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Asmundo L, Rasmussen RG, Catalano OA. Urologic Imaging of the Kidneys: Cancers and Mimics. Urol Clin North Am 2025; 52:75-89. [PMID: 39537306 DOI: 10.1016/j.ucl.2024.07.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2024]
Abstract
Renal cell carcinoma (RCC) is a growing problem in global oncology, with a steadily increasing incidence, especially in developed regions. Its different histologic subtypes present different challenges in diagnosis and management. Advanced imaging techniques have a crucial role in distinguishing between these subtypes by highlighting unique radiographic features such as exophytic growth patterns, cystic components, and enhancement patterns. Practical suggestions discussed in this review include using chemical shift MRI to differentiate fat-poor angiomyolipomas from RCC, recognizing specific imaging markers such as pseudo-capsule in papillary RCC, and understanding the implications of negative pixel count in computed tomography scans.
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Affiliation(s)
- Luigi Asmundo
- Postgraduation School in Radiodiagnostics, Università degli Studi di Milano, Via Festa del Perdono 7, Milan 20122, Italy; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston 02114, MA, USA.
| | - Robert G Rasmussen
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston 02114, MA, USA
| | - Onofrio Antonio Catalano
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston 02114, MA, USA
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2
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Wu Q, Shao H, Zhai W, Huang G, Liu J, Calais J, Wei W. Molecular imaging of renal cell carcinomas: ready for prime time. Nat Rev Urol 2024:10.1038/s41585-024-00962-z. [PMID: 39543358 DOI: 10.1038/s41585-024-00962-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/17/2024] [Indexed: 11/17/2024]
Abstract
The clinical diagnosis of renal cell carcinoma (RCC) is constantly evolving. Diagnostic imaging of RCC relying on enhanced computed tomography (CT) and magnetic resonance imaging (MRI) is commonly used for renal mass characterization and assessment of tumour thrombosis, whereas pathology is the gold standard for establishing diagnosis. However, molecular imaging is rapidly improving the clinical management of RCC, particularly clear-cell RCC. Molecular imaging aids in the non-invasive visualization and characterization of specific biomarkers such as carbonic anhydrase IX and CD70 within the tumours, which help to assess tumour heterogeneity and status. Target-specific molecular imaging of RCCs will substantially improve the diagnostic landscape of RCC and will further facilitate clinical decision-making regarding initial staging and re-staging, monitoring of recurrence and metastasis, patient stratification and selection, and the prediction and evaluation of treatment responses.
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Affiliation(s)
- Qianyun Wu
- Department of Nuclear Medicine, Institute of Clinical Nuclear Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Hongda Shao
- Department of Nuclear Medicine, Institute of Clinical Nuclear Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Wei Zhai
- Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Gang Huang
- Department of Nuclear Medicine, Institute of Clinical Nuclear Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Jianjun Liu
- Department of Nuclear Medicine, Institute of Clinical Nuclear Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
| | - Jeremie Calais
- Ahmanson Translational Theranostics Division, Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
- Jonsson Comprehensive Cancer Center, University of California Los Angeles, Los Angeles, CA, USA.
| | - Weijun Wei
- Department of Nuclear Medicine, Institute of Clinical Nuclear Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
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Sordelli F, Tran M, Muselaers S, Campi R, Warren H. YAU renal cancer spotlight: does 99mTc-sestamibi challenge the current paradigm for small renal masses? Minerva Urol Nephrol 2024; 76:513-515. [PMID: 39051895 DOI: 10.23736/s2724-6051.24.05980-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/27/2024]
Affiliation(s)
- Federica Sordelli
- Urology Department, Specialist Centre for Kidney Cancer, Royal Free Hospital, London, UK
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
- Department of Urology, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Maxine Tran
- Urology Department, Specialist Centre for Kidney Cancer, Royal Free Hospital, London, UK
- Division of Surgery and Interventional Sciences, University College London, London, UK
| | - Stijn Muselaers
- Department of Urology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Riccardo Campi
- Unit of Urological Robotic Surgery and Renal Transplantation, Careggi Hospital, Florence, Italy
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | - Hannah Warren
- Urology Department, Specialist Centre for Kidney Cancer, Royal Free Hospital, London, UK -
- Division of Surgery and Interventional Sciences, University College London, London, UK
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4
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Yong C, Tong Y, Tann M, Sundaram CP. The impact of sestamibi scan on clinical decision-making for renal masses: An observational single-center study. Indian J Urol 2024; 40:151-155. [PMID: 39100604 PMCID: PMC11296591 DOI: 10.4103/iju.iju_436_23] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 03/08/2024] [Accepted: 03/19/2024] [Indexed: 08/06/2024] Open
Abstract
Introduction We aimed to determine whether sestamibi scan changes management of renal masses. Methods All patients undergoing sestamibi scan for renal masses between 2008 and 2022 at a single center were retrospectively reviewed. Data were gathered on patient demographics, pre- and postoperative creatinine, sestamibi scan parameters, and cross-sectional imaging characteristics. Outcomes included whether the patient underwent renal mass biopsy or surgical resection and the final pathological diagnosis if tissue was obtained from biopsy or resection. Data regarding postbiopsy as well as postoperative complications were also collected. The odds ratio (OR) for surgery or biopsy based on sestamibi result was calculated. Results Forty-three patients underwent sestamibi scan from 2008 to 2022, with 10 scans consistent with oncocytoma and 33 with nononcocytoma. The mean tumor size at initial presentation was 4.0 ± 1.8 cm with a median RENAL score of 7 (range: 4-11). For patients with sestamibi scans negative for oncocytoma, the OR for surgery was 12.5 (95% confidence interval [CI]: 2.1-71.2, P = 0.005), and the OR for biopsy was 0.04 (95% CI: 0.005-0.39, P = 0.005). Conversely, for patients with sestamibi scans positive for oncocytoma, the OR for surgery was 0.28 (95% CI: 0.03-2.4, P = 0.24) and the OR for biopsy was 24.0 (95% CI: 2.6-222.7, P = 0.005). Creatinine at the last follow-up was similar between patients with positive and negative sestamibi scans. No patients experienced complications from surgery or biopsy. The median follow-up was 19 months (range: 2-163). Conclusions A sestamibi scan positive for oncocytoma led to increased use of renal mass biopsy for confirmation. Sestamibi scans that were negative for oncocytoma were more likely to result in surgical resection without biopsy.
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Affiliation(s)
- Courtney Yong
- Department of Urology, Indiana University, Indianapolis, IN, USA
| | - Yan Tong
- Department of Biostatistics and Health Data Science, Indiana University, Indianapolis, IN, USA
| | - Mark Tann
- Department of Radiology, Indiana University, Indianapolis, IN, USA
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5
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Warren H, Fanshawe JB, Mok V, Iyer P, Chan VW, Hesketh R, Zimmermann E, Kasivisvanathan V, Emberton M, Tran MGB, Gurusamy K. Imaging modalities for characterising T1 renal tumours: A systematic review and meta-analysis of diagnostic accuracy. BJUI COMPASS 2024; 5:636-650. [PMID: 39022655 PMCID: PMC11249832 DOI: 10.1002/bco2.355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Accepted: 02/28/2024] [Indexed: 07/20/2024] Open
Abstract
Objectives International guidelines recommend resection of suspected localised renal cell carcinoma (RCC), with surgical series showing benign pathology in 30%. Non-invasive diagnostic tests to differentiate benign from malignant tumours are an unmet need. Our objective was to determine diagnostic accuracy of imaging modalities for detecting cancer in T1 renal tumours. Methods A systematic review was performed for reports of diagnostic accuracy of any imaging test compared to a reference standard of histopathology for T1 renal masses, from inception until January 2023. Twenty-seven publications (including 2277 tumours in 2044 participants) were included in the systematic review, and nine in the meta-analysis. Results Forest plots of sensitivity and specificity were produced for CT (seven records, 1118 participants), contrast-enhanced ultrasound (seven records, 197 participants), [99mTc]Tc-sestamibi SPECT/CT (five records, 263 participants), MRI (three records, 220 participants), [18F]FDG PET (four records, 43 participants), [68Ga]Ga-PSMA-11 PET (one record, 27 participants) and [111In]In-girentuximab SPECT/CT (one record, eight participants). Meta-analysis returned summary estimates of sensitivity and specificity for [99mTc]Tc-sestamibi SPECT/CT of 88.6% (95% CI 82.7%-92.6%) and 77.0% (95% CI 63.0%-86.9%) and for [18F]FDG PET 53.5% (95% CI 1.6%-98.8%) and 62.5% (95% CI 14.0%-94.5%), respectively. A comparison hierarchical summary receiver operating characteristic (HSROC) model did not converge. Meta-analysis was not performed for other imaging due to different thresholds for test positivity. Conclusion The optimal imaging strategy for T1 renal masses is not clear. [99mTc]Tc-sestamibi SPECT/CT is an emerging tool, but further studies are required to inform its role in clinical practice. The field would benefit from standardisation of diagnostic thresholds for CT, MRI and contrast-enhanced ultrasound to facilitate future meta-analyses.
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Affiliation(s)
- Hannah Warren
- Division of Surgery and Interventional ScienceUniversity College LondonLondonUK
- Royal Free Hospital Specialist Centre for Kidney CancerLondonUK
| | | | - Valerie Mok
- Faculty of MedicineUniversity of British ColumbiaVancouverCanada
| | - Priyanka Iyer
- Guy's, King's and St Thomas' School of Medical EducationKing's College LondonLondonUK
| | | | - Richard Hesketh
- Centre of Medical Imaging AUniversity College LondonLondonUK
| | | | | | - Mark Emberton
- Division of Surgery and Interventional ScienceUniversity College LondonLondonUK
| | - Maxine G. B. Tran
- Division of Surgery and Interventional ScienceUniversity College LondonLondonUK
- Royal Free Hospital Specialist Centre for Kidney CancerLondonUK
| | - Kurinchi Gurusamy
- Division of Surgery and Interventional ScienceUniversity College LondonLondonUK
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Bellin MF, Valente C, Bekdache O, Maxwell F, Balasa C, Savignac A, Meyrignac O. Update on Renal Cell Carcinoma Diagnosis with Novel Imaging Approaches. Cancers (Basel) 2024; 16:1926. [PMID: 38792005 PMCID: PMC11120239 DOI: 10.3390/cancers16101926] [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: 03/21/2024] [Revised: 05/06/2024] [Accepted: 05/14/2024] [Indexed: 05/26/2024] Open
Abstract
This review highlights recent advances in renal cell carcinoma (RCC) imaging. It begins with dual-energy computed tomography (DECT), which has demonstrated a high diagnostic accuracy in the evaluation of renal masses. Several studies have suggested the potential benefits of iodine quantification, particularly for distinguishing low-attenuation, true enhancing solid masses from hyperdense cysts. By determining whether or not a renal mass is present, DECT could avoid the need for additional imaging studies, thereby reducing healthcare costs. DECT can also provide virtual unenhanced images, helping to reduce radiation exposure. The review then provides an update focusing on the advantages of multiparametric magnetic resonance (MR) imaging performance in the histological subtyping of RCC and in the differentiation of benign from malignant renal masses. A proposed standardized stepwise reading of images helps to identify clear cell RCC and papillary RCC with a high accuracy. Contrast-enhanced ultrasound may represent a promising diagnostic tool for the characterization of solid and cystic renal masses. Several combined pharmaceutical imaging strategies using both sestamibi and PSMA offer new opportunities in the diagnosis and staging of RCC, but their role in risk stratification needs to be evaluated. Although radiomics and tumor texture analysis are hampered by poor reproducibility and need standardization, they show promise in identifying new biomarkers for predicting tumor histology, clinical outcomes, overall survival, and the response to therapy. They have a wide range of potential applications but are still in the research phase. Artificial intelligence (AI) has shown encouraging results in tumor classification, grade, and prognosis. It is expected to play an important role in assessing the treatment response and advancing personalized medicine. The review then focuses on recently updated algorithms and guidelines. The Bosniak classification version 2019 incorporates MRI, precisely defines previously vague imaging terms, and allows a greater proportion of masses to be placed in lower-risk classes. Recent studies have reported an improved specificity of the higher-risk categories and better inter-reader agreement. The clear cell likelihood score, which adds standardization to the characterization of solid renal masses on MRI, has been validated in recent studies with high interobserver agreement. Finally, the review discusses the key imaging implications of the 2017 AUA guidelines for renal masses and localized renal cancer.
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Affiliation(s)
- Marie-France Bellin
- Service de Radiologie Diagnostique et Interventionnelle, Hôpital de Bicêtre AP-HP, 78 Rue du Général Leclerc, 94275 Le Kremlin-Bicêtre, France; (C.V.); (O.B.); (F.M.); (A.S.); (O.M.)
- Faculté de Médecine, University of Paris-Saclay, 63 Rue Gabriel Péri, 94276 Le Kremlin-Bicêtre, France
- BioMaps, UMR1281 INSERM, CEA, CNRS, University of Paris-Saclay, 94805 Villejuif, France
| | - Catarina Valente
- Service de Radiologie Diagnostique et Interventionnelle, Hôpital de Bicêtre AP-HP, 78 Rue du Général Leclerc, 94275 Le Kremlin-Bicêtre, France; (C.V.); (O.B.); (F.M.); (A.S.); (O.M.)
| | - Omar Bekdache
- Service de Radiologie Diagnostique et Interventionnelle, Hôpital de Bicêtre AP-HP, 78 Rue du Général Leclerc, 94275 Le Kremlin-Bicêtre, France; (C.V.); (O.B.); (F.M.); (A.S.); (O.M.)
| | - Florian Maxwell
- Service de Radiologie Diagnostique et Interventionnelle, Hôpital de Bicêtre AP-HP, 78 Rue du Général Leclerc, 94275 Le Kremlin-Bicêtre, France; (C.V.); (O.B.); (F.M.); (A.S.); (O.M.)
| | - Cristina Balasa
- Service de Radiologie Diagnostique et Interventionnelle, Hôpital de Bicêtre AP-HP, 78 Rue du Général Leclerc, 94275 Le Kremlin-Bicêtre, France; (C.V.); (O.B.); (F.M.); (A.S.); (O.M.)
| | - Alexia Savignac
- Service de Radiologie Diagnostique et Interventionnelle, Hôpital de Bicêtre AP-HP, 78 Rue du Général Leclerc, 94275 Le Kremlin-Bicêtre, France; (C.V.); (O.B.); (F.M.); (A.S.); (O.M.)
| | - Olivier Meyrignac
- Service de Radiologie Diagnostique et Interventionnelle, Hôpital de Bicêtre AP-HP, 78 Rue du Général Leclerc, 94275 Le Kremlin-Bicêtre, France; (C.V.); (O.B.); (F.M.); (A.S.); (O.M.)
- Faculté de Médecine, University of Paris-Saclay, 63 Rue Gabriel Péri, 94276 Le Kremlin-Bicêtre, France
- BioMaps, UMR1281 INSERM, CEA, CNRS, University of Paris-Saclay, 94805 Villejuif, France
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Basile G, Fallara G, Verri P, Uleri A, Chiti A, Gianolli L, Pepe G, Tedde A, Algaba F, Territo A, Sanguedolce F, Larcher A, Gallioli A, Palou J, Montorsi F, Capitanio U, Breda A. The Role of 99mTc-Sestamibi Single-photon Emission Computed Tomography/Computed Tomography in the Diagnostic Pathway for Renal Masses: A Systematic Review and Meta-analysis. Eur Urol 2024; 85:63-71. [PMID: 37673752 DOI: 10.1016/j.eururo.2023.07.013] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 06/06/2023] [Accepted: 07/18/2023] [Indexed: 09/08/2023]
Abstract
CONTEXT The diagnostic accuracy of current imaging techniques in differentiating benign from malignant neoplasms in the case of indeterminate renal masses is still suboptimal. OBJECTIVE To evaluate the diagnostic accuracy of 99mTc-sestamibi (SestaMIBI) single-photon emission tomography computed tomography (SPECT)/CT in characterizing indeterminate renal masses by differentiating renal oncocytoma and hybrid oncocytic/chromophobe tumor (HOCT) from (1) all other renal lesions and (2) all malignant renal lesions. Secondary outcomes were: (1) benign versus malignant; (2) renal oncocytoma and HOCT versus clear cell (ccRCC) and papillary (pRCC) renal cell carcinoma; and (3) renal oncocytoma and HOCT versus chromophobe renal cell carcinoma (chRCC). EVIDENCE ACQUISITION A literature search was conducted up to November 2022 using the PubMed/MEDLINE, Embase, and Web of Science databases. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed to identify eligible studies. Studies included were prospective and retrospective cross-sectional studies in which SestaMIBI SPECT/CT findings were compared to histology after renal mass biopsy or surgery. EVIDENCE SYNTHESIS Overall, eight studies involving 489 patients with 501 renal masses met our inclusion criteria. The sensitivity and specificity of SestaMIBI SPECT/CT for renal oncocytoma and HOCT versus all other renal lesions were 89% (95% confidence interval [CI] 70-97%) and 89% (95% CI 86-92%), respectively. Notably, for renal oncocytoma and HOCT versus ccRCC and pRCC, SestaMIBI SPECT/CT showed specificity of 98% (95% CI 91-100%) and similar sensitivity. Owing to the relatively high risk of bias and the presence of heterogeneity among the studies included, the level of evidence is still low. CONCLUSIONS SestaMIBI SPECT/CT has good sensitivity and specificity in differentiating renal oncocytoma and HOCT from all other renal lesions, and in particular from those with more aggressive oncological behavior. Although these results are promising, further studies are needed to support the use of SestaMIBI SPECT/CT outside research trials. PATIENT SUMMARY A scan method called SestaMIBI SPECT/CT has promise for diagnosing whether kidney tumors are malignant or not. However, it should still be limited to research trials because the level of evidence from our review is low.
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Affiliation(s)
- Giuseppe Basile
- Department of Urology, Urological Research Institute, San Raffaele Scientific Institute, Milan, Italy; Department of Urology, Fundació Puigvert, Autonoma University of Barcelona, Barcelona, Spain.
| | - Giuseppe Fallara
- Department of Urology, IRCCS European Institute of Oncology, IEO, Milan, Italy
| | - Paolo Verri
- Department of Urology, Fundació Puigvert, Autonoma University of Barcelona, Barcelona, Spain
| | - Alessandro Uleri
- Department of Urology, Fundació Puigvert, Autonoma University of Barcelona, Barcelona, Spain
| | - Arturo Chiti
- Department of Nuclear Medicine, San Raffaele Scientific Institute, Milan, Italy
| | - Luigi Gianolli
- Department of Nuclear Medicine, San Raffaele Scientific Institute, Milan, Italy
| | - Gino Pepe
- Department of Nuclear Medicine, San Raffaele Scientific Institute, Milan, Italy
| | - Alessandro Tedde
- Department of Urology, Fundació Puigvert, Autonoma University of Barcelona, Barcelona, Spain; Department of Medicine, Surgery and Pharmacy, Università degli Studi di Sassari, Sassari, Italy
| | - Ferran Algaba
- Department of Pathology, Fundació Puigvert, Autonoma University of Barcelona, Barcelona, Spain
| | - Angelo Territo
- Department of Urology, Fundació Puigvert, Autonoma University of Barcelona, Barcelona, Spain
| | - Francesco Sanguedolce
- Department of Urology, Fundació Puigvert, Autonoma University of Barcelona, Barcelona, Spain; Department of Medicine, Surgery and Pharmacy, Università degli Studi di Sassari, Sassari, Italy
| | - Alessandro Larcher
- Department of Urology, Urological Research Institute, San Raffaele Scientific Institute, Milan, Italy
| | - Andrea Gallioli
- Department of Urology, Fundació Puigvert, Autonoma University of Barcelona, Barcelona, Spain
| | - Joan Palou
- Department of Urology, Fundació Puigvert, Autonoma University of Barcelona, Barcelona, Spain
| | - Francesco Montorsi
- Department of Urology, Urological Research Institute, San Raffaele Scientific Institute, Milan, Italy
| | - Umberto Capitanio
- Department of Urology, Urological Research Institute, San Raffaele Scientific Institute, Milan, Italy
| | - Alberto Breda
- Department of Urology, Fundació Puigvert, Autonoma University of Barcelona, Barcelona, Spain
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8
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Wilson MP, Haidey J, Murad MH, Sept L, Low G. Diagnostic accuracy of CT and MR features for detecting atypical lipomatous tumors and malignant liposarcomas: a systematic review and meta-analysis. Eur Radiol 2023; 33:8605-8616. [PMID: 37439933 DOI: 10.1007/s00330-023-09916-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 04/22/2023] [Accepted: 05/14/2023] [Indexed: 07/14/2023]
Abstract
OBJECTIVES This systematic review and meta-analysis evaluated the diagnostic accuracy of CT and MRI for differentiating atypical lipomatous tumors and malignant liposarcomas from benign lipomatous lesions. METHODS MEDLINE, EMBASE, Scopus, the Cochrane Library, and the gray literature from inception to January 2022 were systematically evaluated. Original studies with > 5 patients evaluating the accuracy of CT and/or MRI for detecting liposarcomas with a histopathological reference standard were included. Meta-analysis was performed using a bivariate mixed-effects regression model. Risk of bias was evaluated using Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2). This study is registered on PROSPERO, number CRD42022306479. RESULTS Twenty-six studies with a total of 2613 patients were included. Mean/median reported patient ages ranged between 50 and 63 years. The summary sensitivity and specificity of radiologist gestalt for detecting liposarcomas was 85% (79-90% 95% CI) and 63% (52-72%), respectively. Deep depth to fascia, thickened septations, enhancing components, and lesion size (≥ 10 cm) all demonstrated sensitivities ≥ 85%. Other imaging characteristics including heterogenous/amorphous signal intensity, irregular tumor margin, and nodules present demonstrated lower sensitivities ranging from 43 to 65%. Inter-reader reliability for radiologist gestalt within studies ranged from fair to substantial (k = 0.23-0.7). Risk of bias was predominantly mixed for patient selection, low for index test and reference standard, and unclear for flow and timing. CONCLUSION Higher sensitivities for detecting liposarcomas were achieved with radiologist gestalt, deep depth to fascia, thickened septations, enhancing components, and large size. Combined clinical and imaging scoring and/or radiomics both show promise for optimal performance, though require further analysis with prospective study designs. CLINICAL RELEVANCE This pooled analysis evaluates the accuracy of CT and MRI for detecting atypical lipomatous tumors and malignant liposarcomas. Radiologist gestalt, deep depth to fascia, thickened septations, enhancing components, and large size demonstrate the highest overall sensitivities. KEY POINTS • The summary sensitivity and specificity of radiologist gestalt for detecting liposarcomas was 85% (79-90% 95% CI) and 63% (52-72%), respectively. • Radiologist gestalt, deep depth to fascia, thickened septations, enhancing components, and large tumor size (≥ 10 cm) showed the highest sensitivities for detecting atypical lipomatous tumors/well-differentiated liposarcomas and malignant liposarcomas. • A combined clinical and imaging scoring system and/or radiomics is likely to provide the best overall diagnostic accuracy, although currently proposed scoring systems and radiomic feature analysis require further study with prospective study designs.
