Linked Life Data

19095155

Source:http://linkedlifedata.com/resource/pubmed/id/19095155

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2008-12-19
pubmed:abstractText
Routine light microscopy supplemented with immunohistochemistry in cases of metastatic or spindle cell melanoma are standards of care for the diagnosis and staging of melanoma. Not all melanocytic tumors can be confidently classified as melanoma or benign nevus by histology, however. In addition, tumor thickness and ulceration, the current American Joint Classification on Cancer prognosticators for primary cutaneous (stages I and II) melanoma used in clinical practice, do not perfectly predict an individual's clinical course. Recent advances in molecular techniques and bioinformatics mandate testing and use of novel methods for the detection, diagnosis, and classification of melanocytic tumors that can accurately predict tumor behavior and help in selecting the most optimal and individualized therapy.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1879-1131
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
27
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
75-102
pubmed:meshHeading
pubmed:articleTitle
New techniques in dermatopathology that help to diagnose and prognosticate melanoma.
pubmed:affiliation
Department of Pathology, Albany Medical College MC-81, Albany, NY 12208, USA. carlsoa@mail.amc.edu
pubmed:publicationType
Journal Article, Review