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Li C, Qi L, Geng C, Xiao H, Wei X, Zhang T, Zhang Z, Wei X. Comparative Diagnostic Performance of Color Doppler Flow Imaging, MicroFlow Imaging and Contrast-enhanced Ultrasound in Solid Renal Tumors. Acad Radiol 2025:S1076-6332(24)01044-4. [PMID: 39826999 DOI: 10.1016/j.acra.2024.12.057] [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: 10/26/2024] [Revised: 12/16/2024] [Accepted: 12/26/2024] [Indexed: 01/22/2025]
Abstract
RATIONALE AND OBJECTIVES Accurate distinguish malignant from benign renal masses remains a challenge for radiologists. The purpose of this study was to evaluate the value of Color Doppler Flow Imaging (CDFI), MicroFlow Imaging (MFI) and Contrast-enhanced Ultrasound (CEUS) in diagnosing solid renal tumors. MATERIALS AND METHODS A total of 291 patients with 300 solid renal tumors pathologically confirmed were retrospectively analyzed between January 2020 and December 2022. Each patient underwent CDFI, MFI, and CEUS examinations before surgery. The diagnostic efficacy of CDFI, MFI and CEUS in assessing renal tumors was compared based on blood flow grade, vascular morphology and CEUS characteristics. RESULTS MFI identified 243 renal lesions (81%) with blood flow grade (2, 3) and vascular morphology (IV, V), significantly outperforming CDFI, which detected 147 cases (49%). MFI demonstrated statistically significant differences in detecting blood flow signals and predicting renal malignancy compared to CDFI (p < 0.001). In CEUS examination, significant differences were observed in wash-in, enhancement intensity, wash-out, and perilesional rim-like enhancement of the contrast agent between malignant and benign renal lesions (all p < 0.001). The areas under the receiver operating characteristic curves (AUCs) for MFI and CEUS were 0.838 and 0.788, respectively, both higher than that for CDFI (0.695). In diagnosing solid renal tumors, MFI and CEUS showed significant differences compared to CDFI (p < 0.05), although no significant difference was found between MFI and CEUS (p = 0.075). The diagnostic accuracy, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of CDFI, MFI and CEUS were as follows: 0.600 vs.0.893 vs.0.920; 0.554 vs. 0.920 vs.0.984; 0.837 vs. 0.755 vs.0.592; 0.946 vs. 0.951 vs.0.925; 0.268 vs. 0.649 vs.0.879. CONCLUSION MFI demonstrates higher sensitivity in detecting microvascular signs of renal tumors compared to CDFI. Moreover, MFI exhibits comparable diagnostic performance to CEUS in distinguishing malignant from benign renal masses.
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Affiliation(s)
- Chunxiang Li
- Department of Diagnostic and Therapeutic Ultrasonography, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China (C.L., X.W., T.Z., X.W.); National Clinical Research Center for Cancer, Tianjin, China (C.L., L.Q., C.G., H.X., X.W., T.Z., Z.Z., X.W.); Key laboratory of Cancer Prevention and Therapy, Tianjin, China (C.L., L.Q., C.G., H.X., X.W., T.Z., Z.Z., X.W.); Tianjin's Clinical Research Center for Cancer, Tianjin, China (C.L., L.Q., C.G., H.X., X.W., T.Z., Z.Z., X.W.)
| | - Lisha Qi
- Department of Pathology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China (L.Q., C.G.); National Clinical Research Center for Cancer, Tianjin, China (C.L., L.Q., C.G., H.X., X.W., T.Z., Z.Z., X.W.); Key laboratory of Cancer Prevention and Therapy, Tianjin, China (C.L., L.Q., C.G., H.X., X.W., T.Z., Z.Z., X.W.); Tianjin's Clinical Research Center for Cancer, Tianjin, China (C.L., L.Q., C.G., H.X., X.W., T.Z., Z.Z., X.W.)
| | - Changyu Geng
- Department of Pathology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China (L.Q., C.G.); National Clinical Research Center for Cancer, Tianjin, China (C.L., L.Q., C.G., H.X., X.W., T.Z., Z.Z., X.W.); Key laboratory of Cancer Prevention and Therapy, Tianjin, China (C.L., L.Q., C.G., H.X., X.W., T.Z., Z.Z., X.W.); Tianjin's Clinical Research Center for Cancer, Tianjin, China (C.L., L.Q., C.G., H.X., X.W., T.Z., Z.Z., X.W.)
| | - Huiting Xiao
- National Clinical Research Center for Cancer, Tianjin, China (C.L., L.Q., C.G., H.X., X.W., T.Z., Z.Z., X.W.); Key laboratory of Cancer Prevention and Therapy, Tianjin, China (C.L., L.Q., C.G., H.X., X.W., T.Z., Z.Z., X.W.); Tianjin's Clinical Research Center for Cancer, Tianjin, China (C.L., L.Q., C.G., H.X., X.W., T.Z., Z.Z., X.W.); Department of Gynecologic Oncology,Tianjin Medical University Cancer Institute and Hospital, Tianjin, China (H.X.)
| | - Xueqing Wei
- Department of Diagnostic and Therapeutic Ultrasonography, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China (C.L., X.W., T.Z., X.W.); National Clinical Research Center for Cancer, Tianjin, China (C.L., L.Q., C.G., H.X., X.W., T.Z., Z.Z., X.W.); Key laboratory of Cancer Prevention and Therapy, Tianjin, China (C.L., L.Q., C.G., H.X., X.W., T.Z., Z.Z., X.W.); Tianjin's Clinical Research Center for Cancer, Tianjin, China (C.L., L.Q., C.G., H.X., X.W., T.Z., Z.Z., X.W.)
| | - Tan Zhang
- Department of Diagnostic and Therapeutic Ultrasonography, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China (C.L., X.W., T.Z., X.W.); National Clinical Research Center for Cancer, Tianjin, China (C.L., L.Q., C.G., H.X., X.W., T.Z., Z.Z., X.W.); Key laboratory of Cancer Prevention and Therapy, Tianjin, China (C.L., L.Q., C.G., H.X., X.W., T.Z., Z.Z., X.W.); Tianjin's Clinical Research Center for Cancer, Tianjin, China (C.L., L.Q., C.G., H.X., X.W., T.Z., Z.Z., X.W.)
| | - Zhenting Zhang
- National Clinical Research Center for Cancer, Tianjin, China (C.L., L.Q., C.G., H.X., X.W., T.Z., Z.Z., X.W.); Key laboratory of Cancer Prevention and Therapy, Tianjin, China (C.L., L.Q., C.G., H.X., X.W., T.Z., Z.Z., X.W.); Tianjin's Clinical Research Center for Cancer, Tianjin, China (C.L., L.Q., C.G., H.X., X.W., T.Z., Z.Z., X.W.); Department of Urologic Oncology,Tianjin Medical University Cancer Institute and Hospital, Tianjin, China (Z.Z.)
| | - Xi Wei
- Department of Diagnostic and Therapeutic Ultrasonography, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China (C.L., X.W., T.Z., X.W.); National Clinical Research Center for Cancer, Tianjin, China (C.L., L.Q., C.G., H.X., X.W., T.Z., Z.Z., X.W.); Key laboratory of Cancer Prevention and Therapy, Tianjin, China (C.L., L.Q., C.G., H.X., X.W., T.Z., Z.Z., X.W.); Tianjin's Clinical Research Center for Cancer, Tianjin, China (C.L., L.Q., C.G., H.X., X.W., T.Z., Z.Z., X.W.).
