Skip to main content

Advertisement

Log in

Assessment of microvessel perfusion of pituitary adenomas: a feasibility study using turbo spin-echo-based intravoxel incoherent motion imaging

  • Magnetic Resonance
  • Published:
European Radiology Aims and scope Submit manuscript

Abstract

Objectives

To evaluate the feasibility of assessment of microvessel perfusion of pituitary adenomas with intravoxel incoherent motion (IVIM) imaging using single-shot turbo spin-echo-based diffusion-weighted imaging (SS-TSE-DWI).

Methods

We examined 51 consecutive patients with pituitary adenomas (35 non-functioning and 16 functioning) and 32 patients with normal pituitary glands using SS-TSE-DWI IVIM. The diffusion coefficient (D), the perfusion fraction (f), and the pseudo-diffusion coefficient (D*) were calculated pixel-by-pixel for each adenoma and normal pituitary gland. We also obtained the pathological microvessel area (MVA) of each adenoma. The IVIM parameters in adenomas were compared with those in normal pituitary glands using the Mann–Whitney U test. The correlation between the MVA and IVIM f of adenomas was analyzed using Spearman’s rank correlation coefficient.

Results

The mean D (× 10−3 mm2/s) in adenomas was 0.723 ± 0.253, which was significantly lower than that in normal pituitary glands (0.862 ± 0.128; p < 0.0001). The mean f (%) in adenomas was 10.74 ± 4.51, which was significantly lower than that in normal pituitary glands (13.26 ± 4.32, p = 0.0251). No significant difference was found in the mean D*. We found a significant positive correlation between MVA and f in non-functioning adenomas (ρ = 0.634, p < 0.0001) as well as in all adenomas (ρ = 0.451, p = 0.0009).

Conclusions

Assessment of microvessel perfusion of pituitary adenomas based on SS-TSE-DWI IVIM is feasible. Compared to normal pituitary glands, pituitary adenomas were characterized by lower D and f.

Key Points

Assessment of microvessel perfusion of pituitary adenomas based on SS-TSE-IVIM is feasible.

SS-TSE-IVIM helps with evaluation of the vascularity of pituitary lesions.

Pituitary adenomas were characterized by lower D and f than normal pituitary glands.

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.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

Abbreviations

ACTH:

Adrenocorticotropic hormone

ADC:

Apparent diffusion coefficient

ASL:

Arterial spin labeling

D :

True diffusion coefficient

D*:

Pseudo-diffusion coefficient

EPI:

Echo-planar image

f :

Perfusion fraction

FOV:

Field of view

GH:

Growth hormone

ICC:

Intraclass correlation coefficient

MVA:

Microvessel area

MVD:

Microvessel density

PRL:

Prolactin

SI:

Signal intensity

SI0 :

Signal intensity at a given b = 0 s/mm2

SS:

Single shot

TE:

Echo time

TFE:

Turbo field-echo

TR:

Repetition time

TSE:

Turbo spin-echo

TSH:

Thyroid-stimulating hormone

References

  1. Ezzat S, Asa SL, Couldwell WT et al (2004) The prevalence of pituitary adenomas: a systematic review. Cancer 101:613–619

    Article  Google Scholar 

  2. Miki Y, Matsuo M, Nishizawa S et al (1990) Pituitary adenomas and normal pituitary tissue: enhancement patterns on gadopentetate-enhanced MR imaging. Radiology 177:35–38

    Article  CAS  Google Scholar 

  3. Bartynski WS, Lin L (1997) Dynamic and conventional spin-echo MR of pituitarymicrolesions. AJNRAmJNeuroradiol 18:965–972

    CAS  Google Scholar 

  4. Sen R, Sen C, Pack J et al (2017) Role of high-resolution dynamic contrast-enhanced MRI with golden-angle radial sparse parallel reconstruction to identify the normal pituitary gland in patients with macroadenomas. AJNR Am J Neuroradiol 38:1117–1121

    Article  CAS  Google Scholar 

  5. Zhang S, Song G, Zang Y et al (2018) Non-invasive radiomics approach potentially predicts non-functioning pituitary adenomas subtypes before surgery. Eur Radiol 28:3692–3701

    Article  Google Scholar 

  6. Hiwatashi A, Togao O, Yamashita K et al (2016) Evaluation of diffusivity in pituitary adenoma: 3D turbo field echo with diffusion-sensitized driven-equilibrium preparation. Br J Radiol 89:20150755. https://doi.org/10.1259/bjr.20150755

    Article  PubMed  PubMed Central  Google Scholar 

  7. Sakai N, Koizumi S, Yamashita S et al (2013) Arterial spin-labeled perfusion imaging reflects vascular density nonfunctioning pituitary macroadenomas. AJNR Am J Neuroradiol 34:2139–2143

    Article  CAS  Google Scholar 

  8. Ma Z, He W, Zhao Y et al (2016) Predictive value of PWI for blood supply and T1-spin echoMRI for consistency of pituitary adenoma. Neuroradiology 58:51–57

    Article  CAS  Google Scholar 

  9. Le Bihan D, Breton E, Lallemand D, Grenier P, Cabanis E, Laval-Jeantet M (1986) MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders. Radiology 161:401–407

    Article  Google Scholar 

  10. Kunii N, Abe T, KawamoM TD, Izumiyama H, Moritani T (2007) Rathke’s cleft cysts: differentiation from other cystic lesions in the pituitary fossa by use of single shot fast spin-echo diffusionweighted MR imaging. Acta Neurochir (Wien) 149:759–769

