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Nomogram for predicting breast conservation after neoadjuvant chemotherapy

Title
Nomogram for predicting breast conservation after neoadjuvant chemotherapy
Authors
Kim M.K.Han W.Moon H.-G.Ahn S.K.Kim J.Lee J.W.Kim J.-Y.Kim T.Lee K.-H.Kim T.-Y.Han S.-W.Im S.-A.Park I.A.Noh D.-Y.
Ewha Authors
이준우
SCOPUS Author ID
이준우scopusscopus
Issue Date
2015
Journal Title
Cancer Research and Treatment
ISSN
2233-601XJCR Link
Citation
Cancer Research and Treatment vol. 47, no. 2, pp. 197 - 207
Keywords
Breast neoplasmsNeoadjuvant therapyNomogramsSegmental mastectomy
Publisher
Korean Academy of Periodontology
Indexed
SCIE; SCOPUS; KCI WOS scopus
Document Type
Article
Abstract
Purpose The ability to accurately predict the likelihood of achieving breast conservation surgery (BCS) after neoadjuvant chemotherapy (NCT) is important in deciding whether NCT or surgery should be the first-line treatment in patients with operable breast cancers. Materials and Methods We reviewed the data of 513 women, who had stage II or III breast cancer and received NCT and surgery from a single institution. The ability of various clinicopathologic factors to predict the achievement of BCS and tumor size reduction to ≤ 3 cm was assessed. Nomograms were built and validated in an independent cohort. Results BCS was performed in 50.1% of patients, with 42.2% of tumors reduced to ≤ 3 cm after NCT. A multivariate logistic regression analysis showed that smaller initial tumor size, longer distance between the lesion and the nipple, absence of suspicious calcifications on mammography, and a single tumor were associated with BCS rather than mastectomy (p < 0.05). Negative estrogen receptor, smaller initial tumor size, higher Ki-67 level, and absence of in situ component were associated with residual tumor size ≤ 3 cm (p < 0.05). Two nomograms were developed using these factors. The areas under the receiver operating characteristic curves for nomograms predicting BCS and residual tumor ≤ 3 cm were 0.800 and 0.777, respectively. The calibration plots showed good agreement between the predicted and actual probabilities. Conclusion We have established a model with novel factors that predicts BCS and residual tumor size after NCT. This model can help in making treatment decisions for patients who are candidates for NCT. © 2015 by the Korean Cancer Association.
DOI
10.4143/crt.2013.247
Appears in Collections:
의료원 > 의료원 > Journal papers
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