Validation of the Sentinel Lymph Node Biopsy Technique in Head and Neck Cancers of the Oral Cavity

2013 ◽  
Vol 79 (12) ◽  
pp. 1295-1297 ◽  
Author(s):  
Pejman Radkani ◽  
Thomas W. Mesko ◽  
Juan C. Paramo

The purpose of this study was to present our experience and validate the use of sentinel lymph node (SLN) mapping in patients with head and neck cancers. A retrospective review of a pro-spectively collected database of patients with a diagnosis of squamous cell carcinomas of the head and neck from 2008 to 2011 was done. The group consisted of a total of 20 patients. The first node(s) highlighted with blue, or identified as radioactive by Tc99-sulfur radioactive colloid, was (were) identified as the SLNs. In the first seven patients, formal modified neck dissection was performed. In the remaining 13 patients, only a SLN biopsy procedure was done. At least one SLN was identified in all 20 patients (100%). Only one patient (5%) had positive nodes. In this case, the SLN was also positive. In the remaining 19 cases, all lymph nodes were negative. After an average of 24 months of follow-up, there have been three local recurrences (15%) but no evidence of distant metastatic disease. SLN mapping in head and neck cancers is a feasible technique with a high identification rate and a low false-negative rate. Although the detection rate of regional metastatic disease compares favorably with published data as well as the disease-free and overall survival, further studies are warranted before considering this technique to be the “gold standard” in patients with oral squamous cell carcinoma and a negative neck by clinical examination and imaging studies.

2021 ◽  
Vol 108 (Supplement_2) ◽  
Author(s):  
E Johnston ◽  
S Taylor ◽  
F Bannon ◽  
S McAllister

Abstract Introduction and Aims The aim of this systematic review is to provide an up-to-date evaluation of the role and test performance of sentinel lymph node biopsy (SLNB) in the head and neck. Method This review follows the PRISMA guidelines. Database searches for MEDLINE and EMBASE were constructed to retrieve human studies published between 1st January 2010 and 1st July 2020 assessing the role and accuracy of sentinel lymph node biopsy in cutaneous malignant melanoma of the head and neck. Articles were independently screened by two reviewers and critically appraised using the MINORS criteria. The primary outcomes consisted of the sentinel node identification rate and test-performance measures, including the false-negative rate and the posttest probability negative. Results A total of 27 studies, including 4688 patients, met the eligibility criteria. Statistical analysis produced weighted summary estimates for the sentinel node identification rate of 97.3% (95% CI, 95.9% to 98.6%), the false-negative rate of 21.3% (95% CI, 17.0% to 25.4%) and the posttest probability negative of 4.8% (95% CI, 3.9% to 5.8%). Discussion Sentinel lymph node biopsy is accurate and feasible in the head and neck. Despite technical improvements in localisation techniques, the false negative rate remains disproportionately higher than for melanoma in other anatomical sites.


2021 ◽  
Vol 7 ◽  
pp. 2513826X2110222
Author(s):  
Christine Nicholas ◽  
Carmen Webb ◽  
Claire Temple-Oberle

Reducing false negative rates for sentinel lymph node biopsies (SLNB) in melanoma is important to accurately prognosticate and to guide treatment. Traditionally, SLNB has been performed with the adjunct of radiotracers and blue dye. Although sentinel node mapping is highly successful in axillary and inguinal node basins, identification of nodes in the head and neck is not as accurate with traditional methods. One reason for this may be failure of radiotracer migration. To augment standard technique using a radiocolloid, indocyanine green (ICG) combined with near infrared spectroscopy (NIRS), has shown promising results. We demonstrate a case of an individual undergoing SLNB in the head and neck region with failure of radiotracer migration. Identification of a sentinel node was accomplished with the use of ICG and NIRS. This technology offers an opportunity to salvage the SLNB when traditional methods fail.


2021 ◽  
Vol 20 (3) ◽  
Author(s):  
Loh Soon Khang ◽  
Suraya Baharudin ◽  
Juliana Abdul Latiff ◽  
Siti Aishah Mahamad Dom ◽  
Shahrun Niza Suhaimi

INTRODUCTION: Introduction: Sentinel lymph node biopsy (SLNB) is now recognized as the standard of care for early breast cancer patients with negative axillary lymph nodes. Various approaches for Sentinel Lymph Node (SLN) identification using either the blue dye method or scintigraphy alone or their combination have been proposed. However, this method is costly and may not be applicable in certain developing countries. SLNB involving the use of indocyanine green (ICG) offers several advantages, and it is valid and safe when in direct comparison with the blue dye method and scintigraphy. Hence, we performed SLNB using this method in early breast cancer as the first center that involves the use of ICG in Malaysia. We performed validation study on this method with the aims to determine its sensitivity and safety profile. MATERIALS AND METHODS: This is a validation and non-randomised prospective observational study involving 20 patients underwent SLNB wherein ICG is used for localisation. The patients were recruited according to the recommendations stipulated in the Malaysia Clinical Practice Guideline. RESULT: The average number of SLNs removed per patient was 4.0 (range, 3–6) with sentinel lymph nodes detection rate at 98.75% (79/80). The false negative rate is at 5%. No adverse events were observed in all cases. CONCLUSION: The ICG fluorescence method is simple, reliable and safe. Moreover, it demonstrates a high SLN detection rate with a low false-negative rate, and it does not require a special instrument for radioisotope use.


2012 ◽  
Vol 122 (5) ◽  
pp. 1020-1030 ◽  
Author(s):  
Robert L. Ferris ◽  
Patrick Stefanika ◽  
Liqiang Xi ◽  
William Gooding ◽  
Raja R. Seethala ◽  
...  

2013 ◽  
Vol 149 (2_suppl) ◽  
pp. P194-P194
Author(s):  
Jennifer Yan ◽  
Thomas J. Gernon ◽  
Evan Glazer ◽  
James Warneke ◽  
Robert Krouse ◽  
...  

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