Literature DB >> 28755324

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

Christian Henker1, Thomas Kriesen2, Änne Glass3, Björn Schneider4, Jürgen Piek2.   

Abstract

The potential impact of different radiological features of glioblastoma multiforme (GBM) on overall survival (OS) like tumor volume, peritumoral edema (PTE), necrosis volume, necrosis-tumor ratio (NTR) and edema-tumor ratio (ETR) is still very controversial. To determine the influence of volumetric data on OS und to compare different measuring techniques described in literature. We prospectively evaluated preoperative MR images from 30 patients harboring a primary supratentorial GBM. All patients received gross-total tumor resection followed by standard radiation and chemotherapy (temozolomide). By 3D semi-automated segmentation, we measured tumor volume, necrosis volume, PTE, postoperative residual tumor volume and calculated ETR, NTR and the extent of resection. After critical review of the existing literature we compared alternative measuring techniques with the gold standard of 3D segmentation. Statistical analysis showed a significant impact of the preoperative tumor and necrosis volumes on OS (p = 0.041, respectively p = 0.039). Furthermore, NTR also showed a significant association with OS (p = 0.005). Comparison of previously described measuring techniques and scorings with our results showed that no other technique is reliable and accurate enough as a predictive tool. The critical review of previously published studies revealed mainly inaccurate measurement techniques and patient selection as potential reasons for inconsistent results. Preoperatively measured necrosis volume and NTR are the most important radiological features of GBM with a strong influence on OS. No other measuring techniques are specific enough and comparable with 3D segmentation.

Entities:  

Keywords:  Glioblastoma; Imaging; Prognostic factors; Survival; Volumetric quantification

Mesh:

Substances:

Year:  2017        PMID: 28755324     DOI: 10.1007/s11060-017-2587-5

Source DB:  PubMed          Journal:  J Neurooncol        ISSN: 0167-594X            Impact factor:   4.130


  41 in total

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Journal:  J Neurooncol       Date:  1996-01       Impact factor: 4.130

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Journal:  Lancet Oncol       Date:  2006-05       Impact factor: 41.316

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Journal:  J Surg Oncol       Date:  1999-12       Impact factor: 3.454

Review 4.  The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary.

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Journal:  Acta Neuropathol       Date:  2016-05-09       Impact factor: 17.088

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Journal:  Lancet Oncol       Date:  2009-03-09       Impact factor: 41.316

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Journal:  J Neurooncol       Date:  2008-11-15       Impact factor: 4.130

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Authors:  Pascal O Zinn; Bhanu Mahajan; Bhanu Majadan; Pratheesh Sathyan; Sanjay K Singh; Sadhan Majumder; Ferenc A Jolesz; Rivka R Colen
Journal:  PLoS One       Date:  2011-10-05       Impact factor: 3.240

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Authors:  Jian Chen; Yanjiao Li; Tzong-Shiue Yu; Renée M McKay; Dennis K Burns; Steven G Kernie; Luis F Parada
Journal:  Nature       Date:  2012-08-23       Impact factor: 49.962

10.  Histological Characterization of the Tumorigenic "Peri-Necrotic Niche" Harboring Quiescent Stem-Like Tumor Cells in Glioblastoma.

Authors:  Aya Ishii; Tokuhiro Kimura; Hirokazu Sadahiro; Hiroo Kawano; Keiyo Takubo; Michiyasu Suzuki; Eiji Ikeda
Journal:  PLoS One       Date:  2016-01-22       Impact factor: 3.240

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  13 in total

1.  Morphologic Features on MR Imaging Classify Multifocal Glioblastomas in Different Prognostic Groups.

Authors:  J Pérez-Beteta; D Molina-García; M Villena; M J Rodríguez; C Velásquez; J Martino; B Meléndez-Asensio; Á Rodríguez de Lope; R Morcillo; J M Sepúlveda; A Hernández-Laín; A Ramos; J A Barcia; P C Lara; D Albillo; A Revert; E Arana; V M Pérez-García
Journal:  AJNR Am J Neuroradiol       Date:  2019-03-28       Impact factor: 3.825

2.  Early EEG hyperexcitability is associated with decreased survival in newly diagnosed IDH-wildtype glioma.

Authors:  Steven Tobochnik; Emily Lapinskas; Jayne Vogelzang; Keith L Ligon; Jong Woo Lee
Journal:  J Neurooncol       Date:  2022-06-17       Impact factor: 4.506

3.  On the Prognosis of Multifocal Glioblastoma: An Evaluation Incorporating Volumetric MRI.

Authors:  Johannes Kasper; Nicole Hilbert; Tim Wende; Michael Karl Fehrenbach; Florian Wilhelmy; Katja Jähne; Clara Frydrychowicz; Gordian Hamerla; Jürgen Meixensberger; Felix Arlt
Journal:  Curr Oncol       Date:  2021-04-07       Impact factor: 3.677

4.  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

5.  Introduction to radiomics and radiogenomics in neuro-oncology: implications and challenges.

Authors:  Niha Beig; Kaustav Bera; Pallavi Tiwari
Journal:  Neurooncol Adv       Date:  2021-01-23

6.  Assessment of tumor hypoxia and perfusion in recurrent glioblastoma following bevacizumab failure using MRI and 18F-FMISO PET.

Authors:  Shiliang Huang; Joel E Michalek; David A Reardon; Patrick Y Wen; John R Floyd; Peter T Fox; Geoffrey D Clarke; Paul A Jerabek; Kathleen M Schmainda; Mark Muzi; Hyewon Hyun; Eudocia Quant Lee; Andrew J Brenner
Journal:  Sci Rep       Date:  2021-04-07       Impact factor: 4.379

7.  Comparison of Radiographic Approaches to Assess Treatment Response in Pituitary Adenomas: Is RECIST or RANO Good Enough?

Authors:  Brandon S Imber; Andrew L Lin; Zhigang Zhang; Krishna Nand Keshavamurthy; Amy Robin Deipolyi; Kathryn Beal; Marc A Cohen; Viviane Tabar; Lisa M DeAngelis; Eliza B Geer; T Jonathan Yang; Robert J Young
Journal:  J Endocr Soc       Date:  2019-07-02

8.  Preoperative Prediction Nomogram Based on Integrated Profiling for Glioblastoma Multiforme in Glioma Patients.

Authors:  Wei Wu; Zhong Deng; Wahafu Alafate; Yichang Wang; Jianyang Xiang; Lizhe Zhu; Bolin Li; Maode Wang; Jia Wang
Journal:  Front Oncol       Date:  2020-10-21       Impact factor: 6.244

9.  Quantitative MRI using relaxometry in malignant gliomas detects contrast enhancement in peritumoral oedema.

Authors:  I Blystad; J B M Warntjes; Ö Smedby; P Lundberg; E-M Larsson; A Tisell
Journal:  Sci Rep       Date:  2020-10-22       Impact factor: 4.379

Review 10.  Radiomics and radiogenomics in gliomas: a contemporary update.

Authors:  Prateek Prasanna; Vadim Spektor; Gagandeep Singh; Sunil Manjila; Nicole Sakla; Alan True; Amr H Wardeh; Niha Beig; Anatoliy Vaysberg; John Matthews
Journal:  Br J Cancer       Date:  2021-05-06       Impact factor: 7.640

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