Evolution and refinement of magnetically guided sentinel lymph node detection in breast cancer: meta-analysis

Author:

Pantiora Eirini12,Tasoulis Marios Konstantinos34,Valachis Antonios5,Eriksson Staffan67,Kühn Thorsten8ORCID,Karakatsanis Andreas12ORCID,Rubio Isabel T9ORCID

Affiliation:

1. Department for Surgical Sciences, Uppsala University , Uppsala , Sweden

2. Section for Breast Surgery, Department of Surgery, Uppsala University Hospital , Uppsala , Sweden

3. Breast Surgery Unit, Royal Marsden NHS Foundation Trust , London , UK

4. Division of Breast Cancer Research, Institute of Cancer Research , London , UK

5. Department of Oncology, Örebro University Hospital, School of Medicine, Örebro University , Örebro , Sweden

6. Section for Breast Surgery, Department of Surgery, Västmanland Hospital , Västerås , Sweden

7. Centre for Clinical Research, Uppsala University , Västerås , Sweden

8. Department of Gynaecology and Obstetrics, Interdisciplinary Breast Centre, Hospital Esslingen , Esslingen , Germany

9. Breast Surgical Unit, Clinica Universidad de Navarra, Cancer Centre University of Navarra , Madrid , Spain

Abstract

Abstract Background Superparamagnetic iron oxide nanoparticles (SPIO) have been used as a tracer for sentinel lymph node (SLN) localization in breast cancer, demonstrating comparable performance to the combination of radioisotope (RI) and blue dye (BD). Methods A systematic literature search and meta-analysis with subgroup and meta-regression analysis were undertaken to update the available evidence, assess technique evolution, and define knowledge gaps. Recommendations were made using the GRADE approach. Results In 20 comparative studies, the detection rate was 97.5 per cent for SPIO and 96.5 per cent for RI ± BD (risk ratio 1.006, 95 per cent c.i. 0.992 to 1.019; P = 0.376, high-certainty evidence). Neoadjuvant therapy, injection site, injection volume or nodal metastasis burden did not affect the detection rate, but injection over 24 h before surgery increased the detection rate on meta-regression. Concordance was 99.0 per cent and reverse concordance 97.1 per cent (rate difference 0.003, 95 per cent c.i. −0.009 to 0.015; P = 0.656, high-certainty evidence). Use of SPIO led to retrieval of slightly more SLNs (pooled mean 1.96 versus 1.89) with a higher nodal detection rate (94.1 versus 83.5 per cent; RR 1.098, 1.058 to 1.140; P < 0.001; low-certainty evidence). In meta-regression, injection over 24 h before surgery increased the SPIO nodal yield over that of RI ± BD. The skin-staining rate was 30.8 per cent (very low-certainty evidence), and possibly prevented with use of smaller doses and peritumoral injection. Conclusion The performance of SPIO is comparable to that of RI ± BD. Preoperative injection increases the detection rate and nodal yield, without affecting concordance. Whether skin staining and MRI artefacts are reduced by lower dose and peritumoral injection needs to be investigated.

Publisher

Oxford University Press (OUP)

Subject

Surgery

Reference55 articles.

1. Sentinel lymph node biopsy for patients with early-stage breast cancer: american society of clinical oncology clinical practice guideline update;Lyman;J Clin Oncol,2017

2. Novel techniques for sentinel lymph node biopsy in breast cancer: a systematic review;Ahmed;Lancet Oncol,2014

3. Sentinel node biopsy using a magnetic tracer versus standard technique: the SentiMAG multicentre trial;Douek;Ann Surg Oncol,2014

4. The central-European SentiMag study: sentinel lymph node biopsy with superparamagnetic iron oxide (SPIO) vs. radioisotope;Thill;Breast,2014

5. The superparamagnetic iron oxide is equivalent to the Tc99 radiotracer method for identifying the sentinel lymph node in breast cancer;Rubio;Eur J Surg Oncol,2015

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3