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Galluzzo A, Danti G, Bicci E, Mastrorosato M, Bertelli E, Miele V. The role of Dual-Energy CT in the study of urinary tract tumours: review of recent literature. Semin Ultrasound CT MR 2023; 44:136-144. [DOI: 10.1053/j.sult.2023.03.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/09/2023]
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2
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An introduction to photon-counting detector CT (PCD CT) for radiologists. Jpn J Radiol 2023; 41:266-282. [PMID: 36255601 PMCID: PMC9974724 DOI: 10.1007/s11604-022-01350-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 10/01/2022] [Indexed: 10/24/2022]
Abstract
The basic performance of photon-counting detector computed tomography (PCD CT) is superior to conventional CT (energy-integrating detector CT: EID CT) because its spatial- and contrast resolution of soft tissues is higher, and artifacts are reduced. Because the X-ray photon energy separation is better with PCD CT than conventional EID-based dual-energy CT, it has the potential to improve virtual monochromatic- and virtual non-contrast images, material decomposition including quantification of the iodine distribution, and K-edge imaging. Therefore, its clinical applicability may be increased. Although the image quality of PCD CT scans is superior to that of EID CT currently, further improvement may be possible. The introduction of iterative image reconstruction and reconstruction with deep convolutional neural networks will be useful.
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Bicci E, Mastrorosato M, Danti G, Lattavo L, Bertelli E, Cozzi D, Pradella S, Agostini S, Miele V. Dual-Energy CT applications in urinary tract cancers: an update. TUMORI JOURNAL 2022; 109:148-156. [PMID: 35442120 DOI: 10.1177/03008916221088883] [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: 11/15/2022]
Abstract
Urothelial tumours are the fourth most common cancer in the world and account for the majority of tumours involving the bladder. The symptom that often leads to diagnosis is the presence of haematuria. Diagnosis is made by cystoscopy, which is currently the gold standard in bladder cancer. Computed tomography (CT) performed with pre- and post-contrastographic phases is essential in order to assess the loco-regional and distant extension of disease. The diagnosis and staging of upper tract urothelial cancer (UTUC) are best done with computed tomography urography and flexible ureteroscopy (URS). In the acquisition protocol of this type of tumour, a urographic phase is mandatory, which allows for an accurate diagnostic assessment of the renal pelvis, ureter and bladder, especially in papillary forms. The use of multiple acquisition phases, especially in this type of patient who will have to perform follow-up CTs, leads to the problem of overexposure to ionising radiation, as well as the frequent administration of iodinated contrast medium. For this reason, in recent year, the focus has been put on advanced technologies such as dual-energy CT (DECT), that is a method that can offer some advantages for both radiologist and patient, in the diagnosis of cancer and, in particular, urinary tract disease.
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Affiliation(s)
- Eleonora Bicci
- Department of Radiology, Careggi University Hospital, Florence, Italy
| | | | - Ginevra Danti
- Department of Radiology, Careggi University Hospital, Florence, Italy
| | - Lorenzo Lattavo
- Department of Radiology, Careggi University Hospital, Florence, Italy
| | - Elena Bertelli
- Department of Radiology, Careggi University Hospital, Florence, Italy
| | - Diletta Cozzi
- Department of Radiology, Careggi University Hospital, Florence, Italy
| | - Silvia Pradella
- Department of Radiology, Careggi University Hospital, Florence, Italy
| | - Simone Agostini
- Department of Radiology, Careggi University Hospital, Florence, Italy
| | - Vittorio Miele
- Department of Radiology, Careggi University Hospital, Florence, Italy
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Yao Y, Li L, Chen Z. Iterative dynamic dual-energy CT algorithm in reducing statistical noise in multi-energy CT imaging. Phys Med Biol 2021; 67. [PMID: 34937002 DOI: 10.1088/1361-6560/ac459d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2021] [Accepted: 12/22/2021] [Indexed: 11/11/2022]
Abstract
Multi-energy spectral CT has a broader range of applications with the recent development of photon-counting detectors. However, the photons counted in each energy bin decrease when the number of energy bins increases, which causes a higher statistical noise level of the CT image. In this work, we propose a novel iterative dynamic dual-energy CT algorithm to reduce the statistical noise. In the proposed algorithm, the multi-energy projections are estimated from the dynamic dual-energy CT data during the iterative process. The proposed algorithm is verified on sufficient numerical simulations and a laboratory two-energy-threshold PCD system. By applying the same reconstruction algorithm, the dynamic dual-energy CT's final reconstruction results have a much lower statistical noise level than the conventional multi-energy CT. Moreover, based on the analysis of the simulation results, we explain why the dynamic dual-energy CT has a lower statistical noise level than the conventional multi-energy CT. The reason is that: the statistical noise level of multi-energy projection estimated with the proposed algorithm is much lower than that of the conventional multi-energy CT, which leads to less statistical noise of the dynamic dual-energy CT imaging.
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Affiliation(s)
- Yidi Yao
- Department of Engineering Physics, Tsinghua University, 30 Shuangqing Rd, Hai Dian Qu, Beijing, 100084, CHINA
| | - Liang Li
- Department of Engineering Physics, Tsinghua University, 30 Shuangqing Rd, Hai Dian Qu, Beijing, 100084, CHINA
| | - Zhiqiang Chen
- Department of Engineering Physics, Tsinghua University, 30 Shuangqing Rd, Hai Dian Qu, Beijing, 100084, CHINA
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Bhawani SS, Jehangir M, Masood M, Dar SA, Syed SN. Dual-Energy Multidetector Computed Tomography: A Highly Accurate Non-Invasive Tool
for in Vivo Determination of Chemical Composition of Renal Calculi. GALICIAN MEDICAL JOURNAL 2021. [DOI: 10.21802/gmj.2021.3.4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Introduction. Computed tomography is more accurate than excretory urography in
evaluation of renal stones due to its high sensitivity and temporal resolution; it
permits sub-millimetric evaluation of the size and site of calculi but cannot evaluate
their chemical composition. Dual-energy computed tomography allows evaluating the
chemical composition of urinary calculi using simultaneous image acquisition at two
different energy levels.
The objective of the research was to determine renal stone
composition using dual-energy multidetector computed tomography, and its correlation
with post-extraction chemical analysis of stones.
Materials and Methods. This
prospective study was conducted in the Department of Radiodiagnosis and Imaging from
September 2017 to March 2019. A total of 50 patients with urolithiasis at the age of
18-70 years were included in the study. Dual-energy computed tomography ratios of
various stones were noted, and preoperative composition of calculi was given based on
their colour and dual-energy computed tomography ratio. These results were compared with
the post-extraction chemical analysis of stones (using Fourier infrared transform
spectroscopy as the standard comparative method.)
Results. The most common type of
calculi in our study population was calcium oxalate stones (78%) followed by uric acid
stones (12%), cystine stones (6%) and hydroxyapatite stones (4%). The dual-energy ratio
of calcium oxalate, uric acid, cystine and hydroxyapatite stones ranged from 1.38-1.59,
0.94-1.08, and 1.20-1.28 and 1.52-1.57, respectively, with the mean dual-energy ratio of
1.43, 1.01, 1.25 and 1.55, respectively. Dual-energy computed tomography was found to be
100% sensitive and specific for differentiating uric acid stones from non‑uric acid
stones. The sensitivity and specificity in differentiating calcium oxalate calculus from
non‑calcium oxalate calculus was 97.5% and 90.9%, respectively, with 96% accuracy and
kappa value of 0.883 suggesting strong agreement.
