Glioblastoma treated with postoperative radio-chemotherapy: Prognostic value of apparent diffusion coefficient at MR imaging

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Abstract

Purpose

To retrospectively evaluate whether the mean, minimum, and maximum apparent diffusion coefficient (ADC) of glioblastomas obtained from pretreatment MR images is of prognostic value in patients with glioblastoma.

Materials and methods

The institutional review board approved our study and waived the requirement for informed patient consent. Between February 1998 and January 2006, 33 patients (24 males, 9 females; age range 10–76 years) with supratentorial glioblastoma underwent pretreatment magnetic resonance (MR) imaging. The values of the mean, minimum, and maximum ADC (ADCmean, ADCMIN, and ADCMAX, respectively) of each tumor were preoperatively determined from several regions of interest defined in the tumors. After surgical intervention, all patients underwent irradiation and chemotherapy performed according to our hospital protocol. The patient age, symptom duration, Karnofsky performance scale score, extent of surgery, and ADC were assessed using factor analysis of overall survival. Prognostic factors were evaluated using Kaplan–Meier survival curves, the log-rank test, and multiple regression analysis with the Cox proportional hazards model.

Results

Likelihood ratio tests confirmed that ADCMIN was the strongest among the three prognostic factors. Total surgical removal was the most important predictive factor for overall survival (P < 0.01). ADCMIN was also statistically correlated with overall survival (P < 0.05) and could be used to classify patients into different prognostic groups. Interestingly, ADCMIN was also the strongest prognostic factor (P < 0.01) in the group of patients in whom total tumor removal was not possible.

Conclusion

The ADCMIN value obtained from pretreatment MR images is a useful clinical prognostic biomarker in patients with glioblastoma.

Introduction

Glioblastoma is the most common malignant primary neoplasm of the central nervous system; median survival is approximately 1 year [1], [2]. Conventional magnetic resonance imaging (MRI) can yield information on the gross anatomic structure of glioblastoma, but it provides little functional information. Diffusion-weighted (DW) MRI enables the volumetric intravoxel measurement of tissue characteristics based on the detection of changes in the random motion of water protons at the cellular or physiological level [3]. Although the usefulness of DW-MRI for preoperative grading and postoperative assessment of glial tumors has been investigated [4], [5], [6], [7], its value for predicting survival has not been fully addressed [8], [9], [10]. Because the apparent diffusion coefficient (ADC) is inversely related to tumor cellularity and the glioma grade [4], [6], [11], [12], [13], [14], we postulated that it reflects the biological viability and prognosis of glioblastomas. We therefore analyzed the ADC with respect to the surgical resection status and compared the mean, minimum, and maximum ADC (ADCmean, ADCMIN, and ADCMAX, respectively) values as factors reflecting biological activity. We performed a retrospective study to determine whether these values obtained on preoperative MRI scans are of prognostic value in patients with glioblastoma. We discovered that the ADCMIN value is a prognostic factor for survival in patients with glioblastomas that are not totally resectable.

Section snippets

Materials and methods

The institutional review board of our hospital approved this retrospective study and waived the requirement for informed patient consent. Patient information was kept confidential by removing all identifiers from our records at the completion of our analyses.

Patients, diagnosis and treatment

Between February 1998 and January 2006, 49 patients (29 males, 20 females) with histologically confirmed supratentorial glioblastoma were treated at our institution. Of these, 16 were excluded from this study for reasons such as incomplete MRI, progression from anaplastic or low-grade glioma, infratentorial tumors, and incomplete- or no postoperative irradiation or chemotherapy. The remaining 33 patients (24 males, 9 females; age range 10–76 years) with new, histologically confirmed

MRI study and image interpretation

All MRI scans were performed using a 1.5-T superconducting system (Signa Horizon; GE Medical Systems, Milwaukee, WI, USA) with a circularly polarized head coil. All patients underwent MRI studies that included at least unenhanced and contrast-enhanced transverse T1-weighted-, unenhanced transverse T2-weighted-, unenhanced transverse fluid-attenuated inversion-recovery (FLAIR)-, and unenhanced transverse DW images. The transverse T1-weighted spin–echo MR sequence was performed using the

