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Computer-aided volumetric analysis as a sensitive tool for the management of incidental meningiomas

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Abstract

Introduction

Meningiomas are typically slow-growing lesions that, depending on the location, can be relatively benign. Knowing their exact rate of growth can be helpful in determining whether surgery is necessary.

Methods

In this study we retrospectively reviewed the meningioma practices of the two senior authors (JR, MR). Our goal was to measure meningioma growth using a variety of methods (linear using diameters, and volumetric using the computer-aided perimeter and cross-sectional diameter methods) to compare rates of growth among the methods. Of 295 meningioma patients seen over an 8-year period, we identified a cohort of 31 patients with at least 30 months of follow-up. Volumes were calculated using medical imaging software with T1 post-contrast magnetic resonance imaging. Doubling times and growth rates were calculated.

Results

Of the 31 patients, 26 (84%) were shown to have growing meningiomas. The perimeter methodology measured higher growth rates than the diameter method for both doubling times as well as percentage annual growth (p < 0.01). The mean doubling time was 13.4 years (range, 2.1–72.8 years) and 17.9 years (range, 4–92.3 years) comparing perimeter and diameter methods, respectively. The mean percentage of annual growth was 15.2% (range, 1.8–61.7%) and 5.6% (range, 0.7–12.2%), comparing perimeter and diameter methods, respectively. Linear growth was calculated at 0.7 mm/year.

Conclusion

Overall, we found that computer-aided perimeter methods showed a more accurate picture of tumor progression than traditional methods, which generally underestimated growth.

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References

  1. Abramovich CM, Prayson RA (1999) Histopathologic features and MIB-1-labeling indices in recurrent and non-recurrent meningiomas. Arch Pathol Lab Med 123(9):793–800

    PubMed  CAS  Google Scholar 

  2. Barbaro NM, Gutin PH, Wilson CB, Sheline GE, Boldrey EB, Wara WM (1987) Radiation therapy in the treatment of partially resected meningiomas. Neurosurgery 20(4):525–528

    Article  PubMed  CAS  Google Scholar 

  3. CBTRUS (2010). CBTRUS Statistical Report: Primary Brain and Central Nervous System Tumors Diagnosed in the United States in 2004-2006. Source: Central Brain Tumor Registry of the United States, Hinsdale, IL. website: www.cbtrus.org. accessed 9 Aug 2011

  4. Firsching RP, Fischer A, Peters R, Thun F, Klug N (1990) Growth rate of incidental meningiomas. J Neurosurg 73(4):545–547

    Article  PubMed  CAS  Google Scholar 

  5. Go RS, Taylor BV, Kimmel DW (1998) The natural history of asymptomatic meningiomas in Olmsted County, Minnesota. Neurology 51(6):1718–1720

    PubMed  CAS  Google Scholar 

  6. Goldsmith BJ, Wara WM, Wilson CB, Larson DA (1994) Postoperative irradiation for subtotally resected meningiomas: a retrospective analysis of 140 patients treated from 1967 to 1990. J Neurosurg 80(2):195–201

    Article  PubMed  CAS  Google Scholar 

  7. Hashiba T, Hashimoto N, Izumoto S, Suzuki T, Kagawa N, Maruno M, Kato A, Yoshimine T (2009) Serial volumetric assessment of the natural history and growth pattern of incidentally discovered meningiomas. J Neurosurg 110:675–684

    Article  PubMed  Google Scholar 

  8. Joe BN, Fukui MB, Meltzer CC, Huang QS, Day RS, Greer PJ, Bozik ME (1999) Brain tumor volume measurement: comparison of manual and semiautomated methods. Radiology 212(3):811–816

    PubMed  CAS  Google Scholar 

  9. Jung HW, Yoo H, Paek SH, Choi KS (2000) Long-term outcome and growth rate of subtotally resected petroclival meningiomas: experience with 38 cases. Neurosurgery 46(3):567–575

    Article  PubMed  CAS  Google Scholar 

  10. Kaus MR, Warfield SK, Nabavi A, Black PM, Jolsz FA, Kikinis R (2001) Automated segmentation of MR images of brain tumors. Radiology 218(2):586–591

    PubMed  CAS  Google Scholar 

  11. Kuratsu J, Kochi M, Ushio Y (2000) Incidence and clinical features of asymptomatic meningiomas. J Neurosurg 92(5):766–770

    Article  PubMed  CAS  Google Scholar 

  12. Langford LA, Cooksley CS, DeMonte F (1996) Comparison of MIB-1 (Ki-67) antigen and bromodeoxyuridine proliferation indices in meningiomas. Hum Pathol 27:350–354

    Article  PubMed  CAS  Google Scholar 

  13. Louis DN, Scheithauer BW, Budka H (2000) Meningiomas. In: Kleihues P, Cavenee WK (eds) WHO classification of tumours: pathology and genetics of tumours of the nervous system. IARC Press, Lyon, pp 176–184

    Google Scholar 

  14. Madsen C, Schroder HD (1997) Ki-67 immunoreactivity in meningiomas: determination of the proliferative potential of meningiomas using the monoclonal antibody Ki-67. Clin Neuropathol 16(3):137–142

    PubMed  CAS  Google Scholar 

  15. Maor MH (1996) Radiotherapy for meningiomas. J Neurooncol 29(3):261–267

    Article  PubMed  CAS  Google Scholar 

  16. Nakamura M, Roser F, Michel J, Jacobs C, Samii M (2003) The natural history of incidental meningiomas. Neurosurgery 53(1):62–71

    Article  PubMed  Google Scholar 

  17. Nakasu S, Fukami T, Nakajima M, Watanabe K, Ichikawa M, Matsuda M (2005) Growth pattern changes of meningiomas: long-term analysis. Neurosurgery 56(5):946–955