Conclusions. Dual-energy computed
tomography is highly sensitive and accurate in distinguishing between various types of
renal calculi. It has vital role in management as uric acid calculi are amenable to drug
treatment, while most of non-uric acid calculi require surgical intervention.
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Liu T, Hong G, Cai W. A comparative study of effective atomic number calculations for dual-energy CT. Med Phys 2021; 48:5908-5923. [PMID: 34390593 DOI: 10.1002/mp.15166] [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: 01/07/2021] [Revised: 06/27/2021] [Accepted: 08/04/2021] [Indexed: 11/12/2022] Open
Abstract
PURPOSE Several new formalisms of Effective Atomic Number ( Z eff ) have emerged recently, deviating from the widely accepted Mayneord's definition. This comparative study aims to reexamine their theories, reveal their connections, and apply them to material differentiation on dual-energy computed tomography (DECT). METHODS The first part of this paper is an in-depth review of several highly cited Z eff formalisms. This part includes (1) refuting the claim in Taylor's study that the classic Mayneord's formalism was inaccurate, (2) showing that Mayneord's, Rutherford's, and Bourque's formalisms were equivalent, and (3) explaining the fundamental difference between Taylor's and Bourque's formalisms. The second part of this paper explains how we translated the theories into software implementation and added an open-source Z eff calculation engine to our free research software 3D Quantitative Imaging (3DQI). The work includes developing an interpolation method based on radial basis function to make Taylor's formalism applicable to DECT, and devising a table lookup method to generate Z eff map with high efficiency for all appropriate formalisms. RESULTS Comparing Bourque's and Taylor's formalisms for six common materials over 40 ∼ 100 keV energy range, it was found that Bourque's Z eff values had a weak energy dependence by 0.18% ∼ 3.10%, but for Taylor's results this variation increased by a factor of 10. Further comparison showed that at 61 keV, different formalisms fall into two categories-Bourque, Mayneord, Van Abbema (a derivative of Rutherford) for the first category, and Taylor and Manohara for the second. Formalisms within each category produced similar Z eff values. For a material consisting of two elements, the two categories of formalisms tended to show a greater discrepancy if the constituent elements had larger difference in Z . The developed Z eff calculation engine was successfully applied to kidney stone classification and colon electronic cleansing. CONCLUSIONS We renewed the understanding of several popular Z eff formalisms: Contrary to the conclusion of Taylor's study, Mayneord's power-law formula is well grounded in theory; Bourque's formalism (based on the average electron microscopic cross-section) is considered numerically equivalent to Rutherford's, but with the advantage of being mathematically rigorous and physically meaningful; Taylor's formalism (based on the average atomic microscopic cross-section) is theoretically not suitable for DECT but a workaround still exists; Manohara's formalism should be used with caution due to a problem in its definition of electron cross-sections. The developed Z eff engine in the 3DQI software facilitated accurate and efficient Z eff estimate for various DECT applications.
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Affiliation(s)
- Tianyu Liu
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Guobin Hong
- Department of Radiology, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, Guangdong, China
| | - Wenli Cai
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
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Sherlock M, Scarsbrook A, Abbas A, Fraser S, Limumpornpetch P, Dineen R, Stewart PM. Adrenal Incidentaloma. Endocr Rev 2020; 41:bnaa008. [PMID: 32266384 PMCID: PMC7431180 DOI: 10.1210/endrev/bnaa008] [Citation(s) in RCA: 140] [Impact Index Per Article: 35.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2019] [Accepted: 04/06/2020] [Indexed: 12/14/2022]
Abstract
An adrenal incidentaloma is now established as a common endocrine diagnosis that requires a multidisciplinary approach for effective management. The majority of patients can be reassured and discharged, but a personalized approach based upon image analysis, endocrine workup, and clinical symptoms and signs are required in every case. Adrenocortical carcinoma remains a real concern but is restricted to <2% of all cases. Functional adrenal incidentaloma lesions are commoner (but still probably <10% of total) and the greatest challenge remains the diagnosis and optimum management of autonomous cortisol secretion. Modern-day surgery has improved outcomes and novel radiological and urinary biomarkers will improve early detection and patient stratification in future years to come.
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Affiliation(s)
- Mark Sherlock
- Department of Endocrinology, Beaumont Hospital, Dublin, Ireland
- Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Andrew Scarsbrook
- Department of Radiology, Leeds Teaching Hospitals NHS Trust, St James University Hospital, Leeds, UK
| | - Afroze Abbas
- Department of Endocrinology, Leeds Teaching Hospitals NHS Trust, St James University Hospital, Leeds, UK
| | - Sheila Fraser
- Department of Endocrine Surgery, Leeds Teaching Hospitals NHS Trust, St James University Hospital, Leeds, UK
| | - Padiporn Limumpornpetch
- Faculty of Medicine & Health, University of Leeds, Worsley Building, Clarendon Way, Leeds, UK
| | - Rosemary Dineen
- Department of Endocrinology, Beaumont Hospital, Dublin, Ireland
- Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Paul M Stewart
- Faculty of Medicine & Health, University of Leeds, Worsley Building, Clarendon Way, Leeds, UK
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Dual-energy CT in diffuse liver disease: is there a role? Abdom Radiol (NY) 2020; 45:3413-3424. [PMID: 32772121 DOI: 10.1007/s00261-020-02702-4] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Revised: 07/19/2020] [Accepted: 07/30/2020] [Indexed: 12/12/2022]
Abstract
Dual-energy CT (DECT) can be defined as the use of two different energy levels to identify and quantify material composition. Since its inception, DECT has benefited from remarkable improvements in hardware and clinical applications. DECT enables accurate identification and quantification of multiple materials, including fat, iron, and iodine. As a consequence, multiple studies have investigated the potential role of DECT in the assessment of diffuse liver diseases. While this role is evolving, this article aims to review the most relevant literature on use of DECT for assessment of diffuse liver diseases. Moreover, the basic concepts on DECT techniques, types of image reconstruction, and DECT-dedicated software will be described, focusing on the areas that are most relevant for the evaluation of diffuse liver diseases. Also, we will review the evidence of added value of DECT in detection and assessment of hepatocellular carcinoma which is a known risk in patients with diffuse liver disease.
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Ma G, Han D, Dang S, Yu N, Yang Q, Yang C, Jin C, Dou Y. Replacing true unenhanced imaging in renal carcinoma with virtual unenhanced images in dual-energy spectral CT: a feasibility study. Clin Radiol 2020; 76:81.e21-81.e27. [PMID: 32993881 DOI: 10.1016/j.crad.2020.08.026] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Accepted: 08/21/2020] [Indexed: 11/18/2022]
Abstract
AIM To investigate the clinical value of virtual unenhanced (VNC) spectral computed tomography (CT) images to replace the conventional true unenhanced spectral CT images (TNC) in diagnosing renal carcinoma. MATERIALS AND METHODS Fifty-six cases of renal carcinoma confirmed by histopathology underwent conventional plain CT and contrast-enhanced spectral CT at arterial phase (AP) and venous phase (VP). VNC images were generated on an AW4.6 workstation. The CT attenuation, image noise, contrast-to-noise ratio (CNR), and signal-noise-ratio (SNR) of the renal lesions and normal kidneys, long and short axis diameters of the lesion were measured from the three image sets and analysed using one-way analysis of variance (ANOVA). Two radiologists evaluated image quality subjectively using a five-point score, and lesion signature using a three-point score. Image quality scores were compared statistically and tested for consistency. RESULTS The two reviewers had good agreement for subjective evaluation (Kappa>0.70) and there was no difference in the quality of the scores among the three image groups. The lesion signature scores were all above the acceptable level. The CNR and SNR values in VNC were significantly higher than in TNC (p<0.05). VNC images had lower renal noise than in TNC (p<0.05). There was no difference in the long and short axis diameters of the lesion among the three image groups. VNC had higher CT attenuation values for the lesion and kidney than TNC (p<0.05), but the differences were <5 HU. CONCLUSION VNC images in spectral CT may be used to replace the conventional plain CT to reduce imaging duration and radiation dose in diagnosing renal carcinoma.
