Prediction of pathological complete response of breast cancer patients who received neoadjuvant chemotherapy with a nomogram based on clinicopathologic variables, ultrasound, and MRI.

Autor:	Zhang MQ; Department of Ultrasound, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China., Liu XP; Department of Ultrasound, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China., Du Y; Department of Ultrasound, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China., Zha HL; Department of Ultrasound, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China., Zha XM; Department of Breast Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China., Wang J; Department of Breast Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China., Liu XA; Department of Breast Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China., Wang SJ; Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China., Zou QG; Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China., Zhang JL; Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China., Li CY; Department of Ultrasound, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Jazyk:	angličtina
Zdroj:	The British journal of radiology [Br J Radiol] 2024 Jan 23; Vol. 97 (1153), pp. 228-236.
DOI:	10.1093/bjr/tqad014
Abstrakt:	Objective: To establish a nomogram for predicting the pathologic complete response (pCR) in breast cancer (BC) patients after NAC by applying magnetic resonance imaging (MRI) and ultrasound (US). Methods: A total of 607 LABC women who underwent NAC before surgery between January 2016 and June 2022 were retrospectively enrolled, and then were randomly divided into the training (n = 425) and test set (n = 182) with the ratio of 7:3. MRI and US variables were collected before and after NAC, as well as the clinicopathologic features. Univariate and multivariate logistic regression analyses were applied to confirm the potentially associated predictors of pCR. Finally, a nomogram was developed in the training set with its performance evaluated by the area under the receiver operating characteristics curve (ROC) and validated in the test set. Results: Of the 607 patients, 108 (25.4%) achieved pCR. Hormone receptor negativity (odds ratio [OR], 0.3; P < .001), human epidermal growth factor receptor 2 positivity (OR, 2.7; P = .001), small tumour size at post-NAC US (OR, 1.0; P = .031), tumour size reduction ≥50% at MRI (OR, 9.8; P < .001), absence of enhancement in the tumour bed at post-NAC MRI (OR, 8.1; P = .003), and the increase of ADC value after NAC (OR, 0.3; P = .035) were all significantly associated with pCR. Incorporating the above variables, the nomogram showed a satisfactory performance with an AUC of 0.884. Conclusion: A nomogram including clinicopathologic variables and MRI and US characteristics shows preferable performance in predicting pCR. Advances in Knowledge: A nomogram incorporating MRI and US with clinicopathologic variables was developed to provide a brief and concise approach in predicting pCR to assist clinicians in making treatment decisions early. (© The Author(s) 2023. Published by Oxford University Press on behalf of the British Institute of Radiology. All rights reserved. For permissions, please email: journals.permissions@oup.com.)
Databáze:	MEDLINE
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