Literature DB >> 223197

Prognostic significance of lesion size for glioblastoma multiforme.

G I Reeves, J E Marks.   

Abstract

From March 1974 to December 1976, 56 patients with glioblastoma multiforme had precraniotomy computed tomography (CT) scans from which the lesion size was determined by measuring the cross-sectional area. Thirty-two patients underwent surgery followed by irradiation, and 24 had surgery followed by irradiation and chemotherapy. There was no difference in survival between the 16 patients with small lesions and the 16 patients with large lesions in the surgery plus radiation alone group, nor in the 16 patients with small and 8 patients with large lesions in the surgery, radiation and chemotherapy group. Minimum follow-up was one year. Other possible prognostic factors including age, tumor grade, radiation dose, and performance status were comparable for each subgroup. Lesion size in glioblastoma multiforme appears unrelated to prognosis.

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Mesh:

Year:  1979        PMID: 223197     DOI: 10.1148/132.2.469

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  11 in total

1.  Prognostic significance of preoperative MRI scans in glioblastoma multiforme.

Authors:  M A Hammoud; R Sawaya; W Shi; P F Thall; N E Leeds
Journal:  J Neurooncol       Date:  1996-01       Impact factor: 4.130

Review 2.  Consensus recommendations for a standardized Brain Tumor Imaging Protocol in clinical trials.

Authors:  Benjamin M Ellingson; Martin Bendszus; Jerrold Boxerman; Daniel Barboriak; Bradley J Erickson; Marion Smits; Sarah J Nelson; Elizabeth Gerstner; Brian Alexander; Gregory Goldmacher; Wolfgang Wick; Michael Vogelbaum; Michael Weller; Evanthia Galanis; Jayashree Kalpathy-Cramer; Lalitha Shankar; Paula Jacobs; Whitney B Pope; Dewen Yang; Caroline Chung; Michael V Knopp; Soonme Cha; Martin J van den Bent; Susan Chang; W K Al Yung; Timothy F Cloughesy; Patrick Y Wen; Mark R Gilbert
Journal:  Neuro Oncol       Date:  2015-08-05       Impact factor: 12.300

3.  Measurement of tumor "size" in recurrent malignant glioma: 1D, 2D, or 3D?

Authors:  Mary F Dempsey; Barrie R Condon; Donald M Hadley
Journal:  AJNR Am J Neuroradiol       Date:  2005-04       Impact factor: 3.825

Review 4.  Volumetric quantification of glioblastoma: experiences with different measurement techniques and impact on survival.

Authors:  Christian Henker; Thomas Kriesen; Änne Glass; Björn Schneider; Jürgen Piek
Journal:  J Neurooncol       Date:  2017-07-28       Impact factor: 4.130

5.  Prognostic factors in recurrent glioblastoma multiforme and anaplastic astrocytoma treated with selective intra-arterial chemotherapy.

Authors:  K L Chow; Y P Gobin; T Cloughesy; J W Sayre; J P Villablanca; F Viñuela
Journal:  AJNR Am J Neuroradiol       Date:  2000-03       Impact factor: 3.825

Review 6.  Evidence and context of use for contrast enhancement as a surrogate of disease burden and treatment response in malignant glioma.

Authors:  Benjamin M Ellingson; Patrick Y Wen; Timothy F Cloughesy
Journal:  Neuro Oncol       Date:  2018-03-27       Impact factor: 12.300

7.  Influence of extent of surgery and tumor location on treatment outcome of patients with glioblastoma multiforme treated with combined modality approach.

Authors:  B Jeremic; D Grujicic; V Antunovic; L Djuric; M Stojanovic; Y Shibamoto
Journal:  J Neurooncol       Date:  1994       Impact factor: 4.130

8.  Deep learning for glioblastoma segmentation using preoperative magnetic resonance imaging identifies volumetric features associated with survival.

Authors:  Yizhou Wan; Roushanak Rahmat; Stephen J Price
Journal:  Acta Neurochir (Wien)       Date:  2020-07-13       Impact factor: 2.216

9.  Bevacizumab at first recurrence after standard radio-chemotherapy is associated with improved overall survival in glioblastoma patients with large tumor burden.

Authors:  Huy Tram Nguyen; Nhung Nguyen; Liang Yen Liu; Laura Dovek; Daniel Lenchner; Robert Harris; Byram Ozer; Arliene Ravelo; Nicolas Sommer; Myung Shin Sim; Robert Elashoff; Richard Green; Phioanh Leia Nghiemphu; Timothy Francis Cloughesy; Benjamin Ellingson; Albert Lai
Journal:  Neurooncol Pract       Date:  2018-09-20

10.  A mathematical modelling tool for predicting survival of individual patients following resection of glioblastoma: a proof of principle.

Authors:  K R Swanson; R C Rostomily; E C Alvord
Journal:  Br J Cancer       Date:  2007-12-04       Impact factor: 7.640

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