Literature DB >> 20609586

Surgical specimen ultrasound: is it able to predict the status of resection margins after breast-conserving surgery?

Viviana Londero1, Chiara Zuiani, Myriam Panozzo, Anna Linda, Rossano Girometti, Massimo Bazzocchi.   

Abstract

PURPOSE: To evaluate the accuracy of surgical specimen ultrasound in the assessment of the status of resection margins after breast-conserving surgery. METHODS AND MATERIALS: Sonographic examination of 46 surgical specimens of US-detectable malignant tumors was performed. Distance of the lesion from the specimen margins in four radial directions was measured and compared with distances measured on pathologic examination. Positive pathologic margins were defined when invasive or intraductal carcinoma was found within 2 mm of the specimen margin. Sensitivity, specificity, positive(PPV) and negative predictive values(NPV) of US in predicting surgical margins were calculated, considering both a 10-mm and a 4-mm sonographic threshold.
RESULTS: Of 184 margins(4 per lesion), pathology demonstrated 28 positive and 156 negative margins. Considering the 10-mm cut-off, US identified 32 positive and 152 negative margins, showing the following sensitivity, specificity, PPV and NPV: 28.5%, 84.6%, 25% and 86.8%, respectively. Considering the 4-mm cut-off, US identified 7 positive and 177 negative margins, with a sensitivity of 7.1%, a specificity of 96.8%, a PPV of 28.2% and a NPV of 85.3%. False-negative results were more frequent in case of invasive lobular carcinoma (20%) and presence of intraductal component (60%).
CONCLUSION: Sonography demonstrated a poor performance in the evaluation of the status of resection margins in breast specimens; however, because of the high NPV -both with 10-mm and 4-mm thresholds- it might be helpful in confirming complete excision of a US-detected neoplasm and in ruling out the presence of macroscopic invasive ductal carcinoma at surgical margins.
Copyright © 2010. Published by Elsevier Ltd.

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Year:  2010        PMID: 20609586     DOI: 10.1016/j.breast.2010.06.001

Source DB:  PubMed          Journal:  Breast        ISSN: 0960-9776            Impact factor:   4.380


  7 in total

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Authors:  Pu-Sheng Zhang; Li-Kun Wang; Yun-Feng Luo; Fu-Jun Shi; Lin-Yun He; Cheng-Bing Zeng; Yu Zhang; Chi-Hua Fang
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2017-08-20

2.  Role of specimen US for predicting resection margin status in breast conserving therapy.

Authors:  M Moschetta; M Telegrafo; T Introna; L Coi; L Rella; V Ranieri; A Cirili; A A Stabile Ianora; G Angelelli
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3.  Intraoperative ultrasound control of surgical margins during partial nephrectomy.

Authors:  Feras M Alharbi; Charles K Chahwan; Sophie G Le Gal; Kerem M Guleryuz; Xavier P Tillou; Arnaud P Doerfler
Journal:  Urol Ann       Date:  2016 Oct-Dec

4.  Breast ultrasound: recommendations for information to women and referring physicians by the European Society of Breast Imaging.

Authors:  Andrew Evans; Rubina M Trimboli; Alexandra Athanasiou; Corinne Balleyguier; Pascal A Baltzer; Ulrich Bick; Julia Camps Herrero; Paola Clauser; Catherine Colin; Eleanor Cornford; Eva M Fallenberg; Michael H Fuchsjaeger; Fiona J Gilbert; Thomas H Helbich; Karen Kinkel; Sylvia H Heywang-Köbrunner; Christiane K Kuhl; Ritse M Mann; Laura Martincich; Pietro Panizza; Federica Pediconi; Ruud M Pijnappel; Katja Pinker; Sophia Zackrisson; Gabor Forrai; Francesco Sardanelli
Journal:  Insights Imaging       Date:  2018-08-09

Review 5.  Emerging Technologies for Real-Time Intraoperative Margin Assessment in Future Breast-Conserving Surgery.

Authors:  Ambara R Pradipta; Tomonori Tanei; Koji Morimoto; Kenzo Shimazu; Shinzaburo Noguchi; Katsunori Tanaka
Journal:  Adv Sci (Weinh)       Date:  2020-03-17       Impact factor: 16.806

6.  Finite Element Modeling of Quantitative Ultrasound Analysis of the Surgical Margin of Breast Tumor.

Authors:  Koushik Paul; Samuel Razmi; Barbara A Pockaj; Leila Ladani; Jeremy Stromer
Journal:  Tomography       Date:  2022-03-01

7.  Thin slice three dimentional (3D) reconstruction versus CT 3D reconstruction of human breast cancer.

Authors:  Yi Zhang; Yan Zhou; Xinhua Yang; Peng Tang; Quanguang Qiu; Yong Liang; Jun Jiang
Journal:  Indian J Med Res       Date:  2013-01       Impact factor: 2.375

  7 in total

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