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Affiliation(s)
- Mitchell P Wilson
- Department of Radiology and Diagnostic Imaging, University of Alberta, 2B2.41 WMC, 8440-112 Street NW, Edmonton, AB, T6G 2B7, Canada.
| | - Jordan Haidey
- Department of Radiology and Diagnostic Imaging, University of Alberta, 2B2.41 WMC, 8440-112 Street NW, Edmonton, AB, T6G 2B7, Canada
| | - Mohammad H Murad
- Evidence-Based Practice Center, Mayo Clinic, Room 2-54, 2053Rd Ave SW, Rochester, MN, 55905, USA
| | - Logan Sept
- Department of Radiology and Diagnostic Imaging, University of Alberta, 2B2.41 WMC, 8440-112 Street NW, Edmonton, AB, T6G 2B7, Canada
| | - Gavin Low
- Department of Radiology and Diagnostic Imaging, University of Alberta, 2B2.41 WMC, 8440-112 Street NW, Edmonton, AB, T6G 2B7, Canada
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9
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Schawkat K, Krajewski KM. Insights into Renal Cell Carcinoma with Novel Imaging Approaches. Hematol Oncol Clin North Am 2023; 37:863-875. [PMID: 37302934 DOI: 10.1016/j.hoc.2023.05.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
This article presents a comprehensive overview of new imaging approaches and techniques for improving the assessment of renal masses and renal cell carcinoma. The Bosniak classification, version 2019, as well as the clear cell likelihood score, version 2.0, will be discussed as new imaging algorithms using established techniques. Additionally, newer modalities, such as contrast-enhanced ultrasound, dual energy computed tomography, and molecular imaging, will be discussed in conjunction with emerging radiomics and artificial intelligence techniques. Current diagnostic algorithms combined with newer approaches may be an effective way to overcome existing limitations in renal mass and RCC characterization.
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Affiliation(s)
- Khoschy Schawkat
- Brigham and Women's Hospital, 75 Francis Street, Boston, MA 02115, USA; Harvard Medical School
| | - Katherine M Krajewski
- Brigham and Women's Hospital, 75 Francis Street, Boston, MA 02115, USA; Harvard Medical School; Dana-Farber Cancer Institute, 440 Brookline Avenue, Building MA Floor L1 Room 04AC, Boston, MA 02215, USA.
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10
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Klontzas ME, Koltsakis E, Kalarakis G, Trpkov K, Papathomas T, Sun N, Walch A, Karantanas AH, Tzortzakakis A. A pilot radiometabolomics integration study for the characterization of renal oncocytic neoplasia. Sci Rep 2023; 13:12594. [PMID: 37537362 PMCID: PMC10400617 DOI: 10.1038/s41598-023-39809-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 07/31/2023] [Indexed: 08/05/2023] Open
Abstract
Differentiating benign renal oncocytic tumors and malignant renal cell carcinoma (RCC) on imaging and histopathology is a critical problem that presents an everyday clinical challenge. This manuscript aims to demonstrate a novel methodology integrating metabolomics with radiomics features (RF) to differentiate between benign oncocytic neoplasia and malignant renal tumors. For this purpose, thirty-three renal tumors (14 renal oncocytic tumors and 19 RCC) were prospectively collected and histopathologically characterised. Matrix-assisted laser desorption/ionisation mass spectrometry imaging (MALDI-MSI) was used to extract metabolomics data, while RF were extracted from CT scans of the same tumors. Statistical integration was used to generate multilevel network communities of -omics features. Metabolites and RF critical for the differentiation between the two groups (delta centrality > 0.1) were used for pathway enrichment analysis and machine learning classifier (XGboost) development. Receiver operating characteristics (ROC) curves and areas under the curve (AUC) were used to assess classifier performance. Radiometabolomics analysis demonstrated differential network node configuration between benign and malignant renal tumors. Fourteen nodes (6 RF and 8 metabolites) were crucial in distinguishing between the two groups. The combined radiometabolomics model achieved an AUC of 86.4%, whereas metabolomics-only and radiomics-only classifiers achieved AUC of 72.7% and 68.2%, respectively. Analysis of significant metabolite nodes identified three distinct tumour clusters (malignant, benign, and mixed) and differentially enriched metabolic pathways. In conclusion, radiometabolomics integration has been presented as an approach to evaluate disease entities. In our case study, the method identified RF and metabolites important in differentiating between benign oncocytic neoplasia and malignant renal tumors, highlighting pathways differentially expressed between the two groups. Key metabolites and RF identified by radiometabolomics can be used to improve the identification and differentiation between renal neoplasms.
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Affiliation(s)
- Michail E Klontzas
- Department of Medical Imaging, University Hospital of Heraklion, Crete, Heraklion, Greece
- Computational BioMedicine Laboratory, Institute of Computer Science, Foundation for Research and Technology (FORTH), Crete, Heraklion, Greece
- Department of Radiology, School of Medicine, University of Crete, Voutes Campus, Heraklion, Greece
- Division of Radiology, Department for Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, Stockholm, Sweden
| | - Emmanouil Koltsakis
- Department of Diagnostic Radiology, Karolinska University Hospital, Solna, Stockholm, Sweden
| | - Georgios Kalarakis
- Division of Radiology, Department for Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, Stockholm, Sweden
- Department of Diagnostic Radiology, Karolinska University Hospital, Huddinge, Stockholm, Sweden
- University of Crete, School of Medicine, 71500, Heraklion, Greece
| | - Kiril Trpkov
- Department of Pathology and Laboratory Medicine, Alberta Precision Labs, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Thomas Papathomas
- Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK
- Department of Clinical Pathology, Vestre Viken Hospital Trust, Drammen, Norway
| | - Na Sun
- Research Unit Analytical Pathology, German Research Center for Environmental Health, Helmholtz Zentrum München, Neuherberg, Germany
| | - Axel Walch
- Research Unit Analytical Pathology, German Research Center for Environmental Health, Helmholtz Zentrum München, Neuherberg, Germany
| | - Apostolos H Karantanas
- Department of Medical Imaging, University Hospital of Heraklion, Crete, Heraklion, Greece
- Computational BioMedicine Laboratory, Institute of Computer Science, Foundation for Research and Technology (FORTH), Crete, Heraklion, Greece
- Department of Radiology, School of Medicine, University of Crete, Voutes Campus, Heraklion, Greece
| | - Antonios Tzortzakakis
- Division of Radiology, Department for Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, Stockholm, Sweden.
- Medical Radiation Physics and Nuclear Medicine, Section for Nuclear Medicine, Karolinska University Hospital, Huddinge, C2:74, 14 186, Stockholm, Sweden.
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11
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Shetty AS, Fraum TJ, Ballard DH, Hoegger MJ, Itani M, Rajput MZ, Lanier MH, Cusworth BM, Mehrsheikh AL, Cabrera-Lebron JA, Chu J, Cunningham CR, Hirschi RS, Mokkarala M, Unteriner JG, Kim EH, Siegel CL, Ludwig DR. Renal Mass Imaging with MRI Clear Cell Likelihood Score: A User's Guide. Radiographics 2023; 43:e220209. [PMID: 37319026 DOI: 10.1148/rg.220209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Small solid renal masses (SRMs) are frequently detected at imaging. Nearly 20% are benign, making careful evaluation with MRI an important consideration before deciding on management. Clear cell renal cell carcinoma (ccRCC) is the most common renal cell carcinoma subtype with potentially aggressive behavior. Thus, confident identification of ccRCC imaging features is a critical task for the radiologist. Imaging features distinguishing ccRCC from other benign and malignant renal masses are based on major features (T2 signal intensity, corticomedullary phase enhancement, and the presence of microscopic fat) and ancillary features (segmental enhancement inversion, arterial-to-delayed enhancement ratio, and diffusion restriction). The clear cell likelihood score (ccLS) system was recently devised to provide a standardized framework for categorizing SRMs, offering a Likert score of the likelihood of ccRCC ranging from 1 (very unlikely) to 5 (very likely). Alternative diagnoses based on imaging appearance are also suggested by the algorithm. Furthermore, the ccLS system aims to stratify which patients may or may not benefit from biopsy. The authors use case examples to guide the reader through the evaluation of major and ancillary MRI features of the ccLS algorithm for assigning a likelihood score to an SRM. The authors also discuss patient selection, imaging parameters, pitfalls, and areas for future development. The goal is for radiologists to be better equipped to guide management and improve shared decision making between the patient and treating physician. © RSNA, 2023 Quiz questions for this article are available in the supplemental material. See the invited commentary by Pedrosa in this issue.
