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Chakravarti S, Uyeda JW. Expanding Role of Dual-Energy CT for Genitourinary Tract Assessment in the Emergency Department, From the AJR Special Series on Emergency Radiology. AJR Am J Roentgenol 2023; 221:720-730. [PMID: 37073900 DOI: 10.2214/ajr.22.27864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/20/2023]
Abstract
Among explored applications of dual-energy CT (DECT) in the abdomen and pelvis, the genitourinary (GU) tract represents an area where accumulated evidence has established the role of DECT to provide useful information that may change management. This review discusses established applications of DECT for GU tract assessment in the emergency department (ED) setting, including characterization of renal stones, evaluation of traumatic injuries and hemorrhage, and characterization of incidental renal and adrenal findings. Use of DECT for such applications can reduce the need for additional multiphase CT or MRI examinations and reduce follow-up imaging recommendations. Emerging applications are also highlighted, including use of low-energy virtual monoenergetic images (VMIs) to improve image quality and potentially reduce contrast media doses and use of high-energy VMIs to mitigate renal mass pseudoenhancement. Finally, implementation of DECT into busy ED radiology practices is presented, weighing the trade-off of additional image acquisition, processing time, and interpretation time against potential additional useful clinical information. Automatic generation of DECT-derived images with direct PACS transfer can facilitate radiologists' adoption of DECT in busy ED environments and minimize impact on interpretation times. Using the described approaches, radiologists can apply DECT technology to improve the quality and efficiency of care in the ED.
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Affiliation(s)
| | - Jennifer W Uyeda
- Department of Emergency Radiology, Brigham and Women's Hospital/Harvard Medical School, 75 Francis St, Boston, MA 02115
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2
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Chartier S, Arif-Tiwari H. MR Virtual Biopsy of Solid Renal Masses: An Algorithmic Approach. Cancers (Basel) 2023; 15:2799. [PMID: 37345136 DOI: 10.3390/cancers15102799] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 05/12/2023] [Accepted: 05/12/2023] [Indexed: 06/23/2023] Open
Abstract
Between 1983 and 2002, the incidence of solid renal tumors increased from 7.1 to 10.8 cases per 100,000. This is in large part due to the increase in the volume of ultrasound and cross-sectional imaging, although a majority of solid renal tumors are still found incidentally. Ultrasound and computed tomography (CT) have been the mainstay of renal mass screening and diagnosis but recent advances in magnetic resonance (MR) technology have made this the optimal choice when diagnosing and staging renal tumors. Our purpose in writing this review is to survey the modern MR imaging approach to benign and malignant solid renal tumors, consolidate the various imaging findings into an easy-to-read reference, and provide an imaging-based, algorithmic approach to renal mass characterization for clinicians. MR is at the forefront of renal mass characterization, surpassing ultrasound and CT in its ability to describe multiple tissue parameters and predict tumor biology. Cutting-edge MR protocols and the integration of diagnostic algorithms can improve patient outcomes, allowing the imager to narrow the differential and better guide oncologic and surgical management.
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Affiliation(s)
- Stephane Chartier
- Department of Medical Imaging, College of Medicine, The University of Arizona, Tucson, AZ 85724, USA
| | - Hina Arif-Tiwari
- Department of Medical Imaging, College of Medicine, The University of Arizona, Tucson, AZ 85724, USA
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Agostini A, Borgheresi A, Mariotti F, Ottaviani L, Carotti M, Valenti M, Giovagnoni A. New frontiers in oncological imaging with Computed Tomography: from morphology to function. Semin Ultrasound CT MR 2023; 44:214-227. [PMID: 37245886 DOI: 10.1053/j.sult.2023.03.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
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4
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French AFU Cancer Committee Guidelines - Update 2022-2024: management of kidney cancer. Prog Urol 2022; 32:1195-1274. [DOI: 10.1016/j.purol.2022.07.146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2022] [Revised: 07/14/2022] [Accepted: 07/18/2022] [Indexed: 11/17/2022]
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5
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Direct Comparison of Diagnostic Accuracy of Fast Kilovoltage Switching Dual-Energy Computed Tomography and Magnetic Resonance Imaging for Detection of Enhancement in Renal Masses. J Comput Assist Tomogr 2022; 46:862-870. [DOI: 10.1097/rct.0000000000001361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Cao J, Lennartz S, Pisuchpen N, Parakh A, Kambadakone A. Attenuation values on virtual unenhanced images obtained with detector-based dual-energy computed tomography: observations on single- and split-bolus contrast protocols. Abdom Radiol (NY) 2022; 47:3019-3027. [PMID: 34687325 DOI: 10.1007/s00261-021-03273-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Revised: 09/01/2021] [Accepted: 09/02/2021] [Indexed: 01/18/2023]
Abstract
PURPOSE To compare virtual unenhanced (VUE) attenuation values and their agreement with true unenhanced (TUE) images in patients who underwent dual-layer detector-based dual-energy computed tomography (dlDECT) with single- vs. split-bolus contrast media protocol. METHODS In this HIPAA-compliant, IRB-approved retrospective analysis, a total of 105 patients who underwent nephrographic phase (NP) dlDECT between 07/2018 and 11/2019 were included: 55 patients received single bolus and 50 patients split-bolus examinations. Both scan protocols comprised a TUE and 120-kVp NP acquisition from which VUE images were reconstructed. A radiologist performed ROI-based attenuation measurements of liver parenchyma, main portal vein, aorta, spleen, renal parenchyma, and pelvis on TUE and VUE images. Agreement between TUE and VUE images was determined and compared for both protocols and each anatomic region. RESULTS VUE attenuation was significantly higher than TUE attenuation in both cohorts in the liver, portal vein, spleen, and renal parenchyma (p < 0.05), while it was similar in the abdominal aorta in both cohorts (p = 0.05, 0.7522, respectively). VUE attenuation was significantly higher than TUE attenuation in the renal pelvis of the split-bolus cohort (p < 0.05). When comparing VUE images between single- and split-bolus protocols, the renal parenchyma yielded a significantly higher VUE attenuation in the single-bolus cohort (single bolus: 38.8 ± 3.3 HU vs. split bolus: 36.8 ± 3.6 HU; p < 0.05), whereas the split-bolus cohort revealed markedly higher VUE attenuation in the renal pelvis (single bolus: 2.3 ± 10.8 HU vs. split bolus: 92.3 ± 76.8; p < 0.05). Mean intra-patient differences between TUE and VUE images were comparable between single- and split-bolus cohorts (p-range 0.09-0.35) except for the renal parenchyma and pelvis: in the first, the single-bolus cohort yielded a higher VUE attenuation, while in the second, attenuation was significantly higher in the split-bolus cohort (p < 0.05). CONCLUSION VUE attenuation overestimated TUE attenuation and differed between split- and single-bolus protocols for the renal parenchyma and pelvis, while all other tissues showed comparable VUE attenuation.
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Affiliation(s)
- Jinjin Cao
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White 270, Boston, MA, 02114-2696, USA
| | - Simon Lennartz
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White 270, Boston, MA, 02114-2696, USA
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University Cologne, Kerpener Straße 62, 50937, Cologne, Germany
| | - Nisanard Pisuchpen
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White 270, Boston, MA, 02114-2696, USA
- Department of Radiology, King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Anushri Parakh
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White 270, Boston, MA, 02114-2696, USA
| | - Avinash Kambadakone
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White 270, Boston, MA, 02114-2696, USA.
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Aggarwal A, Das CJ, Sharma S. Recent advances in imaging techniques of renal masses. World J Radiol 2022; 14:137-150. [PMID: 35978979 PMCID: PMC9258310 DOI: 10.4329/wjr.v14.i6.137] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 03/04/2022] [Accepted: 06/17/2022] [Indexed: 02/06/2023] Open
Abstract
Multiphasic multidetector computed tomography (CT) forms the mainstay for the characterization of renal masses whereas magnetic resonance imaging (MRI) acts as a problem-solving tool in some cases. However, a few of the renal masses remain indeterminate even after evaluation by conventional imaging methods. To overcome the deficiency in current imaging techniques, advanced imaging methods have been devised and are being tested. This review will cover the role of contrast-enhanced ultrasonography, shear wave elastography, dual-energy CT, perfusion CT, MR perfusion, diffusion-weighted MRI, blood oxygen level-dependent MRI, MR spectroscopy, positron emission tomography (PET)/prostate-specific membrane antigen-PET in the characterization of renal masses.
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Affiliation(s)
- Ankita Aggarwal
- Department of Radiology, Vardhman Mahavir Medical College& Safdarjung Hospital, Delhi 110029, India
| | - Chandan J Das
- Department of Radiodiagnosis and Interventional Radiology, All India Institute of Medical Sciences, Delhi 110029, India
| | - Sanjay Sharma
- Department of Radiology (RPC), All India Institute of Medical Sciences, New Delhi 110029, India
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Abdelmegeed SA, Farok HM, Refaat MM, Eldiasty TAE. Role of multidetector ct in quantitative enhancement- washout analysis of solid renal masses. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2021. [DOI: 10.1186/s43055-021-00650-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Enhancement washout technique in solid renal masses using multidetector computed tomography (MDCT) can differentiate different type of lesions. 99 Patients who are presenting with suspected renal masses or renal tumour for staging are included in this study. CT examination are carried out at urology and nephrology centre using MDCT. The attenuation values (Hounsfield Unit) will be assesed for each lesion on the pre enhanced, corticomedullary, nephrographic and delayed phases. Washout ratio will be calculated for each phase of enhancement in comparison to the unenhanced attenuation value. The characteristics of enhancement-washout will be correlated with the final histopathological diagnosis.
Results
Early enhancement and washout pattern was noted in 54 renal lesions (54.5%) representing 4 types of renal lesions; Oncocytoma (n = 13), clear cell renal cell carcinoma (n = 16), Chromophobe renal cell carcinoma (n = 15) and unclassified renal cell carcinoma (n = 10).Prolonged enhancement pattern was noted 45 lesions (45.4%); PRCC (n = 14), 10 case of lipid poor AML (n = 10), metanephric adenoma (n = 10) and Xp11 RCC (n = 11). High pre-contrast attenuation was noted in Xp 11RCC showing attenuation value 41.7 ± 6.823HU. The highest CMP values were noted in CCRCC (151.9 ± 20.4) followed by oncocytomas (137.6 ± 19.15HU) and then CHRCC (123.6 ± 16.6 HU)while the lowest values were noted in Metanephric adenoma)57.1 ± 17.4HU)and followed by PRCC (59.9 ± 4.8)and followed by lipid poor AML (79.17 ± 13.666) and RCC unclassified (89.06 ± 18.1).
Conclusions
Four-phase MDCT (the unenhanced, corticomedullary, nephrographic, and excretory phases) evaluate role of MDCT in differentiation of solid renal masses.
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Walker D, Udare A, Chatelain R, McInnes M, Flood T, Schieda N. Utility of material-specific fat images derived from rapid-kVp-switch dual-energy renal mass CT for diagnosis of renal angiomyolipoma. Acta Radiol 2021; 62:1263-1272. [PMID: 32957794 DOI: 10.1177/0284185120959819] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Renal angiomyolipoma (AML) are benign masses that require detection of macroscopic fat for accurate diagnosis. PURPOSE To evaluate fat material-specific images derived from dual-energy computed tomography (DECT) to diagnose renal AML. MATERIAL AND METHODS This retrospective case-control study evaluated 25 renal AML and 44 solid renal masses (41 renal cell carcinomas, three other tumors) imaged with rapid-kVp-switch DECT (120 kVp non-contrast-enhanced [NECT], 70-keV corticomedullary [CM], and 120-kVp nephrographic [NG]-phase CECT) during 2017-2018. A radiologist measured attenuation (Hounsfield Units [HU]) on NECT, CM-CECT, NG-CECT, and fat concentration (mg/mL) using fat-water base-pair images. RESULTS At NECT, 100% (44/44) non-AML and 4.0% (1/25) AML measured >-15 HU. At CM-CECT and NG-CECT, 24.0% (6/25) and 20.0% (5/25) AML measured >-15 HU (size 6-20 mm). To diagnose AML, area under receiver operating characteristic curve (AUC) using -15 HU was: 0.98 (95% confidence interval [CI] 0.98-1.00) NECT, 0.88 (95% CI 0.79-0.91) CM-CECT, and 0.90 (95% CI 0.82-0.98) NG-CECT. At DECT, fat concentration was higher in AML (163.7 ± 333.9 [-553.0 to 723.5] vs. -2858.1 ± 460.3 [-2421.2 to -206.0] mg/mL, P<0.001). AUC to diagnose AML using ≥-206.0 mg/mL threshold was 0.98 (95% CI 0.95-1.0) with sensitivity/specificity of 92.0%/96.7%. Of AML, 8.0% (2/25) were incorrectly classified; one of these was fat-poor. AUC was higher for fat concentration compared to HU measurements on CM-CECT and NG-CECT (P=0.009-0.050) and similar to NECT (P=0.98). CONCLUSION DECT material-specific fat images can help confirm the presence of macroscopic fat in renal AML which may be useful to establish a diagnosis if unenhanced CT is unavailable.
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Affiliation(s)
- Daniel Walker
- Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, Ottawa, ON, Canada
| | - Amar Udare
- Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, Ottawa, ON, Canada
| | - Robert Chatelain
- Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, Ottawa, ON, Canada
| | - Matthew McInnes
- Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, Ottawa, ON, Canada
| | - Trevor Flood
- Department of Anatomical Pathology, The Ottawa Hospital, University of Ottawa, Ottawa, ON, Canada
| | - Nicola Schieda
- Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, Ottawa, ON, Canada
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Abstract
With the ever increasing trend of using cross-section imaging in today's era, incidental detection of small solid renal masses has dramatically multiplied. Coincidentally, the number of asymptomatic benign lesions being detected has also increased. The role of radiologists is not only to identify these lesions, but also go a one step further and accurately characterize various renal masses. Earlier detection of small renal cell carcinomas means identifying at the initial stage which has an impact on prognosis, patient management and healthcare costs. In this review article we share our experience with the typical and atypical solid renal masses encountered in adults in routine daily practice.
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Affiliation(s)
- Mahesh Kumar Mittal
- Department of Radiodiagnosis, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, India
| | - Binit Sureka
- Department of Radiology, Institute of Liver and Biliary Sciences, New Delhi, India
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Low monoenergetic DECT detection of pyelonephritis extent. Eur J Radiol 2021; 142:109837. [PMID: 34339954 DOI: 10.1016/j.ejrad.2021.109837] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2021] [Revised: 06/22/2021] [Accepted: 06/23/2021] [Indexed: 12/23/2022]
Abstract
OBJECTIVES To determine whether contrast enhanced DECT low monoenergetic can improve diagnostic conspicuity of inflamed kidney foci in acute pyelonephritis compared to conventional images. MATERIALS AND METHODS A retrospective study of 45 patients with clinical signs of acute pyelonephritis undergoing contrast-enhanced exams on a single source-DECT was conducted. Representative conventional and monoenergetic images were randomized and presented to four abdominal radiologists to determine their preference for inflamed kidney foci detection, and to determine the number of foci identified. Clinical impact of monoenergetic images was assessed using multivariant analysis. Contrast and signal to noise ratios were compared between the images using paired t-tests. RESULTS A greater number of foci were detected on the low energetic images for each patient (6.4 ± 5.3 vs. 4.2 ± 3.8, p < 0.02). Additionally, a consistent linear increase in the number of detected foci on the monoenergetic compared to the conventional images was seen (y = 0.10X + 0.36 R2 = 0.76). Most notably, in 16% of kidneys a clearly definable focus was detected only on monoenergetic images. SNR and CNR were increased by 2 and 1.5 fold for monoenergetic compared to conventional images (p < 0.001). Monoenergetic images were preferred by all readers for detecting inflamed foci (162/180 reads, P < 0.05), with 79% interreader reliability. CONCLUSION Low monoenergetic images enable increased detection of inflamed kidney parenchyma, and permit identification of pathologic foci some of which were not seen on the conventional images. Along with the strong preference of radiologists, these images should be considered beneficial for evaluating acute pyelonephritis.
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Chen M, Yin F, Yu Y, Zhang H, Wen G. CT-based multi-phase Radiomic models for differentiating clear cell renal cell carcinoma. Cancer Imaging 2021; 21:42. [PMID: 34162442 PMCID: PMC8220848 DOI: 10.1186/s40644-021-00412-8] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Accepted: 06/09/2021] [Indexed: 01/08/2023] Open
Abstract
Background The aim of the study is to compare the diagnostic value of models that based on a set of CT texture and non-texture features for differentiating clear cell renal cell carcinomas(ccRCCs) from non-clear cell renal cell carcinomas(non-ccRCCs). Methods A total of 197 pathologically proven renal tumors were divided into ccRCC(n = 143) and non-ccRCC (n = 54) groups. The 43 non-texture features and 296 texture features that extracted from the 3D volume tumor tissue were assessed for each tumor at both Non-contrast Phase, NCP; Corticomedullary Phase, CMP; Nephrographic Phase, NP and Excretory Phase, EP. Texture-score were calculated by the Least Absolute Shrinkage and Selection Operator (LASSO) to screen the most valuable texture features. Model 1 contains the three most distinctive non-texture features with p < 0.001, Model 2 contains texture scores, and Model 3 contains the above two types of features. Results The three models shown good discrimination of the ccRCC from non-ccRCC in NCP, CMP, NP, and EP. The area under receiver operating characteristic curve (AUC)values of the Model 1, Model 2, and Model 3 in differentiating the two groups were 0.748–0.823, 0.776–0.887 and 0.864–0.900, respectively. The difference in AUC between every two of the three Models was statistically significant (p < 0.001). Conclusions The predictive efficacy of ccRCC was significantly improved by combining non-texture features and texture features to construct a combined diagnostic model, which could provide a reliable basis for clinical treatment options.
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Affiliation(s)
- Menglin Chen
- Medical Imaging teaching and research office, Nanfang hospital, Southern Medical University, No.1838 Guangzhoudadao Avenue north, Guangzhou, 510515, Guangdong, China.,Radiology department, The second affiliated hospital of Kunming medical university, No. 374 Dianmian Road, Kunming, 650032, Yunnan, China
| | - Fu Yin
- College of Electronics and Information Engineering, Shenzhen University, Shenzhen, 518068, China
| | - Yuanmeng Yu
- Department of MRI, The First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, No. 157 Jinbi Road, Kunming, 650032, Yunnan, China
| | - Haijie Zhang
- Department of Radiology, Shenzhen Second People's Hospital, No.3002, West Sungang Road, Futian District, Shenzhen, 518052, China.
| | - Ge Wen
- Medical Imaging teaching and research office, Nanfang hospital, Southern Medical University, No.1838 Guangzhoudadao Avenue north, Guangzhou, 510515, Guangdong, China.
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Schwartz FR, Clark DP, Ding Y, Ramirez-Giraldo JC, Badea CT, Marin D. Evaluating renal lesions using deep-learning based extension of dual-energy FoV in dual-source CT-A retrospective pilot study. Eur J Radiol 2021; 139:109734. [PMID: 33933837 DOI: 10.1016/j.ejrad.2021.109734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Revised: 03/22/2021] [Accepted: 04/19/2021] [Indexed: 11/17/2022]
Abstract
PURPOSE Dual-source (DS) CT, dual-energy (DE) field of view (FoV) is limited to the size of the smaller detector array. The purpose was to establish a deep learning-based approach to DE extrapolation by estimating missing image data using data from both tubes to evaluate renal lesions. METHOD A DE extrapolation deep-learning (DEEDL) algorithm had been trained on DECT data of 50 patients using a DSCT with DE-FoV = 33 cm (Somatom Flash). Data from 128 patients with known renal lesions falling within DE-FoV was retrospectively collected (100/140 kVp; reference dataset 1). A smaller DE-FoV = 20 cm was simulated excluding the renal lesion of interest (dataset 2) and the DEEDL was applied to this dataset. Output from the DEEDL algorithm was evaluated using ReconCT v14.1 and Syngo.via. Mean attenuation values in lesions on mixed images (HU) were compared calculating the root-mean-squared-error (RMSE) between the datasets using MATLAB R2019a. RESULTS The DEEDL algorithm performed well reproducing the image data of the kidney lesions (Bosniak 1 and 2: 125, Bosniak 2F: 6, Bosniak 3: 1 and Bosniak 4/(partially) solid: 32) with RSME values of 10.59 HU, 15.7 HU for attenuation, virtual non-contrast, respectively. The measurements performed in dataset 1 and 2 showed strong correlation with linear regression (r2: attenuation = 0.89, VNC = 0.63, iodine = 0.75), lesions were classified as enhancing with an accuracy of 0.91. CONCLUSION This DEEDL algorithm can be used to reconstruct a full dual-energy FoV from restricted data, enabling reliable HU value measurements in areas not covered by the smaller FoV and evaluation of renal lesions.
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Affiliation(s)
- Fides R Schwartz
- Duke University Health System, Department of Radiology, 2301 Erwin Road, Box 3808, Durham, NC, 27710, United States.
| | - Darin P Clark
- Quantitative Imaging and Analysis Lab, Department of Radiology, Duke University, Durham, NC, 27710, United States.
| | - Yuqin Ding
- Duke University Health System, Department of Radiology, 2301 Erwin Road, Box 3808, Durham, NC, 27710, United States; Department of Radiology, Zhongshan Hospital, Fudan University; Shanghai Institute of Medical Imaging, Shanghai, 200032, People's Republic of China.
| | - Juan Carlos Ramirez-Giraldo
- CT R&D Collaborations at Siemens Healthineers, 2424 Erwin Road - Hock Plaza, Durham, NC, 27705, United States.
| | - Cristian T Badea
- Quantitative Imaging and Analysis Lab, Department of Radiology, Duke University, Durham, NC, 27710, United States.
| | - Daniele Marin
- Duke University Health System, Department of Radiology, 2301 Erwin Road, Box 3808, Durham, NC, 27710, United States.
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Nicolau C, Antunes N, Paño B, Sebastia C. Imaging Characterization of Renal Masses. ACTA ACUST UNITED AC 2021; 57:medicina57010051. [PMID: 33435540 PMCID: PMC7827903 DOI: 10.3390/medicina57010051] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Revised: 12/28/2020] [Accepted: 01/04/2021] [Indexed: 01/10/2023]
Abstract
The detection of a renal mass is a relatively frequent occurrence in the daily practice of any Radiology Department. The diagnostic approaches depend on whether the lesion is cystic or solid. Cystic lesions can be managed using the Bosniak classification, while management of solid lesions depends on whether the lesion is well-defined or infiltrative. The approach to well-defined lesions focuses mainly on the differentiation between renal cancer and benign tumors such as angiomyolipoma (AML) and oncocytoma. Differential diagnosis of infiltrative lesions is wider, including primary and secondary malignancies and inflammatory disease, and knowledge of the patient history is essential. Radiologists may establish a possible differential diagnosis based on the imaging features of the renal masses and the clinical history. The aim of this review is to present the contribution of the different imaging techniques and image guided biopsies in the diagnostic management of cystic and solid renal lesions.
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Affiliation(s)
- Carlos Nicolau
- Radiology Department, Hospital Clinic, University of Barcelona (UB), 08036 Barcelona, Spain; (B.P.); (C.S.)
- Correspondence:
| | - Natalie Antunes
- Radiology Department, Hospital de Santa Marta, 1169-024 Lisboa, Portugal;
| | - Blanca Paño
- Radiology Department, Hospital Clinic, University of Barcelona (UB), 08036 Barcelona, Spain; (B.P.); (C.S.)
| | - Carmen Sebastia
- Radiology Department, Hospital Clinic, University of Barcelona (UB), 08036 Barcelona, Spain; (B.P.); (C.S.)
