CT perfusion with acetazolamide challenge in C6 gliomas and angiogenesis

Computed tomography perfusion imaging evaluation of angiogenesis in patients with pancreatic adenocarcinoma

BACKGROUND

Pancreatic adenocarcinoma is one of the most common malignant tumors of the digestive system. More than 80% of patients with pancreatic adenocarcinoma are not diagnosed until late stage and have distant or local metastases.

AIM

To investigate the value of computed tomography (CT) perfusion imaging in the evaluation of angiogenesis in pancreatic adenocarcinoma patients.

METHODS

This is a retrospective cohort study. Patients with pancreatic adenocarcinoma and volunteers without pancreatic diseases underwent CT perfusion imaging from December 2014 to August 2017 in Huashan Hospital, Fudan University Shanghai, China.

RESULTS

A total number of 35 pancreatic adenocarcinoma patients and 33 volunteers were enrolled. The relative blood flow (rBF), and relative blood volume (rBV) were significantly lower in patients with pancreatic adenocarcinoma than in the control group (P < 0.05). Conversely, the relative permeability in patients with pancreatic adenocarcinoma was significantly higher than that in controls (P < 0.05). In addition, rBF, rBV, and the vascular maturity index (VMI) were significantly lower in grade III-IV pancreatic adenocarcinoma than in grade I-II pancreatic adenocarcinoma (P < 0.05). Vascular endothelial growth factor (VEGF), CD105-MVD, CD34-MVD, and angiogenesis rate (AR) were significantly higher in grade III-IV pancreatic adenocarcinoma than in grade I-II pancreatic adenocarcinoma (P < 0.05). Significant correlations between rBF and VEGF, CD105-MVD, AR, and VMI (P < 0.01) were observed. Moreover, the levels of rBV were statistically significantly correlated with those of VEGF, CD105-MVD, CD34-MVD, and VMI (P < 0.01).

CONCLUSION

Perfusion CT imaging may be an appropriate approach for quantitative assessment of tumor angiogenesis in pancreatic adenocarcinoma.

Quantitative Imaging Parameters of Contrast-Enhanced Micro-Computed Tomography Correlate with Angiogenesis and Necrosis in a Subcutaneous C6 Glioma Model

The aim of this work was to systematically obtain quantitative imaging parameters with static and dynamic contrast-enhanced (CE) X-ray imaging techniques and to evaluate their correlation with histological biomarkers of angiogenesis in a subcutaneous C6 glioma model. Enhancement (E), iodine concentration (CI), and relative blood volume (rBV) were quantified from single- and dual-energy (SE and DE, respectively) micro-computed tomography (micro-CT) images, while rBV and volume transfer constant (Ktrans) were quantified from dynamic contrast-enhanced (DCE) planar images. CI and rBV allowed a better discernment of tumor regions from muscle than E in SE and DE images, while no significant differences were found for rBV and Ktrans in DCE images. An agreement was found in rBV for muscle quantified with the different imaging protocols, and in CI and E quantified with SE and DE protocols. Significant strong correlations (Pearson r > 0.7, p < 0.05) were found between a set of imaging parameters in SE images and histological biomarkers: E and CI in tumor periphery were associated with microvessel density (MVD) and necrosis, E and CI in the complete tumor with MVD, and rBV in the tumor periphery with MVD. In conclusion, quantitative imaging parameters obtained in SE micro-CT images could be used to characterize angiogenesis and necrosis in the subcutaneous C6 glioma model.

AG488 as a therapy against gliomas

High-grade gliomas such as glioblastomas (GBM) present a deadly prognosis following diagnosis and very few effective treatment options. Here, we investigate if the small molecule AG488 can be an effective therapy against GBM with both anti-angiogenic as well as an anti-microtubule inhibiting modalities, using a human G55 glioma xenograft model in nude mice. From in vitro studies, we report that AG488 incubation reduced cell viability in G55 and HMEC-1 cells more so than TMZ treatment, and AG488 treatment also decreased cell viability in normal astrocytes, but not as much as for G55 cells (p<0.0001). In vivo investigations indicated that AG488 therapy helped reduce tumor volumes (p<0.0001), prolong survival (p<0.01), increase tumor perfusion (p<0.01), and decrease microvessel density (MVD) (p<0.05), compared to untreated mice or mice treated with non-specific IgG, in the G55 xenograft model. Additionally, AG488 did not induce apoptosis in normal mouse brain tissue. Animal survival and tumor volume changes for AG488 were comparable to TMZ or anti-VEGF therapies, however AG488 was found to be more effective in decreasing tumor-related vascularity (perfusion and MVD). AG488 is a potential novel therapy against high-grade gliomas.

Can an ¹⁸F-ALF-NOTA-PRGD2 PET/CT Scan Predict Treatment Sensitivity to Concurrent Chemoradiotherapy in Patients with Newly Diagnosed Glioblastoma?

This study examined the value of a novel 1-step labeled integrin α(v)β3-targeting (18)F-AlF-NOTA-PRGD2 (denoted as (18)F-RGD) scan in assessing sensitivity to concurrent chemoradiotherapy (CCRT) in patients with newly diagnosed glioblastoma multiforme (GBM).

METHODS

Twenty-five patients with newly diagnosed GBM were enrolled in this study 3-5 wk after surgical resection. All participants were investigated with (18)F-RGD PET/CT on baseline (T1) and at the third week (T2) after the start of CCRT. Tumor volume, maximal and mean standardized uptake value of the tumor (SUVmax, SUVmean), and tumor-to-nontumor ratios of the tumor volume were obtained. The MRI treatment response was assessed at the 11th week (T3). The change in the lesion volume from T1 to T3 on MRI was used as an endpoint to evaluate the predictive ability of (18)F-RGD PET/CT.

RESULTS

With (18)F-RGD PET/CT imaging, we successfully visualized the residual lesions of GBM. Twenty-five and 23 (18)F-RGD PET/CT scans at baseline and the third week, respectively, were available for analysis. We found that (18)F-RGD PET/CT parameters, both pretreatment SUVmax on baseline (P< 0.05) and intratreatment SUVmax at the third week (SUV(maxT2)) (P< 0.05) and tumor-to-nontumor ratios at the third week (P< 0.05), were predictive of treatment sensitivity to CCRT. Additionally, the change of volume from T1 to T2 on MRI was also predictive (P< 0.05). According to receiver-operating-characteristic curve analysis, the most significant parameter was SUV(maxT2) (area under the curve, 0.846). The threshold of SUV(maxT2) was 1.35, and its sensitivity, specificity, and accuracy were 84.6%, 90.0% and 87.0%, respectively.

CONCLUSION

(18)F-RGD PET/CT allows for the noninvasive visualization of GBM lesions and the prediction of sensitivity to CCRT as early as 3 wk after treatment initiation.