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Real-time ultrasound elastography in 180 axillary lymph nodes

  • Background To determine the general appearance of normal axillary lymph nodes (LNs) in real-time tissue sonoelastography and to explore the method′s potential value in the prediction of LN metastases. Methods Axillary LNs in healthy probands (n=165) and metastatic LNs in breast cancer patients (n=15) were examined with palpation, B-mode ultrasound, Doppler and sonoelastography (assessment of the elasticity of the cortex and the medulla). The elasticity distributions were compared and sensitivity (SE) and specificity (SP) were calculated. In an exploratory analysis, positive and negative predictive values (PPV, NPV) were calculated based upon the estimated prevalence of LN metastases in different risk groups. Results In the elastogram, the LN cortex was significantly harder than the medulla in both healthy (p=0.004) and metastatic LNs (p=0.005). Comparing healthy and metastatic LNs, there was no difference in the elasticity distribution of the medulla (p=0.281), but we found a significantly harder cortex in metastaticBackground To determine the general appearance of normal axillary lymph nodes (LNs) in real-time tissue sonoelastography and to explore the method′s potential value in the prediction of LN metastases. Methods Axillary LNs in healthy probands (n=165) and metastatic LNs in breast cancer patients (n=15) were examined with palpation, B-mode ultrasound, Doppler and sonoelastography (assessment of the elasticity of the cortex and the medulla). The elasticity distributions were compared and sensitivity (SE) and specificity (SP) were calculated. In an exploratory analysis, positive and negative predictive values (PPV, NPV) were calculated based upon the estimated prevalence of LN metastases in different risk groups. Results In the elastogram, the LN cortex was significantly harder than the medulla in both healthy (p=0.004) and metastatic LNs (p=0.005). Comparing healthy and metastatic LNs, there was no difference in the elasticity distribution of the medulla (p=0.281), but we found a significantly harder cortex in metastatic LNs (p=0.006). The SE of clinical examination, B-mode ultrasound, Doppler ultrasound and sonoelastography was revealed to be 13.3%, 40.0%, 14.3% and 60.0%, respectively, and SP was 88.4%, 96.8%, 95.6% and 79.6%, respectively. The highest SE was achieved by the disjunctive combination of B-mode and elastographic features (cortex >3mm in B-mode or blue cortex in the elastogram, SE=73.3%). The highest SP was achieved by the conjunctive combination of B-mode ultrasound and elastography (cortex >3mm in B-mode and blue cortex in the elastogram, SP=99.3%). Conclusions Sonoelastography is a feasible method to visualize the elasticity distribution of LNs. Moreover, sonoelastography is capable of detecting elasticity differences between the cortex and medulla, and between metastatic and healthy LNs. Therefore, sonoelastography yields additional information about axillary LN status and can improve the PPV, although this method is still experimental.zeige mehrzeige weniger

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Verfasserangaben:Sebastian WojcinskiGND, Jennifer Dupont, Werner Schmidt, Michael CasselORCiDGND, Peter HillemannsORCiDGND
URN:urn:nbn:de:kobv:517-opus4-431584
DOI:https://doi.org/10.25932/publishup-43158
ISSN:1866-8364
Titel des übergeordneten Werks (Deutsch):Postprints der Universität Potsdam : Humanwissenschaftliche Reihe
Untertitel (Englisch):elasticity distribution in healthy lymph nodes and prediction of breast cancer metastases
Schriftenreihe (Bandnummer):Zweitveröffentlichungen der Universität Potsdam : Humanwissenschaftliche Reihe (626)
Publikationstyp:Postprint
Sprache:Englisch
Datum der Erstveröffentlichung:24.04.2020
Erscheinungsjahr:2012
Veröffentlichende Institution:Universität Potsdam
Datum der Freischaltung:24.04.2020
Freies Schlagwort / Tag:HI-RTE; axillary lymph nodes; breast ultrasound; cancer detection; elasticity imaging; lymph node metastases; real-time tissue elastography; sonoelastography
Ausgabe:626
Seitenanzahl:12
Quelle:BMC Medical Imaging 12 (2012) 35 DOI: 10.1186/1471-2342-12-35
Organisationseinheiten:Humanwissenschaftliche Fakultät
DDC-Klassifikation:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Peer Review:Referiert
Fördermittelquelle:BioMed Central
Publikationsweg:Open Access / Green Open-Access
Lizenz (Englisch):License LogoCreative Commons - Namensnennung 2.0 Generic
Externe Anmerkung:Bibliographieeintrag der Originalveröffentlichung/Quelle
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