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신보강화학요법 후 유방암의 병리학적 완전 관해 예측 및 잔류 암 평가: 유방자기공명영상의 정확도 및 영향인자 분석
PURPOSE: To evaluate the accuracy of MRI in predicting the pathological complete response (pCR) and the residual tumor size of breast cancer after neoadjucant chemotherapy (NAC), and to determine the factors affecting the accuarcy. MATERIALS AND METHODS: Eighty-eight breast cancer patients who under...
Formato: | Online Artículo Texto |
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Lenguaje: | English |
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The Korean Society of Radiology
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9432449/ https://www.ncbi.nlm.nih.gov/pubmed/36238780 http://dx.doi.org/10.3348/jksr.2020.0120 |
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collection | PubMed |
description | PURPOSE: To evaluate the accuracy of MRI in predicting the pathological complete response (pCR) and the residual tumor size of breast cancer after neoadjucant chemotherapy (NAC), and to determine the factors affecting the accuarcy. MATERIALS AND METHODS: Eighty-eight breast cancer patients who underwent surgery after NAC at our center between 2010 and 2017 were included in this study. pCR was defined as the absence of invasive cancer on pathological evaluation. The maximum diameter of the residual tumor on post-NAC MRI was compared with the tumor size of the surgical specimen measured pathologically. Statistical analysis was performed to elucidate the factors affecting pCR and the residual tumor size-discrepancy between the MRI and the pathological measurements. RESULTS: The pCR rate was 10%. The diagnostic accuracy of MRI and the area under the curve for predicting pCR were 90.91% and 0.8017, respectively. The residual tumor sizes obtained using MRI and pathological measurements showed a strong correlation (r = 0.9, p < 0.001), especially in patients with a single mass lesion (p = 0.047). The size discrepancy between MRI and the pathological measurements was significantly greater in patients with the luminal type (p = 0.023) and multifocal tumors/non-mass enhancement on pre-NAC MRI (p = 0.047). CONCLUSION: MRI is an accurate tool for evaluating pCR and residual tumor size in breast cancer patients who receive NAC. Tumor subtype and initial MRI features affect the accuracy of MRI. |
format | Online Article Text |
id | pubmed-9432449 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Korean Society of Radiology |
record_format | MEDLINE/PubMed |
spelling | pubmed-94324492022-10-12 신보강화학요법 후 유방암의 병리학적 완전 관해 예측 및 잔류 암 평가: 유방자기공명영상의 정확도 및 영향인자 분석 Taehan Yongsang Uihakhoe Chi Breast Imaging PURPOSE: To evaluate the accuracy of MRI in predicting the pathological complete response (pCR) and the residual tumor size of breast cancer after neoadjucant chemotherapy (NAC), and to determine the factors affecting the accuarcy. MATERIALS AND METHODS: Eighty-eight breast cancer patients who underwent surgery after NAC at our center between 2010 and 2017 were included in this study. pCR was defined as the absence of invasive cancer on pathological evaluation. The maximum diameter of the residual tumor on post-NAC MRI was compared with the tumor size of the surgical specimen measured pathologically. Statistical analysis was performed to elucidate the factors affecting pCR and the residual tumor size-discrepancy between the MRI and the pathological measurements. RESULTS: The pCR rate was 10%. The diagnostic accuracy of MRI and the area under the curve for predicting pCR were 90.91% and 0.8017, respectively. The residual tumor sizes obtained using MRI and pathological measurements showed a strong correlation (r = 0.9, p < 0.001), especially in patients with a single mass lesion (p = 0.047). The size discrepancy between MRI and the pathological measurements was significantly greater in patients with the luminal type (p = 0.023) and multifocal tumors/non-mass enhancement on pre-NAC MRI (p = 0.047). CONCLUSION: MRI is an accurate tool for evaluating pCR and residual tumor size in breast cancer patients who receive NAC. Tumor subtype and initial MRI features affect the accuracy of MRI. The Korean Society of Radiology 2021-05 2021-03-22 /pmc/articles/PMC9432449/ /pubmed/36238780 http://dx.doi.org/10.3348/jksr.2020.0120 Text en Copyrights © 2021 The Korean Society of Radiology https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Breast Imaging 신보강화학요법 후 유방암의 병리학적 완전 관해 예측 및 잔류 암 평가: 유방자기공명영상의 정확도 및 영향인자 분석 |
title | 신보강화학요법 후 유방암의 병리학적 완전 관해 예측 및 잔류 암 평가: 유방자기공명영상의 정확도 및 영향인자 분석 |
title_full | 신보강화학요법 후 유방암의 병리학적 완전 관해 예측 및 잔류 암 평가: 유방자기공명영상의 정확도 및 영향인자 분석 |
title_fullStr | 신보강화학요법 후 유방암의 병리학적 완전 관해 예측 및 잔류 암 평가: 유방자기공명영상의 정확도 및 영향인자 분석 |
title_full_unstemmed | 신보강화학요법 후 유방암의 병리학적 완전 관해 예측 및 잔류 암 평가: 유방자기공명영상의 정확도 및 영향인자 분석 |
title_short | 신보강화학요법 후 유방암의 병리학적 완전 관해 예측 및 잔류 암 평가: 유방자기공명영상의 정확도 및 영향인자 분석 |
title_sort | 신보강화학요법 후 유방암의 병리학적 완전 관해 예측 및 잔류 암 평가: 유방자기공명영상의 정확도 및 영향인자 분석 |
topic | Breast Imaging |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9432449/ https://www.ncbi.nlm.nih.gov/pubmed/36238780 http://dx.doi.org/10.3348/jksr.2020.0120 |
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