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Affiliation(s)
- G Ma
- Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, 712000, China
| | - D Han
- Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, 712000, China
| | - S Dang
- Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, 712000, China
| | - N Yu
- Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, 712000, China
| | - Q Yang
- Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, 712000, China
| | - C Yang
- Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, 712000, China
| | - C Jin
- Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Yanta Western Road, Xi'an, Shannxi, 710061, China
| | - Y Dou
- Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, 712000, China.
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10
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Marcus RP, Fletcher JG, Ferrero A, Leng S, Halaweish AF, Gutjahr R, Vrtiska TJ, Wells ML, Enders FT, McCollough CH. Detection and Characterization of Renal Stones by Using Photon-Counting-based CT. Radiology 2018; 289:436-442. [PMID: 30084728 DOI: 10.1148/radiol.2018180126] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Purpose To compare a research photon-counting-detector (PCD) CT scanner to a dual-source, dual-energy CT scanner for the detection and characterization of renal stones in human participants with known stones. Materials and Methods Thirty study participants (median age, 61 years; 10 women) underwent a clinical renal stone characterization scan by using dual-energy CT and a subsequent research PCD CT scan by using the same radiation dose (as represented by volumetric CT dose index). Two radiologists were tasked with detection of stones, which were later characterized as uric acid or non-uric acid by using a commercial dual-energy CT analysis package. Stone size and contrast-to-noise ratio were additionally calculated. McNemar odds ratios and Cohen k were calculated separately for all stones and small stones (≤3 mm). Results One-hundred sixty renal stones (91 stones that were ≤ 3 mm in axial length) were visually detected. Compared with 1-mm-thick routine images from dual-energy CT, the odds of detecting a stone at PCD CT were 1.29 (95% confidence interval: 0.48, 3.45) for all stones. Stone segmentation and characterization were successful at PCD CT in 70.0% (112 of 160) of stones versus 54.4% (87 of 160) at dual-energy CT, and was superior for stones 3 mm or smaller at PCD CT (45 vs 25 stones, respectively; P = .002). Stone characterization agreement between scanners for stones of all sizes was substantial (k = 0.65). Conclusion Photon-counting-detector CT is similar to dual-energy CT for helping to detect renal stones and is better able to help characterize small renal stones. © RSNA, 2018.
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Affiliation(s)
- Roy P Marcus
- From the Department of Radiology (R.P.M., J.G.F., A.F., S.L., T.J.V., M.L.W., C.H.M.) and Department of Biomedical Statistics and Informatics (F.T.E.), Mayo Clinic, 200 1st St SW, Rochester, MN 55905; Siemens Healthcare-Imaging and Therapy Systems, Malvern, Pa (A.F.H.); Siemens Healthcare, Forchheim, Germany (R.G.); and CAMP, Technical University of Munich, Garching (Munich), Germany (R.G.)
| | - Joel G Fletcher
- From the Department of Radiology (R.P.M., J.G.F., A.F., S.L., T.J.V., M.L.W., C.H.M.) and Department of Biomedical Statistics and Informatics (F.T.E.), Mayo Clinic, 200 1st St SW, Rochester, MN 55905; Siemens Healthcare-Imaging and Therapy Systems, Malvern, Pa (A.F.H.); Siemens Healthcare, Forchheim, Germany (R.G.); and CAMP, Technical University of Munich, Garching (Munich), Germany (R.G.)
| | - Andrea Ferrero
- From the Department of Radiology (R.P.M., J.G.F., A.F., S.L., T.J.V., M.L.W., C.H.M.) and Department of Biomedical Statistics and Informatics (F.T.E.), Mayo Clinic, 200 1st St SW, Rochester, MN 55905; Siemens Healthcare-Imaging and Therapy Systems, Malvern, Pa (A.F.H.); Siemens Healthcare, Forchheim, Germany (R.G.); and CAMP, Technical University of Munich, Garching (Munich), Germany (R.G.)
| | - Shuai Leng
- From the Department of Radiology (R.P.M., J.G.F., A.F., S.L., T.J.V., M.L.W., C.H.M.) and Department of Biomedical Statistics and Informatics (F.T.E.), Mayo Clinic, 200 1st St SW, Rochester, MN 55905; Siemens Healthcare-Imaging and Therapy Systems, Malvern, Pa (A.F.H.); Siemens Healthcare, Forchheim, Germany (R.G.); and CAMP, Technical University of Munich, Garching (Munich), Germany (R.G.)
| | - Ahmed F Halaweish
- From the Department of Radiology (R.P.M., J.G.F., A.F., S.L., T.J.V., M.L.W., C.H.M.) and Department of Biomedical Statistics and Informatics (F.T.E.), Mayo Clinic, 200 1st St SW, Rochester, MN 55905; Siemens Healthcare-Imaging and Therapy Systems, Malvern, Pa (A.F.H.); Siemens Healthcare, Forchheim, Germany (R.G.); and CAMP, Technical University of Munich, Garching (Munich), Germany (R.G.)
| | - Ralf Gutjahr
- From the Department of Radiology (R.P.M., J.G.F., A.F., S.L., T.J.V., M.L.W., C.H.M.) and Department of Biomedical Statistics and Informatics (F.T.E.), Mayo Clinic, 200 1st St SW, Rochester, MN 55905; Siemens Healthcare-Imaging and Therapy Systems, Malvern, Pa (A.F.H.); Siemens Healthcare, Forchheim, Germany (R.G.); and CAMP, Technical University of Munich, Garching (Munich), Germany (R.G.)
| | - Terri J Vrtiska
- From the Department of Radiology (R.P.M., J.G.F., A.F., S.L., T.J.V., M.L.W., C.H.M.) and Department of Biomedical Statistics and Informatics (F.T.E.), Mayo Clinic, 200 1st St SW, Rochester, MN 55905; Siemens Healthcare-Imaging and Therapy Systems, Malvern, Pa (A.F.H.); Siemens Healthcare, Forchheim, Germany (R.G.); and CAMP, Technical University of Munich, Garching (Munich), Germany (R.G.)
| | - Mike L Wells
- From the Department of Radiology (R.P.M., J.G.F., A.F., S.L., T.J.V., M.L.W., C.H.M.) and Department of Biomedical Statistics and Informatics (F.T.E.), Mayo Clinic, 200 1st St SW, Rochester, MN 55905; Siemens Healthcare-Imaging and Therapy Systems, Malvern, Pa (A.F.H.); Siemens Healthcare, Forchheim, Germany (R.G.); and CAMP, Technical University of Munich, Garching (Munich), Germany (R.G.)
| | - Felicity T Enders
- From the Department of Radiology (R.P.M., J.G.F., A.F., S.L., T.J.V., M.L.W., C.H.M.) and Department of Biomedical Statistics and Informatics (F.T.E.), Mayo Clinic, 200 1st St SW, Rochester, MN 55905; Siemens Healthcare-Imaging and Therapy Systems, Malvern, Pa (A.F.H.); Siemens Healthcare, Forchheim, Germany (R.G.); and CAMP, Technical University of Munich, Garching (Munich), Germany (R.G.)
| | - Cynthia H McCollough
- From the Department of Radiology (R.P.M., J.G.F., A.F., S.L., T.J.V., M.L.W., C.H.M.) and Department of Biomedical Statistics and Informatics (F.T.E.), Mayo Clinic, 200 1st St SW, Rochester, MN 55905; Siemens Healthcare-Imaging and Therapy Systems, Malvern, Pa (A.F.H.); Siemens Healthcare, Forchheim, Germany (R.G.); and CAMP, Technical University of Munich, Garching (Munich), Germany (R.G.)
