Predicting Pathological Complete Response After Neoadjuvant Chemotherapy in Advanced Breast Cancer by Ultrasound and Clinicopathological Features Using a Nomogram

Background and AimsPrediction of pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) for breast cancer is critical for surgical planning and evaluation of NAC efficacy. The purpose of this project was to assess the efficiency of a novel nomogram based on ultrasound and clinicop...

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Autores principales:	Hao Cui, Dantong Zhao, Peng Han, Xudong Zhang, Wei Fan, Xiaoxuan Zuo, Panting Wang, Nana Hu, Hanqing Kong, Fuhui Peng, Ying Wang, Jiawei Tian, Lei Zhang
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	breast cancer neoadjuvant chemotherapy ultrasound pathological complete response nomogram Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
Acceso en línea:	https://doaj.org/article/9d0ca8c3b1404f3485b108f708bb6cd8
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spelling	oai:doaj.org-article:9d0ca8c3b1404f3485b108f708bb6cd82021-11-30T13:03:01ZPredicting Pathological Complete Response After Neoadjuvant Chemotherapy in Advanced Breast Cancer by Ultrasound and Clinicopathological Features Using a Nomogram2234-943X10.3389/fonc.2021.718531https://doaj.org/article/9d0ca8c3b1404f3485b108f708bb6cd82021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fonc.2021.718531/fullhttps://doaj.org/toc/2234-943XBackground and AimsPrediction of pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) for breast cancer is critical for surgical planning and evaluation of NAC efficacy. The purpose of this project was to assess the efficiency of a novel nomogram based on ultrasound and clinicopathological features for predicting pCR after NAC.MethodsThis retrospective study included 282 patients with advanced breast cancer treated with NAC from two centers. Patients received breast ultrasound before NAC and after two cycles of NAC; and the ultrasound, clinicopathological features and feature changes after two cycles of NAC were recorded. A multivariate logistic regression model was combined with bootstrapping screened for informative features associated with pCR. Then, we constructed two nomograms: an initial-baseline nomogram and a two-cycle response nomogram. Sensitivity, specificity, negative predictive value (NPV), and positive predictive value (PPV) were analyzed. The C-index was used to evaluate predictive accuracy.ResultsSixty (60/282, 21.28%) patients achieved pCR. Triple-negative breast cancer (TNBC) and HER2-amplified types were more likely to obtain pCR. Size shrinkage, posterior acoustic pattern, and elasticity score were identified as independent factors by multivariate logistic regression. In the validation cohort, the two-cycle response nomogram showed better discrimination than the initial-baseline nomogram, with the C-index reaching 0.79. The sensitivity, specificity, and NPV of the two-cycle response nomogram were 0.77, 0.77, and 0.92, respectively.ConclusionThe two-cycle response nomogram exhibited satisfactory efficiency, which means that the nomogram was a reliable method to predict pCR after NAC. Size shrinkage after two cycles of NAC was an important in dependent factor in predicting pCR.Hao CuiDantong ZhaoPeng HanXudong ZhangWei FanXiaoxuan ZuoPanting WangNana HuHanqing KongFuhui PengYing WangJiawei TianLei ZhangFrontiers Media S.A.articlebreast cancerneoadjuvant chemotherapyultrasoundpathological complete responsenomogramNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENFrontiers in Oncology, Vol 11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	breast cancer neoadjuvant chemotherapy ultrasound pathological complete response nomogram Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
spellingShingle	breast cancer neoadjuvant chemotherapy ultrasound pathological complete response nomogram Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 Hao Cui Dantong Zhao Peng Han Xudong Zhang Wei Fan Xiaoxuan Zuo Panting Wang Nana Hu Hanqing Kong Fuhui Peng Ying Wang Jiawei Tian Lei Zhang Predicting Pathological Complete Response After Neoadjuvant Chemotherapy in Advanced Breast Cancer by Ultrasound and Clinicopathological Features Using a Nomogram
description	Background and AimsPrediction of pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) for breast cancer is critical for surgical planning and evaluation of NAC efficacy. The purpose of this project was to assess the efficiency of a novel nomogram based on ultrasound and clinicopathological features for predicting pCR after NAC.MethodsThis retrospective study included 282 patients with advanced breast cancer treated with NAC from two centers. Patients received breast ultrasound before NAC and after two cycles of NAC; and the ultrasound, clinicopathological features and feature changes after two cycles of NAC were recorded. A multivariate logistic regression model was combined with bootstrapping screened for informative features associated with pCR. Then, we constructed two nomograms: an initial-baseline nomogram and a two-cycle response nomogram. Sensitivity, specificity, negative predictive value (NPV), and positive predictive value (PPV) were analyzed. The C-index was used to evaluate predictive accuracy.ResultsSixty (60/282, 21.28%) patients achieved pCR. Triple-negative breast cancer (TNBC) and HER2-amplified types were more likely to obtain pCR. Size shrinkage, posterior acoustic pattern, and elasticity score were identified as independent factors by multivariate logistic regression. In the validation cohort, the two-cycle response nomogram showed better discrimination than the initial-baseline nomogram, with the C-index reaching 0.79. The sensitivity, specificity, and NPV of the two-cycle response nomogram were 0.77, 0.77, and 0.92, respectively.ConclusionThe two-cycle response nomogram exhibited satisfactory efficiency, which means that the nomogram was a reliable method to predict pCR after NAC. Size shrinkage after two cycles of NAC was an important in dependent factor in predicting pCR.
format	article
author	Hao Cui Dantong Zhao Peng Han Xudong Zhang Wei Fan Xiaoxuan Zuo Panting Wang Nana Hu Hanqing Kong Fuhui Peng Ying Wang Jiawei Tian Lei Zhang
author_facet	Hao Cui Dantong Zhao Peng Han Xudong Zhang Wei Fan Xiaoxuan Zuo Panting Wang Nana Hu Hanqing Kong Fuhui Peng Ying Wang Jiawei Tian Lei Zhang
author_sort	Hao Cui
title	Predicting Pathological Complete Response After Neoadjuvant Chemotherapy in Advanced Breast Cancer by Ultrasound and Clinicopathological Features Using a Nomogram
title_short	Predicting Pathological Complete Response After Neoadjuvant Chemotherapy in Advanced Breast Cancer by Ultrasound and Clinicopathological Features Using a Nomogram
title_full	Predicting Pathological Complete Response After Neoadjuvant Chemotherapy in Advanced Breast Cancer by Ultrasound and Clinicopathological Features Using a Nomogram
title_fullStr	Predicting Pathological Complete Response After Neoadjuvant Chemotherapy in Advanced Breast Cancer by Ultrasound and Clinicopathological Features Using a Nomogram
title_full_unstemmed	Predicting Pathological Complete Response After Neoadjuvant Chemotherapy in Advanced Breast Cancer by Ultrasound and Clinicopathological Features Using a Nomogram
title_sort	predicting pathological complete response after neoadjuvant chemotherapy in advanced breast cancer by ultrasound and clinicopathological features using a nomogram
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/9d0ca8c3b1404f3485b108f708bb6cd8
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Predicting Pathological Complete Response After Neoadjuvant Chemotherapy in Advanced Breast Cancer by Ultrasound and Clinicopathological Features Using a Nomogram

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