Fluorescence Image-Guided Lymphadenectomy in Robotic Gastrectomy
NCT ID: NCT03931044
Last Updated: 2019-04-29
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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UNKNOWN
NA
40 participants
INTERVENTIONAL
2019-04-30
2020-06-30
Brief Summary
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The general design of the present study is to evaluate the role of fluorescence imaging during robotic lymphadenectomy for gastric cancer.
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Detailed Description
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In this field, robotic surgery has been becoming of great interest thanks to the manufacturing of new instruments which, compared to laparoscopy, allow to improve manual skills and gentleness in challenging movements \[12\]. The Da Vinci Xi robotic system has also produced an innovative imaging technology for ICG visualization made up with a laser source integrated in the robotic camera (Firefly). The surgeon at the console has therefore a 3-D vision that can switch to the fluorescence mode without the need to change the camera. Few clinical experiences have been reported to date \[12\]. Published articles refer to assistance in colo-rectal and hepato-biliary surgery for vessels or biliary structures visualization, while its use during lymph node dissection for gastric cancer has not yet been the subject of study protocols.
Hypothesis: fluorescence imaging during lymphadenectomy in gastric cancer can significantly improve the quality of the dissection through a better visualization of anatomical planes and allow tailored dissections. Moreover, the tumor status in the fluorescent nodes could predict the nodes status in the overall specimen with high accuracy rate.
Methods General study design: the overall objective is verifying the feasibility and the role of a lymphadenectomy assisted by fluorescence imaging during robotic gastrectomy.
Two levels of investigation are planned:
* to detect the possible advantages of a fluorescence-guided surgery ("Navigation Surgery");
* to evaluate the possibility of considering the lymph nodes labeled by the ICG as predictive of the state of tumor diffusion ("Targeted Surgery") Type of study: Interventional study.
Specific aims:
1. To verify the ability of the procedure to highlight the main tumor lymphatic drainage pathways.
2. To validate the concept of Navigation Surgery in gastric surgery by comparing the group of the experimental procedure with a control group undergoing the same type of surgery but not assisted by fluorescence.
3. To find a correlation between the nodes marked by the ICG and the remaining nodes removed during the procedure.
4. To identify the characteristics of those patients in whom the ICG can effectively discriminate the type of lymphadenectomy to be performed.
Data collection: the following information will be collected for each patient.
\- General variables: demographic, histopathological, intra and post-operative features, complications. - Specific variables: total number of lymph nodes retrieved (LNs), Fluorescent lymph nodes (FLNs), metastatic LNs, LNs by station, FLNs outside the standard dissection plane, FLNs status (positive or negative for tumor), non-fluorescent LNs status
Definitions and subdivision of patients:
* True positive patients: patients in which FLNs positive for tumor are detected when LNs positive for tumor are found in the analysis of the surgical specimen.
* False positive patients: patients in which FLNs positive for tumor are detected when LNs negative for tumor are found in the analysis of the surgical specimen.
* True negative patients: patients in which FLNs negative for tumor are detected when LNs negative for tumor are found in the analysis of the surgical specimen.
* False negative patients: patients in which FLNs negative for tumor are detected when LNs positive for tumor are found in the analysis of the surgical specimen.
Sample size: considering the volume of patients included in published studies available in the literature on the use of fluorescence imaging and adding that the present project is the first to describe the use of robotic technology with fluorescence assistance in gastric cancer, a total of 20 patients will be enrolled for the experimental procedure. An additional sample including 20 patients will be the control group, based on the same eligibility criteria. The total sample of patients planned for the present study is therefore of 40 subjects.
Statistical analysis: SPSS v23 will be used to perform data analysis. The dichotomous variables will be expressed as numbers and percentages, while the continuous variables as mean and standard deviation, or median and IQR (minimum and maximum values). For the comparison with the control group, the continuous variables will be analyzed with the T test for independent samples and a value of P \<0.05 will be considered statistically significant.
Impact on clinical practice and healthcare system: this project can pave the way for a new concept of lymphadenectomy in gastric cancer involving minimally invasive surgery. Patients could benefit from a more tailored approach to their disease.
Conditions
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Study Design
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NON_RANDOMIZED
PARALLEL
TREATMENT
NONE
Study Groups
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Image-Guided Robotic Gastrectomy
The day before surgery, the ICG will be injected endoscopically into the submucosa of the four quadrants around the tumor (1.25mg/mL, 0.6mL x 4).
A modified total D2 gastrectomy - including the following lymph node stations: 1 - 7 + 8a, 9, 11p, 12a - will be performed in each patient.
The lymph node dissection will be performed using the Da Vinci Xi robotic system and the assistance of the near infrared technology to detect ICG fluorescence.
Even the resulting fluorescent lymph nodes outside the standard dissection plane will be retrieved. The lymph node stations will be sent to the pathologist in different containers and further subdivided according to fluorescence.
Image-Guided Robotic Gastrectomy
The near-infrared technology, integrated in the robotic camera, will be used to detect fluorescent lymphonodes.
Robotic Gastrectomy
Data from patients undergoing the same surgery without the ICG imaging procedure will be collected during the same study period.
