File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Discriminating pyogenic brain abscesses, necrotic glioblastomas, and necrotic metastatic brain tumors by means of susceptibility-weighted imaging

TitleDiscriminating pyogenic brain abscesses, necrotic glioblastomas, and necrotic metastatic brain tumors by means of susceptibility-weighted imaging
Authors
Issue Date2015
PublisherSpringer Verlag. The Journal's web site is located at http://link.springer.de/link/service/journals/00330/index.htm
Citation
European Radiology, 2015, v. 25 n. 5, p. 1413-1420 How to Cite?
AbstractObjectives: To investigate the feasibility of using susceptibility-weighted imaging (SWI) to discriminate abscesses and necrotic tumours. Methods: Twenty-one patients with pyogenic abscesses, 21 patients with rim-enhancing glioblastomas and 23 patients with rim-enhancing metastases underwent SWI. Intralesional susceptibility signal (ILSS) was analyzed employing both qualitative (QL) and semi-quantitative (SQ) methods. Logistic regression models and receiver operating characteristic analysis were used to demonstrate the discriminating power. Results: In QL analysis, ILSSs were seen in 12 of 21 abscesses, in 20 of 21 glioblastomas, and in 16 of 23 metastases. In SQ analysis, a low degree of ILSS (85.8 %) was in the majority of abscesses and a high degree of ILSS (76.2 %) was in the majority of glioblastomas. SQ model was significantly better than QL model in distinguishing abscesses from glioblastomas (P < .001). A derived ILSS cutoff grade of 1 or less was quantified as having a sensitivity of 85.7 %, specificity of 90.5 %, accuracy of 88.1 %, PPV of 90.0 %, and NPV of 86.4 % in distinguishing abscesses from glioblastomas. Conclusions: A high-grade ILSS may help distinguish glioblastomas from abscesses and necrotic metastatic brain tumours. The lack of ILSS or low-grade ILSS can be a more specific sign in the imaging diagnosis of abscesses. Key Points: • ILSS of SWI can contribute to differential diagnosis of rim-enhanced mass. • Low-grade ILSS can be a more specific sign in abscesses. • High-grade ILSS may help distinguish necrotic glioblastomas from abscesses. • ILSS spreads across the four ILSS categories in metastases. © 2014 European Society of Radiology
Persistent Identifierhttp://hdl.handle.net/10722/210143
ISSN
2015 Impact Factor: 3.64
2015 SCImago Journal Rankings: 2.064

 

DC FieldValueLanguage
dc.contributor.authorFu, JH-
dc.contributor.authorChuang, TC-
dc.contributor.authorChung, HW-
dc.contributor.authorChang, HCC-
dc.contributor.authorLin, HS-
dc.contributor.authorHsu, SS-
dc.contributor.authorWang, PC-
dc.contributor.authorHsu, SH-
dc.contributor.authorPan, HB-
dc.contributor.authorLai, PH-
dc.date.accessioned2015-05-22T06:17:16Z-
dc.date.available2015-05-22T06:17:16Z-
dc.date.issued2015-
dc.identifier.citationEuropean Radiology, 2015, v. 25 n. 5, p. 1413-1420-
dc.identifier.issn0938-7994-
dc.identifier.urihttp://hdl.handle.net/10722/210143-
dc.description.abstractObjectives: To investigate the feasibility of using susceptibility-weighted imaging (SWI) to discriminate abscesses and necrotic tumours. Methods: Twenty-one patients with pyogenic abscesses, 21 patients with rim-enhancing glioblastomas and 23 patients with rim-enhancing metastases underwent SWI. Intralesional susceptibility signal (ILSS) was analyzed employing both qualitative (QL) and semi-quantitative (SQ) methods. Logistic regression models and receiver operating characteristic analysis were used to demonstrate the discriminating power. Results: In QL analysis, ILSSs were seen in 12 of 21 abscesses, in 20 of 21 glioblastomas, and in 16 of 23 metastases. In SQ analysis, a low degree of ILSS (85.8 %) was in the majority of abscesses and a high degree of ILSS (76.2 %) was in the majority of glioblastomas. SQ model was significantly better than QL model in distinguishing abscesses from glioblastomas (P < .001). A derived ILSS cutoff grade of 1 or less was quantified as having a sensitivity of 85.7 %, specificity of 90.5 %, accuracy of 88.1 %, PPV of 90.0 %, and NPV of 86.4 % in distinguishing abscesses from glioblastomas. Conclusions: A high-grade ILSS may help distinguish glioblastomas from abscesses and necrotic metastatic brain tumours. The lack of ILSS or low-grade ILSS can be a more specific sign in the imaging diagnosis of abscesses. Key Points: • ILSS of SWI can contribute to differential diagnosis of rim-enhanced mass. • Low-grade ILSS can be a more specific sign in abscesses. • High-grade ILSS may help distinguish necrotic glioblastomas from abscesses. • ILSS spreads across the four ILSS categories in metastases. © 2014 European Society of Radiology-
dc.languageeng-
dc.publisherSpringer Verlag. The Journal's web site is located at http://link.springer.de/link/service/journals/00330/index.htm-
dc.relation.ispartofEuropean Radiology-
dc.rightsThe final publication is available at Springer via http://dx.doi.org/10.1007/s00330-014-3518-x-
dc.titleDiscriminating pyogenic brain abscesses, necrotic glioblastomas, and necrotic metastatic brain tumors by means of susceptibility-weighted imaging-
dc.typeArticle-
dc.identifier.emailChang, HCC: hccchang@hku.hk-
dc.identifier.authorityChang, HCC=rp02024-
dc.identifier.doi10.1007/s00330-014-3518-x-
dc.identifier.pmid25465712-
dc.identifier.scopuseid_2-s2.0-84939933482-
dc.identifier.volume25-
dc.identifier.issue5-
dc.identifier.spage1413-
dc.identifier.epage1420-
dc.publisher.placeGermany-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats