Characterization of Small (< 4 cm) Focal Renal Lesions: Diagnostic Accuracy of Spectral Analysis Using Single-Phase Contrast-Enhanced Dual-Energy CT

2017 ◽  
Vol 209 (4) ◽  
pp. 815-825 ◽  
Author(s):  
Bhavik N. Patel ◽  
Alex Bibbey ◽  
Kingshuk R. Choudhury ◽  
Richard A. Leder ◽  
Rendon C. Nelson ◽  
...  
2018 ◽  
Vol 211 (3) ◽  
pp. 571-579 ◽  
Author(s):  
Bhavik N. Patel ◽  
Michael Rosenberg ◽  
Federica Vernuccio ◽  
Juan Carlos Ramirez-Giraldo ◽  
Rendon Nelson ◽  
...  

2019 ◽  
Vol 45 (6) ◽  
pp. 1922-1928 ◽  
Author(s):  
Markus M. Obmann ◽  
Aurelio Cosentino ◽  
Joshy Cyriac ◽  
Verena Hofmann ◽  
Bram Stieltjes ◽  
...  

2017 ◽  
Vol 209 (4) ◽  
pp. W221-W230 ◽  
Author(s):  
Achille Mileto ◽  
Brian C. Allen ◽  
Jason A. Pietryga ◽  
Alfredo E. Farjat ◽  
Jessica G. Zarzour ◽  
...  

Author(s):  
Vitali Koch ◽  
Moritz H. Albrecht ◽  
Leon D. Gruenewald ◽  
Ibrahim Yel ◽  
Katrin Eichler ◽  
...  

Abstract Objectives To investigate the diagnostic accuracy of color-coded contrast-enhanced dual-energy CT virtual noncalcium (VNCa) reconstructions for the assessment of lumbar disk herniation compared to unenhanced VNCa imaging. Methods A total of 91 patients were retrospectively evaluated (65 years ± 16; 43 women) who had undergone third-generation dual-source dual-energy CT and 3.0-T MRI within an examination interval up to 3 weeks between November 2019 and December 2020. Eight weeks after assessing unenhanced color-coded VNCa reconstructions for the presence and degree of lumbar disk herniation, corresponding contrast-enhanced portal venous phase color-coded VNCa reconstructions were independently analyzed by the same five radiologists. MRI series were additionally analyzed by one highly experienced musculoskeletal radiologist and served as reference standard. Results MRI depicted 210 herniated lumbar disks in 91 patients. VNCa reconstructions derived from contrast-enhanced CT scans showed similar high overall sensitivity (93% vs 95%), specificity (94% vs 95%), and accuracy (94% vs 95%) for the assessment of lumbar disk herniation compared to unenhanced VNCa images (all p > .05). Interrater agreement in VNCa imaging was excellent for both, unenhanced and contrast-enhanced CT (κ = 0.84 vs κ = 0.86; p > .05). Moreover, ratings for diagnostic confidence, image quality, and noise differed not significantly between unenhanced and contrast-enhanced VNCa series (all p > .05). Conclusions Color-coded VNCa reconstructions derived from contrast-enhanced dual-energy CT yield similar diagnostic accuracy for the depiction of lumbar disk herniation compared to unenhanced VNCa imaging and therefore may improve opportunistic retrospective lumbar disk herniation assessment, particularly in case of staging CT examinations. Key Points • Color-coded dual-source dual-energy CT virtual noncalcium (VNCa) reconstructions derived from portal venous phase yield similar high diagnostic accuracy for the assessment of lumbar disk herniation compared to unenhanced VNCa CT series (94% vs 95%) with MRI serving as a standard of reference. • Diagnostic confidence, image quality, and noise levels differ not significantly between unenhanced and contrast-enhanced portal venous phase VNCa dual-energy CT series. • Dual-source dual-energy CT might have the potential to improve opportunistic retrospective lumbar disk herniation assessment in CT examinations performed for other indications through reconstruction of VNCa images.


Author(s):  
Domenico Mastrodicasa ◽  
Martin J. Willemink ◽  
Nikhil Madhuripan ◽  
Ranjit Singh Chima ◽  
Amanzo A. Ho ◽  
...  

2019 ◽  
Vol 23 (01) ◽  
pp. 026-035 ◽  
Author(s):  
Domenico Albano ◽  
Carmelo Messina ◽  
Salvatore Gitto ◽  
Olympia Papakonstantinou ◽  
Luca Sconfienza

AbstractImaging has a pivotal role in the detection and characterization of spine bone tumors (SBTs), especially using magnetic resonance (MR) imaging and computed tomography (CT). Although MR performed with conventional pulse sequences has a robust reliability in the assessment of SBTs, some imaging features of benign lesions and malignancies overlap, making the differential diagnosis challenging. Several imaging tools are now available to perform a correct interpretation of images of SBTs including diffusion-weighted imaging, dynamic contrast-enhanced MR, Dixon sequences, and dual-energy CT. Nevertheless, strengths and weaknesses of imaging modalities should be kept in mind, and it is crucial to be aware of the pitfalls that can be encountered in daily clinical practice when dealing with these lesions. This review provides an overview on the main challenges encountered when dealing with SBTs, providing some tricks of the trade to avoid possible diagnostic traps.


2021 ◽  
pp. 028418512110103
Author(s):  
Yuqin Ding ◽  
Mathias Meyer ◽  
Peijie Lyu ◽  
Francesca Rigiroli ◽  
Juan Carlos Ramirez-Giraldo ◽  
...  

Background The value of dual-energy computed tomography (DECT)-based radiomics in renal lesions is unknown. Purpose To develop DECT-based radiomic models and assess their incremental values in comparison to conventional measurements for differentiating enhancing from non-enhancing small renal lesions. Material and Methods A total of 349 patients with 519 small renal lesions (390 non-enhancing, 129 enhancing) who underwent contrast-enhanced nephrographic phase DECT examinations between June 2013 and January 2020 on multiple DECT platforms were retrospectively recruited. Cohort A included all lesions, while cohort B included Bosniak II–IV and solid enhancing renal lesions. Radiomic models were built with features selected by the least absolute shrinkage and selection operator regression (LASSO). ROC analyses were performed to compare the diagnostic accuracy among conventional and radiomic models for predicting enhancing renal lesions. Results The individual iodine concentration (IC), normalized IC, mean attenuation on 75-keV images, radiomic model of iodine images, 75-keV images and a combined model integrating all the above-mentioned features all demonstrated high AUCs for predicting renal lesion enhancement in cohort A (AUCs = 0.934–0.979) as well as in the test dataset (AUCs = 0.892–0.962) of cohort B ( P values with Bonferroni correction >0.003). The AUC (0.864) of mean attenuation on 75-keV images was significantly lower than those of other models (all P values ≤0.001) except the radiomic model of 75-keV images ( P = 0.038) in the training dataset of cohort B. Conclusion No incremental value was found by adding radiomic and machine learning analyses to iodine images for differentiating enhancing from non-enhancing renal lesions.


2016 ◽  
Vol 89 (1062) ◽  
pp. 20150860 ◽  
Author(s):  
Dongik Cha ◽  
Chan Kyo Kim ◽  
Jung Jae Park ◽  
Byung Kwan Park

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