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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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12
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Marino MA, Silipigni S, Barbaro U, Mazziotti S, Sofia C, Mazzei MA, Ascenti G. Dual Energy CT Scanning in Evaluation of the Urinary Tract. CURRENT RADIOLOGY REPORTS 2017. [DOI: 10.1007/s40134-017-0243-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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13
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Bagheri MH, Ahlman MA, Lindenberg L, Turkbey B, Lin J, Cahid Civelek A, Malayeri AA, Agarwal PK, Choyke PL, Folio LR, Apolo AB. Advances in medical imaging for the diagnosis and management of common genitourinary cancers. Urol Oncol 2017; 35:473-491. [PMID: 28506596 PMCID: PMC5931389 DOI: 10.1016/j.urolonc.2017.04.014] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2017] [Revised: 04/05/2017] [Accepted: 04/15/2017] [Indexed: 01/01/2023]
Abstract
Medical imaging of the 3 most common genitourinary (GU) cancers-prostate adenocarcinoma, renal cell carcinoma, and urothelial carcinoma of the bladder-has evolved significantly during the last decades. The most commonly used imaging modalities for the diagnosis, staging, and follow-up of GU cancers are computed tomography, magnetic resonance imaging (MRI), and positron emission tomography (PET). Multiplanar multidetector computed tomography and multiparametric MRI with diffusion-weighted imaging are the main imaging modalities for renal cell carcinoma and urothelial carcinoma, and although multiparametric MRI is rapidly becoming the main imaging tool in the evaluation of prostate adenocarcinoma, biopsy is still required for diagnosis. Functional and molecular imaging using 18-fluorodeoxyglucose-PET and sodium fluoride-PET are essential for the diagnosis, and especially follow-up, of metastatic GU tumors. This review provides an overview of the latest advances in the imaging of these 3 major GU cancers.
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Affiliation(s)
- Mohammad H Bagheri
- Clinical Image Processing Service, Radiology and Imaging Sciences Department, Clinical Center, National Institutes of Health, Bethesda, MD
| | - Mark A Ahlman
- Nuclear Medicine Department, Clinical Center, National Institutes of Health, Bethesda, MD; Radiology and Imaging Sciences Department, Clinical Center, National Institutes of Health, Bethesda, MD
| | - Liza Lindenberg
- Molecular Imaging Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Baris Turkbey
- Molecular Imaging Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Jeffrey Lin
- Genitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Ali Cahid Civelek
- Radiology and Imaging Sciences Department, Clinical Center, National Institutes of Health, Bethesda, MD
| | - Ashkan A Malayeri
- Radiology and Imaging Sciences Department, Clinical Center, National Institutes of Health, Bethesda, MD
| | - Piyush K Agarwal
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Peter L Choyke
- Molecular Imaging Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Les R Folio
- Radiology and Imaging Sciences Department, Clinical Center, National Institutes of Health, Bethesda, MD
| | - Andrea B Apolo
- Genitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD.
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Ali IT, Thomas C, Elbanna KY, Mohammed MF, Berger FH, Khosa F. Gastrointestinal Imaging: Emerging Role of Dual-Energy Computed Tomography. CURRENT RADIOLOGY REPORTS 2017. [DOI: 10.1007/s40134-017-0227-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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15
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Lesion Size and Iodine Quantification to Distinguish Low-Grade From High-Grade Clear Cell Renal Cell Carcinoma Using Dual-Energy Spectral Computed Tomography. J Comput Assist Tomogr 2017; 40:673-7. [PMID: 27224223 DOI: 10.1097/rct.0000000000000441] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
OBJECTIVE The aim of this study was to assess the utility of lesion size and iodine quantification using dual-energy spectral computed tomography to distinguish between low-grade and high-grade clear cell renal cell carcinomas (ccRCCs). METHODS Spectral parameters of 75 patients with pathologically proven ccRCCs who underwent preoperative dual-energy spectral computed tomography examinations were divided into low-grade and high-grade groups. Independent sample t test, receiver operating characteristic curve analysis, and Spearman rank correlation were analyzed. RESULTS The lesion size was significantly smaller, and spectral parameters were significantly higher in the low-grade ccRCC. The significant correlation (r = -0.412, P < 0.001) by the Spearman rank correlation was between the normalized iodine concentration and lesion size. The receiver operating characteristic analysis demonstrated that 0.710 was the optimal cutoff value, which yielded the following: sensitivity, 97.6%; specificity, 97.1%; positive predictive value, 97.6%; negative predictive value, 97.1%; and accuracy, 97.3%. CONCLUSIONS Iodine quantification can play an important role in distinguishing low-grade from high-grade ccRCC.
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Gambaro G, Croppi E, Coe F, Lingeman J, Moe O, Worcester E, Buchholz N, Bushinsky D, Curhan GC, Ferraro PM, Fuster D, Goldfarb DS, Heilberg IP, Hess B, Lieske J, Marangella M, Milliner D, Preminger GM, Reis Santos JM, Sakhaee K, Sarica K, Siener R, Strazzullo P, Williams JC. Metabolic diagnosis and medical prevention of calcium nephrolithiasis and its systemic manifestations: a consensus statement. J Nephrol 2016; 29:715-734. [PMID: 27456839 PMCID: PMC5080344 DOI: 10.1007/s40620-016-0329-y] [Citation(s) in RCA: 106] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2016] [Accepted: 06/20/2016] [Indexed: 02/04/2023]
Abstract
BACKGROUND Recently published guidelines on the medical management of renal stone disease did not address relevant topics in the field of idiopathic calcium nephrolithiasis, which are important also for clinical research. DESIGN A steering committee identified 27 questions, which were proposed to a faculty of 44 experts in nephrolithiasis and allied fields. A systematic review of the literature was conducted and 5216 potentially relevant articles were selected; from these, 407 articles were deemed to provide useful scientific information. The Faculty, divided into working groups, analysed the relevant literature. Preliminary statements developed by each group were exhaustively discussed in plenary sessions and approved. RESULTS Statements were developed to inform clinicians on the identification of secondary forms of calcium nephrolithiasis and systemic complications; on the definition of idiopathic calcium nephrolithiasis; on the use of urinary tests of crystallization and of surgical observations during stone treatment in the management of these patients; on the identification of patients warranting preventive measures; on the role of fluid and nutritional measures and of drugs to prevent recurrent episodes of stones; and finally, on the cooperation between the urologist and nephrologist in the renal stone patients. CONCLUSIONS This document has addressed idiopathic calcium nephrolithiasis from the perspective of a disease that can associate with systemic disorders, emphasizing the interplay needed between urologists and nephrologists. It is complementary to the American Urological Association and European Association of Urology guidelines. Future areas for research are identified.