Statistical analyses

Survival was measured from the time of operation to the time of death or last follow-up (range, 3.6–54.4 months; median, 16.6 months). Of the 33 patients, 6 were alive at the time of the latest follow-up. We used the median of ADCmean, ADCMIN, and ADCMAX as the cutoff value. We also applied a categorization cutoff of 1.0 × 10−3 mm2/s because earlier studies used this value [4], [10]. We analyzed the relationship between patient survival and prognostic factors determined from clinical and MRI data.

Patient characteristics and imaging

The patients ranged in age from 10 to 76 years (mean ± standard deviation (S.D.): 57.3 ± 16.3; median 62). The KPS scores were 30 and 50 in 1 patient each, 60 and 70 in 4 each, 80 in 11, 90 in 9, and 100 in 3 patients. Surgery consisted of biopsy (n = 6), partial- (n = 12), subtotal- (n = 8), and total (n = 7) tumor removal. The ADCmean of all tumors ranged from 0.716 × 10−3 to 1.389 × 10−3 mm2/s (mean ± S.D. 1.070 ± 0.141 × 10−3 mm2/s; median 1.066 × 10−3 mm2/s). The ADCMIN ranged from 0.676 × 10−3 to 1.260 × 10−3 mm2/s (mean

Discussion

Our results suggest that the ADC value of tumors, obtained from preoperative MRI scans, represents a prognostic factor in patients with glioblastoma. Although ADCmean, ADCMIN, and ADCMAX were statistically significant prognostic factors in our patients, we confirmed that ADCMIN was the most sensitive predictive factor for the overall survival of these patients. Others [9], [10] who assessed the value of the ADC for predicting the prognosis of patients with malignant astrocytic tumors used ADCMIN

Conclusions

The ADCMIN value of tumors obtained from preoperative MR images is a useful clinical prognostic biomarker for overall survival in patients with glioblastoma. Patients whose tumors have a low minimum ADC (≤1.0 × 10−3 mm2/s) may have a poor prognosis, especially when the tumor cannot be completely resected. Thus, pretreatment DW-MRI and calculating the ADC values may be helpful for planning therapy in patients with glioblastoma.

Conflicts of interest

None.

References (21)

  • A. Behin et al.

    Primary brain tumours in adults

    Lancet

    (2003)
  • O. Kitis et al.

    Minimum apparent diffusion coefficients in the evaluation of brain tumors

    Eur J Radiol

    (2005)
  • O. Abe et al.

    Normal aging in the central nervous system: quantitative MR diffusion-tensor analysis

    Neurobiol Aging

    (2002)
  • L.M. DeAngelis

    Brain tumors

    N Engl J Med

    (2001)
  • R.D. Tien et al.

    MR imaging of high-grade cerebral gliomas: value of diffusion-weighted echoplanar pulse sequences

    AJR Am J Roentgenol

    (1994)
  • F. Yamasaki et al.

    Apparent diffusion coefficient of human brain tumors at MR imaging

    Radiology

    (2005)
  • N. Bulakbasi et al.

    The added value of the apparent diffusion coefficient calculation to magnetic resonance imaging in the differentiation and grading of malignant brain tumors

    J Comput Assist Tomogr

    (2004)
  • K. Kono et al.

    The role of diffusion-weighted imaging in patients with brain tumors

    AJNR Am J Neuroradiol

    (2001)
  • J. Oh et al.

    Survival analysis in patients with glioblastoma multiforme: predictive value of choline-to-N-acetylaspartate index, apparent diffusion coefficient, and relative cerebral blood volume

    J Magn Reson Imaging

    (2004)
  • S. Higano et al.

    Malignant astrocytic tumors: clinical importance of apparent diffusion coefficient in prediction of grade and prognosis

    Radiology

    (2006)
There are more references available in the full text version of this article.

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