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Gopireddy DR, Mahmoud H, Baig S, Le R, Bhosale P, Lall C. "Renal emergencies: a comprehensive pictorial review with MR imaging". Emerg Radiol 2020; 28:373-388. [PMID: 32974867 DOI: 10.1007/s10140-020-01852-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Accepted: 09/17/2020] [Indexed: 12/11/2022]
Abstract
Superior soft-tissue contrast and high sensitivity of magnetic resonance imaging (MRI) for detecting and characterizing disease may provide an expanded role in acute abdominal and pelvic imaging. Although MRI has traditionally not been exploited in acute care settings, commonly used in biliary obstruction and during pregnancy, there are several conditions in which MRI can go above and beyond other modalities in diagnosis, characterization, and providing functional and prognostic information. In this manuscript, we highlight how MRI can help in further assessment and characterization of acute renal emergencies. Currently, renal emergencies are predominantly evaluated with ultrasound (US) or computed tomography (CT) scanning. US may be limited by various patient factors and technologist experience while CT imaging with intravenous contrast administration can further compromise renal function. With the advent of rapid, robust non-contrast MRI, and magnetic resonance angiography (MRA) imaging studies with short scan times, free-breathing techniques, and lack of ionization radiation, the utility of MRI for renal evaluation might be superior to CT not only in diagnosing an emergent renal process but also by providing functional and prognostic information. This review outlines the clinical manifestations and the key imaging findings for acute renal processes including acute renal infarction, hemorrhage, and renal obstruction, among other entities, to highlight the added value of MRI in evaluating the finer nuances in acute renal emergencies.
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Affiliation(s)
- Dheeraj Reddy Gopireddy
- Department of Radiology, UF College of Medicine-Jacksonville, 2nd Floor, Clinical Center, 655 West 8th Street, C90, Jacksonville, FL, 33209, USA.
| | - Hagar Mahmoud
- Department of Diagnostic Radiology, the University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Saif Baig
- Imaging Informatics and Artificial Intelligence, University of Florida, College Medicine, Gainesville, FL, USA
| | - Rebecca Le
- Jacksonville Center for Clinical Research, University of Florida, Gainesville, FL, USA
| | - Priya Bhosale
- Department of Diagnostic Radiology, the University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Chandana Lall
- Department of Radiology, UF College of Medicine-Jacksonville, 2nd Floor, Clinical Center, 655 West 8th Street, C90, Jacksonville, FL, 33209, USA
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2
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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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Withey SJ, Verma H, Prezzi D. Multimodality Assessment of Cystic Renal Masses. Semin Ultrasound CT MR 2020; 41:334-343. [DOI: 10.1053/j.sult.2020.05.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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4
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Renzulli M, Brocchi S, Pettinari I, Biselli M, Clemente A, Corcioni B, Cappabianca S, Gaudiano C, Golfieri R. New MRI series for kidney evaluation: Saving time and money. Br J Radiol 2019; 92:20190260. [PMID: 31046410 DOI: 10.1259/bjr.20190260] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
OBJECTIVES This study investigates the diagnostic performance of a new T1 imaging series, generated by the digital subtraction of the opposed phase from in phase T 1 weighted images, in MRI for renal angiomyolipoma (AML) evaluation. METHODS This retrospective study involved 96 patients, 63 (65.6%) with at least one renal AML and 33 (34.4%) healthy patients. Two radiologists having different experience retrospectively reviewed two MR imaging series, starting with in and out-phase T 1 weighted images and then the new subtracted T1 images, in which AML appeared white on black background. The presence, number, location, and dimensions of the AMLs, and reading time were collected separately for the two kidneys. Statistical analysis was carried out using the appropriate tests. RESULTS The number of lesions identified and the evaluation of lesion dimension did not statistically differ between the different MR imaging series evaluated, without interobserver variability. Both percentage agreement of the total number of observations and the κ coefficient showed very good agreement between the radiologists. The median time for the diagnosis was statistically lower when using the subtracted T1 imaging series for both observers with a median gain from 6.5 to 15 s per identified lesion, resulting in a total time-saving of more than half (52.9%), in both patients with and without AMLs, and in patients with a single or with more than one AML (p < 0.001). CONCLUSIONS The new subtracted T1 imaging series proved to be reliable in identifying fat-containing renal lesions, by both expert and non-expert radiologists, resulting in a saving of both time and money. Moreover, this new subtracted T1 imaging series could be an effective tool in non-dedicated kidney examinations in which a faster reading is advisable. ADVANCES IN KNOWLEDGE The opportunity of using a single set of MRI images in kidney evaluation for identifying fat-containing lesions, considerably reducing reading time, resulting in cost-effectiveness.
