Comparison of CT perfusion parameters and microvessel density in intracranial hemangiopericytomas with peritumoral edema

Background: Several angiogenic factors correlate with angiogenesis in meningioma while their exact role is yet to be identified. Semaphorins are described with a variety of physiological functions including angiogenesis and migration of neural crest cells. Objective: We aimed to determine the correlation of semaphorin 3A, 3C (Sema 3A and 3C) and vascular endothelial growth factor (VEGF) expression with microvessel density (MVD) and peritumoral brain edema (PTBE) in meningioma.Methods: In this study 21 patients with grade I meningioma were included. PTBE was measured on axial and coronal brain MRI. Tissue expression of semaphorin 3A, 3C and VEGF were determined using quantitative real-time PCR (qRT-PCR). Result: We found that mean vascular density and tumor edema index were negatively associated with tissue expression of semaphorin 3A and 3C, respectively (p=0.029 and p=0.048). VEGF did not show statistically significant correlation with tumor characteristics studied (p> 0.05). We also found that the mean vascular density of the menigiomas was positively associated with intra operative blood loss (r=0.503, p=0.010). Conclusion: Our data indicates an inverse correlation of Sema3A and Sema3C with vascular density and peritumoral edema, respectively, while no correlation could be shown for VEGF. Thus, Sema3A and 3C may be identified as appropriate inhibitors of pathological angiogenesis in human meningioma. However, confirmation of this finding in a larger dataset is warranted.

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The use of CT perfusion to determine microvessel density in lung cancer: Comparison with FDG-PET and pathology

Chinese Journal of Cancer Research ◽

10.1007/s11670-011-0118-z ◽

2011 ◽

Vol 23 (2) ◽

pp. 118-122 ◽

Cited By ~ 8

Author(s):

Ning Xing ◽

Zu-long Cai ◽

Shao-hong Zhao ◽

Li Yang ◽

Bai-xuan Xu ◽

...

Keyword(s):

Lung Cancer ◽

Microvessel Density ◽

Fdg Pet ◽

Ct Perfusion

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Head and Neck Squamous Cell Carcinoma: CT Perfusion Can Help Noninvasively Predict Intratumoral Microvessel Density

Radiology ◽

10.1148/radiol.2512080743 ◽

2009 ◽

Vol 251 (2) ◽

pp. 422-428 ◽

Cited By ~ 57

Author(s):

Lorraine Ash ◽

Theodoros N. Teknos ◽

Dheerhaj Gandhi ◽

Samip Patel ◽

Suresh K. Mukherji

Keyword(s):

Squamous Cell Carcinoma ◽

Cell Carcinoma ◽

Head And Neck ◽

Squamous Cell ◽

Microvessel Density ◽

Ct Perfusion ◽

Neck Squamous Cell Carcinoma

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Assessment of tissue perfusion of pancreatic cancer as potential imaging biomarker by means of Intravoxel incoherent motion MRI and CT perfusion: correlation with histological microvessel density as ground truth

Cancer Imaging ◽

10.1186/s40644-021-00382-x ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Philipp Mayer ◽

Franziska Fritz ◽

Marco Koell ◽

Stephan Skornitzke ◽

Frank Bergmann ◽

...

Keyword(s):

Microvessel Density ◽

Ct Perfusion ◽

Quantitative Imaging ◽

Correlation Coefficients ◽

Ground Truth ◽

Tissue Perfusion ◽

Intravoxel Incoherent Motion ◽

Imaging Biomarker ◽

Ductal Adenocarcinoma ◽

Tumor Perfusion

Abstract Background/objectives The aim of this study was to compare intravoxel incoherent motion (IVIM) diffusion weighted (DW) MRI and CT perfusion to assess tumor perfusion of pancreatic ductal adenocarcinoma (PDAC). Methods In this prospective study, DW-MRI and CT perfusion were conducted in nineteen patients with PDAC on the day before surgery. IVIM analysis of DW-MRI was performed and the parameters perfusion fraction f, pseudodiffusion coefficient D*, and diffusion coefficient D were extracted for tumors, upstream, and downstream parenchyma. With a deconvolution-based analysis, the CT perfusion parameters blood flow (BF) and blood volume (BV) were estimated for tumors, upstream, and downstream parenchyma. In ten patients, intratumoral microvessel density (MVDtumor) and microvessel area (MVAtumor) were analyzed microscopically in resection specimens. Correlation coefficients between IVIM parameters, CT perfusion parameters, and histological microvessel parameters in tumors were calculated. Receiver operating characteristic (ROC) analysis was performed for differentiation of tumors and upstream parenchyma. Results ftumor significantly positively correlated with BFtumor (r = 0.668, p = 0.002) and BVtumor (r = 0.672, p = 0.002). There were significant positive correlations between ftumor and MVDtumor/ MVAtumor (r ≥ 0.770, p ≤ 0.009) as well as between BFtumor and MVDtumor/ MVAtumor (r ≥ 0.697, p ≤ 0.025). Correlation coefficients between ftumor and MVDtumor/ MVAtumor were not significantly different from correlation coefficients between BFtumor and MVDtumor/ MVAtumor (p ≥ 0.400). Moreover, f, BF, BV, and permeability values (PEM) showed excellent performance in distinguishing tumors from upstream parenchyma (area under the ROC curve ≥0.874). Conclusions The study shows that IVIM derived ftumor and CT perfusion derived BFtumor similarly reflect vascularity of PDAC and seem to be comparably applicable for the evaluation of tumor perfusion for tumor characterization and as potential quantitative imaging biomarker. Trial registration DRKS, DRKS00022227, Registered 26 June 2020, retrospectively registered. https://www.drks.de/drks_web/navigate.do?navigationId=trial. HTML&TRIAL_ID=DRKS00022227.

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