In Vivo Evaluation of the Chemical Composition of Urinary Stones Using Dual-Energy CT

2011 ◽  
Vol 197 (1) ◽  
pp. W76-W83 ◽  
Author(s):  
Giuseppina Manglaviti ◽  
Silvia Tresoldi ◽  
Chiara Stefania Guerrer ◽  
Giovanni Di Leo ◽  
Emanuele Montanari ◽  
...  
Keyword(s):  
Chemical Composition ◽  
Dual Energy ◽  
Urinary Stones ◽  
Dual Energy Ct ◽  
In Vivo Evaluation

Dual-energy CT for the characterization of urinary calculi: In vitro and in vivo evaluation of a low-dose scanning protocol

2009 ◽  
Vol 19 (6) ◽  
pp. 1553-1559 ◽  
Author(s):  
C. Thomas ◽  
O. Patschan ◽  
D. Ketelsen ◽  
I. Tsiflikas ◽  
A. Reimann ◽  
...  
Keyword(s):  
Low Dose ◽  
Urinary Calculi ◽  
Dual Energy ◽  
Dual Energy Ct ◽  
In Vivo Evaluation ◽  
Scanning Protocol

scholarly journals Single-energy CT predicts uric acid stones with accuracy comparable to dual-energy CT—prospective validation of a quantitative method

2021 ◽  
Author(s):  
Johan Jendeberg ◽  
Per Thunberg ◽  
Marcin Popiolek ◽  
Mats Lidén
Keyword(s):  
Uric Acid ◽  
Ct Scan ◽  
Prediction Models ◽  
Urinary Stone ◽  
Dual Energy ◽  
Urinary Stones ◽  
Dual Energy Ct ◽  
K Nearest Neighbors ◽  
Uric Acid Stones

Abstract Objectives To prospectively validate three quantitative single-energy CT (SE-CT) methods for classifying uric acid (UA) and non-uric acid (non-UA) stones. Methods Between September 2018 and September 2019, 116 study participants were prospectively included in the study if they had at least one 3–20-mm urinary stone on an initial urinary tract SE-CT scan. An additional dual-energy CT (DE-CT) scan was performed, limited to the stone of interest. Additionally, to include a sufficient number of UA stones, eight participants with confirmed UA stone on DE-CT were retrospectively included. The SE-CT stone features used in the prediction models were (1) maximum attenuation (maxHU) and (2) the peak point Laplacian (ppLapl) calculated at the position in the stone with maxHU. Two prediction models were previously published methods (ppLapl-maxHU and maxHU) and the third was derived from the previous results based on the k-nearest neighbors (kNN) algorithm (kNN-ppLapl-maxHU). The three methods were evaluated on this new independent stone dataset. The reference standard was the CT vendor’s DE-CT application for kidney stones. Results Altogether 124 participants (59 ± 14 years, 91 men) with 106 non-UA and 37 UA stones were evaluated. For classification of UA and non-UA stones, the sensitivity, specificity, and accuracy were 100% (37/37), 97% (103/106), and 98% (140/143), respectively, for kNN-ppLapl-maxHU; 95% (35/37), 98% (104/106), and 97% (139/143) for ppLapl-maxHU; and 92% (34/37), 94% (100/106), and 94% (134/143) for maxHU. Conclusion A quantitative SE-CT method (kNN-ppLapl-maxHU) can classify UA stones with accuracy comparable to DE-CT. Key Points • Single-energy CT is the first-line diagnostic tool for suspected renal colic. • A single-energy CT method based on the internal urinary stone attenuation distribution can classify urinary stones into uric acid and non-uric acid stones with high accuracy. • This immensely increases the availability of in vivo stone analysis.

scholarly journals Diagnostic validity of dual-energy CT in determination of urolithiasis chemical composition: In vivo analysis