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Accuracy of Dual-Energy CT Virtual Unenhanced and Material-Specific Images: A Phantom Study. AJR Am J Roentgenol 2020; 215:1146-1154. [DOI: 10.2214/ajr.19.22372] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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Bensalah K, Bigot P, Albiges L, Bernhard J, Bodin T, Boissier R, Correas J, Gimel P, Hetet J, Long J, Nouhaud F, Ouzaïd I, Rioux-Leclercq N, Méjean A. Recommandations françaises du Comité de cancérologie de l’AFU – actualisation 2020–2022 : prise en charge du cancer du rein. Prog Urol 2020; 30:S2-S51. [DOI: 10.1016/s1166-7087(20)30749-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
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Popnoe DO, Ng CS, Zhou S, Kaur H, Kang HC, Loyer EM, Kappadath SC, Jones AK. Comparison of virtual to true unenhanced abdominal computed tomography images acquired using rapid kV-switching dual energy imaging. PLoS One 2020; 15:e0238582. [PMID: 32966278 PMCID: PMC7511018 DOI: 10.1371/journal.pone.0238582] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2020] [Accepted: 08/19/2020] [Indexed: 11/18/2022] Open
Abstract
Objective To compare “virtual” unenhanced (VUE) computed tomography (CT) images, reconstructed from rapid kVp-switching dual-energy computed tomography (DECT), to “true” unenhanced CT images (TUE), in clinical abdominal imaging. The ability to replace TUE with VUE images would have many clinical and operational advantages. Methods VUE and TUE images of 60 DECT datasets acquired for standard-of-care CT of pancreatic cancer were retrospectively reviewed and compared, both quantitatively and qualitatively. Comparisons included quantitative evaluation of CT numbers (Hounsfield Units, HU) measured in 8 different tissues, and 6 qualitative image characteristics relevant to abdominal imaging, rated by 3 experienced radiologists. The observed quantitative and qualitative VUE and TUE differences were compared against boundaries of clinically relevant equivalent thresholds to assess their equivalency, using modified paired t-tests and Bayesian hierarchical modeling. Results Quantitatively, in tissues containing high concentrations of calcium or iodine, CT numbers measured in VUE images were significantly different from those in TUE images. CT numbers in VUE images were significantly lower than TUE images when calcium was present (e.g. in the spine, 73.1 HU lower, p < 0.0001); and significantly higher when iodine was present (e.g. in renal cortex, 12.9 HU higher, p < 0.0001). Qualitatively, VUE image ratings showed significantly inferior depiction of liver parenchyma compared to TUE images, and significantly more cortico-medullary differentiation in the kidney. Conclusions Significant differences in VUE images compared to TUE images may limit their application and ability to replace TUE images in diagnostic abdominal CT imaging.
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Affiliation(s)
- D. Olivia Popnoe
- MD Anderson Cancer Center UT Health Graduate School of Biomedical Sciences, Houston, Texas, United States of America
| | - Chaan S. Ng
- Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America
- * E-mail:
| | - Shouhao Zhou
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America
| | - Harmeet Kaur
- Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America
| | - Hyunseon C. Kang
- Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America
| | - Evelyne M. Loyer
- Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America
| | - S. Cheenu Kappadath
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America
| | - A. Kyle Jones
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America
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Abstract
Most renal masses are benign cysts; a subset are malignant. Most renal masses are incidental findings. Evaluation of renal cysts has evolved with updates to the Bosniak classification system and other guidelines. The Bosniak classification provides detailed definitions and extends the system from computed tomography to MR imaging. This article provides a simple approach to the evaluation of cystic or potentially cystic renal masses. The radiologist is central to this process. Key elements include confirming that a renal lesion is cystic and not solid, determining the need for further characterization by imaging, and judicious application of the Bosniak classification system.
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Affiliation(s)
- Andrew D Smith
- Department of Radiology, University of Alabama at Birmingham, JTN 452, 619 19th Street South, Birmingham, AL 35249-6830, USA.
| | - Asser Abou Elkassem
- Department of Radiology, University of Alabama at Birmingham, JTN 452, 619 19th Street South, Birmingham, AL 35249-6830, USA
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Chu JS, Wang ZJ. Protocol Optimization for Renal Mass Detection and Characterization. Radiol Clin North Am 2020; 58:851-873. [PMID: 32792119 DOI: 10.1016/j.rcl.2020.05.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
Renal masses increasingly are found incidentally, largely due to the frequent use of medical imaging. Computed tomography (CT) and MR imaging are mainstays for renal mass characterization, presurgical planning of renal tumors, and surveillance after surgery or systemic therapy for advanced renal cell carcinomas. CT protocols should be tailored to different clinical indications, balancing diagnostic accuracy and radiation exposure. MR imaging protocols should take advantage of the improved soft tissue contrast for renal tumor diagnosis and staging. Optimized imaging protocols enable analysis of imaging features that help narrow the differential diagnoses and guide management in patients with renal masses.
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Affiliation(s)
- Jason S Chu
- Department of Radiology and Biomedical Imaging, University of California San Francisco, 505 Parnassus Avenue, Box 0628, San Francisco, CA 94143, USA
| | - Zhen J Wang
- Department of Radiology and Biomedical Imaging, University of California San Francisco, 505 Parnassus Avenue, Box 0628, San Francisco, CA 94143, USA.
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Jacobsen MC, Thrower SL. Multi-energy computed tomography and material quantification: Current barriers and opportunities for advancement. Med Phys 2020; 47:3752-3771. [PMID: 32453879 PMCID: PMC8495770 DOI: 10.1002/mp.14241] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Revised: 04/20/2020] [Accepted: 05/07/2020] [Indexed: 12/21/2022] Open
Abstract
Computed tomography (CT) technology has rapidly evolved since its introduction in the 1970s. It is a highly important diagnostic tool for clinicians as demonstrated by the significant increase in utilization over several decades. However, much of the effort to develop and advance CT applications has been focused on improving visual sensitivity and reducing radiation dose. In comparison to these areas, improvements in quantitative CT have lagged behind. While this could be a consequence of the technological limitations of conventional CT, advanced dual-energy CT (DECT) and photon-counting detector CT (PCD-CT) offer new opportunities for quantitation. Routine use of DECT is becoming more widely available and PCD-CT is rapidly developing. This review covers efforts to address an unmet need for improved quantitative imaging to better characterize disease, identify biomarkers, and evaluate therapeutic response, with an emphasis on multi-energy CT applications. The review will primarily discuss applications that have utilized quantitative metrics using both conventional and DECT, such as bone mineral density measurement, evaluation of renal lesions, and diagnosis of fatty liver disease. Other topics that will be discussed include efforts to improve quantitative CT volumetry and radiomics. Finally, we will address the use of quantitative CT to enhance image-guided techniques for surgery, radiotherapy and interventions and provide unique opportunities for development of new contrast agents.
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Affiliation(s)
- Megan C. Jacobsen
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Sara L. Thrower
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
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Krishna S, Leckie A, Kielar A, Hartman R, Khandelwal A. Imaging of Renal Cancer. Semin Ultrasound CT MR 2020; 41:152-169. [DOI: 10.1053/j.sult.2019.12.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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22
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Udare A, Walker D, Krishna S, Chatelain R, McInnes MD, Flood TA, Schieda N. Characterization of clear cell renal cell carcinoma and other renal tumors: evaluation of dual-energy CT using material-specific iodine and fat imaging. Eur Radiol 2019; 30:2091-2102. [PMID: 31858204 DOI: 10.1007/s00330-019-06590-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2019] [Revised: 11/02/2019] [Accepted: 11/12/2019] [Indexed: 12/16/2022]
Abstract
OBJECTIVE This study aimed to assess material-specific iodine and fat images for diagnosis of clear cell renal cell carcinoma (cc-RCC) compared to papillary RCC (p-RCC) and other renal masses. MATERIALS AND METHODS With IRB approval, we identified histologically confirmed solid renal masses that underwent rapid-kVp-switch DECT between 2016 and 2018: 25 cc-RCC (7 low grade versus 18 high grade), 11 p-RCC, and 6 other tumors (2 clear cell papillary RCC, 2 chromophobe RCC, 1 oncocytoma, 1 renal angiomyomatous tumor). A blinded radiologist measured iodine and fat concentration on material-specific iodine-water and fat-water basis pair images. Comparisons were performed between groups using univariate analysis and diagnostic accuracy calculated by ROC. RESULTS Iodine concentration was higher in cc-RCC (6.14 ± 1.79 mg/mL) compared to p-RCC (1.40 ± 0.54 mg/mL, p < 0.001), but not compared to other tumors (5.0 ± 2.2 mg/mL, p = 0.370). Intratumoral fat was seen in 36.0% (9/25) cc-RCC (309.6 ± 234.3 mg/mL [71.1-762.3 ng/mL]), 9.1% (1/11) papillary RCC (97.11 mg/mL), and no other tumors (p = 0.036). Iodine concentration ≥ 3.99 mg/mL achieved AUC and sensitivity/specificity of 0.88 (CI 0.76-1.00) and 92.31%/82.40% to diagnose cc-RCC. To diagnose p-RCC, iodine concentration ≤ 2.5 mg/mL achieved AUC and sensitivity/specificity of 0.99 (0.98-1.00) and 100%/100%. The presence of intratumoral fat had AUC 0.64 (CI 0.53-0.75) and sensitivity/specificity of 34.6%/93.8% to diagnose cc-RCC. A logistic regression model combining iodine concentration and presence of fat increased AUC to 0.91 (CI 0.81-1.0) with sensitivity/specificity of 80.8%/93.8% to diagnose cc-RCC. CONCLUSION Iodine concentration values are highly accurate to differentiate clear cell RCC from papillary RCC; however, they overlap with other tumors. Fat-specific images may improve differentiation of clear cell RCC from other avidly enhancing tumors. KEY POINTS • Clear cell renal cell carcinoma (RCC) has significantly higher iodine concentration than papillary RCC, but there is an overlap in values comparing clear cell RCC to other renal tumors. • Iodine concentration ≤ 2.5 mg/mL is highly accurate to differentiate papillary RCC from clear cell RCC and other renal tumors. • The presence of microscopic fat on material-specific fat images was specific for clear cell RCC, helping to differentiate clear cell RCC from other avidly enhancing renal tumors.
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Affiliation(s)
- Amar Udare
- Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 1053 Carling Avenue, Ottawa, ON, K1Y 4E9, Canada
| | - Daniel Walker
- Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 1053 Carling Avenue, Ottawa, ON, K1Y 4E9, Canada
| | - Satheesh Krishna
- Joint Department of Medical Imaging, Toronto General Hospital, The University of Toronto, Toronto, Canada
| | - Robert Chatelain
- Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 1053 Carling Avenue, Ottawa, ON, K1Y 4E9, Canada
| | - Matthew Df McInnes
- Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 1053 Carling Avenue, Ottawa, ON, K1Y 4E9, Canada
| | - Trevor A Flood
- Department of Anatomical Pathology, The Ottawa Hospital, University of Ottawa, Ottawa, ON, Canada
| | - Nicola Schieda
- Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 1053 Carling Avenue, Ottawa, ON, K1Y 4E9, Canada.
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An overview of non-invasive imaging modalities for diagnosis of solid and cystic renal lesions. Med Biol Eng Comput 2019; 58:1-24. [DOI: 10.1007/s11517-019-02049-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2018] [Accepted: 09/17/2019] [Indexed: 12/22/2022]
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24
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Silverman SG, Pedrosa I, Ellis JH, Hindman NM, Schieda N, Smith AD, Remer EM, Shinagare AB, Curci NE, Raman SS, Wells SA, Kaffenberger SD, Wang ZJ, Chandarana H, Davenport MS. Bosniak Classification of Cystic Renal Masses, Version 2019: An Update Proposal and Needs Assessment. Radiology 2019; 292:475-488. [PMID: 31210616 DOI: 10.1148/radiol.2019182646] [Citation(s) in RCA: 249] [Impact Index Per Article: 49.8] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Cystic renal cell carcinoma (RCC) is almost certainly overdiagnosed and overtreated. Efforts to diagnose and treat RCC at a curable stage result in many benign neoplasms and indolent cancers being resected without clear benefit. This is especially true for cystic masses, which compared with solid masses are more likely to be benign and, when malignant, less aggressive. For more than 30 years, the Bosniak classification has been used to stratify the risk of malignancy in cystic renal masses. Although it is widely used and still effective, the classification does not formally incorporate masses identified at MRI or US or masses that are incompletely characterized but are highly likely to be benign, and it is affected by interreader variability and variable reported malignancy rates. The Bosniak classification system cannot fully differentiate aggressive from indolent cancers and results in many benign masses being resected. This proposed update to the Bosniak classification addresses some of these shortcomings. The primary modifications incorporate MRI, establish definitions for previously vague imaging terms, and enable a greater proportion of masses to enter lower-risk classes. Although the update will require validation, it aims to expand the number of cystic masses to which the Bosniak classification can be applied while improving its precision and accuracy for the likelihood of cancer in each class.
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Affiliation(s)
- Stuart G Silverman
- From the Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S., A.B.S.); Disease-Focused Panel on Renal Cell Carcinoma, Society of Abdominal Radiology, Houston, Tex (S.G.S., I.P., N.M.H., N.S., A.D.S., E.M.R., A.B.S., N.E.C., S.S.R., S.A.W., S.D.K., Z.J.W., H.C., M.S.D.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Departments of Radiology and Urology, Michigan Medicine, University of Michigan, 1500 E Medical Center Dr, B2-A209A, Ann Arbor, MI 48109 (J.H.E., N.E.C., S.D.K., M.S.D.); Department of Radiology, New York University Langone Medical Center, New York, NY (N.M.H., H.C.); Department of Radiology, University of Ottawa, Ottawa, Canada (N.S.); Department of Radiology, University of Alabama School of Medicine, Birmingham, Ala (A.D.S.); Imaging Institute and Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio (E.M.R.); Department of Radiology, David Geffen School of Medicine, UCLA Center for the Health Sciences, Los Angeles, Calif (S.S.R.); Department of Radiology, University of Wisconsin Hospital and Clinics, Madison, Wis (S.A.W.); and Department of Radiology, UCSF Medical Center, San Francisco, Calif (Z.J.W.)
| | - Ivan Pedrosa
- From the Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S., A.B.S.); Disease-Focused Panel on Renal Cell Carcinoma, Society of Abdominal Radiology, Houston, Tex (S.G.S., I.P., N.M.H., N.S., A.D.S., E.M.R., A.B.S., N.E.C., S.S.R., S.A.W., S.D.K., Z.J.W., H.C., M.S.D.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Departments of Radiology and Urology, Michigan Medicine, University of Michigan, 1500 E Medical Center Dr, B2-A209A, Ann Arbor, MI 48109 (J.H.E., N.E.C., S.D.K., M.S.D.); Department of Radiology, New York University Langone Medical Center, New York, NY (N.M.H., H.C.); Department of Radiology, University of Ottawa, Ottawa, Canada (N.S.); Department of Radiology, University of Alabama School of Medicine, Birmingham, Ala (A.D.S.); Imaging Institute and Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio (E.M.R.); Department of Radiology, David Geffen School of Medicine, UCLA Center for the Health Sciences, Los Angeles, Calif (S.S.R.); Department of Radiology, University of Wisconsin Hospital and Clinics, Madison, Wis (S.A.W.); and Department of Radiology, UCSF Medical Center, San Francisco, Calif (Z.J.W.)
| | - James H Ellis
- From the Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S., A.B.S.); Disease-Focused Panel on Renal Cell Carcinoma, Society of Abdominal Radiology, Houston, Tex (S.G.S., I.P., N.M.H., N.S., A.D.S., E.M.R., A.B.S., N.E.C., S.S.R., S.A.W., S.D.K., Z.J.W., H.C., M.S.D.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Departments of Radiology and Urology, Michigan Medicine, University of Michigan, 1500 E Medical Center Dr, B2-A209A, Ann Arbor, MI 48109 (J.H.E., N.E.C., S.D.K., M.S.D.); Department of Radiology, New York University Langone Medical Center, New York, NY (N.M.H., H.C.); Department of Radiology, University of Ottawa, Ottawa, Canada (N.S.); Department of Radiology, University of Alabama School of Medicine, Birmingham, Ala (A.D.S.); Imaging Institute and Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio (E.M.R.); Department of Radiology, David Geffen School of Medicine, UCLA Center for the Health Sciences, Los Angeles, Calif (S.S.R.); Department of Radiology, University of Wisconsin Hospital and Clinics, Madison, Wis (S.A.W.); and Department of Radiology, UCSF Medical Center, San Francisco, Calif (Z.J.W.)
| | - Nicole M Hindman
- From the Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S., A.B.S.); Disease-Focused Panel on Renal Cell Carcinoma, Society of Abdominal Radiology, Houston, Tex (S.G.S., I.P., N.M.H., N.S., A.D.S., E.M.R., A.B.S., N.E.C., S.S.R., S.A.W., S.D.K., Z.J.W., H.C., M.S.D.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Departments of Radiology and Urology, Michigan Medicine, University of Michigan, 1500 E Medical Center Dr, B2-A209A, Ann Arbor, MI 48109 (J.H.E., N.E.C., S.D.K., M.S.D.); Department of Radiology, New York University Langone Medical Center, New York, NY (N.M.H., H.C.); Department of Radiology, University of Ottawa, Ottawa, Canada (N.S.); Department of Radiology, University of Alabama School of Medicine, Birmingham, Ala (A.D.S.); Imaging Institute and Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio (E.M.R.); Department of Radiology, David Geffen School of Medicine, UCLA Center for the Health Sciences, Los Angeles, Calif (S.S.R.); Department of Radiology, University of Wisconsin Hospital and Clinics, Madison, Wis (S.A.W.); and Department of Radiology, UCSF Medical Center, San Francisco, Calif (Z.J.W.)
| | - Nicola Schieda
- From the Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S., A.B.S.); Disease-Focused Panel on Renal Cell Carcinoma, Society of Abdominal Radiology, Houston, Tex (S.G.S., I.P., N.M.H., N.S., A.D.S., E.M.R., A.B.S., N.E.C., S.S.R., S.A.W., S.D.K., Z.J.W., H.C., M.S.D.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Departments of Radiology and Urology, Michigan Medicine, University of Michigan, 1500 E Medical Center Dr, B2-A209A, Ann Arbor, MI 48109 (J.H.E., N.E.C., S.D.K., M.S.D.); Department of Radiology, New York University Langone Medical Center, New York, NY (N.M.H., H.C.); Department of Radiology, University of Ottawa, Ottawa, Canada (N.S.); Department of Radiology, University of Alabama School of Medicine, Birmingham, Ala (A.D.S.); Imaging Institute and Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio (E.M.R.); Department of Radiology, David Geffen School of Medicine, UCLA Center for the Health Sciences, Los Angeles, Calif (S.S.R.); Department of Radiology, University of Wisconsin Hospital and Clinics, Madison, Wis (S.A.W.); and Department of Radiology, UCSF Medical Center, San Francisco, Calif (Z.J.W.)
| | - Andrew D Smith
- From the Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S., A.B.S.); Disease-Focused Panel on Renal Cell Carcinoma, Society of Abdominal Radiology, Houston, Tex (S.G.S., I.P., N.M.H., N.S., A.D.S., E.M.R., A.B.S., N.E.C., S.S.R., S.A.W., S.D.K., Z.J.W., H.C., M.S.D.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Departments of Radiology and Urology, Michigan Medicine, University of Michigan, 1500 E Medical Center Dr, B2-A209A, Ann Arbor, MI 48109 (J.H.E., N.E.C., S.D.K., M.S.D.); Department of Radiology, New York University Langone Medical Center, New York, NY (N.M.H., H.C.); Department of Radiology, University of Ottawa, Ottawa, Canada (N.S.); Department of Radiology, University of Alabama School of Medicine, Birmingham, Ala (A.D.S.); Imaging Institute and Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio (E.M.R.); Department of Radiology, David Geffen School of Medicine, UCLA Center for the Health Sciences, Los Angeles, Calif (S.S.R.); Department of Radiology, University of Wisconsin Hospital and Clinics, Madison, Wis (S.A.W.); and Department of Radiology, UCSF Medical Center, San Francisco, Calif (Z.J.W.)
| | - Erick M Remer
- From the Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S., A.B.S.); Disease-Focused Panel on Renal Cell Carcinoma, Society of Abdominal Radiology, Houston, Tex (S.G.S., I.P., N.M.H., N.S., A.D.S., E.M.R., A.B.S., N.E.C., S.S.R., S.A.W., S.D.K., Z.J.W., H.C., M.S.D.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Departments of Radiology and Urology, Michigan Medicine, University of Michigan, 1500 E Medical Center Dr, B2-A209A, Ann Arbor, MI 48109 (J.H.E., N.E.C., S.D.K., M.S.D.); Department of Radiology, New York University Langone Medical Center, New York, NY (N.M.H., H.C.); Department of Radiology, University of Ottawa, Ottawa, Canada (N.S.); Department of Radiology, University of Alabama School of Medicine, Birmingham, Ala (A.D.S.); Imaging Institute and Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio (E.M.R.); Department of Radiology, David Geffen School of Medicine, UCLA Center for the Health Sciences, Los Angeles, Calif (S.S.R.); Department of Radiology, University of Wisconsin Hospital and Clinics, Madison, Wis (S.A.W.); and Department of Radiology, UCSF Medical Center, San Francisco, Calif (Z.J.W.)
| | - Atul B Shinagare
- From the Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S., A.B.S.); Disease-Focused Panel on Renal Cell Carcinoma, Society of Abdominal Radiology, Houston, Tex (S.G.S., I.P., N.M.H., N.S., A.D.S., E.M.R., A.B.S., N.E.C., S.S.R., S.A.W., S.D.K., Z.J.W., H.C., M.S.D.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Departments of Radiology and Urology, Michigan Medicine, University of Michigan, 1500 E Medical Center Dr, B2-A209A, Ann Arbor, MI 48109 (J.H.E., N.E.C., S.D.K., M.S.D.); Department of Radiology, New York University Langone Medical Center, New York, NY (N.M.H., H.C.); Department of Radiology, University of Ottawa, Ottawa, Canada (N.S.); Department of Radiology, University of Alabama School of Medicine, Birmingham, Ala (A.D.S.); Imaging Institute and Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio (E.M.R.); Department of Radiology, David Geffen School of Medicine, UCLA Center for the Health Sciences, Los Angeles, Calif (S.S.R.); Department of Radiology, University of Wisconsin Hospital and Clinics, Madison, Wis (S.A.W.); and Department of Radiology, UCSF Medical Center, San Francisco, Calif (Z.J.W.)
| | - Nicole E Curci
- From the Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S., A.B.S.); Disease-Focused Panel on Renal Cell Carcinoma, Society of Abdominal Radiology, Houston, Tex (S.G.S., I.P., N.M.H., N.S., A.D.S., E.M.R., A.B.S., N.E.C., S.S.R., S.A.W., S.D.K., Z.J.W., H.C., M.S.D.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Departments of Radiology and Urology, Michigan Medicine, University of Michigan, 1500 E Medical Center Dr, B2-A209A, Ann Arbor, MI 48109 (J.H.E., N.E.C., S.D.K., M.S.D.); Department of Radiology, New York University Langone Medical Center, New York, NY (N.M.H., H.C.); Department of Radiology, University of Ottawa, Ottawa, Canada (N.S.); Department of Radiology, University of Alabama School of Medicine, Birmingham, Ala (A.D.S.); Imaging Institute and Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio (E.M.R.); Department of Radiology, David Geffen School of Medicine, UCLA Center for the Health Sciences, Los Angeles, Calif (S.S.R.); Department of Radiology, University of Wisconsin Hospital and Clinics, Madison, Wis (S.A.W.); and Department of Radiology, UCSF Medical Center, San Francisco, Calif (Z.J.W.)
