Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
12
pubmed:dateCreated
2005-11-11
pubmed:abstractText
Lymphnodes status in cervical carcinoma is important in therapeutic planning, and the role of Computed Tomography (CT) and Magnetic Resonance (MR) is controversial: this paper aims to evaluate their accuracy in diagnosing nodal metastases in patients with cervical carcinoma. We reviewed, retrospectively and blindly, CT and MR of 62 patients, before surgical lymphnode resection: 45 of these patients had pre-surgical chemotherapy. Lymphnodes were defined metastatic by CT and MRI when larger than 1 cm short axis. Both diagnoses by the original routine reports and by a second blind expert were compared with pathological reports. Results: combining the reading results of both observers CT showed a sensitivity of 64.6% and specificity of 93.3%; MRI a sensitivity of 72.9% and specificity of 93.1%. Positive Predictive Value was 50.8% for CT and 53% for MR, while Negative Predictive Value was 96% both for CT and MR. The expert Radiologist reviewing the films obtained better results. Inter-observer variability in the lower quadrants was high for each imaging technique (kappa for CT: 0.71; kappa for MRI: 0.84). Both imaging techniques showed similar screening accuracy in identifying nodal metastases. The radiologist's experience is important in determining the performance of the imaging technique. Anyway, CT and MRI are only moderately sensitive for detection of nodal metastases and the clinical impact of their results in patient's management is limited.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
0938-7994
pubmed:author
pubmed:issnType
Print
pubmed:volume
15
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
2469-74
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2005
pubmed:articleTitle
Accuracy of computed tomography and magnetic resonance imaging in the detection of lymph node involvement in cervix carcinoma.
pubmed:affiliation
School of Medicine, University of Milan, Milan, Italy. massimo.bellomi@ieo.it
pubmed:publicationType
Journal Article, Comparative Study