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Affiliation(s)
- Anup S Shetty
- From the Mallinckrodt Institute of Radiology (A.S.S., T.J.F., D.H.B., M.J.H., M.I., M.Z.R., M.H.L., B.M.C., A.L.M., J.A.C.L., J.C., C.R.C., R.S.H., M.M., J.G.U., C.L.S., D.R.L.) and Division of Urologic Surgery (E.H.K.), Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Tyler J Fraum
- From the Mallinckrodt Institute of Radiology (A.S.S., T.J.F., D.H.B., M.J.H., M.I., M.Z.R., M.H.L., B.M.C., A.L.M., J.A.C.L., J.C., C.R.C., R.S.H., M.M., J.G.U., C.L.S., D.R.L.) and Division of Urologic Surgery (E.H.K.), Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - David H Ballard
- From the Mallinckrodt Institute of Radiology (A.S.S., T.J.F., D.H.B., M.J.H., M.I., M.Z.R., M.H.L., B.M.C., A.L.M., J.A.C.L., J.C., C.R.C., R.S.H., M.M., J.G.U., C.L.S., D.R.L.) and Division of Urologic Surgery (E.H.K.), Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Mark J Hoegger
- From the Mallinckrodt Institute of Radiology (A.S.S., T.J.F., D.H.B., M.J.H., M.I., M.Z.R., M.H.L., B.M.C., A.L.M., J.A.C.L., J.C., C.R.C., R.S.H., M.M., J.G.U., C.L.S., D.R.L.) and Division of Urologic Surgery (E.H.K.), Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Malak Itani
- From the Mallinckrodt Institute of Radiology (A.S.S., T.J.F., D.H.B., M.J.H., M.I., M.Z.R., M.H.L., B.M.C., A.L.M., J.A.C.L., J.C., C.R.C., R.S.H., M.M., J.G.U., C.L.S., D.R.L.) and Division of Urologic Surgery (E.H.K.), Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Mohamed Z Rajput
- From the Mallinckrodt Institute of Radiology (A.S.S., T.J.F., D.H.B., M.J.H., M.I., M.Z.R., M.H.L., B.M.C., A.L.M., J.A.C.L., J.C., C.R.C., R.S.H., M.M., J.G.U., C.L.S., D.R.L.) and Division of Urologic Surgery (E.H.K.), Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Michael H Lanier
- From the Mallinckrodt Institute of Radiology (A.S.S., T.J.F., D.H.B., M.J.H., M.I., M.Z.R., M.H.L., B.M.C., A.L.M., J.A.C.L., J.C., C.R.C., R.S.H., M.M., J.G.U., C.L.S., D.R.L.) and Division of Urologic Surgery (E.H.K.), Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Brian M Cusworth
- From the Mallinckrodt Institute of Radiology (A.S.S., T.J.F., D.H.B., M.J.H., M.I., M.Z.R., M.H.L., B.M.C., A.L.M., J.A.C.L., J.C., C.R.C., R.S.H., M.M., J.G.U., C.L.S., D.R.L.) and Division of Urologic Surgery (E.H.K.), Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Amanda L Mehrsheikh
- From the Mallinckrodt Institute of Radiology (A.S.S., T.J.F., D.H.B., M.J.H., M.I., M.Z.R., M.H.L., B.M.C., A.L.M., J.A.C.L., J.C., C.R.C., R.S.H., M.M., J.G.U., C.L.S., D.R.L.) and Division of Urologic Surgery (E.H.K.), Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Jorge A Cabrera-Lebron
- From the Mallinckrodt Institute of Radiology (A.S.S., T.J.F., D.H.B., M.J.H., M.I., M.Z.R., M.H.L., B.M.C., A.L.M., J.A.C.L., J.C., C.R.C., R.S.H., M.M., J.G.U., C.L.S., D.R.L.) and Division of Urologic Surgery (E.H.K.), Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Jia Chu
- From the Mallinckrodt Institute of Radiology (A.S.S., T.J.F., D.H.B., M.J.H., M.I., M.Z.R., M.H.L., B.M.C., A.L.M., J.A.C.L., J.C., C.R.C., R.S.H., M.M., J.G.U., C.L.S., D.R.L.) and Division of Urologic Surgery (E.H.K.), Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Christopher R Cunningham
- From the Mallinckrodt Institute of Radiology (A.S.S., T.J.F., D.H.B., M.J.H., M.I., M.Z.R., M.H.L., B.M.C., A.L.M., J.A.C.L., J.C., C.R.C., R.S.H., M.M., J.G.U., C.L.S., D.R.L.) and Division of Urologic Surgery (E.H.K.), Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Ryan S Hirschi
- From the Mallinckrodt Institute of Radiology (A.S.S., T.J.F., D.H.B., M.J.H., M.I., M.Z.R., M.H.L., B.M.C., A.L.M., J.A.C.L., J.C., C.R.C., R.S.H., M.M., J.G.U., C.L.S., D.R.L.) and Division of Urologic Surgery (E.H.K.), Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Mahati Mokkarala
- From the Mallinckrodt Institute of Radiology (A.S.S., T.J.F., D.H.B., M.J.H., M.I., M.Z.R., M.H.L., B.M.C., A.L.M., J.A.C.L., J.C., C.R.C., R.S.H., M.M., J.G.U., C.L.S., D.R.L.) and Division of Urologic Surgery (E.H.K.), Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Jackson G Unteriner
- From the Mallinckrodt Institute of Radiology (A.S.S., T.J.F., D.H.B., M.J.H., M.I., M.Z.R., M.H.L., B.M.C., A.L.M., J.A.C.L., J.C., C.R.C., R.S.H., M.M., J.G.U., C.L.S., D.R.L.) and Division of Urologic Surgery (E.H.K.), Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Eric H Kim
- From the Mallinckrodt Institute of Radiology (A.S.S., T.J.F., D.H.B., M.J.H., M.I., M.Z.R., M.H.L., B.M.C., A.L.M., J.A.C.L., J.C., C.R.C., R.S.H., M.M., J.G.U., C.L.S., D.R.L.) and Division of Urologic Surgery (E.H.K.), Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Cary L Siegel
- From the Mallinckrodt Institute of Radiology (A.S.S., T.J.F., D.H.B., M.J.H., M.I., M.Z.R., M.H.L., B.M.C., A.L.M., J.A.C.L., J.C., C.R.C., R.S.H., M.M., J.G.U., C.L.S., D.R.L.) and Division of Urologic Surgery (E.H.K.), Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Daniel R Ludwig
- From the Mallinckrodt Institute of Radiology (A.S.S., T.J.F., D.H.B., M.J.H., M.I., M.Z.R., M.H.L., B.M.C., A.L.M., J.A.C.L., J.C., C.R.C., R.S.H., M.M., J.G.U., C.L.S., D.R.L.) and Division of Urologic Surgery (E.H.K.), Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
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12
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Ali AA, Sivathapandi T, Gupta R, Master VA, Marcus C. 99mTc-MIBI SPECT/CT Evaluation of a Renal Collision Tumor. Clin Nucl Med 2023; Publish Ahead of Print:00003072-990000000-00607. [PMID: 37335313 DOI: 10.1097/rlu.0000000000004729] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/21/2023]
Abstract
ABSTRACT Preoperative differentiation of oncocytomas from renal cell carcinoma (RCC) is often challenging. 99mTc-MIBI imaging could play a potential role in differentiating oncocytoma from RCC, which in turn could guide surgical decision-making. We present the use of 99mTc-MIBI SPECT/CT to characterize a renal mass in a 66-year-old man with a complex medical history, including history of bilateral oncocytomas. 99mTc-MIBI SPECT/CT showed features suspicious of a malignant tumor, which was confirmed postnephrectomy as a chromophobe and papillary RCC collision tumor. This case supports 99mTc-MIBI imaging for preoperative differentiation of benign versus malignant renal tumors.
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Affiliation(s)
| | | | - Ritu Gupta
- Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, GA
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13
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Molecular Imaging Diagnosis of Renal Cancer Using 99mTc-Sestamibi SPECT/CT and Girentuximab PET-CT-Current Evidence and Future Development of Novel Techniques. Diagnostics (Basel) 2023; 13:diagnostics13040593. [PMID: 36832081 PMCID: PMC9954934 DOI: 10.3390/diagnostics13040593] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 01/17/2023] [Accepted: 02/01/2023] [Indexed: 02/07/2023] Open
Abstract
Novel molecular imaging opportunities to preoperatively diagnose renal cell carcinoma is under development and will add more value in limiting the postoperative renal function loss and morbidity. We aimed to comprehensively review the research on single photon emission computed tomography/computed tomography (SPECT/CT) and positron emission tomography computed tomography (PET-CT) molecular imaging and to enhance the urologists' and radiologists' knowledge of the current research pattern. We identified an increase in prospective and also retrospective studies that researched to distinguish between benign and malignant lesions and between different clear cell renal cell carcinoma subtypes, with small numbers of patients studied, nonetheless with excellent results on specificity, sensitivity and accuracy, especially for 99mTc-sestamibi SPECT/CT that delivers quick results compared to a long acquisition time for girentuximab PET-CT, which instead gives better image quality. Nuclear medicine has helped clinicians in evaluating primary and secondary lesions, and has lately returned with new and exciting insights with novel radiotracers to reinforce its diagnostic potential in renal carcinoma. To further limit the renal function loss and post-surgery morbidity, future research is mandatory to validate the results and to clinically implement the diagnostic techniques in the context of precision medicine.
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14
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Branger N, Bigot P, Pignot G, Lorusso V, Audenet F, Parier B, Doumerc N, Brenier M, Xylinas E, Boissier R, Rouprêt M, Champy C, Nouhaud FX, Lang H, Charles T, Mallet R, Ambrosetti D, Bensalah K, Bernhard JC. Oncocytoma on renal mass biopsy: is it still the same histology when surgery is performed? Results from UroCCR-104 study. World J Urol 2023; 41:483-489. [PMID: 36633650 DOI: 10.1007/s00345-022-04261-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 12/08/2022] [Indexed: 01/13/2023] Open
Abstract
PURPOSE To describe clinical features of patients with oncocytoma on renal biopsy (RMB), correlation with final histology on surgically treated patients, and predictive factors of discrepancy between RMB and final histology. METHODS This was a retrospective study conducted in the framework of the UroCCR project (NCT03293563). All tumors with oncocytoma on RMB were selected and all pathological reports were reviewed. Patients with the RMB simultaneously performed with a focal treatment, synchronous bilateral tumors and ambiguous RMB report were excluded. Discrepancy between RMB and definitive histology was evaluated using a uni- and multivariable logistic regression analyses model. RESULTS Overall, 119 tumors with oncocytoma on RMB, from 15 centers, were included. Of those, 54 (45.4%) had upfront surgery and 65 (54.6%) had active surveillance (AS). In renal masses with initial active surveillance, with a median follow-up of 28 months, 23 (19.3%) underwent surgery, 4 (3.4%) received focal treatment and 38 (31.9%) remained on AS. On final pathology, only 51 of the 75 surgically treated tumors (68.0%) had oncocytoma, while 24 presented malignant tumors (mainly chromophobe carcinoma (19.2%), and hybrid oncocytic/chromophobe tumor (HOCT) (6.8%)) leading to a discrepancy of 32.0% between RMB and final pathology. The only predictive factor of a discrepancy between RMB and definitive histology was a biopsy done outside of the center (Odds ratio: 3.22 [95%-confidence interval: 1.08-9.61], p = 0.03). CONCLUSION Despite the increase of RMB in more and more centers, histologic discrepancy between RMB and definitive histology remains significant. This information should be discussed with patients and taken into consideration before treatment decision.
