intracranial avms: comparison of volumes generated from orthogonal measurements and integrated 3d...

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Intracranial AVMs: Comparison of volumes generated from orthogonal measurements and integrated 3D analysis Faiz I Syed MD MS 1 , Lubomir Hadjiiski PhD 1 , Aditya S Pandey MD 2 , Heang-Ping Chan PhD 1 , Ashok Srinivasan MD 1 Poster #: EP-62 artment of Radiology, University of Michigan artment of Neurosurgery, University of Michigan ct: Faiz I. Syed, [email protected]

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Intracranial AVMs: Comparison of volumes generated from

orthogonal measurements and integrated 3D analysis

Faiz I Syed MD MS1, Lubomir Hadjiiski PhD1, Aditya S Pandey MD2, Heang-

Ping Chan PhD1, Ashok Srinivasan MD1

Poster #: EP-62

1 Department of Radiology, University of Michigan2 Department of Neurosurgery, University of MichiganContact: Faiz I. Syed, [email protected]

Disclosures: None

Purpose

• Intracranial AVM volume estimation is important for– guiding therapeutic options– monitoring treated lesions

• Volume estimation based on orthogonal measurements is commonly used

Purpose

• The purpose of this study was to compare the intracranial AVM volumes calculated using two different methods:

– calculating volume of an ellipsoid from three orthogonal measurements of the AVM

– 3D integrated volumetric analysis of the AVM.

Methods

• After IRB clearance, imaging studies from 11 patients with known brain AVMs were reviewed.

• Studies included CT of the head with contrast, CTA of the head and MRI of the head with contrast.

• All studies were analyzed by one board certified neuroradiologist (Reader 1) and a second year neuroradiology fellow (Reader 2) on custom software developed at the University of Michigan.

Methods

• For each patient, the AVM volume was calculated by two methods:

– Ellipsoid formula ABC/2 – A, B, C: maximal orthogonal

measurements of AVM nidus

– 3D integrated volume – calculated by tracing the boundaries of

the AVM nidus on each axial slice of a cross-sectional study

Methods

Figure1. Measuring orthogonal projections of the AVM nidus for calculating ellipsoid volume

Methods

Figure 2. Tracing AVM nidus boundaries to calculate 3D integrated volume

• Average volume of AVMs in our study determined by Ellipsoid and 3D Integrated volume calculations

• The volumes were calculated based on estimation by two readers

Reader 1 Reader 2

Ellipsoid volume (mL)

4.2 Range: 0.4-16.6

7.6Range: 0.4-29.6

3D Integrated volume (mL)

6.2Range: 0.6-23.8

6.9Range: 0.6-21.7

Table 1. Average intracranial AVM volumes by Ellipsoid and 3D Integrated volume

calculations based on estimation by two readers

Results

3D Integrated Volume [cm3]

0 5 10 15 20 25 30

Ell

ipso

id V

olu

me

[cm

3 ]

0

5

10

15

20

25

30

Results

Figure 3. Pearson correlation (R) for Ellipsoid volume vs 3D Integrated volume calculation for Reader 1 (R1) and Reader 2 (R2).

R1

3D Integrated Volume [cm3]

0 5 10 15 20 25 30

Ell

ipso

id V

olu

me

[cm

3 ]

0

5

10

15

20

25

30

R2

R=0.99 R=0.98

Results

Figure 4. Pearson correlation (R) for Reader 1 (R1) vs Reader 2 (R2) for the Ellipsoid and 3D Integrated volume calculations.

R1 Integrated Volume [cm3]

0 5 10 15 20 25 30R2

Inte

gra

ted

Vo

lum

e [c

m3 ]

0

5

10

15

20

25

30

R1 Ellipsoid Volume [cm3]

0 5 10 15 20 25 30R2

Ell

ipso

id V

olu

me

[cm

3 ]

0

5

10

15

20

25

30

R=0.88 R=0.87

Conclusion

• There was a high inter-reader correlation for both the Ellipsoid and 3D Integrated volumes.

• There was a high correlation between the Ellipsoid and 3D Integrated volumes.

• Orthogonal volume measurement of intracranial AVMs based on the ellipsoid formula may be sufficient.

Limitations

• Our study had a small sample size of 11 patients

• Many of the studies analyzed had low spatial resolution

References

• Foroni R, Gerosa M, Pasqualin A, et al. Shape recovery and volume calculation from biplane angiography in the stereotactic radiosurgical treatment of arteriovenous malformations. Int J Radiat Oncol Biol Phys. 1996 Jun 1;35(3):565-77

• Forkert ND, Illies T, Goebell E, Fiehler J, Säring D, Handels H. Computer-aided nidus segmentation and angiographic characterization of arteriovenous malformations. Int J Comput Assist Radiol Surg. 2013 Sep;8(5):775-86. doi: 10.1007/s11548-013-0823-9. Epub 2013 Mar 7