Surgery and Interventional Procedures

  • About the area
  • Groups
  • Mixed Unit

The area of ​​research in surgery and interventional procedures brings together professionals from different fields and disciplines who carry out their scientific activity with the aim of generating knowledge of clinical application and generating technological innovations that improve healthcare practice.

Research groups in the area promote the application of new technologies, such as 3D printing or artificial intelligence, for the advancement of knowledge in the field and to generate innovations that can have an impact on better patient care. . We highlight the two technological laboratories created from the knowledge of the groups: 3D laboratories i medical imaging laboratory, both leading impact projects at the NHS in collaboration with other groups at the institute.

The area maintains active collaborations with other research centers, technology centers and companies, thus allowing the generation of multidisciplinary teams and enhancing the transfer of results.

Area coordination
Salvador Navarro Soto

snavarro@tauli.cat

Group A9G1 - Locomotor System Research Group

Accreditation level: Associated group

The Locomotor System Research Group is a multidisciplinary research group made up of TOC, rehabilitation and physiotherapy professionals, and biomedical engineers. Our research focuses on the study of procedures, materials and treatments of musculoskeletal pathology, and on the application of 3D technology in planning and intervention.

Lines of research

  • Innovation and 3D technology: Research in anatomical models and surgical guides with 3D printing technology.
  • Trauma: Research focused on improving the quality of traumatic pathology procedures.
  • Orthopedics: Research focused on improving elective orthopedic surgery procedures.

Composition of the group

Xavier Pelfort López (Group leader) | ORCID

Doctoral research staff

  • Carballo García, Alejandro
  • Son Gomà, Ferran
  • Gili Cirera, Gabriel
  • Marcano Fernández, Francesc
  • Martí Garin, David
  • Miquel Noguera, Joan
  • Villalba Modol, Jordi
  • Yuguero Rodríguez, Mariano

Predoctoral

  • Acerboni Flores, Francesc
  • Cámara Cabrera, Jaume
  • Freijo Gutierrez, Valentin
  • García Rodríguez, Ramona
  • Pellejero García, Raúl
  • Yela Verdú, Christian

Non-doctoral research staff

  • Anglada Torres, Neus
  • Gimeno Calavia, Nuria
  • González Vargas, José Antonio
  • Martinez Grau, Patricia
  • Murias Alvarez, Joan
  • Ramon Solé, Jordi
  • Ros Munné, Vanesa
  • Salomó Domènech, Mònica
  • Sanchez Fernández, Joel
  • Serrano Sanz, Jorge

Support professionals

  • Coderch Navarro, Sergi
  • Martínez Carreres, Laia

Associated professionals

  • Alavedra Massana, Anna
  • Amestoy Ramos, Jorge
  • Andriola, Vito
  • Berenguer Sánchez, Alexandre
  • Blasco Moreu, Jorge
  • Well Ruiz, Mercedes
  • Caparros García, Ariadna
  • Costa Ventura, Helena
  • Fernández Poch, Núria
  • Fuentes López, Ruben
  • Galdina Valls, Pilar
  • Gasset Teixidor, Alfons
  • Girvent Montllor, Francesc
  • González Riveiro, Maribel
  • Graells Alonso, Guillem
  • Harb Peralta, Jean Pierre
  • Julian Castro, Guadalupe
  • López Bonet, Angels
  • López Góngora, Sheila
  • Maciejczyk Boix, Pablo
  • Maldonado Sotoca, Yeray
  • Martínez Álvarez, Marta
  • Martinez Sañudo, Luis
  • Molina Corbacho, Matilde
  • Navarro Oliver, Claudia
  • Peñalver Matamoros, Juan Manuel
  • Alonso Bridge, Carlos
  • Ráfols Perramon, Ona
  • Ricol Lainez, Laura
  • Rododera Puigdemasa, Josep
  • Roqueta Andreu, Lídia
  • Sacristan Prat, Mariona
  • Sánchez Flo, Ricard
  • Sánchez Palomino, María Estrella
  • Simó Sánchez Isabel
  • Soler Cano, Albert
  • Velasco Barrera, Aldo
  • Verdaguer Figuerola, Arnau

Group A9G2 - Polytrauma and transfusion medicine

Accreditation level: Popup group

Polytrauma is the leading cause of death and associated morbidity between the first year of life and 44 years of age.

Our research aims to focus on each of the phases of the treatment of surgical patients, both from prehospital medicine, hospital treatment and subsequently the social study of the repercussions, as well as the possibilities of avoiding the recidivism.
It is a highly technological area in which technologies such as 3D, ICT, Artificial Intelligence, Machine Learning, image reconstruction and processing algorithms, etc. are present. with impact projects and innovative results in new medical technologies.
The different research groups that make up this Area have multidisciplinary teams with very varied disciplines such as computer engineers, bioengineers, physicists, biologists, health personnel.

Lines of research

  • Diagnosis and treatment of polytrauma patients
  • Study of blood derivatives and fluids in the care of polytraumatized patients

Composition of the group

Salvador Navarro Soto (Group leader) | ORCID

Predoctoral

  • Campos Serra, Andrea

Non-doctoral research staff

  • Alegret Monroig, Nuria
  • Baena Olomi, Irene
  • Martinez López, Fernando

Associated professionals

  • Guitart Giménez, Josep
  • Renter Valdovinos, Lluis
  • Subirana Bofill, Rita

Group A9G3 - Research in colorectal surgery

Accreditation level: In the consolidation phase

Our Colorectal Surgery research group focuses on minimally invasive colorectal surgery. It consists of six members and three external ones. Our development lines are mainly based on:

  • Transanal endoscopic surgery. Developing a prospective and randomized multicenter study on the possibility of performing local adjuvant surgery in T2-3s, N0, M0 stage rectal cancer.
  • Minimally invasive surgery in large colon adenomas, using CELS (Combined Endoscopic Laparoscopic Surgery) technique.
  • We start the Outpatient Colectomies program.
  • Study on the possibility of treatment of diverticulitis on an outpatient basis with anti-inflammatory treatment, in stages O. Prospective and randomized multicenter study.
  • Development of the study of objectification of intestinal vascularization using indocyanine green through the SERGREEN Program.
  • Other lines in development: oncofragile patient, rectal cancer dissection techniques with the aim of improving genitourinary function.

Lines of research

  • Transanal endoscopic surgery. Developing a prospective and randomized multicetric study on the possibility of using local adjuvant surgery in T2-3s, N0, M0 stage rectal cancer
  • Study on the possibility of treatment of diverticulitis on an outpatient basis with treatment with anti-inflammatory drugs, in stages O. Prospective and randomized multicenter study
  • Development of the study of objectification of intestinal vascularization using indocyanine green through the SERGREEN Program.

Composition of the group

Xavier Serra Aracil (Group leader) | ORCID

Doctoral research staff

  • Garcia Nalda, Albert
  • Mora López, Laura
  • Pallisera Lloveras, Anna
  • Serra Pla, Sheila
  • Serracant Barrera , Anna

Predoctoral

  • Badia Closa, Jesus
  • Hidalgo Rosas, Jose Manuel
  • Montes Ortega, Naomi
  • Easter Sun, Mireia
  • Zarate Pinedo, Alba

Non-doctoral research staff

  • Alegret Monroig, Núria
  • Baena Olomi, Irene
  • Martinez López, Fernando

Group A9G4 - Clinical, interventional and computational nephrology (CICN)

Accreditation level: Associated group

The CICN is a research and innovation group that brings together professionals from different fields who carry out their activity in the area of ​​renal pathology. Its activity includes several lines covering clinical nephrology, renal interventionism and the development of computer and artificial intelligence systems.

It is made up of professionals from different fields to develop translational research and innovation in patients with kidney disease and hemodialysis. The aim covers on the one hand the study of the pathophysiology and biomarkers in inflammation, immunity and infection in the renal patient, as well as in the development of kidney diseases. On the other hand, it generates the framework for the development of healthcare processes, research and innovation in the field of vascular access by hemodialysis.

