Literature DB >> 26350662

Comparison between Ultrasound and Pathologic Status of Axillary Lymph Nodes in Clinically Node-negative Breast Cancer Patients.

Amanda Bailey1, Ginger Layne, Cimmie Shahan, Jianjun Zhang, Siji Wen, Sarah Radis, Bryan Richmond, Jessica Partin, Hannah Hazard.   

Abstract

Sentinel lymph node biopsy (SLNB) is the standard of care for axillary staging in clinically node-negative breast cancer patients. Ultrasound (US) has shown promise when used to assess axillary lymph nodes preoperatively, thus aiding surgical decision making. We examined the correlation between preoperative US and SLNB results to further clarify the role of US in clinicopathologic staging of breast cancer when the axilla is clinically negative on physical examination. Our institutional cancer registry was used to identify clinically node-negative patients diagnosed with breast cancer from January 1, 2009 to December 31, 2012. Variables including age, body mass index, date of surgery, date of diagnosis, US results, US-directed biopsy results, SLNB results, and final pathology were recorded. Incomplete charts were excluded. In all, 249 patients were included. Sensitivity/specificity of US in the clinically negative axilla were 7.4 per cent and 91.8 per cent, respectively. The false-positive rate was 80 per cent, whereas the negative predictive value was 78 per cent. The effect of time from diagnosis/US to SLNB, interpreting radiologist, year in which US was performed, and body mass index were not statistically significant. US in the clinically node-negative patient, although useful when it leads to a positive needle biopsy result, is unlikely to replace SLNB owing to its low sensitivity and a high false-positive rate. Further prospective study into the role of US in the evaluation of the clinically negative axilla is warranted.

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Year:  2015        PMID: 26350662

Source DB:  PubMed          Journal:  Am Surg        ISSN: 0003-1348            Impact factor:   0.688


  5 in total

1.  Establishment of a model for predicting sentinel lymph node metastasis in early breast cancer based on contrast-enhanced ultrasound and clinicopathological features.

Authors:  Lina Wang; Juntao Li; Jianghua Qiao; Xiaoxia Guo; Xiaolin Bian; Lanwei Guo; Zhenzhen Liu; Zhenduo Lu
Journal:  Gland Surg       Date:  2021-05

2.  Determining Whether High Nodal Burden in Early Breast Cancer Patients Can Be Predicted Preoperatively to Avoid Sentinel Lymph Node Biopsy.

Authors:  Geok Hoon Lim; Sze Yiun Teo; John Carson Allen; Jubal Pallavi Chinthala; Lester Chee Hao Leong
Journal:  J Breast Cancer       Date:  2019-01-30       Impact factor: 3.588

3.  Non-invasive predictors of axillary lymph node burden in breast cancer: a single-institution retrospective analysis.

Authors:  Victoria Ngai; Justina Cheh Juan Tai; Saima Taj; Heba Khanfar; Elefterios Sfakianakis; Athanasios Bakalis; Rose Baker; Muneer Ahmed
Journal:  Breast Cancer Res Treat       Date:  2022-07-21       Impact factor: 4.624

4.  Proposal for a Histological Staging System of Mammary Carcinomas in Dogs and Cats. Part 1: Canine Mammary Carcinomas.

Authors:  Florian Chocteau; Jérôme Abadie; Delphine Loussouarn; Frédérique Nguyen
Journal:  Front Vet Sci       Date:  2019-11-07

5.  Deep Learning vs. Radiomics for Predicting Axillary Lymph Node Metastasis of Breast Cancer Using Ultrasound Images: Don't Forget the Peritumoral Region.

Authors:  Qiuchang Sun; Xiaona Lin; Yuanshen Zhao; Ling Li; Kai Yan; Dong Liang; Desheng Sun; Zhi-Cheng Li
Journal:  Front Oncol       Date:  2020-01-31       Impact factor: 6.244

  5 in total

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