Literature DB >> 29412000

Measurement of the perfusion fraction in brain tumors with intravoxel incoherent motion MR imaging: validation with histopathological vascular density in meningiomas.

Osamu Togao1, Akio Hiwatashi1, Koji Yamashita1, Kazufumi Kikuchi1, Daichi Momosaka1, Koji Yoshimoto2, Daisuke Kuga2, Masahiro Mizoguchi2, Satoshi O Suzuki3, Toru Iwaki3, Marc Van Cauteren4, Koji Iihara2, Hiroshi Honda1.   

Abstract

OBJECTIVE: To evaluate the quantification performance of the perfusion fraction (f) measured with intravoxel incoherent motion (IVIM) MR imaging in a comparison with the histological vascular density in meningiomas.
METHODS: 29 consecutive patients with meningioma (59.0 ± 16.8 years old, 8 males and 21 females) who underwent a subsequent surgical resection were examined with both IVIM imaging and a histopathological analysis. IVIM imaging was conducted using a single-shot SE-EPI sequence with 13 b-factors (0, 10, 20, 30, 50, 80, 100, 200, 300, 400, 600, 800, 1000 s mm-2) at 3T. The perfusion fraction (f) was calculated by fitting the IVIM bi-exponential model. The 90-percentile f-value in the tumor region-of-interest (ROI) was defined as the maximum f-value (f-max). Histopathological vascular density (%Vessel) was measured on CD31-immunostainted histopathological specimens. The correlation and agreement between the f-values and %Vessel was assessed.
RESULTS: The f-max (15.5 ± 5.5%) showed excellent agreement [intraclass correlation coefficient (ICC) = 0.754] and a significant correlation (r = 0.69, p < 0.0001) with the %Vessel (12.9 ± 9.4%) of the tumors. The Bland-Altman plot analysis showed excellent agreement between the f-max and %Vessel (bias, -2.6%; 95% limits of agreement, from -16.0 to 10.8%). The f-max was not significantly different among the histological subtypes of meningioma.
CONCLUSION: An excellent agreement and a significant correlation were observed between the f-values and %Vessel. The f-value can be used as a noninvasive quantitative imaging measure to directly assess the vascular volume fraction in brain tumors. Advances in knowledge: The f-value measured by IVIM imaging showed a significant correlation and an excellent agreement with the histological vascular density in the meningiomas. The f-value can be used as a noninvasive and quantitative imaging measure to directly assess the volume fraction of capillaries in brain tumors.

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Year:  2018        PMID: 29412000      PMCID: PMC6190789          DOI: 10.1259/bjr.20170912

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  32 in total

1.  Perfusion-related parameters in intravoxel incoherent motion MR imaging compared with CBV and CBF measured by dynamic susceptibility-contrast MR technique.

Authors:  R Wirestam; M Borg; S Brockstedt; A Lindgren; S Holtås; F Ståhlberg
Journal:  Acta Radiol       Date:  2001-03       Impact factor: 1.990

2.  Comparison of arterial spin labeling and bolus perfusion-weighted imaging for detecting mismatch in acute stroke.

Authors:  Greg Zaharchuk; Ibraheem S El Mogy; Nancy J Fischbein; Gregory W Albers
Journal:  Stroke       Date:  2012-04-26       Impact factor: 7.914

3.  Perfusion imaging of meningioma by using continuous arterial spin-labeling: comparison with dynamic susceptibility-weighted contrast-enhanced MR images and histopathologic features.

Authors:  H Kimura; H Takeuchi; Y Koshimoto; H Arishima; H Uematsu; Y Kawamura; T Kubota; H Itoh
Journal:  AJNR Am J Neuroradiol       Date:  2006-01       Impact factor: 3.825

4.  High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. Part I: Mathematical approach and statistical analysis.

Authors:  L Ostergaard; R M Weisskoff; D A Chesler; C Gyldensted; B R Rosen
Journal:  Magn Reson Med       Date:  1996-11       Impact factor: 4.668

5.  Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging.

Authors:  D Le Bihan; E Breton; D Lallemand; M L Aubin; J Vignaud; M Laval-Jeantet
Journal:  Radiology       Date:  1988-08       Impact factor: 11.105

6.  Intravoxel incoherent motion diffusion-weighted MR imaging of the liver: effect of triggering methods on regional variability and measurement repeatability of quantitative parameters.

