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Wang K, Guo B, Yao Z, Li G. Clinical T1/2 renal cell carcinoma: multiparametric dynamic contrast-enhanced MRI features-based model for the prediction of individual adverse pathology. World J Surg Oncol 2024; 22:145. [PMID: 38822338 PMCID: PMC11143715 DOI: 10.1186/s12957-024-03431-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Accepted: 05/27/2024] [Indexed: 06/02/2024] Open
Abstract
BACKGROUND The detection of renal cell carcinoma (RCC) has been rising due to the enhanced utilization of cross-sectional imaging and incidentally discovered lesions with adverse pathology demonstrate potential for metastasis. The purpose of our study was to determine the clinical and multiparametric dynamic contrast-enhanced magnetic resonance imaging (CEMRI) associated independent predictors of adverse pathology for cT1/2 RCC and develop the predictive model. METHODS We recruited 105 cT1/2 RCC patients between 2018 and 2022, all of whom underwent preoperative CEMRI and had complete clinicopathological data. Adverse pathology was defined as RCC patients with nuclear grade III-IV; pT3a upstage; type II papillary RCC, collecting duct or renal medullary carcinoma, unclassified RCC; sarcomatoid/rhabdoid features. The qualitative and quantitative CEMRI parameters were independently reviewed by two radiologists. Univariate and multivariate binary logistic regression analyses were utilized to determine the independent predictors of adverse pathology for cT1/2 RCC and construct the predictive model. The receiver operating characteristic (ROC) curve, confusion matrix, calibration plot, and decision curve analysis (DCA) were conducted to compare the diagnostic performance of different predictive models. The individual risk scores and linear predicted probabilities were calculated for risk stratification, and the Kaplan-Meier curve and log-rank tests were used for survival analysis. RESULTS Overall, 45 patients were pathologically confirmed as RCC with adverse pathology. Clinical characteristics, including gender, and CEMRI parameters, including RENAL score, tumor margin irregularity, necrosis, and tumor apparent diffusion coefficient (ADC) value were identified as independent predictors of adverse pathology for cT1/2 RCC. The clinical-CEMRI predictive model yielded an area under the curve (AUC) of the ROC curve of 0.907, which outperformed the clinical model or CEMRI signature model alone. Good calibration, better clinical usefulness, excellent risk stratification ability of adverse pathology and prognosis were also achieved for the clinical-CEMRI predictive model. CONCLUSIONS The proposed clinical-CEMRI predictive model offers the potential for preoperative prediction of adverse pathology for cT1/2 RCC. With the ability to forecast adverse pathology, the predictive model could significantly benefit patients and clinicians alike by providing enhanced guidance for treatment planning and decision-making.
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Affiliation(s)
- Keruo Wang
- Department of Urology, Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, 300211, China
| | - Baoyin Guo
- Department of Urology, Tianjin Baodi Hospital, Baodi Clinical College of Tianjin Medical University, Tianjin, 301800, China
| | - Zhili Yao
- Department of Urology, Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, 300211, China
| | - Gang Li
- Department of Urology, Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, 300211, China.
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2
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Sadaghiani MS, Baskaran S, Gorin MA, Rowe SP, Provost JC, Teslenko I, Bilyk R, An H, Sheikhbahaei S. Utility of PSMA PET/CT in Staging and Restaging of Renal Cell Carcinoma: A Systematic Review and Metaanalysis. J Nucl Med 2024:jnumed.124.267417. [PMID: 38782453 DOI: 10.2967/jnumed.124.267417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 04/29/2024] [Indexed: 05/25/2024] Open
Abstract
Prostate-specific membrane antigen (PSMA) is expressed in the neovasculature of multiple solid tumors, including renal cell carcinoma (RCC). Studies have demonstrated promising results on the utility of PSMA-targeted PET/CT imaging in RCC. This report aims to provide a systematic review and metaanalysis on the utility and detection rate of PSMA PET/CT imaging in staging or evaluation of primary RCC and restaging of metastatic or recurrent RCC. Methods: Searches were performed in PubMed, Embase, and abstract proceedings (last updated, August 2023). Studies that provided a lesion-level detection rate of PSMA radiotracers in staging or restaging of RCC were included in the metaanalysis. The overall pooled detection rate with a 95% CI was estimated, and subgroup analysis was performed when feasible. Results: Nine studies comprising 152 patients (133 clear cell RCC [ccRCC], 19 other RCC subtypes) were included in the metaanalysis. The pooled detection rate of PSMA PET/CT in evaluation of primary or metastatic RCC was estimated to be 0.83 (95% CI, 0.67-0.92). Subgroup analysis showed a pooled PSMA detection rate of 0.74 (95% CI, 0.57-0.86) in staging or evaluation of primary RCC lesions and 0.87 (95% CI, 0.73-0.95) in restaging of metastatic or recurrent RCC. Analysis based on the type of radiotracer showed a pooled detection rate of 0.85 (95% CI, 0.62-0.95) for 68Ga-based PSMA tracers and 0.92 (95% CI, 0.76-0.97) for 18F-DCFPyL PET/CT. Furthermore, in metastatic ccRCC, the available data support a significantly higher detection rate for 18F-DCFPyL PET/CT than for conventional imaging modalities (2 studies). Conclusion: Our preliminary results show that PSMA PET/CT could be a promising alternative imaging modality for evaluating RCC, particularly metastatic ccRCC. Large prospective studies are warranted to confirm clinical utility in the staging and restaging of RCC.
