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http://hdl.handle.net/11452/23107
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kızılkaya, Eşref | - |
dc.date.accessioned | 2021-12-09T06:46:05Z | - |
dc.date.available | 2021-12-09T06:46:05Z | - |
dc.date.issued | 2009-04 | - |
dc.identifier.citation | Gökalp, G. vd. (2009). "Power doppler sonography: Anything to add to BI-RADS US in solid breast masses?". European Journal of Radiology, 70(1), 77-85. | en_US |
dc.identifier.issn | 0720-048X | - |
dc.identifier.uri | https://doi.org/10.1016/j.ejrad.2007.12.007 | - |
dc.identifier.uri | https://www.sciencedirect.com/science/article/pii/S0720048X07006109 | - |
dc.identifier.uri | http://hdl.handle.net/11452/23107 | - |
dc.description.abstract | Objective: To evaluate the contribution of power Doppler ultrasonography (PDUS) to breast imaging reporting and data system ultrasonography (BI-RADS US) categorization of solid breast masses. Materials and methods: Totally 94 solid lesions with histopathological results in 49 patients were included in the study. US features of the lesions were classified according to American College of Radiologists (ACR) BI-RADS US lexicon. Lesions were evaluated qualitatively according to their PDUS properties and quantitatively with spectral analysis. Hypervascularity, penetration of vessels into the mass or branching-disordered course and resistivity index values higher than 0.85 were accepted as probable malignant criteria. Results: Fifty-five of 94 lesions were benign (58.5%), while 39 (41.5%) were malignant histopathologically. The sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of US and PDUS in the diagnosis of malignant lesions were 100%, 58.2%, 62.9%, 100% and 71.8%, 81.8%, 73.7%, 80.4%, respectively. Criteria used for the distinction of malignant and benign lesions like number of vessels (p < 0.05), distribution of tumoral vessels, morphology of vessels and resistivity index values higher than 0.85 showed statistically significant difference (p < 0.001). When sonographic findings were combined with PDUS and spectral analysis findings, sensitivity, specificity, PPV and NPV were 100%, 52.7%, 60% and 100%, respectively. Conclusion: PDUS and spectral analysis have no contribution to BI-RADS US. For the spectral analysis, when RI value is one or greater, malignancy risk significantly increases. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Elsevier Ireland | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Breast | en_US |
dc.subject | BI-RADS | en_US |
dc.subject | Power Doppler | en_US |
dc.subject | Ultrasonography | en_US |
dc.subject | Color | en_US |
dc.subject | Lesions | en_US |
dc.subject | Benign | en_US |
dc.subject | Vascularity | en_US |
dc.subject | Experience | en_US |
dc.subject | Ultrasound | en_US |
dc.subject | Diagnosis | en_US |
dc.subject | Cancer | en_US |
dc.subject | Tumors | en_US |
dc.subject | Index | en_US |
dc.subject | Radiology, nuclear medicine | en_US |
dc.subject | Medical imaging | en_US |
dc.subject | Risk analysis | en_US |
dc.subject | Spectrum analysis | en_US |
dc.subject | Spectrum analyzers | en_US |
dc.subject | Ultrasonography | en_US |
dc.subject | Benign lesions | en_US |
dc.subject | BI-RADS | en_US |
dc.subject | Breast | en_US |
dc.subject | Breast imaging | en_US |
dc.subject | Data systems | en_US |
dc.subject | Malignant lesions | en_US |
dc.subject | Negative predictive values | en_US |
dc.subject | Positive predictive values | en_US |
dc.subject | Power doppler | en_US |
dc.subject | Power doppler sonographies | en_US |
dc.subject | Power doppler ultrasonographies | en_US |
dc.subject | Resistivity indices | en_US |
dc.subject | Solid breast mass | en_US |
dc.subject | Sonographic findings | en_US |
dc.subject | Spectral analysis | en_US |
dc.subject | Statistically significant differences | en_US |
