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Selecting Image-Guided Surgical Technologies in Oncology: A Surgeon's Perspective.
Lindenberg, Melanie; Retèl, Valesca; van Til, Janine; Kuhlmann, Koert; Ruers, Theo; van Harten, Wim.
Afiliación
  • Lindenberg M; Division of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek, Amsterdam, the Netherlands; Department of Health Technology and Services Research, University of Twente, Enschede, the Netherlands.
  • Retèl V; Division of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek, Amsterdam, the Netherlands; Department of Health Technology and Services Research, University of Twente, Enschede, the Netherlands.
  • van Til J; Department of Health Technology and Services Research, University of Twente, Enschede, the Netherlands.
  • Kuhlmann K; Division of Surgical Oncology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek, Amsterdam, the Netherlands.
  • Ruers T; Division of Surgical Oncology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek, Amsterdam, the Netherlands.
  • van Harten W; Division of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek, Amsterdam, the Netherlands; Department of Health Technology and Services Research, University of Twente, Enschede, the Netherlands. Electronic address: w.v.harten@nki.nl.
J Surg Res ; 257: 333-343, 2021 01.
Article en En | MEDLINE | ID: mdl-32892128
ABSTRACT

BACKGROUND:

To improve surgical performance, image-guided (IG) technologies are increasingly introduced. Yet, it is unknown which oncological procedures yield most value from these technologies. This study aimed to select the most promising IG technology per oncologic indication.

METHODS:

An Analytic Hierarchical Process was used to evaluate three IG technologies navigation, optical imaging, and augmented reality, in five oncologic indications compared with usual care. Sixteen decision criteria were selected. The relative importance of the criteria and the expected performance of the technologies were evaluated among surgeons. The combination of these scores gives the expected value per technology.

RESULTS:

On criteria level, sparing critical tissue (9%-18%) and reducing the risk of local recurrence (11%-27%) were most important. Navigation was preferred in three indications-removal of lymph nodes (42%), liver (47%), and rectal tumors (33%). In removing rectal tumors, optical imaging was equally preferred (34%). In removing breast and tongue tumors, no technology was clearly preferred.

CONCLUSIONS:

In selecting IG technologies, especially optical and navigation technologies are expected to add value in addition to usual care. Further development of those technologies for the preferred indications seems valuable. Multi-attribute analysis showed to be useful in prioritization of conducting clinical studies and steer research and development initiatives.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Cirugía Asistida por Computador / Proceso de Jerarquía Analítica / Neoplasias Tipo de estudio: Health_technology_assessment / Prognostic_studies Límite: Humans Idioma: En Revista: J Surg Res Año: 2021 Tipo del documento: Article País de afiliación: Países Bajos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Cirugía Asistida por Computador / Proceso de Jerarquía Analítica / Neoplasias Tipo de estudio: Health_technology_assessment / Prognostic_studies Límite: Humans Idioma: En Revista: J Surg Res Año: 2021 Tipo del documento: Article País de afiliación: Países Bajos