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Affiliation(s)
- Giovanni Gambaro
- Department of Nephrology and Dialysis, A. Gemelli University Hospital, Catholic University of the Sacred Heart, Rome, Italy
| | | | - Fredric Coe
- Department of Nephrology, University of Chicago Medicine, Chicago, USA
| | - James Lingeman
- Department of Urology, Indiana University School of Medicine, Indianapolis, USA
| | - Orson Moe
- Department of Internal Medicine, Southwestern Medical Center, University of Texas, Dallas, USA
| | - Elen Worcester
- Department of Nephrology, University of Chicago Medicine, Chicago, USA
| | - Noor Buchholz
- Department of Urological Surgery, Sobeh's Vascular and Medical Center, Dubai, UAE
| | - David Bushinsky
- Department of Nephrology, Medical Center, University of Rochester, Rochester, USA
| | - Gary C Curhan
- Renal Division, Brigham and Women's Hospital, Boston, USA
| | - Pietro Manuel Ferraro
- Department of Nephrology and Dialysis, A. Gemelli University Hospital, Catholic University of the Sacred Heart, Rome, Italy
| | - Daniel Fuster
- Department of Nephrology, University of Bern, Bern, Switzerland
| | - David S Goldfarb
- Department of Nephrology, New York Harbor VA Health Care System, New York, USA
| | | | - Bernard Hess
- Department of Internal Medicine and Nephrology, Klinik Im Park Hospital, Zurich, Switzerland
| | - John Lieske
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, USA
| | - Martino Marangella
- Department of Nephrology, A.S.O Ordine Mauriziano Hospital, Turin, Italy
| | - Dawn Milliner
- Department of Nephrology, Mayo Clinic, Rochester, USA
| | - Glen M Preminger
- Department of Urology, Duke University Medical Center, Durham, USA
| | | | - Khashayar Sakhaee
- Southwestern Medical Center, Mineral Metabolism Research, University of Texas, Dallas, USA
| | - Kemal Sarica
- Department of Urology, Dr. Lutfi KIRDAR Kartal Research and Training Hospital, Istanbul, Turkey
| | | | | | - James C Williams
- Department of Anatomy and Cell Biology, Indiana University School of Medicine, Indiana, USA
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Kriegshauser JS, Silva AC, Paden RG, He M, Humphreys MR, Zell SI, Fu Y, Wu T. Ex Vivo Renal Stone Characterization with Single-Source Dual-Energy Computed Tomography: A Multiparametric Approach. Acad Radiol 2016; 23:969-76. [PMID: 27212607 DOI: 10.1016/j.acra.2016.03.009] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2015] [Revised: 12/09/2015] [Accepted: 03/23/2016] [Indexed: 10/21/2022]
Abstract
RATIONALE AND OBJECTIVES We aimed to investigate a multiparametric approach using single-source dual-energy computed tomography (ssDECT) for the characterization of renal stones. MATERIALS AND METHODS ssDECT scans were performed at 80 and 140 kVp on 32 ex vivo kidney stones of 3-10 mm in a phantom. True composition was determined by infrared spectroscopy to be uric acid (UA; n = 14), struvite (n = 7), cystine (n = 7), or calcium oxalate monohydrate (n = 4). Measurements were obtained for up to 52 variables, including mean density at 11 monochromatic keV levels, effective Z, and multiple material basis pairs. The data were analyzed with five multiparametric algorithms. After omitting 8 stones smaller than 5 mm, the remaining 24-stone dataset was similarly analyzed. Both stone datasets were also analyzed with a subset of 14 commonly used variables in the same fashion. RESULTS For the 32-stone dataset, the best method for distinguishing UA from non-UA stones was 97% accurate, and for distinguishing the non-UA subtypes was 72% accurate. For the 24-stone dataset, the best method for distinguishing UA from non-UA stones was 100% accurate, and for distinguishing the non-UA subtypes was 75% accurate. CONCLUSION Multiparametric ssDECT methods can distinguish UA from non-UA stones of 5 mm or larger with 100% accuracy. The best model to distinguish the non-UA renal stone subtypes was 75% accurate. Further refinement of this multiparametric approach may increase the diagnostic accuracy of separating non-UA subtypes and assist in the development of a clinical paradigm for in vivo use.
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[Modern imaging of renal tumors - application in diagnostics and therapy. Characterization, operation planning and therapy monitoring of renal lesions]. Radiologe 2016; 56:285-95; quiz 296. [PMID: 26961228 DOI: 10.1007/s00117-016-0087-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
This article elucidates the various tools used for the diagnostics and characterization of renal lesions. The advantages and limitations of ultrasound, contrast-enhanced ultrasound (CEUS), computed tomography (CT) and magnetic resonance imaging (MRI) are presented and discussed. In addition, modern imaging features of CT and MRI, such as iodine quantification in CT as well as diffusion-weighted and perfusion imaging in MRI are presented. Lastly, recent developments in standardized reporting of renal tumors regarding the intraoperative surgical risk are presented.
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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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Zhao W, Niu T, Xing L, Xie Y, Xiong G, Elmore K, Zhu J, Wang L, Min JK. Using edge-preserving algorithm with non-local mean for significantly improved image-domain material decomposition in dual-energy CT. Phys Med Biol 2016; 61:1332-51. [DOI: 10.1088/0031-9155/61/3/1332] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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21
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The Clinical Impact of Accurate Cystine Calculi Characterization Using Dual-Energy Computed Tomography. Case Rep Radiol 2015; 2015:801021. [PMID: 26688770 PMCID: PMC4673321 DOI: 10.1155/2015/801021] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2015] [Revised: 10/20/2015] [Accepted: 10/20/2015] [Indexed: 11/17/2022] Open
Abstract
Dual-energy computed tomography (DECT) has recently been suggested as the imaging modality of choice for kidney stones due to its ability to provide information on stone composition. Standard postprocessing of the dual-energy images accurately identifies uric acid stones, but not other types. Cystine stones can be identified from DECT images when analyzed with advanced postprocessing. This case report describes clinical implications of accurate diagnosis of cystine stones using DECT.
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Villa L, Giusti G, Knoll T, Traxer O. Imaging for Urinary Stones: Update in 2015. Eur Urol Focus 2015; 2:122-129. [PMID: 28723526 DOI: 10.1016/j.euf.2015.10.007] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2015] [Revised: 10/14/2015] [Accepted: 10/29/2015] [Indexed: 10/22/2022]
Abstract
CONTEXT Imaging is essential for the diagnosis and the clinical decision-making process of patients with urinary stones. OBJECTIVE To assess the benefits and limitations of various imaging techniques by specifically focusing on different phases of stone patients' management. EVIDENCE ACQUISITION PubMed and Web of Science databases were used to identify studies published in the last 10 yr on this argument. Search terms included 'urolithiasis', nephrolithiasis', or 'urinary stones' in combination (AND) with the terms 'imaging', 'computer tomography', 'ultrasonography', 'intravenous pyelogram', or 'radiation exposure'. Study selection was based on an independent peer-review process of all the authors after the structured data search. EVIDENCE SYNTHESIS Noncontrast-enhanced computer tomography (CT) provides the highest value of diagnostic accuracy for urinary stones. Stone composition can be specifically assessed through the use of dual-energy CT. When information about the anatomy of the renal collecting system is required or alternative pathologies are suspected, CT with contrast injection is recommended. Low-dose protocols allowed a drastic reduction of the effective dose administered to the patient, thus limiting the biological risk due to ionising radiations. Other strategies to contain the radiation exposure include the dual-split bolus dual energy CT and the adaptive statistical image reconstruction. Abdomen ultrasound may be a valid alternative as an initial approach since it does not change the outcome of patients compared with CT, and should be the imaging of choice in children and pregnant women. CONCLUSIONS Noncontrast-enhanced CT is the most accurate imaging technique to identify urinary stones. Abdomen ultrasound seems to be a valid alternative in the initial evaluation of urinary colic. New low-dose protocols and strategies have been developed to contain radiation exposure, which is a major issue especially in specific circumstances. PATIENT SUMMARY Noncontrast-enhanced computer tomography has been increasingly used for the diagnosis and management of urinary stones. Low-dose protocols as well as alternative imaging should be considered by clinicians in specific circumstances to minimise radiation exposure.
