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dc.contributor.authorSavaridas, Sarah L
dc.contributor.authorVinnicombe, Sarah J
dc.contributor.authorWarwick, Violet
dc.contributor.authorEvans, Andrew
dc.date.accessioned2024-04-22T10:30:08Z
dc.date.available2024-04-22T10:30:08Z
dc.date.issued2023-08
dc.identifier301288423
dc.identifier59f21586-948a-4479-b0ef-5ac20cdb92f4
dc.identifier37399083
dc.identifier85165521554
dc.identifier.citationSavaridas , S L , Vinnicombe , S J , Warwick , V & Evans , A 2023 , ' Predicting the response to neoadjuvant chemotherapy. Can the addition of tomosynthesis improve the accuracy of contrast-enhanced spectral mammography? A comparison with breast MRI ' , The British Journal of Radiology , vol. 96 , no. 1148 , 20220921 . https://doi.org/10.1259/bjr.20220921en
dc.identifier.issn0007-1285
dc.identifier.otherPubMedCentral: PMC10392651
dc.identifier.urihttps://hdl.handle.net/10023/29719
dc.description.abstractOBJECTIVES: Image monitoring is essential to monitor response to neoadjuvant chemotherapy (NACT). Whilst breast MRI is the gold-standard technique, evidence suggests contrast-enhanced spectral mammography (CESM) is comparable. We investigate whether the addition of digital breast tomosynthesis (DBT) to CESM increases the accuracy of response prediction. METHODS: Women receiving NACT for breast cancer were included. Imaging with CESM+DBT and MRI was performed post-NACT. Imaging appearance was compared with pathological specimens. Accuracy for predicting pathological complete response (pCR) and concordance with size of residual disease was calculated. RESULTS: Sixteen cancers in 14 patients were included, 10 demonstrated pCR. Greatest accuracy for predicting pCR was with CESM enhancement (accuracy: 81.3%, sensitivity: 100%, specificity: 57.1%), followed by MRI (accuracy: 62.5%, sensitivity: 44.4%, specificity: 85.7%). Concordance with invasive tumour size was greater for CESM enhancement than MRI, concordance-coefficients 0.70 vs 0.66 respectively. MRI demonstrated greatest concordance with whole tumour size followed by CESM+microcalcification, concordance coefficients 0.86 vs 0.69. DBT did not improve accuracy for prediction of pCR or residual disease size. CESM+DBT underestimated size of residual disease, MRI overestimated but no significant differences were seen (p>0.05). CONCLUSIONS: CESM is similar to MRI for predicting residual disease post-NACT. Size of enhancement alone demonstrates best concordance with invasive disease. Inclusion of residual microcalcification improves concordance with ductal carcinoma in situ. The addition of DBT to CESM does not improve accuracy. ADVANCES IN KNOWLEDGE: The addition ofDBT to CESM does not improve NACT response prediction. CESM enhancement has greatest accuracy for residual invasive disease, CESM+calcification has greater accuracy for residual in situ disease.
dc.format.extent171832
dc.language.isoeng
dc.relation.ispartofThe British Journal of Radiologyen
dc.subjectFemaleen
dc.subjectHumansen
dc.subjectNeoadjuvant Therapyen
dc.subjectContrast Mediaen
dc.subjectMammography/methodsen
dc.subjectBreast Neoplasms/diagnostic imagingen
dc.subjectBreast Diseasesen
dc.subjectMagnetic Resonance Imaging/methodsen
dc.subjectCalcinosisen
dc.subjectNeoplasm, Residual/diagnostic imagingen
dc.subjectDASen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.titlePredicting the response to neoadjuvant chemotherapy. Can the addition of tomosynthesis improve the accuracy of contrast-enhanced spectral mammography? : A comparison with breast MRIen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. School of Geography & Sustainable Developmenten
dc.identifier.doihttps://doi.org/10.1259/bjr.20220921
dc.description.statusPeer revieweden


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