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Sathiadoss P, Bhayana R, Shaikh ZA, Krishna S. Insights into Radiology Publications. Indian J Radiol Imaging 2025; 35:S18-S29. [PMID: 39802728 PMCID: PMC11717458 DOI: 10.1055/s-0044-1793914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2025] Open
Abstract
The evolution of modern medicine has been significantly driven by medical and health care research, underscoring the importance of disseminating findings to advance health care. Medical literature, encompassing various publication types such as case reports, review articles, and original research, plays a crucial role in this process by facilitating the communication and discussion of new discoveries. This review article provides a comprehensive guide to understanding and navigating radiologic publications. It examines the various types of radiologic research articles, including case reports and series, pictorial reviews, original research, systematic reviews, and meta-analyses, each of which serve distinct purposes in contributing to the field of radiology. The study adopts the "six honest men" approach-addressing why, who, what, when, where, and how-to elucidate the essential elements of successful radiology research and publication. Key topics include the motivations for publishing, the types of articles suited for different research questions, and strategic considerations for selecting appropriate journals. Additionally, the review highlights the importance of understanding publication timing, journal selection criteria, and the overall publication process, including manuscript preparation and peer review. By offering these insights, the review aims to equip early-career researchers with the knowledge and skills necessary to effectively contribute to radiology literature and advance their academic and professional careers.
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Affiliation(s)
- Paul Sathiadoss
- Department of Medical Imaging, London Health Sciences Centre, University of Western Ontario, London, Ontario, Canada
| | - Rajesh Bhayana
- Department of Medical Imaging, University of Toronto, University Medical Imaging Toronto, University Health Network, Sinai Health System, Women's College Hospital, Toronto, Canada
| | - Zara A. Shaikh
- Faculty of Science, University of British Columbia, Vancouver, Canada
| | - Satheesh Krishna
- Department of Medical Imaging, University of Toronto, University Medical Imaging Toronto, University Health Network, Sinai Health System, Women's College Hospital, Toronto, Canada
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Woon D, Qin S, Al-Khanaty A, Perera M, Lawrentschuk N. Imaging in Renal Cell Carcinoma Detection. Diagnostics (Basel) 2024; 14:2105. [PMID: 39335784 PMCID: PMC11431198 DOI: 10.3390/diagnostics14182105] [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: 07/23/2024] [Revised: 09/09/2024] [Accepted: 09/13/2024] [Indexed: 09/30/2024] Open
Abstract
INTRODUCTION Imaging in renal cell carcinoma (RCC) is a constantly evolving landscape. The incidence of RCC has been rising over the years with the improvement in image quality and sensitivity in imaging modalities resulting in "incidentalomas" being detected. We aim to explore the latest advances in imaging for RCC. METHODS A literature search was conducted using Medline and Google Scholar, up to May 2024. For each subsection of the manuscript, a separate search was performed using a combination of the following key terms "renal cell carcinoma", "renal mass", "ultrasound", "computed tomography", "magnetic resonance imaging", "18F-Fluorodeoxyglucose PET/CT", "prostate-specific membrane antigen PET/CT", "technetium-99m sestamibi SPECT/CT", "carbonic anhydrase IX", "girentuximab", and "radiomics". Studies that were not in English were excluded. The reference lists of selected manuscripts were checked manually for eligible articles. RESULTS The main imaging modalities for RCC currently are ultrasound, computed tomography (CT) and magnetic resonance imaging (MRI). Contrast-enhanced US (CEUS) has emerged as an alternative to CT or MRI for the characterisation of renal masses. Furthermore, there has been significant research in molecular imaging in recent years, including FDG PET, PSMA PET/CT, 99mTc-Sestamibi, and anti-carbonic anhydrase IX monoclonal antibodies/peptides. Radiomics and the use of AI in radiology is a growing area of interest. CONCLUSIONS There will be significant change in the field of imaging in RCC as molecular imaging becomes increasingly popular, which reflects a shift in management to a more conservative approach, especially for small renal masses (SRMs). There is the hope that the improvement in imaging will result in less unnecessary invasive surgeries or biopsies being performed for benign or indolent renal lesions.
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Affiliation(s)
- Dixon Woon
- Department of Urology, Austin Health, Heidelberg, VIC 3084, Australia
- Department of Surgery, The University of Melbourne, Melbourne, VIC 3010, Australia
| | - Shane Qin
- Department of Urology, Austin Health, Heidelberg, VIC 3084, Australia
| | | | - Marlon Perera
- Department of Urology, Austin Health, Heidelberg, VIC 3084, Australia
- Division of Cancer Surgery, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia
| | - Nathan Lawrentschuk
- Department of Surgery, The University of Melbourne, Melbourne, VIC 3010, Australia
- Division of Cancer Surgery, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia
- Department of Urology, Royal Melbourne Hospital, Parkville, VIC 3052, Australia
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Alrumayyan M, Raveendran L, Lawson KA, Finelli A. Cystic Renal Masses: Old and New Paradigms. Urol Clin North Am 2023; 50:227-238. [PMID: 36948669 DOI: 10.1016/j.ucl.2023.01.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/22/2023]
Abstract
Cystic renal masses describe a spectrum of lesions with benign and/or malignant features. Cystic renal masses are most often identified incidentally with the Bosniak classification system stratifying their malignant potential. Solid enhancing components most often represent clear cell renal cell carcinoma yet display an indolent natural history relative to pure solid renal masses. This has led to an increased adoption of active surveillance as a management strategy in those who are poor surgical candidates. This article provides a contemporary overview of historical and emerging clinical paradigms in the diagnosis and management of this distinct clinical entity.
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Affiliation(s)
- Majed Alrumayyan
- Division of Urology, Department of Surgery, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Lucshman Raveendran
- Division of Urology, Department of Surgery, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Keith A Lawson
- Division of Urology, Department of Surgery, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Antonio Finelli
- Division of Urology, Department of Surgery, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
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Cao J, Lennartz S, Pisuchpen N, Mroueh N, Kongboonvijit S, Parakh A, Sahani DV, Kambadakone A. Renal Lesion Characterization by Dual-Layer Dual-Energy CT: Comparison of Virtual and True Unenhanced Images. AJR Am J Roentgenol 2022; 219:614-623. [PMID: 35441533 DOI: 10.2214/ajr.21.27272] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
BACKGROUND. Prior studies have provided mixed results for the ability to replace true unenhanced (TUE) images with virtual unenhanced (VUE) images when characterizing renal lesions by dual-energy CT (DECT). Detector-based dual-layer DECT (dlDECT) systems may optimize performance of VUE images for this purpose. OBJECTIVE. The purpose of this article was to compare dual-phase dlDECT examinations evaluated using VUE and TUE images in differentiating cystic and solid renal masses. METHODS. This retrospective study included 110 patients (mean age, 64.3 ± 11.8 years; 46 women, 64 men) who underwent renal-mass protocol dlDECT between July 2018 and February 2022. TUE, VUE, and nephrographic phase image sets were reconstructed. Lesions were diagnosed as solid masses by histopathology or MRI. Lesions were diagnosed as cysts by composite criteria reflecting findings from MRI, ultrasound, and the TUE and nephrographic phase images of the dlDECT examinations. One radiologist measured lesions' attenuation on all dlDECT image sets. Lesion characterization was compared between use of VUE and TUE images, including when considering enhancement of 20 HU or greater to indicate presence of a solid mass. RESULTS. The analysis included 219 lesions (33 solid masses; 186 cysts [132 simple, 20 septate, 34 hyperattenuating]). TUE and VUE attenuation were significantly different for solid masses (33.4 ± 7.1 HU vs 35.4 ± 8.6 HU, p = .002), simple cysts (10.8 ± 5.6 HU vs 7.1 ± 8.1 HU, p < .001), and hyperattenuating cysts (56.3 ± 21.0 HU vs 47.6 ± 16.3 HU, p < .001), but not septate cysts (13.6 ± 8.1 HU vs 14.0 ± 6.8 HU, p = .79). Frequency of enhancement 20 HU or greater when using TUE and VUE images was 90.9% and 90.9% in solid masses, 0.0% and 9.1% in simple cysts, 15.0% and 10.0% in septate cysts, and 11.8% and 38.2% in hyperattenuating cysts. All solid lesions were concordant in terms of enhancement 20 HU or greater when using TUE and VUE images. Twelve simple cysts and nine hyperattenuating cysts showed enhancement of 20 HU or greater when using VUE but not TUE images. CONCLUSION. Use of VUE images reliably detected enhancement in solid masses. However, VUE images underestimated attenuation of simple and hyperattenuating cysts, leading to false-positive findings of enhancement by such lesions. CLINICAL IMPACT. The findings do not support replacement of TUE acquisitions with VUE images when characterizing renal lesions by dlDECT.
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Affiliation(s)
- Jinjin Cao
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, White 270, Boston, MA 02114-2696
| | - Simon Lennartz
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, White 270, Boston, MA 02114-2696
- Institute for Diagnostic and Interventional Radiology, University Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Nisanard Pisuchpen
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, White 270, Boston, MA 02114-2696
- Department of Radiology, King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Nayla Mroueh
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, White 270, Boston, MA 02114-2696
| | - Sasiprang Kongboonvijit
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, White 270, Boston, MA 02114-2696
- Department of Radiology, King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Anushri Parakh
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, White 270, Boston, MA 02114-2696
| | | | - Avinash Kambadakone
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, White 270, Boston, MA 02114-2696
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Direct Comparison of Diagnostic Accuracy of Fast Kilovoltage Switching Dual-Energy Computed Tomography and Magnetic Resonance Imaging for Detection of Enhancement in Renal Masses. J Comput Assist Tomogr 2022; 46:862-870. [DOI: 10.1097/rct.0000000000001361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Bosniak Classification Version 2019: A CT-Based Update for Radiologists. CURRENT RADIOLOGY REPORTS 2022. [DOI: 10.1007/s40134-022-00397-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Lyske J, Mathew RP, Hutchinson C, Patel V, Low G. Multimodality imaging review of focal renal lesions. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2021. [DOI: 10.1186/s43055-020-00391-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Focal lesions of the kidney comprise a spectrum of entities that can be broadly classified as malignant tumors, benign tumors, and non-neoplastic lesions. Malignant tumors include renal cell carcinoma subtypes, urothelial carcinoma, lymphoma, post-transplant lymphoproliferative disease, metastases to the kidney, and rare malignant lesions. Benign tumors include angiomyolipoma (fat-rich and fat-poor) and oncocytoma. Non-neoplastic lesions include infective, inflammatory, and vascular entities. Anatomical variants can also mimic focal masses.
Main body of the abstract
A range of imaging modalities are available to facilitate characterization; ultrasound (US), contrast-enhanced ultrasound (CEUS), computed tomography (CT), magnetic resonance (MR) imaging, and positron emission tomography (PET), each with their own strengths and limitations. Renal lesions are being detected with increasing frequency due to escalating imaging volumes. Accurate diagnosis is central to guiding clinical management and determining prognosis. Certain lesions require intervention, whereas others may be managed conservatively or deemed clinically insignificant. Challenging cases often benefit from a multimodality imaging approach combining the morphology, enhancement and metabolic features.
Short conclusion
Knowledge of the relevant clinical details and key imaging features is crucial for accurate characterization and differentiation of renal lesions.
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Tsili AC, Andriotis E, Gkeli MG, Krokidis M, Stasinopoulou M, Varkarakis IM, Moulopoulos LA. The role of imaging in the management of renal masses. Eur J Radiol 2021; 141:109777. [PMID: 34020173 DOI: 10.1016/j.ejrad.2021.109777] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 05/09/2021] [Accepted: 05/14/2021] [Indexed: 12/26/2022]
Abstract
The wide availability of cross-sectional imaging is responsible for the increased detection of small, usually asymptomatic renal masses. More than 50 % of renal cell carcinomas (RCCs) represent incidental findings on noninvasive imaging. Multimodality imaging, including conventional US, contrast-enhanced US (CEUS), CT and multiparametric MRI (mpMRI) is pivotal in diagnosing and characterizing a renal mass, but also provides information regarding its prognosis, therapeutic management, and follow-up. In this review, imaging data for renal masses that urologists need for accurate treatment planning will be discussed. The role of US, CEUS, CT and mpMRI in the detection and characterization of renal masses, RCC staging and follow-up of surgically treated or untreated localized RCC will be presented. The role of percutaneous image-guided ablation in the management of RCC will be also reviewed.
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Affiliation(s)
- Athina C Tsili
- Department of Clinical Radiology, School of Health Sciences, Faculty of Medicine, University of Ioannina, 45110, Ioannina, Greece.
| | - Efthimios Andriotis
- Department of Newer Imaging Methods of Tomography, General Anti-Cancer Hospital Agios Savvas, 11522, Athens, Greece.
| | - Myrsini G Gkeli
- 1st Department of Radiology, General Anti-Cancer Hospital Agios Savvas, 11522, Athens, Greece.
| | - Miltiadis Krokidis
- 1st Department of Radiology, School of Medicine, National and Kapodistrian University of Athens, Areteion Hospital, 11528, Athens, Greece; Department of Diagnostic, Interventional and Pediatric Radiology, Inselspital Bern University Hospital, University of Bern, 3010, Bern, Switzerland.
| | - Myrsini Stasinopoulou
- Department of Newer Imaging Methods of Tomography, General Anti-Cancer Hospital Agios Savvas, 11522, Athens, Greece.
| | - Ioannis M Varkarakis
- 2nd Department of Urology, National and Kapodistrian University of Athens, Sismanoglio Hospital, 15126, Athens, Greece.
| | - Lia-Angela Moulopoulos
- 1st Department of Radiology, School of Medicine, National and Kapodistrian University of Athens, Areteion Hospital, 11528, Athens, Greece.
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Schieda N, Davenport MS, Krishna S, Edney EA, Pedrosa I, Hindman N, Baroni RH, Curci NE, Shinagare A, Silverman SG. Bosniak Classification of Cystic Renal Masses, Version 2019: A Pictorial Guide to Clinical Use. Radiographics 2021; 41:814-828. [PMID: 33861647 DOI: 10.1148/rg.2021200160] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Cystic renal masses are commonly encountered in clinical practice. In 2019, the Bosniak classification of cystic renal masses, originally developed for CT, underwent a major revision to incorporate MRI and is referred to as the Bosniak Classification, version 2019. The proposed changes attempt to (a) define renal masses (ie, cystic tumors with less than 25% enhancing tissue) to which the classification should be applied; (b) emphasize specificity for diagnosis of cystic renal cancers, thereby decreasing the number of benign and indolent cystic masses that are unnecessarily treated or imaged further; (c) improve interobserver agreement by defining imaging features, terms, and classes of cystic renal masses; (d) reduce variation in reported malignancy rates for each of the Bosniak classes; (e) incorporate MRI and to some extent US; and (f) be applicable to all cystic renal masses encountered in clinical practice, including those that had been considered indeterminate with the original classification. The authors instruct how, using CT, MRI, and to some extent US, the revised classification can be applied, with representative clinical examples and images. Practical tips, pitfalls to avoid, and decision tree rules are included to help radiologists and other physicians apply the Bosniak Classification, version 2019 and better manage cystic renal masses. An online resource and mobile application are also available for clinical assistance. An invited commentary by Siegel and Cohan is available online. ©RSNA, 2021.
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Affiliation(s)
- Nicola Schieda
- From the Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 1053 Carling Ave, Ottawa, ON, Canada K1H 1H6 (N.S.); Departments of Radiology (M.S.D., N.E.C.) and Urology (M.S.D.), Michigan Medicine, University of Michigan, Ann Arbor, Mich; Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, Toronto, ON, Canada (S.K.); Department of Radiology, University of Nebraska Medical Center, Omaha, Neb (E.A.E.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Department of Radiology, New York University Langone Medical Center, New York, NY (N.H.); Department of Radiology and Diagnostic Imaging, Hospital Israelita Albert Einstein, São Paulo, Brazil (R.H.B.); Department of Radiology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (A.S.); and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S.)
| | - Matthew S Davenport
- From the Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 1053 Carling Ave, Ottawa, ON, Canada K1H 1H6 (N.S.); Departments of Radiology (M.S.D., N.E.C.) and Urology (M.S.D.), Michigan Medicine, University of Michigan, Ann Arbor, Mich; Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, Toronto, ON, Canada (S.K.); Department of Radiology, University of Nebraska Medical Center, Omaha, Neb (E.A.E.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Department of Radiology, New York University Langone Medical Center, New York, NY (N.H.); Department of Radiology and Diagnostic Imaging, Hospital Israelita Albert Einstein, São Paulo, Brazil (R.H.B.); Department of Radiology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (A.S.); and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S.)
| | - Satheesh Krishna
- From the Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 1053 Carling Ave, Ottawa, ON, Canada K1H 1H6 (N.S.); Departments of Radiology (M.S.D., N.E.C.) and Urology (M.S.D.), Michigan Medicine, University of Michigan, Ann Arbor, Mich; Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, Toronto, ON, Canada (S.K.); Department of Radiology, University of Nebraska Medical Center, Omaha, Neb (E.A.E.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Department of Radiology, New York University Langone Medical Center, New York, NY (N.H.); Department of Radiology and Diagnostic Imaging, Hospital Israelita Albert Einstein, São Paulo, Brazil (R.H.B.); Department of Radiology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (A.S.); and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S.)
| | - Elizabeth A Edney
- From the Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 1053 Carling Ave, Ottawa, ON, Canada K1H 1H6 (N.S.); Departments of Radiology (M.S.D., N.E.C.) and Urology (M.S.D.), Michigan Medicine, University of Michigan, Ann Arbor, Mich; Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, Toronto, ON, Canada (S.K.); Department of Radiology, University of Nebraska Medical Center, Omaha, Neb (E.A.E.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Department of Radiology, New York University Langone Medical Center, New York, NY (N.H.); Department of Radiology and Diagnostic Imaging, Hospital Israelita Albert Einstein, São Paulo, Brazil (R.H.B.); Department of Radiology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (A.S.); and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S.)
| | - Ivan Pedrosa
- From the Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 1053 Carling Ave, Ottawa, ON, Canada K1H 1H6 (N.S.); Departments of Radiology (M.S.D., N.E.C.) and Urology (M.S.D.), Michigan Medicine, University of Michigan, Ann Arbor, Mich; Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, Toronto, ON, Canada (S.K.); Department of Radiology, University of Nebraska Medical Center, Omaha, Neb (E.A.E.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Department of Radiology, New York University Langone Medical Center, New York, NY (N.H.); Department of Radiology and Diagnostic Imaging, Hospital Israelita Albert Einstein, São Paulo, Brazil (R.H.B.); Department of Radiology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (A.S.); and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S.)
| | - Nicole Hindman
- From the Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 1053 Carling Ave, Ottawa, ON, Canada K1H 1H6 (N.S.); Departments of Radiology (M.S.D., N.E.C.) and Urology (M.S.D.), Michigan Medicine, University of Michigan, Ann Arbor, Mich; Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, Toronto, ON, Canada (S.K.); Department of Radiology, University of Nebraska Medical Center, Omaha, Neb (E.A.E.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Department of Radiology, New York University Langone Medical Center, New York, NY (N.H.); Department of Radiology and Diagnostic Imaging, Hospital Israelita Albert Einstein, São Paulo, Brazil (R.H.B.); Department of Radiology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (A.S.); and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S.)
| | - Ronaldo H Baroni
- From the Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 1053 Carling Ave, Ottawa, ON, Canada K1H 1H6 (N.S.); Departments of Radiology (M.S.D., N.E.C.) and Urology (M.S.D.), Michigan Medicine, University of Michigan, Ann Arbor, Mich; Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, Toronto, ON, Canada (S.K.); Department of Radiology, University of Nebraska Medical Center, Omaha, Neb (E.A.E.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Department of Radiology, New York University Langone Medical Center, New York, NY (N.H.); Department of Radiology and Diagnostic Imaging, Hospital Israelita Albert Einstein, São Paulo, Brazil (R.H.B.); Department of Radiology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (A.S.); and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S.)
