Computer Navigation-assisted Surgery for Locally Advanced and Recurrent Rectal Cancer
NCT ID: NCT04512937
Last Updated: 2022-11-14
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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ACTIVE_NOT_RECRUITING
NA
20 participants
INTERVENTIONAL
2020-09-01
2027-09-01
Brief Summary
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Detailed Description
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Computer navigation-assisted surgery has typically been implemented where extreme surgical precision is necessary or in surgical fields with high anatomic complexity. In such settings, it contributes to preservation of vital anatomic structures close to the tumour, and ensures completeness of resection in cases of malignant disease.
With this in mind, feasibility of navigation in surgically challenging rectal cancer cases will be investigated in this study. If found feasible, navigation could improve surgical management for patients who otherwise would not have the possibility of cure.
Conditions
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Study Design
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NA
SINGLE_GROUP
TREATMENT
NONE
Study Groups
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All patients
All patients will be subjects to the intervention of computer navigation-assisted surgery
Computer-assisted navigation surgery
Computer navigation-assisted surgery has two main elements; the pre-procedural planning to create accurate 3D images of the pelvis allowing the surgical team to achieve an accurate perception of the operative field, and intraoperative navigation where these images are used for anatomical guidance to enhance surgical precision. Accordingly, computer software is used in this study to outline the tumour and other pelvic organs on pre-operative images which are subsequently used for intraoperative navigation.
Interventions
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Computer-assisted navigation surgery
Computer navigation-assisted surgery has two main elements; the pre-procedural planning to create accurate 3D images of the pelvis allowing the surgical team to achieve an accurate perception of the operative field, and intraoperative navigation where these images are used for anatomical guidance to enhance surgical precision. Accordingly, computer software is used in this study to outline the tumour and other pelvic organs on pre-operative images which are subsequently used for intraoperative navigation.
Eligibility Criteria
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Inclusion Criteria
* The MDT must deem standard surgical strategy at high risk of resulting in R1/R2 resection and computer-assisted navigation likely to improve the chances of obtaining R0 resection.
* Written informed consent
Exclusion Criteria
* Unresectable distant metastatic disease or unresectable synchronous other malignancy
* Patients deemed unfit to participation according to the MDT.
18 Years
ALL
No
Sponsors
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Oslo University Hospital
OTHER
Responsible Party
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Kjersti Flatmark
Professor
Principal Investigators
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Kjersti Flatmark, Professor
Role: PRINCIPAL_INVESTIGATOR
Oslo University Hospital
Locations
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Oslo University Hospital- The Norwegian Radium Hospital
Oslo, , Norway
Countries
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Other Identifiers
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2020/123753
Identifier Type: -
Identifier Source: org_study_id
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