Potential of ultra-high-resolution photon-counting CT of bone metastases: initial experiences in breast cancer patients.
E WehrseS SawallL KleinP GlemserStefan DelormeH-P SchlemmerM KachelrießM UhrigC H ZienerLukas Thomas RotkopfPublished in: NPJ breast cancer (2021)
Conventional CT scanners use energy-integrating detectors (EIDs). Photon-counting detector (PCD) computed tomography (CT) utilizes a CT detector technology based on smaller detector pixels capable of counting single photons and in addition discriminating their energy. Goal of this study was to explore the potential of higher spatial resolution for imaging of bone metastases. Four female patients with histologically confirmed breast cancer and bone metastases were included between July and October 2019. All patients underwent conventional EID CT scans followed by a high resolution non-contrast experimental PCD CT scan. Ultra-high resolution (UHR) reconstruction kernels were used to reconstruct axial slices with voxel sizes of 0.3 mm × 0.3 mm (inplane) × 1 mm (z-direction). Four radiologists blinded for patient identity assessed the images and compared the quality to conventional CT using a qualitative Likert scale. In this case series, we present images of bone metastases in breast cancer patients using an experimental PCD CT scanner and ultra-high-resolution kernels. A tendency to both a smaller inter-reader variability in the structural assessment of lesion sizes and in the readers' opinion to an improved visualization of lesion margins and content was observed. In conclusion, while further studies are warranted, PCD CT has a high potential for therapy monitoring in breast cancer.
Keyphrases
- image quality
- computed tomography
- high resolution
- dual energy
- contrast enhanced
- positron emission tomography
- magnetic resonance imaging
- end stage renal disease
- randomized controlled trial
- magnetic resonance
- peritoneal dialysis
- stem cells
- deep learning
- mesenchymal stem cells
- optical coherence tomography
- young adults
- clinical trial
- human health
- mass spectrometry
- mental health
- convolutional neural network
- case report
- liquid chromatography
- risk assessment
- tandem mass spectrometry
- prognostic factors
- study protocol
- patient reported