dc.subject | Ultrasonic imaging | en_US |
dc.subject.mesh | Adult | en_US |
dc.subject.mesh | Aged | en_US |
dc.subject.mesh | Aged, 80 and over | en_US |
dc.subject.mesh | Algorithms | en_US |
dc.subject.mesh | Breast neoplasms | en_US |
dc.subject.mesh | Female | en_US |
dc.subject.mesh | Humans | en_US |
dc.subject.mesh | Image enhancement | en_US |
dc.subject.mesh | Image interpretation, computer-assisted | en_US |
dc.subject.mesh | Middle aged | en_US |
dc.subject.mesh | Reproducibility of results | en_US |
dc.subject.mesh | Sensitivity and specificity | en_US |
dc.subject.mesh | Ultrasonography, doppler | en_US |
dc.subject.mesh | Ultrasonography, mammary | en_US |
dc.title | Power doppler sonography: Anything to add to BI-RADS US in solid breast masses? | en_US |
dc.type | Article | en_US |
dc.identifier.wos | 000265858800013 | tr_TR |
dc.identifier.scopus | 2-s2.0-63649148417 | tr_TR |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi | tr_TR |
dc.contributor.department | Uludağ Üniversitesi/Tıp Fakültesi/Radyoloji Anabilim Dalı. | tr_TR |
dc.identifier.startpage | 77 | tr_TR |
dc.identifier.endpage | 85 | tr_TR |
dc.identifier.volume | 70 | tr_TR |
dc.identifier.issue | 1 | tr_TR |
dc.relation.journal | European Journal of Radiology | en_US |
dc.contributor.buuauthor | Gökalp, Gökhan | - |
dc.contributor.buuauthor | Topal, Uğur | - |
dc.contributor.researcherid | AAI-2336-2021 | tr_TR |
dc.relation.collaboration | Yurt içi | tr_TR |
dc.identifier.pubmed | 18243623 | tr_TR |
dc.subject.wos | Radiology, nuclear medicine | en_US |
dc.subject.wos | Medical imaging | en_US |
dc.indexed.wos | SCIE | en_US |
dc.indexed.scopus | Scopus | en_US |
dc.indexed.pubmed | Pubmed | en_US |
dc.wos.quartile | Q2 | en_US |
dc.contributor.scopusid | 8312505100 | tr_TR |
dc.contributor.scopusid | 57001254100 | tr_TR |
dc.subject.scopus | Contrast Agent BR1; Breasts; Ultrasonography | en_US |
dc.subject.emtree | Adult | en_US |
dc.subject.emtree | Aged | en_US |
dc.subject.emtree | Apocrine carcinoma | en_US |
dc.subject.emtree | Article | en_US |
dc.subject.emtree | Breast cancer | en_US |
dc.subject.emtree | Breast fibroadenoma | en_US |
dc.subject.emtree | Breast fibrosis | en_US |
dc.subject.emtree | Breast papilloma | en_US |
dc.subject.emtree | Breast tumor | en_US |
dc.subject.emtree | Cancer resistance | en_US |
dc.subject.emtree | Cancer risk | en_US |
dc.subject.emtree | Chronic inflammation | en_US |
dc.subject.emtree | Clinical article | en_US |
dc.subject.emtree | Clinical feature | en_US |
dc.subject.emtree | Controlled study | en_US |
dc.subject.emtree | Diagnostic accuracy | en_US |
dc.subject.emtree | Doppler echography | en_US |
dc.subject.emtree | Fat necrosis | en_US |
dc.subject.emtree | Female | en_US |
dc.subject.emtree | Fibrocystic breast disease | en_US |
dc.subject.emtree | Histopathology | en_US |
dc.subject.emtree | Human | en_US |
dc.subject.emtree | Human tissue | en_US |
dc.subject.emtree | Intraductal carcinoma | en_US |
dc.subject.emtree | Lung carcinoma | en_US |
dc.subject.emtree | Lymphoid hyperplasia | en_US |
dc.subject.emtree | Male | en_US |
dc.subject.emtree | Mastitis | en_US |
dc.subject.emtree | Medical society | en_US |
dc.subject.emtree | Mucinous carcinoma | en_US |
dc.subject.emtree | Neurofibroma | en_US |
dc.subject.emtree | Papillary carcinoma | en_US |
dc.subject.emtree | Prediction and forecasting | en_US |
dc.subject.emtree | Priority journal | en_US |
dc.subject.emtree | Quantitative analysis | en_US |
dc.subject.emtree | Spectroscopy | en_US |
dc.subject.emtree | Statistical significance | en_US |
dc.subject.emtree | Tumor vascularization | en_US |
dc.subject.emtree | United States | en_US |
dc.subject.emtree | Vascularization | en_US |
Appears in Collections: | Scopus Web of Science |
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