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Affiliation(s)
- Moe S Sadaghiani
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | | | - Michael A Gorin
- Milton and Carroll Petrie Department of Urology, Icahn School of Medicine at Mount Sinai, New York, New York; and
| | - Steven P Rowe
- Department of Radiology, University of North Carolina School of Medicine, Chapel Hill, North Carolina
| | | | | | | | - Hong An
- Lantheus, Bedford, Massachusetts
| | - Sara Sheikhbahaei
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland;
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Wen Z, Li Y, Zhao Z, Li R, Li X, Lu C, Sun C, Chen W, Ge Z, Ni L, Lai Y. A serum panel of three microRNAs may serve as possible biomarkers for kidney renal clear cell carcinoma. Cancer Cell Int 2024; 24:18. [PMID: 38191389 PMCID: PMC10773017 DOI: 10.1186/s12935-023-03187-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Accepted: 12/21/2023] [Indexed: 01/10/2024] Open
Abstract
BACKGROUND Although non-invasive radiological techniques are widely applied in kidney renal clear cell carcinoma (KIRC) diagnosis, more than 50% of KIRCs are detected incidentally during the diagnostic procedures to identify renal cell carcinoma (RCC). Thus, sensitive and accurate KIRC diagnostic methods are required. Therefore, in this study, we aimed to identify KIRC-associated microRNAs (miRNAs). METHODS This three-phase study included 224 participants (112 each of patients with KIRC and healthy controls (NCs)). RT-qPCR was used to evaluate miRNA expression in KIRC and NC samples. Receiver operating characteristic (ROC) curves and the area under the ROC curve (AUC) were used to predict the usefulness of serum miRNAs in KIRC diagnosis. In addition, we performed survival and bioinformatics analyses. RESULTS We found that miR-1-3p, miR-129-5p, miR-146b-5p, miR-187-3p, and miR-200a-3p were significantly differentially expressed in patients with KIRC. A panel consisting of three miRNAs (miR-1-3p, miR-129-5p, and miR-146b-5p) had an AUC of 0.895, ranging from 0.848 to 0.942. In addition, using the GEPIA database, we found that the miRNAs were associated with CREB5. According to the survival analysis, miR-146b-5p overexpression was indicative of a poorer prognosis in patients with KIRC. CONCLUSIONS The identified three-miRNA panel could serve as a non-invasive indicator for KIRC and CREB5 as a potential target gene for KIRC treatment.
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Affiliation(s)
- Zhenyu Wen
- Guangdong and Shenzhen Key Laboratory of Reproductive Medicine and Genetics, Department of Urology, Peking University Shenzhen Hospital, 1120 Lianhua Road, Shenzhen, 518036, Guangdong, People's Republic of China
- Shantou University Medical College, Shantou, 515063, Guangdong, China
| | - Yingqi Li
- Guangdong and Shenzhen Key Laboratory of Reproductive Medicine and Genetics, Department of Urology, Peking University Shenzhen Hospital, 1120 Lianhua Road, Shenzhen, 518036, Guangdong, People's Republic of China
- Shenzhen University, Shenzhen, 518055, Guangdong, China
| | - Zhengping Zhao
- Guangdong and Shenzhen Key Laboratory of Reproductive Medicine and Genetics, Department of Urology, Peking University Shenzhen Hospital, 1120 Lianhua Road, Shenzhen, 518036, Guangdong, People's Republic of China
| | - Rongkang Li
- Guangdong and Shenzhen Key Laboratory of Reproductive Medicine and Genetics, Department of Urology, Peking University Shenzhen Hospital, 1120 Lianhua Road, Shenzhen, 518036, Guangdong, People's Republic of China
- Anhui Medical University, Hefei, 230032, Anhui, China
| | - Xinji Li
- Guangdong and Shenzhen Key Laboratory of Reproductive Medicine and Genetics, Department of Urology, Peking University Shenzhen Hospital, 1120 Lianhua Road, Shenzhen, 518036, Guangdong, People's Republic of China
- Shantou University Medical College, Shantou, 515063, Guangdong, China
| | - Chong Lu
- Guangdong and Shenzhen Key Laboratory of Reproductive Medicine and Genetics, Department of Urology, Peking University Shenzhen Hospital, 1120 Lianhua Road, Shenzhen, 518036, Guangdong, People's Republic of China
- Anhui Medical University, Hefei, 230032, Anhui, China
| | - Chen Sun
- Guangdong and Shenzhen Key Laboratory of Reproductive Medicine and Genetics, Department of Urology, Peking University Shenzhen Hospital, 1120 Lianhua Road, Shenzhen, 518036, Guangdong, People's Republic of China
- Anhui Medical University, Hefei, 230032, Anhui, China
| | - Wenkang Chen
- Guangdong and Shenzhen Key Laboratory of Reproductive Medicine and Genetics, Department of Urology, Peking University Shenzhen Hospital, 1120 Lianhua Road, Shenzhen, 518036, Guangdong, People's Republic of China
- Shantou University Medical College, Shantou, 515063, Guangdong, China
| | - Zhenjian Ge
- Guangdong and Shenzhen Key Laboratory of Reproductive Medicine and Genetics, Department of Urology, Peking University Shenzhen Hospital, 1120 Lianhua Road, Shenzhen, 518036, Guangdong, People's Republic of China
- Shantou University Medical College, Shantou, 515063, Guangdong, China
| | - Liangchao Ni
- Guangdong and Shenzhen Key Laboratory of Reproductive Medicine and Genetics, Department of Urology, Peking University Shenzhen Hospital, 1120 Lianhua Road, Shenzhen, 518036, Guangdong, People's Republic of China.
