Photon-counting detector CT for abdominal imaging: opportunities and challenges

Schwartz, Fides R.; Alkadhi, Hatem

doi:10.1007/s00330-023-09722-w

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…Not only do technologists need to acclimate to the new hardware and myriad postprocessing options, but radiologists must also engage with the examination protocols. Photon-counting scanners permit an almost infinite number of modifications to precisely tailor the scan and reconstruction settings to individual requirements of image quality and radiation dosage [ 80 ]. Particularly in musculoskeletal radiology, where clinical colleagues are frequently involved in the reading process, close collaboration between trauma surgeons and orthopedists is essential to ensure optimal imaging results.…”

Section: Current Technical Limitations and Outlookmentioning

confidence: 99%

Photon-Counting Computed Tomography: Experience in Musculoskeletal Imaging

Grunz,

Huflage

2024

Korean J Radiol

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Section: Current Technical Limitations and Outlookmentioning

confidence: 99%

Photon-Counting Computed Tomography: Experience in Musculoskeletal Imaging

Grunz,

Huflage

2024

Korean J Radiol

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Photon-Counting Detector CT Applications in Musculoskeletal Radiology

Grunz,

Huflage

2024

Invest Radiol

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Photon-counting detectors (PCDs) have emerged as one of the most influential technical developments for medical imaging in recent memory. Surpassing conventional systems with energy-integrating detector technology in many aspects, PCD-CT scanners provide superior spatial resolution and dose efficiency for all radiological subspecialities. Demanding detailed display of trabecular microarchitecture and extensive anatomical coverage frequently within the same scan, musculoskeletal (MSK) imaging in particular can be a beneficiary of PCD-CT's remarkable performance. Since PCD-CT provides users with a plethora of customization options for both image acquisition and reconstruction, however, MSK radiologists need to be familiar with the scanner to unlock its full potential. From filter-based spectral shaping for artifact reduction over full field-of-view ultra-high-resolution scans to postprocessing of single- or dual-source multienergy data, almost every imaging task can be met with an optimized approach in PCD-CT. The objectives of this review were to give an overview of the most promising applications of PCD-CT in MSK imaging to date, to state current limitations, and to highlight directions for future research and developments.

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Iodine quantification of renal lesions: Preliminary results using spectral-based material extraction on photon-counting CT

Tóth,

Chamberlin,

Mendez

et al. 2024

JCIS

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Objectives: To assess the range of quantitative iodine values in renal cysts (RC) (with a few renal neoplasms [RNs] as a comparison) to develop an expected range of values for RC that can be used in future studies for their differentiation. Material and Methods: Consecutive patients (n = 140) with renal lesions who had undergone abdominal examination on a clinical photon-counting computed tomography (PCCT) were retrospectively included. Automated iodine quantification maps were reconstructed, and region of interest (ROI) measurements of iodine concentration (IC) (mg/cm3) were performed on whole renal lesions. In addition, for heterogeneous lesions, a secondary ROI was placed on the area most suspicious for malignancy. The discriminatory values of minimum, maximum, mean, and standard deviation for IC were compared using simple logistic regression and receiver operating characteristic curves (area under the curve [AUC]). Results: A total of 259 renal lesions (243 RC and 16 RN) were analyzed. There were significant differences between RC and RN for all IC measures with the best-performing metrics being mean and maximum IC of the entire lesion ROI (AUC 0.912 and 0.917, respectively) but also mean and minimum IC of the most suspicious area in heterogeneous lesions (AUC 0.983 and 0.992, respectively). Most RC fell within a range of low measured iodine values although a few had higher values. Conclusion: Automated iodine quantification maps reconstructed from clinical PCCT have a high diagnostic ability to differentiate RCs and neoplasms. The data from this pilot study can be used to help establish quantitative values for clinical differentiation of renal lesions.

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Photon-counting detector CT for abdominal imaging: opportunities and challenges

Cited by 3 publications

References 11 publications

Photon-Counting Computed Tomography: Experience in Musculoskeletal Imaging

Photon-Counting Computed Tomography: Experience in Musculoskeletal Imaging

Photon-Counting Detector CT Applications in Musculoskeletal Radiology

Iodine quantification of renal lesions: Preliminary results using spectral-based material extraction on photon-counting CT

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