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Affiliation(s)
- Matteo Renzulli
- 1 Department of Diagnostic Medicine and Prevention Radiology Unit, Sant'Orsola Hospital, University of Bologna, Via Albertoni , Bologna , Italy
| | - Stefano Brocchi
- 1 Department of Diagnostic Medicine and Prevention Radiology Unit, Sant'Orsola Hospital, University of Bologna, Via Albertoni , Bologna , Italy
| | - Irene Pettinari
- 1 Department of Diagnostic Medicine and Prevention Radiology Unit, Sant'Orsola Hospital, University of Bologna, Via Albertoni , Bologna , Italy
| | - Maurizio Biselli
- 2 Department of Medical and Surgical Sciences, Sant'Orsola Hospital, University of Bologna, Via Albertoni , Bologna , Italy
| | - Alfredo Clemente
- 3 Department of Precision Medicine Radiology and Radiotherapy Unit, University of Campania "L. Vanvitelli", Piazza Miraglia , Naples , Italy
| | - Beniamino Corcioni
- 1 Department of Diagnostic Medicine and Prevention Radiology Unit, Sant'Orsola Hospital, University of Bologna, Via Albertoni , Bologna , Italy
| | - Salvatore Cappabianca
- 3 Department of Precision Medicine Radiology and Radiotherapy Unit, University of Campania "L. Vanvitelli", Piazza Miraglia , Naples , Italy
| | - Caterina Gaudiano
- 1 Department of Diagnostic Medicine and Prevention Radiology Unit, Sant'Orsola Hospital, University of Bologna, Via Albertoni , Bologna , Italy
| | - Rita Golfieri
- 1 Department of Diagnostic Medicine and Prevention Radiology Unit, Sant'Orsola Hospital, University of Bologna, Via Albertoni , Bologna , Italy
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Abstract
Renal tumors encompass a heterogeneous disease spectrum, which confounds patient management and treatment. Percutaneous biopsy is limited by an inability to sample every part of the tumor. Radiomics may provide detail beyond what can be achieved from human interpretation. Understanding what new technologies offer will allow radiologists to play a greater role in caring for patients with renal cell carcinoma. In this article, we review the use of radiomics in renal cell carcinoma, in both the pretreatment assessment of renal masses and posttreatment evaluation of renal cell carcinoma, with special emphasis on the use of multiparametric MR imaging datasets.
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Schieda N, Davenport MS, Pedrosa I, Shinagare A, Chandarana H, Curci N, Doshi A, Israel G, Remer E, Wang J, Silverman SG. Renal and adrenal masses containing fat at MRI: Proposed nomenclature by the society of abdominal radiology disease-focused panel on renal cell carcinoma. J Magn Reson Imaging 2019; 49:917-926. [PMID: 30693607 DOI: 10.1002/jmri.26542] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2018] [Revised: 09/16/2018] [Accepted: 09/17/2018] [Indexed: 12/15/2022] Open
Abstract
This article proposes a consensus nomenclature for fat-containing renal and adrenal masses at MRI to reduce variability, improve understanding, and enhance communication when describing imaging findings. The MRI appearance of "macroscopic fat" occurs due to a sufficient number of aggregated adipocytes and results in one or more of: 1) intratumoral signal intensity (SI) loss using fat-suppression techniques, or 2) chemical shift artifact of the second kind causing linear or curvilinear India-ink (etching) artifact within or at the periphery of a mass at macroscopic fat-water interfaces. "Macroscopic fat" is most commonly observed in adrenal myelolipoma and renal angiomyolipoma (AML) and only rarely encountered in other adrenal cortical tumors and renal cell carcinomas (RCC). Nonlinear noncurvilinear signal intensity loss on opposed-phase (OP) compared with in-phase (IP) chemical shift MRI (CSI) may be referred to as "microscopic fat" and is due to: a) an insufficient amount of adipocytes, or b) the presence of fat within tumor cells. Determining whether the signal intensity loss observed on CSI is due to insufficient adipocytes or fat within tumor cells cannot be accomplished using CSI alone; however, it can be inferred when other imaging features strongly suggest a particular diagnosis. Fat-poor AML are homogeneously hypointense on T2 -weighted (T2 W) imaging and avidly enhancing; signal intensity loss at OP CSI is uncommon, but when present is usually focal and is caused by an insufficient number of adipocytes within adjacent voxels. Conversely, clear-cell RCC are heterogeneously hyperintense on T2 W imaging and avidly enhancing, with the signal intensity loss observed on OP CSI being typically diffuse and due to fat within tumor cells. Adrenal adenomas, adrenal cortical carcinoma, and adrenal metastases from fat-containing primary malignancies also show signal intensity loss on OP CSI due to fat within tumor cells and not from intratumoral adipocytes. Level of Evidence: 5 Technical Efficacy Stage: 3 J. Magn. Reson. Imaging 2019;49:917-926.
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Affiliation(s)
- Nicola Schieda
- Department of Medical Imaging, From the University of Ottawa, Ottawa Hospital, Ottawa, Ontario, Canada
| | | | - Ivan Pedrosa
- Department of Radiology, UT Southwestern, Dallas, Texas, USA
| | - Atul Shinagare
- Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Hersch Chandarana
- Department of Radiology, NYU School of Medicine, New York, New York, USA
| | - Nicole Curci
- Department of Radiology, Michigan University, Ann Arbor, Michigan, USA
| | - Ankur Doshi
- Department of Radiology, NYU School of Medicine, New York, New York, USA
| | - Gary Israel
- Department of Radiology, Yale University, New Haven, Connecticut, USA
| | - Erick Remer
- Department Radiology and Diagnostic Imaging, Cleveland Clinic, Cleveland, Ohio, USA
| | - Jane Wang
- Department of Radiology, UCSF, San Francisco, California, USA
| | - Stuart G Silverman
- Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA
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Abstract
Renal cell carcinoma (RCC) exhibits a diverse and heterogeneous disease spectrum, but insight into its molecular biology has provided an improved understanding of potential risk factors, oncologic behavior, and imaging features. Computed tomography (CT) and MR imaging may allow the identification and preoperative subtyping of RCC and assessment of a response to various therapies. Active surveillance is a viable management option in some patients and has provided further insight into the natural history of RCC, including the favorable prognosis of cystic neoplasms. This article reviews CT and MR imaging in RCC and the role of screening in selected high-risk populations.
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Affiliation(s)
- Alberto Diaz de Leon
- Department of Radiology, University of Texas Southwestern Medical Center, 2201 Inwood Road, 2nd Floor, Suite 202, Dallas, TX 75390-9085, USA
| | - Ivan Pedrosa
- Department of Radiology, University of Texas Southwestern Medical Center, 2201 Inwood Road, 2nd Floor, Suite 202, Dallas, TX 75390-9085, USA.
