Clinical significance of MSKCC nomogram on guiding the application of touch imprint cytology and frozen section in intraoperative assessment of breast sentinel lymph nodes-Reference-Cited by-同舟云学术

Clinical significance of MSKCC nomogram on guiding the application of touch imprint cytology and frozen section in intraoperative assessment of breast sentinel lymph nodes

Published:2017-04-27 Issue:44 Volume:8 Page:78105-78112
ISSN:1949-2553
Container-title:Oncotarget
language:en
Short-container-title:Oncotarget

Author:

Sun Lisha¹²,Chen Guanglei³,Zhou Yizhen¹,Zhang Lei¹,Jin Zining¹,Liu Weiguang¹,Wu Guangping⁴,Jin Feng¹,Li Kai²,Chen Bo¹

Affiliation:

1. Department of Breast Surgery, The First Hospital of China Medical University, Shenyang, China

2. Department of Surgical Oncology, The First Hospital of China Medical University, Shenyang, China

3. Department of Breast Disease and Reconstruction Center, Breast Cancer Key Laboratory of Dalian, The Second Hospital of Dalian Medical University, Dalian, China

4. Department of Pathology, The First Hospital of China Medical University, Shenyang, China

Publisher

Impact Journals, LLC

Subject

Oncology

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1. The diagnostic accuracy of touch imprint cytology for sentinel lymph node metastases of breast cancer: An up-to-date meta-analysis of 4,073 patients;Open Medicine;2023-01-01

2. A Systematic Review and Meta-analysis of Touch Imprint Cytology and Frozen Section Biopsy and Their Comparison for Evaluation of Sentinel Lymph Node in Breast Cancer;World Journal of Surgery;2022-10-30

3. Prospective Comparison of Intraoperative Touch Imprint Cytology and Frozen Section Histology on Axillary Sentinel Lymph Nodes in Early Breast Cancer Patients;Acta Cytologica;2020

4. Use of Memorial Sloan Kettering Cancer Center nomogram to guide intraoperative sentinel lymph node frozen sections in patients with early breast cancer;Journal of Surgical Oncology;2019-07-16

5. Classification of breast mass lesions on dynamic contrast-enhanced magnetic resonance imaging by a computer-assisted diagnosis system based on quantitative analysis;Oncology Letters;2019-01-09