| | - Steven S Raman
- From the Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S., A.B.S.); Disease-Focused Panel on Renal Cell Carcinoma, Society of Abdominal Radiology, Houston, Tex (S.G.S., I.P., N.M.H., N.S., A.D.S., E.M.R., A.B.S., N.E.C., S.S.R., S.A.W., S.D.K., Z.J.W., H.C., M.S.D.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Departments of Radiology and Urology, Michigan Medicine, University of Michigan, 1500 E Medical Center Dr, B2-A209A, Ann Arbor, MI 48109 (J.H.E., N.E.C., S.D.K., M.S.D.); Department of Radiology, New York University Langone Medical Center, New York, NY (N.M.H., H.C.); Department of Radiology, University of Ottawa, Ottawa, Canada (N.S.); Department of Radiology, University of Alabama School of Medicine, Birmingham, Ala (A.D.S.); Imaging Institute and Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio (E.M.R.); Department of Radiology, David Geffen School of Medicine, UCLA Center for the Health Sciences, Los Angeles, Calif (S.S.R.); Department of Radiology, University of Wisconsin Hospital and Clinics, Madison, Wis (S.A.W.); and Department of Radiology, UCSF Medical Center, San Francisco, Calif (Z.J.W.)
| | - Shane A Wells
- From the Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S., A.B.S.); Disease-Focused Panel on Renal Cell Carcinoma, Society of Abdominal Radiology, Houston, Tex (S.G.S., I.P., N.M.H., N.S., A.D.S., E.M.R., A.B.S., N.E.C., S.S.R., S.A.W., S.D.K., Z.J.W., H.C., M.S.D.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Departments of Radiology and Urology, Michigan Medicine, University of Michigan, 1500 E Medical Center Dr, B2-A209A, Ann Arbor, MI 48109 (J.H.E., N.E.C., S.D.K., M.S.D.); Department of Radiology, New York University Langone Medical Center, New York, NY (N.M.H., H.C.); Department of Radiology, University of Ottawa, Ottawa, Canada (N.S.); Department of Radiology, University of Alabama School of Medicine, Birmingham, Ala (A.D.S.); Imaging Institute and Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio (E.M.R.); Department of Radiology, David Geffen School of Medicine, UCLA Center for the Health Sciences, Los Angeles, Calif (S.S.R.); Department of Radiology, University of Wisconsin Hospital and Clinics, Madison, Wis (S.A.W.); and Department of Radiology, UCSF Medical Center, San Francisco, Calif (Z.J.W.)
| | - Samuel D Kaffenberger
- From the Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S., A.B.S.); Disease-Focused Panel on Renal Cell Carcinoma, Society of Abdominal Radiology, Houston, Tex (S.G.S., I.P., N.M.H., N.S., A.D.S., E.M.R., A.B.S., N.E.C., S.S.R., S.A.W., S.D.K., Z.J.W., H.C., M.S.D.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Departments of Radiology and Urology, Michigan Medicine, University of Michigan, 1500 E Medical Center Dr, B2-A209A, Ann Arbor, MI 48109 (J.H.E., N.E.C., S.D.K., M.S.D.); Department of Radiology, New York University Langone Medical Center, New York, NY (N.M.H., H.C.); Department of Radiology, University of Ottawa, Ottawa, Canada (N.S.); Department of Radiology, University of Alabama School of Medicine, Birmingham, Ala (A.D.S.); Imaging Institute and Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio (E.M.R.); Department of Radiology, David Geffen School of Medicine, UCLA Center for the Health Sciences, Los Angeles, Calif (S.S.R.); Department of Radiology, University of Wisconsin Hospital and Clinics, Madison, Wis (S.A.W.); and Department of Radiology, UCSF Medical Center, San Francisco, Calif (Z.J.W.)
| | - Zhen J Wang
- From the Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S., A.B.S.); Disease-Focused Panel on Renal Cell Carcinoma, Society of Abdominal Radiology, Houston, Tex (S.G.S., I.P., N.M.H., N.S., A.D.S., E.M.R., A.B.S., N.E.C., S.S.R., S.A.W., S.D.K., Z.J.W., H.C., M.S.D.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Departments of Radiology and Urology, Michigan Medicine, University of Michigan, 1500 E Medical Center Dr, B2-A209A, Ann Arbor, MI 48109 (J.H.E., N.E.C., S.D.K., M.S.D.); Department of Radiology, New York University Langone Medical Center, New York, NY (N.M.H., H.C.); Department of Radiology, University of Ottawa, Ottawa, Canada (N.S.); Department of Radiology, University of Alabama School of Medicine, Birmingham, Ala (A.D.S.); Imaging Institute and Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio (E.M.R.); Department of Radiology, David Geffen School of Medicine, UCLA Center for the Health Sciences, Los Angeles, Calif (S.S.R.); Department of Radiology, University of Wisconsin Hospital and Clinics, Madison, Wis (S.A.W.); and Department of Radiology, UCSF Medical Center, San Francisco, Calif (Z.J.W.)
| | - Hersh Chandarana
- From the Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S., A.B.S.); Disease-Focused Panel on Renal Cell Carcinoma, Society of Abdominal Radiology, Houston, Tex (S.G.S., I.P., N.M.H., N.S., A.D.S., E.M.R., A.B.S., N.E.C., S.S.R., S.A.W., S.D.K., Z.J.W., H.C., M.S.D.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Departments of Radiology and Urology, Michigan Medicine, University of Michigan, 1500 E Medical Center Dr, B2-A209A, Ann Arbor, MI 48109 (J.H.E., N.E.C., S.D.K., M.S.D.); Department of Radiology, New York University Langone Medical Center, New York, NY (N.M.H., H.C.); Department of Radiology, University of Ottawa, Ottawa, Canada (N.S.); Department of Radiology, University of Alabama School of Medicine, Birmingham, Ala (A.D.S.); Imaging Institute and Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio (E.M.R.); Department of Radiology, David Geffen School of Medicine, UCLA Center for the Health Sciences, Los Angeles, Calif (S.S.R.); Department of Radiology, University of Wisconsin Hospital and Clinics, Madison, Wis (S.A.W.); and Department of Radiology, UCSF Medical Center, San Francisco, Calif (Z.J.W.)
| | - Matthew S Davenport
- From the Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S., A.B.S.); Disease-Focused Panel on Renal Cell Carcinoma, Society of Abdominal Radiology, Houston, Tex (S.G.S., I.P., N.M.H., N.S., A.D.S., E.M.R., A.B.S., N.E.C., S.S.R., S.A.W., S.D.K., Z.J.W., H.C., M.S.D.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Departments of Radiology and Urology, Michigan Medicine, University of Michigan, 1500 E Medical Center Dr, B2-A209A, Ann Arbor, MI 48109 (J.H.E., N.E.C., S.D.K., M.S.D.); Department of Radiology, New York University Langone Medical Center, New York, NY (N.M.H., H.C.); Department of Radiology, University of Ottawa, Ottawa, Canada (N.S.); Department of Radiology, University of Alabama School of Medicine, Birmingham, Ala (A.D.S.); Imaging Institute and Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio (E.M.R.); Department of Radiology, David Geffen School of Medicine, UCLA Center for the Health Sciences, Los Angeles, Calif (S.S.R.); Department of Radiology, University of Wisconsin Hospital and Clinics, Madison, Wis (S.A.W.); and Department of Radiology, UCSF Medical Center, San Francisco, Calif (Z.J.W.)
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Kessner R, Große Hokamp N, Ciancibello L, Ramaiya N, Herrmann KA. Renal cystic lesions characterization using spectral detector CT (SDCT): Added value of spectral results. Br J Radiol 2019; 92:20180915. [PMID: 31124701 DOI: 10.1259/bjr.20180915] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
OBJECTIVES To evaluate the added value of spectral results derived from Spectral Detector CT (SDCT) to the characterization of renal cystic lesions (RCL). METHODS This retrospective study was approved by the local Institutional review board. 70 consecutive patients who underwent abdominopelvic SDCT and had at least one RCL were included. 84 RCL were categorized as simple, complex or neoplastic based on attenuation values on single-phase post-contrast images. Attenuation values were measured in each lesion on standard conventional CT images (stCI) and virtual monoenergetic images of 40keV and 100keV. A spectral curve slope was calculated and intra lesional iodine concentration (IC) was measured using iodine-density maps. Reference standard was established using histopathologic correlation, prior and follow-up imaging. Analysis of variance (ANOVA) was used to compare between the groups. RESULTS Mean attenuation values for benign simple and complex RCL differed significantly (42 ± 16 vs 8 ± 3 HU; p < 0.001). IC was almost identical in benign simple and complex RCL (0.23 ± 0.04 mg ml-1 vs 0.24 ± 0.04 mg ml-1), while IC in neoplastic RCL was significantly higher (2.10 ± 0.08 mg ml-1 ; p < 0.001). The mean spectral curve slope did not differ significantly between simple and complex RCL (0.30 ± 0.03 vs 0.33 ± 0.05) but was significantly higher in neoplastic RCL (2.60 ± 0.10; p < 0.001). CONCLUSIONS Spectral results of SDCT are highly promising in distinguishing benign complex RCL from enhancing neoplastic RCL based on single-phase post-contrast imaging only. ADVANCES IN KNOWLEDGE SDCT can assist in differentiating between benign complex and neoplastic renal cystic lesions.
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Affiliation(s)
- Rivka Kessner
- 1 Department of Radiology, University Hospitals Cleveland Medical Center and Case Western Reserve University, Cleveland, Ohio, USA.,2 Department of Diagnostic Imaging, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Nils Große Hokamp
- 1 Department of Radiology, University Hospitals Cleveland Medical Center and Case Western Reserve University, Cleveland, Ohio, USA.,3 University Hospital Cologne, Institute for Diagnostic and Interventional Radiology, Cologne, Germany
| | - Les Ciancibello
- 1 Department of Radiology, University Hospitals Cleveland Medical Center and Case Western Reserve University, Cleveland, Ohio, USA
| | - Nikhil Ramaiya
- 1 Department of Radiology, University Hospitals Cleveland Medical Center and Case Western Reserve University, Cleveland, Ohio, USA
| | - Karin A Herrmann
- 1 Department of Radiology, University Hospitals Cleveland Medical Center and Case Western Reserve University, Cleveland, Ohio, USA
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Diagnostic Accuracy of Dual-Energy CT for Evaluation of Renal Masses: Systematic Review and Meta-Analysis. AJR Am J Roentgenol 2019; 212:W100-W105. [DOI: 10.2214/ajr.18.20527] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
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Comparison of Iodine Quantification and Conventional Attenuation Measurements for Differentiating Small, Truly Enhancing Renal Masses From High-Attenuation Nonenhancing Renal Lesions With Dual-Energy CT. AJR Am J Roentgenol 2019; 213:W26-W37. [PMID: 30917024 DOI: 10.2214/ajr.18.20547] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
OBJECTIVE. The purpose of this study is to determine whether iodine quantification techniques from contrast-enhanced dual-energy CT (DECT) data allow equal differentiation of small enhancing renal masses from high-attenuation (> 20 HU of unenhanced attenuation) nonenhancing lesions, compared with conventional attenuation measurements. MATERIALS AND METHODS. A total of 220 nonconsecutive patients (mean [± SD] age, 66 ± 13 years; 130 men and 90 women) with 265 high-attenuation renal lesions (mean attenuation, 54 ± 33 HU; 91 enhancing lesions) were included. Each patient underwent single-energy unenhanced CT followed by DECT during the nephrographic phase using one of four different high-end DECT platforms (first- and second-generation rapid-kilovoltage-switching DECT platforms and second- and third-generation dual-source DECT platforms). Iodine quantification measurements and conventional attenuation change measurements were calculated for each lesion. Diagnostic accuracy was determined by pathologic analysis, confirmation with another imaging modality, or greater than 24 months of imaging follow-up as the reference standard. RESULTS. The diagnostic accuracy for differentiating enhancing from nonenhancing renal lesions was significantly higher for conventional attenuation change measurements, compared with iodine quantification measurements (AUC values, 0.973 vs 0.875; p < 0.0001). The diagnostic performance of iodine quantification measurements improved only marginally with the utilization of DECT platform-specific optimized iodine quantification thresholds, yielding AUC values of 0.907 and 0.893 for the rapid-kilovoltage-switching DECT and dual-source DECT platforms, respectively. Unenhanced lesion attenuation (p = 0.0010) and intraparenchymal location (p = 0.0249) significantly influenced the diagnostic accuracy of the iodine quantification techniques. CONCLUSION. Iodine quantification from DECT data yields inferior diagnostic accuracy when compared with conventional attenuation change measurements for differentiating small, truly enhancing renal masses and high-attenuation renal lesions.
