Literature DB >> 16523809

A pilot study of brain tumour growth between radiotherapy planning and delivery.

C Pennington1, L Kilbride, R Grant, J M Wardlaw.   

Abstract

AIMS: Delays between surgery and the delivery of radiotherapy may allow brain tumours to grow beyond the planned radiotherapy fields and therefore reduce the effectiveness of radiotherapy. This pilot study aimed to ascertain whether significant growth of brain tumours occurs between post-biopsy imaging and the start of radiotherapy.
MATERIALS AND METHODS: Two estimates of tumour volume were obtained from contrast-enhanced magnetic resonance images obtained within 3 days of surgical debulking/biopsy (postoperative), and shortly before starting radiotherapy (pre-radiotherapy). The postoperative and pre-radiotherapy volumes were compared to assess tumour growth and expansion of the tumour margin. The enhancing tumour volume was measured on a workstation using two methods: tracing the area of the lesion on each slice on which it appeared and summing the volume in each slice, and by measuring the largest diameters in three planes. The ease of use and intra-operator variability of the two methods were compared.
RESULTS: The median time between postoperative and pre-radiotherapy scans was 31.5 days (range 15-53 days). Both methods found that statistically significant tumour growth occurred between postoperative and pre-radiotherapy imaging. The tumour area method found median postoperative volume of 42,849 mm3 (range 4843-148,047 mm3), and median pre-radiotherapy volume of 49,382 mm3 (range 9327-150,850 mm3) and a median growth of 35.07% (range 0-105%). The enhancing tumour margin on the pre-radiotherapy scan overlapped the margin of the postoperative scan by a maximum of 20 mm. Our study found that the diameter method gave lower estimates of tumour growth than the area method. The diameter method was inaccurate when tumours were small or irregularly shaped.
CONCLUSION: As a 2-3 cm margin is usually included around the tumour when planning radiotherapy, it seems unlikely that the visible tumour actually grew outwith the planned radiotherapy fields. However, cells beyond the tumour margin visible on imaging could be outside the planned radiotherapy field. This paper highlights difficulties in determining the most appropriate time for baseline radiotherapy planning imaging to be carried out.

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Year:  2006        PMID: 16523809     DOI: 10.1016/j.clon.2005.09.004

Source DB:  PubMed          Journal:  Clin Oncol (R Coll Radiol)        ISSN: 0936-6555            Impact factor:   4.126


  13 in total

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Authors:  P Farace; M G Giri; G Meliadò; D Amelio; L Widesott; G K Ricciardi; S Dall'Oglio; A Rizzotti; A Sbarbati; A Beltramello; S Maluta; M Amichetti
Journal:  Br J Radiol       Date:  2010-11-02       Impact factor: 3.039

2.  Tumor regrowth between surgery and initiation of adjuvant therapy in patients with newly diagnosed glioblastoma.

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3.  Impact of interim progression during the surgery-to-radiotherapy interval and its predictors in glioblastoma treated with temozolomide-based radiochemotherapy.

Authors:  Chan Woo Wee; Eunji Kim; Tae Min Kim; Chul-Kee Park; Jin Wook Kim; Seung Hong Choi; Roh-Eul Yoo; Soon-Tae Lee; Il Han Kim
Journal:  J Neurooncol       Date:  2017-05-25       Impact factor: 4.130

4.  Growth dynamics of untreated glioblastomas in vivo.

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5.  Incidence and extent of disease progression on MRI between surgery and initiation of radiotherapy in glioblastoma patients.

Authors:  Ryan D Kraus; Christopher R Weil; Fan-Chi Frances Su; Donald M Cannon; Lindsay M Burt; Joe S Mendez
Journal:  Neurooncol Pract       Date:  2022-05-26

6.  Immediate post-operative brachytherapy prior to irradiation and temozolomide for newly diagnosed glioblastoma.

Authors:  J Dawn Waters; Brent Rose; David D Gonda; Daniel J Scanderbeg; Michelle Russell; John F Alksne; Kevin Murphy; Bob S Carter; Joshua Lawson; Clark C Chen
Journal:  J Neurooncol       Date:  2013-05-15       Impact factor: 4.130

7.  Early MRI changes in glioblastoma in the period between surgery and adjuvant therapy.

Authors:  Paolo Farace; Dante Amelio; Giuseppe K Ricciardi; Giada Zoccatelli; Stefano Magon; Francesca Pizzini; Franco Alessandrini; Andrea Sbarbati; Maurizio Amichetti; Alberto Beltramello
Journal:  J Neurooncol       Date:  2012-12-22       Impact factor: 4.130

8.  Identifying radiotherapy target volumes in brain cancer by image analysis.

Authors:  Kun Cheng; Dean Montgomery; Yang Feng; Robin Steel; Hanqing Liao; Duncan B McLaren; Sara C Erridge; Stephen McLaughlin; William H Nailon
Journal:  Healthc Technol Lett       Date:  2015-10-02

9.  Early postoperative tumor progression predicts clinical outcome in glioblastoma-implication for clinical trials.

Authors:  Andreas Merkel; Dorothea Soeldner; Christina Wendl; Dilek Urkan; Joji B Kuramatsu; Corinna Seliger; Martin Proescholdt; Ilker Y Eyupoglu; Peter Hau; Martin Uhl
Journal:  J Neurooncol       Date:  2017-01-18       Impact factor: 4.130

10.  Reconstructed Metabolic Network Models Predict Flux-Level Metabolic Reprogramming in Glioblastoma.

Authors:  Emrah Özcan; Tunahan Çakır
Journal:  Front Neurosci       Date:  2016-04-18       Impact factor: 4.677

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