Literature DB >> 25589151

Prospective trial of breast MRI versus 2D and 3D ultrasound for evaluation of response to neoadjuvant chemotherapy.

Marie Catherine Lee1, Segundo Jaime Gonzalez, Huiyi Lin, Xiuhua Zhao, John V Kiluk, Christine Laronga, Blaise Mooney.   

Abstract

BACKGROUND: Preoperative imaging to assess response to neoadjuvant chemotherapy in breast cancer is routine but no single imaging modality is standard of practice. Our hypothesis is that ultrasound (US) is comparable to magnetic resonance imaging (MRI) in the prediction of residual disease.
METHODS: A single-institution, Institutional Review Board-approved prospective trial of primary invasive ductal breast cancer patients receiving neoadjuvant chemotherapy enrolled women from 2008 to 2012. Two-dimensional (2D) and three-dimensional (3D) US, as well as MRI images of pre- and post-neoadjuvant tumors were obtained. Skin involvement or inadequate images were excluded. Residual tumor on imaging was compared with surgical pathology. Differences of tumor volume on imaging and pathology were compared using the non-parametric Wilcoxon signed-rank test. US to MRI agreement was determined by the kappa coefficient. Tumor volumes in estrogen receptor (ER), progesterone receptor (PR), and Her2neu subgroups were compared using the Kruskal-Wallis test. ER/PR staining <5 % was considered negative; Her2neu status was determined by in situ hybridization.
RESULTS: Forty-two patients were enrolled in the study; 39 had evaluable post-treatment data. Four patients were Her2neu positive, and 17 (46 %) patients had triple-negative tumors. Among 11 (28 %) patients with pathologic complete response (pCR), US correctly predicted pCR in six (54.5 %) patients compared with eight (72.7 %) patients when MRI was used. This is a substantial agreement between US and MRI in predicting pCR (kappa = 0.62). There was no difference between 2D and 3D US modalities. For the 39 patients, US and MRI had no significant difference in volume estimation of pathology, even stratified by receptor status.
CONCLUSION: The estimation of residual breast tumor volume by US and MRI achieves similar results, including prediction of pCR.

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Year:  2015        PMID: 25589151     DOI: 10.1245/s10434-014-4357-3

Source DB:  PubMed          Journal:  Ann Surg Oncol        ISSN: 1068-9265            Impact factor:   5.344


  9 in total

1.  Multivariable Models Based on Baseline Imaging Features and Clinicopathological Characteristics to Predict Breast Pathologic Response after Neoadjuvant Chemotherapy in Patients with Breast Cancer.

Authors:  Peixian Chen; Chuan Wang; Ruiliang Lu; Ruilin Pan; Lewei Zhu; Dan Zhou; Guolin Ye
Journal:  Breast Care (Basel)       Date:  2021-12-23       Impact factor: 2.268

2.  Is Clinical Exam of the Axilla Sufficient to Select Node-Positive Patients Who Downstage After NAC for SLNB? A Comparison of the Accuracy of Clinical Exam Versus MRI.

Authors:  Tracy-Ann Moo; Maxine S Jochelson; Emily C Zabor; Michelle Stempel; Monica Raiss; Anita Mamtani; Audree B Tadros; Mahmoud El-Tamer; Monica Morrow
Journal:  Ann Surg Oncol       Date:  2019-10-03       Impact factor: 5.344

3.  The diagnostic performance of CESM and CE-MRI in evaluating the pathological response to neoadjuvant therapy in breast cancer: a systematic review and meta-analysis.

Authors:  Sudan Tang; Chunhong Xiang; Quan Yang
Journal:  Br J Radiol       Date:  2020-07-02       Impact factor: 3.039

4.  Magnetic Resonance Imaging after Completion of Neoadjuvant Chemotherapy Can Accurately Discriminate between No Residual Carcinoma and Residual Ductal Carcinoma In Situ in Patients with Triple-Negative Breast Cancer.

Authors:  Seho Park; Jung Hyun Yoon; Joohyuk Sohn; Hyung Seok Park; Hee Jung Moon; Min Jung Kim; Eun-Kyung Kim; Seung Il Kim; Byeong-Woo Park
Journal:  PLoS One       Date:  2016-02-11       Impact factor: 3.240

5.  Accuracy of axillary ultrasound after different neoadjuvant chemotherapy cycles in breast cancer patients.

Authors:  Bei-Bei Ye; Hong-Meng Zhao; Yue Yu; Jie Ge; Xin Wang; Xu-Chen Cao
Journal:  Oncotarget       Date:  2017-05-30

6.  Tumor growth rate of invasive breast cancers during wait times for surgery assessed by ultrasonography.

Authors:  Su Hyun Lee; Young-Seon Kim; Wonshik Han; Han Suk Ryu; Jung Min Chang; Nariya Cho; Woo Kyung Moon
Journal:  Medicine (Baltimore)       Date:  2016-09       Impact factor: 1.889

7.  Management of the axilla with sentinel lymph node biopsy after neoadjuvant chemotherapy for breast cancer: A single-center study.

Authors:  Suleyman Ozkan Aksoy; Ali İbrahim Sevinc; Mücahit Ünal; Pinar Balci; İlknur Bilkay Görkem; Merih Guray Durak; Ozden Ozer; Recep Bekiş; Büşra Emir
Journal:  Medicine (Baltimore)       Date:  2020-12-04       Impact factor: 1.889

8.  Early Prediction of Breast Cancer Recurrence for Patients Treated with Neoadjuvant Chemotherapy: A Transfer Learning Approach on DCE-MRIs.

Authors:  Maria Colomba Comes; Daniele La Forgia; Vittorio Didonna; Annarita Fanizzi; Francesco Giotta; Agnese Latorre; Eugenio Martinelli; Arianna Mencattini; Angelo Virgilio Paradiso; Pasquale Tamborra; Antonella Terenzio; Alfredo Zito; Vito Lorusso; Raffaella Massafra
Journal:  Cancers (Basel)       Date:  2021-05-11       Impact factor: 6.639

Review 9.  Role of Ultrasound and Photoacoustic Imaging in Photodynamic Therapy for Cancer.

Authors:  Scott C Hester; Maju Kuriakose; Christopher D Nguyen; Srivalleesha Mallidi
Journal:  Photochem Photobiol       Date:  2020-03-05       Impact factor: 3.521

  9 in total

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