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Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT04946591
Other study ID # 26/21
Secondary ID
Status Recruiting
Phase
First received
Last updated
Start date August 1, 2021
Est. completion date June 1, 2024

Study information

Verified date October 2023
Source Klinikum Saarbrücken, Klinik für Allgemein-, Viszeral- und Thoraxchirurgie, Chirurgische Onkologie
Contact Gregor A. Stavrou, MD
Phone 0049681963 2441
Email gstavrou@klinikum-saarbruecken.de
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

Achievement of tumor-free resection margin with the largest possible remnant liver parenchyma is the major challenge in hepatic surgery. Therefore, perioperative tumor detection, anatomical mapping of liver segments and also nearby structures are vital to improve the short- and long-term surgical outcomes. Over last decades, several real-time methods have been introduced for this purpose. These methods are mostly based on the utilizing of traceable dyes, which are excreted into the biliary tract. With the advances in minimal invasive surgery and video technology, indocyanine green became the most used dye in this manner. It has been demonstrated that using indocyanine green, small liver tumors can be detected, which cannot be identified using conventional intraoperative methods. Based on the literature, the reported sensitivity of tumor detection using indocyanine green is ranging between 98%-100%, while conventional methods could not reach 90% sensitivity. Posthepatectomy bile leakage, as well as in- or outflow distributions due to the potential vascular reconstructions, are some of the most common complications that can occur especially after complex liver surgeries. Beside the abovementioned advantages of indocyanine green, several researchers have also shown the feasibility of indocyanine green to identify the intraoperative bile leaks and any in- or outflow distributions. Nevertheless, laparoscopic assisted liver surgery is technically challenging, mostly because of the restricted degrees of instrument movements, camera instability, and loss of depth perception. In particular, the loss of depth perception and inaccurate object localization can lead to intraoperative complications and a long learning curve. Advances in video technology, namely 4K ultra-high-definition imaging have been developed to reduce perioperative complications and to shorten the learning curve during laparoscopic liver surgery. This is the first prospective study evaluating the impact of indocyanine green imaging during 4K laparoscopic liver surgery on real-time tumor detection and surgical outcomes.


Recruitment information / eligibility

Status Recruiting
Enrollment 50
Est. completion date June 1, 2024
Est. primary completion date April 1, 2024
Accepts healthy volunteers
Gender All
Age group 18 Years and older
Eligibility Inclusion Criteria: - Patient consent - Aged above 18 years - Undergoing any type of liver resections Exclusion Criteria: - Unresectable liver tumors - Known indocyanine green allergy - Iodine allergy - Advanced cirrhosis (Child C)

Study Design


Related Conditions & MeSH terms


Locations

Country Name City State
Germany Klinikum Saarbrücken Saarbrücken Saarland

Sponsors (1)

Lead Sponsor Collaborator
Klinikum Saarbrücken, Klinik für Allgemein-, Viszeral- und Thoraxchirurgie, Chirurgische Onkologie

Country where clinical trial is conducted

Germany, 

Outcome

Type Measure Description Time frame Safety issue
Primary Tumor localization One day
Secondary Remnant liver venous drainage One day
Secondary Detection of resection plane One day
Secondary Rate of intraoperative bile leak Using indocyanine green and fluorescence camera One day
Secondary Rate of postoperative bile leak Based on the ISGLS criteria Three months
Secondary Resection margin Using fluorescence camera One day
Secondary Rate of morbidity Based on the Clavien-Dindo classification Three months
Secondary Duration of hospital stay Three months
Secondary Rate of mortality All cause death events Three months
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