The transversal nature of the group, which includes professionals from various specialties and profiles in medicine and biomedical engineering, allows the generation of translational projects that cover the generation of projects that translate into clinical care, teaching and research, and of innovation. The team is made up of specialists in nephrology, vascular surgery, interventional radiology, nursing and biomedical engineers in a framework of collaboration with the School of Engineering of the Autonomous University of Barcelona and the University of North Carolina (USA). In this framework of collaboration with the School of Engineering of the Autonomous University of Barcelona, ​​the Master in Artificial Intelligence and Big Data in Health. In this framework of collaboration with the School of Engineering of the Autonomous University of Barcelona, ​​the Master's in Artificial Intelligence and Big Data in Health has been generated. On the other hand, within the framework of the Erasmus + Program of the European Commission, it is part of the NEPHROPATH Interventional Nephrology training program.

Lines of research

  • Vascular access by hemodialysis: inflammation, infection, ultrasound, hemodynamics, sentence predictive models, ButtonHole technique, pathophysiology of intimal hyperplasia, therapeutic models and Artificial Intelligence.
  • Pathophysiology of glomerular diseases.
  • Biomarkers of infection in uremia.
  • Immunity to uremia.
  • Predictive models and Clinical Decision Support Systems (CDSS) based on Artificial Intelligence and Data Mining for the management of patients with chronic renal failure and hemodialysis.

Composition of the group

José Ibeas López (Group leader) | ORCID

Doctoral research staff

  • Merino Raldua, Jana

Predoctoral

  • Garcia Agreda, Daniela
  • Navazo Santamaria, Diego
  • Vallespín Aguado, Joaquim

Non-doctoral research staff

  • Comanges Yéboles, Alejandra

Support professionals

  • Monill Raya, Núria

Associated professionals

  • Raised Paredes, Eva
  • Rubiella Rubio, Carolina
  • Teixidor Viñas, Mireia
  • Vidal Borrego, Marta

Outstanding projects

    

  • Anais Medical: Simulation methods for performing invasive procedures in the renal patient.
  • Nephrocloud: Software for the clinical management of vascular access by hemodialysis.

Group A9G5 - GIAMed: Artificial Intelligence applied to Medical Imaging

Accreditation level: Pendent

The GIAMed group is created in order to provide the hospital with a research and advice unit on the application of artificial intelligence in medical imaging. Research is essential in order to keep the hospital at the forefront, especially when disruptive technology such as artificial intelligence is introduced.
The research topics of this group include all that research to support medical diagnosis through artificial intelligence algorithms, such as the development of reconstruction algorithms, image processing, visualization tools or innovative tissue segmentation.

GIAMed is made up of a multidisciplinary team (Engineers, Physicists and Healthcare Staff) and has a strong collaboration with other artificial intelligence research groups at Catalan universities (BCN-AIM, VICOROB). GIAMed aims to become a benchmark in the CSPT in research related to artificial intelligence.

Lines of research

  • Creation of algorithms for the processing of Medipix3 photon counting data, in the implementation of the chip in a prototype of a breast biopsy guided by Tomosynthesis. Such as digital corrections of chip misalignment or pixel interpolation in non-operational areas.
  • Development of a user interface for the segmentation of breast tissue using multiple techniques (tresholding, watershed or deeplearning) and its subsequent conversion into a printable format.
  • Development of the RAIM CLOUD solution and implementation in the Catalan healthcare system, a world reference in solutions for the shared history between hospitals.
  • Research in the early detection of lung cancer using the deeplearning algorithm developed by Eurecat for the detection of nodules in chest plates.
  • Research in the detection of SARS-CoV-2 (COVID-19) through the deeplearning algorithm developed by VICOROB for chest plate analysis.
  • Research into the usefulness of artificial intelligence systems as a complement to conventional chest radiological reading in order to be able to report most studies. The research is carried out using the artificial intelligence solution INFERVISION.
  • Development of a tool for the sharing of medical history between European institutions.
  • Development of an artificial intelligence tool to support the diagnosis and treatment of cancer.

Composition of the group

Josep Fernández Bayó (Group leader)

Doctoral research staff

  • Granell Moreno, Esther
  • Perendreu Sans, Joan

Predoctoral

  • Malet Planas, Albert

Non-doctoral research staff

  • Blanch Molina, Alexandre

Support professionals

  • Abellán Almenara, Neus
  • Arroyo Arroyo, Sergio
  • Borrell Avila, Francesc
  • López García, Álex
  • Ribas Mercau, Diego Ignacio
  • Valls Obea, Josep

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