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Affiliation(s)
- Luca Villa
- Division of Experimental Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy.
| | - Guido Giusti
- Department of Urology, IRCCS Ospedale San Raffaele Ville Turro, Milan, Italy
| | - Thomas Knoll
- Department of Urology, Klinikum Sindelfingen-Boeblingen, University of Tuebingen, Sindelfingen, Germany
| | - Olivier Traxer
- Department of Urology, Tenon Hospital, Pierre et Marie Curie University, Paris, France
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Andrabi Y, Patino M, Das CJ, Eisner B, Sahani DV, Kambadakone A. Advances in CT imaging for urolithiasis. Indian J Urol 2015; 31:185-93. [PMID: 26166961 PMCID: PMC4495492 DOI: 10.4103/0970-1591.156924] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
Urolithiasis is a common disease with increasing prevalence worldwide and a lifetime-estimated recurrence risk of over 50%. Imaging plays a critical role in the initial diagnosis, follow-up and urological management of urinary tract stone disease. Unenhanced helical computed tomography (CT) is highly sensitive (>95%) and specific (>96%) in the diagnosis of urolithiasis and is the imaging investigation of choice for the initial assessment of patients with suspected urolithiasis. The emergence of multi-detector CT (MDCT) and technological innovations in CT such as dual-energy CT (DECT) has widened the scope of MDCT in the stone disease management from initial diagnosis to encompass treatment planning and monitoring of treatment success. DECT has been shown to enhance pre-treatment characterization of stone composition in comparison with conventional MDCT and is being increasingly used. Although CT-related radiation dose exposure remains a valid concern, the use of low-dose MDCT protocols and integration of newer iterative reconstruction algorithms into routine CT practice has resulted in a substantial decrease in ionizing radiation exposure. In this review article, our intent is to discuss the role of MDCT in the diagnosis and post-treatment evaluation of urolithiasis and review the impact of emerging CT technologies such as dual energy in clinical practice.
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Affiliation(s)
- Yasir Andrabi
- Department of Radiology, Division of Abdominal Imaging and Intervention Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Manuel Patino
- Department of Radiology, Division of Abdominal Imaging and Intervention Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Chandan J Das
- Department of Radiology, All India Institute of Medical Sciences, New Delhi, India
| | - Brian Eisner
- Department of Urology, Massachusetts General Hospital, Boston, MA, USA
| | - Dushyant V Sahani
- Department of Radiology, Division of Abdominal Imaging and Intervention Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Avinash Kambadakone
- Department of Radiology, Division of Abdominal Imaging and Intervention Radiology, Massachusetts General Hospital, Boston, MA, USA
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Sankineni S, Brown A, Cieciera M, Choyke PL, Turkbey B. Imaging of renal cell carcinoma. Urol Oncol 2015; 34:147-55. [PMID: 26094171 DOI: 10.1016/j.urolonc.2015.05.020] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2015] [Revised: 05/13/2015] [Accepted: 05/19/2015] [Indexed: 02/02/2023]
Abstract
Renal cell carcinoma (RCC) is the most common kidney cancer in adults. Early and accurate imaging plays an important role in the detection, staging, and follow-up of RCC. Patient care and case management revolves heavily around diagnostic imaging so it is imperative that appropriate and adequate imaging is acquired. There are well-established standard imaging protocols available to patients and their providers, although at the same time, there is also extensive ongoing research on improving the various modalities. Ultrasound has been the most commonly used imaging technique for renal imaging in general. However, computed tomography (CT) is the first choice for imaging of renal masses, and has been the mainstay for several decades. High resolution, reproducibility, reasonable preparation and acquisition time, and acceptable cost allow CT to remain as the primary choice for radiologic imaging. Magnetic resonance imaging (MRI) is considered as an important alternative in patients requiring further imaging or in cases of allergies, pregnancy, or surveillance. With increasing concern over radiation exposure, there has been a trend toward the higher use of MRI. It is important to understand the various imaging options available, as well as the current status of and results from recent RCC imaging studies. In this review we discuss these modalities, including the current state of ultrasound, CT, and MRI in RCC.
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Affiliation(s)
- Sandeep Sankineni
- Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Anna Brown
- Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Matthaeus Cieciera
- Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Peter L Choyke
- Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Baris Turkbey
- Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD.
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26
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Abstract
Although conceived of in the 1970s, practical use of dual-energy CT in the clinical setting did not come to fruition until 2006, and since that time an ever expanding exploration of the technology has been underway. This article will discuss technical aspects of the two commercially available CT scanners, review the recent literature, and provide an organ-based description of abdominal dual-energy CT applications for the practicing radiologist.
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Leng S, Yu L, Fletcher JG, McCollough CH. Maximizing Iodine Contrast-to-Noise Ratios in Abdominal CT Imaging through Use of Energy Domain Noise Reduction and Virtual Monoenergetic Dual-Energy CT. Radiology 2015; 276:562-70. [PMID: 25860839 DOI: 10.1148/radiol.2015140857] [Citation(s) in RCA: 92] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
PURPOSE To determine the iodine contrast-to-noise ratio (CNR) for abdominal computed tomography (CT) when using energy domain noise reduction and virtual monoenergetic dual-energy (DE) CT images and to compare the CNR to that attained with single-energy CT at 80, 100, 120, and 140 kV. MATERIALS AND METHODS This HIPAA-compliant study was approved by the institutional review board with waiver of informed consent. A syringe filled with diluted iodine contrast material was placed into 30-, 35-, and 45-cm-wide water phantoms and scanned with a dual-source CT scanner in both DE and single-energy modes with matched scanner output. Virtual monoenergetic images were generated, with energies ranging from 40 to 110 keV in 10-keV steps. A previously developed energy domain noise reduction algorithm was applied to reduce image noise by exploiting information redundancies in the energy domain. Image noise and iodine CNR were calculated. To show the potential clinical benefit of this technique, it was retrospectively applied to a clinical DE CT study of the liver in a 59-year-old male patient by using conventional and iterative reconstruction techniques. Image noise and CNR were compared for virtual monoenergetic images with and without energy domain noise reduction at each virtual monoenergetic energy (in kiloelectron volts) and phantom size by using a paired t test. CNR of virtual monoenergetic images was also compared with that of single-energy images acquired with 80, 100, 120, and 140 kV. RESULTS Noise reduction of up to 59% (28.7 of 65.7) was achieved for DE virtual monoenergetic images by using an energy domain noise reduction technique. For the commercial virtual monoenergetic images, the maximum iodine CNR was achieved at 70 keV and was 18.6, 16.6, and 10.8 for the 30-, 35-, and 45-cm phantoms. After energy domain noise reduction, maximum iodine CNR was achieved at 40 keV and increased to 30.6, 25.4, and 16.5. These CNRs represented improvement of up to 64% (12.0 of 18.6) with the energy domain noise reduction technique. For single-energy CT at the optimal tube potential, iodine CNR was 29.1 (80 kV), 21.2 (80 kV), and 11.5 (100 kV). For patient images, 39% (24 of 61) noise reduction and 67% (0.74 of 1.10) CNR improvement were observed with the energy domain noise reduction technique when compared with standard filtered back-projection images. CONCLUSION Iodine CNR for adult abdominal CT may be maximized with energy domain noise reduction and virtual monoenergetic DE CT.