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Narayanasamy S, Krishna S, Prasad Shanbhogue AK, Flood TA, Sadoughi N, Sathiadoss P, Schieda N. Contemporary update on imaging of cystic renal masses with histopathological correlation and emphasis on patient management. Clin Radiol 2018; 74:83-94. [PMID: 30314810 DOI: 10.1016/j.crad.2018.09.003] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2018] [Accepted: 09/06/2018] [Indexed: 01/21/2023]
Abstract
This article presents an updated review of cystic renal mass imaging. Most cystic renal masses encountered incidentally are benign and can be diagnosed confidently on imaging and require no follow-up. Hyperattenuating masses discovered at unenhanced or single-phase enhanced computed tomography (CT) measuring between 20-70 HU are indeterminate and can be further investigated first by using ultrasound and, then with multi-phase CT or magnetic resonance imaging (MRI); as the majority represent haemorrhagic/proteinaceous cysts (HPCs). Dual-energy CT may improve differentiation between HPCs and masses by suppressing unwanted pseudo-enhancement observed with conventional CT. HPCs can be diagnosed confidently when measuring >70 HU at unenhanced CT or showing markedly increased signal on T1-weighted imaging. Although the Bosniak criteria remains the reference standard for diagnosis and classification of cystic renal masses, histopathological classification and current management has evolved: multilocular cystic renal cell carcinoma (RCC) has been reclassified as a cystic renal neoplasm of low malignant potential, few Bosniak 2F cystic masses progress radiologically during follow-up; RCC with predominantly cystic components are less aggressive than solid RCC; and Bosniak III cystic masses behave non-aggressively. These advances have led to an increase in non-radical management or surveillance of cystic renal masses including Bosniak 3 lesions. Tubulocystic RCC is a newly described entity with distinct imaging characteristics, resembling a pancreatic serous microcystadenoma. Other benign cystic masses including: mixed epithelial stromal tumours (MEST) are now considered in the spectrum of cystic nephroma and angiomyolipoma (AML) with epithelial cysts (AMLEC) resemble a fat-poor AML with cystic components.
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Affiliation(s)
- S Narayanasamy
- Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 501 Smyth Road, Ottawa, ON K1H 8L6, Canada
| | - S Krishna
- Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 501 Smyth Road, Ottawa, ON K1H 8L6, Canada
| | - A K Prasad Shanbhogue
- Department of Radiology, New York University School of Medicine, 660 First Avenue, New York, NY 10016, USA
| | - T A Flood
- Department of Anatomic Pathology, The Ottawa Hospital, University of Ottawa, 501 Smyth Road, Ottawa, ON K1H 8L6, Canada
| | - N Sadoughi
- Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 501 Smyth Road, Ottawa, ON K1H 8L6, Canada
| | - P Sathiadoss
- Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 501 Smyth Road, Ottawa, ON K1H 8L6, Canada
| | - N Schieda
- Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 501 Smyth Road, Ottawa, ON K1H 8L6, Canada.
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Attenuation and Degree of Enhancement With Conventional 120-kVp Polychromatic CT and 70-keV Monochromatic Rapid Kilovoltage-Switching Dual-Energy CT in Cystic and Solid Renal Masses. AJR Am J Roentgenol 2018; 211:789-796. [DOI: 10.2214/ajr.17.19226] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
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Dual-Energy CT Iodine Mapping and 40-keV Monoenergetic Applications in the Diagnosis of Acute Bowel Ischemia. AJR Am J Roentgenol 2018; 211:564-570. [DOI: 10.2214/ajr.18.19554] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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Manoharan D, Sharma S, Das CJ, Kumar R, Singh G, Kumar P. Single-Acquisition Triple-Bolus Dual-Energy CT Protocol for Comprehensive Evaluation of Renal Masses: A Single-Center Randomized Noninferiority Trial. AJR Am J Roentgenol 2018; 211:W22-W32. [DOI: 10.2214/ajr.17.18786] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/30/2023]
Affiliation(s)
- Dinesh Manoharan
- Department of Radiology, All India Institute of Medical Science, New Delhi 110029, India
| | - Sanjay Sharma
- Department of Radiology, All India Institute of Medical Science, New Delhi 110029, India
| | - Chandan J. Das
- Department of Radiology, All India Institute of Medical Science, New Delhi 110029, India
| | - Rajeev Kumar
- Department of Urology, All India Institute of Medical Science, New Delhi, India
| | - Geetika Singh
- Department of Pathology, All India Institute of Medical Science, New Delhi, India
| | - Pratik Kumar
- Department of Medical Physics, All India Institute of Medical Science, New Delhi, India
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Vernuccio F, Meyer M, Mileto A, Marin D. Use of Dual-Energy Computed Tomography for Evaluation of Genitourinary Diseases. Urol Clin North Am 2018; 45:297-310. [PMID: 30031456 DOI: 10.1016/j.ucl.2018.03.012] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Since its clinical inception a decade ago, dual-energy computed tomography has expanded the array of computed tomography imaging tools available to the practicing abdominal radiologist. Of note, diagnostic solutions for imaging-based evaluation of genitourinary diseases, foremost kidney calculi and renal tumors characterization, represent the apogee applications of dual-energy computed tomography in abdominal imaging. This article reviews clinical applications of dual-energy computed tomography for the assessment of genitourinary diseases.
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Affiliation(s)
- Federica Vernuccio
- Department of Radiology, Duke University Medical Center, Box 3808 Erwin Road, Durham, NC 27710, USA; Section of Radiology -Di.Bi.Med., University Hospital "Paolo Giaccone", University of Palermo, Via del Vespro 129, 90127, Palermo, Italy
| | - Mathias Meyer
- Department of Radiology, Duke University Medical Center, Box 3808 Erwin Road, Durham, NC 27710, USA
| | - Achille Mileto
- Department of Radiology, University of Washington School of Medicine, Box 357115, 1959 Northeast Pacific Street, Seattle, WA 98195, USA
| | - Daniele Marin
- Department of Radiology, Duke University Medical Center, Box 3808 Erwin Road, Durham, NC 27710, USA.
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Abstract
The increase in serendipitous detection of solid renal masses on imaging has not resulted in a reduction in mortality from renal cell carcinoma. Consequently, efforts for improved lesion characterization have been pursued and incorporated into management algorithms for distinguishing clinically significant tumors from those with favorable histology or benign conditions. Although diagnostic imaging strategies have evolved for optimized lesion detection, distinction between benign tumors and both indolent and aggressive malignant neoplasms remain an important diagnostic challenge. Recent advances in cross-sectional imaging have expanded the role of these tests in the noninvasive characterization of solid renal tumors.
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Affiliation(s)
- Fernando U Kay
- Department of Radiology; UT Southwestern Medical Center, 2201 Inwood Road, Suite 210, Dallas, TX 75390, USA
| | - Ivan Pedrosa
- Department of Radiology; UT Southwestern Medical Center, 2201 Inwood Road, Suite 210, Dallas, TX 75390, USA.
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Schabel C, Patel B, Harring S, Duvnjak P, Ramírez-Giraldo JC, Nikolaou K, Nelson RC, Farjat AE, Marin D. Renal Lesion Characterization with Spectral CT: Determining the Optimal Energy for Virtual Monoenergetic Reconstruction. Radiology 2018; 287:874-883. [DOI: 10.1148/radiol.2018171657] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Christoph Schabel
- From the Departments of Radiology (C.S., B.P., S.H., P.D., R.C.N., D.M.) and Biostatistics and Bioinformatics (A.E.F.), Duke University Medical Center, Box 3808 Erwin Rd, Durham, NC 27710; Department of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Tuebingen, Germany (C.S., K.N.); and Department of Computed Tomography, Siemens Medical Solutions USA, Malvern, Pa (J.C.R.)
| | - Bhavik Patel
- From the Departments of Radiology (C.S., B.P., S.H., P.D., R.C.N., D.M.) and Biostatistics and Bioinformatics (A.E.F.), Duke University Medical Center, Box 3808 Erwin Rd, Durham, NC 27710; Department of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Tuebingen, Germany (C.S., K.N.); and Department of Computed Tomography, Siemens Medical Solutions USA, Malvern, Pa (J.C.R.)
| | - Scott Harring
- From the Departments of Radiology (C.S., B.P., S.H., P.D., R.C.N., D.M.) and Biostatistics and Bioinformatics (A.E.F.), Duke University Medical Center, Box 3808 Erwin Rd, Durham, NC 27710; Department of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Tuebingen, Germany (C.S., K.N.); and Department of Computed Tomography, Siemens Medical Solutions USA, Malvern, Pa (J.C.R.)
| | - Petar Duvnjak
- From the Departments of Radiology (C.S., B.P., S.H., P.D., R.C.N., D.M.) and Biostatistics and Bioinformatics (A.E.F.), Duke University Medical Center, Box 3808 Erwin Rd, Durham, NC 27710; Department of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Tuebingen, Germany (C.S., K.N.); and Department of Computed Tomography, Siemens Medical Solutions USA, Malvern, Pa (J.C.R.)
| | - Juan Carlos Ramírez-Giraldo
- From the Departments of Radiology (C.S., B.P., S.H., P.D., R.C.N., D.M.) and Biostatistics and Bioinformatics (A.E.F.), Duke University Medical Center, Box 3808 Erwin Rd, Durham, NC 27710; Department of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Tuebingen, Germany (C.S., K.N.); and Department of Computed Tomography, Siemens Medical Solutions USA, Malvern, Pa (J.C.R.)
| | - Konstantin Nikolaou
- From the Departments of Radiology (C.S., B.P., S.H., P.D., R.C.N., D.M.) and Biostatistics and Bioinformatics (A.E.F.), Duke University Medical Center, Box 3808 Erwin Rd, Durham, NC 27710; Department of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Tuebingen, Germany (C.S., K.N.); and Department of Computed Tomography, Siemens Medical Solutions USA, Malvern, Pa (J.C.R.)
| | - Rendon C. Nelson
- From the Departments of Radiology (C.S., B.P., S.H., P.D., R.C.N., D.M.) and Biostatistics and Bioinformatics (A.E.F.), Duke University Medical Center, Box 3808 Erwin Rd, Durham, NC 27710; Department of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Tuebingen, Germany (C.S., K.N.); and Department of Computed Tomography, Siemens Medical Solutions USA, Malvern, Pa (J.C.R.)
| | - Alfredo E. Farjat
- From the Departments of Radiology (C.S., B.P., S.H., P.D., R.C.N., D.M.) and Biostatistics and Bioinformatics (A.E.F.), Duke University Medical Center, Box 3808 Erwin Rd, Durham, NC 27710; Department of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Tuebingen, Germany (C.S., K.N.); and Department of Computed Tomography, Siemens Medical Solutions USA, Malvern, Pa (J.C.R.)
| | - Daniele Marin
- From the Departments of Radiology (C.S., B.P., S.H., P.D., R.C.N., D.M.) and Biostatistics and Bioinformatics (A.E.F.), Duke University Medical Center, Box 3808 Erwin Rd, Durham, NC 27710; Department of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Tuebingen, Germany (C.S., K.N.); and Department of Computed Tomography, Siemens Medical Solutions USA, Malvern, Pa (J.C.R.)