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8
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Mouli SK, McDevitt JL, Su YK, Ragin AB, Gao Y, Nemcek AA, Lewandowski RJ, Salem R, Sato KT. Analysis of the RENAL and mRENAL Scores and the Relative Importance of Their Components in the Prediction of Complications and Local Progression after Percutaneous Renal Cryoablation. J Vasc Interv Radiol 2017; 28:860-867. [DOI: 10.1016/j.jvir.2016.12.1224] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2016] [Revised: 12/25/2016] [Accepted: 12/26/2016] [Indexed: 01/20/2023] Open
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Fu W, Huang G, Moloo Z, Girgis S, Patel VH, Low G. Multimodality Imaging Characteristics of the Common Renal Cell Carcinoma Subtypes: An Analysis of 544 Pathologically Proven Tumors. J Clin Imaging Sci 2016; 6:50. [PMID: 28123840 PMCID: PMC5209859 DOI: 10.4103/2156-7514.197026] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2016] [Accepted: 11/21/2016] [Indexed: 12/18/2022] Open
Abstract
Objectives: The objective of this study was to define the characteristic imaging appearances of the common renal cell carcinoma (RCC) subtypes. Materials and Methods: The Institutional Review Board approval was obtained for this HIPAA-compliant retrospective study, and informed consent was waived. 520 patients (336 men, 184 women; age range, 22–88 years) underwent preoperative cross-sectional imaging of 544 RCCs from 2008 to 2013. The imaging appearances of the RCCs and clinical information were reviewed. Data analysis was performed using parametric and nonparametric statistics, descriptive statistics, and receiver operating characteristic analysis. Results: The RCC subtypes showed significant differences (P < 0.001) in several imaging parameters such as tumor margins, tumor consistency, tumor homogeneity, the presence of a central stellate scar, T2 signal intensity, and the degree of tumor enhancement. Low T2 signal intensity on magnetic resonance imaging (MRI) allowed differentiation of papillary RCC from clear cell and chromophobe RCCs with 90.9% sensitivity and 93.1% specificity. A tumor-to-cortex ratio ≥1 on the corticomedullary phase had 98% specificity for clear cell RCC. Conclusion: The T2 signal intensity of the tumor on MRI and its degree of enhancement are useful imaging parameters for discriminating between the RCC subtypes while gross morphological findings offer additional value in RCC profiling.
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Affiliation(s)
- Winnie Fu
- Department of Radiology and Diagnostic Imaging, University of Alberta Hospital, Edmonton, Alberta, Canada
| | - Guan Huang
- Department of Radiology and Diagnostic Imaging, University of Alberta Hospital, Edmonton, Alberta, Canada
| | - Zaahir Moloo
- Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Safwat Girgis
- Department of Pathology, University of Alberta Hospital, Edmonton, Alberta, Canada
| | - Vimal H Patel
- Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Gavin Low
- Department of Radiology and Diagnostic Imaging, University of Alberta Hospital, Edmonton, Alberta, Canada; Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
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Pinho DF, Lev-Cohain N, Awdeh H, Xi Y, Khatri G, Yokoo T, Pedrosa I. Optimization of breathing instructions and timing of late arterial phase acquisition on gadobutrol-enhanced MRI of the liver. Clin Imaging 2016; 40:1274-1279. [DOI: 10.1016/j.clinimag.2016.08.021] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2016] [Revised: 08/18/2016] [Accepted: 08/30/2016] [Indexed: 11/30/2022]
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11
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Abstract
Multiparametric MR imaging (mpMRI) combine different sequences that, properly tailored, can provide qualitative and quantitative information about the tumor microenvironment beyond traditional tumor size measures and/or morphologic assessments. This article focuses on mpMRI in the evaluation of urogenital tract malignancies by first reviewing technical aspects and then discussing its potential clinical role. This includes insight into histologic subtyping and grading of renal cell carcinoma and assessment of tumor response to targeted therapies. The clinical utility of mpMRI in the staging and grading of ureteral and bladder tumors is presented. Finally, the evolving role of mpMRI in prostate cancer is discussed.
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12
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Predictive Value of Chemical-Shift MRI in Distinguishing Clear Cell Renal Cell Carcinoma From Non-Clear Cell Renal Cell Carcinoma and Minimal-Fat Angiomyolipoma. AJR Am J Roentgenol 2015; 205:W79-86. [PMID: 26102422 DOI: 10.2214/ajr.14.13245] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
OBJECTIVE The purpose of this study was to evaluate the diagnostic performance of chemical-shift MRI in the differentiation of clear cell renal cell carcinoma (RCC) from minimal-fat angiomyolipoma (AML) and non-clear cell RCC. MATERIALS AND METHODS In this retrospective study, 97 patients with solid renal tumors without macroscopic fat and with a pathologic diagnosis of clear cell RCC (n = 40), non-clear cell RCC (n = 31), or minimal-fat AML (n = 26) who had undergone renal chemical-shift MRI were included. Size, location, morphology, and signal intensity (SI) of the tumors and the contralateral normal kidneys on T2-weighted and in-phase and opposed-phase images were recorded by readers blinded to the pathology. Percentage tumor-to-renal parenchymal SI drop (percentage SI drop) was calculated and correlated to tumor histology. The statistical analysis was done using Kruskal-Wallis, one-way ANOVA, chi-square, and Fisher exact tests. RESULTS The percentage SI drop was significantly higher in clear cell RCC compared with non-clear cell RCC and minimal-fat AML (p < 0.001). Percentage SI drop of greater than 20% had 57.5% sensitivity, 96.5% specificity, and 92% positive predictive value (PPV); and percentage SI drop greater than 29% had 40% sensitivity and 100% specificity for diagnosis of clear cell RCC within the cohort of clear cell RCC, minimal-fat AML, and non-clear cell RCC. A significant proportion of minimal-fat AML (46.2%) displayed homogeneous low T2-weighted SI as opposed to clear cell RCC (5%) and non-clear cell RCC (29%) (p < 0.001). CONCLUSION The percentage SI drop on chemical-shift MRI had high specificity and moderate sensitivity in predicting clear cell RCC over non-clear cell RCC and minimal-fat AML. A percentage SI drop greater than 20% in a renal mass without macroscopically visible fat has high PPV for clear cell RCC over minimal-fat AML and non-clear cell RCC. Among morphologic features, homogeneous low T2 SI favors minimal-fat AML over RCC.
