Pathology protocol increases lymph node yield in neck dissection for oral cavity squamous cell carcinoma.


Journal

Head & neck
ISSN: 1097-0347
Titre abrégé: Head Neck
Pays: United States
ID NLM: 8902541

Informations de publication

Date de publication:
10 2020
Historique:
received: 15 10 2019
revised: 11 05 2020
accepted: 30 05 2020
pubmed: 25 6 2020
medline: 22 6 2021
entrez: 25 6 2020
Statut: ppublish

Résumé

Lymph node yield (LNY) is a proposed quality indicator in neck dissection for oral cavity squamous cell carcinoma (OCSCC). Retrospective series including 190 patients with OCSCC undergoing neck dissection between 2016 and 2018. A change in pathologic grossing protocol was initiated during the study period to assess residual adipose tissue. A generalized linear model was used to assess the impact of multiple variables on LNY. Mean LNY was 28.59 (SD = 17.65). The protocol identified a mean of 10.32 lymph nodes per case. Multivariable analysis identified associations between LNY and use of the pathology protocol (P = .02), number of dissected lymph node levels (P < .001), presence of pathologic lymph nodes (P = .002), body mass index (P = .02), prior neck surgery (P = .001), and prior neck radiation (P = .001). Assessment of residual adipose tissue within neck dissection specimens improves accuracy of LNY. LNY in neck dissection is influenced by multiple factors including methods of pathologic assessment.

Sections du résumé

BACKGROUND
Lymph node yield (LNY) is a proposed quality indicator in neck dissection for oral cavity squamous cell carcinoma (OCSCC).
METHODS
Retrospective series including 190 patients with OCSCC undergoing neck dissection between 2016 and 2018. A change in pathologic grossing protocol was initiated during the study period to assess residual adipose tissue. A generalized linear model was used to assess the impact of multiple variables on LNY.
RESULTS
Mean LNY was 28.59 (SD = 17.65). The protocol identified a mean of 10.32 lymph nodes per case. Multivariable analysis identified associations between LNY and use of the pathology protocol (P = .02), number of dissected lymph node levels (P < .001), presence of pathologic lymph nodes (P = .002), body mass index (P = .02), prior neck surgery (P = .001), and prior neck radiation (P = .001).
CONCLUSIONS
Assessment of residual adipose tissue within neck dissection specimens improves accuracy of LNY. LNY in neck dissection is influenced by multiple factors including methods of pathologic assessment.

Identifiants

pubmed: 32578921
doi: 10.1002/hed.26343
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2872-2879

Informations de copyright

© 2020 Wiley Periodicals LLC.

Références

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Auteurs

Andrew J Holcomb (AJ)

Department of Otolaryngology, Head and Neck Surgery, The University of Kansas Medical Center, Kansas City, Kansas, USA.

Mollie Perryman (M)

Department of Otolaryngology, Head and Neck Surgery, The University of Kansas Medical Center, Kansas City, Kansas, USA.

Sara Goodwin (S)

Department of Otolaryngology, Head and Neck Surgery, The University of Kansas Medical Center, Kansas City, Kansas, USA.

Joseph Penn (J)

Department of Otolaryngology, Head and Neck Surgery, The University of Kansas Medical Center, Kansas City, Kansas, USA.

Mark R Villwock (MR)

Department of Otolaryngology, Head and Neck Surgery, The University of Kansas Medical Center, Kansas City, Kansas, USA.

Andrés M Bur (AM)

Department of Otolaryngology, Head and Neck Surgery, The University of Kansas Medical Center, Kansas City, Kansas, USA.

Yelizaveta Shnayder (Y)

Department of Otolaryngology, Head and Neck Surgery, The University of Kansas Medical Center, Kansas City, Kansas, USA.

Terance T Tsue (TT)

Department of Otolaryngology, Head and Neck Surgery, The University of Kansas Medical Center, Kansas City, Kansas, USA.

Janet Woodroof (J)

Department of Pathology and Lab Medicine, The University of Kansas Medical Center, Kansas City, Kansas, USA.

Kiran Kakarala (K)

Department of Otolaryngology, Head and Neck Surgery, The University of Kansas Medical Center, Kansas City, Kansas, USA.

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