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Optimization of Scan and Reconstruction Parameters for Renal Artery CT Angiography with Iterative Reconstruction at Low kVp Compared with Filtered Back Projection at 120 kVp Acquisition. IRANIAN JOURNAL OF RADIOLOGY 2018. [DOI: 10.5812/iranjradiol.14860] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Schieda N, Lim RS, McInnes MDF, Thomassin I, Renard-Penna R, Tavolaro S, Cornelis FH. Characterization of small (<4cm) solid renal masses by computed tomography and magnetic resonance imaging: Current evidence and further development. Diagn Interv Imaging 2018; 99:443-455. [PMID: 29606371 DOI: 10.1016/j.diii.2018.03.004] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2018] [Accepted: 03/07/2018] [Indexed: 12/15/2022]
Abstract
Diagnosis of renal cell carcinomas (RCC) subtypes on computed tomography (CT) and magnetic resonance imaging (MRI) is clinically important. There is increased evidence that confident imaging diagnosis is now possible while standardization of the protocols is still required. Fat-poor angiomyolipoma show homogeneously increased unenhanced attenuation, homogeneously low signal on T2-weighted MRI and apparent diffusion coefficient (ADC) map, may contain microscopic fat and are classically avidly enhancing. Papillary RCC are also typically hyperattenuating and of low signal on T2-weighted MRI and ADC map; however, their gradual progressive enhancement after intravenous administration of contrast material is a differentiating feature. Clear cell RCC are avidly enhancing and may show intracellular lipid; however, these tumors are heterogeneous and are of characteristically increased signal on T2-weighted MRI. Oncocytomas and chromophobe tumors (collectively oncocytic neoplasms) show intermediate imaging findings on CT and MRI and are the most difficult subtype to characterize accurately; however, both show intermediately increased signal on T2-weighted with more gradual enhancement compared to clear cell RCC. Chromophobe tumors tend to be more homogeneous compared to oncocytomas, which can be heterogeneous, but other described features (e.g. scar, segmental enhancement inversion) overlap considerably between tumors. Tumor grade is another important consideration in small solid renal masses with emerging studies on both CT and MRI suggesting that high grade tumors may be separated from lower grade disease based upon imaging features.
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Affiliation(s)
- N Schieda
- Department of Medical Imaging, The Ottawa Hospital, The University of Ottawa, Ottawa, ON, Canada
| | - R S Lim
- Department of Medical Imaging, The Ottawa Hospital, The University of Ottawa, Ottawa, ON, Canada
| | - M D F McInnes
- Department of Medical Imaging, The Ottawa Hospital, The University of Ottawa, Ottawa, ON, Canada
| | - I Thomassin
- Sorbonne Université, Institut des Sciences du Calcul et des Données, Department of Radiology, Tenon Hospital - HUEP - APHP, 4 rue de la Chine, 75020 Paris, France
| | - R Renard-Penna
- Sorbonne Université, Institut des Sciences du Calcul et des Données, Department of Radiology, Tenon Hospital - HUEP - APHP, 4 rue de la Chine, 75020 Paris, France
| | - S Tavolaro
- Sorbonne Université, Institut des Sciences du Calcul et des Données, Department of Radiology, Tenon Hospital - HUEP - APHP, 4 rue de la Chine, 75020 Paris, France
| | - F H Cornelis
- Sorbonne Université, Institut des Sciences du Calcul et des Données, Department of Radiology, Tenon Hospital - HUEP - APHP, 4 rue de la Chine, 75020 Paris, France.
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Energy-Specific Optimization of Attenuation Thresholds for Low-Energy Virtual Monoenergetic Images in Renal Lesion Evaluation. AJR Am J Roentgenol 2018; 210:W205-W217. [PMID: 29547057 DOI: 10.2214/ajr.17.18641] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
OBJECTIVE The purpose of this study was to determine in vitro and in vivo the optimal threshold for renal lesion vascularity at low-energy (40-60 keV) virtual monoenergetic imaging. MATERIALS AND METHODS A rod simulating unenhanced renal parenchymal attenuation (35 HU) was fitted with a syringe containing water. Three iodinated solutions (0.38, 0.57, and 0.76 mg I/mL) were inserted into another rod that simulated enhanced renal parenchyma (180 HU). Rods were inserted into cylindric phantoms of three different body sizes and scanned with single- and dual-energy MDCT. In addition, 102 patients (32 men, 70 women; mean age, 66.8 ± 12.9 [SD] years) with 112 renal lesions (67 nonvascular, 45 vascular) measuring 1.1-8.9 cm underwent single-energy unenhanced and contrast-enhanced dual-energy CT. Optimal threshold attenuation values that differentiated vascular from nonvascular lesions at 40-60 keV were determined. RESULTS Mean optimal threshold values were 30.2 ± 3.6 (standard error), 20.9 ± 1.3, and 16.1 ± 1.0 HU in the phantom, and 35.9 ± 3.6, 25.4 ± 1.8, and 17.8 ± 1.8 HU in the patients at 40, 50, and 60 keV. Sensitivity and specificity for the thresholds did not change significantly between low-energy and 70-keV virtual monoenergetic imaging (sensitivity, 87-98%; specificity, 90-91%). The AUC from 40 to 70 keV was 0.96 (95% CI, 0.93-0.99) to 0.98 (95% CI, 0.95-1.00). CONCLUSION Low-energy virtual monoenergetic imaging at energy-specific optimized attenuation thresholds can be used for reliable characterization of renal lesions.
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Toia GV, Kim S, Dighe MK, Mileto A. Dual-Energy Computed Tomography in Body Imaging. Semin Roentgenol 2018; 53:132-146. [PMID: 29861005 DOI: 10.1053/j.ro.2018.02.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Affiliation(s)
- Giuseppe V Toia
- Body Imaging Section, Department of Radiology, University of Washington School of Medicine, Seattle, WA 98195
| | - Sooah Kim
- Body Imaging Section, Department of Radiology, University of Washington School of Medicine, Seattle, WA 98195
| | - Manjiri K Dighe
- Body Imaging Section, Department of Radiology, University of Washington School of Medicine, Seattle, WA 98195
| | - Achille Mileto
- Body Imaging Section, Department of Radiology, University of Washington School of Medicine, Seattle, WA 98195.
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Phantom Validation of Spectral Detector Computed Tomography–Derived Virtual Monoenergetic, Virtual Noncontrast, and Iodine Quantification Images. J Comput Assist Tomogr 2018; 42:959-964. [DOI: 10.1097/rct.0000000000000763] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Krishna S, Murray CA, McInnes MD, Chatelain R, Siddaiah M, Al-Dandan O, Narayanasamy S, Schieda N. CT imaging of solid renal masses: pitfalls and solutions. Clin Radiol 2017; 72:708-721. [PMID: 28592361 DOI: 10.1016/j.crad.2017.05.003] [Citation(s) in RCA: 58] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2016] [Revised: 04/20/2017] [Accepted: 05/02/2017] [Indexed: 12/22/2022]
Abstract
Computed tomography (CT) remains the first-line imaging test for the characterisation of renal masses; however, CT has inherent limitations, which if unrecognised, may result in errors. The purpose of this manuscript is to present 10 pitfalls in the CT evaluation of solid renal masses. Thin section non-contrast enhanced CT (NECT) is required to confirm the presence of macroscopic fat and diagnosis of angiomyolipoma (AML). Renal cell carcinoma (RCC) can mimic renal cysts at NECT when measuring <20 HU, but are usually heterogeneous with irregular margins. Haemorrhagic cysts (HC) may simulate solid lesions at NECT; however, a homogeneous lesion measuring >70 HU is essentially diagnostic of HC. Homogeneous lesions measuring 20-70 HU at NECT or >20 HU at contrast-enhanced (CE) CT, are indeterminate, requiring further evaluation. Dual-energy CT (DECT) can accurately characterise these lesions at baseline through virtual NECT, iodine overlay images, or quantitative iodine concentration analysis without recalling the patient. A minority of hypo-enhancing renal masses (most commonly papillary RCC) show indeterminate or absent enhancement at multiphase CT. Follow-up, CE ultrasound or magnetic resonance imaging (MRI) is required to further characterise these lesions. Small (<3 cm) endophytic cysts commonly show pseudo-enhancement, which may simulate RCC; this can be overcome with DECT or MRI. In small (<4 cm) solid renal masses, 20% of lesions are benign, chiefly AML without visible fat or oncocytoma. Low-dose techniques may simulate lesion heterogeneity due to increased image noise, which can be ameliorated through the appropriate use of iterative reconstruction algorithms.
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Affiliation(s)
- S Krishna
- Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, Ottawa, Canada
| | - C A Murray
- Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, Ottawa, Canada
| | - M D McInnes
- Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, Ottawa, Canada
| | - R Chatelain
- Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, Ottawa, Canada
| | - M Siddaiah
- Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, Ottawa, Canada
| | - O Al-Dandan
- Department of Radiology, University of Dammam, Dammam, Saudi Arabia
| | - S Narayanasamy
- Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, Ottawa, Canada
| | - N Schieda
- Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, Ottawa, Canada.
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Behbahani S, Mittal S, Patlas MN, Moshiri M, Menias CO, Katz DS. "Incidentalomas" on abdominal and pelvic CT in emergency radiology: literature review and current management recommendations. Abdom Radiol (NY) 2017; 42:1046-1061. [PMID: 27695953 DOI: 10.1007/s00261-016-0914-5] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The purpose of this article is to familiarize radiologists and clinicians with a subset of common and uncommon incidental findings on abdominal and pelvic computed tomography examinations, including hepatic, splenic, renal, adrenal, pancreatic, aortic/iliac arterial, gynecological, and a few other miscellaneous findings, with an emphasis on "incidentalomas" discovered in the emergency setting. In addition, we will review the complex problem of diagnosing such entities, and provide current management recommendations. Representative case examples, which we have encountered in our clinical practices, will be demonstrated.
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Affiliation(s)
- Siavash Behbahani
- Department of Radiology, Winthrop-University Hospital, 259 First Street, Mineola, NY, 11501, USA.
| | - Sameer Mittal
- Department of Radiology, Winthrop-University Hospital, 259 First Street, Mineola, NY, 11501, USA
| | - Michael N Patlas
- Department of Radiology, Hamilton General Hospital, McMaster University, 237 Barton St., East Hamilton, ON, L8L 2X2, Canada
| | - Mariam Moshiri
- Department of Radiology, University of Washington Medical Center, 1959 NE Pacific Street, Seattle, WA, 98195, USA
| | - Christine O Menias
- Department of Radiology, Mayo Clinic, 13400 E. Shea Blvd., Scottsdale, AZ, 85259, USA
| | - Douglas S Katz
- Department of Radiology, Winthrop-University Hospital, 259 First Street, Mineola, NY, 11501, USA
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Marin D, Davis D, Roy Choudhury K, Patel B, Gupta RT, Mileto A, Nelson RC. Characterization of Small Focal Renal Lesions: Diagnostic Accuracy with Single-Phase Contrast-enhanced Dual-Energy CT with Material Attenuation Analysis Compared with Conventional Attenuation Measurements. Radiology 2017; 284:737-747. [PMID: 28353408 DOI: 10.1148/radiol.2017161872] [Citation(s) in RCA: 60] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Purpose To determine whether single-phase contrast material-enhanced dual-energy material attenuation analysis improves the characterization of small (1-4 cm) renal lesions compared with conventional attenuation measurements by using histopathologic analysis and follow-up imaging as the clinical reference standards. Materials and Methods In this retrospective, HIPAA-compliant, institutional review board-approved study, 136 consecutive patients (95 men and 41 women; mean age, 54 years) with 144 renal lesions (111 benign, 33 malignant) measuring 1-4 cm underwent single-energy unenhanced and contrast-enhanced dual-energy computed tomography (CT) of the abdomen. For each renal lesion, attenuation measurements were obtained; attenuation change of greater than or equal to 15 HU was considered evidence of enhancement. Dual-energy attenuation measurements were also obtained by using iodine-water, water-iodine, calcium-water, and water-calcium material basis pairs. Mean lesion attenuation values and material densities were compared between benign and malignant renal lesions by using the two-sample t test. Diagnostic accuracy of attenuation measurements and dual-energy material densities was assessed and validated by using 10-fold cross-validation to limit the effect of optimistic bias. Results By using cross-validated optimal thresholds at 100% sensitivity, iodine-water material attenuation images significantly improved specificity for differentiating between benign and malignant renal lesions compared with conventional enhancement measurements (93% [103 of 111]; 95% confidence interval: 86%, 97%; vs 81% [90 of 111]; 95% confidence interval: 73%, 88%) (P = .02). Sensitivity with iodine-water and calcium-water material attenuation images was also higher than that with conventional enhancement measurements, although the difference was not statistically significant. Conclusion Contrast-enhanced dual-energy CT with material attenuation analysis improves specificity for characterization of small (1-4 cm) renal lesions compared with conventional attenuation measurements. © RSNA, 2017 Online supplemental material is available for this article.