Authors:  Yedaun Lee; Seung Soo Lee; Namkug Kim; Eunki Kim; Yeong Jae Kim; Sung-Cheol Yun; Bernd Kühn; In Seong Kim; Seong Ho Park; So Yeon Kim; Moon-Gyu Lee
Journal:  Radiology       Date:  2014-09-17       Impact factor: 11.105

7.  Evaluation of different cerebral mass lesions by perfusion-weighted MR imaging.

Authors:  Bahattin Hakyemez; Cuneyt Erdogan; Naile Bolca; Nalan Yildirim; Gokhan Gokalp; Mufit Parlak
Journal:  J Magn Reson Imaging       Date:  2006-10       Impact factor: 4.813

8.  Differentiating primary CNS lymphoma from glioblastoma multiforme: assessment using arterial spin labeling, diffusion-weighted imaging, and ¹⁸F-fluorodeoxyglucose positron emission tomography.

Authors:  Koji Yamashita; Takashi Yoshiura; Akio Hiwatashi; Osamu Togao; Koji Yoshimoto; Satoshi O Suzuki; Koichiro Abe; Kazufumi Kikuchi; Yasuhiro Maruoka; Masahiro Mizoguchi; Toru Iwaki; Hiroshi Honda
Journal:  Neuroradiology       Date:  2012-09-09       Impact factor: 2.804

9.  Utility of intravoxel incoherent motion MR imaging for distinguishing recurrent metastatic tumor from treatment effect following gamma knife radiosurgery: initial experience.

Authors:  D Y Kim; H S Kim; M J Goh; C G Choi; S J Kim
Journal:  AJNR Am J Neuroradiol       Date:  2014-06-26       Impact factor: 3.825

10.  Histogram analysis versus region of interest analysis of dynamic susceptibility contrast perfusion MR imaging data in the grading of cerebral gliomas.

Authors:  M Law; R Young; J Babb; E Pollack; G Johnson
Journal:  AJNR Am J Neuroradiol       Date:  2007-04       Impact factor: 3.825

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  8 in total

1.  Mutual constraining of slow component and fast component measures: some observations in liver IVIM imaging.

Authors:  Yì Xiáng J Wáng
Journal:  Quant Imaging Med Surg       Date:  2021-06

2.  Evaluation of Magnetic Resonance Imaging for Microsurgical Efficacy and Relapse of Rolandic Meningioma.

Authors:  Peng Cao; Nianhua Wang
Journal:  Comput Intell Neurosci       Date:  2022-06-06

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

Authors:  Kiyohisa Kamimura; Masanori Nakajo; Tomohide Yoneyama; Yoshihiko Fukukura; Shingo Fujio; Yuko Goto; Takashi Iwanaga; Yuta Akamine; Takashi Yoshiura
Journal:  Eur Radiol       Date:  2019-12-10       Impact factor: 5.315

4.  Impact of hypertension on cerebral microvascular structure in CPAP-treated obstructive sleep apnoea patients: a diffusion magnetic resonance imaging study.

Authors:  Sira Thiel; Thomas Gaisl; Franziska Lettau; Andreas Boss; Sebastian Winklhofer; Malcolm Kohler; Cristina Rossi
Journal:  Neuroradiology       Date:  2019-09-16       Impact factor: 2.804

5.  Association of cerebral microvascular perfusion and diffusion dynamics detected by intravoxel incoherent motion-diffusion weighted imaging with initial neurological function and clinical outcome in acute ischemic stroke.

Authors:  Fei Chen; Zhenyu Dai; Lizheng Yao; Congsong Dong; Haicun Shi; Weiqiang Dou; Wei Xing
Journal:  PeerJ       Date:  2021-09-16       Impact factor: 2.984

6.  Comparison of image quality of head and neck lesions between 3D gradient echo sequences with compressed sensing and the multi-slice spin echo sequence.

Authors:  Yukiko Kami; Toru Chikui; Osamu Togao; Masahiro Ooga; Kazunori Yoshiura
Journal:  Acta Radiol Open       Date:  2020-09-21

Review 7.  Perfusion-driven Intravoxel Incoherent Motion (IVIM) MRI in Oncology: Applications, Challenges, and Future Trends.

Authors:  Mami Iima
Journal:  Magn Reson Med Sci       Date:  2020-06-15       Impact factor: 2.471

Review 8.  Meta-analysis of intravoxel incoherent motion magnetic resonance imaging in differentiating focal lesions of the liver.

Authors:  Hongzhen Wu; Yingying Liang; Xinqing Jiang; Xinhua Wei; Yu Liu; Weifeng Liu; Yuan Guo; Wenjie Tang
Journal:  Medicine (Baltimore)       Date:  2018-08       Impact factor: 1.817

  8 in total

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