Virtual Monochromatic Image Quality from Dual-Layer Dual-Energy Computed Tomography for Detecting Brain Tumors

The role of dual-energy computed tomography (DECT) in emergency radiology: a visual guide to advanced diagnostics

Dual-energy computed tomography (DECT) has become an essential tool in emergency radiology, significantly enhancing diagnostic capabilities for a variety of acute conditions. By utilising two distinct X-ray energy spectra, DECT differentiates materials based on their attenuation properties, providing detailed insights into tissue composition and pathology. In emergency settings, DECT is used in thoracic imaging for the detection of pulmonary embolism, in abdominal imaging to enhance the diagnosis and characterisation of conditions such as pancreatitis, appendicitis, gastrointestinal bleeding, and bowel ischaemia and in the genitourinary system for identifying kidney stones, pyelonephritis, and urinary bleeding. In neuroimaging, DECT enables image optimisation through virtual monochromatic images and the reduction of metal artifacts. It helps in the differential diagnosis of haemorrhage versus tumour-related haemorrhage, haemorrhage versus contrast extravasation, and in the dating of vertebral collapse. DECT offers several advantages, including enhanced visualisation, the potential to reduce radiation exposure and contrast medium, and improved diagnostic accuracy across a wide range of conditions. However, its routine clinical adoption is still evolving due to challenges such as limited availability, cost, and the need for specialised training. This pictorial essay aims to encourage the broader integration of DECT into emergency imaging protocols by showcasing its clinical applications and benefits.

Discriminating high-grade from low-grade infratentorial tumors with non-contrast computed tomography attenuation of the solid part

BackgroundTo find a more general imaging method for preliminary grading of infratentorial brain tumors.PurposeTo investigate the value of non-contrast computed tomography (NCCT) attenuation of the solid part of a tumor (SP-T) in distinguishing high- and low-grade infratentorial tumors.Material and MethodsThis retrospective study included 196 patients with primary infratentorial tumors. A total of 56 patients also underwent magnetic resonance imaging (MRI) with diffusion-weighted imaging (DWI). CT attenuation of SP-T, caudate nucleus (normal gray matter), and centrum semiovale (normal white matter) were measured. CT attenuation ratios of SP-T to normal gray matter (RT-G) and normal white matter (RT-W) were calculated. Each parameter was compared, and the area under the receiver operating characteristic curve (AUC) was used to determine diagnostic efficacy. Diagnostic efficacy of apparent diffusion coefficient (ADC) value and CT-related parameters were compared in 56 patients with both NCCT and MRI with DWI.ResultsThere were significant differences (P < 0.001) in mean CT attenuation of SP-T (35.32 ± 8.19 HU vs. 42.91 ± 5.56 HU), RT-G (0.95 ± 0.21 vs. 1.17 ± 0.15), and RT-W (1.37 ± 0.33 vs. 1.74 ± 0.30) between low- and high-grade infratentorial tumors. The AUCs for differentiating low-grade from high-grade tumors are 0.783, 0.819, and 0.797 for CT attenuation of SP-T, RT-G, and RT-W, respectively. For 56 patients with DWI, the AUCs for CT attenuation of SP-T, RT-G, RT-W, and ADC value were 0.833, 0.887, 0.850, and 0.910, respectively. All three CT-related parameters were not significantly different from the ADC value.ConclusionNCCT can distinguish low- and high-grade infratentorial tumors simply and conveniently and CT-related parameters show no significant difference compared to ADC value.

Assessment of dual-energy computed tomography derived virtual monoenergetic imaging for target volume delineation of brain metastases

BACKGROUND

Objective and subjective assessment of image quality of brain metastases on dual-energy computed tomography (DECT) virtual monoenergetic imaging (VMI) and its impact on target volume delineation.

MATERIALS AND METHODS

26 patients with 37 brain metastases receiving Magnetic Resonance Imaging (MRI) and DECT for stereotactic radiotherapy planning were included in this retrospective analysis. Lesion contrast (LC), contrast-to-noise ratio (CNR) and signal-to-noise ratio (SNR) were assessed for reconstructed VMI at 63 keV and artificial 120 kV Computed Tomography (CT). Image contrast and demarcation of metastases between 120 kV CT, VMI and MRI were subjectively assessed. Brain metastases were delineated by four radiation oncologists on VMI with a fixed or free brain window and contours were compared to solely MRI-based delineation using the Dice similarity coefficient.

RESULTS

LC, CNR and SNR were significantly higher in VMI than in 120 kV CT (p < 0.0001). Image contrast and lesion demarcation were significantly better on VMI compared to 120 kV CT (p < 0.0001). Mean gross tumor volume (GTV)/planning target volume (PTV) Dice similarity coefficients were 0.87/0.9 for metastases without imaging uncertainties (no artifacts, calcification or impaired visibility with MRI) but worse for metastases with imaging uncertainties (0.71/0.74). Target volumes delineated on VMI were around 5-10% smaller compared to MRI.

CONCLUSION

Image quality of VMI is objectively and subjectively superior to conventional CT. VMI provides significant advantages in stereotactic radiotherapy planning with improved visibility of brain metastases and geometrically distortion-free representation of brain metastases. Beside a plausibility check of MRI-based target volume delineation, VMI might improve reliability and accuracy in target volume definition particularly in cases with imaging uncertainties with MRI.

Dual-layer spectral computed tomography aortography using a seventy-five-percent-reduced iodine dose protocol and multiparameter spectral imaging: comparison with conventional computed tomography imaging

Background

Computed tomography angiography (CTA) is the recommended diagnostic and follow-up imaging modality for acute aortic dissection (AD). However, the high-contrast medium burden associated with repeated CT aortography follow-ups remains a significant concern. This prospective study aimed to assess whether an ultra-low contrast dose (75% cutoff) aortic CTA protocol on dual-layer spectral CT could achieve comparable image quality with the full dose protocol. We also investigated the image quality of the virtual noncontrast (VNC) images derived from the ultra-low dose protocol.

Methods

This study included 37 consecutive patients who were referred to aortic CTA from May 2022 to August 2022. The enrolled patients underwent full-dose contrast CTA and ultra-low dose (reduced to 25% of conventional) contrast CTA on dual-layer spectral CT in 1 day. Virtual monochromatic images (VMIs) were reconstructed with 40 and 70 keV. The VNC images were reconstructed for both protocols. Objective image quality evaluation, recorded as signal-to-noise ratios (SNRs) and contrast-to-noise ratios (CNRs), was compared between the groups using 1-way analysis of variance and post hoc analysis with Bonferroni correction. Subjective image quality was also compared between the groups. Finally, VNC images derived from the low-dose (VNClow) and full-dose (VNCfull) protocols were compared to the true noncontrast (TNC) images.

Results

Neither CNR nor SNR was lower for the 40-keV images reconstructed from the ultra-low dose group compared to the conventional images. Both were significantly higher than those of the 70-keV images. Regarding subjective image quality, vessel enhancement was not significantly different between the 40-keV VMI and full-dose images [ascending aorta (AAO): 4.37±0.46 vs. 4.57±0.48, P=0.096; brachiocephalic arteries: 4.34±0.45 vs. 4.51±0.49, P=0.152; abdominal aortic side branch: 4.42±0.48 vs. 4.51±0.49, P=0.480]. The VNClow images were similar to the TNC images but significantly different from the VNCfull images (P<0.001).

Conclusions

Ultra-low contrast aortic CTA with a 75%-reduced iodine dose using dual-layer spectral CT and the derived VNC achieved image quality comparable to that of conventional CTA and TNC images.