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13
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Abstract
Renal cell carcinoma (RCC) is most commonly diagnosed as an incidental finding on cross-sectional imaging and represents a significant clinical challenge. Although most patients have a surgically curable lesion at the time of diagnosis, the variability in the biologic behavior of the different histologic subtypes and tumor grade of RCC, together with the increasing array of management options, creates uncertainty for the optimal clinical approach to individual patients. State-of-the-art magnetic resonance imaging (MRI) provides a comprehensive assessment of renal lesions that includes multiple forms of tissue contrast as well as functional parameters, which in turn provides information that helps to address this dilemma. In this article, we review this evolving and increasingly comprehensive role of MRI in the detection, characterization, perioperative evaluation, and assessment of the treatment response of renal neoplasms. We emphasize the ability of the imaging "phenotype" of renal masses on MRI to help predict the histologic subtype, grade, and clinical behavior of RCC.
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Affiliation(s)
- Naomi Campbell
- Department of Radiology, Center for Biomedical Imaging, NYU Langone Medical Center, New York, NY
| | - Andrew B. Rosenkrantz
- Department of Radiology, Center for Biomedical Imaging, NYU Langone Medical Center, New York, NY
| | - Ivan Pedrosa
- Department of Radiology, UT Southwestern Medical Center, Dallas, TX
- Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX
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Wu Y, Du L, Li F, Zhang H, Cai Y, Jia X. Renal oncocytoma: contrast-enhanced sonographic features. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2013; 32:441-448. [PMID: 23443184 DOI: 10.7863/jum.2013.32.3.441] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
OBJECTIVES The purpose of this study was to illustrate the features of renal oncocytoma on contrast-enhanced sonography. METHODS Five cases of surgical pathologically proven renal oncocytoma were retrospectively reviewed and analyzed in this study. The 5 patients studied included 3 men and 2 women with a mean age of 52.3 years (range, 32-66 years). All patients underwent conventional and contrast-enhanced sonographic examinations before surgery. The sonographic features, enhancement pattern, and dynamic perfusion change of the tumors and renal parenchyma in vascular phases were evaluated and compared to computed tomography. RESULTS On grayscale sonography, renal oncocytomas appeared as solitary hypoechoic or isoechoic masses originating from the renal cortex measuring 2 to 6 cm with a well-defined margin. Color Doppler flow imaging showed rich blood flow signals in the periphery and striplike blood flow signals within the masses. On contrast-enhanced sonography, the features of these tumors included early enhancement, hyperenhancement, and fast wash-out compared to the adjacent renal cortex. There were irregular nonenhanced areas seen in the center of the masses (n = 3) and nonenhanced thin rims seen in the periphery (n = 5). Macroscopically, the well-marginated tumors were yellowish brown with a tender texture and were located in the renal cortex. Central irregularly shaped fibrous scars were seen in 3 tumors, consistent with nonenhanced areas on contrast-enhanced imaging. CONCLUSIONS Contrast-enhanced sonography can provide valuable hemodynamic information on renal oncocytoma, which may help in making a differential diagnosis of this benign renal tumor in clinical practice.
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Affiliation(s)
- Ying Wu
- Department of Ultrasound, Shanghai First People's Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
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15
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Hindman N, Ngo L, Genega EM, Melamed J, Wei J, Braza JM, Rofsky NM, Pedrosa I. Angiomyolipoma with minimal fat: can it be differentiated from clear cell renal cell carcinoma by using standard MR techniques? Radiology 2012; 265:468-77. [PMID: 23012463 DOI: 10.1148/radiol.12112087] [Citation(s) in RCA: 178] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
PURPOSE To retrospectively assess whether magnetic resonance (MR) imaging with opposed-phase and in-phase gradient-echo (GRE) sequences and MR feature analysis can differentiate angiomyolipomas (AMLs) that contain minimal fat from clear cell renal cell carcinomas (RCCs), with particular emphasis on small (<3-cm) masses. MATERIALS AND METHODS Institutional review board approval and a waiver of informed consent were obtained for this HIPAA-compliant study. MR images from 108 pathologically proved renal masses (88 clear cell RCCs and 20 minimal fat AMLs from 64 men and 44 women) at two academic institutions were evaluated. The signal intensity (SI) of each renal mass and spleen on opposed-phase and in-phase GRE images was used to calculate an SI index and tumor-to-spleen SI ratio. Two radiologists who were blinded to the pathologic results independently assessed the subjective presence of intravoxel fat (ie, decreased SI on opposed-phase images compared with that on in-phase images), SI on T1-weighted and T2-weighted images, cystic degeneration, necrosis, hemorrhage, retroperitoneal collaterals, and renal vein thrombosis. Results were analyzed by using the Wilcoxon rank sum test, two-tailed Fisher exact test, and multivariate logistic regression analysis for all renal masses and for small masses. A P value of less than .05 was considered to indicate a statistically significant difference. RESULTS There were no differences between minimal fat AMLs and clear cell RCCs for the SI index (8.05%±14.46 vs 14.99%±19.9; P=.146) or tumor-to-spleen ratio (-8.96%±16.6 and -15.8%±22.4; P=.227) when all masses or small masses were analyzed. Diagnostic accuracy (area under receiver operating characteristic curve) for the SI index and tumor-to-spleen ratio was 0.59. Intratumoral necrosis and larger size were predictive of clear cell RCC (P<.001) for all lesions, whereas low SI (relative to renal parenchyma SI) on T2-weighted images, smaller size, and female sex correlated with minimal fat AML (P<.001) for all lesions. CONCLUSION The diagnostic accuracy of opposed-phase and in-phase GRE MR imaging for the differentiation of minimal fat AML and clear cell RCC is poor. In this cohort, low SI on T2-weighted images relative to renal parenchyma and small size suggested minimal fat AML, whereas intratumoral necrosis and large size argued against this diagnosis.