| | - Nicole E Curci
- From the Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 1053 Carling Ave, Ottawa, ON, Canada K1H 1H6 (N.S.); Departments of Radiology (M.S.D., N.E.C.) and Urology (M.S.D.), Michigan Medicine, University of Michigan, Ann Arbor, Mich; Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, Toronto, ON, Canada (S.K.); Department of Radiology, University of Nebraska Medical Center, Omaha, Neb (E.A.E.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Department of Radiology, New York University Langone Medical Center, New York, NY (N.H.); Department of Radiology and Diagnostic Imaging, Hospital Israelita Albert Einstein, São Paulo, Brazil (R.H.B.); Department of Radiology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (A.S.); and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S.)
| | - Atul Shinagare
- From the Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 1053 Carling Ave, Ottawa, ON, Canada K1H 1H6 (N.S.); Departments of Radiology (M.S.D., N.E.C.) and Urology (M.S.D.), Michigan Medicine, University of Michigan, Ann Arbor, Mich; Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, Toronto, ON, Canada (S.K.); Department of Radiology, University of Nebraska Medical Center, Omaha, Neb (E.A.E.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Department of Radiology, New York University Langone Medical Center, New York, NY (N.H.); Department of Radiology and Diagnostic Imaging, Hospital Israelita Albert Einstein, São Paulo, Brazil (R.H.B.); Department of Radiology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (A.S.); and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S.)
| | - Stuart G Silverman
- From the Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 1053 Carling Ave, Ottawa, ON, Canada K1H 1H6 (N.S.); Departments of Radiology (M.S.D., N.E.C.) and Urology (M.S.D.), Michigan Medicine, University of Michigan, Ann Arbor, Mich; Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, Toronto, ON, Canada (S.K.); Department of Radiology, University of Nebraska Medical Center, Omaha, Neb (E.A.E.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Department of Radiology, New York University Langone Medical Center, New York, NY (N.H.); Department of Radiology and Diagnostic Imaging, Hospital Israelita Albert Einstein, São Paulo, Brazil (R.H.B.); Department of Radiology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (A.S.); and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S.)
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11
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Cantisani V, Bertolotto M, Clevert DA, Correas JM, Drudi FM, Fischer T, Gilja OH, Granata A, Graumann O, Harvey CJ, Ignee A, Jenssen C, Lerchbaumer MH, Ragel M, Saftoiu A, Serra AL, Stock KF, Webb J, Sidhu PS. EFSUMB 2020 Proposal for a Contrast-Enhanced Ultrasound-Adapted Bosniak Cyst Categorization - Position Statement. ULTRASCHALL IN DER MEDIZIN (STUTTGART, GERMANY : 1980) 2021; 42:154-166. [PMID: 33307594 DOI: 10.1055/a-1300-1727] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
The well-established Bosniak renal cyst classification is based on contrast-enhanced computed tomography determining the malignant potential of cystic renal lesions. Ultrasound has not been incorporated into this pathway. However, the development of ultrasound contrast agents coupled with the superior resolution of ultrasound makes it possible to redefine the imaging of cystic renal lesions. In this position statement, an EFSUMB Expert Task Force reviews, analyzes, and describes the accumulated knowledge and limitations and presents the current position on the use of ultrasound contrast agents in the evaluation of cystic renal lesions.
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Affiliation(s)
- Vito Cantisani
- Department of Radiology, "Sapienza" University of Rome, Rome, Italy
| | - Michele Bertolotto
- Department of Radiology, University of Trieste, Ospedale di Cattinara, Trieste, IT
| | - Dirk-André Clevert
- Department of Clinical Radiology, University of Munich-Großhadern Campus, Munich, Germany
| | - Jean-Michel Correas
- Service de Radiologie adultes, Hôpital Necker, Université Paris Descartes, Paris, France
| | | | - Thomas Fischer
- Department of Radiology, University Berlin, Charité, Berlin, Germany
| | - Odd Helge Gilja
- Haukeland University Hospital, National Centre for Ultrasound in Gastroenterology, Bergen, Norway
| | - Antonio Granata
- Nephrology and Dialysis Unit, Emergency Hospital "Cannizzaro", Catania - Italy
| | - Ole Graumann
- Research and Innovation Unit of Radiology, University of Southern Denmark, Odense C, Denmark
| | - Christopher J Harvey
- Department of Imaging, Imperial College NHS Healthcare Trust, London, United Kingdom of Great Britain and Northern Ireland
| | - Andre Ignee
- Innere Medizin 2, Caritas-Krankenhaus, Bad Mergentheim, Germany
| | - Christian Jenssen
- Klinik für Innere Medizin, Krankenhaus Märkisch Oderland Strausberg/Wriezen, Germany
| | - Markus Herbert Lerchbaumer
- Department of Radiology, Charité Centrum 6 - Diagnostische und interventionelle Radiologie und Nuklearmedizin, Berlin, Germany
| | - Matthew Ragel
- Radiology Department, Aintree University Hospitals NHS Foundation Trust, Liverpool, United Kingdom of Great Britain and Northern Ireland
| | - Adrian Saftoiu
- Research Center in Gastroenterology and Hepatology, University of Medicine and Pharmacy Craiova, Romania
| | - Andreas L Serra
- Department of Internal Medicine and Nephrology, Klinik Hirslanden, Zürich, Switzerland
| | | | - Jolanta Webb
- Radiology Department, Aintree University Hospitals NHS Foundation Trust, Liverpool, United Kingdom of Great Britain and Northern Ireland
| | - Paul S Sidhu
- Department of Radiology, King's College Hospital London, United Kingdom of Great Britain and Northern Ireland
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12
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Nicolau C, Antunes N, Paño B, Sebastia C. Imaging Characterization of Renal Masses. ACTA ACUST UNITED AC 2021; 57:medicina57010051. [PMID: 33435540 PMCID: PMC7827903 DOI: 10.3390/medicina57010051] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Revised: 12/28/2020] [Accepted: 01/04/2021] [Indexed: 01/10/2023]
Abstract
The detection of a renal mass is a relatively frequent occurrence in the daily practice of any Radiology Department. The diagnostic approaches depend on whether the lesion is cystic or solid. Cystic lesions can be managed using the Bosniak classification, while management of solid lesions depends on whether the lesion is well-defined or infiltrative. The approach to well-defined lesions focuses mainly on the differentiation between renal cancer and benign tumors such as angiomyolipoma (AML) and oncocytoma. Differential diagnosis of infiltrative lesions is wider, including primary and secondary malignancies and inflammatory disease, and knowledge of the patient history is essential. Radiologists may establish a possible differential diagnosis based on the imaging features of the renal masses and the clinical history. The aim of this review is to present the contribution of the different imaging techniques and image guided biopsies in the diagnostic management of cystic and solid renal lesions.
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Affiliation(s)
- Carlos Nicolau
- Radiology Department, Hospital Clinic, University of Barcelona (UB), 08036 Barcelona, Spain; (B.P.); (C.S.)
