Literature DB >> 23333457

A simplified CT-based definition of the supraclavicular and infraclavicular nodal volumes in breast cancer.

I Atean1, Y Pointreau, L Ouldamer, C Monghal, A Bougnoux, G Bera, I Barillot.   

Abstract

PURPOSE: The available contouring guidelines for the supraclavicular and infraclavicular lymph nodes appeared to be inadequate for their delineation on non-enhanced computed tomography (CT) scans. For this purpose, we developed delineation guidelines for the clinical target volumes (CTV) of these lymph nodes on non-enhanced CT-slices performed in the treatment position of breast cancer.
MATERIALS AND METHODS: A fresh female cadaver study as well as delineation and an anatomical descriptions review were performed to propose a simplified definition of the supra- and infraclavicular lymph nodes using readily identifiable anatomical structures. This definition was developed jointly by breast radiologists, breast surgeons, and radiation oncologists. To validate these guidelines, the primary investigator and seven radiation oncologists (observers) independently delineated 10 different nodal CTVs. The primary investigator contours were considered to be the gold standard contours. Contour accuracy and concordance were evaluated.
RESULTS: Written guidelines for the delineation of supra- and infraclavicular lymph nodes CTVs were developed. Consistent contours with minimal variability existed between the delineated volumes; the mean kappa index was 0.83. The mean common contoured and additional contoured volumes were 84.6% and 18.5%, respectively. The mean overlap volume ratio was 0.71.
CONCLUSIONS: Simplified CT-based atlas for delineation of the supra- and infraclavicular lymph nodes for locoregional irradiation of the breast on non-enhanced CT-scan, have been developed in this study. This atlas provides a consistent set of guidelines for delineating these volumes.
Copyright © 2012 Société française de radiothérapie oncologique (SFRO). Published by Elsevier SAS. All rights reserved.

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Year:  2013        PMID: 23333457     DOI: 10.1016/j.canrad.2012.11.007

Source DB:  PubMed          Journal:  Cancer Radiother        ISSN: 1278-3218            Impact factor:   1.018


  4 in total

1.  Geometric contour variation in clinical target volume of axillary lymph nodes in breast cancer radiotherapy: an AIRO multi-institutional study.

Authors:  Maria Cristina Leonardi; Matteo Pepa; Simone Giovanni Gugliandolo; Rosa Luraschi; Sabrina Vigorito; Damaris Patricia Rojas; Maria Rosa La Porta; Domenico Cante; Edoardo Petrucci; Lorenza Marino; Giuseppina Borzì; Edy Ippolito; Maristella Marrocco; Alessandra Huscher; Matteo Chieregato; Angela Argenone; Luciano Iadanza; Fiorenza De Rose; Francesca Lobefalo; Francesca Cucciarelli; Marco Valenti; Maria Carmen De Santis; Anna Cavallo; Francesca Rossi; Serenella Russo; Agnese Prisco; Marika Guernieri; Roberta Guarnaccia; Tiziana Malatesta; Ilaria Meaglia; Marco Liotta; Paola Tabarelli de Fatis; Isabella Palumbo; Marta Marcantonini; Sarah Pia Colangione; Emilio Mezzenga; Sara Falivene; Maria Mormile; Vincenzo Ravo; Cecilia Arrichiello; Alessandra Fozza; Maria Paola Barbero; Giovanni Battista Ivaldi; Gianpiero Catalano; Cristiana Vidali; Cynthia Aristei; Caterina Giannitto; Eleonora Miglietta; Antonella Ciabattoni; Icro Meattini; Roberto Orecchia; Federica Cattani; Barbara Alicja Jereczek-Fossa
Journal:  Br J Radiol       Date:  2021-04-21       Impact factor: 3.629

2.  Identification of risk factors and the pattern of lower cervical lymph node metastasis in esophageal cancer: implications for radiotherapy target delineation.

Authors:  Yijun Luo; Xiaoli Wang; Yuhui Liu; Chengang Wang; Yong Huang; Jinming Yu; Minghuan Li
Journal:  Oncotarget       Date:  2017-06-27

Review 3.  [Diagnostic imaging of malignant lymphomas].

Authors:  Theresa Mokry; Paul Flechsig; Sascha Dietrich; Tim F Weber
Journal:  Radiologe       Date:  2020-05       Impact factor: 0.635

4.  Determination of radiotherapeutic target zones for thoracic esophageal squamous cell cancer with lower cervical lymph node metastasis according to CT-images.

Authors:  Xingde Li; Jin Zhao; Ming Liu; Fushan Zhai; Zhengfei Zhu; Feng Yu; Mingyun Zhang; Lijie Han; Yue Zhao; Haiyan Wang
Journal:  Oncotarget       Date:  2016-06-14
  4 in total

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