Utility of synthetic MRI in predicting pathological complete response of various breast cancer subtypes prior to neoadjuvant chemotherapy

被引:10
|
作者
Matsuda, M. [1 ]
Fukuyama, N. [1 ]
Matsuda, T. [2 ]
Kikuchi, S. [1 ]
Shiraishi, Y. [1 ]
Takimoto, Y. [1 ]
Kamei, Y. [3 ]
Kurata, M. [4 ,5 ]
Kitazawa, R. [6 ]
Kido, T. [1 ]
机构
[1] Ehime Univ, Dept Radiol, Grad Sch Med, Toon, Ehime 7910295, Japan
[2] Ehime Univ, Dept Med Informat, Grad Sch Med, Toon, Ehime 7910295, Japan
[3] Ehime Univ Hosp, Breast Ctr, Toon, Ehime 7910295, Japan
[4] Ehime Univ, Dept Pathol, Proteo Sci Ctr, Toon, Ehime 7910295, Japan
[5] Ehime Univ, Dept Analyt Pathol, Grad Sch Med, Toon, Ehime 7910295, Japan
[6] Ehime Univ Hosp, Div Diagnost Pathol, Toon, Ehime 7910295, Japan
关键词
APPARENT DIFFUSION-COEFFICIENT; DCE-MRI; PARAMETERS; THERAPY; LESIONS; TIME;
D O I
10.1016/j.crad.2022.06.019
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
AIM: To evaluate the usefulness of synthetic magnetic resonance imaging (MRI) performed before the initiation of neoadjuvant chemotherapy (NAC) in predicting whether breast cancers can achieve a pathological complete response (pCR) after the completion of NAC.MATERIALS AND METHODS: This retrospective study investigated 37 consecutive patients with 39 breast cancers (pCR: 14, and non-pCR: 25) who underwent dynamic contrast -enhanced (DCE)-MRI and synthetic MRI before the initiation of NAC. Using synthetic MRI images, quantitative values (T1 and T2 relaxation times, proton density [PD] and their standard deviations [SD]) were obtained in breast lesions, before (Pre-T1, Pre-T2, Pre-PD, SD of Pre-T1, SD of Pre-T2, SD of Pre-PD) and after (Gd-T1, Gd-T2, Gd-PD, SD of Gd-T1, SD of Gd-T2, SD of Gd-PD) contrast agent injection. The aforementioned quantitative values and several morphological features that were identified on DCE-MRI were compared between pCR and non-pCR.RESULTS: Multivariate analyses revealed that the SD of Pre-T2 (p1/40.038) was significant and was an independent predictor of pCR, with an area under the receiver operating characteristics curve of 0.829. The sensitivity, specificity, and accuracy of the SD of Pre-T2 with an optimal cut-off value of 11.5 were 71.4%, 80%, and 76.3%, respectively.CONCLUSIONS: The SD of Pre-T2 obtained from synthetic MRI was used successfully to predict those breast cancers that would achieve a pCR after the completion of NAC; however, these results are preliminary and need to be verified by further studies.(c) 2022 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:855 / 863
页数:9
相关论文
共 50 条
  • [21] Factors predicting pathological complete response in patients with localized breast cancer receiving neoadjuvant chemotherapy.
    Roy, Arya Mariam
    Attwood, Kristopher
    Gandhi, Shipra
    JOURNAL OF CLINICAL ONCOLOGY, 2022, 40 (28) : 165 - 165
  • [22] A real-world clinicopathological model for predicting pathological complete response to neoadjuvant chemotherapy in breast cancer
    Fang, Shan
    Xia, Wenjie
    Zhang, Haibo
    Ni, Chao
    Wu, Jun
    Mo, Qiuping
    Jiang, Mengjie
    Guan, Dandan
    Yuan, Hongjun
    Chen, Wuzhen
    FRONTIERS IN ONCOLOGY, 2024, 14
  • [23] Individualized model for predicting pathological complete response to neoadjuvant chemotherapy in patients with breast cancer: A multicenter study
    Qian, Bei
    Yang, Jing
    Zhou, Jun
    Hu, Longqing
    Zhang, Shoupeng
    Ren, Min
    Qu, Xincai
    FRONTIERS IN ENDOCRINOLOGY, 2022, 13
  • [24] Factors Predicting Pathological Complete Response and Survival Outcomes in Breast Cancer Patients Receiving Neoadjuvant Chemotherapy
    Louis, Dhanya Mary
    Mathew, Merin
    Gutjahr, Georg
    Mp, Narmada
    Nair, Lakshmi Malavika
    Bhaskaran, Renjitha
    Kottarathil, Vijaykumar Dehannathparambil
    INDIAN JOURNAL OF SURGICAL ONCOLOGY, 2025,
  • [25] Pathological Complete Response to Neoadjuvant Chemotherapy in Patients With Breast Cancer: The Relationship Between Inflammatory Biomarkers and Molecular Subtypes
    Tekyol, Kubra Kaytaz
    Gurleyik, Gunay
    Aktas, Aysegul
    Aker, Fugen
    Tanrikulu, Eda
    Tekyol, Davut
    CUREUS JOURNAL OF MEDICAL SCIENCE, 2021, 13 (04)
  • [26] Biomarkers Predicting Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer
    Li, Xiaoxian Bill
    Krishnamurti, Uma
    Bhattarai, Shristi
    Ktimov, Sergey
    Reid, Michelle D.
    O'Regan, Ruth
    Aneja, Ritu
    AMERICAN JOURNAL OF CLINICAL PATHOLOGY, 2016, 145 (06) : 871 - 878
  • [27] Pathologic complete response after neoadjuvant chemotherapy in breast cancer molecular subtypes
    Sari, E.
    Aksoy, S.
    Dogan, M.
    Altinbas, M.
    Zengin, N.
    Ozisik, Y.
    Altundag, K.
    BREAST, 2015, 24 : S99 - S99
  • [28] Preliminary experiences of PET/MRI in predicting complete response in patients with breast cancer treated with neoadjuvant chemotherapy
    Sekine, Chikako
    Uchiyama, Nachiko
    Watase, Chikashi
    Murata, Takeshi
    Shiino, Sho
    Jimbo, Kenjiro
    Iwamoto, Eriko
    Takayama, Shin
    Kurihara, Hiroaki
    Satomi, Kaishi
    Yoshida, Masayuki
    Kinoshita, Takayuki
    Suto, Akihiko
    MOLECULAR AND CLINICAL ONCOLOGY, 2022, 16 (02)
  • [29] Accuracy of MRI and ultrasonography in predicting pathologic complete response in breast cancer patients treated with neoadjuvant chemotherapy
    Hayashi, N.
    Tsunoda, H.
    Matsuda, N.
    Nakamura, S.
    Tsugawa, K.
    Akiyama, F.
    Takahashi, Y.
    Yoshida, A.
    Yagata, H.
    Suzuki, K.
    Yamauchi, H.
    CANCER RESEARCH, 2013, 73
  • [30] Can breast MRI and adjunctive Doppler ultrasound improve the accuracy of predicting pathological complete response after neoadjuvant chemotherapy?
    Kazuaki Nakashima
    Takayoshi Uematsu
    Taiyo L. Harada
    Kaoru Takahashi
    Seiichirou Nishimura
    Yukiko Tadokoro
    Tomomi Hayashi
    Junichiro Watanabe
    Takashi Sugino
    Akifumi Notsu
    Breast Cancer, 2021, 28 : 1120 - 1130