2018 ◽  
Vol 49 (2) ◽  
pp. 499-508
Author(s):  
Mohammad Abd Alkhalik Basha ◽  
Mohamad Zakarya AlAzzazy ◽  
Moanes Mohamed Enaba
Keyword(s):  
Chemical Composition ◽  
Dual Energy ◽  
Dual Energy Ct ◽  
Diagnostic Validity ◽  
In Vivo Analysis

scholarly journals COMPARATIVE ANALYSIS OF DATA FROM A DUAL-ENERGY COMPUTER TOMOGRAPH AND THE RESULTS OF A MINERALOGICAL RESEARCH OF URINARY STONES

2018 ◽  
pp. 54-58 ◽  
Author(s):  
T. Kh. Nazarov ◽  
I. V. Rychkov ◽  
D. G. Lebedev ◽  
K. E. Trubnikova
Keyword(s):  
Computed Tomography ◽  
Uric Acid ◽  
High Sensitivity ◽  
Dual Energy ◽  
Average Density ◽  
Urinary Stones ◽  
Infrared Spectrometry ◽  
Dual Energy Ct

Introduction. The idea of using dual-energy computed tomography (DECT) originated in the early development of computed tomography (CT). However, only recently, advances in radiation diagnosis have made it possible to use dual-energy CT for routine clinical use. We describes the characteristic features of dual-energy CT scanners, as well as the results of a study of 245 patients with urolithiasis, the identification of urinary stones in vivo and the subsequent comparative characteristics with mineralogical studies of uroliths. Purpose. Evaluate the possibility of using DECT in the diagnosis of urolithiasis with the determination of the chemical composition of urinary stones in vivo. Materials and methods. A group of patients (n=245) aged 18 to 84 years was examined. All patients with the established diagnosis-urolithiasis-were treated with DECT (Somatom Definition, Siemens, Forchheim, Germany) with data processing, then in-vitro infrared spectrometry (IR-Alpha-P spectrometer) to determine the true composition of the calcu lus. Results. After conducting the DECT and then ROC analysis and comparing the results with the IR-spectrometry data, it was established that stones with an average density of less than 500 HU according to DECT can be attributed to urate, with a uric acid content of more than 50% with a sensitivity of 91,1% (34 stones of 35) and specificity of 100% — the content of uric acid is also determined in polymineral calculi with a content of less than 50%. The knowledge gained on the composition and structure of the stone in vivo can subsequently be used in pathogenetic treatment and prevention of complications in patients with urolithiasis, and influence the choice of the tactics of removing the uroliths. Conclusions. The obtained results give the right to apply DECT in the diagnosis of urolithiasis, and with high sensitivity to identify urate stones in vivo, thereby influencing the choice of the tactics of removal of uroliths and pathogenetic treatment, as well as the prevention of complications in patients with urolithiasis.

MO118ROLE OF DUAL ENERGY COMPUTED TOMOGRAPHY IN PREDICTING THE CHEMICAL COMPOSITION OF STONES

2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
Dr Sanjay Bhat ◽  
Anupma Kaul
Keyword(s):  
Computed Tomography ◽  
Chemical Composition ◽  
Calcium Oxalate ◽  
Comparative Method ◽  
Renal Stones ◽  
Dual Energy ◽  
Urinary Stones ◽  
Dual Energy Ct ◽  
Reliable Determination ◽  
Highly Sensitive