No interventions assigned to this group
Interventions
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Image-Guided Robotic Gastrectomy
The near-infrared technology, integrated in the robotic camera, will be used to detect fluorescent lymphonodes.
Eligibility Criteria
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Inclusion Criteria
* cT1 - cT3
* cN0
Exclusion Criteria
* pregnancy
* cT4,
* cN +
* distant metastases
* estimated sizes \> 4cm
* synchronous malignant tumors in other organs
* ASA score ≥ 4
ALL
No
Sponsors
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International Study Group on Minimally Invasive Surgery for Gastric Cancer
OTHER
Responsible Party
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Amilcare Parisi
Director of the Department of Digestive Surgery - St. Mary's Hospital of Terni
Locations
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Ospedale di Forlì "G.B. Morgagni" - AUSL della Romagna - U.O.C. di Chirurgia e Terapie Oncologiche Avanzate
Forlì, , Italy
Azienda Ospedaliera di Terni "Santa Maria" - S.C. di Chirurgia Digestiva
Terni, , Italy
Countries
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Central Contacts
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Facility Contacts
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References
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Japanese Gastric Cancer Association. Japanese gastric cancer treatment guidelines 2014 (ver. 4). Gastric Cancer. 2017 Jan;20(1):1-19. doi: 10.1007/s10120-016-0622-4. Epub 2016 Jun 24. No abstract available.
Kitagawa Y, Fujii H, Mukai M, Kubota T, Otani Y, Kitajima M. Radio-guided sentinel node detection for gastric cancer. Br J Surg. 2002 May;89(5):604-8. doi: 10.1046/j.1365-2168.2002.02065.x.
Yoshida M, Kubota K, Kuroda J, Ohta K, Nakamura T, Saito J, Kobayashi M, Sato T, Beck Y, Kitagawa Y, Kitajima M. Indocyanine green injection for detecting sentinel nodes using color fluorescence camera in the laparoscopy-assisted gastrectomy. J Gastroenterol Hepatol. 2012 Apr;27 Suppl 3:29-33. doi: 10.1111/j.1440-1746.2012.07067.x.
Bu L, Shen B, Cheng Z. Fluorescent imaging of cancerous tissues for targeted surgery. Adv Drug Deliv Rev. 2014 Sep 30;76:21-38. doi: 10.1016/j.addr.2014.07.008. Epub 2014 Jul 24.
Marano A, Priora F, Lenti LM, Ravazzoni F, Quarati R, Spinoglio G. Application of fluorescence in robotic general surgery: review of the literature and state of the art. World J Surg. 2013 Dec;37(12):2800-11. doi: 10.1007/s00268-013-2066-x.
Kitagawa Y, Takeuchi H, Takagi Y, Natsugoe S, Terashima M, Murakami N, Fujimura T, Tsujimoto H, Hayashi H, Yoshimizu N, Takagane A, Mohri Y, Nabeshima K, Uenosono Y, Kinami S, Sakamoto J, Morita S, Aikou T, Miwa K, Kitajima M. Sentinel node mapping for gastric cancer: a prospective multicenter trial in Japan. J Clin Oncol. 2013 Oct 10;31(29):3704-10. doi: 10.1200/JCO.2013.50.3789. Epub 2013 Sep 9.
Kitagawa Y, Fujii H, Kumai K, Kubota T, Otani Y, Saikawa Y, Yoshida M, Kubo A, Kitajima M. Recent advances in sentinel node navigation for gastric cancer: a paradigm shift of surgical management. J Surg Oncol. 2005 Jun 1;90(3):147-51; discussion 151-2. doi: 10.1002/jso.20220.
Tani T, Sonoda H, Tani M. Sentinel lymph node navigation surgery for gastric cancer: Does it really benefit the patient? World J Gastroenterol. 2016 Mar 14;22(10):2894-9. doi: 10.3748/wjg.v22.i10.2894.
Vahrmeijer AL, Hutteman M, van der Vorst JR, van de Velde CJ, Frangioni JV. Image-guided cancer surgery using near-infrared fluorescence. Nat Rev Clin Oncol. 2013 Sep;10(9):507-18. doi: 10.1038/nrclinonc.2013.123. Epub 2013 Jul 23.
Bray F, Jemal A, Grey N, Ferlay J, Forman D. Global cancer transitions according to the Human Development Index (2008-2030): a population-based study. Lancet Oncol. 2012 Aug;13(8):790-801. doi: 10.1016/S1470-2045(12)70211-5. Epub 2012 Jun 1.
Hartgrink HH, Jansen EP, van Grieken NC, van de Velde CJ. Gastric cancer. Lancet. 2009 Aug 8;374(9688):477-90. doi: 10.1016/S0140-6736(09)60617-6. Epub 2009 Jul 20.
Sasako M, McCulloch P, Kinoshita T, Maruyama K. New method to evaluate the therapeutic value of lymph node dissection for gastric cancer. Br J Surg. 1995 Mar;82(3):346-51. doi: 10.1002/bjs.1800820321.
Other Identifiers
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IG-MIG Vers. 1.0-05.03.2019
Identifier Type: -
Identifier Source: org_study_id
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