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Affiliation(s)
- Nicolas Branger
- Department of Urology, Institut Paoli Calmettes Cancer Center, Marseille, France.
| | - Pierre Bigot
- Department of Urology, CHU Angers, Angers, France
| | - Géraldine Pignot
- Department of Urology, Institut Paoli Calmettes Cancer Center, Marseille, France
| | - Vito Lorusso
- Department of Urology, Institut Paoli Calmettes Cancer Center, Marseille, France
| | - François Audenet
- Department of Urology, Hopital Européen Georges Pompidou, Paris, France
| | | | | | - Martin Brenier
- Department of Urology, Hopital Saint-Joseph, Paris, France
| | - Evanguelos Xylinas
- Department of Urology, Bichat-Claude Bernard Hospital, Assistance Publique Hôpitaux de Paris, Paris Cité University, Paris, France
| | | | - Morgan Rouprêt
- Department of Urology, La Pitié Salpêtrière, Paris, France
| | - Cecile Champy
- Department of Urology, Hopital Henri Mondor, Créteil, France
| | | | - Hervé Lang
- Department of Urology, CHU Strasbourg, Strasbourg, France
| | | | - Richard Mallet
- Department of Urology, Polyclinique Francheville, Périgueux, France
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15
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Warren H, Wagner T, Gorin MA, Rowe S, Holman BF, Pencharz D, El-Sheikh S, Barod R, Patki P, Mumtaz F, Bex A, Kasivisvanathan V, Moore CM, Campain N, Cartledge J, Scarsbrook A, Hassan F, O'Brien TS, Stewart GD, Mendichovszky I, Dizdarevic S, Alanbuki A, Wildgoose WH, Wah T, Vindrola-Padros C, Pizzo E, Dehbi HM, Lorgelly P, Gurusamy K, Emberton M, Tran MGB. Protocol for a MULTI-centre feasibility study to assess the use of 99mTc-sestaMIBI SPECT/CT in the diagnosis of kidney tumours (MULTI-MIBI study). BMJ Open 2023; 13:e067496. [PMID: 36693694 PMCID: PMC9884914 DOI: 10.1136/bmjopen-2022-067496] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
INTRODUCTION The incidence of renal tumours is increasing and anatomic imaging cannot reliably distinguish benign tumours from renal cell carcinoma. Up to 30% of renal tumours are benign, with oncocytomas the most common type. Biopsy has not been routinely adopted in many centres due to concerns surrounding non-diagnostic rate, bleeding and tumour seeding. As a result, benign masses are often unnecessarily surgically resected. 99mTc-sestamibi SPECT/CT has shown high diagnostic accuracy for benign renal oncocytomas and other oncocytic renal neoplasms of low malignant potential in single-centre studies. The primary aim of MULTI-MIBI is to assess feasibility of a multicentre study of 99mTc-sestamibi SPECT/CT against a reference standard of histopathology from surgical resection or biopsy. Secondary aims of the study include obtaining estimates of 99mTc-sestamibi SPECT/CT sensitivity and specificity and to inform the design and conduct of a future definitive trial. METHODS AND ANALYSIS A feasibility prospective multicentre study of participants with indeterminate, clinical T1 renal tumours to undergo 99mTc-sestamibi SPECT/CT (index test) compared with histopathology from biopsy or surgical resection (reference test). Interpretation of the index and reference tests will be blinded to the results of the other. Recruitment rate as well as estimates of sensitivity, specificity, positive and negative predictive value will be reported. Semistructured interviews with patients and clinicians will provide qualitative data to inform onward trial design and delivery. Training materials for 99mTc-sestamibi SPECT/CT interpretation will be developed, assessed and optimised. Early health economic modelling using a decision analytic approach for different diagnostic strategies will be performed to understand the potential cost-effectiveness of 99mTc-sestamibi SPECT/CT. ETHICS AND DISSEMINATION Ethical approval has been granted (UK HRA REC 20/YH/0279) protocol V.5.0 dated 21/6/2022. Study outputs will be presented and published nationally and internationally. TRIAL REGISTRATION NUMBER ISRCTN12572202.
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Affiliation(s)
- Hannah Warren
- Division of Surgery and Interventional Science, University College London, London, UK
- Specialist Centre for Kidney Cancer, Royal Free Hospital, London, UK
| | - Thomas Wagner
- Department of Nuclear Medicine, Royal Free Hospital, London, UK
| | - Michael A Gorin
- Milton and Carroll Petrie Department of Urology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Steven Rowe
- Department of Urology, The James Buchanan Brady Urological Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | | | | | - Soha El-Sheikh
- Specialist Centre for Kidney Cancer, Royal Free Hospital, London, UK
- Department of Pathology, Royal Free Hospital, London, UK
| | - Ravi Barod
- Division of Surgery and Interventional Science, University College London, London, UK
- Specialist Centre for Kidney Cancer, Royal Free Hospital, London, UK
| | - Prasad Patki
- Specialist Centre for Kidney Cancer, Royal Free Hospital, London, UK
| | - Faiz Mumtaz
- Division of Surgery and Interventional Science, University College London, London, UK
- Specialist Centre for Kidney Cancer, Royal Free Hospital, London, UK
| | - Axel Bex
- Division of Surgery and Interventional Science, University College London, London, UK
- Specialist Centre for Kidney Cancer, Royal Free Hospital, London, UK
| | - Veeru Kasivisvanathan
- Division of Surgery and Interventional Science, University College London, London, UK
| | - Caroline M Moore
- Division of Surgery and Interventional Science, University College London, London, UK
- Department of Urology, University College Hospital, London, UK
| | - Nicholas Campain
- Department of Urology, Royal Devon and Exeter NHS Foundation Trust, Exeter, UK
| | - Jon Cartledge
- Department of Urology, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Andrew Scarsbrook
- Department of Radiology, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Fahim Hassan
- Department of Nuclear Medicine, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Tim S O'Brien
- Department of Urology, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Grant D Stewart
- Department of Surgery, University of Cambridge, Cambridge, UK
| | - Iosif Mendichovszky
- Department of Radiology, University of Cambridge, Cambridge, UK
- Department of Nuclear Medicine, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Sabina Dizdarevic
- Department of Nuclear Medicine, University Hospitals Sussex NHS Foundation Trust, Worthing, UK
- Brighton and Sussex Medical School, Brighton, UK
| | - Ammar Alanbuki
- Department of Urology, University Hospitals Sussex NHS Foundation Trust, Worthing, UK
| | | | - Tze Wah
- Department of Radiology, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Cecilia Vindrola-Padros
- Rapid Research, Evaluation and Appraisal Lab (RREAL), Department of Targeted Intervention, University College London, London, UK
| | - Elena Pizzo
- Department of Applied Health Research, University College London, London, UK
| | - Hakim-Moulay Dehbi
- Institute of Clinical Trials and Methodology, University College London, London, UK
| | - Paula Lorgelly
- Department of Applied Health Research, University College London, London, UK
| | - Kurinchi Gurusamy
- Division of Surgery and Interventional Science, University College London, London, UK
| | - Mark Emberton
- Division of Surgery and Interventional Science, University College London, London, UK
- Department of Urology, University College Hospital, London, UK
| | - Maxine G B Tran
- Division of Surgery and Interventional Science, University College London, London, UK
- Specialist Centre for Kidney Cancer, Royal Free Hospital, London, UK
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16
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Parihar AS, Mhlanga J, Ronstrom C, Schmidt LR, Figenshau RS, Dehdashti F, Wahl RL. Diagnostic Accuracy of 99mTc-Sestamibi SPECT/CT for Characterization of Solid Renal Masses. J Nucl Med 2023; 64:90-95. [PMID: 35772963 DOI: 10.2967/jnumed.122.264329] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 06/22/2022] [Accepted: 06/22/2022] [Indexed: 01/06/2023] Open
Abstract
Our objective was to assess the diagnostic accuracy of 99mTc-sestamibi SPECT/CT for characterizing solid renal masses. Methods: Imaging and clinical records of patients who underwent 99mTc-sestamibi SPECT/CT for clinical work-up of their solid renal masses from September 2018 to October 2021 were retrospectively reviewed. Histopathology formed the reference standard, and the diagnoses were categorized as malignant/concerning (renal cell carcinomas [RCCs] other than chromophobe histology) and benign/nonconcerning (oncocytic tumors including chromophobe RCC, other benign diagnoses) to calculate the sensitivity and specificity of 99mTc-sestamibi SPECT/CT and contrast-enhanced CT (ceCT). The clinical reads of the SPECT/CT images were used for visual classification of the lesions. Additionally, the SPECT images were manually segmented to obtain the maximum and mean counts of the lesion and adjacent renal cortex and maximum and mean lesion Hounsfield units. Results: 99mTc-sestamibi SPECT/CT was performed on 42 patients with 62 renal masses. A histopathologic diagnosis was available for 27 patients (18 male, 9 female) with 36 solid renal masses. ceCT findings were available for 20 of these patients. The most commonly identified single histologic type was clear cell RCC (13/36; 36.1%). Oncocytic tumors were the most common group of nonconcerning lesions (15/36), with oncocytoma as the predominant histologic type (n = 6). The sensitivity and specificity of SPECT/CT for diagnosing a nonconcerning lesion were 66.7% and 89.5%, respectively, compared with 10% and 75%, respectively, for ceCT. The lesion-to-kidney ratios for maximum and mean counts and maximum lesion Hounsfield units showed significant differences between the 2 groups (P < 0.05). The lesion-to-kidney mean count ratio at a cutoff of 0.46 showed a sensitivity and specificity of 87.5% and 86.67%, respectively, for detecting nonconcerning lesions, which was significantly higher than that of ceCT. Conclusion: The current literature on the utility of 99mTc-sestamibi SPECT/CT for characterization of solid renal masses is limited. We offer additional evidence of the incremental value of 99mTc-sestamibi SPECT/CT over ceCT for differentiating malignant or aggressive renal tumors from benign or indolent ones, thereby potentially avoiding overtreatment and its associated complications. Quantitative assessment can further increase the diagnostic accuracy of SPECT/CT and may be used in conjunction with visual interpretation.
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Affiliation(s)
- Ashwin Singh Parihar
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri
| | - Joyce Mhlanga
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri.,Siteman Cancer Centre, Washington University School of Medicine, St. Louis, Missouri; and
| | - Carrie Ronstrom
- Siteman Cancer Centre, Washington University School of Medicine, St. Louis, Missouri; and.,Division of Urology, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri
| | - Lisa R Schmidt
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri
| | - Robert S Figenshau
- Siteman Cancer Centre, Washington University School of Medicine, St. Louis, Missouri; and.,Division of Urology, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri
| | - Farrokh Dehdashti
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri.,Siteman Cancer Centre, Washington University School of Medicine, St. Louis, Missouri; and
| | - Richard L Wahl
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri; .,Siteman Cancer Centre, Washington University School of Medicine, St. Louis, Missouri; and
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Warren H, Boydell A, Reza A, Pencharz D, Holman BF, El‐Sheikh S, Wildgoose WH, Barod R, Patki P, Mumtaz F, Bex A, Wagner T, Tran MGB. Use of 99m Tc-sestamibi SPECT/CT for indeterminate renal tumours: a pilot diagnostic accuracy study. BJU Int 2022; 130:748-750. [PMID: 36053273 PMCID: PMC9828690 DOI: 10.1111/bju.15879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Affiliation(s)
- Hannah Warren
- Division of Surgery and Interventional ScienceUniversity College LondonLondonUK,Royal Free Hospital Specialist Centre for Kidney CancerLondonUK
| | | | - Abbas Reza
- Royal Free Hospital Specialist Centre for Kidney CancerLondonUK
| | | | | | - Soha El‐Sheikh
- Royal Free Hospital Specialist Centre for Kidney CancerLondonUK
| | | | - Ravi Barod
- Division of Surgery and Interventional ScienceUniversity College LondonLondonUK,Royal Free Hospital Specialist Centre for Kidney CancerLondonUK
| | - Prasad Patki
- Royal Free Hospital Specialist Centre for Kidney CancerLondonUK
| | - Faiz Mumtaz
- Royal Free Hospital Specialist Centre for Kidney CancerLondonUK
| | - Axel Bex
- Royal Free Hospital Specialist Centre for Kidney CancerLondonUK
| | - Thomas Wagner
- Royal Free Hospital Nuclear Medicine DepartmentLondonUK
| | - Maxine G. B. Tran
- Division of Surgery and Interventional ScienceUniversity College LondonLondonUK,Royal Free Hospital Specialist Centre for Kidney CancerLondonUK
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18
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Vijay V, Vokshi FH, Smigelski M, Nagpal S, Huang WC. Incidence of benign renal masses in a contemporary cohort of patients receiving partial nephrectomy for presumed renal cell carcinoma. Clin Genitourin Cancer 2022; 21:e114-e118. [DOI: 10.1016/j.clgc.2022.11.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 11/07/2022] [Accepted: 11/11/2022] [Indexed: 11/19/2022]
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19
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Tzortzakakis A, Papathomas T, Gustafsson O, Gabrielson S, Trpkov K, Ekström-Ehn L, Arvanitis A, Holstensson M, Karlsson M, Kokaraki G, Axelsson R. 99mTc-Sestamibi SPECT/CT and histopathological features of oncocytic renal neoplasia. Scand J Urol 2022; 56:375-382. [PMID: 36065481 DOI: 10.1080/21681805.2022.2119273] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
BACKGROUND 99mTc-Sestamibi Single Photon Emission Computed Tomography/Computed Tomography (SPECT/CT) contributes to the non-invasive differentiation of renal oncocytoma (RO) from renal cell carcinoma (RCC) by characterising renal tumours as Sestamibi positive or Sestamibi negative regarding their 99mTc-Sestamibi uptake compared to the non-tumoral renal parenchyma. PURPOSE To determine whether 99mTc- Sestamibi uptake in renal tumour and the non-tumoral renal parenchyma measured using Standard Uptake Value (SUV) SPECT, has a beneficial role in differentiating RO from RCC. MATERIAL AND METHODS Fifty-seven renal tumours from 52 patients were evaluated. In addition to visual evaluation of 99mTc-Sestamibi uptake, SUVmax measurements were performed in the renal tumour and the ipsilateral non-tumoral renal parenchyma. Analysis of the area under the receiver operating characteristic curve identified an optimal cut-off value for detecting RO, based on the relative ratio of 99mTc- Sestamibi uptake. RESULTS Semiquantitative evaluation of 99mTc-Sestamibi uptake did not improve the performance of 99mTc- Sestamibi SPECT/CT in detecting RO. 99mTc- Sestamibi SPECT/CT identifies a group of mostly indolent Sestamibi-positive tumours with low malignant potential containing RO, Low-Grade Oncocytic Tumours, Hybrid Oncocytic Tumours, and a subset of chromophobe RCCs. CONCLUSION The imaging limitations for accurate differentiation of Sestamibi-positive renal tumours mirror the recognised diagnostic complexities of the histopathologic evaluation of oncocytic neoplasia. Patients with Sestamibi-positive renal tumours could be better suited for biopsy and follow-up, according to the current active surveillance protocols.
