Skip to main content

Advertisement

Log in

Volumetric measurement of brain tumors from MR imaging

  • Published:
Journal of Neuro-Oncology Aims and scope Submit manuscript

Abstract

Residual tumor volume has been considered important in predicting survival following brain surgery. The purpose of this study was to develop a procedure for quantifying pre- and postsurgical brain tumor volumes that is less subjective than the traditional qualitative grading scale still used by surgeons and radiologists to assess extent of resection (such as gross total, subtotal, and partial resection). Pre- and postsurgical magnetic resonance (MR) imaging brain scans on GE Medical System optical disks were transferred to a Macintosh personal computer using a Pioneer optical disk drive subsystem, and the MedVision 1.41 computer software program was used to analyze regions of interest (ROIs) within them for computation of the volume of tumor tissue therein. Because this procedure puts the original MRI (or CT scan) data file for a patient directly into the personal computer, it bypasses the need for scanning and digitizing MR (or CT scan) film images. Between June 1993 and May 1996, pre- and postsurgical volumetric measurements were made in more than 1,000 brain tumor resection cases and 49 radiosurgery cases. The average intra-observer error was estimated to be 1.8%. This method should facilitate the examination of the effects of various therapies on extent of brain tumor resection. The method is fast, is more precise than intraoperative visual assessment of tumor removal or qualitative comparison of pre- and postoperative scans, and it allows the computation of pre- and postsurgical (three-dimensional) volumes of even irregularly shaped tumors.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Ammirati M, Vick N, Liao Y, Ciric I, Mikhael M: Effect of the extent of surgical resection on survival and quality of life in patients with supratentorial glioblastomas and anaplastic astrocytomas. Neurosurgery 21: 201–206., 1987

    Google Scholar 

  2. Duong DH, Rostomily RC, Haynor DR, Keles GE, Berger MS: Measurement of tumor resection volumes from computerized images. J Neurosurg 77: 151–154., 1992

    Google Scholar 

  3. Fadul C, Wood J, Thaler H, Galicich J, Patterson RH, Posner JB: Morbidity and mortality of craniotomy for excision of supratentorial gliomas. Neurology 38: 1374–1379., 1988

    Google Scholar 

  4. Friedlinger M, Schad LR, Blüml S, Tritsch B, Lorenz WJ: Rapid automatic brain volumetry on the basis of multispectral 3D MR imaging data on personal computers. Comput Med Imaging Graph 19: 185–205, 1995

    Google Scholar 

  5. Laws ER Jr, Taylor WF, Clifton MB, Okazaki H: Neurosurgical management of low-grade astrocytoma of the cerebral hemispheres. J Neurosurg 61: 665–673, 1984

    Google Scholar 

  6. MedVision User Manual 1–8. Evergreen Technologies Inc., Castine, ME, 1991, pp 2-28–2-48

  7. Sawaya R, Ligon BL, Bindal RK: Management of metastatic brain tumors. Ann Surg Oncol 1: 169–178, 1994

    Google Scholar 

  8. Shenton ME, Kikinis R, McCarley RW, Metcalf D, Tieman J, Jolesz FA: Application of automated MRI volumetric measurement techniques to the ventricular system in schizophrenics and normal controls. Schizophr Res 5: 103–113, 1991

    Google Scholar 

  9. Vecht CJ, Avezaat CJJ, van Putten WLJ, Eijkenboom WMH, Stefanko SZ: The influence of the extent of surgery on the neurological function and survival in malignant glioma: a retrospective analysis in 243 patients. J Neurol Neurosurg Psychiatry 53: 466–471, 1990

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Shi, WM., Wildrick, D.M. & Sawaya, R. Volumetric measurement of brain tumors from MR imaging. J Neurooncol 37, 87–93 (1998). https://doi.org/10.1023/A:1005944724470

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1005944724470

Navigation