Visual Evaluation of Ultrafast MRI in the Assessment of Residual Breast Cancer after Neoadjuvant Systemic Therapy: A Preliminary Study Association with Subtype

被引:9
|
作者
Honda, Maya [1 ,2 ]
Kataoka, Masako [1 ]
Iima, Mami [1 ,3 ]
Ota, Rie [1 ]
Ohashi, Akane [4 ]
Kishimoto, Ayami Ohno [5 ]
Miyake, Kanae Kawai [1 ]
Nickel, Marcel Dominik [6 ]
Yamada, Yosuke [7 ]
Toi, Masakazu [8 ]
Nakamoto, Yuji [1 ]
机构
[1] Kyoto Univ, Dept Diagnost Imaging & Nucl Med, Grad Sch Med, 54 Shogoin Kawaharacho, Kyoto 6068507, Japan
[2] Kansai Elect Power Hosp, Dept Diagnost Radiol, 2-1-7 Fukushima, Osaka 5530003, Japan
[3] Kyoto Univ Hosp, Inst Adv Clin & Translat Sci iACT, 4 Shogoin Kawaharacho, Kyoto 6068507, Japan
[4] Lund Univ, Skane Univ Hosp, Dept Translat Med, Diagnost Radiol, S-20502 Malmo, Sweden
[5] Kyoto Katsura Hosp, Dept Diagnost Radiol, Yamadahirao Cho, Kyoto 6158256, Japan
[6] Siemens Healthcare GmbH, MR Applicat Predev, Allee Roethelheimpk 2, D-91052 Erlangen, Germany
[7] Kyoto Univ Hosp, Dept Diagnost Pathol, 54 Shogoin Kawaharacho, Kyoto 6068507, Japan
[8] Kyoto Univ, Dept Breast Surg, Grad Sch Med, 54 Shogoin Kawaharacho, Kyoto 6068507, Japan
关键词
breast neoplasm; magnetic resonance imaging; treatment; PATHOLOGICAL COMPLETE RESPONSE; CHEMOTHERAPY; SURGERY; TRIAL;
D O I
10.3390/tomography8030125
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
The purpose of this study was to investigate the diagnostic performance of ultrafast DCE (UF-DCE) MRI after the completion of neoadjuvant systemic therapy (NST) in breast cancer. In this study, MR examinations of 55 post-NST breast cancers were retrospectively analyzed. Residual tumor sizes were measured in the 20th phase of UF-DCE MRI, early and delayed phases of conventional DCE MRI, and high spatial-resolution CE MRI (UF, early, delayed, and HR, respectively). The diagnostic performance for the detection of residual invasive cancer was calculated by ROC analysis. The size difference between MRI and pathological findings was analyzed using the Wilcoxon signed-rank test with the Bonferroni correction. The overall AUC was highest for UF (0.86 and 0.88 for readers 1 and 2, respectively). The difference in imaging and pathological sizes for UF (5.7 +/- 8.2 mm) was significantly smaller than those for early, delayed, and HR (p < 0.01). For luminal subtype breast cancer, the size difference was significantly smaller for UF and early than for delayed (p < 0.01). UF-DCE MRI demonstrated higher AUC and specificity for the more accurate detection of residual cancer and the visualization of tumor extent than conventional DCE MRI.
引用
收藏
页码:1522 / 1533
页数:12
相关论文
共 50 条
  • [11] MRI evaluation of pathologically complete response and residual tumors in breast cancer after neoadjuvant chemotherapy
    Chen, Jeon Hor
    Feig, Lyon
    Agrawal, Garima
    Yu, Hon
    Carpenter, Philip M.
    Mehta, Rita S.
    Nalcioglu, Orhan
    Su, Min Ying
    CANCER, 2008, 112 (01) : 17 - 26
  • [12] Diagnostic Accuracy of MRI in Evaluating Response After Neoadjuvant Systemic Therapy in Operable Breast Cancer
    Khazindar, Abdullah R.
    Hashem, Dalia Abdulmonem L.
    Abusanad, Atlal
    Bakhsh, Salwa, I
    Bin Mahfouz, Alya
    El-Diasty, Mohamed T.
    CUREUS JOURNAL OF MEDICAL SCIENCE, 2021, 13 (06)
  • [13] The Role of MRI in Assessing Residual Breast Cancer After Neoadjuvant Chemotherapy
    Rezkallah, Emad
    Mekhaeil, Kamel
    Tin, Su Min Min
    Hanna, Ragai Sobhy
    AMERICAN SURGEON, 2024, 90 (02) : 238 - 244
  • [14] Accuracy of MRI in the detection of residual breast cancer after neoadjuvant chemotherapy
    Rosen, EL
    Blackwell, KL
    Baker, JA
    Soo, MS
    Bentley, RC
    Yu, DH
    Samulski, TV
    Dewhirst, MW
    AMERICAN JOURNAL OF ROENTGENOLOGY, 2003, 181 (05) : 1275 - 1282
  • [15] Biomarkers of residual disease after neoadjuvant therapy for breast cancer
    Penault-Llorca, Frederique
    Radosevic-Robin, Nina
    NATURE REVIEWS CLINICAL ONCOLOGY, 2016, 13 (08) : 487 - 503
  • [16] Biomarkers of residual disease after neoadjuvant therapy for breast cancer
    Frederique Penault-Llorca
    Nina Radosevic-Robin
    Nature Reviews Clinical Oncology, 2016, 13 : 487 - 503
  • [17] MRI Radiomics for Assessment of Molecular Subtype, Pathological Complete Response, and Residual Cancer Burden in Breast Cancer Patients Treated With Neoadjuvant Chemotherapy
    Choudhery, Sadia
    Gomez-Cardona, Daniel
    Favazza, Christopher P.
    Hoskin, Tanya L.
    Haddad, Tufia C.
    Goetz, Matthew P.
    Boughey, Judy C.
    ACADEMIC RADIOLOGY, 2022, 29 : S145 - S154
  • [18] Predicting axillary residual disease after neoadjuvant therapy in breast cancer using baseline MRI and ultrasound
    Malhaire, Caroline
    Umay, Ozgun
    Cockenpot, Vincent
    Selhane, Fatine
    Ramtohul, Toulsie
    Reyal, Fabien
    Pierga, Jean-Yves
    Romano, Emanuella
    Vincent-Salomon, Anne
    Kirova, Youlia
    Laas, Enora
    Brisse, Herve J.
    Frouin, Frederique
    EUROPEAN RADIOLOGY, 2025,
  • [19] Residual Tumor Cellularity Assessment of Breast Cancer After Neoadjuvant Therapy Using Image Transformer
    Hossain, M. D. Shakhawat
    Rahman, MD. Sahilur
    Ahmed, Munim
    Alfaz, Nazia
    Munira Shifat, Sirajum
    Mahbubul Syeed, M. M.
    Hussen, Mohammad Anowar
    Uddin, Mohammad Faisal
    IEEE ACCESS, 2024, 12 : 86083 - 86095
  • [20] Machine learning on MRI radiomic features: identification of molecular subtype alteration in breast cancer after neoadjuvant therapy
    Liu, Hai-Qing
    Lin, Si-Ying
    Song, Yi-Dong
    Mai, Si-Yao
    Yang, Yue-Dong
    Chen, Kai
    Wu, Zhuo
    Zhao, Hui-Ying
    EUROPEAN RADIOLOGY, 2023, 33 (04) : 2965 - 2974