Literature DB >> 15787648

The reliability and accuracy of intraoperative imprint cytology of sentinel lymph nodes in breast cancer.

A Pogacnik1, U Klopcic, S Grazio-Frković, J Zgajnar, M Hocevar, B Vidergar-Kralj.   

Abstract

OBJECTIVE: Sentinel lymph node (SLN) biopsy is a new component of the surgical treatment of breast cancer that accurately predicts axillary status. In this study the authors evaluated the accuracy of intraoperative imprint cytology (IC) in comparison with definitive histologic evaluation of SLN in breast cancer patients.
METHODS: A total 413 women with breast carcinoma and clinically negative axillary nodes underwent breast surgery and SLN biopsy. Mapping of SLN involved injection of (99m)Technecium labelled human albumin nanocolloid particles and Patent Blue dye. At the Department of Pathology, SLNs were bisected along its major axis. Both halves were imprinted 2-4 times on the slides and immediate staining with Hemacolor (Merck Germany) was performed for intraoperative examination. Imprint node negative women underwent no further surgery, while node positive women proceeded to full axillary clearance. Histological analysis of the SLN involved serial sectioning of the whole node with H&E and immunostaining for cytokeratin.
RESULTS: Definitive histology revealed metastases (pN+) in 159/413 patients (38.5%): 69 (16.7%) macro metastases, 57 (13.8%) micro metastases, and 33 (8%) women with only isolated IHC positive cells or positive cell groups smaller than 0.2 mm (pNO sn+). The other 254 women had negative SLN biopsy. Imprint cytology detected 54/69 macro metastases, and 4/57 micro metastases. In the group with negative SLN (254), 2 cases were ''false positives''.
CONCLUSIONS: Imprint of SLN biopsy can identify a negative axilla with high accuracy (specificity 99.2%). Overall sensitivity is only 36.5%, but macrometastases are detected in 77% which is important for performing ALDN in one session with operation of primary tumour.

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Year:  2005        PMID: 15787648     DOI: 10.1111/j.1365-2303.2004.00212.x

Source DB:  PubMed          Journal:  Cytopathology        ISSN: 0956-5507            Impact factor:   2.073


  6 in total

1.  Intraoperative assessment of sentinel node using imprint cytology.

Authors:  Dayalan Clarke; Edmund Leung; Naresh Chachlani; David Rowlands; Jayanthi Simon; Isabel Hero; David England
Journal:  World J Surg       Date:  2010-01       Impact factor: 3.352

2.  Axillary Lymph Node Evaluation Utilizing Convolutional Neural Networks Using MRI Dataset.

Authors:  Richard Ha; Peter Chang; Jenika Karcich; Simukayi Mutasa; Reza Fardanesh; Ralph T Wynn; Michael Z Liu; Sachin Jambawalikar
Journal:  J Digit Imaging       Date:  2018-12       Impact factor: 4.056

3.  A prospective feasibility trial to determine the significance of the sentinel node gradient in breast cancer: a predictor of nodal metastasis location.

Authors:  Richard J Bleicher; Martin J O'Sullivan; Vincenzo Ciocca; Robin M Ciocca; L Allen Perkins; Eric Ross; Tianyu Li; Arthur S Patchefsky; Elin R Sigurdson; Natalie E Joseph; Linda Sesa; Monica Morrow
Journal:  Cancer       Date:  2008-12-01       Impact factor: 6.860

4.  A prospective study comparing touch imprint cytology, frozen section analysis, and rapid cytokeratin immunostain for intraoperative evaluation of axillary sentinel lymph nodes in breast cancer.

Authors:  Savitri Krishnamurthy; Funda Meric-Bernstam; Anthony Lucci; Rosa F Hwang; Henry M Kuerer; Gildy Babiera; Fredrick C Ames; Barry W Feig; Merrick I Ross; Eva Singletary; Kelly K Hunt; Isabelle Bedrosian
Journal:  Cancer       Date:  2009-04-01       Impact factor: 6.860

5.  Imprint cytology versus frozen section analysis for intraoperative assessment of sentinel lymph node in breast cancer.

Authors:  Thalia Petropoulou; Antonia Kapoula; Aikaterini Mastoraki; Aikaterini Politi; Eleni Spanidou-Karvouni; Ioannis Psychogios; Ioannis Vassiliou; Nikolaos Arkadopoulos
Journal:  Breast Cancer (Dove Med Press)       Date:  2017-05-05

6.  Differentiation Between Benign and Metastatic Breast Lymph Nodes Using Apparent Diffusion Coefficients.

Authors:  Reza Fardanesh; Sunitha B Thakur; Varadan Sevilimedu; Joao V Horvat; Roberto Lo Gullo; Jeffrey S Reiner; Sarah Eskreis-Winkler; Nikita Thakur; Katja Pinker
Journal:  Front Oncol       Date:  2022-02-23       Impact factor: 6.244

  6 in total

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