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Chen ST, Lai HW, Chang JHM, Liao CY, Wen TC, Wu WP, Wu HK, Lin YJ, Chang YJ, Chen ST, Chen DR, Huang HI, Hung CL. Diagnostic accuracy of pre-operative breast magnetic resonance imaging (MRI) in predicting axillary lymph node metastasis: variations in intrinsic subtypes, and strategy to improve negative predictive value-an analysis of 2473 invasive breast cancer patients. Breast Cancer 2023; 30:976-985. [PMID: 37500823 PMCID: PMC10587219 DOI: 10.1007/s12282-023-01488-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 07/18/2023] [Indexed: 07/29/2023]
Abstract
BACKGROUND The value and utility of axillary lymph node (ALN) evaluation with MRI in breast cancer were not clear for various intrinsic subtypes. The aim of the current study is to test the potential of combining breast MRI and clinicopathologic factors to identify low-risk groups of ALN metastasis and improve diagnostic performance. MATERIAL AND METHODS Patients with primary operable invasive breast cancer with pre-operative breast MRI and post-operative pathologic reports were retrospectively collected from January 2009 to December 2021 in a single institute. The concordance of MRI and pathology of ALN status were determined, and also analyzed in different intrinsic subtypes. A stepwise strategy was designed to improve MRI-negative predictive value (NPV) on ALN metastasis. RESULTS 2473 patients were enrolled. The diagnostic performance of MRI in detecting metastatic ALN was significantly different between intrinsic subtypes (p = 0.007). Multivariate analysis identified tumor size and histologic type as independent predictive factors of ALN metastases. Patients with HER-2 (MRI tumor size ≤ 2 cm), or TNBC (MRI tumor size ≤ 2 cm) were found to have MRI-ALN-NPV higher than 90%, and these false cases were limited to low axillary tumor burden. CONCLUSION The diagnostic performance of MRI to predict ALN metastasis varied according to the intrinsic subtype. Combined pre-operative clinicopathologic factors and intrinsic subtypes may increase ALN MRI NPV, and further identify some groups of patients with low risks of ALN metastasis, high NPV, and low burdens of axillary disease even in false-negative cases.
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Affiliation(s)
- Shu-Tian Chen
- Department of Diagnostic Radiology, Chang Gung Memorial Hospital - Chiayi Branch, Chiayi, Taiwan
- Institute of Biomedical Informatics, National Yang Ming Chiao Tung University, No.155, Sec. 2, Linong St., Beitou Dist., Taipei, 11221, Taiwan
| | - Hung-Wen Lai
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
- Endoscopy and Oncoplastic Breast Surgery Center, Changhua Christian Hospital, 135 Nanxiao Street, Changhua, 500, Taiwan.
- Division of General Surgery, Changhua Christian Hospital, Changhua, Taiwan.
- Comprehensive Breast Cancer Center, Changhua Christian Hospital, Changhua, Taiwan.
- Tumor Center, Changhua Christian Hospital, Changhua, Taiwan.
- Kaohsiung Medical University, Kaohsiung, Taiwan.
- Division of Breast Surgery, Yuanlin Christian Hospital, Yuanlin, Taiwan.
- School of Medicine, Chung Shan Medical University, Taichung, Taiwan.
| | | | - Chiung-Ying Liao
- Department of Radiology, Changhua Christian Hospital, Changhua, Taiwan
| | - Tzu-Cheng Wen
- Endoscopy and Oncoplastic Breast Surgery Center, Changhua Christian Hospital, 135 Nanxiao Street, Changhua, 500, Taiwan
| | - Wen-Pei Wu
- Department of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Department of Radiology, Changhua Christian Hospital, Changhua, Taiwan
- Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Hwa-Koon Wu
- Department of Radiology, Changhua Christian Hospital, Changhua, Taiwan
| | - Ying-Jen Lin
- Tumor Center, Changhua Christian Hospital, Changhua, Taiwan
| | - Yu-Jun Chang
- Big Data Center, Changhua Christian Hospital, Changhua, Taiwan
| | - Shou-Tung Chen
- Division of General Surgery, Changhua Christian Hospital, Changhua, Taiwan
- Comprehensive Breast Cancer Center, Changhua Christian Hospital, Changhua, Taiwan
| | - Dar-Ren Chen
- Division of General Surgery, Changhua Christian Hospital, Changhua, Taiwan
- Comprehensive Breast Cancer Center, Changhua Christian Hospital, Changhua, Taiwan
| | - Hsin-I Huang
- Department of Information Management, National Sun Yat-Sen University, Kaohsiung, Taiwan
- We-Sing Breast Hospital, Kaohsiung, Taiwan
| | - Che-Lun Hung
- Institute of Biomedical Informatics, National Yang Ming Chiao Tung University, No.155, Sec. 2, Linong St., Beitou Dist., Taipei, 11221, Taiwan.
