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The impact of factors beyond Breslow depth on predicting sentinel lymph node positivity in melanoma

dc.contributor.authorPaek, Sandra C.en_US
dc.contributor.authorGriffith, Kent A.en_US
dc.contributor.authorJohnson, Timothy M.en_US
dc.contributor.authorSondak, Vernon K.en_US
dc.contributor.authorWong, Sandra L.en_US
dc.contributor.authorChang, Alfred E.en_US
dc.contributor.authorCimmino, Vincent M.en_US
dc.contributor.authorLowe, Lorien_US
dc.contributor.authorBradford, Carol R.en_US
dc.contributor.authorRees, Riley S.en_US
dc.contributor.authorSabel, Michael S.en_US
dc.date.accessioned2007-09-20T17:52:27Z
dc.date.available2008-04-03T18:44:20Zen_US
dc.date.issued2007-01-01en_US
dc.identifier.citationPaek, Sandra C.; Griffith, Kent A.; Johnson, Timothy M.; Sondak, Vernon K.; Wong, Sandra L.; Chang, Alfred E.; Cimmino, Vincent M.; Lowe, Lori; Bradford, Carol R.; Rees, Riley S.; Sabel, Michael S. (2007). "The impact of factors beyond Breslow depth on predicting sentinel lymph node positivity in melanoma." Cancer 109(1): 100-108. <http://hdl.handle.net/2027.42/55870>en_US
dc.identifier.issn0008-543Xen_US
dc.identifier.issn1097-0142en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/55870
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=17146784&dopt=citationen_US
dc.description.abstractBACKGROUND. In addition to Breslow depth, the authors previously described how increasing mitotic rate and decreasing age predicted sentinel lymph node (SLN) metastases in patients with melanoma. The objectives of the current study were to verify those previous results and to create a prediction model for the better selection of which patients with melanoma should undergo SLN biopsy. METHODS. The authors reviewed 1130 consecutive patients with melanoma in a prospective database who underwent successful SLN biopsy. After eliminating patients aged <16 years and patients who had melanomas that measured <1 mm, 910 remaining patients were reviewed for clinical and pathologic features and positive SLN status. Univariate association of patient and tumor characteristics with positive SLN status was explored by using standard logistic regression techniques, and the best multivariate model that predicted lymph node metastases was constructed by using a backward stepwise-elimination technique. RESULTS. The characteristics that were associated significantly with lymph node metastasis were angiolymphatic invasion, the absence of regression, increasing mitotic rate, satellitosis, ulceration, increasing Breslow depth, decreasing age, and location (trunk or lower extremity compared with upper extremity or head/neck). Previously reported interactions between mitotic rate and age and between Breslow depth and age were confirmed. The best multivariate model included patient age (linear), angiolymphatic invasion, the number of mitoses (linear), the interaction between patient age and the number of mitoses, Breslow depth (linear), the interaction between patient age and Breslow depth, and primary tumor location. CONCLUSIONS. Younger age, increasing mitotic rate (especially in younger patients), increasing Breslow depth (especially in older patients), angiolymphatic invasion, and trunk or lower extremity location of the primary tumor were associated with a greater likelihood of positive SLN status. The current results support the use of factors beyond Breslow depth to determine the risk of positive SLN status in patients with cutaneous melanoma. Cancer 2007. © 2006 American Cancer Societyen_US
dc.format.extent230336 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.publisherWiley Subscription Services, Inc., A Wiley Companyen_US
dc.subject.otherLife and Medical Sciencesen_US
dc.subject.otherCancer Research, Oncology and Pathologyen_US
dc.titleThe impact of factors beyond Breslow depth on predicting sentinel lymph node positivity in melanomaen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelOncology and Hematologyen_US
dc.subject.hlbsecondlevelPublic Healthen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Dermatology, University of Michigan Health System, Ann Arbor, Michiganen_US
dc.contributor.affiliationumBiostatistics Core of the University of Michigan Comprehensive Cancer Center, Ann Arbor, Michiganen_US
dc.contributor.affiliationumDepartment of Dermatology, University of Michigan Health System, Ann Arbor, Michigan ; Department of Otolaryngology, University of Michigan Health System, Ann Arbor, Michigan ; Department of Surgery, University of Michigan Health System, Ann Arbor, Michiganen_US
dc.contributor.affiliationumDepartment of Surgery, University of Michigan Health System, Ann Arbor, Michiganen_US
dc.contributor.affiliationumDepartment of Surgery, University of Michigan Health System, Ann Arbor, Michiganen_US
dc.contributor.affiliationumDepartment of Surgery, University of Michigan Health System, Ann Arbor, Michiganen_US
dc.contributor.affiliationumDepartment of Pathology, University of Michigan Health System, Ann Arbor, Michiganen_US
dc.contributor.affiliationumDepartment of Otolaryngology, University of Michigan Health System, Ann Arbor, Michiganen_US
dc.contributor.affiliationumDepartment of Surgery, University of Michigan Health System, Ann Arbor, Michiganen_US
dc.contributor.affiliationumDepartment of Surgery, University of Michigan Health System, Ann Arbor, Michigan ; Fax: (734) 647-9647 ; 3304 Cancer Center, 1500 East Medical Center Drive, Ann Arbor, MI 48109-0932en_US
dc.contributor.affiliationotherDepartment of Surgery, Moffitt Cancer Center, Tampa, Floridaen_US
dc.identifier.pmid17146784en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/55870/1/22382_ftp.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1002/cncr.22382en_US
dc.identifier.sourceCanceren_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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