    PubMed  Google Scholar 

  18. Nakasu S, Hirano A, Shimura T, Llena JF (1987) Incidental meningiomas in autopsy study. Surg Neurol 27(4):319–322

    Article  PubMed  CAS  Google Scholar 

  19. Nakasu S, Li D-H, Okabe H, Nakajima M, Matsuda M (2004) Significance of MIB-1 staining indices in meningiomas: comparison of two counting methods. Am J Surg Pathol 25(4):472–478

    Article  Google Scholar 

  20. Nakasu S, Nakajima M, Matsumura K, Nakasu Y, Handa J (1995) Meningioma: proliferative potential and clinicoradiological features. Neurosurgery 37(6):1049–1055

    Article  PubMed  CAS  Google Scholar 

  21. Ohta M, Iwaki T, Kitamoto T, Takeshita I, Tateishi J, Fukui M (1994) MIB-1 staining index and scoring of histologic features in meningioma. Cancer 74(12):3176–3188

    Article  PubMed  CAS  Google Scholar 

  22. Olivero WC, Lister JR, Elwood PW (1995) The natural history and growth rate of asymptomatic meningiomas: a review of 60 patients. J Neurosurg 83(2):222–224

    Article  PubMed  CAS  Google Scholar 

  23. Perry A, Stafford SL, Scheithauer BW, Suman VJ, Lohse CM (1998) The prognostic significance of MIB-1, p52, and DNA flow cytometry in completely resected primary meningiomas. Cancer 82(11):2262–2269

    Article  PubMed  CAS  Google Scholar 

  24. Sorensen AG, Patel S, Harmath C, Bridges S, Synott J, Sievers A, Yoon YH, Lee EJ, Yang MC, Lewis RF, Harris GJ, Lev M, Schaefer PW, Buchbinder BR, Barest G, Yamada K, Ponzo J, Kwon HY, Gammete J, Farkas J, Tievsky AL, Ziegler RB, Salhus MR, Weisskoff R (2001) Comparison of diameter and perimeter methods for tumor volume calculation. J Clin Oncol 19(2):551–557

    PubMed  CAS  Google Scholar 

  25. Takahashi JA, Ueba T, Hashimoto N, Nakashima Y, Katsuki N (2004) The combination of mitotic and Ki-67 indices as a useful method for predicting short-term recurrences of meningiomas. Surg Neurol 61:139–155

    Article  Google Scholar 

  26. Heron M, Hoyert DL, Murphy SL, Xu J, Kochanek KD, Tejada-Vera B, Division of Vital Statistics (2009) Deaths: Final Data for 2006 National Vital Statistics Reports Volume 57, Number 14 website: http://www.cdc.gov/nchs/data/nvsr/nvsr57/nvsr57_14.pdf

  27. Yano S, Kuratsu J, the Kumamoto Brain Tumor Research Group (2006) Indications for surgery in patients with asymptomatic meningiomas based on an extensive experience. J Neurosurg 105(4):538–543

    Article  PubMed  Google Scholar 

  28. Yoneoka Y, Fujii Y, Tanaka R (2000) Growth of incidental meningiomas. Acta Neurochir (Wien) 142(2):507–511

    Article  CAS  Google Scholar 

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Correspondence to Victor Chang.

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Comment

The diameter of a meningioma doubles during MRI follow up - how much did the volume increase ? - correct answer: eight times !

The authors retrospectively reviewed the meningioma practices of two senior US neurosurgeons from 2000 to 2010, and out of the 295 meningioma patients identified 31 whose meningioma had been MR imaged at least twice with a minimum interval of 30 months. They calculated the volumes of the 31 meningiomas from the sequential T1 contrast images, using two methods:

1. Volume of an ovoid object = length x width x height / 2, using maximal cross-sectional diameters from axial images for width and length and coronal images for height.

2. Sum of volumes of each slice (slice area x slice thickness), using a semi-automated, user-assisted tumour volume software.

Then they calculated with both volume values:

a. Tumour volume doubling time = t x log2 / log (Vt / V0), where t is time between the initial volume V0 and the final volume Vt.

b. Tumour diameter growth mm per year, the difference between the final and initial diameters divided by the time interval, with diameter = 2 x volume / 3 from computed volumetry.

They found that the computed volumetry showed a more accurate picture of tumour progression, and that the ovoid object diameter method generally underestimated the growth.

A selection from already selected cases - yes, but that is not the point. Its easy to agree with the authors that the volume growth rate of meningioma - or any other sharply demarcated tumour - is an important factor in determining whether and when the tumour or its remnant should be resected or removed.

We elders are hopelessly diametrical when we scroll MR images at worst in the axial plane and at best in all three planes - even worse when we try to verify the re-growth of irregular remnants of previously resected meningiomas. But the young generation will have advanced 3D visualization and virtual graphics tools for quick comparative volumetry. And when so, it's also easy to conceive that near-future neuroradiology reports include volumes of sharp tumours - also in log volume growth curve plots when sequential imaging is available.

Juha E Jääskeläinen

Kuopio, Finland

Jääskeläinen J, Laasonen E, Kärkkäinen J, Haltia M, Troupp H. Hormone treatment of meningiomas: lack of response to medroxyprogesterone acetate (MPA). A pilot study of five cases. Acta Neurochir 1986;80:35-41

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Chang, V., Narang, J., Schultz, L. et al. Computer-aided volumetric analysis as a sensitive tool for the management of incidental meningiomas. Acta Neurochir 154, 589–597 (2012). https://doi.org/10.1007/s00701-012-1273-9

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  • DOI: https://doi.org/10.1007/s00701-012-1273-9

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