- Department of Computer Science and Communication Engineering, Providence University, Taichung, Taiwan.
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Wu WP, Lai HW, Liao CY, Lin J, Huang HI, Chen ST, Chou CT, Chen DR. Use of Magnetic Resonance Imaging for Evaluating Residual Breast Tissue After Robotic-Assisted Nipple-Sparing Mastectomy in Women With Early Breast Cancer. Korean J Radiol 2023; 24:640-646. [PMID: 37404106 DOI: 10.3348/kjr.2022.0708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 04/03/2023] [Accepted: 05/17/2023] [Indexed: 07/06/2023] Open
Abstract
OBJECTIVE Prospective studies on postoperative residual breast tissue (RBT) after robotic-assisted nipple-sparing mastectomy (R-NSM) for breast cancer are limited. RBT presents an unknown risk of local recurrence or the development of new cancer after curative or risk-reducing mastectomies. This study investigated the technical feasibility of using magnetic resonance imaging (MRI) to evaluate RBT after R-NSM in women with breast cancer. MATERIALS AND METHODS In this prospective pilot study, 105 patients, who underwent R-NSM for breast cancer at Changhua Christian Hospital between March 2017 and May 2022, were subjected to postoperative breast MRI to evaluate the presence and location of RBT. The postoperative MRI scans of 43 patients (age, 47.8 ± 8.5 years), with existing preoperative MRI scans, were evaluated for the presence and location of RBT. In total, 54 R-NSM procedures were performed. In parallel, we reviewed the literature on RBT after nipple-sparing mastectomy, considering its prevalence. RESULTS RBT was detected in 7 (13.0%) of the 54 mastectomies (6 of the 48 therapeutic mastectomies and 1 of the 6 prophylactic mastectomies). The most common location for RBT was behind the nipple-areolar complex (5 of 7 [71.4%]). Another RBT was found in the upper inner quadrant (2 of 7 [28.6%]). Among the six patients who underwent RBT after therapeutic mastectomies, one patient developed a local recurrence of the skin flap. The other five patients with RBT after therapeutic mastectomies remained disease-free. CONCLUSION R-NSM, a surgical innovation, does not seem to increase the prevalence of RBT, and breast MRI showed feasibility as a noninvasive imaging tool for evaluating the presence and location of RBT.
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Affiliation(s)
- Wen-Pei Wu
- Department of Radiology, Changhua Christian Hospital, Changhua, Taiwan
- Department of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Hung-Wen Lai
- Kaohsiung Medical University, Kaohsiung, Taiwan
- Division of General Surgery, Changhua Christian Hospital, Changhua, Taiwan
- Comprehensive Breast Cancer Center, Changhua Christian Hospital, Changhua, Taiwan
- Endoscopic and Oncoplastic Breast Surgery Center, Changhua Christian Hospital, Changhua, Taiwan
- Minimally Invasive Surgery Research Center, Changhua Christian Hospital, Changhua, Taiwan
- Division of Breast Surgery, Yuanlin Christian Hospital, Yuanlin, Taiwan
- School of Medicine, Chung Shan Medical University, Taichung, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
| | - Chiung-Ying Liao
- Department of Radiology, Changhua Christian Hospital, Changhua, Taiwan
| | - Joseph Lin
- Division of General Surgery, Changhua Christian Hospital, Changhua, Taiwan
- Comprehensive Breast Cancer Center, Changhua Christian Hospital, Changhua, Taiwan
| | - Hsin-I Huang
- Department of Information Management, National Sun Yat-sen University, Kaohsiung, Taiwan
- We-Sing Breast Hospital, Kaohsiung, Taiwan
| | - Shou-Tung Chen
- Division of General Surgery, Changhua Christian Hospital, Changhua, Taiwan
- Comprehensive Breast Cancer Center, Changhua Christian Hospital, Changhua, Taiwan
| | - Chen-Te Chou
- Department of Radiology, Changhua Christian Hospital, Changhua, Taiwan
- Department of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Dar-Ren Chen
- Division of General Surgery, Changhua Christian Hospital, Changhua, Taiwan
- Comprehensive Breast Cancer Center, Changhua Christian Hospital, Changhua, Taiwan
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Accuracy of breast MRI in patients receiving neoadjuvant endocrine therapy: comprehensive imaging analysis and correlation with clinical and pathological assessments. Breast Cancer Res Treat 2020; 184:407-420. [PMID: 32789592 PMCID: PMC7599143 DOI: 10.1007/s10549-020-05852-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Accepted: 07/31/2020] [Indexed: 11/05/2022]
Abstract