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Affiliation(s)
- Nicole Hindman
- Department of Radiology, New York University Langone Medical Center, New York, NY, USA
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16
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Pedrosa I, Rafatzand K, Robson P, Wagner AA, Atkins MB, Rofsky NM, Alsop DC. Arterial spin labeling MR imaging for characterisation of renal masses in patients with impaired renal function: initial experience. Eur Radiol 2011; 22:484-92. [PMID: 21877173 DOI: 10.1007/s00330-011-2250-z] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2011] [Revised: 08/05/2011] [Accepted: 08/09/2011] [Indexed: 11/25/2022]
Abstract
OBJECTIVES To retrospectively evaluate the feasibility of arterial spin labeling (ASL) magnetic resonance imaging (MRI) for the assessment of vascularity of renal masses in patients with impaired renal function. METHODS Between May 2007 and November 2008, 11/67 consecutive patients referred for MRI evaluation of a renal mass underwent unenhanced ASL-MRI due to moderate-to-severe chronic or acute renal failure. Mean blood flow in vascularised and non-vascularised lesions and the relation between blood flow and final diagnosis of malignancy were correlated with a 2-sided homogeneous variance t-test and the Fisher Exact Test, respectively. A p value <0.05 was considered statistically significant. RESULTS Seventeen renal lesions were evaluated in 11 patients (8 male; mean age = 70 years) (range 57-86). The median eGFR was 24 mL/min/1.73 m(2) (range 7-39). The average blood flow of 11 renal masses interpreted as ASL-positive (134 +/- 85.7 mL/100 g/min) was higher than that of 6 renal masses interpreted as ASL-negative (20.5 +/- 8.1 mL/100 g/min)(p = 0.015). ASL-positivity correlated with malignancy (n = 3) or epithelial atypia (n = 1) at histopathology or progression at follow up (n = 7). CONCLUSIONS ASL detection of vascularity in renal masses in patients with impaired renal function is feasible and seems to indicate neoplasia although the technique requires further evaluation. KEY POINTS Arterial spin labeling may help to characterise renal masses in patients with renal failure Detection of blood flow on ASL in a renal mass supports the presence of a neoplasm Renal masses with high blood-flow levels on ASL seem to progress rapidly.
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Affiliation(s)
- Ivan Pedrosa
- Department of Radiology, Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave, Boston, MA 02215, USA.
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Pallwein-Prettner L, Flöry D, Rotter CR, Pogner K, Syré G, Fellner C, Frauscher F, Aigner F, Krause FS, Fellner F. Assessment and characterisation of common renal masses with CT and MRI. Insights Imaging 2011; 2:543-556. [PMID: 22347975 PMCID: PMC3259318 DOI: 10.1007/s13244-011-0116-1] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2010] [Revised: 05/12/2011] [Accepted: 06/28/2011] [Indexed: 01/19/2023] Open
Abstract
Objective Owing to the widespread use of abdominal imaging studies the detection rate of solid renal masses has increased, and an accurate characterisation of imaging features of renal masses has become more essential for case management. Method and results MR imaging (MRI) and computed tomography (CT) are frequently used modalities for detection and differentiation of renal masses. This article gives a review of imaging characteristics of benign and malignant renal masses, discussing their appearance in CT and MR imaging. Advanced MR techniques like diffusion-weighted imaging and apparent diffusion coefficient (ADC) mapping, which have shown promising results in the differentiation between benign and malignant renal lesions, will be introduced. Conclusion MRI and CT are useful in the characterisation and estimation of the prognosis for renal masses.
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Affiliation(s)
- Leo Pallwein-Prettner
- Department of Radiology, General Hospital Linz, Krankenhausstrasse 9, 4020 Linz, Austria
| | - Daniel Flöry
- Department of Radiology, General Hospital Linz, Krankenhausstrasse 9, 4020 Linz, Austria
| | | | - Kurt Pogner
- Department of Urology, General Hospital Linz, Linz, Austria
| | - Gerhard Syré
- Department of Pathology, General Hospital Linz, Linz, Austria
| | - Claudia Fellner
- Institute of Radiology, University Medical Center Regensburg, Regensburg, Germany
| | | | - Friedrich Aigner
- Department of Radiology, Medical University Innsbruck, Innsbruck, Austria
| | | | - Franz Fellner
- Department of Radiology, General Hospital Linz, Krankenhausstrasse 9, 4020 Linz, Austria
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18
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Abstract
The increasing frequency of incidentally detected renal masses supports the need for accurate imaging characterization to avoid unnecessary surgery/interventional procedures. Furthermore, the need for accurate presurgical diagnosis of specific histologic subtypes of renal malignancies is increasingly important as advances in understanding of tumor biology direct targeted courses of therapy. Magnetic resonance imaging is uniquely suited for the evaluation of renal masses because of its ability to provide excellent soft-tissue contrast and demonstration of enhancement, as well as its multiplanar capabilities. Although the spectrum of masses that may occur in the kidneys is broad, specific imaging features may assist in their accurate diagnosis. Examples of the imaging appearance of common and uncommon renal masses are provided along with a protocol for comprehensive magnetic resonance examination of the kidneys.
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Affiliation(s)
- Maryellen R M Sun
- Department of Radiology, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA.
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19
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Robson PM, Madhuranthakam AJ, Dai W, Pedrosa I, Rofsky NM, Alsop DC. Strategies for reducing respiratory motion artifacts in renal perfusion imaging with arterial spin labeling. Magn Reson Med 2009; 61:1374-87. [PMID: 19319891 DOI: 10.1002/mrm.21960] [Citation(s) in RCA: 80] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
Arterial spin labeling (ASL) perfusion measurements may have many applications outside the brain. In the abdomen, severe image artifacts can arise from motions between acquisitions of multiple signal averages in ASL, even with single-shot image acquisition. Background suppression and respiratory motion synchronization techniques can be used to ameliorate these artifacts. Two separate in vivo studies of renal perfusion imaging using pulsed continuous ASL (pCASL) were performed. The first study assessed various combinations of background suppression and breathing strategies. The second investigated the retrospective sorting of images acquired during free breathing based on respiratory position. Quantitative assessments of the test-retest repeatability of perfusion measurements and the image quality scored by two radiologists were made. Image quality was most significantly improved by using background suppression schemes and controlled breathing when compared to other combinations without background suppression or with free breathing, assessed by test-retests (5% level, F-test), and by radiologists' scores (5% level, Mann-Whitney U-test). Under free breathing, retrospectively sorting images based on respiratory position showed significant improvement. Both radiologists found 100% of the images had preferable image sharpness after sorting. High-quality renal perfusion measurements with reduced respiratory motion artifacts have been demonstrated using ASL when appropriate background suppression and breathing strategies are applied.
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Affiliation(s)
- Philip M Robson
- Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Massachusetts 02215, USA.
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20
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Sun MRM, Ngo L, Genega EM, Atkins MB, Finn ME, Rofsky NM, Pedrosa I. Renal cell carcinoma: dynamic contrast-enhanced MR imaging for differentiation of tumor subtypes--correlation with pathologic findings. Radiology 2009; 250:793-802. [PMID: 19244046 DOI: 10.1148/radiol.2503080995] [Citation(s) in RCA: 234] [Impact Index Per Article: 15.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
PURPOSE To retrospectively evaluate whether the enhancement patterns of pathologically proved clear cell, papillary, and chromophobe renal cell carcinomas (RCCs) measured on clinical dynamic contrast agent-enhanced magnetic resonance (MR) images permit accurate diagnosis of RCC subtype. MATERIALS AND METHODS This study was Institutional Review Board approved and HIPAA compliant; informed consent was waived. One hundred twelve patients (76 men, 36 women; age range, 25-88 years; mean age, 58.1 years) underwent MR imaging of 113 renal masses (mean diameter, 5.4 cm) with pathologic diagnoses of clear cell (n = 75), papillary (n = 28), or chromophobe (n = 10) RCC. A 1.5-T clinical MR protocol was used before and after (corticomedullary and nephrographic phases) intravenous administration of contrast agent. Region-of-interest measurements within tumor and uninvolved renal cortex were used to calculate percentage signal intensity change and tumor-to-cortex enhancement index. Subtype groups were compared by using linear mixed-effects models. Receiver operating characteristic (ROC) curve analysis was performed for the comparison of clear cell and papillary RCCs. RESULTS On both the corticomedullary and nephrographic phase images, clear cell RCCs showed greater signal intensity change (205.6% and 247.1%, respectively) than did papillary RCCs (32.1% and 96.6%, respectively) (P < .001). Chromophobe RCCs showed intermediate change (109.9% and 192.5%, respectively). The tumor-to-cortex enhancement indexes at corticomedullary and nephrographic phases were largest for clear cell RCCs (1.4 and 1.2, respectively), smallest for papillary RCCs (0.2 and 0.4, respectively), and intermediate for chromophobe RCCs (0.6 and 0.8, respectively). Signal intensity changes on corticomedullary phase images were the most effective parameter for distinguishing clear cell and papillary RCC (area under ROC curve, 0.99); a threshold value of 84% permitted distinction with 93% sensitivity and 96% specificity. CONCLUSION Clear cell, papillary, and chromophobe RCCs demonstrate different patterns of enhancement on two-time point clinical dynamic contrast-enhanced MR images, allowing their differentiation with high sensitivity and specificity.