- Correspondence:
| | - Natalie Antunes
- Radiology Department, Hospital de Santa Marta, 1169-024 Lisboa, Portugal;
| | - Blanca Paño
- Radiology Department, Hospital Clinic, University of Barcelona (UB), 08036 Barcelona, Spain; (B.P.); (C.S.)
| | - Carmen Sebastia
- Radiology Department, Hospital Clinic, University of Barcelona (UB), 08036 Barcelona, Spain; (B.P.); (C.S.)
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13
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Wang ZJ, Nikolaidis P, Khatri G, Dogra VS, Ganeshan D, Goldfarb S, Gore JL, Gupta RT, Hartman RP, Heilbrun ME, Lyshchik A, Purysko AS, Savage SJ, Smith AD, Wolfman DJ, Wong-You-Cheong JJ, Lockhart ME. ACR Appropriateness Criteria® Indeterminate Renal Mass. J Am Coll Radiol 2020; 17:S415-S428. [PMID: 33153554 DOI: 10.1016/j.jacr.2020.09.010] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Accepted: 09/01/2020] [Indexed: 12/15/2022]
Abstract
Renal masses are increasingly detected in asymptomatic individuals as incidental findings. CT and MRI with intravenous contrast and a dedicated multiphase protocol are the mainstays of evaluation for indeterminate renal masses. A single-phase postcontrast dual-energy CT can be useful when a dedicated multiphase renal protocol CT is not available. Contrast-enhanced ultrasound with microbubble agents is a useful alternative for characterizing renal masses, especially for patients in whom iodinated CT contrast or gadolinium-based MRI contrast is contraindicated. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision include an extensive analysis of current medical literature from peer reviewed journals and the application of well-established methodologies (RAND/UCLA Appropriateness Method and Grading of Recommendations Assessment, Development, and Evaluation or GRADE) to rate the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where evidence is lacking or equivocal, expert opinion may supplement the available evidence to recommend imaging or treatment.
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Affiliation(s)
- Zhen J Wang
- University of California San Francisco School of Medicine, San Francisco, California.
| | | | - Gaurav Khatri
- Panel Vice-Chair, UT Southwestern Medical Center, Dallas, Texas
| | - Vikram S Dogra
- University of Rochester Medical Center, Rochester, New York
| | | | - Stanley Goldfarb
- University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania; American Society of Nephrology
| | - John L Gore
- University of Washington, Seattle, Washington; American Urological Association
| | - Rajan T Gupta
- Duke University Medical Center, Durham, North Carolina
| | | | | | - Andrej Lyshchik
- Thomas Jefferson University Hospital, Philadelphia, Pennsylvania
| | | | - Stephen J Savage
- Medical University of South Carolina, Charleston, South Carolina; American Urological Association
| | - Andrew D Smith
- University of Alabama at Birmingham, Birmingham, Alabama
| | - Darcy J Wolfman
- Johns Hopkins University School of Medicine, Washington, District of Columbia
| | | | - Mark E Lockhart
- Specialty Chair, University of Alabama at Birmingham, Birmingham, Alabama
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14
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Clinical Importance of Incidental Homogeneous Renal Masses That Measure 10-40 mm and 21-39 HU at Portal Venous Phase CT: A 12-Institution Retrospective Cohort Study. AJR Am J Roentgenol 2020; 217:135-140. [PMID: 32845714 DOI: 10.2214/ajr.20.24245] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
BACKGROUND. Incidental homogeneous renal masses are frequently encountered at portal venous phase CT. The American College of Radiology Incidental Findings Committee's white paper on renal masses recommends additional imaging for incidental homogeneous renal masses greater than 20 HU, but single-center data and the Bosniak classification version 2019 suggest the optimal attenuation threshold for detecting solid masses should be higher. OBJECTIVE. The purpose of this article is to determine the clinical importance of small (10-40 mm) incidentally detected homogeneous renal masses measuring 21-39 HU at portal venous phase CT. METHODS. We performed a 12-institution retrospective cohort study of adult patients who underwent portal venous phase CT for a nonrenal indication. The date of the first CT at each institution ranged from January 1, 2008, to January 1, 2014. Consecutive reports from 12,167 portal venous phase CT examinations were evaluated. Images were reviewed for 4529 CT examinations whose report described a focal renal mass. Eligible masses were 10-40 mm, well-defined, subjectively homogeneous, and 21-39 HU. Of these, masses that were shown to be solid without macroscopic fat; classified as Bosniak IIF, III, or IV; or confirmed to be malignant were considered clinically important. The reference standard was renal mass protocol CT or MRI, ultrasound of definitively benign cysts or solid masses, single-phase contrast-enhanced CT or unenhanced MRI showing no growth or morphologic change for 5 years or more, or clinical follow-up 5 years or greater. A reference standard was available for 346 masses in 300 patients. The 95% CIs were calculated using the binomial exact method. RESULTS. Eligible masses were identified in 4.2% of patients (514/12,167; 95% CI, 3.9-4.6%). Of 346 masses with a reference standard, none were clinically important (0%; 95% CI, 0-0.9%). Mean mass size was 17 mm; 72% (248/346) measured 21-30 HU, and 28% (98/346) measured 31-39 HU. CONCLUSION. Incidental small homogeneous renal masses measuring 21-39 HU at portal venous phase CT are common and highly likely benign. CLINICAL IMPACT. The change in attenuation threshold signifying the need for additional imaging from greater than 20 HU to greater than 30 HU proposed by the Bosniak classification version 2019 is supported.
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Çamlıdağ İ, Nural MS, Kalkan C, Danacı M. Discrimination of papillary renal cell carcinoma from benign proteinaceous cyst based on iodine and water content on rapid kV-switching dual-energy CT. ACTA ACUST UNITED AC 2020; 26:390-395. [PMID: 32755880 DOI: 10.5152/dir.2020.19483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
PURPOSE We aimed to evaluate whether rapid kV-switching dual energy CT (rsDECT) can discriminate between papillary renal cell carcinoma (RCC) and benign proteinaceous cysts (BPCs) based on iodine and water content. METHODS Twenty-four patients with histopathologically proven papillary RCC and 38 patients with 41 BPCs were retrospectively included. Patients with BPCs were eligible for inclusion when the cysts were stable in size and appearance for at least 2 years or proved to be a cyst on ultrasound or MRI. All patients underwent delayed phase (70-90 s) rsDECT. Iodine and water content of each lesion was measured on the workstation. RESULTS Of papillary RCC patients, 4 (16%) were female and 20 (84%) were male. Mean tumor size was 39±20 mm. Mean iodine and water content was 2.08±0.7 mg/mL and 1021±14 mg/mL, respectively. Of BPC patients, 9 were female and 29 were male. Mean cyst size was 20±7 mm. Mean iodine and water content was 0.82±0.4 mg/mL and 1012±14 mg/mL, respectively. There were significant differences between iodine and water contents of papillary RCCs and BPCs (P < 0.001). The best cutoff of iodine content for differentiating papillary RCC from BPC was 1.21 mg/mL (area under the curve [AUC]=0.97, P < 0.001, sensitivity 96%, specificity 88%, positive predictive value [PPV] 82%, negative predictive value [NPV] 97%, accuracy 91%,); the best cutoff of water content was 1015.5 mg/mL (AUC=0.68, P = 0.016, sensitivity 83%, specificity 56%, PPV 52%, NPV 85%, accuracy 66%). CONCLUSION An iodine content threshold of 1.21 mg/mL accurately differentiates papillary RCC from BPCs on a single postcontrast rsDECT. Despite having a high sensitivity, water content has inferior diagnostic accuracy.