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Affiliation(s)
- Antonios Tzortzakakis
- Division of Radiology, Department for Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, Solna, Sweden.,Medical Radiation Physics and Nuclear Medicine, Functional Unit of Nuclear Medicine, Karolinska University Hospital, Huddinge, Sweden
| | - Thomas Papathomas
- Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, United Kingdom.,Gloucestershire Cellular Pathology Laboratory, Cheltenham General Hospital, Gloucestershire Hospitals NHS Foundation Trust, Cheltenham, United Kingdom
| | - Ove Gustafsson
- Division of Urology, Karolinska University Hospital, Huddinge, Sweden
| | - Stefan Gabrielson
- Division of Radiology, Department for Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, Solna, Sweden.,Medical Radiation Physics and Nuclear Medicine, Functional Unit of Nuclear Medicine, Karolinska University Hospital, Huddinge, Sweden
| | - Kiril Trpkov
- Department of Pathology and Laboratory Medicine, Alberta Precision Labs, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | | | - Alexandros Arvanitis
- Department of Clinical Pathology and Cytology, Karolinska University Hospital, Huddinge, Stockholm, Sweden
| | - Maria Holstensson
- Medical Radiation Physics and Nuclear Medicine, Functional Unit of Nuclear Medicine, Karolinska University Hospital, Huddinge, Sweden.,Division of Function and Technology, Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet
| | - Mattias Karlsson
- Medical Radiation Physics and Nuclear Medicine, Functional Unit of Nuclear Medicine, Karolinska University Hospital, Huddinge, Sweden
| | - Georgia Kokaraki
- Division of Radiology, Department for Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, Solna, Sweden.,Department of Clinical Pathology and Cytology, Karolinska University Hospital, Huddinge, Stockholm, Sweden
| | - Rimma Axelsson
- Division of Radiology, Department for Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, Solna, Sweden.,Medical Radiation Physics and Nuclear Medicine, Functional Unit of Nuclear Medicine, Karolinska University Hospital, Huddinge, Sweden
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20
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Abstract
The authors define molecular imaging, according to the Society of Nuclear Medicine and Molecular Imaging, as the visualization, characterization, and measurement of biological processes at the molecular and cellular levels in humans and other living systems. Although practiced for many years clinically in nuclear medicine, expansion to other imaging modalities began roughly 25 years ago and has accelerated since. That acceleration derives from the continual appearance of new and highly relevant animal models of human disease, increasingly sensitive imaging devices, high-throughput methods to discover and optimize affinity agents to key cellular targets, new ways to manipulate genetic material, and expanded use of cloud computing. Greater interest by scientists in allied fields, such as chemistry, biomedical engineering, and immunology, as well as increased attention by the pharmaceutical industry, have likewise contributed to the boom in activity in recent years. Whereas researchers and clinicians have applied molecular imaging to a variety of physiologic processes and disease states, here, the authors focus on oncology, arguably where it has made its greatest impact. The main purpose of imaging in oncology is early detection to enable interception if not prevention of full-blown disease, such as the appearance of metastases. Because biochemical changes occur before changes in anatomy, molecular imaging-particularly when combined with liquid biopsy for screening purposes-promises especially early localization of disease for optimum management. Here, the authors introduce the ways and indications in which molecular imaging can be undertaken, the tools used and under development, and near-term challenges and opportunities in oncology.
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Affiliation(s)
- Steven P. Rowe
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Martin G. Pomper
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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21
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PET-CT in Clinical Adult Oncology-IV. Gynecologic and Genitourinary Malignancies. Cancers (Basel) 2022; 14:cancers14123000. [PMID: 35740665 PMCID: PMC9220973 DOI: 10.3390/cancers14123000] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 06/06/2022] [Accepted: 06/08/2022] [Indexed: 01/04/2023] Open
Abstract
Simple Summary Positron emission tomography (PET), typically combined with computed tomography (CT), has become a critical advanced imaging technique in oncology. With concurrently acquired positron emission tomography and computed tomography (PET-CT), a radioactive molecule (radiotracer) is injected in the bloodstream and localizes to sites of tumor because of specific cellular features of the tumor that accumulate the targeting radiotracer. The CT scan provides information to allow better visualization of radioactivity from deep or dense structures and to provide detailed anatomic information. PET-CT has a variety of applications in oncology, including staging, therapeutic response assessment, restaging and surveillance. This series of six review articles provides an overview of the value, applications, and imaging interpretive strategies for PET-CT in the more common adult malignancies. The fourth report in this series provides a review of PET-CT imaging in gynecologic and genitourinary malignancies. Abstract Concurrently acquired positron emission tomography and computed tomography (PET-CT) is an advanced imaging modality with diverse oncologic applications, including staging, therapeutic assessment, restaging and longitudinal surveillance. This series of six review articles focuses on providing practical information to providers and imaging professionals regarding the best use and interpretative strategies of PET-CT for oncologic indications in adult patients. In this fourth article of the series, the more common gynecological and adult genitourinary malignancies encountered in clinical practice are addressed, with an emphasis on Food and Drug Administration (FDA)-approved and clinically available radiopharmaceuticals. The advent of new FDA-approved radiopharmaceuticals for prostate cancer imaging has revolutionized PET-CT imaging in this important disease, and these are addressed in this report. However, [18F]F-fluoro-2-deoxy-d-glucose (FDG) remains the mainstay for PET-CT imaging of gynecologic and many other genitourinary malignancies. This information will serve as a guide for the appropriate role of PET-CT in the clinical management of gynecologic and genitourinary cancer patients for health care professionals caring for adult cancer patients. It also addresses the nuances and provides guidance in the accurate interpretation of FDG PET-CT in gynecological and genitourinary malignancies for imaging providers, including radiologists, nuclear medicine physicians and their trainees.
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22
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Wilson MP, Katlariwala P, Abele J, Low G. A review of 99mTc-sestamibi SPECT/CT for renal oncocytomas: A modified diagnostic algorithm. Intractable Rare Dis Res 2022; 11:46-51. [PMID: 35702579 PMCID: PMC9161129 DOI: 10.5582/irdr.2022.01027] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 04/25/2022] [Accepted: 04/28/2022] [Indexed: 12/11/2022] Open
Abstract
99mTc-sestamibi SPECT/CT is a promising nuclear medicine imaging investigation for benign renal lesions such as renal oncocytomas. The purpose of this article is to i) review the current literature on 99mTc-sestamibi SPECT/CT, ii) to review to current application of 99mTc-sestamibi SPECT/CT for indeterminate renal lesion imaging, and iii) to discuss present limitations and areas for future research. The literature has been reviewed up to April 2022 for articles relating to the application of 99mTc-sestamibi SPECT/CT for benign renal lesions including a recently published systematic review and meta-analysis performed by the authors. One study evaluating 99mTc-sestamibi SPECT alone and five studies evaluating 99mTc-sestamibi SPECT/CT have been performed to date. 99mTc-sestamibi SPECT/CT demonstrates high sensitivity and specificity for detecting benign renal lesions, particularly renal oncocytomas. 99mTc-sestamibi SPECT/CT demonstrates near-perfect specificity for benign and low-grade renal lesions. The optimal quantified threshold ratio for tumor-to-background renal parenchyma radiotracer uptake for a positive result is > 0.6. In this article, we propose a modified diagnostic algorithm for small enhancing renal masses measuring 1-4 cm in which suspected benign lesions after conventional imaging are considered for 99mTc-sestamibi SPECT-CT. In this algorithm, positive studies can be monitored with active surveillance rather than requiring invasive biopsy and/or targeted therapy.
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Affiliation(s)
- Mitchell P Wilson
- Address correspondence to:Mitchell P Wilson, Department of Radiology and Diagnostic Imaging, University of Alberta, 2B2.41 WMC, 8440-112 Street NW, T6G 2B7, Edmonton, Alberta, Canada.
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23
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Renal oncocytoma: a challenging diagnosis. Curr Opin Oncol 2022; 34:243-252. [DOI: 10.1097/cco.0000000000000829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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24
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Gopee-Ramanan P, Chin SS, Lim C, Shanbhogue KP, Schieda N, Krishna S. Renal Neoplasms in Young Adults. Radiographics 2022; 42:433-450. [PMID: 35230920 DOI: 10.1148/rg.210138] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Renal cell carcinoma (RCC) is usually diagnosed in older adults (the median age of diagnosis is 64 years). Although less common in patients younger than 45 years, RCCs in young adults differ in clinical manifestation, pathologic diagnosis, and prognosis. RCCs in young adults are typically smaller, are more organ confined, and manifest at lower stages of disease. The proportion of clear cell RCC is lower in young adults, while the prevalence of familial renal neoplastic syndromes is much higher, and genetic testing is routinely recommended. In such syndromic manifestations, benign-appearing renal cysts can harbor malignancy. Radiologists need to be familiar with the differences of RCCs in young adults and apply an altered approach to diagnosis, treatment, and surveillance. For sporadic renal neoplasms, biopsy and active surveillance are less often used in young adults than in older adults. RCCs in young adults are overall associated with better disease-specific survival after surgical treatment, and minimally invasive nephron-sparing treatment options are preferred. However, surveillance schedules, need for biopsy, decision for an initial period of active surveillance, type of surgery (enucleation or wide-margin partial nephrectomy), and utilization of ablative therapy depend on the presence and type of underlying familial renal neoplastic syndrome. In this pictorial review, syndromic, nonsyndromic, and newer RCC entities that are common in young adults are presented. Their associated unique epidemiology, characteristic imaging and pathologic traits, and key aspects of surveillance and management of renal neoplasms in young adults are discussed. The vital role of the informed radiologist in the multidisciplinary management of RCCs in young adults is highlighted. Online supplemental material is available for this article. ©RSNA, 2022.
