Literature DB >> 28534430

Variability in axillary lymph node delineation for breast cancer radiotherapy in presence of guidelines on a multi-institutional platform.

Delia Ciardo1, Angela Argenone2, Genoveva Ionela Boboc3, Francesca Cucciarelli4, Fiorenza De Rose5, Maria Carmen De Santis6, Alessandra Huscher7, Edy Ippolito8, Maria Rosa La Porta9, Lorenza Marino10, Ilaria Meaglia11, Isabella Palumbo12, Francesca Rossi13, Paolo Alpi13, Mario Bignardi7, Alessio Bonanni14, Domenico Cante9, Tino Ceschia15, Letizia Fabbietti4, Marco Lupattelli12, Elisa Donatella Mantero6, Alessia Monaco3, Patrizia Porcu11, Vincenzo Ravo2, Sonia Silipigni8, Angelo Tozzi5, Vincenza Umina10, Dario Zerini1, Luigi Bordonaro10, Giorgia Capezzali4, Elena Clerici5,16, Sarah Pia Colangione1, Michela Dispinzieri6,16, Jessica Dognini3, Laura Donadoni7, Sara Falivene2, Alessandra Fozza9, Barbara Grilli13, Roberta Guarnaccia14, Eva Iannacone8, Valentina Lancellotta12, Agnese Prisco15, Rosalinda Ricotti1, Roberto Orecchia17,16, Barbara Alicja Jereczek-Fossa1,16, Maria Cristina Leonardi1.   

Abstract

AIM: To quantify the variability between radiation oncologists (ROs) when outlining axillary nodes in breast cancer.
MATERIAL AND METHODS: For each participating center, three ROs with different levels of expertise, i.e., junior (J), senior (S) and expert (E), contoured axillary nodal levels (L1, L2, L3 and L4) on the CT images of three different patients (P) of an increasing degree of anatomical complexity (from P1 to P2 to P3), according to contouring guidelines. Consensus contours were generated using the simultaneous truth and performance level estimation (STAPLE) method.
RESULTS: Fifteen centers and 42 ROs participated. Overall, the median Dice similarity coefficient was 0.66. Statistically significant differences were observed according to the level of expertise (better agreement for J and E, worse for S); the axillary level (better agreement for L1 and L4, worse for L3); the patient (better agreement for P1, worse for P3). Statistically significant differences in contouring were found in 18% of the inter-center comparison. Less than a half of the centers could claim to have a good agreement between the internal ROs.
CONCLUSIONS: The overall intra-institute and inter-institute agreement was moderate. Central lymph-node levels were the most critical and variability increased as the complexity of the patient's anatomy increased. These findings might have an effect on the interpretation of results from multicenter and even mono-institute studies.

Entities:  

Mesh:

Year:  2017        PMID: 28534430     DOI: 10.1080/0284186X.2017.1325004

Source DB:  PubMed          Journal:  Acta Oncol        ISSN: 0284-186X            Impact factor:   4.089


  5 in total

1.  Comparing four radiotherapy techniques for treating the chest wall plus levels III-IV draining nodes after breast reconstruction.

Authors:  Valentina Lancellotta; Martina Iacco; Elisabetta Perrucci; Lorenzo Falcinelli; Claudio Zucchetti; Berardino de Bari; Simonetta Saldi; Cynthia Aristei
Journal:  Br J Radiol       Date:  2018-03-19       Impact factor: 3.039

2.  Application of frozen Thiel-embalmed specimens for radiotherapy delineation guideline development: a method to create accurate MRI-enhanced CT datasets.

Authors:  Michael E J Stouthandel; Pim Pullens; Stephanie Bogaert; Max Schoepen; Carl Vangestel; Eric Achten; Liv Veldeman; Tom Van Hoof
Journal:  Strahlenther Onkol       Date:  2022-04-11       Impact factor: 4.033

3.  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

Review 4.  New classifications of axillary lymph nodes and their anatomical-clinical correlations in breast surgery.

Authors:  Roberto Cirocchi; Maria Ida Amabile; Alessandro De Luca; Federico Frusone; Domenico Tripodi; Patrizia Gentile; Renata Tabola; Daniele Pironi; Flavio Forte; Massimo Monti; Vito D'Andrea; Salvatore Sorrenti
Journal:  World J Surg Oncol       Date:  2021-03-29       Impact factor: 2.754

5.  The emerging role of radiation therapists in the contouring of organs at risk in radiotherapy: analysis of inter-observer variability with radiation oncologists for the chest and upper abdomen.

Authors:  Simona Arculeo; Eleonora Miglietta; Fabrizio Nava; Anna Morra; Maria Cristina Leonardi; Stefania Comi; Delia Ciardo; Massimo Sarra Fiore; Marianna Alessandra Gerardi; Matteo Pepa; Simone Giovanni Gugliandolo; Lorenzo Livi; Roberto Orecchia; Barbara Alicja Jereczek-Fossa; Samantha Dicuonzo
Journal:  Ecancermedicalscience       Date:  2020-01-06
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.