Role of Dual-Energy Computed Tomography in Gallbladder Disease: A Review

Singh, Thakar; Gupta, Pankaj

doi:10.1055/s-0042-1743173

Cited by 7 publications

(3 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In a recent systematic review, the US features of benign and malignant gallbladder wall thickening were reported [69]. A few novel imaging techniques, including DECT and texture analysis, have recently been investigated to increase the accuracy of detection of malignant gallbladder wall thickening [70][71][72]. Additionally, a gallbladder reporting and data system (GB-RADS) has been proposed to stratify the risk of malignant gallbladder wall thickening in US [73].…”

Section: Differentiating Benign From Malignant Gallbladder Wall Thick...mentioning

confidence: 99%

Imaging patterns of wall thickening type of gallbladder cancer

Soundararajan¹,

Marodia²,

Gupta³

et al. 2022

ceh

View full text Add to dashboard Cite

Gallbladder cancer (GBC) has a high incidence in certain geographical regions. Morphologically, GBC presents as a mass replacing the gallbladder, a polypoidal lesion, or wall thickening. The incidence of preoperative diagnosis of wall thickening type of GBC is less well studied. The patterns of mural involvement and extramural spread are not well described in the literature. Additionally, wall thickening in the gallbladder does not always indicate malignancy and can be secondary to inflammatory or benign gallbladder diseases and extracholecystic causes and systemic pathologies. Objective reporting of gallbladder wall thickening will help us appreciate GBC's early features. In this review, we illustrate the imaging patterns of wall thickening type of GBC.

show abstract

Section: Differentiating Benign From Malignant Gallbladder Wall Thick...mentioning

confidence: 99%

Imaging patterns of wall thickening type of gallbladder cancer

Soundararajan¹,

Marodia²,

Gupta³

et al. 2022

ceh

View full text Add to dashboard Cite

show abstract

“…In this context, dual-energy CT (DECT) has been proven to be a highly accurate method for tumor assessment due to its shown improved material characterization and differentiation compared to conventional single-energy CT [14,15]. In this context, DECT postprocessing provides a variety of additional quantitative parameters of tumor characteristics, including atomic number maps (Rho/Z) showing the Rho and Z of lesions [16,17]. Numerous studies have assessed DECT advantages, especially in oncology [14,[18][19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Advancing Differentiation of Hepatic Metastases in Malignant Melanoma through Dual-Energy Computed Tomography Rho/Z Maps

Yel,

Koch,

Gruenewald

et al. 2024

Diagnostics

View full text Add to dashboard Cite

Objectives: The aim of this study is to evaluate the diagnostic accuracy of dual-energy computed tomography (DECT)-based Rho/Z maps in differentiating between metastases and benign liver lesions in patients diagnosed with malignant melanoma compared to conventional CT value measurements. Methods: This retrospective study included 73 patients (mean age, 70 ± 13 years; 43 m/30 w) suffering from malignant melanoma who had undergone third-generation DECT as part of tumor staging between December 2017 and December 2021. For this study, we measured Rho (electron density) and Z (effective atomic number) values as well as Hounsfield units (HUs) in hypodense liver lesions. Values were compared, and diagnostic accuracy for differentiation was computed using receiver operating characteristic (ROC) curve analyses. Additional performed MRI or biopsies served as a standard of reference. Results: A total of 136 lesions (51 metastases, 71 cysts, and 14 hemangiomas) in contrast-enhanced DECT images were evaluated. The most notable discrepancy (p < 0.001) between measured values and the highest diagnostic accuracy for distinguishing melanoma metastases from benign cysts was observed for the Z (0.992; 95% CI, 0.956–1) parameters, followed by Rho (0.908; 95% CI, 0.842–0.953) and finally HU120kV (0.829; 95% CI, 0.751–0.891). Conversely, when discriminating between liver metastases and hemangiomas, the HU120kV parameters showed the most significant difference (p < 0.001) and yielded the highest values for diagnostic accuracy (0.859; 95% CI, 0.740–0.937), followed by the Z parameters (0.790; 95% CI, 0.681–0.876) and finally the Rho values (0.621; 95% CI, 0.501–0.730). Conclusions: Rho and Z measurements derived from DECT allow for improved differentiation of liver metastases and benign liver cysts in patients with malignant melanoma compared to conventional CT value measurements. In contrast, in differentiation between liver hemangiomas and metastases, Rho/Z maps show inferior diagnostic accuracy. Therefore, differentiation between these two lesions remains a challenge for CT imaging.

show abstract

“…In the following article, Marri and Madhusudhan 3 have explained the role of DECT in the evaluation of diffuse liver diseases like fat/iron deposition and fibrosis. In the subsequent article, Singh et al 4 have discussed the use of DECT in evaluating gall bladder pathologies. Further in the issue, Mroueh et al 5 have explained the role of DECT in pancreas imaging with applications in pathologies like pancreatitis, trauma, and pancreatic neoplasms.…”

mentioning

confidence: 99%