Literature DB >> 3027609

Regrowth patterns of supratentorial gliomas: estimation from computed tomographic scans.

K Tsuboi, Y Yoshii, K Nakagawa, Y Maki.   

Abstract

To clarify the regrowth patterns of benign and malignant gliomas, we chose 27 intervals (between two operations or between an operation and autopsy) from 21 patients with pathologically verified recurrent supratentorial gliomas. Serial computed tomographic (CT) scans of these cases were analyzed to determine the doubling time (Td) calculated from the change in volume of enhanced and low density areas, the enhancement effect graded from 0 to 4 according to the Hounsfield number, and the presence of dissemination and contralateral extension. We studied 5 benign gliomas (including 1 case of radiation necrosis), 8 malignant astrocytomas, and 8 glioblastomas. The Td's of enhanced areas on CT scans of benign gliomas, malignant astrocytomas, and glioblastomas were 937 +/- 66.5 days, 65.1 +/- 29.4 days, and 48.1 +/- 20.9 days, respectively. The Td's of low density areas were 895 +/- 130.6 days, 70.8 +/- 22.2 days, and 50.5 +/- 14.7 days. There was a significant correlation between the Td's of the enhanced and low density areas (0.97). The enhancement effect increased at recurrence in 55% of the cases, with an average increase of 1.1 grades. The increase in enhancement effect at recurrence showed a tendency to become smaller as the tumor's degree of anaplasia increased. Radiotherapy was effective in significantly retarding the growth rate of malignant gliomas, whose Td's were doubled. Although the Td's of both enhanced and low density areas of benign gliomas were significantly longer than those of malignant gliomas, there was no significant difference in the Td's of enhanced areas between malignant astrocytomas and glioblastomas.(ABSTRACT TRUNCATED AT 250 WORDS)

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Year:  1986        PMID: 3027609     DOI: 10.1227/00006123-198612000-00008

Source DB:  PubMed          Journal:  Neurosurgery        ISSN: 0148-396X            Impact factor:   4.654


  5 in total

1.  Impact of imaging measurements on response assessment in glioblastoma clinical trials.

Authors:  David A Reardon; Karla V Ballman; Jan C Buckner; Susan M Chang; Benjamin M Ellingson
Journal:  Neuro Oncol       Date:  2014-10       Impact factor: 12.300

2.  Glioblastoma resection: in search of a threshold between worthwhile and futile.

Authors:  Ole Solheim; Sasha Gulati; Asgeir Store Jakola
Journal:  Neuro Oncol       Date:  2014-04       Impact factor: 12.300

3.  Growth dynamics of untreated glioblastomas in vivo.

Authors:  Anne Line Stensjøen; Ole Solheim; Kjell Arne Kvistad; Asta K Håberg; Øyvind Salvesen; Erik Magnus Berntsen
Journal:  Neuro Oncol       Date:  2015-03-10       Impact factor: 12.300

4.  Neuroimaging classification of progression patterns in glioblastoma: a systematic review.

Authors:  Rory J Piper; Keerthi K Senthil; Jiun-Lin Yan; Stephen J Price
Journal:  J Neurooncol       Date:  2018-03-30       Impact factor: 4.130

5.  Genetic Alteration May Proceed with a Histological Change in Glioblastoma: A Report from Initially Diagnosed as Nontumor Lesion Cases.

Authors:  Hayato Takeuchi; Yoshinobu Takahashi; Seisuke Tanigawa; Takanari Okamoto; Yoshinori Kodama; Yukiko Shishido-Hara; Ema Yoshioka; Tomoko Shofuda; Yonehiro Kanemura; Eiichi Konishi; Naoya Hashimoto
Journal:  NMC Case Rep J       Date:  2022-07-08
  5 in total

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