TY - JOUR
T1 - Margin Analysis in Head and Neck Cancer
T2 - State of the Art and Future Directions
AU - Li, Michael M.
AU - Puram, Sidharth V.
AU - Silverman, Dustin A.
AU - Old, Matthew O.
AU - Rocco, James W.
AU - Kang, Stephen Y.
N1 - Publisher Copyright:
© 2019, Society of Surgical Oncology.
PY - 2019/11/1
Y1 - 2019/11/1
N2 - Background: The status of surgical margins is the most important prognosticator for patients undergoing surgical resection of head and neck squamous cell carcinoma (HNSCC). Despite this, analysis of surgical margins is fraught with inconsistencies, including the ways in which margins are sampled and interpreted. Fundamentally, even the definition what constitutes a “clear” (or negative) margin may vary between institutions, surgeons, and pathologists. Methods: The PubMed database was queried for articles relevant to the topic, and experts in the field were consulted regarding key articles for inclusion. Abstracts were reviewed and the full text was accessed for articles of particular interest. Results: Data regarding various approaches to traditional margin analysis have been published without consensus. Several next-generation technologies have emerged in recent years that hold promise. Conclusion: An overview and appraisal of traditional margin analysis techniques are provided. Additionally, we explore novel technologies that may assist in more accurate margin assessment, guide the extent of surgical resections intraoperatively, and inform decisions regarding adjuvant treatment postoperatively.
AB - Background: The status of surgical margins is the most important prognosticator for patients undergoing surgical resection of head and neck squamous cell carcinoma (HNSCC). Despite this, analysis of surgical margins is fraught with inconsistencies, including the ways in which margins are sampled and interpreted. Fundamentally, even the definition what constitutes a “clear” (or negative) margin may vary between institutions, surgeons, and pathologists. Methods: The PubMed database was queried for articles relevant to the topic, and experts in the field were consulted regarding key articles for inclusion. Abstracts were reviewed and the full text was accessed for articles of particular interest. Results: Data regarding various approaches to traditional margin analysis have been published without consensus. Several next-generation technologies have emerged in recent years that hold promise. Conclusion: An overview and appraisal of traditional margin analysis techniques are provided. Additionally, we explore novel technologies that may assist in more accurate margin assessment, guide the extent of surgical resections intraoperatively, and inform decisions regarding adjuvant treatment postoperatively.
UR - http://www.scopus.com/inward/record.url?scp=85070219036&partnerID=8YFLogxK
U2 - 10.1245/s10434-019-07645-9
DO - 10.1245/s10434-019-07645-9
M3 - Article
C2 - 31385128
AN - SCOPUS:85070219036
SN - 1068-9265
VL - 26
SP - 4070
EP - 4080
JO - Annals of Surgical Oncology
JF - Annals of Surgical Oncology
IS - 12
ER -