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Affiliation(s)
- Prasaanthan Gopee-Ramanan
- From the Department of Medical Imaging, University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, 200 Elizabeth St, Toronto, ON, Canada M5G 2C4 (P.G.R., S.S.C., S.K.); Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ont, Canada (C.L.); Department of Radiology, NYU Langone Medical Center, New York, NY (K.P.S.); and Department of Radiology, The Ottawa Hospital, University of Ottawa, Ottawa, Ont, Canada (N.S.)
| | - Sook Suzy Chin
- From the Department of Medical Imaging, University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, 200 Elizabeth St, Toronto, ON, Canada M5G 2C4 (P.G.R., S.S.C., S.K.); Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ont, Canada (C.L.); Department of Radiology, NYU Langone Medical Center, New York, NY (K.P.S.); and Department of Radiology, The Ottawa Hospital, University of Ottawa, Ottawa, Ont, Canada (N.S.)
| | - Chris Lim
- From the Department of Medical Imaging, University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, 200 Elizabeth St, Toronto, ON, Canada M5G 2C4 (P.G.R., S.S.C., S.K.); Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ont, Canada (C.L.); Department of Radiology, NYU Langone Medical Center, New York, NY (K.P.S.); and Department of Radiology, The Ottawa Hospital, University of Ottawa, Ottawa, Ont, Canada (N.S.)
| | - Krishna P Shanbhogue
- From the Department of Medical Imaging, University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, 200 Elizabeth St, Toronto, ON, Canada M5G 2C4 (P.G.R., S.S.C., S.K.); Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ont, Canada (C.L.); Department of Radiology, NYU Langone Medical Center, New York, NY (K.P.S.); and Department of Radiology, The Ottawa Hospital, University of Ottawa, Ottawa, Ont, Canada (N.S.)
| | - Nicola Schieda
- From the Department of Medical Imaging, University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, 200 Elizabeth St, Toronto, ON, Canada M5G 2C4 (P.G.R., S.S.C., S.K.); Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ont, Canada (C.L.); Department of Radiology, NYU Langone Medical Center, New York, NY (K.P.S.); and Department of Radiology, The Ottawa Hospital, University of Ottawa, Ottawa, Ont, Canada (N.S.)
| | - Satheesh Krishna
- From the Department of Medical Imaging, University Health Network, Sinai Health System, Women's College Hospital, University of Toronto, 200 Elizabeth St, Toronto, ON, Canada M5G 2C4 (P.G.R., S.S.C., S.K.); Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ont, Canada (C.L.); Department of Radiology, NYU Langone Medical Center, New York, NY (K.P.S.); and Department of Radiology, The Ottawa Hospital, University of Ottawa, Ottawa, Ont, Canada (N.S.)
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25
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Too Hot to Handle, Too Cold to Care: The Future of Renal Mass Imaging. Eur Urol 2022; 81:489-491. [DOI: 10.1016/j.eururo.2022.02.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 02/09/2022] [Indexed: 11/23/2022]
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26
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Yin Q, Xu H, Zhong Y, Ni J, Hu S. Diagnostic performance of MRI, SPECT, and PET in detecting renal cell carcinoma: a systematic review and meta-analysis. BMC Cancer 2022; 22:163. [PMID: 35148700 PMCID: PMC8840296 DOI: 10.1186/s12885-022-09239-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2021] [Accepted: 01/24/2022] [Indexed: 11/30/2022] Open
Abstract
Background Renal cell carcinoma (RCC) is one of the most common malignancies worldwide. Noninvasive imaging techniques, such as magnetic resonance imaging (MRI), single photon emission computed tomography (SPECT), and positron emission tomography (PET), have been involved in increasing evolution to detect RCC. This meta-analysis aims to compare to compare the performance of MRI, SPECT, and PET in the detection of RCC in humans, and to provide evidence for decision-making in terms of further research and clinical settings. Methods Electronic databases including PubMed, Web of Science, Embase, and Cochrane Library were systemically searched. The keywords such as “magnetic resonance imaging”, “MRI”, “single-photon emission computed tomography”, “SPECT”, “positron emission tomography”, “PET”, “renal cell carcinoma” were used for the search. Studies concerning MRI, SPECT, and PET for the detection of RCC were included. Pooled sensitivity, specificity, and the area under the summary receiver operating characteristic (SROC) curve (AUC), etc. were calculated. Results A total of 44 articles were finally detected for inclusion in this study. The pooled sensitivities of MRI, 18F-FDG PET and 18F-FDG PET/CT were 0.80, 0.83, and 0.89, respectively. Their respective overall specificities were 0.90, 0.86, and 0.88. The pooled sensitivity and specificity of MRI studies at 1.5 T were 0.86 and 0.94, respectively. With respect to prospective PET studies, the pooled sensitivity, specificity and AUC were 0.90, 0.93 and 0.97, respectively. In the detection of primary RCC, PET studies manifested a pooled sensitivity, specificity, and AUC of 0.77, 0.80, and 0.84, respectively. The pooled sensitivity, specificity, and AUC of PET/CT studies in detecting primary RCC were 0.80, 0.85, and 0.89. Conclusion Our study manifests that MRI and PET/CT present better diagnostic value for the detection of RCC in comparison with PET. MRI is superior in the diagnosis of primary RCC.
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Affiliation(s)
- Qihua Yin
- Department of Radiology, Wuxi No. 2 People's Hospital Affiliated to Nanjing Medical University, Address: No. 68, Zhongshan Rd., Wuxi, 214002, Jiangsu Province, China
| | - Huiting Xu
- Department of Radiology, Wuxi No. 2 People's Hospital Affiliated to Nanjing Medical University, Address: No. 68, Zhongshan Rd., Wuxi, 214002, Jiangsu Province, China
| | - Yanqi Zhong
- Department of Radiology, Affiliated Hospital of Jiangnan University, No. 1000, Hefeng Road, Wuxi, 214122, China
| | - Jianming Ni
- Department of Radiology, Wuxi No. 2 People's Hospital Affiliated to Nanjing Medical University, Address: No. 68, Zhongshan Rd., Wuxi, 214002, Jiangsu Province, China. .,Shanghai Key Laboratory of Molecular Imaging, Shanghai University of Medicine and Health Sciences, Shanghai, 201318, China.
| | - Shudong Hu
- Department of Radiology, Affiliated Hospital of Jiangnan University, No. 1000, Hefeng Road, Wuxi, 214122, China.
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27
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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: 25] [Impact Index Per Article: 8.3] [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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Miller J, Campain N, Boydell A, Warren H, Vito I, Neves J, Mumtaz F, Bex A, El‐Shiekh S, Wagner T, Tran MGB. ‘Case of the Month’ from the Specialist Centre for Kidney Cancer, Royal Free London Hospital, UK:
99m
Tc‐sestamibi SPECT‐CT to differentiate renal cell carcinoma from benign oncocytoma. BJU Int 2021; 129:28-31. [DOI: 10.1111/bju.15652] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 11/12/2021] [Accepted: 11/19/2021] [Indexed: 01/19/2023]
Affiliation(s)
- Jonjo Miller
- Department of Nuclear Medicine Royal Free Hospital LondonUK
| | - Nicholas Campain
- Specialist Centre for Kidney Cancer Royal Free Hospital LondonUK
| | | | - Hannah Warren
- Specialist Centre for Kidney Cancer Royal Free Hospital LondonUK
| | - Ivy Vito
- Department of Nuclear Medicine Royal Free Hospital LondonUK
| | - Joana Neves
- Division of Surgery and Interventional Science University College London LondonUK
| | - Faiz Mumtaz
- Specialist Centre for Kidney Cancer Royal Free Hospital LondonUK
| | - Axel Bex
- Specialist Centre for Kidney Cancer Royal Free Hospital LondonUK
- Division of Surgery and Interventional Science University College London LondonUK
| | - Soha El‐Shiekh
- Department Cellular Pathology Royal Free Hospital London UK
| | - Thomas Wagner
- Department of Nuclear Medicine Royal Free Hospital LondonUK
| | - Maxine G. B. Tran
- Specialist Centre for Kidney Cancer Royal Free Hospital LondonUK
- Division of Surgery and Interventional Science University College London LondonUK
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Laird A, Armitage J. Active surveillance for renal oncocytoma is likely to be safe, but there are many unanswered questions. BJU Int 2021; 128:655-656. [PMID: 34856059 DOI: 10.1111/bju.15565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Revised: 08/06/2021] [Accepted: 08/09/2021] [Indexed: 11/27/2022]
Affiliation(s)
- Alexander Laird
- Department of Urology, Western General Hospital, Edinburgh, UK.,Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK
| | - James Armitage
- Department of Urology, Addenbrooke's Hospital, Cambridge, UK
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Schieda N, Krishna S, Pedrosa I, Kaffenberger SD, Davenport MS, Silverman SG. Active Surveillance of Renal Masses: The Role of Radiology. Radiology 2021; 302:11-24. [PMID: 34812670 DOI: 10.1148/radiol.2021204227] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Active surveillance of renal masses, which includes serial imaging with the possibility of delayed treatment, has emerged as a viable alternative to immediate therapeutic intervention in selected patients. Active surveillance is supported by evidence that many benign masses are resected unnecessarily, and treatment of small cancers has not substantially reduced cancer-specific mortality. These data are a call to radiologists to improve the diagnosis of benign renal masses and differentiate cancers that are biologically aggressive (prompting treatment) from those that are indolent (allowing treatment deferral). Current evidence suggests that active surveillance results in comparable cancer-specific survival with a low risk of developing metastasis. Radiology is central in this. Imaging is used at the outset to estimate the probability of malignancy and degree of aggressiveness in malignant masses and to follow up masses for growth and morphologic change. Percutaneous biopsy is used to provide a more definitive histologic diagnosis and to guide treatment decisions, including whether active surveillance is appropriate. Emerging applications that may improve imaging assessment of renal masses include standardized assessment of cystic and solid masses and radiomic analysis. This article reviews the current and future role of radiology in the care of patients with renal masses undergoing active surveillance.
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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.); Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, Toronto, Canada (S.K.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Departments of Urology (S.D.K., M.S.D.) and Radiology (M.S.D.), Michigan Medicine, University of Michigan, Ann Arbor, Mich; 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.); Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, Toronto, Canada (S.K.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Departments of Urology (S.D.K., M.S.D.) and Radiology (M.S.D.), Michigan Medicine, University of Michigan, Ann Arbor, Mich; 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.); Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, Toronto, Canada (S.K.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Departments of Urology (S.D.K., M.S.D.) and Radiology (M.S.D.), Michigan Medicine, University of Michigan, Ann Arbor, Mich; and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S.)
| | - Samuel D Kaffenberger
- From the Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, 1053 Carling Ave, Ottawa, ON, Canada K1H 1H6 (N.S.); Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, Toronto, Canada (S.K.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Departments of Urology (S.D.K., M.S.D.) and Radiology (M.S.D.), Michigan Medicine, University of Michigan, Ann Arbor, Mich; 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.); Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, Toronto, Canada (S.K.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Departments of Urology (S.D.K., M.S.D.) and Radiology (M.S.D.), Michigan Medicine, University of Michigan, Ann Arbor, Mich; 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.); Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, Toronto, Canada (S.K.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (I.P.); Departments of Urology (S.D.K., M.S.D.) and Radiology (M.S.D.), Michigan Medicine, University of Michigan, Ann Arbor, Mich; and Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (S.G.S.)
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31
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Masic S, Strother M, Kidd LC, Egleston B, Braun A, Srivastava A, Smaldone M, Milestone B, Parsons R, Viterbo R, Greenberg R, Chen D, Kutikov A, Uzzo R. Feasibility and Outcomes of Renal Mass Biopsy for Anatomically Complex Renal Tumors. Urology 2021; 158:125-130. [PMID: 34380055 DOI: 10.1016/j.urology.2021.07.026] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 07/06/2021] [Accepted: 07/25/2021] [Indexed: 11/29/2022]
Abstract
OBJECTIVE To compare the feasibility and outcomes of renal mass biopsies (RMB) of anatomically complex vs non-complex renal masses. METHODS Our institutional renal tumor database was queried for patients who underwent RMB between 2005 and 2019 and with available nephrometry score. Complex masses were: (1) small (<2 cm), (2) entirely endophytic (nephrometry E=3), (3) hilar (h) or (4) partially endophytic (E=2) and anterior. Demographic and pathologic data were compared. Biopsies were deemed adequate if they resulted in a diagnosis. Concordance with surgical pathology was assessed. These were both presented using proportions. Factors associated with biopsy outcomes were identified using multivariable logistic regression. RMB sensitivity and specificity were calculated using contingency methods. RESULTS A total of 306 RBMs were included, 179 complex and 127 non-complex. A total of 199 (65%) had an extirpative procedure. Complex lesions were less likely to have an adequate biopsy (89% vs 96%, P = .03), and to be concordant with final surgical pathology from an oncologic standpoint (89% vs 97%, P = .03). There was no significant difference in concordance of histology (76% vs 86%, P = .10) or grade (48 vs 51%, P = .66). On multivariable analyses, only male gender was associated with biopsy adequacy (OR 3.31, 95% CI 1.28-8.55, P = .01). Our overall sensitivity was 93%, specificity 93%, and accuracy 93%. There were no significant differences over time in biopsy outcomes during the study period. CONCLUSION RMB of complex lesions is associated with excellent diagnostic yield, albeit lower than non-complex lesions. RMB should not be deferred in cases of anatomically complex lesions where additional data could improve clinical decision-making.
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Affiliation(s)
- Selma Masic
- The Department of Surgery, Division of Urologic Oncology, Fox Chase Cancer Center - Temple Health, Philadelphia, PA
| | - Marshall Strother
- The Department of Surgery, Division of Urologic Oncology, Fox Chase Cancer Center - Temple Health, Philadelphia, PA
| | - Laura C Kidd
- The Department of Surgery, Division of Urologic Oncology, Fox Chase Cancer Center - Temple Health, Philadelphia, PA
| | - Brian Egleston
- The Department of Biostatistics, Fox Chase Cancer Center - Temple Health, Philadelphia, PA
| | - Avery Braun
- The Department of Surgery, Division of Urologic Oncology, Fox Chase Cancer Center - Temple Health, Philadelphia, PA
| | - Abhishek Srivastava
- The Department of Surgery, Division of Urologic Oncology, Fox Chase Cancer Center - Temple Health, Philadelphia, PA
| | - Marc Smaldone
- The Department of Surgery, Division of Urologic Oncology, Fox Chase Cancer Center - Temple Health, Philadelphia, PA
| | - Barton Milestone
- The Department of Radiology, Fox Chase Cancer Center - Temple Health, Philadelphia, PA
| | - Rosaleen Parsons
- The Department of Radiology, Fox Chase Cancer Center - Temple Health, Philadelphia, PA
| | - Rosalia Viterbo
- The Department of Surgery, Division of Urologic Oncology, Fox Chase Cancer Center - Temple Health, Philadelphia, PA
| | - Richard Greenberg
- The Department of Surgery, Division of Urologic Oncology, Fox Chase Cancer Center - Temple Health, Philadelphia, PA
| | - David Chen
- The Department of Surgery, Division of Urologic Oncology, Fox Chase Cancer Center - Temple Health, Philadelphia, PA
| | - Alexander Kutikov
- The Department of Surgery, Division of Urologic Oncology, Fox Chase Cancer Center - Temple Health, Philadelphia, PA
| | - Robert Uzzo
- The Department of Surgery, Division of Urologic Oncology, Fox Chase Cancer Center - Temple Health, Philadelphia, PA.
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Meyer AR, Rowe SP, Singla N. Re: Patrick D. McGillivray, Daiki Ueno, Aydin Pooli, et al. Distinguishing Benign Renal Tumors with an Oncocytic Gene Expression (ONEX) Classifier. Eur Urol 2021;79:107-11: Integrating 99mTc-sestamibi and ONEX to Optimize Risk Stratification for Renal Masses. Eur Urol 2021; 80:e20-e21. [PMID: 33947592 DOI: 10.1016/j.eururo.2021.04.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Accepted: 04/15/2021] [Indexed: 10/21/2022]
Affiliation(s)
- Alexa R Meyer
- Department of Urology, The James Buchanan Brady Urological Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Steven P Rowe
- Department of Urology, The James Buchanan Brady Urological Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Nirmish Singla
- Department of Urology, The James Buchanan Brady Urological Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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Diagnostic Accuracy of MRI for the Detection of Malignant Peripheral Nerve Sheath Tumors: A Systematic Review and Meta-Analysis. AJR Am J Roentgenol 2021; 217:31-39. [PMID: 33909462 DOI: 10.2214/ajr.20.23403] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
OBJECTIVE. This systematic review and meta-analysis evaluates the diagnostic accuracy of MRI for differentiating malignant (MPNSTs) from benign peripheral nerve sheath tumors (BPNSTs). MATERIALS AND METHODS. A systematic review of MEDLINE, Embase, Scopus, the Cochrane Library, and the gray literature from inception to December 2019 was performed. Original articles that involved at least 10 patients and that evaluated the accuracy of MRI for detecting MPNSTs were included. Two reviewers independently extracted clinical and radiologic data from included articles to calculate sensitivity, specificity, PPV, NPV, and accuracy. A meta-analysis was performed using a bivariate mixed-effects regression model. Risk of bias was evaluated using QUADAS-2. RESULTS. Fifteen studies involving 798 lesions (252 MPNSTs and 546 BPNSTs) were included in the analysis. Pooled and weighted sensitivity, specificity, and AUC values for MRI in detecting MPNSTs were 68% (95% CI, 52-80%), 93% (95% CI, 85-97%), and 0.89 (95% CI, 0.86-0.92) when using feature combination and 88% (95% CI, 74-95%), 94% (95% CI, 89-96%), and 0.97 (95% CI, 0.95-0.98) using diffusion restriction with or without feature combination. Subgroup analysis, such as patients with neurofibromatosis type 1 (NF1) versus those without NF1, could not be performed because of insufficient data. Risk of bias was predominantly high or unclear for patient selection, mixed for index test, low for reference standard, and unclear for flow and timing. CONCLUSION. Combining features such as diffusion restriction optimizes the diagnostic accuracy of MRI for detecting MPNSTs. However, limitations in the literature, including variability and risk of bias, necessitate additional methodologically rigorous studies to allow subgroup analysis and further evaluate the combination of clinical and MRI features for MPNST diagnosis.
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Kalarakis G, Brehmer K, Svensson A, Axelsson R, Brismar TB, Tzortzakakis A. Combining contrast-enhanced ultrasound, CT perfusion and 99mTc-Sestamibi SPECT/CT to guide diagnosis in a case of solid renal tumour. BJR Case Rep 2021; 7:20200115. [PMID: 33614118 PMCID: PMC7869121 DOI: 10.1259/bjrcr.20200115] [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: 07/07/2020] [Revised: 08/24/2020] [Accepted: 08/25/2020] [Indexed: 11/11/2022] Open
Abstract
Definitive, pre-operative differentiation of solid renal lesions by ultrasound, contrast-enhanced multiphasic CT or MRI examinations is often not possible. An increasing amount of literature indicates the added value of 99mTc-Sestamibi SPECT/CT, CT perfusion and contrast-enhanced ultrasound in the pre-operative characterisation of solid renal tumours. This case report presents the diagnostic approach of a solid renal tumour that turned out to be a hybrid oncocytic chromophobe tumour in a patient with Stage 3 renal failure by combining the three aforementioned modern examination techniques.
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Affiliation(s)
- Georgios Kalarakis
- Department of Radiology, Karolinska University Hospital, Huddinge, Stockholm, Sweden
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35
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Sistani G, Bjazevic J, Kassam Z, Romsa J, Pautler S. The value of 99mTc-sestamibi single-photon emission computed tomography-computed tomography in the evaluation and risk stratification of renal masses. Can Urol Assoc J 2020; 15:197-201. [PMID: 33212002 DOI: 10.5489/cuaj.6708] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
INTRODUCTION Differentiation of renal cell carcinoma (RCC) from oncocytoma is a common diagnostic dilemma. A few studies have shown that 99mTc-sestamibi (MIBI) imaging has the potential to characterize indeterminate renal masses. This comparative study evaluated the utility of MIBI single-photon emission computed tomography-computed tomography (SPECT-CT) in the assessment and risk stratification of renal masses. METHODS A total of 29 patients with 31 renal masses who had cross-sectional imaging and MIBI SPECT-CT were included. Lesions were categorized as either MIBI-positive or -negative on SPECT-CT. Individual lesion density ranged from 22-56 Hounsfield units (HU) on the non-contrast CT part of SPECT-CT. Quantitative relative MIBI uptake was calculated by measuring tumor to ipsilateral renal parenchymal uptake. The imaging results were correlated with histopathology. RESULTS All oncocytic lesions, including seven oncocytomas and one hybrid oncocytic chromophobe tumor (100%), were positive on MIBI. One chromophobe RCC showed low-grade MIBI uptake. The remaining RCC subtypes, including 15 clear-cell, four papillary, two mixed clear-cell and papillary, and one chromophobe, were MIBI-negative. The quantitative relative tumor uptake showed statistically significant higher uptake in the low-risk/oncocytic lesions compared to RCCs. CONCLUSIONS This study demonstrates that MIBI SPECT-CT is valuable in the characterization of indeterminate renal masses. The combination of MIBI uptake on SPECT and lesion density on non-contrast CT can be used for risk stratification of renal masses. This technique may reduce the need for further imaging (multiphasic CT or magnetic resonance imaging), renal mass biopsy, or surgical resection of low-risk renal masses. Subsequently, more patients could be followed with active surveillance.
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Affiliation(s)
| | | | - Zahra Kassam
- London Health Sciences Centre, London, ON, Canada
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