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Introducing navigation during melanoma-related sentinel lymph node procedures in the head-and-neck region

Overview of attention for article published in EJNMMI Research, August 2017
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Title
Introducing navigation during melanoma-related sentinel lymph node procedures in the head-and-neck region
Published in
EJNMMI Research, August 2017
DOI 10.1186/s13550-017-0312-1
Pubmed ID
Authors

Gijs H. KleinJan, Baris Karakullukçu, W. Martin C. Klop, Thijs Engelen, Nynke S. van den Berg, Fijs W. B. van Leeuwen

Abstract

Intraoperative sentinel node (SN) identification in patients with head-and-neck malignancies can be challenging due to unexpected drainage patterns and anatomical complexity. Here, intraoperative navigation-based guidance technologies may provide outcome. In this study, gamma camera-based freehandSPECT was evaluated in combination with the hybrid tracer ICG-(99m)Tc-nanocolloid. Eight patients with melanoma located in the head-and-neck area were included. Indocyanine green (ICG)-(99m)Tc-nanocolloid was injected preoperatively, whereafter lymphoscintigraphy and SPECT/CT imaging were performed in order to define the location of the SN(s). FreehandSPECT scans were generated in the operation room using a portable gamma camera. For lesion localization during surgery, freehandSPECT scans were projected in an augmented reality video-view that was used to spatially position a gamma-ray detection probe. Intraoperative fluorescence imaging was used to confirm the accuracy of the navigation-based approach and identify the exact location of the SNs. Preoperatively, 15 SNs were identified, of which 14 were identified using freehandSPECT. Navigation towards these nodes using the freehandSPECT approach was successful in 13 nodes. Fluorescence imaging provided optical confirmation of the navigation accuracy in all patients. In addition, fluorescence imaging allowed for the identification of (clustered) SNs that could not be identified based on navigation alone. The use of gamma camera-based freehandSPECT aids intraoperative lesion identification and, with that, supports the transition from pre- to intraoperative imaging via augmented reality display and directional guidance.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 11 22%
Student > Ph. D. Student 8 16%
Researcher 7 14%
Student > Master 6 12%
Lecturer 3 6%
Other 4 8%
Unknown 10 20%
Readers by discipline Count As %
Medicine and Dentistry 18 37%
Engineering 6 12%
Computer Science 5 10%
Biochemistry, Genetics and Molecular Biology 1 2%
Psychology 1 2%
Other 6 12%
Unknown 12 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 August 2017.
All research outputs
#20,444,703
of 22,999,744 outputs
Outputs from EJNMMI Research
#393
of 564 outputs
Outputs of similar age
#278,249
of 318,832 outputs
Outputs of similar age from EJNMMI Research
#10
of 14 outputs
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So far Altmetric has tracked 564 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.