Purpose To assess the accuracy of magnetic resonance imaging (MRI) measurements in locally advanced oestrogen receptor-positive and human epidermal growth factor receptor 2-negative breast tumours before, during and after neoadjuvant endocrine treatment (NET) for evaluation of tumour response in comparison with clinical and pathological assessments. Methods This prospective study enrolled postmenopausal patients treated neoadjuvant with letrozole and exemestane given sequentially in an intra-patient cross-over regimen. Fifty-four patients were initially recruited, but only 35 fulfilled the inclusion criteria and confirmed to participate with a median age of 77. Tumours were scanned with MRI prior to treatment, during the eighth week of treatment and prior to surgery. Additionally, changes in longest diameter on clinical examination (CE) and tumour size at pathology were determined. Pre- and post-operative measurements of tumour size were compared in order to evaluate tumour response. Results The correlation between post-treatment MRI size and pathology was moderate and higher with a correlation coefficient (r) 0.64 compared to the correlation between CE and pathology r = 0.25. Post-treatment MRI and clinical results had a negligible bias towards underestimation of lesion size. Tumour size on MRI and CE had 0.82 cm and 0.52 cm lower mean size than tumour size measured by pathology, respectively. Conclusions The higher correlation between measurements of residual disease obtained on MRI and those obtained with pathology validates the accuracy of imaging assessment during NET. MRI was found to be more accurate for estimating complete responses than clinical assessments and warrants further investigation in larger cohorts to validate this finding. Electronic supplementary material The online version of this article (10.1007/s10549-020-05852-7) contains supplementary material, which is available to authorized users.
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Jones EF, Hathi DK, Freimanis R, Mukhtar RA, Chien AJ, Esserman LJ, van’t Veer LJ, Joe BN, Hylton NM. Current Landscape of Breast Cancer Imaging and Potential Quantitative Imaging Markers of Response in ER-Positive Breast Cancers Treated with Neoadjuvant Therapy. Cancers (Basel) 2020; 12:E1511. [PMID: 32527022 PMCID: PMC7352259 DOI: 10.3390/cancers12061511] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Revised: 06/03/2020] [Accepted: 06/05/2020] [Indexed: 12/24/2022] Open
Abstract
In recent years, neoadjuvant treatment trials have shown that breast cancer subtypes identified on the basis of genomic and/or molecular signatures exhibit different response rates and recurrence outcomes, with the implication that subtype-specific treatment approaches are needed. Estrogen receptor-positive (ER+) breast cancers present a unique set of challenges for determining optimal neoadjuvant treatment approaches. There is increased recognition that not all ER+ breast cancers benefit from chemotherapy, and that there may be a subset of ER+ breast cancers that can be treated effectively using endocrine therapies alone. With this uncertainty, there is a need to improve the assessment and to optimize the treatment of ER+ breast cancers. While pathology-based markers offer a snapshot of tumor response to neoadjuvant therapy, non-invasive imaging of the ER disease in response to treatment would provide broader insights into tumor heterogeneity, ER biology, and the timing of surrogate endpoint measurements. In this review, we provide an overview of the current landscape of breast imaging in neoadjuvant studies and highlight the technological advances in each imaging modality. We then further examine some potential imaging markers for neoadjuvant treatment response in ER+ breast cancers.
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Affiliation(s)
- Ella F. Jones
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94115, USA; (D.K.H.); (R.F.); (B.N.J.); (N.M.H.)
| | - Deep K. Hathi
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94115, USA; (D.K.H.); (R.F.); (B.N.J.); (N.M.H.)
| | - Rita Freimanis
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94115, USA; (D.K.H.); (R.F.); (B.N.J.); (N.M.H.)
| | - Rita A. Mukhtar
- Department of Surgery, University of California, San Francisco, CA 94115, USA;
| | - A. Jo Chien
- School of Medicine, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA 94115, USA; (A.J.C.); (L.J.v.V.)
| | - Laura J. Esserman
- Department of Surgery, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA 94115, USA;
| | - Laura J. van’t Veer
- School of Medicine, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA 94115, USA; (A.J.C.); (L.J.v.V.)
| | - Bonnie N. Joe
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94115, USA; (D.K.H.); (R.F.); (B.N.J.); (N.M.H.)
| | - Nola M. Hylton
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94115, USA; (D.K.H.); (R.F.); (B.N.J.); (N.M.H.)
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Correction: Higher underestimation of tumour size post-neoadjuvant chemotherapy with breast magnetic resonance imaging (MRI)-A concordance comparison cohort analysis. PLoS One 2020; 15:e0233532. [PMID: 32407368 PMCID: PMC7224522 DOI: 10.1371/journal.pone.0233532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
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