Abstract Background and Aims Dual-energy CT (DECT) has shown excellent outcomes in differentiating the chemical composition of the urinary stones with a great accuracy. A reliable determination of the chemical type of the stone help the clinician to better satisfy treatment options for the patient- medical versus surgery We used the DECT in our study to assess the accuracy of non-invasive differentiation of renal stones using the 3rd generation dual-source computed tomography (CT) scanner in determining the chemical composition of renal stones and to determine appropriate management based on DECT determined chemical composition of stones. Method This prospective study was conducted in the Department of surgery and radiodiagnosis and Imaging, Era Medical College and RML institute of Medical Sciences , Lucknow over the study period, i.e., November 2016 to May 2018 . The patients were those referred for non-contrast/contrast CT for the diagnosis/evaluation of urolithiasis from the department of Surgery admitted for PCNL/ESWL/therapeutic ureterorenoscopy. DECT ratios of the various stones were noted and compared with the post extraction analysis of stones for composition. A total of 100 patients were included in the study, and their DECT results were compared with the post-extraction analysis (by infrared spectroscopy as the standard comparative method). Results Mean age of patients was 41.15+/- 10.08 years with 64% being males. DECT was highly sensitive and specific in the diagnosis of various types of calculi based on their dual-energy ratio. It was found to be 100% sensitivity and 97.2% specificity for differentiating UA stones with level of agreement between chemical and DECT was almost perfect (k= .951) .However for hydroxyapatite stones was substantial (k=.889). Most of the stones belonged to non-UA category (72%), and only 28% were UA calculi. The sensitivity and specificity in differentiating a calcium oxalate from non-calcium oxalate calculus was 94.1% and 95.5%, respectively. Conclusion DECT highly sensitive and effective in characterizing chemical composition of the urinary stones and can help in determining the management plan and reduce the unnecessary burden of surgical interventions.

scholarly journals In vivo identification of uric acid stones with dual-energy CT: diagnostic performance evaluation in patients

2009 ◽  
Vol 35 (5) ◽  
pp. 629-635 ◽  
Author(s):  
Paul Stolzmann ◽  
Marko Kozomara ◽  
Natalie Chuck ◽  
Michael Müntener ◽  
Sebastian Leschka ◽  
...  
Keyword(s):  
Uric Acid ◽  
Performance Evaluation ◽  
Diagnostic Performance ◽  
Dual Energy ◽  
Dual Energy Ct ◽  
Uric Acid Stones

In Vivo Comparison of Radiation Exposure in Third Generation versus Second Generation Dual-Source Dual-Energy CT for Imaging Urinary Calculi

2021 ◽  
Author(s):  
Jonathan P Lam ◽  
Lauren F Alexander ◽  
William E Haley ◽  
David O Hodge ◽  
James M Kofler ◽  
...  
Keyword(s):  
Radiation Exposure ◽  
Second Generation ◽  
Urinary Calculi ◽  
Dual Energy ◽  
Dual Energy Ct ◽  
Third Generation ◽  
Dual Source

Dual-Energy CT–based Phantomless in Vivo Three-dimensional Bone Mineral Density Assessment of the Lumbar Spine

Radiology ◽  
2014 ◽  
Vol 271 (3) ◽  
pp. 778-784 ◽  
Author(s):  
Julian L. Wichmann ◽  
Christian Booz ◽  
Stefan Wesarg ◽  
Konstantinos Kafchitsas ◽  
Ralf W. Bauer ◽  
...  
Keyword(s):  
Bone Mineral Density ◽  
Lumbar Spine ◽  
Bone Mineral ◽  
Three Dimensional ◽  
Dual Energy ◽  
Dual Energy Ct ◽  
Mineral Density ◽  
Bone Mineral Density Assessment ◽  
Density Assessment

scholarly journals Identification of benign and malignant thyroid nodules by in vivo iodine concentration measurement using single-source dual energy CT

Medicine ◽  
2016 ◽  
Vol 95 (39) ◽  
pp. e4816 ◽  
Author(s):  
Shun-Yu Gao ◽  
Xiao-Yan Zhang ◽  
Wei Wei ◽  
Xiao-Ting Li ◽  
Yan-Ling Li ◽  
...  
Keyword(s):  
Thyroid Nodules ◽  
Iodine Concentration ◽  
Dual Energy ◽  
Concentration Measurement ◽  
Dual Energy Ct ◽  
Single Source

scholarly journals Urinary stones: The contribution of dual energy CT and material decomposition

2013 ◽  
Vol 94 (11) ◽  
pp. 1165-1168 ◽  
Author(s):  
C. Sanavi ◽  
C. Werquin ◽  
A. Fekir ◽  
C. Pinson ◽  
H. Bugel ◽  
...  
Keyword(s):  
Dual Energy ◽  
Urinary Stones ◽  
Dual Energy Ct ◽  
Material Decomposition
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