Literature DB >> 18820008

Long-term prognostic assessment of 185 newly diagnosed gliomas: Grade III glioma showed prognosis comparable to that of Grade II glioma.

Chie Shinohara1, Yoshihiro Muragaki, Takashi Maruyama, Satoru Shimizu, Masahiko Tanaka, Yuichi Kubota, Mitsuteru Oikawa, Ryoichi Nakamura, Hiroshi Iseki, Osami Kubo, Kintomo Takakura, Tomokatsu Hori.   

Abstract

OBJECTIVE: We evaluated the prognoses of newly diagnosed gliomas through WHO Grades II, III and IV to assess the overall tendency of treatment results for glioma in our institute. Furthermore, statistical analysis was performed to determine factors influencing the prognosis.
METHODS: A total of 185 newly diagnosed glioma patients were operated on from 2000 to 2006. The primary endpoint was the overall survival from the date of surgery. The factors assessed as to whether they influenced the prognosis were the WHO grades of sex, age, location of the lesion, pre-operative Karnofsky Performance Status (KPS), extent of resection and whether or not radiation therapy was performed.
RESULTS: The WHO grades influenced the survival significantly (P < 0.0001). The Grades II and III showed no statistically significant difference in survival (P = 0.174), whereas Grades III and IV showed a significant difference (P < 0.0001). The factor influencing survival as well as the grades was the KPS (P < 0.0001). The comparison of survival over WHO grades in the same KPS group was performed for 2 KPS groups (KPS = 100, KPS 80-90), and these also showed significant differences (P = 0.0009 and 0.0143, respectively).
CONCLUSIONS: Despite the different distributions of the KPS, the Grade III glioma patients showed survival comparable to that of the Grade II. On the other hand, the Grade IV glioma patients showed significantly poorer survival compared with Grade II or III.

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Year:  2008        PMID: 18820008     DOI: 10.1093/jjco/hyn099

Source DB:  PubMed          Journal:  Jpn J Clin Oncol        ISSN: 0368-2811            Impact factor:   3.019


  4 in total

1.  7-Tesla susceptibility-weighted imaging to assess the effects of radiotherapy on normal-appearing brain in patients with glioma.

Authors:  Janine M Lupo; Cynthia F Chuang; Susan M Chang; Igor J Barani; Bert Jimenez; Christopher P Hess; Sarah J Nelson
Journal:  Int J Radiat Oncol Biol Phys       Date:  2011-10-12       Impact factor: 7.038

2.  Usability of unbiased nonlocal means for de-noising intraoperative magnetic resonance images in neurosurgery.

Authors:  Takashi Mizukuchi; Masazumi Fujii; Yuichiro Hayashi; Masatoshi Tsuzaka
Journal:  Int J Comput Assist Radiol Surg       Date:  2014-01-07       Impact factor: 2.924

3.  Remote brain microhaemorrhages may predict haematoma in glioma patients treated with radiation therapy.

Authors:  Augustin Lecler; Frédérique Charbonneau; Dimitri Psimaras; Marie-Astrid Metten; Antoine Gueguen; Khe Hoang Xuan; Loic Feuvret; Julien Savatovsky
Journal:  Eur Radiol       Date:  2018-04-12       Impact factor: 5.315

4.  A Molecular Predictor Reassesses Classification of Human Grade II/III Gliomas.

Authors:  Thierry Rème; Jean-Philippe Hugnot; Ivan Bièche; Valérie Rigau; Fanny Burel-Vandenbos; Vincent Prévot; Marc Baroncini; Denys Fontaine; Hugues Chevassus; Sophie Vacher; Rosette Lidereau; Hugues Duffau; Luc Bauchet; Dominique Joubert
Journal:  PLoS One       Date:  2013-06-21       Impact factor: 3.240

  4 in total

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