Linked Life Data

17988196

Source:http://linkedlifedata.com/resource/pubmed/id/17988196

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
12
pubmed:dateCreated
2008-1-7
pubmed:abstractText
Ultrasonography is the most useful tool for detection and evaluation of thyroid nodules. In this study, we present our classification system for ultrasonographic evaluation, which has been routinely performed since 1995. Of 1244 nodules identified by ultrasonography in 900 patients, 1145 nodules demonstrating adequate specimens on fine-needle aspiration biopsy were enrolled in the study. We stratified these nodules into classes 1 to 5 with intermediate steps of 0.5 for classes 2 to 5. Nodules classified as 3.5 or greater were evaluated as malignant, those classified as 3 were evaluated as borderline, and those classified as 2.5 or lower were evaluated as benign. Of 233 nodules evaluated as malignant, 179 (76.8%) were cytologically confirmed as malignant. Furthermore, 145 of 159 nodules (91.2%) classified as 4 or greater were cytologically diagnosed as carcinoma. Of 710 nodules evaluated as benign, 683 (96.1%) were cytologically confirmed as benign. Two hundred fifty-five nodules of 210 patients were surgically resected and pathologically examined. In this series, the positive predictive value of ultrasonographic evaluation of malignancy was 97.2%. These findings suggest that our classification system is simple and useful to facilitate ultrasonographic evaluation of thyroid nodules.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
1050-7256
pubmed:author
pubmed:issnType
Print
pubmed:volume
17
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1269-76
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
Ultrasonographic evaluation of thyroid nodules in 900 patients: comparison among ultrasonographic, cytological, and histological findings.
pubmed:affiliation
Kuma Hospital, 8-2-35, Shimoyamate-dori, Chuo-ku, Kobe 650-0011, Japan. ito01@kuma-h.or.jp
pubmed:publicationType
Journal Article, Comparative Study