Scottish Dementia Research Consortium Annual Conference 2021 Jun 16, 2021 10:00 AM - 03:30 PM — Virtual Meeting (online)
4th International Conference on Medical Imaging with Deep Learning Jul 07, 2021 - Jul 09, 2021 — Virtual Meeting (online)
Medical Imaging Convention [rescheduled] Sep 15, 2021 - Sep 16, 2021 — National Exhibition Centre, Birmingham, England
2021 SINAPSE ASM Sep 16, 2021 - Sep 17, 2021 — Technology & Innovation Centre, University of Strathclyde, 99 George Street, Glasgow
Total Body PET 2021 conference [rescheduled] Sep 25, 2021 - Sep 27, 2021 — McEwan Hall, University of Edinburgh

eLearning

SINAPSE experts from around Scotland have developed ten online modules designed to explain medical imaging. They are freely available and are intended for non-specialists.


Edinburgh Imaging Academy at the University of Edinburgh offers the following online programmes through a virtual learning environment:

Neuroimaging for Research MSc/Dip/Cert

Imaging MSc/Dip/Cert

PET-MR Principles & Applications Cert

Applied Medical Image Analysis Cert

Online Short Courses

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

Author(s): M. F. Dempsey, B. R. Condon, D. M. Hadley

Abstract:
BACKGROUND AND PURPOSE: Tumor "size" is used internationally as a surrogate marker for overall survival when following current response assessment protocols (World Health Organization and Response Evaluation Criteria in Solid Tumors). With little evidence of a relationship between tumor "size" and survival in intrinsic brain tumors, this study was undertaken to investigate the predictive value of MR imaging-defined tumor size for survival in patients with recurrent malignant glioma and to compare the different measures of tumor size used in these current response assessment protocols. METHODS: Volumetric, bidimensional, and unidimensional measurements of tumor size were made using baseline contrast-enhanced T1-weighted images of 70 patients with recurrent malignant glioma receiving intravenous chemotherapy. Cox's proportional hazards model was used to investigate the prognostic importance of tumor size using survival as the end point. Further statistical analysis was undertaken to investigate the relationship between the different measurement techniques. RESULTS: Only the volumetric measurement of tumor size was found to be predictive of survival in recurrent malignant glioma on both univariate and multivariate analysis. Furthermore, analysis demonstrated that the unidimensional and bidimensional measures of tumor were not comparable with the more accurate and direct volumetric measurement. CONCLUSION. Indirect unidimensional and bidimensional measurement techniques do not have a significant association with overall survival or adequately assess tumor size in recurrent malignant glioma. These findings have serious implications about the validity of using current response assessment protocols in therapy trials for recurrent malignant glioma.

Full version: Available here

Click the link to go to an external website with the full version of the paper


ISBN: 0195-6108
Publication Year: 2005
Periodical: American Journal of Neuroradiology
Periodical Number: 4
Volume: 26
Pages: 770-776
Author Address: