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Wagner JM. Editorial Comment: Contrast-Enhanced Ultrasound of Indeterminate Renal Masses-An Underutilized But Effective Tool. AJR Am J Roentgenol 2024. [PMID: 38447027 DOI: 10.2214/ajr.24.31074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/08/2024]
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Elbanna KY, Krishna S, Finelli A, Atri M. Contrast-Enhanced Ultrasound of the Indeterminate Renal Mass, From the AJR "How We Do It" Special Series. AJR Am J Roentgenol 2024. [PMID: 38415576 DOI: 10.2214/ajr.24.30817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/29/2024]
Abstract
Contrast-enhanced ultrasound (CEUS) is distinguished from CT and MRI by the use of microbubble ultrasound contrast agents (UCAs) with intravascular blood pool distribution. When performing CEUS, low-intensity ultrasound allows real-time tissue subtraction imaging, whereas high-intensity ultrasound leads to microbubble destruction, enabling visualization of the contrast inflow pattern. CEUS has exceptional contrast resolution that enables the detection of even minimal blood flow, achieving very high NPV for ruling out vascular perfusion and providing high frame rates in the evaluation of tissue perfusion dynamics. UCAs undergo hepatic metabolism and pulmonary clearance, ensuring safety in patients with renal impairment. CEUS excels in distinguishing solid from cystic renal masses, with higher sensitivity than CT or MRI for detection of lesion enhancement. CEUS can aid the further characterization of both solid and cystic lesions and may have particular applications in the surveillance of cystic masses and surveillance after renal cell carcinoma ablation. This review describes the use of CEUS to help characterize indeterminate renal masses, based on the authors' institutional experience. The article highlights key differences between CEUS and CT or MRI, and provides practical insights for performing and interpreting CEUS of renal masses.
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Affiliation(s)
- Khaled Y Elbanna
- Department of Medical Imaging, University Medical Imaging Toronto, University of Toronto, Canada
| | - Satheesh Krishna
- Department of Medical Imaging, University Medical Imaging Toronto, University of Toronto, Canada
| | - Antonio Finelli
- Division of Urology, Departments of Surgery and of Surgical Oncology, Princess Margaret Hospital and the University Health Network, University of Toronto, Canada
| | - Mostafa Atri
- Department of Medical Imaging, University Medical Imaging Toronto, University of Toronto, Canada
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Baio R, Molisso G, Caruana C, Di Mauro U, Intilla O, Pane U, D’Angelo C, Campitelli A, Pentimalli F, Sanseverino R. "To Be or Not to Be Benign" at Partial Nephrectomy for Presumed RCC Renal Masses: Single-Center Experience with 195 Consecutive Patients. Diseases 2023; 11:diseases11010027. [PMID: 36810541 PMCID: PMC9945135 DOI: 10.3390/diseases11010027] [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: 11/15/2022] [Revised: 01/21/2023] [Accepted: 01/31/2023] [Indexed: 02/11/2023] Open
Abstract
In daily medical practice, an increasing number of kidney masses are being incidentally detected using common imaging techniques, owing to the improved diagnostic accuracy and increasingly frequent use of these techniques. As a consequence, the rate of detection of smaller lesions is increasing considerably. According to certain studies, following surgical treatment, up to 27% of small enhancing renal masses are identified as benign tumors at the final pathological examination. This high rate of benign tumors challenges the appropriateness of surgery for all suspicious lesions, given the morbidity associated with such an intervention. The objective of the present study was, therefore, to determine the incidence of benign tumors at partial nephrectomy (PN) for a solitary renal mass. To meet this end, a total of 195 patients who each underwent one PN for a solitary renal lesion with the intent to cure RCC were included in the final retrospective analysis. A benign neoplasm was identified in 30 of these patients. The age of the patients ranged from 29.9-79 years (average: 60.9 years). The tumor size range was 1.5-7 cm (average: 3 cm). All the operations were successful using the laparoscopic approach. The pathological results were renal oncocytoma in 26 cases, angiomyolipomas in two cases, and cysts in the remaining two cases. In conclusion, we have shown in our present series the incidence rate of benign tumors in patients who have been subjected to laparoscopic PN due to a suspected solitary renal mass. Based on these results, we advise that the patient should be counseled not only about the intra- and post-operative risks of nephron-sparing surgery but also about its dual therapeutic and diagnostic role. Therefore, the patients should be informed of the considerably high probability of a benign histological result.
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Affiliation(s)
- Raffaele Baio
- Department of Medicine and Surgery “Scuola Medica Salernitana”, University of Salerno, 84081 Baronissi, Italy
- Correspondence:
| | - Giovanni Molisso
- Department of Urology, Umberto I, Nocera Inferiore, 84014 Salerno, Italy
| | | | - Umberto Di Mauro
- Department of Urology, Umberto I, Nocera Inferiore, 84014 Salerno, Italy
| | - Olivier Intilla
- Department of Urology, Umberto I, Nocera Inferiore, 84014 Salerno, Italy
| | - Umberto Pane
- Department of Urology, Umberto I, Nocera Inferiore, 84014 Salerno, Italy
| | - Costantino D’Angelo
- Department of Medical Biotechnologies, University of Siena, 53100 Siena, Italy
| | - Antonio Campitelli
- Department of Urology, Umberto I, Nocera Inferiore, 84014 Salerno, Italy
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Pourvaziri A, Mojtahed A, Hahn PF, Gee MS, Kambadakone A, Sahani DV. Renal lesion characterization: clinical utility of single-phase dual-energy CT compared to MRI and dual-phase single-energy CT. Eur Radiol 2023; 33:1318-1328. [PMID: 36074261 DOI: 10.1007/s00330-022-09106-6] [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: 01/27/2022] [Revised: 07/13/2022] [Accepted: 08/10/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVES To assess the impact of dual-energy CT (DECT) utilization in practice by measuring the readers' confidence, the need for additional image requests, and diagnostic performance in renal lesion assessment, compared to single-energy CT (SECT) using contrast-enhanced MRI to establish the reference standard. MATERIALS AND METHODS Sixty-nine patients (M/F = 47/22) who underwent a dual-phase renal SECT (n = 34) or DECT (n = 35) and had a contrast-enhanced MRI within 180 days were retrospectively collected. Three radiologists assessed images on different sessions (SECT, DECT, and MRI) for (1) likely diagnosis (enhancing/non-enhancing); (2) diagnostic confidence (5-point Likert scale); (3) need for additional imaging test (yes/no); and (4) need for follow-up imaging (yes/no). Diagnostic accuracy was compared using AUC; p value < 0.05 was considered significant. RESULTS One hundred fifty-six lesions consisting of 18% enhancing (n = 28/156, mean size: 30.37 mm, range: 9.9-94 mm) and 82% non-enhancing (n = 128/156, mean size: 23.91 mm, range: 5.0-94.2 mm) were included. The confidence level was significantly lower for SECT than their MRI (4.50 vs. 4.80, p value < 0.05) but not significantly different for DECT and the corresponding MRI (4.78 vs. 4.78, p > 0.05). There were significantly more requests for additional imaging in the SECT session than the corresponding MRI (20% vs. 4%), which was not significantly different between DECT and their MRI counterpart session (5.7% vs. 4.9%). Inter-reader agreement was almost perfect for DECT and MRI (kappa: 0.8-1) and substantial in SECT sessions (kappa: 0.6-0.8) with comparable diagnostic accuracy between SECT, DECT, and MRI (p value > 0.05). CONCLUSION Single-phase DECT allows confident and reproducible characterization of renal masses with fewer recommendation for additional and follow-up imaging tests than dual-phase SECT and a performance similar to MRI. KEY POINTS • DECT utilization leads to similar additional image requests to MRI (5.7% vs. 4.9%, p value > 0.05), whereas single-energy CT utilization leads to significantly higher image requests (20% vs. 4%, p value < 0.05). • DECT and MRI utilization bring highly reproducible results with almost perfect inter-reader agreement (kappa: 0.8-1), better than the inter-reader agreement in SECT utilization (kappa: 0.6-0.8). • Readers' confidence was not significantly altered between DECT and their MRI readout session (p value > 0.05). In contrast, confidence in the diagnosis was significantly lower in the SECT session than their MRI readout (p value < 0.05).
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Affiliation(s)
- Ali Pourvaziri
- Department of Radiology, Massachusetts General Hospital, 55 Fruit St, White 270, Boston, MA, 02114, USA.
| | - Amirkasra Mojtahed
- Department of Radiology, Massachusetts General Hospital, 55 Fruit St, White 270, Boston, MA, 02114, USA
| | - Peter F Hahn
- Department of Radiology, Massachusetts General Hospital, 55 Fruit St, White 270, Boston, MA, 02114, USA
| | - Michael S Gee
- Department of Radiology, Massachusetts General Hospital, 55 Fruit St, White 270, Boston, MA, 02114, USA
| | - Avinash Kambadakone
- Department of Radiology, Massachusetts General Hospital, 55 Fruit St, White 270, Boston, MA, 02114, USA
| | - Dushyant V Sahani
- Department of Radiology, University of Washington, Seattle, WA, 98195, USA
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The Role of CT Imaging in Characterization of Small Renal Masses. Diagnostics (Basel) 2023; 13:diagnostics13030334. [PMID: 36766439 PMCID: PMC9914376 DOI: 10.3390/diagnostics13030334] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 01/02/2023] [Accepted: 01/09/2023] [Indexed: 01/18/2023] Open
Abstract
Small renal masses (SRM) are increasingly detected incidentally during imaging. They vary widely in histology and aggressiveness, and include benign renal tumors and renal cell carcinomas that can be either indolent or aggressive. Imaging plays a key role in the characterization of these small renal masses. While a confident diagnosis can be made in many cases, some renal masses are indeterminate at imaging and can present as diagnostic dilemmas for both the radiologists and the referring clinicians. This review focuses on CT characterization of small renal masses, perhaps helping us understand small renal masses. The following aspects were considered for the review: (a) assessing the presence of fat, (b) assessing the enhancement, (c) differentiating renal tumor subtype, and (d) identifying valuable CT signs.
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[Incidental and leave me alone findings of abdominal organs-part 2 : Spleen, kidneys and adrenal glands and efferent urinary tracts]. Radiologe 2022; 62:439-450. [PMID: 35441883 DOI: 10.1007/s00117-022-00998-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/17/2022] [Indexed: 10/18/2022]
Abstract
For masses of the spleen, which are mostly benign, accessory spleens, cysts and hemangiomas should be radiologically described; however, if confirmed further follow-up control is unnecessary. In the case of disseminated small masses, chronic inflammation and granulomatous diseases, such as tuberculosis and sarcoidosis should be considered in the differential diagnostics. Solid masses in the kidneys should always be further clarified, with the exception of a fat-rich angiomyolipoma. For cystic masses of the kidneys, the modified Bosniak classification for computed tomography or magnetic resonance imaging should be used. Masses of the adrenal glands greater than 10mm in size should be clarified further as well as those where fat is not detected, independent of the size and evidence of malignancy.
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Atri M, Jang HJ, Kim TK, Khalili K. Contrast-enhanced US of the Liver and Kidney: A Problem-solving Modality. Radiology 2022; 303:11-25. [PMID: 35191740 DOI: 10.1148/radiol.211347] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Contrast-enhanced US (CEUS) has an important role as a supplement to CT or MRI in clinical practice. The main established utilizations are in the liver and the kidney. The primary advantages of CEUS compared with contrast-enhanced CT or MRI relate to its superior contrast resolution, real-time continuous scanning, pure intravascular nature, portability, and safety-especially in patients with renal impairment or CT or MRI contrast agent allergy. This article focuses on the use of CEUS in the liver and kidney.
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Affiliation(s)
- Mostafa Atri
- From the Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital, Women's College Hospital, University of Toronto, Toronto General Hospital, 585 University Ave, Toronto, ON, Canada M5G 2N2
| | - Hyun-Jung Jang
- From the Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital, Women's College Hospital, University of Toronto, Toronto General Hospital, 585 University Ave, Toronto, ON, Canada M5G 2N2
| | - Tae Kyoung Kim
- From the Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital, Women's College Hospital, University of Toronto, Toronto General Hospital, 585 University Ave, Toronto, ON, Canada M5G 2N2
| | - Korosh Khalili
- From the Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital, Women's College Hospital, University of Toronto, Toronto General Hospital, 585 University Ave, Toronto, ON, Canada M5G 2N2
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Small Renal Masses without Gross Fat: What Is the Role of Contrast-Enhanced MDCT? Diagnostics (Basel) 2022; 12:diagnostics12020553. [PMID: 35204643 PMCID: PMC8871355 DOI: 10.3390/diagnostics12020553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 02/17/2022] [Accepted: 02/18/2022] [Indexed: 11/17/2022] Open
Abstract
Increased detection of small renal masses (SRMs) has encouraged research for non-invasive diagnostic tools capable of adequately differentiating malignant vs. benign SRMs and the type of the tumour. Multi-detector computed tomography (MDCT) has been suggested as an alternative to intervention, therefore, it is important to determine both the capabilities and limitations of MDCT for SRM evaluation. In our study, two abdominal radiologists retrospectively blindly assessed MDCT scan images of 98 patients with incidentally detected lipid-poor SRMs that did not present as definitely aggressive lesions on CT. Radiological conclusions were compared to histopathological findings of materials obtained during surgery that were assumed as the gold standard. The probability (odds ratio (OR)) in regression analyses, sensitivity (SE), and specificity (SP) of predetermined SRM characteristics were calculated. Correct differentiation between malignant vs. benign SRMs was detected in 70.4% of cases, with more accurate identification of malignant (73%) in comparison to benign (65.7%) lesions. The radiological conclusions of SRM type matched histopathological findings in 56.1%. Central scarring (OR 10.6, p = 0.001), diameter of lesion (OR 2.4, p = 0.003), and homogeneous accumulation of contrast medium (OR 3.4, p = 0.03) significantly influenced the accuracy of malignant diagnosis. SE and SP of these parameters varied from 20.6% to 91.3% and 22.9% to 74.3%, respectively. In conclusion, MDCT is able to correctly differentiate malignant versus uncharacteristic benign SRMs in more than 2/3 of cases. However, frequency of the correct histopathological SRM type MDCT identification remains low.
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Richard PO, Violette PD, Bhindi B, Breau RH, Kassouf W, Lavallée LT, Jewett M, Kachura JR, Kapoor A, Noel-Lamy M, Ordon M, Pautler SE, Pouliot F, So AI, Rendon RA, Tanguay S, Collins C, Kandi M, Shayegan B, Weller A, Finelli A, Kokorovic A, Nayak J. Canadian Urological Association guideline: Management of small renal masses - Full-text. Can Urol Assoc J 2022; 16:E61-E75. [PMID: 35133268 PMCID: PMC8932428 DOI: 10.5489/cuaj.7763] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2023]
Affiliation(s)
- Patrick O. Richard
- Department of Surgery, Division of Urology, Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, QC, Canada
| | - Philippe D. Violette
- Departments of Health Research Methods Evidence and Impact (HEI) and Surgery, McMaster University, Hamilton, ON, Canada
| | - Bimal Bhindi
- Southern Alberta Institute of Urology, University of Calgary, Calgary, AB, Canada
| | - Rodney H. Breau
- Department of Surgery, Division of Urology, University of Ottawa, Ottawa, ON, Canada
| | - Wassim Kassouf
- Department of Surgery, Division of Urology, McGill University Health Centre, Montreal, QC, Canada
| | - Luke T. Lavallée
- Department of Surgery, Division of Urology, University of Ottawa, Ottawa, ON, Canada
| | - Michael Jewett
- Department of Surgical Oncology, Division of Urology, Princess Margaret Hospital, Toronto, ON, Canada
| | - John R. Kachura
- Joint Department of Medical Imaging, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Anil Kapoor
- McMaster Institute of Urology, St. Joseph Healthcare, Hamilton, ON, Canada
| | - Maxime Noel-Lamy
- Department of Medical Imaging, Division of Interventional Radiology, Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, QC, Canada
| | - Michael Ordon
- Department of Surgery, Division of Urology, St. Michael’s Hospital, Toronto, ON, Canada
| | - Stephen E. Pautler
- Department of Surgery, Division of Urology, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Frédéric Pouliot
- Department of Surgery, Division of Urology, Centre Hospitalier Universitaire de Québec, Quebec, QC, Canada
| | - Alan I. So
- Division of Urology, British Columbia Cancer Care, Vancouver, BC, Canada
| | - Ricardo A. Rendon
- Department of Surgery, Division of Urology, Capital Health - QEII, Halifax, NS, Canada
| | - Simon Tanguay
- Department of Surgery, Division of Urology, McGill University Health Centre, Montreal, QC, Canada
| | | | - Maryam Kandi
- Departments of Health Research Methods Evidence and Impact (HEI) and Surgery, McMaster University, Hamilton, ON, Canada
| | - Bobby Shayegan
- McMaster Institute of Urology, St. Joseph Healthcare, Hamilton, ON, Canada
| | | | - Antonio Finelli
- Department of Surgical Oncology, Division of Urology, Princess Margaret Hospital, Toronto, ON, Canada
| | - Andrea Kokorovic
- Centre Hospitalier de l’Université de Montréal, Montreal, QC, Canada
| | - Jay Nayak
- Department of Surgery, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
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Wang X, Song G, Jiang H. Differentiation of renal angiomyolipoma without visible fat from small clear cell renal cell carcinoma by using specific region of interest on contrast-enhanced CT: a new combination of quantitative tools. Cancer Imaging 2021; 21:47. [PMID: 34225784 PMCID: PMC8259143 DOI: 10.1186/s40644-021-00417-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Accepted: 06/28/2021] [Indexed: 11/26/2022] Open
Abstract
Background To investigate the value of using specific region of interest (ROI) on contrast-enhanced CT for differentiating renal angiomyolipoma without visible fat (AML.wovf) from small clear cell renal cell carcinoma (ccRCC). Methods Four-phase (pre-contrast phase [PCP], corticomedullary phase [CMP], nephrographic phase [NP], and excretory phase [EP]) contrast-enhanced CT images of AML.wovf (n = 31) and ccRCC (n = 74) confirmed by histopathology were retrospectively analyzed. The CT attenuation value of tumor (AVT), net enhancement value (NEV), relative enhancement ratio (RER), heterogeneous degree of tumor (HDT) and standardized heterogeneous ratio (SHR) were obtained by using different ROIs [small: ROI (1), smaller: ROI (2), large: ROI (3)], and the differences of these quantitative data between AML.wovf and ccRCC were statistically analyzed. Multivariate regression was used to screen the main factors for differentiation in each scanning phase, and the prediction models were established and evaluated. Results Among the quantitative parameters determined by different ROIs, the degree of enhancement measured by ROI (2) and the enhanced heterogeneity measured by ROI (3) performed better than ROI (1) in distinguishing AML.wovf from ccRCC. The receiver operating characteristic (ROC) curves showed that the area under the curve (AUC) of RER_CMP (2), RER_NP (2) measured by ROI (2) and HDT_CMP and SHR_CMP measured by ROI (3) were higher (AUC = 0.876, 0.849, 0.837 and 0.800). Prediction models that incorporated demographic data, morphological features and quantitative data derived from the enhanced phase were superior to quantitative data derived from the pre-contrast phase in differentiating between AML.wovf and ccRCC. Among them, the model in CMP was the best prediction model with the highest AUC (AUC = 0.986). Conclusion The combination of quantitative data obtained by specific ROI in CMP can be used as a simple quantitative tool to distinguish AML.wovf from ccRCC, which has a high diagnostic value after combining demographic data and morphological features.
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Affiliation(s)
- Xu Wang
- Department of Radiology, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), No 1, Banshan East Road, Hangzhou, Zhejiang Province, 310022, People's Republic of China. .,Institute of Cancer and Basic Medicine, Chinese Academy of Sciences, No 1, Banshan East Road, Hangzhou, Zhejiang Province, 310022, People's Republic of China.
| | - Ge Song
- Department of Radiology, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), No 1, Banshan East Road, Hangzhou, Zhejiang Province, 310022, People's Republic of China.,Institute of Cancer and Basic Medicine, Chinese Academy of Sciences, No 1, Banshan East Road, Hangzhou, Zhejiang Province, 310022, People's Republic of China
| | - Haitao Jiang
- Department of Radiology, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), No 1, Banshan East Road, Hangzhou, Zhejiang Province, 310022, People's Republic of China.,Institute of Cancer and Basic Medicine, Chinese Academy of Sciences, No 1, Banshan East Road, Hangzhou, Zhejiang Province, 310022, People's Republic of China
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Elbanna KY, Jang HJ, Kim TK, Khalili K, Guimarães LS, Atri M. The added value of contrast-enhanced ultrasound in evaluation of indeterminate small solid renal masses and risk stratification of cystic renal lesions. Eur Radiol 2021; 31:8468-8477. [PMID: 33912992 DOI: 10.1007/s00330-021-07964-0] [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] [Received: 12/12/2020] [Revised: 02/09/2021] [Accepted: 03/29/2021] [Indexed: 11/25/2022]
Abstract
OBJECTIVES To investigate accuracy of contrast-enhanced ultrasound (CEUS) to characterize indeterminate small solid renal masses (sSRMs), excluding lipid-rich AMLs, and cystic renal masses (CRMs) according to the proposed Bosniak Classification 2019 MATERIALS AND METHODS: CEUS of pathology-proven CRMs and sSRMs (without definite enhancement or macroscopic fat on CT/MRI), and CRMs with ≥18 months follow-up were retrospectively reviewed. Two radiologists blindly categorized CRMs according to new Bosniak Classification on CT/MRI. On CEUS, two other radiologists evaluated arterial-phase enhancement of sSRMs relative to renal cortex and categorized CRMs following new Bosniak Classification. Fisher's exact/chi-squared test was used to compare categorical variables, and Cohen κ statistics for inter-observer agreement RESULTS: A total of 237 patients had 241 lesions: 161 pathology-proven sSRMs (122 malignant and 39 benign), 29 pathology-proven CRMs, 51 CRMs with adequate follow-up. Arterial-phase enhancement < renal cortex predicted malignancy with specificity of 97.4% (38/39) (CI 85.6-99.9%), and positive predictive value (PPV) of 98.2% (54/55) (CI 90.4-99.9%). Inter-observer kappa was 0.95. In pathology-proven CRMS, sensitivity of CEUS vs CT/MRI was 100% (15/15) (CI 79.6-100%) vs 60% (9/15) (CI 35.8-80.1%) (p value = .002) and negative predictive value (NPV) 100% (2/2) (CI 17.8-100%) vs 25% (2/8 ) (CI 4.4-59.1%) (p value < 0.0001), with similar specificity (50%) and PPV- 88.2% (15/17) (CI 65.7-97.9%) vs 81.8% (9/11) (CI 52.3-96.8%) ( p value = 0.586). Bosniak Classification inter-observer kappa was 0.92 for CEUS vs 0.68 for CT/MRI (p value = 0.009). CONCLUSION In our cohort, CEUS had high specificity and PPV to diagnose RCC in sSRMs excluding lipid-rich AML. CEUS had significantly higher sensitivity/NPV to diagnose malignancy in CRMs as compared to CT/MRI. KEY POINTS • Once lipid-rich AML is excluded by the other modalities, sSRM arterial phase hypo-enhancement relative to renal cortex on CEUS yielded high specificity (97.4%) and PPV (98.2%) to diagnose RCC. • When applying the proposed Bosniak Classification 2019, CEUS showed higher sensitivity compared to CT/MRI (100% vs 60%), p value=.0024, in the stratification of cystic renal masses to diagnose malignancy. • CEUS may reduce the number of CT/MRI Bosniak IIF lesions by assigning them to either II or III/IV categories.
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Affiliation(s)
- Khaled Y Elbanna
- Toronto Joint Department of Medical Imaging, University Health Network, Sinai Health System and Women's College Hospital, University of Toronto, Toronto, ON, Canada
| | - Hyun-Jung Jang
- Toronto Joint Department of Medical Imaging, University Health Network, Sinai Health System and Women's College Hospital, University of Toronto, Toronto, ON, Canada
| | - Tae Kyoung Kim
- Toronto Joint Department of Medical Imaging, University Health Network, Sinai Health System and Women's College Hospital, University of Toronto, Toronto, ON, Canada
| | - Korosh Khalili
- Toronto Joint Department of Medical Imaging, University Health Network, Sinai Health System and Women's College Hospital, University of Toronto, Toronto, ON, Canada
| | - Luís S Guimarães
- Toronto Joint Department of Medical Imaging, University Health Network, Sinai Health System and Women's College Hospital, University of Toronto, Toronto, ON, Canada
| | - Mostafa Atri
- Toronto Joint Department of Medical Imaging, University Health Network, Sinai Health System and Women's College Hospital, University of Toronto, Toronto, ON, Canada.
- Department of Medical Imaging, Toronto General Hospital, University of Toronto, 585 University Avenue, Toronto, ON M5G 2N2, Canada.
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Shinagare AB, Davenport MS, Park H, Pedrosa I, Remer EM, Chandarana H, Doshi AM, Schieda N, Smith AD, Vikram R, Wang ZJ, Silverman SG. Lexicon for renal mass terms at CT and MRI: a consensus of the society of abdominal radiology disease-focused panel on renal cell carcinoma. Abdom Radiol (NY) 2021; 46:703-722. [PMID: 32809055 PMCID: PMC7889755 DOI: 10.1007/s00261-020-02644-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 06/25/2020] [Accepted: 07/04/2020] [Indexed: 12/16/2022]
Abstract
PURPOSE There is substantial variation in the radiologic terms used to characterize renal masses, leading to ambiguity and inconsistency in clinical radiology reports and research studies. The purpose of this study was to develop a standardized lexicon to describe renal masses at CT and MRI. MATERIALS AND METHODS This multi-institutional, prospective, quality improvement project was exempt from IRB oversight. Thirteen radiologists belonging to the Society of Abdominal Radiology (SAR) disease-focused panel on renal cell carcinoma representing nine academic institutions participated in a modified Delphi process to create a lexicon of terms used to describe imaging features of renal masses at CT and MRI. In the first round, members voted on terms to be included and proposed definitions; subsequent voting rounds and a teleconference established consensus. One non-voting member developed the questionnaire and consolidated responses. Consensus was defined as ≥ 80% agreement. RESULTS Of 37 proposed terms, 6 had consensus to be excluded. Consensus for inclusion was reached for 30 of 31 terms (13/14 basic imaging terms, 8/8 CT terms, 6/6 MRI terms and 3/3 miscellaneous terms). Despite substantial initial disagreement about definitions of 'renal mass,' 'necrosis,' 'fat,' and 'restricted diffusion' in the first round, consensus for all was eventually reached. Disagreement remained for the definition of 'solid mass.' CONCLUSIONS A modified Delphi method produced a lexicon of preferred terms and definitions to be used in the description of renal masses at CT and MRI. This lexicon should improve clarity and consistency of radiology reports and research related to renal masses.
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Affiliation(s)
- Atul B Shinagare
- Department of Radiology, Brigham and Women's Hospital/Harvard Medical School, 75 Francis Street, Boston, MA, 02215, USA.
- Dana-Farber Cancer Institute, Boston, USA.
- Society of Abdominal Radiology Disease-Focused Panel on Renal Cell Carcinoma, Houston, TX, USA.
| | - Matthew S Davenport
- Society of Abdominal Radiology Disease-Focused Panel on Renal Cell Carcinoma, Houston, TX, USA
- Departments of Radiology & Urology, Michigan Medicine, Ann Arbor, MI, USA
| | - Hyesun Park
- Department of Radiology, Brigham and Women's Hospital/Harvard Medical School, 75 Francis Street, Boston, MA, 02215, USA
- Dana-Farber Cancer Institute, Boston, USA
| | - Ivan Pedrosa
- Society of Abdominal Radiology Disease-Focused Panel on Renal Cell Carcinoma, Houston, TX, USA
- University of Texas Southwestern, Dallas, TX, USA
| | - Erick M Remer
- Society of Abdominal Radiology Disease-Focused Panel on Renal Cell Carcinoma, Houston, TX, USA
- Cleveland Clinic, Cleveland, OH, USA
| | - Hersh Chandarana
- Society of Abdominal Radiology Disease-Focused Panel on Renal Cell Carcinoma, Houston, TX, USA
- NYU Langone Health, New York, NY, USA
| | - Ankur M Doshi
- Society of Abdominal Radiology Disease-Focused Panel on Renal Cell Carcinoma, Houston, TX, USA
- NYU Langone Health, New York, NY, USA
| | - Nicola Schieda
- Society of Abdominal Radiology Disease-Focused Panel on Renal Cell Carcinoma, Houston, TX, USA
- University of Ottawa, Ottawa, ON, Canada
| | - Andrew D Smith
- Society of Abdominal Radiology Disease-Focused Panel on Renal Cell Carcinoma, Houston, TX, USA
- University of Alabama at Birmingham, Birmingham, AL, USA
| | - Raghunandan Vikram
- Society of Abdominal Radiology Disease-Focused Panel on Renal Cell Carcinoma, Houston, TX, USA
- The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - Zhen J Wang
- Society of Abdominal Radiology Disease-Focused Panel on Renal Cell Carcinoma, Houston, TX, USA
- UCSF, San Francisco, CA, USA
| | - Stuart G Silverman
- Department of Radiology, Brigham and Women's Hospital/Harvard Medical School, 75 Francis Street, Boston, MA, 02215, USA
- Society of Abdominal Radiology Disease-Focused Panel on Renal Cell Carcinoma, Houston, TX, USA
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Martínez Rodríguez C, Tardáguila de la Fuente G, Villanueva Campos A. Current management of small renal masses. RADIOLOGIA 2020. [DOI: 10.1016/j.rxeng.2020.02.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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Iodine Parameters in Triple-Bolus Dual-Energy CT Correlate With Perfusion CT Biomarkers of Angiogenesis in Renal Cell Carcinoma. AJR Am J Roentgenol 2020; 214:808-816. [PMID: 32069083 DOI: 10.2214/ajr.19.21969] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
OBJECTIVE. The purpose of this study is to determine the degree of the relationship between perfusion CT (PCT) parameters and iodine concentration metrics derived from triple-bolus dual-energy CT (DECT) and to compare the radiation dose delivered. SUBJECTS AND METHODS. This single-center prospective study was conducted from October 2015 to September 2017. Twenty-three consenting adults (15 men and eight women; mean [± SD] age, 56 ± 13 years [range, 25-78 years]) with renal cell carcinomas underwent consecutive PCT and triple-bolus DECT examinations. Triple-bolus DECT consisted of synchronous corticomedullary, nephrographic, and delayed phase scans acquired using a dual-source DECT scanner. Two readers independently analyzed blood flow, blood volume, and permeability, as measured by PCT, and iodine density and iodine ratio, as measured by triple-bolus DECT. Size-specific dose estimates were calculated for both groups. RESULTS. Interreader agreement was good for permeability (intraclass correlation coefficient [ICC] =.812) and blood flow (ICC = 0.849) and excellent for blood volume (ICC = 0.956), iodine density (ICC = 0.961), and iodine ratio (ICC = 0.956). Very strong positive correlations were found between blood volume and iodine density (p < 0.001) and between blood volume and iodine ratio (p < 0.001). Strong positive correlations were found between blood flow and iodine density (p < 0.001) and between blood flow and iodine ratio (p < 0.001). The correlations between permeability and iodine density (p = 0.01) and between permeability and iodine ratio (p = 0.02) were moderate. The mean size-specific dose estimate of triple-bolus DECT was approximately 15 times lower than that of PCT (p < 0.001). CONCLUSION. Quantitative iodine metrics derived from triple-bolus DECT showed significant correlation with CT parameters in renal cell carcinoma, with a significantly lower radiation dose.
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Martínez Rodríguez C, Tardáguila de la Fuente G, Villanueva Campos AM. Current management of small renal masses. RADIOLOGIA 2019; 62:167-179. [PMID: 31882171 DOI: 10.1016/j.rx.2019.11.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2019] [Revised: 11/18/2019] [Accepted: 11/22/2019] [Indexed: 12/12/2022]
Abstract
One of the consequences of the growing use of diagnostic imaging techniques is the notable growth in the detection of small renal masses presumably corresponding to localized tumors that are potentially curable with surgical treatment. When faced with the finding of a small renal mass, radiologists must determine whether it is benign or malignant, and if it is malignant, what subtype it belong to, and whether it should be managed with surgical treatment, with ablative techniques, or with watchful waiting with active surveillance. Small renal masses are now a clinical entity that require management different from the approaches used for classical renal cell carcinomas. In this scenario, radiologists are key because they are involved in all aspects of the management of these tumors, including in their diagnosis, treatment, and follow-up.
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Abstract
PURPOSE OF REVIEW In recent years, there has been renewed interest in the use of contrast-enhanced ultrasound (CEUS) in abdominal imaging and intervention. The goal of this article is to review the practical applications of CEUS in the kidney, including renal mass characterization, treatment monitoring during and after percutaneous ablation, and biopsy guidance. RECENT FINDINGS Current evidence suggests that CEUS allows accurate differentiation of solid and cystic renal masses and is an acceptable alternative to either computed tomography (CT) or magnetic resonance imaging (MRI) for characterization of indeterminate renal masses. CEUS is sensitive and specific for diagnosing residual or recurrent renal cell carcinoma (RCC) following percutaneous ablation. Furthermore, given its excellent spatial and temporal resolution, CEUS is well suited to demonstrate tumoral microvascularity associated with malignant renal masses and is an effective complement to conventional grayscale ultrasound (US) for percutaneous biopsy guidance. Currently underutilized, CEUS is an important problem-solving tool in renal imaging and intervention whose role will continue to expand in coming years.
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Apparent Diffusion Coefficient Distinguishes Malignancy in T1-Hyperintense Small Renal Masses. AJR Am J Roentgenol 2019; 214:114-121. [PMID: 31573857 DOI: 10.2214/ajr.19.21907] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
OBJECTIVE. Small renal masses (< 4 cm) can be difficult to accurately classify as benign or malignant, particularly when they appear T1 hyperintense on MRI. This intrinsic signal, potentially related to intralesional hemorrhage, may limit evaluation of signal intensity on DWI. The purpose of this study was to test whether apparent diffusion coefficient (ADC) measurements may distinguish malignancy. MATERIALS AND METHODS. This single-center retrospective study identified patients with a T1-hyperintense renal mass less than 4 cm on MRI. Malignant lesions were pathologically proven; a benign mass was established by a predefined hierarchy of pathologic proof, follow-up ultrasound, or follow-up imaging showing more than 5 years of stability. T1 hyperintensity, defined as a signal intensity equivalent to or greater than the adjacent renal cortex, was confirmed by a senior abdominal radiologist. Two additional abdominal radiologists independently measured ADC of the lesion, which was normalized to the ADC of the background ipsilateral kidney and represented as ADCratio. RESULTS. The final cohort included 58 benign and 37 malignant renal lesions in 95 patients. Interrater agreement for ADC measurements was almost perfect (κ = 0.836-0.934). ADCratio was significantly lower in malignant compared with benign lesions (0.65 ± 0.29 vs 1.03 ± 0.32; p < 0.001). Malignant lesions were significantly larger than benign lesions (2.66 ± 0.86 cm vs 1.50 ± 0.65 cm; p < 0.001); however, after controlling for lesion size, ADCratio remained a significant predictor of malignancy (p < 0.001). CONCLUSION. ADCratio was highly reproducible for T1-hyperintense small renal masses and was significantly lower in malignant compared with benign renal masses.
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Abstract
PURPOSE OF REVIEW With this review, we describe the most recent advances in active surveillance as well as diagnosis and management of small renal masses (SRMs). RECENT FINDINGS We discuss diagnosis, differentiation of solid from cystic lesions, risk prediction and treatment of the SRM. A better understanding of the disease facilitates the use of more conservatory treatments, such as active surveillance. Active surveillance has been increasingly accepted not only for SRM, but also for larger tumors and even metastatic patients. Exiting advances in risk prediction will help us define which patients can be safely managed with active surveillance and which require immediate treatment. Meanwhile, the use of renal tumor biopsies is still an important tool for these cases. SUMMARY Active surveillance is an option for many patients with renal masses. Noninvasive methods for diagnosis and risk prediction are being developed, but meanwhile, renal tumor biopsy is a useful tool. A better understanding of the disease increases the number of patients who can undergo active surveillance fully certain of the safety of their management.
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Pourvaziri A, Parakh A, Mojtahed A, Kambadakone A, Sahani DV. Diagnostic performance of dual-energy CT and subtraction CT for renal lesion detection and characterization. Eur Radiol 2019; 29:6559-6570. [DOI: 10.1007/s00330-019-06224-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Revised: 03/21/2019] [Accepted: 04/04/2019] [Indexed: 01/14/2023]
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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: 2.6] [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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Diagnostic Accuracy of Dual-Energy CT for Evaluation of Renal Masses: Systematic Review and Meta-Analysis. AJR Am J Roentgenol 2019; 212:W100-W105. [DOI: 10.2214/ajr.18.20527] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
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22
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Alrashed A, Ahmad H, Khalili K, Kim TK, Jang HJ, Atri M. Negative Predictive Value of Contrast-Enhanced Ultrasound in Differentiating Avascular Solid-Appearing From Vascularized Masses: A Retrospective Consecutive Study. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2018; 37:2935-2942. [PMID: 29761521 DOI: 10.1002/jum.14659] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2018] [Revised: 03/21/2018] [Accepted: 03/21/2018] [Indexed: 06/08/2023]
Abstract
OBJECTIVES To determine the negative predictive value (NPV) of contrast-enhanced ultrasound (CEUS) to establish the lack of vascularity in a mass. METHODS This work was an Institutional Review Board-approved, Health Insurance Portability and Accountability Act-compliant retrospective study. Acquisition of consent was waived. We included all CEUS examinations performed for tissue characterization between 2004 and 2014 that reported showing no vascularity in a mass. Contrast-enhanced ultrasound findings were considered true-negative when there was stability on imaging for at least 1 year or no evidence of a solid mass, if biopsied, and false-negative if there was lesion growth on imaging within 12 months or an indication of a solid mass on the pathologic examination, if biopsied. One author reviewed all of the reports and follow-up examinations. We conducted a consensus review of all false-negative findings mixed with an equal number of true-negative findings by 2 reviewers, who were blinded to the final results. RESULTS The study population consisted of 97 CEUS examinations in 97 patients, including 48 women and 49 men (mean age ± SD, 65 ± 14 years). Examinations were performed for lesion characterization in the liver (n = 23), pancreas (n = 17), kidney (n = 54), 1 gallbladder, 1 adnexa, and 1 peritoneal lesion. The overall false-negative rate on the official prospective review was 2% (2 of 97). Two false-negative findings were correctly identified on the consensus review. The NPV of CEUS was 97.9% (95 of 97; 95% confidence interval, 93%- 99%) on the official review. CONCLUSIONS Contrast-enhanced ultrasound has a very high NPV to exclude the presence of flow in a mass, and it can be used to exclude the presence of a solid mass.
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Affiliation(s)
| | - Hassan Ahmad
- Joint Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | - Korosh Khalili
- Joint Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | - Tae Kyoung Kim
- Joint Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | - Huynh-Jung Jang
- Joint Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | - Mostafa Atri
- Joint Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
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23
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Liu X, Jang HJ, Khalili K, Kim TK, Atri M. Successful Integration of Contrast-enhanced US into Routine Abdominal Imaging. Radiographics 2018; 38:1454-1477. [DOI: 10.1148/rg.2018170152] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Xiaoyang Liu
- From the Department of Medical Imaging, University of Toronto, University Health Network, Toronto General Hospital, 585 University Ave, Toronto, ON, Canada M5G 2N2
| | - Hyun-Jung Jang
- From the Department of Medical Imaging, University of Toronto, University Health Network, Toronto General Hospital, 585 University Ave, Toronto, ON, Canada M5G 2N2
| | - Korosh Khalili
- From the Department of Medical Imaging, University of Toronto, University Health Network, Toronto General Hospital, 585 University Ave, Toronto, ON, Canada M5G 2N2
| | - Tae Kyoung Kim
- From the Department of Medical Imaging, University of Toronto, University Health Network, Toronto General Hospital, 585 University Ave, Toronto, ON, Canada M5G 2N2
| | - Mostafa Atri
- From the Department of Medical Imaging, University of Toronto, University Health Network, Toronto General Hospital, 585 University Ave, Toronto, ON, Canada M5G 2N2
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Abstract
Small renal masses are increasingly detected incidentally at imaging. They vary widely in histology and aggressiveness, and include benign renal tumors and renal cell carcinomas that can be either indolent or aggressive. Imaging plays a key role in the characterization of these small renal masses. While a confident diagnosis can be made in many cases, some renal masses are indeterminate at imaging and can present as diagnostic dilemmas for both the radiologists and the referring clinicians. This article will summarize the current evidence of imaging features that correlate with the biology of small solid renal masses, and discuss key approaches in imaging characterization of these masses using CT and MRI.
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Affiliation(s)
- Zhen J Wang
- 1 Department of Radiology and Biomedical Imaging, University of California San Francisco , San Francisco, CA , USA
| | - Antonio C Westphalen
- 1 Department of Radiology and Biomedical Imaging, University of California San Francisco , San Francisco, CA , USA
| | - Ronald J Zagoria
- 1 Department of Radiology and Biomedical Imaging, University of California San Francisco , San Francisco, CA , USA
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25
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Marcelin C, Ambrosetti D, Bernhard J, Roy C, Grenier N, Cornelis F. Percutaneous image-guided biopsies of small renal tumors: Current practice and perspectives. Diagn Interv Imaging 2017; 98:589-599. [DOI: 10.1016/j.diii.2017.07.008] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2017] [Revised: 07/19/2017] [Accepted: 07/24/2017] [Indexed: 12/30/2022]
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Krishna S, Murray CA, McInnes MD, Chatelain R, Siddaiah M, Al-Dandan O, Narayanasamy S, Schieda N. CT imaging of solid renal masses: pitfalls and solutions. Clin Radiol 2017; 72:708-721. [PMID: 28592361 DOI: 10.1016/j.crad.2017.05.003] [Citation(s) in RCA: 58] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2016] [Revised: 04/20/2017] [Accepted: 05/02/2017] [Indexed: 12/22/2022]
Abstract
Computed tomography (CT) remains the first-line imaging test for the characterisation of renal masses; however, CT has inherent limitations, which if unrecognised, may result in errors. The purpose of this manuscript is to present 10 pitfalls in the CT evaluation of solid renal masses. Thin section non-contrast enhanced CT (NECT) is required to confirm the presence of macroscopic fat and diagnosis of angiomyolipoma (AML). Renal cell carcinoma (RCC) can mimic renal cysts at NECT when measuring <20 HU, but are usually heterogeneous with irregular margins. Haemorrhagic cysts (HC) may simulate solid lesions at NECT; however, a homogeneous lesion measuring >70 HU is essentially diagnostic of HC. Homogeneous lesions measuring 20-70 HU at NECT or >20 HU at contrast-enhanced (CE) CT, are indeterminate, requiring further evaluation. Dual-energy CT (DECT) can accurately characterise these lesions at baseline through virtual NECT, iodine overlay images, or quantitative iodine concentration analysis without recalling the patient. A minority of hypo-enhancing renal masses (most commonly papillary RCC) show indeterminate or absent enhancement at multiphase CT. Follow-up, CE ultrasound or magnetic resonance imaging (MRI) is required to further characterise these lesions. Small (<3 cm) endophytic cysts commonly show pseudo-enhancement, which may simulate RCC; this can be overcome with DECT or MRI. In small (<4 cm) solid renal masses, 20% of lesions are benign, chiefly AML without visible fat or oncocytoma. Low-dose techniques may simulate lesion heterogeneity due to increased image noise, which can be ameliorated through the appropriate use of iterative reconstruction algorithms.
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Affiliation(s)
- S Krishna
- Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, Ottawa, Canada
| | - C A Murray
- Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, Ottawa, Canada
| | - M D McInnes
- Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, Ottawa, Canada
| | - R Chatelain
- Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, Ottawa, Canada
| | - M Siddaiah
- Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, Ottawa, Canada
| | - O Al-Dandan
- Department of Radiology, University of Dammam, Dammam, Saudi Arabia
| | - S Narayanasamy
- Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, Ottawa, Canada
| | - N Schieda
- Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, Ottawa, Canada.
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27
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Sabir S, Ahrar K, Matin SF. Predicting and Determining the Success of Percutaneous Ablation. J Urol 2016; 196:7-8. [PMID: 27086180 DOI: 10.1016/j.juro.2016.04.043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2016] [Indexed: 11/25/2022]
Affiliation(s)
- Sharjeel Sabir
- Department of Interventional Radiology, M.D. Anderson Cancer Center, Houston, Texas
| | - Kamran Ahrar
- Department of Interventional Radiology, M.D. Anderson Cancer Center, Houston, Texas
| | - Surena F Matin
- Department of Urology, M.D. Anderson Cancer Center, Houston, Texas
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