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Affiliation(s)
- Maryellen R M Sun
- Department of Radiology, Beth Israel Deaconess Medical Center, 330 Brookline Ave, Boston, MA 02215, USA
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21
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Pedrosa I, Sun MR, Spencer M, Genega EM, Olumi AF, Dewolf WC, Rofsky NM. MR imaging of renal masses: correlation with findings at surgery and pathologic analysis. Radiographics 2008; 28:985-1003. [PMID: 18635625 DOI: 10.1148/rg.284065018] [Citation(s) in RCA: 181] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Magnetic resonance (MR) imaging is useful in the characterization of renal masses. The MR imaging manifestations and pathologic diagnoses of 82 renal masses were reviewed and correlated. The MR imaging appearance of clear cell type renal cell carcinoma varies depending on the presence of cystic components, hemorrhage, and necrosis. Papillary renal cell carcinomas appear as well-encapsulated masses with homogeneous low signal intensity on T2-weighted images and homogeneous low-level enhancement after the intravenous administration of contrast material, or as cystic hemorrhagic masses with peripheral enhancing papillary projections. Transitional cell carcinoma may be seen as an irregular, enhancing filling defect in the pelvicaliceal system or ureter. Lymphomatous masses are usually hypointense relative to the renal cortex on T2-weighted images and enhance minimally on delayed gadolinium-enhanced images. Bulk fat is a distinguishing feature of angiomyolipoma. Oncocytoma has a variable and nonspecific appearance at MR imaging. MR imaging findings may allow the characterization of various renal masses and can provide valuable information for their clinical management.
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Affiliation(s)
- Ivan Pedrosa
- Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Ave, Boston, MA 02215, USA.
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22
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Pedrosa I, Chou MT, Ngo L, H Baroni R, Genega EM, Galaburda L, DeWolf WC, Rofsky NM. MR classification of renal masses with pathologic correlation. Eur Radiol 2007; 18:365-75. [PMID: 17899106 DOI: 10.1007/s00330-007-0757-0] [Citation(s) in RCA: 118] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2007] [Revised: 07/28/2007] [Accepted: 08/24/2007] [Indexed: 02/06/2023]
Abstract
To perform a feature analysis of malignant renal tumors evaluated with magnetic resonance (MR) imaging and to investigate the correlation between MR imaging features and histopathological findings. MR examinations in 79 malignant renal masses were retrospectively evaluated, and a feature analysis was performed. Each renal mass was assigned to one of eight categories from a proposed MRI classification system. The sensitivity and specificity of the MRI classification system to predict the histologic subtype and nuclear grade was calculated. Subvoxel fat on chemical shift imaging correlated to clear cell type (p < 0.05); sensitivity = 42%, specificity = 100%. Large size, intratumoral necrosis, retroperitoneal vascular collaterals, and renal vein thrombosis predicted high-grade clear cell type (p < 0.05). Small size, peripheral location, low intratumoral SI on T2-weighted images, and low-level enhancement were associated with low-grade papillary carcinomas (p < 0.05). The sensitivity and specificity of the MRI classification system for diagnosing low grade clear cell, high-grade clear cell, all clear cell, all papillary, and transitional carcinomas were 50% and 94%, 93% and 75%, 92% and 83%, 80% and 94%, and 100% and 99%, respectively. The MRI feature analysis and proposed classification system help predict the histological type and nuclear grade of renal masses.
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Affiliation(s)
- Ivan Pedrosa
- Department of Radiology, Beth Israel Deaconess Medical Center, 330 Brookline Avenue, Boston, MA 02118, USA.
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23
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Morales Ramos DA, Albuquerque PAB, Carpineta L, Faingold R. Magnetic Resonance Imaging of the Urinary Tract in the Fetal and Pediatric Population. Curr Probl Diagn Radiol 2007; 36:153-63. [PMID: 17601535 DOI: 10.1067/j.cpradiol.2007.02.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Magnetic resonance imaging (MRI) has become an excellent modality for the assessment of renal pathologies in children; its multiplanar capability and soft-tissue contrast resolution allows for exquisite demonstration of the renal anatomy and its abnormalities. In this article, we illustrate and discuss MRI techniques and findings of the most commonly seen renal anomalies, including congenital, inflammatory, neoplastic, posttransplant, and miscellaneous conditions.
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Affiliation(s)
- D Alicia Morales Ramos
- Department of Medical Imaging, Montreal Children's Hospital/McGill University Health Centre, Montreal, PQ, Canada
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24
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Michoux N, Vallée JP, Pechère-Bertschi A, Montet X, Buehler L, Van Beers BE. Analysis of contrast-enhanced MR images to assess renal function. MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE 2006; 19:167-79. [PMID: 16906431 DOI: 10.1007/s10334-006-0045-z] [Citation(s) in RCA: 39] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2006] [Revised: 07/10/2006] [Accepted: 07/10/2006] [Indexed: 11/25/2022]
Abstract
The image analysis and kinetic modeling methods used in dynamic contrast-enhanced magnetic resonance imaging of the kidney are reviewed. Image analysis includes various techniques of coregistration and segmentation. Few methods have been completely implemented. Nevertheless, the use of coregistration may become a standard to decrease the effect of motion on abdominal images and improve the quality of the renal signals. Kinetic models are classified into three categories: enhancement-based, external and internal representations. Enhancement-based representations are limited to a basic analysis of the tracer concentration curves in the kidneys. Their relationship to the underlying physiology is complex and undefined. However, they can be used to evaluate the split renal function. External representations assess the kidney input and output. An external representation based on the up-slope of the renal enhancement to calculate the renal perfusion is commonly used because of its simplicity. In contrast, external representation based on deconvolution or identification methods remain underexploited. For glomerular filtration, an internal representation based on a two-compartmental model is mostly used. Internal representations based on multi-compartmental models describe the renal function in a more realistic way. Because of their numerical complexity, these models remain rarely used.
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Affiliation(s)
- N Michoux
- Diagnostic Radiology Unit, Université Catholique de Louvain, St-Luc University Hospital, Avenue Hippocrate 10, 1200. Brussels, Belgium.