    Article  CAS  Google Scholar 

  11. Kamimura K, Nakajo M, Fukukura Y et al (2016) Intravoxel incoherent motion in normal pituitary gland: initial study with turbo spin-echo diffusion-weighted imaging. AJNR Am J Neuroradiol 37:2328–2333

    Article  CAS  Google Scholar 

  12. Alsop DC (1997) Phase insensitive preparation of single-shot RARE: application to diffusion imaging in humans. Magn Reson Med 38:527–533

    Article  CAS  Google Scholar 

  13. Baltzer PA, Renz DM, Herrmann KH et al (2009) Diffusionweighted imaging (DWI) in MR mammography (MRM): clinical comparison of echo planar imaging (EPI) and half-Fourier singleshot turbo spin echo (HASTE) diffusion techniques. Eur Radiol 19:1612–1620

    Article  CAS  Google Scholar 

  14. Marquardt DW (1963) An algorithm for least-squares estimation of nonlinear parameters. J Soc Indust Appl Math 11:431–441. https://doi.org/10.1137/0111030

    Article  Google Scholar 

  15. Takano S, Akutsu H, Hara T, Yamamoto T, Matsumura A (2014) Correlations of vascular architecture and angiogenesis with pituitary adenoma histotype. Int J Endocrinol 2014:989574

    Article  Google Scholar 

  16. Shrout PE, Fleiss JL (1979) Intraclass correlations: uses in assessing rater reliability. Psychol Bull 86:420–428

    Article  CAS  Google Scholar 

  17. Le Bihan D, Turner R (1992) The capillary network: a link between IVIM and classical perfusion. Magn Reson Med 27:171–178

    Article  Google Scholar 

  18. Federau C, O’Brien K, Meuli R, Hagmann P, Maeder P (2014) Measuring brain perfusion with intravoxel incoherent motion (IVIM): initial clinical experience. J Magn Reason Imaging 39:624–632

    Article  Google Scholar 

  19. Togao O, Hiwatashi A, Yamashita K et al (2016) Differentiation of high-grade and low-grade diffuse gliomas by intravoxel incoherent motion MR imaging. Neuro Oncol 18:132–141

    Article  Google Scholar 

  20. Suh CH, Kim HS, Lee SS et al (2014) Atypical imaging features of primary central nervous system lymphoma that mimics glioblastoma: utility of intravoxel incoherent motion MRimaging. Radiology 272:504–513

    Article  Google Scholar 

  21. Togao O, Hiwatashi A, Yamashita K et al (2018) Measurement of the perfusion fraction in brain tumors with intravoxel incoherent motion MR imaging: validation with histopathological vascular density in meningiomas. Br J Radio 91:20170912. https://doi.org/10.1259/bjr.20170912

    Article  Google Scholar 

  22. Sakai N, Yamashita S, Takehara Y et al (2015) Evaluation of the antiangiogenic effects of octreotide on growth hormone-producing pituitary adenoma using arterial spin-labeling perfusion imaging. Magn Reason Med Sci 14:73–76

    Article  Google Scholar 

  23. Jasek E, Furgal-Borzych A, Lis GJ, Litwin JA, Rzepecka-Wozniak E, Trela F (2009) Microvessel density and area in pituitary microadenomas. Endocr Pathol 20:221–226

    Article  CAS  Google Scholar 

  24. Turner HE, Nagy Z, Gatter KC et al (2000) Angiogenesis in pituitary adenomas and the normal pituitary gland. J Clin Endocrinol Metab 85:1159–1162

    Article  CAS  Google Scholar 

  25. Viacava P, Gasperi M, Acerbi G et al (2003) Microvascular density and vascular endothelial growth factor expression in normal pituitary tissue and pituitary adenomas. J Endocrinol Invest 26:23–28

    Article  CAS  Google Scholar 

  26. Iima M, Reynaud O, Tsurugizawa T et al (2014) Characterization of glioma microcirculation and tissue features using intravoxel incoherent motion magnetic resonance imaging in a rat brain model. Invest Radiol 49:485–490

    Article  CAS  Google Scholar 

  27. Trouillas J, Roy P, Sturm N et al (2013) A new prognostic clinicopathological classification of pituitary adenomas: a multicentric case-control study of 410 patients with 8 years post-operative follow-up. Acta Neuropathol 126:123–135

    Article  Google Scholar 

Download references

Acknowledgments

The authors would like to thank Tomoko Takajo (technical assistant) who helped with the immunohistochemical staining for CD34 to obtain microvessel densities and areas of pituitary adenomas. This retrospective study was approved by the Kagoshima University Hospital Ethical Committee (reference: Epidemiology 170123-revision 1).

Funding

The authors state that this work has not received any funding.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Takashi Yoshiura.

Ethics declarations

Guarantor

The scientific guarantor of this publication is Takashi Yoshiura.

Conflict of interest

The authors of this manuscript declare relationships with Philips Japan. Yuta Akamine is an employee of Philips Japan.

Statistics and biometry

No complex statistical methods were necessary for this paper.

Informed consent

Written informed consent was waived by the institutional review board.

Ethical approval

Institutional review board approval was obtained.

Methodology

• retrospective

• diagnostic study

• performed at one institution

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

ESM 1

(DOCX 3654 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kamimura, K., Nakajo, M., Yoneyama, T. et al. Assessment of microvessel perfusion of pituitary adenomas: a feasibility study using turbo spin-echo-based intravoxel incoherent motion imaging. Eur Radiol 30, 1908–1917 (2020). https://doi.org/10.1007/s00330-019-06443-x

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00330-019-06443-x

Keywords

Navigation