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Affiliation(s)
- İlkay Çamlıdağ
- Department of Radiology, Ondokuz Mayıs University School of Medicine, Samsun, Turkey
| | - Mehmet Selim Nural
- Department of Radiology, Ondokuz Mayıs University School of Medicine, Samsun, Turkey
| | - Cihan Kalkan
- Department of Radiology, Ondokuz Mayıs University School of Medicine, Samsun, Turkey
| | - Murat Danacı
- Department of Urology, Ondokuz Mayıs University School of Medicine, Samsun, Turkey
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16
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Krishna S, Leckie A, Kielar A, Hartman R, Khandelwal A. Imaging of Renal Cancer. Semin Ultrasound CT MR 2020; 41:152-169. [DOI: 10.1053/j.sult.2019.12.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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Diagnostic Accuracy of Attenuation Difference and Iodine Concentration Thresholds at Rapid-Kilovoltage-Switching Dual-Energy CT for Detection of Enhancement in Renal Masses. AJR Am J Roentgenol 2019; 213:619-625. [PMID: 31120787 DOI: 10.2214/ajr.18.20990] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
OBJECTIVE. The objective of our study was to evaluate iodine concentration and attenuation change in Hounsfield unit (ΔHU) thresholds to diagnose enhancement in renal masses at rapid-kilovoltage-switching dual-energy CT (DECT). MATERIALS AND METHODS. We evaluated 30 consecutive histologically confirmed solid renal masses (including nine papillary renal cell carcinomas [RCCs]) and 27 benign cysts (17 simple and 10 hemorrhagic or proteinaceous cysts) with DECT December 2016 and May 2018. A blinded radiologist measured iodine concentration (in milligrams per milliliter) and ΔHU (attenuation on enhanced CT - attenuation on unenhanced CT) using 70-keV corticomedullary (CM) phase virtual monochromatic and 120-kVp nephrographic (NG) phase images. The accuracies of previously described enhancement thresholds were compared by ROC curve analysis. RESULTS. An iodine concentration of ≥ 2.0 mg/mL and an iodine concentration of ≥ 1.2 mg/mL achieved sensitivity, specificity, and the area under the ROC curve (AUC) of 73.3%, 100.0%, and 0.87 and 86.7%, 100.0%, and 0.93, respectively. On 70-keV CM phase images, ΔHU ≥ 20 HU and ΔHU ≥ 15 HU yielded sensitivity, specificity, and AUC of 80.0%, 100.0%, and 0.90 and 90.0%, 100.0%, and 0.95, respectively. The numbers of incorrectly classified papillary RCCs were as follows: iodine concentration of ≥ 2.0 mg/mL, 77.8% (7/9; range, 0.7-1.6 mg/mL); iodine concentration of ≥ 1.2 mg/mL, 44.4% (4/9; range, 0.7-0.9 mg/mL); ΔHU ≥ 20 HU on 70-keV CM phase images, 66.7% (6/9; range, 4-17 HU); and ΔHU ≥ 15 HU on 70-keV DECT images, 33.3% (3/9; 4-12 HU). No cyst pseudoenhancement occurred on DECT. For 120-kVp NG phase DECT, ΔHU ≥ 20 HU and ΔHU ≥ 15 HU yielded sensitivity, specificity, and AUC of 93.3%, 96.3%, and 0.95 and 100.0%, 88.9%, and 0.94, respectively. With ΔHU ≥ 20 HU, 22.2% (2/9) (range, 15-18 HU) of papillary RCCs were misclassified and there was one pseudoenhancing cyst. With ΔHU ≥ 15 HU, no papillary RCCs were misclassified but 11.1% (3/27) of cysts showed pseudoenhancement. Only an iodine concentration of ≥ 2.0 mg/mL showed significantly lower accuracy than other measures (p = 0.031-0.045). CONCLUSION. DECT applied in the CM phase performed best using an iodine concentration of ≥ 1.2 mg/mL or a 70-keV ΔHU ≥ 15 HU; these parameters improved sensitivity for the detection of enhancement in renal masses without instances of cyst pseudoenhancement.
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19
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Recommendations for the Management of the Incidental Renal Mass in Adults: Endorsement and Adaptation of the 2017 ACR Incidental Findings Committee White Paper by the Canadian Association of Radiologists Incidental Findings Working Group. Can Assoc Radiol J 2019; 70:125-133. [DOI: 10.1016/j.carj.2019.03.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2019] [Revised: 02/26/2019] [Accepted: 03/02/2019] [Indexed: 12/14/2022] Open
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Prevalence of Low-Attenuation Homogeneous Papillary Renal Cell Carcinoma Mimicking Renal Cysts on CT. AJR Am J Roentgenol 2018; 211:1259-1263. [DOI: 10.2214/ajr.18.19744] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
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Evaluation of a free-breathing respiratory-triggered (Navigator) 3-D T1-weighted (T1W) gradient recalled echo sequence (LAVA) for detection of enhancement in cystic and solid renal masses. Eur Radiol 2018; 29:2507-2517. [PMID: 30506224 DOI: 10.1007/s00330-018-5839-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2018] [Revised: 09/15/2018] [Accepted: 10/17/2018] [Indexed: 01/14/2023]
Abstract
OBJECTIVES To evaluate free-breathing Navigator-triggered 3-D T1-weighted MRI (NAV-LAVA) compared to breath-hold (BH)-LAVA among cystic and solid renal masses. MATERIALS AND METHODS With an IRB waiver, 44 patients with 105 renal masses (71 non-enhancing cysts and 14 cystic and 20 solid renal masses) underwent MRI between 2016 and 2017 where BH-LAVA and NAV-LAVA were performed. Subtraction images were generated for BH-LAVA and NAV-LAVA using pre- and 3-min post-gadolinium-enhanced images and were evaluated by two blinded radiologists for overall image quality, image sharpness, motion artifact, and quality of subtraction (using 5-point Likert scales) and presence/absence of enhancement. Percentage signal intensity change (Δ%SI) = ([SI.post-gadolinium-SI.pre-gadolinium]/SI.pre-gadolinium)*100, was measured on BH-LAVA and NAV-LAVA. Likert scores were compared using Wilcoxon's sign-rank test and accuracy for detection of enhancement compared using receiver operator characteristic (ROC) analysis. RESULTS Overall image quality (p = 0.002-0.141), image sharpness (p = 0.002-0.031), and motion artifact were better (p = 0.002) comparing BH-LAVA to NAV-LAVA for both radiologists; however, quality of image subtraction did not differ between groups (p = 0.09-0.14). Sensitivity/specificity/area under ROC curve for enhancement in cystic and solid renal masses using subtraction and %SIΔ were (1) BH-LAVA: 64.7%/98.6%/0.82 (radiologist 1), 61.8%/95.8%/0.79 (radiologist 2), and 70.6%/81.7%/0.76 (%SIΔ) versus 2) NAV-LAVA: 58.8%/95.8%/0.79 (radiologist 1, p = 0.16), 58.8%/88.7%/0.73 (radiologist 2, p = 0.37), and 73.5%/76.1%/0.75 (%SIΔ, p = 0.74). CONCLUSIONS NAV-LAVA showed similar quality of subtraction and ability to detect enhancement compared to BH-LAVA in renal masses albeit with lower image quality, image sharpness, and increased motion artifact. NAV-LAVA may be considered in renal MRI for patients where BH is suboptimal. KEY POINTS • Free-breathing Navigator (NAV) 3-D subtraction MRI is comparable to breath-hold (BH) images. • Accuracy for subjective and quantitative diagnosis of enhancement in renal masses on NAV 3-D T1W is comparable to BH MRI. • NAV 3-D T1W renal MRI is useful in patients who may not be able to adequately BH.