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25
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Lee YR, Lee KB. Reliability of magnetic resonance imaging for measuring the volumetric indices in autosomal-dominant polycystic kidney disease: correlation with hypertension and renal function. Nephron Clin Pract 2006; 103:c173-80. [PMID: 16636585 DOI: 10.1159/000092915] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2005] [Accepted: 12/30/2005] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND The purpose of this study was to determine if renal volumetric indices can be accurately measured using MRI, and if these volumetric indices are associated with hypertension and renal function in patients with autosomal-dominant polycystic kidney disease (ADPKD). METHODS For testing the accuracy of the MRI-based volume measurements that we proposed for clinical trial, we designed phantoms to simulate cysts within the kidney. Fifty-six patients with ADPKD were included in this study, and their respiratory compensated T2-weighted fast spin-echo images were acquired. The total kidney volume (Vt), cyst volume (Vc), and noncystic parenchymal volume (Vp) were measured and the percent cyst volume (Pc) was calculated. These volumetric indices were compared with the disease progression in the ADPKD patients. RESULTS The MRI measures of the phantoms were accurate. The Vt, Vc and Pc were significantly greater in the hypertensive group (n = 35) than in the normotensive group (n = 21) (p < 0.01). The Vt, Vc and Pc were significantly greater in the renal failure group (n = 23) than in the normal renal function group (n = 33) (p < 0.01). The Vt, Vc, and Pc were inversely correlated with the creatinine clearance. CONCLUSION MRI is a reliable method to measure renal volumetric indices. The MRI-based volume measurements can be employed as useful markers for the progression of disease in ADPKD patients.
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Affiliation(s)
- Young Rae Lee
- Department of Radiology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Jong-no ku, Seoul, Korea
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Israel GM, Hindman N, Hecht E, Krinsky G. The use of opposed-phase chemical shift MRI in the diagnosis of renal angiomyolipomas. AJR Am J Roentgenol 2005; 184:1868-72. [PMID: 15908544 DOI: 10.2214/ajr.184.6.01841868] [Citation(s) in RCA: 137] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
OBJECTIVE The objective of our study was to determine the reliability of the location of the india ink artifact and signal loss on opposed-phase chemical shift MRI to differentiate angiomyolipomas from solid renal masses and from hemorrhagic-proteinaceous renal cysts. MATERIALS AND METHODS Twenty-three angiomyolipomas, 24 hemorrhagic-proteinaceous cysts, and 23 solid renal masses (nonangiomyolipomas) were retrospectively evaluated at 1.5 T with chemical shift MRI using TEs of 2.1-2.7 msec (opposed phase) and 4.8-5.3 msec (in phase). Two independent observers reviewed the MR images for signal loss on opposed-phase images and for the presence or absence of india ink artifact. An angiomyolipoma was diagnosed if the india ink artifact was identified at the interface of the mass and the kidney or was present within the renal mass. RESULTS Twenty-three (100%) of the 23 angiomyolipomas showed india ink artifact within the mass or at its interface with the kidney, and 18 (78.3%) of the 23 angiomyolipomas showed signal loss on opposed-phase MR images. In 24 (100%) of the 24 hemorrhagic-proteinaceous cysts, india ink artifact was not present within the mass or at its interface with the kidney. No signal loss was seen in hemorrhagic-proteinaceous cysts on opposed-phase MR images. In one (4%) of the 23 solid (nonangiomyolipoma) renal masses, the india ink artifact was identified at the interface of the mass with the kidney, and in two (9%) of the 23 masses, loss of signal was identified on the opposed-phase MR images. CONCLUSION The presence of india artifact at a renal mass-kidney interface or within a renal mass is indicative of angiomyolipoma.
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Affiliation(s)
- Gary M Israel
- Department of Radiology, New York University Medical Center, 560 First Ave., HW202, New York, NY 10016, USA.
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28
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Abstract
High tissue contrast, multiplanar image capabilities, and tissue characterization render MR into an ideal imaging modality for effective evaluation of a wide range of renal disorders. It provides high details of anatomy and can suggest the composition of lesions. Improvements of MRI technology during the last years have made MRI increasingly attractive for body imaging. Fast imaging sequences and parallel imaging techniques have proved to be useful in minimizing artifacts from respiratory motion and magnetic susceptibility differences providing superior imaging quality. Additionally, the use of renally eliminated paramagnetic contrast agents permits assessment of parenchymal perfusion and visualization of the excretion of the contrast medium providing information on renal function.
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Affiliation(s)
- Nomdo S Renken
- Department of Radiology, Erasmus MC, Rotterdam, The Netherlands
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29
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Abstract
PURPOSE OF REVIEW Current magnetic resonance imaging systems allow the visualization of normal and diseased kidney, with exquisite resolution of renal structures. Dynamic contrast magnetic resonance imaging has the potential, unique among all noninvasive modalities, to differentiate diseases that affect different portions of the vascular-nephron system. This article reviews the most important recently published studies in selected topics chosen because of their clinical relevance or potential for technical developments. RECENT FINDINGS Magnetic resonance imaging is used increasingly to evaluate renal masses, the prenatal genitourinary system, urinary obstruction and infection, renal vasculature, and the kidneys of transplant donors and recipients. Dynamic contrast magnetic resonance renography based on gadolinium chelated to diethylenetriamine pentaacetic acid, a safe (non-nephrotoxic) paramagnetic agent, emerges as the functional renal imaging modality of choice. Both perfusion and filtration rates can be assessed in individual kidney. SUMMARY Magnetic resonance imaging has the potential to provide a complete anatomic, physiologic, kidney-specific evaluation. With future advances in automated image analysis methods we can expect functional renal magnetic resonance imaging to play an influential role in management of renal disease.
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Affiliation(s)
- Henry Rusinek
- Department of Radiology, New York University Medical Center, Bellevue C&D building room D120, 550 First Avenue, New York, NY 10016, USA.
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