Image-guided Minimally Invasive Robotic Surgery Using Preoperative CT Scan for Gastric Cancer Patients
NCT ID: NCT01338948
Last Updated: 2011-04-20
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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COMPLETED
PHASE1/PHASE2
12 participants
INTERVENTIONAL
2009-08-31
2009-12-31
Brief Summary
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Detailed Description
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Diagnosis of early stage gastric cancer -\> CT scanning \& EUS for staging -\> (Registration) -\> Robotic surgery with image reconstruction -\> Conversion rate, Tumor location \& vascular anatomy correlation.
Conditions
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Study Design
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NA
SINGLE_GROUP
TREATMENT
Interventions
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preoperative 3D-CT reconstruction
Robotic Surgery with CT reconstruction images using Tile-pro program.
Eligibility Criteria
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Inclusion Criteria
* Histologically confirmed gastric adenocarcinoma
* Patients who want robotic gastric cancer surgery
* Preoperative clinical stage Stage I (T1N0, T1N1, T2N0) diagnosed with EGD, EUS \& CT scan
* No history of drug allergy
* creatinine \< 1.5 X upper normal limit
* Informed consent
Exclusion Criteria
* Patient refused the study
20 Years
ALL
No
Sponsors
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Yonsei University
OTHER
Responsible Party
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Department of Surgery, Yonsei University College of Medicine
Locations
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Severance Hospital
Seoul, , South Korea
Countries
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References
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Matsuki M, Kanazawa S, Kanamoto T, Inada Y, Kani H, Tanikake M, Yoshikawa S, Narabayashi I, Tatsumi Y, Nishimura H, Lee SW, Nomura E, Okuda J, Tanigawa N. Virtual CT gastrectomy by three-dimensional imaging using multidetector-row CT for laparoscopic gastrectomy. Abdom Imaging. 2006 May-Jun;31(3):268-76. doi: 10.1007/s00261-005-0360-2. No abstract available.
Kim YM, Baek SE, Lim JS, Hyung WJ. Clinical application of image-enhanced minimally invasive robotic surgery for gastric cancer: a prospective observational study. J Gastrointest Surg. 2013 Feb;17(2):304-12. doi: 10.1007/s11605-012-2094-0. Epub 2012 Dec 1.
Other Identifiers
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4-2009-0291
Identifier Type: -
Identifier Source: org_study_id
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