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Affiliation(s)
- Shuai Leng
- From the Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905
| | - Lifeng Yu
- From the Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905
| | - Joel G Fletcher
- From the Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905
| | - Cynthia H McCollough
- From the Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905
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Alanee S, Dynda DI, Hemmer P, Schwartz B. Low enhancing papillary renal cell carcinoma diagnosed by using dual energy computerized tomography: a case report and review of literature. BMC Urol 2014; 14:102. [PMID: 25524502 PMCID: PMC4289588 DOI: 10.1186/1471-2490-14-102] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2014] [Accepted: 12/11/2014] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Papillary renal cell carcinoma (pRCC) is a mixed group of tumors that constitutes about 15-20% of all renal cortical cancers. Strong enhancement on computerized tomography (CT) is a feature of clear cell, but not of pRCC making the differentiation of papillary tumors from benign cysts a diagnostic problem in some cases. CASE PRESENTATION We report here a case of a female patient with pRCC that was initially diagnosed as a benign renal cyst. The patient is a 66 year old Caucasian female who initially presented with an ultrasound showing a 2.6 cm hypo-echoic lesion within the inferior pole of her left kidney. This was followed by a contrast enhanced computerized tomography that suggested the hypo-echoic lesion to be a hyper-attenuating benign renal cyst. Follow-up CT scan 4 months later demonstrated an increase in the size of the lesion to 3.2 cm with equivocal enhancement. A dual energy computerized tomography (DECT) showed the lesion to be a solid mass suspicious for renal cell carcinoma. A robotic partial nephrectomy revealed a papillary renal cell carcinoma with negative margins. CONCLUSION In this case report, we reviewed the literature on variations in enhancement of renal tumors and the possible role of dual energy contract enhanced CT in differentiating papillary tumors with low enhancement from benign kidney cystic lesions.
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Affiliation(s)
- Shaheen Alanee
- Southern Illinois University School of Medicine, Division of Urology, 301 N Eighth St - St John's Pavilion, PO Box 19665, 62794-9665 Springfield, IL, USA.
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Ibrahim ESH, Haley WE, Jepperson MA, Wehle MJ, Cernigliaro JG. Characterization of ureteral stents by dual-energy computed tomography: Clinical implications. World J Radiol 2014; 6:625-628. [PMID: 25170401 PMCID: PMC4147444 DOI: 10.4329/wjr.v6.i8.625] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2014] [Revised: 04/03/2014] [Accepted: 07/14/2014] [Indexed: 02/06/2023] Open
Abstract
Dual-energy computed-tomography (DECT) has been suggested as the method of choice for imaging urinary calculi due to the modality’s high sensitivity for detecting stones and its capability of accurately differentiating between uric-acid (UA) and non-UA (predominantly calcium) stones. The clinical significance of the latter feature relates to the differences in management of UA vs non-UA calculi. Like calculi, ureteral stents are assigned color by the dual-energy post-processing algorithm, which may lead to improved or worsened stone visualization based on the resulting stent/stone contrast. Herein we depict the case of a nephrolithiasis patient with bilateral stents, each with different color, clearly displaying the effect of stent color on stone visualization. Further, three-dimensional reconstruction of the DECT images illustrates advantages of this enhancement compared to conventional two-dimensional computed tomography. The resulting stent/stone contrast produces an unanticipated potential advantage of DECT in patients with urolithiasis and stents and may promote improved management decision-making.
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Abstract
Recent technologic advances in computed tomography (CT)--enabling the nearly simultaneous acquisition of clinical images using two different x-ray energy spectra--have sparked renewed interest in dual-energy CT. By interrogating the unique characteristics of different materials at different x-ray energies, dual-energy CT can be used to provide quantitative information about tissue composition, overcoming the limitations of attenuation-based conventional single-energy CT imaging. In the past few years, intensive research efforts have been devoted to exploiting the unique and powerful opportunities of dual-energy CT for a variety of clinical applications. This has led to CT protocol modifications for radiation dose reduction, improved diagnostic performance for detection and characterization of diseases, as well as image quality optimization. In this review, the authors discuss the basic principles, instrumentation and design, examples of current clinical applications in the abdomen and pelvis, and future opportunities of dual-energy CT.
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Affiliation(s)
- Daniele Marin
- From the Department of Radiology, Duke University Medical Center, Box 3808, Room 1531, Erwin Rd, Durham, NC 27710
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Grimm J, Wudy R, Ziegeler E, Wirth S, Uhl M, Reiser MF, Scherr M. Differentiation of heroin and cocaine using dual-energy CT—an experimental study. Int J Legal Med 2014; 128:475-82. [DOI: 10.1007/s00414-014-0980-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2013] [Accepted: 02/13/2014] [Indexed: 01/08/2023]
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Sanavi C, Werquin C, Fekir A, Pinson C, Bugel H, Dacher JN. Urinary stones: The contribution of dual energy CT and material decomposition. Diagn Interv Imaging 2013; 94:1165-8. [DOI: 10.1016/j.diii.2013.08.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Dual energy MDCT assessment of renal lesions: an overview. Eur Radiol 2013; 24:353-62. [DOI: 10.1007/s00330-013-3030-8] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2013] [Revised: 08/26/2013] [Accepted: 09/11/2013] [Indexed: 02/07/2023]
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Three-dimensional dual-energy computed tomography for enhancing stone/stent contrasting and stone visualization in urolithiasis. Case Rep Urol 2013; 2013:646087. [PMID: 23956922 PMCID: PMC3730140 DOI: 10.1155/2013/646087] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2013] [Accepted: 06/27/2013] [Indexed: 11/17/2022] Open
Abstract
The use of dual-energy computed tomography (DECT) for evaluating urinary calculi has been appreciated due to the modality's capability of differentiating between uric acid (UA) and non-UA stones, which are color coded based on a postprocessing algorithm. No other imaging modality or laboratory test is able to identify the stone composition without first attaining the stone material. Knowledge of the stone composition is clinically significant since UA calculi may be treated medically whereas non-UA calculi may require surgical removal. Regardless of the stone type, ureteral stents are often placed to prevent or treat obstruction. Recent work has demonstrated that commonly used stents are also colored based on their dual energy characteristics and may thereby either improve or obscure the identification of adjacent calculi. Herein, we report the case of a 65-year-old man who underwent percutaneous nephrolithotomy of a large staghorn stone with subsequent significant residual stone fragments noted on a follow-up scan. By using three-dimensional DECT and taking advantage of color contrasting, the stone composition, burden, shape, and boundary were clearly depicted apart from the adjacent stent, resulting in successful medical treatment and obviating the need for further surgical intervention.