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Affiliation(s)
- Daniele Marin
- From the Department of Radiology (D.M., D.D., B.P., R.T.G., A.M., R.C.N.) and Carl E. Ravin Advanced Imaging Laboratories (K.R.C.), Duke University Medical Center, Box 3808 Erwin Rd, Durham, NC 27710
| | - Drew Davis
- From the Department of Radiology (D.M., D.D., B.P., R.T.G., A.M., R.C.N.) and Carl E. Ravin Advanced Imaging Laboratories (K.R.C.), Duke University Medical Center, Box 3808 Erwin Rd, Durham, NC 27710
| | - Kingshuk Roy Choudhury
- From the Department of Radiology (D.M., D.D., B.P., R.T.G., A.M., R.C.N.) and Carl E. Ravin Advanced Imaging Laboratories (K.R.C.), Duke University Medical Center, Box 3808 Erwin Rd, Durham, NC 27710
| | - Bhavik Patel
- From the Department of Radiology (D.M., D.D., B.P., R.T.G., A.M., R.C.N.) and Carl E. Ravin Advanced Imaging Laboratories (K.R.C.), Duke University Medical Center, Box 3808 Erwin Rd, Durham, NC 27710
| | - Rajan T Gupta
- From the Department of Radiology (D.M., D.D., B.P., R.T.G., A.M., R.C.N.) and Carl E. Ravin Advanced Imaging Laboratories (K.R.C.), Duke University Medical Center, Box 3808 Erwin Rd, Durham, NC 27710
| | - Achille Mileto
- From the Department of Radiology (D.M., D.D., B.P., R.T.G., A.M., R.C.N.) and Carl E. Ravin Advanced Imaging Laboratories (K.R.C.), Duke University Medical Center, Box 3808 Erwin Rd, Durham, NC 27710
| | - Rendon C Nelson
- From the Department of Radiology (D.M., D.D., B.P., R.T.G., A.M., R.C.N.) and Carl E. Ravin Advanced Imaging Laboratories (K.R.C.), Duke University Medical Center, Box 3808 Erwin Rd, Durham, NC 27710
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Patino M, Prochowski A, Agrawal MD, Simeone FJ, Gupta R, Hahn PF, Sahani DV. Material Separation Using Dual-Energy CT: Current and Emerging Applications. Radiographics 2017; 36:1087-105. [PMID: 27399237 DOI: 10.1148/rg.2016150220] [Citation(s) in RCA: 197] [Impact Index Per Article: 28.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Dual-energy (DE) computed tomography (CT) offers the opportunity to generate material-specific images on the basis of the atomic number Z and the unique mass attenuation coefficient of a particular material at different x-ray energies. Material-specific images provide qualitative and quantitative information about tissue composition and contrast media distribution. The most significant contribution of DE CT-based material characterization comes from the capability to assess iodine distribution through the creation of an image that exclusively shows iodine. These iodine-specific images increase tissue contrast and amplify subtle differences in attenuation between normal and abnormal tissues, improving lesion detection and characterization in the abdomen. In addition, DE CT enables computational removal of iodine influence from a CT image, generating virtual noncontrast images. Several additional materials, including calcium, fat, and uric acid, can be separated, permitting imaging assessment of metabolic imbalances, elemental deficiencies, and abnormal deposition of materials within tissues. The ability to obtain material-specific images from a single, contrast-enhanced CT acquisition can complement the anatomic knowledge with functional information, and may be used to reduce the radiation dose by decreasing the number of phases in a multiphasic CT examination. DE CT also enables generation of energy-specific and virtual monochromatic images. Clinical applications of DE CT leverage both material-specific images and virtual monochromatic images to expand the current role of CT and overcome several limitations of single-energy CT. (©)RSNA, 2016.
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Affiliation(s)
- Manuel Patino
- From the Division of Abdominal Imaging, Department of Radiology (M.P., A.P., M.D.A., F.J.S., R.G., D.V.S.), and Department of Abdominal Imaging and Intervention (P.F.H.), Massachusetts General Hospital and Harvard Medical School, 55 Fruit St, Boston, MA 02114
| | - Andrea Prochowski
- From the Division of Abdominal Imaging, Department of Radiology (M.P., A.P., M.D.A., F.J.S., R.G., D.V.S.), and Department of Abdominal Imaging and Intervention (P.F.H.), Massachusetts General Hospital and Harvard Medical School, 55 Fruit St, Boston, MA 02114
| | - Mukta D Agrawal
- From the Division of Abdominal Imaging, Department of Radiology (M.P., A.P., M.D.A., F.J.S., R.G., D.V.S.), and Department of Abdominal Imaging and Intervention (P.F.H.), Massachusetts General Hospital and Harvard Medical School, 55 Fruit St, Boston, MA 02114
| | - Frank J Simeone
- From the Division of Abdominal Imaging, Department of Radiology (M.P., A.P., M.D.A., F.J.S., R.G., D.V.S.), and Department of Abdominal Imaging and Intervention (P.F.H.), Massachusetts General Hospital and Harvard Medical School, 55 Fruit St, Boston, MA 02114
| | - Rajiv Gupta
- From the Division of Abdominal Imaging, Department of Radiology (M.P., A.P., M.D.A., F.J.S., R.G., D.V.S.), and Department of Abdominal Imaging and Intervention (P.F.H.), Massachusetts General Hospital and Harvard Medical School, 55 Fruit St, Boston, MA 02114
| | - Peter F Hahn
- From the Division of Abdominal Imaging, Department of Radiology (M.P., A.P., M.D.A., F.J.S., R.G., D.V.S.), and Department of Abdominal Imaging and Intervention (P.F.H.), Massachusetts General Hospital and Harvard Medical School, 55 Fruit St, Boston, MA 02114
| | - Dushyant V Sahani
- From the Division of Abdominal Imaging, Department of Radiology (M.P., A.P., M.D.A., F.J.S., R.G., D.V.S.), and Department of Abdominal Imaging and Intervention (P.F.H.), Massachusetts General Hospital and Harvard Medical School, 55 Fruit St, Boston, MA 02114
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Abstract
Detection of solid renal masses has increased, although it has not resulted in significant mortality reduction from renal cell carcinoma. Efforts for improved lesion characterization have been pursued and incorporated in management algorithms, in order to distinguish clinically significant tumors from favorable or benign conditions. Concurrently, imaging methods have produced evidence supporting their role as useful tools not only in lesion detection but also characterization. In addition, newer modalities, such as contrast-enhanced ultrasonography, and advanced applications of MR imaging, are being investigated. This article reviews the current role of different imaging methods in the characterization of solid renal masses.
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Affiliation(s)
- Fernando U Kay
- Department of Radiology, UT Southwestern Medical Center, Harry Hines 5323, 2201 Inwood Road, Dallas, TX 75390, USA
| | - Ivan Pedrosa
- Department of Radiology and Advanced Imaging Research Center, UT Southwestern Medical Center, Harry Hines 5323, 2201 Inwood Road, Dallas, TX 75390, USA.
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Abstract
Reignited by innovations in scanner engineering and software design, dual-energy computed tomography (CT) has come back into the clinical radiology arena in the last decade. Possibilities for noninvasive in vivo characterization of genitourinary disease, especially for renal stones and renal masses, have become the pinnacle offerings of dual-energy CT for body imaging in clinical practice. This article renders a state-of-the-art review on clinical applications of dual-energy CT in genitourinary imaging.
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Affiliation(s)
- Achille Mileto
- Department of Radiology, University of Washington School of Medicine, Box 357115, 1959 Northeast Pacific Street, Seattle, WA 98195, USA
| | - Daniele Marin
- Department of Radiology, Duke University Medical Center, Box 3808 Erwin Road, Durham, NC 27710, USA.
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47
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Abstract
Dual-energy CT is being increasingly used for abdominal imaging due to its incremental benefit of material characterization without significant increase in radiation dose. Knowledge of the different dual-energy CT acquisition techniques and image processing algorithms is essential to optimize imaging protocols and understand potential limitations while using dual-energy CT renal imaging such as urinary calculi characterization, assessment of renal masses and in CT urography. This review article provides an overview of the current dual-energy CT techniques and use of dual-energy CT in renal imaging.
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48
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Mileto A, Sofue K, Marin D. Imaging the renal lesion with dual-energy multidetector CT and multi-energy applications in clinical practice: what can it truly do for you? Eur Radiol 2016; 26:3677-90. [DOI: 10.1007/s00330-015-4180-7] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2015] [Revised: 12/16/2015] [Accepted: 12/18/2015] [Indexed: 01/30/2023]
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Nicolau C, Paño B, Sebastià C. [Managing focal incidental renal lesions]. RADIOLOGIA 2016; 58:81-7. [PMID: 26723224 DOI: 10.1016/j.rx.2015.10.008] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2015] [Revised: 09/21/2015] [Accepted: 10/21/2015] [Indexed: 02/06/2023]
Abstract
Incidental renal lesions are relatively common in daily radiological practice. It is important to know the different diagnostic possibilities for incidentally detected lesions, depending on whether they are cystic or solid. The management of cystic lesions is guided by the Bosniak classification. In solid lesions, the goal is to differentiate between renal cancer and benign tumors such as fat-poor angiomyolipoma and oncocytoma. Radiologists need to know the recommendations for the management of these lesions and the usefulness of the different imaging techniques and interventional procedures in function of the characteristics of the incidental lesion and the patient's life expectancy.
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Affiliation(s)
- C Nicolau
- Servicio de Radiología, Hospital Clínic de Barcelona, Barcelona, España.
| | - B Paño
- Servicio de Radiología, Hospital Clínic de Barcelona, Barcelona, España
| | - C Sebastià
- Servicio de Radiología, Hospital Clínic de Barcelona, Barcelona, España
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50
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Patel BN, Gupta RT, Zani S, Jeffrey RB, Paulson EK, Nelson RC. How the radiologist can add value in the evaluation of the pre- and post-surgical pancreas. ABDOMINAL IMAGING 2015; 40:2932-44. [PMID: 26482048 DOI: 10.1007/s00261-015-0549-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Disease involving the pancreas can be a significant diagnostic challenge to the interpreting radiologist. Moreover, the majority of disease processes involving the pancreas carry high significant morbidity and mortality either due to their natural process or related to their treatment options. As such, it is critical for radiologists to not only provide accurate information from imaging to guide patient management, but also deliver that information in a clear manner so as to aid the referring physician. This is no better exemplified than in the case of pre-operative staging for pancreatic adenocarcinoma. Furthermore, with the changing healthcare landscape, it is now more important than ever to ensure that the value of radiology service to other providers is high. In this review, we will discuss how the radiologist can add value to the referring physician by employing novel imaging techniques in the pre-operative evaluation as well as how the information can be conveyed in the most meaningful manner through the use of structured reporting. We will also familiarize the radiologist with the imaging appearance of common complications that occur after pancreatic surgery.
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