Literature DB >> 29548560

The EPTN consensus-based atlas for CT- and MR-based contouring in neuro-oncology.

Daniëlle Bp Eekers1, Lieke In 't Ven2, Erik Roelofs3, Alida Postma4, Claire Alapetite5, Neil G Burnet6, Valentin Calugaru7, Inge Compter2, Ida E M Coremans8, Morton Høyer9, Maarten Lambrecht10, Petra Witt Nyström11, Alejandra Méndez Romero12, Frank Paulsen13, Ana Perpar14, Dirk de Ruysscher15, Laurette Renard16, Beate Timmermann17, Pavel Vitek18, Damien C Weber19, Hiske L van der Weide20, Gillian A Whitfield21, Ruud Wiggenraad22, Esther G C Troost23.   

Abstract

PURPOSE: To create a digital, online atlas for organs at risk (OAR) delineation in neuro-oncology based on high-quality computed tomography (CT) and magnetic resonance (MR) imaging.
METHODS: CT and 3 Tesla (3T) MR images (slice thickness 1 mm with intravenous contrast agent) were obtained from the same patient and subsequently fused. In addition, a 7T MR without intravenous contrast agent was obtained from a healthy volunteer. Based on discussion between experienced radiation oncologists, the clinically relevant organs at risk (OARs) to be included in the atlas for neuro-oncology were determined, excluding typical head and neck OARs previously published. The draft atlas was delineated by a senior radiation oncologist, 2 residents in radiation oncology, and a senior neuro-radiologist incorporating relevant available literature. The proposed atlas was then critically reviewed and discussed by European radiation oncologists until consensus was reached.
RESULTS: The online atlas includes one CT-scan at two different window settings and one MR scan (3T) showing the OARs in axial, coronal and sagittal view. This manuscript presents the three-dimensional descriptions of the fifteen consensus OARs for neuro-oncology. Among these is a new OAR relevant for neuro-cognition, the posterior cerebellum (illustrated on 7T MR images).
CONCLUSION: In order to decrease inter- and intra-observer variability in delineating OARs relevant for neuro-oncology and thus derive consistent dosimetric data, we propose this atlas to be used in photon and particle therapy. The atlas is available online at www.cancerdata.org and will be updated whenever required.
Copyright © 2017 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Atlas for neuro-oncology; European Particle Therapy Network; Organs at risk; Particle therapy

Mesh:

Year:  2018        PMID: 29548560     DOI: 10.1016/j.radonc.2017.12.013

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  15 in total

Review 1.  Treatment planning for proton therapy: what is needed in the next 10 years?

Authors:  Hakan Nystrom; Maria Fuglsang Jensen; Petra Witt Nystrom
Journal:  Br J Radiol       Date:  2019-08-07       Impact factor: 3.039

2.  Radiation dose to circumscribed brain regions and neurocognitive function in patients with meningioma.

Authors:  Angela Sekely; Derek S Tsang; Donald Mabbott; Paul Kongkham; Gelareh Zadeh; Konstantine K Zakzanis; Kim Edelstein
Journal:  Neurooncol Pract       Date:  2022-02-19

3.  Unusual visual and olfactory perceptions during radiotherapy sessions: an investigation of the organs responsible.

Authors:  N Hara; A Isobe; K Yamada; Y Kosugi; M Oshima; T Kawamoto; N Shikama; K Sasai
Journal:  J Radiat Res       Date:  2021-07-10       Impact factor: 2.724

4.  The posterior cerebellum, a new organ at risk?

Authors:  Daniëlle B P Eekers; Lieke In 't Ven; Sabine Deprez; Linda Jacobi; Erik Roelofs; Ann Hoeben; Philippe Lambin; Dirk de Ruysscher; Esther G C Troost
Journal:  Clin Transl Radiat Oncol       Date:  2017-11-23

5.  Hippocampus segmentation in CT using deep learning: impact of MR versus CT-based training contours.

Authors:  Annika Hänsch; Jan Hendrik Moltz; Benjamin Geisler; Christiane Engel; Jan Klein; Angelo Genghi; Jan Schreier; Tomasz Morgas; Benjamin Haas
Journal:  J Med Imaging (Bellingham)       Date:  2020-11-11

6.  Estimation of planning organ at risk volumes for ocular structures in dogs undergoing three-dimensional image-guided periocular radiotherapy with rigid bite block immobilization.

Authors:  Friederike Wolf; Carla Rohrer Bley; Jürgen Besserer; Valeria Meier
Journal:  Vet Radiol Ultrasound       Date:  2021-01-18       Impact factor: 1.363

7.  Optimizing Adjuvant Stereotactic Radiotherapy of Motor-Eloquent Brain Metastases: Sparing the nTMS-Defined Motor Cortex and the Hippocampus.

Authors:  Yvonne Dzierma; Michaela Schuermann; Patrick Melchior; Frank Nuesken; Joachim Oertel; Christian Rübe; Philipp Hendrix
Journal:  Front Oncol       Date:  2021-02-26       Impact factor: 6.244

8.  The ROCOCO performance scoring system translates dosimetric differences into clinically relevant endpoints: Comparing IMPT to VMAT in an example pilocytic astrocytoma dataset.

Authors:  Lieke In 't Ven; Erik Roelofs; Macarena Cubillos Mesías; Inge Compter; Yvonne L B Klaver; Robert Jan Smeenk; Geert O Janssens; Johannes H A M Kaanders; Raquel Davila Fajardo; Foppe Oldenburger; Dirk de Ruysscher; Esther G C Troost; Daniëlle B P Eekers
Journal:  Clin Transl Radiat Oncol       Date:  2021-02-22

9.  Postsurgical geometrical variations of tumor bed and brainstem during photon and proton therapy for pediatric tumors of the posterior fossa: dosimetric impact and predictive factors.

Authors:  Stefania Volpe; Pierre-Yves Bondiau; Line Claude; Audrey Claren; Laetitia Padovani; Hamza AlGhamdi; Gwenaëlle Duhil De Benaze; Lucas Opitz; Guillaume Baudin; Catherine Dejean; Daniel Maneval; Barbara Alicja Jereczek-Fossa; Jérôme Doyen
Journal:  Strahlenther Onkol       Date:  2021-08-05       Impact factor: 3.621

Review 10.  Particle therapy in Europe.

Authors:  Cai Grau; Marco Durante; Dietmar Georg; Johannes A Langendijk; Damien C Weber
Journal:  Mol Oncol       Date:  2020-04-22       Impact factor: 7.449

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