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Fletcher JG, Kofler JM, Coburn JA, Bruining DH, McCollough CH. Perspective on radiation risk in CT imaging. ACTA ACUST UNITED AC 2013; 38:22-31. [PMID: 22836811 DOI: 10.1007/s00261-012-9933-z] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Awareness of and communication about issues related to radiation dose are beneficial for patients, clinicians, and radiology departments. Initiating and facilitating discussions of the net benefit of CT by enlisting comparisons to more familiar activities, or by conveying that the anticipated radiation dose to an exam is similar to or much less than annual background levels help resolve the concerns of many patients and providers. While radiation risk estimates at the low doses associated with CT contain considerable uncertainty, we choose to err on the side of safety by assuming a small risk exists, even though the risk at these dose levels may be zero. Thus, radiologists should individualize CT scans according to patient size and diagnostic task to ensure that maximum benefit and minimum risk is achieved. However, because the magnitude of net benefit is driven by the potential benefit of a positive exam, radiation dose should not be reduced if doing so may compromise making an accurate diagnosis. The benefits and risks of CT are also highly individualized, and require consideration of many factors by patients, clinicians, and radiologists. Radiologists can assist clinicians and patients with understanding many of these factors, including test performance, potential patient benefit, and estimates of potential risk.
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Affiliation(s)
- Joel G Fletcher
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA.
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Salvadori PS, Costa MC, Romano RFT, Galvão BVT, Monjardim RDF, Bretas EAS, Rios LT, Shigueoka DC, Caldana RP, D'Ippolito G. Quando a fase de equilíbrio pode ser suprimida nos exames de tomografia computadorizada de abdome? Radiol Bras 2013. [DOI: 10.1590/s0100-39842013000200008] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
OBJETIVO: Avaliar a necessidade de realização da fase de equilíbrio nos exames de tomografia computadorizada de abdome. MATERIAIS E MÉTODOS: Realizou-se estudo retrospectivo, transversal e observacional, avaliando 219 exames consecutivos de tomografia computadorizada de abdome com contraste intravenoso, realizados num período de três meses, com diversas indicações clínicas. Para cada exame foram emitidos dois pareceres, um avaliando o exame sem a fase de equilíbrio (primeira análise) e o outro avaliando todas as fases em conjunto (segunda análise). Ao final de cada avaliação, foi estabelecido se houve mudança nos diagnósticos principais e secundários, entre a primeira e a segunda análise. Foi utilizada a extensão do teste exato de Fisher para avaliar a modificação dos diagnósticos principais (p < 0,05 como significante). RESULTADOS: Entre os 219 casos avaliados, a supressão da fase de equilíbrio provocou alteração no diagnóstico principal em apenas um exame (0,46%; p > 0,999). Com relação aos diagnósticos secundários, cinco exames (2,3%) foram modificados. CONCLUSÃO: Para indicações clínicas como estadiamento tumoral, abdome agudo e pesquisa de coleção abdominal, a fase de equilíbrio não acrescenta contribuição diagnóstica expressiva, podendo ser suprimida dos protocolos de exame.
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Zhang LJ, Yang GF, Wu SY, Xu J, Lu GM, Schoepf UJ. Dual-energy CT imaging of thoracic malignancies. Cancer Imaging 2013; 13:81-91. [PMID: 23470989 PMCID: PMC3596838 DOI: 10.1102/1470-7330.2013.0009] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
Computed tomography (CT) plays a pivotal role in the detection, characterization, and staging of lung cancer and other thoracic malignancies. Since the introduction of clinically viable dual-energy CT techniques, substantial evidence has accumulated on the use of this modality for imaging chest malignancies. This article describes the principles of dual-energy CT along with suitable image acquisition, reconstruction, and postprocessing strategies for oncologic applications in the chest. The potential of dual-energy CT techniques for the detection, characterization, staging, and surveillance of chest malignancy, as well as the limitations of this modality are discussed.
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Affiliation(s)
- Long Jiang Zhang
- Department of Medical Imaging, Jinling Hospital, Clinical School of Medical College, Nanjing University, 305 Zhongshan East Road, Xuanwu District, Nanjing, Jiangsu Province, 210002, China
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Ascenti G, Mileto A, Gaeta M, Blandino A, Mazziotti S, Scribano E. Single-phase dual-energy CT urography in the evaluation of haematuria. Clin Radiol 2012; 68:e87-94. [PMID: 23219453 DOI: 10.1016/j.crad.2012.11.001] [Citation(s) in RCA: 46] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2012] [Revised: 10/31/2012] [Accepted: 11/09/2012] [Indexed: 11/26/2022]
Abstract
AIM To assess the value of a single-phase dual-energy computed tomography (DECT) urography protocol with synchronous nephrographic-excretory phase enhancement and to calculate the potential dose reduction by omitting the unenhanced scan. MATERIALS AND METHODS Eighty-four patients referred for haematuria underwent CT urography using a protocol that included single-energy unenhanced and dual-energy contrast-enhanced with synchronous nephrographic-excretory phase scans. DECT-based images [virtual unenhanced (VUE), weighted average, and colour-coded iodine overlay] were reconstructed. Opacification degree by contrast media of the upper urinary tract, and image quality of virtual unenhanced images were independently evaluated using a four-point scale. The diagnostic accuracy in detecting urothelial tumours on DECT-based images was determined. The dose of a theoretical dual-phase single-energy protocol was obtained by multiplying the effective dose of the unenhanced single-energy acquisition by two. Radiation dose saving by omitting the unenhanced scan was calculated. RESULTS The degree of opacification was scored as optimal or good in 86.9% of cases (k = 0.72); VUE image quality was excellent or good in 83.3% of cases (k = 0.82). Sensitivity, specificity, positive predictive value, and negative predictive value for urothelial tumours detection were 85.7, 98.6, 92.3, and 97.1%. Omission of the unenhanced scan led to a mean dose reduction of 42.7 ± 5%. CONCLUSION Single-phase DECT urography with synchronous nephrographic-excretory phase enhancement represents an accurate "all-in-one'' approach with a radiation dose saving up to 45% compared with a standard dual-phase protocol.
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Affiliation(s)
- G Ascenti
- Department of Radiological Sciences, Policlinico G. Martino, University of Messina, Messina, Italy
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De Cecco CN, Darnell A, Rengo M, Muscogiuri G, Bellini D, Ayuso C, Laghi A. Dual-Energy CT: Oncologic Applications. AJR Am J Roentgenol 2012; 199:S98-S105. [DOI: 10.2214/ajr.12.9207] [Citation(s) in RCA: 125] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/30/2023]
Affiliation(s)
- Carlo Nicola De Cecco
- Departments of Radiological Sciences, Oncology, and Pathology, University of Rome Sapienza–Polo Pontino, Via Franco Faggiana, 34, 04100 Latina, Italy
| | - Anna Darnell
- Department of Radiology, Hospital Clínic de Barcelona, University of Barcelona, Barcelona, Spain
| | - Marco Rengo
- Departments of Radiological Sciences, Oncology, and Pathology, University of Rome Sapienza–Polo Pontino, Via Franco Faggiana, 34, 04100 Latina, Italy
| | - Giuseppe Muscogiuri
- Departments of Radiological Sciences, Oncology, and Pathology, University of Rome Sapienza–Polo Pontino, Via Franco Faggiana, 34, 04100 Latina, Italy
| | - Davide Bellini
- Departments of Radiological Sciences, Oncology, and Pathology, University of Rome Sapienza–Polo Pontino, Via Franco Faggiana, 34, 04100 Latina, Italy
| | - Carmen Ayuso
- Department of Radiology, Hospital Clínic de Barcelona, University of Barcelona, Barcelona, Spain
| | - Andrea Laghi
- Departments of Radiological Sciences, Oncology, and Pathology, University of Rome Sapienza–Polo Pontino, Via Franco Faggiana, 34, 04100 Latina, Italy
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