahoshi, Tomohiko, Hashizume, Makoto, and Nakamura, Masafumi

Subjects
PANCREATIC cancer, ENDOSCOPIC surgery, TUMOR surgery, LYMPHADENECTOMY, LAPAROSCOPIC surgery, PANCREATECTOMY, SURGICAL blood loss, PANCREATIC surgery, PANCREATIC fistula
Abstract

This document is a guideline on endoscopic surgery for qualified surgeons, specifically focusing on the pancreas. It provides a historical overview of laparoscopic pancreatectomy and discusses the insurance coverage for this procedure in Japan. The document also evaluates the use of laparoscopic distal pancreatectomy (LDP) and laparoscopic pancreatoduodenectomy (LPD) for pancreatic tumors, comparing them to open surgery. The guideline recommends LDP for benign or low-grade lesions and LPD for benign and low-grade tumors in facilities with experience in this surgery. However, further research is needed, particularly for LPD in pancreatic cancer. [Extracted from the article]

Published
2024
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18. Construction of a Generative Model of H&E Stained Pathology Images of Pancreas Tumors Conditioned by a Voxel Value of MRI Image

Author

Shimomura, Tomoshige, Mauricio, Kugler, Yokota, Tatsuya, Iwamoto, Chika, Ohuchida, Kenoki, Hashizume, Makoto, Hontani, Hidekata, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Stoyanov, Danail, editor, Taylor, Zeike, editor, Ciompi, Francesco, editor, Xu, Yanwu, editor, Martel, Anne, editor, Maier-Hein, Lena, editor, Rajpoot, Nasir, editor, van der Laak, Jeroen, editor, Veta, Mitko, editor, McKenna, Stephen, editor, Snead, David, editor, Trucco, Emanuele, editor, Garvin, Mona K., editor, Chen, Xin Jan, editor, and Bogunovic, Hrvoje, editor

Published
2018
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19. Accurate 3D Reconstruction of a Whole Pancreatic Cancer Tumor from Pathology Images with Different Stains

Author

Kugler, Mauricio, Goto, Yushi, Kawamura, Naoki, Kobayashi, Hirokazu, Yokota, Tatsuya, Iwamoto, Chika, Ohuchida, Kenoki, Hashizume, Makoto, Hontani, Hidekata, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Stoyanov, Danail, editor, Taylor, Zeike, editor, Ciompi, Francesco, editor, Xu, Yanwu, editor, Martel, Anne, editor, Maier-Hein, Lena, editor, Rajpoot, Nasir, editor, van der Laak, Jeroen, editor, Veta, Mitko, editor, McKenna, Stephen, editor, Snead, David, editor, Trucco, Emanuele, editor, Garvin, Mona K., editor, Chen, Xin Jan, editor, and Bogunovic, Hrvoje, editor

Published
2018
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25. Pancreatic stellate cells reorganize matrix components and lead pancreatic cancer invasion via the function of Endo180

Author

Koikawa, Kazuhiro, Ohuchida, Kenoki, Takesue, Shin, Ando, Yohei, Kibe, Shin, Nakayama, Hiromichi, Endo, Sho, Abe, Toshiya, Okumura, Takashi, Horioka, Kohei, Sada, Masafumi, Iwamoto, Chika, Moriyama, Taiki, Nakata, Kohei, Miyasaka, Yoshihiro, Ohuchida, Riichi, Manabe, Tatsuya, Ohtsuka, Takao, Nagai, Eishi, Mizumoto, Kazuhiro, Hashizume, Makoto, and Nakamura, Masafumi

Published
2018
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27. Autophagy Is Required for Activation of Pancreatic Stellate Cells, Associated With Pancreatic Cancer Progression and Promotes Growth of Pancreatic Tumors in Mice

Author

Endo, Sho, Nakata, Kohei, Ohuchida, Kenoki, Takesue, Shin, Nakayama, Hiromichi, Abe, Toshiya, Koikawa, Kazuhiro, Okumura, Takashi, Sada, Masafumi, Horioka, Kohei, Zheng, Biao, Mizuuchi, Yusuke, Iwamoto, Chika, Murata, Masaharu, Moriyama, Taiki, Miyasaka, Yoshihiro, Ohtsuka, Takao, Mizumoto, Kazuhiro, Oda, Yoshinao, Hashizume, Makoto, and Nakamura, Masafumi

Published
2017
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32. Augmented Reality Guidance with Electromagnetic Tracking for Transpyloric Tube Insertion

Author

Bano, Jordan, Akahoshi, Tomohiko, Nakadate, Ryu, Cho, Byunghyun, Hashizume, Makoto, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Zheng, Guoyan, editor, Liao, Hongen, editor, Jannin, Pierre, editor, Cattin, Philippe, editor, and Lee, Su-Lin, editor

Published
2016
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39. Development of 4D Human Body Model that Enables Deformation of Skin, Organ and Blood Vessel According to Dynamic Change

Author

Suzuki, Naoki, Hattori, Asaki, Hashizume, Makoto, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Linte, Cristian A, editor, Yaniv, Ziv, editor, and Fallavollita, Pascal, editor

Published
2015
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50. Design of a Novel Single Incision Laparoscopic Surgery Robot with Increased Tissue Handling Force

Author

Ji, DaeKeun, Cheon, Byungsik, Hashizume, Makoto, Tomikawa, Morimasa, Hong, Jaesung, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Lee, Jangmyung, editor, Lee, Min Cheol, editor, Liu, Honghai, editor, and Ryu, Jee-Hwan, editor

Published
2013
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