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Saad AM, Gad MM, Al-Husseini MJ, Ruhban IA, Sonbol MB, Ho TH. Trends in Renal-Cell Carcinoma Incidence and Mortality in the United States in the Last 2 Decades: A SEER-Based Study. Clin Genitourin Cancer 2018; 17:46-57.e5. [PMID: 30391138 DOI: 10.1016/j.clgc.2018.10.002] [Citation(s) in RCA: 136] [Impact Index Per Article: 19.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2018] [Revised: 09/17/2018] [Accepted: 10/04/2018] [Indexed: 02/07/2023]
Abstract
BACKGROUND Renal-cell carcinoma (RCC) is one of the common malignancies in the United States. RCC incidence and mortality have been changing for many reasons. We performed a thorough investigation of incidence and mortality trends of RCC in the United States using the cell Surveillance, Epidemiology, and End Results (SEER) database. PATIENTS AND METHODS The 13 SEER registries were accessed for RCC cases diagnosed between 1992 and 2015. Incidence and mortality were calculated by demographic and tumor characteristics. We calculated annual percentage changes of these rates. Rates were expressed as 100,000 person-years. RESULTS A total of 104,584 RCC cases were reviewed, with 47,561 deaths. The overall incidence was 11.281 per 100,000 person-years. Incidence increased by 2.421% per year (95% confidence interval, 2.096, 2.747; P < .001) but later became stable since 2008. However, the incidence of clear-cell subtype continued to increase (1.449%; 95% confidence interval, 0.216, 2.697; P = .024). RCC overall mortality rates have been declining since 2001. However, mortality associated with distant RCC only started to decrease in 2012, with an annual percentage change of 18.270% (95% confidence interval, -28.775, -6.215; P = .006). CONCLUSION Despite an overall increase in the incidence of RCC, there has been a recent plateau in RCC incidence rates with a significant decrease in mortality.
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Affiliation(s)
- Anas M Saad
- Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Mohamed M Gad
- Faculty of Medicine, Ain Shams University, Cairo, Egypt; Heart and Vascular Institute, Cleveland Clinic Foundation, Cleveland, OH
| | | | - Inas A Ruhban
- Pathology department, Faculty of Medicine, Damascus University, Damascus, Syria
| | | | - Thai H Ho
- Mayo Clinic Cancer Center, Phoenix, AZ.
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23
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Narayanasamy S, Krishna S, Prasad Shanbhogue AK, Flood TA, Sadoughi N, Sathiadoss P, Schieda N. Contemporary update on imaging of cystic renal masses with histopathological correlation and emphasis on patient management. Clin Radiol 2018; 74:83-94. [PMID: 30314810 DOI: 10.1016/j.crad.2018.09.003] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2018] [Accepted: 09/06/2018] [Indexed: 01/21/2023]
Abstract
This article presents an updated review of cystic renal mass imaging. Most cystic renal masses encountered incidentally are benign and can be diagnosed confidently on imaging and require no follow-up. Hyperattenuating masses discovered at unenhanced or single-phase enhanced computed tomography (CT) measuring between 20-70 HU are indeterminate and can be further investigated first by using ultrasound and, then with multi-phase CT or magnetic resonance imaging (MRI); as the majority represent haemorrhagic/proteinaceous cysts (HPCs). Dual-energy CT may improve differentiation between HPCs and masses by suppressing unwanted pseudo-enhancement observed with conventional CT. HPCs can be diagnosed confidently when measuring >70 HU at unenhanced CT or showing markedly increased signal on T1-weighted imaging. Although the Bosniak criteria remains the reference standard for diagnosis and classification of cystic renal masses, histopathological classification and current management has evolved: multilocular cystic renal cell carcinoma (RCC) has been reclassified as a cystic renal neoplasm of low malignant potential, few Bosniak 2F cystic masses progress radiologically during follow-up; RCC with predominantly cystic components are less aggressive than solid RCC; and Bosniak III cystic masses behave non-aggressively. These advances have led to an increase in non-radical management or surveillance of cystic renal masses including Bosniak 3 lesions. Tubulocystic RCC is a newly described entity with distinct imaging characteristics, resembling a pancreatic serous microcystadenoma. Other benign cystic masses including: mixed epithelial stromal tumours (MEST) are now considered in the spectrum of cystic nephroma and angiomyolipoma (AML) with epithelial cysts (AMLEC) resemble a fat-poor AML with cystic components.
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Affiliation(s)
- S Narayanasamy
- Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 501 Smyth Road, Ottawa, ON K1H 8L6, Canada
| | - S Krishna
- Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 501 Smyth Road, Ottawa, ON K1H 8L6, Canada
| | - A K Prasad Shanbhogue
- Department of Radiology, New York University School of Medicine, 660 First Avenue, New York, NY 10016, USA
| | - T A Flood
- Department of Anatomic Pathology, The Ottawa Hospital, University of Ottawa, 501 Smyth Road, Ottawa, ON K1H 8L6, Canada
| | - N Sadoughi
- Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 501 Smyth Road, Ottawa, ON K1H 8L6, Canada
| | - P Sathiadoss
- Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 501 Smyth Road, Ottawa, ON K1H 8L6, Canada
| | - N Schieda
- Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 501 Smyth Road, Ottawa, ON K1H 8L6, Canada.
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24
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Attenuation and Degree of Enhancement With Conventional 120-kVp Polychromatic CT and 70-keV Monochromatic Rapid Kilovoltage-Switching Dual-Energy CT in Cystic and Solid Renal Masses. AJR Am J Roentgenol 2018; 211:789-796. [DOI: 10.2214/ajr.17.19226] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
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