| | - Yongqing Lai
- Guangdong and Shenzhen Key Laboratory of Reproductive Medicine and Genetics, Department of Urology, Peking University Shenzhen Hospital, 1120 Lianhua Road, Shenzhen, 518036, Guangdong, People's Republic of China.
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Semenescu LE, Tataranu LG, Dricu A, Ciubotaru GV, Radoi MP, Rodriguez SMB, Kamel A. A Neurosurgical Perspective on Brain Metastases from Renal Cell Carcinoma: Multi-Institutional, Retrospective Analysis. Biomedicines 2023; 11:2485. [PMID: 37760926 PMCID: PMC10526360 DOI: 10.3390/biomedicines11092485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 09/02/2023] [Accepted: 09/05/2023] [Indexed: 09/29/2023] Open
Abstract
BACKGROUND While acknowledging the generally poor prognostic features of brain metastases from renal cell carcinoma (BM RCC), it is important to be aware of the fact that neurosurgery still plays a vital role in managing this disease, even though we have entered an era of targeted therapies. Notwithstanding their initial high effectiveness, these agents often fail, as tumors develop resistance or relapse. METHODS The authors of this study aimed to evaluate patients presenting with BM RCC and their outcomes after being treated in the Neurosurgical Department of Clinical Emergency Hospital "Bagdasar-Arseni", and the Neurosurgical Department of the National Institute of Neurology and Neurovascular Diseases, Bucharest, Romania. The study is based on a thorough appraisal of the patient's demographic and clinicopathological data and is focused on the strategic role of neurosurgery in BM RCC. RESULTS A total of 24 patients were identified with BM RCC, of whom 91.6% had clear-cell RCC (ccRCC) and 37.5% had a prior nephrectomy. Only 29.1% of patients harbored extracranial metastases, while 83.3% had a single BM RCC. A total of 29.1% of patients were given systemic therapy. Neurosurgical resection of the BM was performed in 23 out of 24 patients. Survival rates were prolonged in patients who underwent nephrectomy, in patients who received systemic therapy, and in patients with a single BM RCC. Furthermore, higher levels of hemoglobin were associated in our study with a higher number of BMs. CONCLUSION Neurosurgery is still a cornerstone in the treatment of symptomatic BM RCC. Among the numerous advantages of neurosurgical intervention, the most important is represented by the quick reversal of neurological manifestations, which in most cases can be life-saving.
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Affiliation(s)
- Liliana Eleonora Semenescu
- Department of Biochemistry, Faculty of Medicine, University of Medicine and Pharmacy of Craiova, Str. Petru Rares nr. 2–4, 710204 Craiova, Romania; (L.E.S.); (A.D.)
| | - Ligia Gabriela Tataranu
- Neurosurgical Department, Clinical Emergency Hospital “Bagdasar-Arseni”, Soseaua Berceni 12, 041915 Bucharest, Romania; (G.V.C.); (S.M.B.R.); (A.K.)
- Department of Neurosurgery, Faculty of Medicine, University of Medicine and Pharmacy “Carol Davila”, 020022 Bucharest, Romania
| | - Anica Dricu
- Department of Biochemistry, Faculty of Medicine, University of Medicine and Pharmacy of Craiova, Str. Petru Rares nr. 2–4, 710204 Craiova, Romania; (L.E.S.); (A.D.)
| | - Gheorghe Vasile Ciubotaru
- Neurosurgical Department, Clinical Emergency Hospital “Bagdasar-Arseni”, Soseaua Berceni 12, 041915 Bucharest, Romania; (G.V.C.); (S.M.B.R.); (A.K.)
| | - Mugurel Petrinel Radoi
- Neurosurgical Department, National Institute of Neurology and Neurovascular Diseases, Soseaua Berceni 10, 041914 Bucharest, Romania;
| | - Silvia Mara Baez Rodriguez
- Neurosurgical Department, Clinical Emergency Hospital “Bagdasar-Arseni”, Soseaua Berceni 12, 041915 Bucharest, Romania; (G.V.C.); (S.M.B.R.); (A.K.)
| | - Amira Kamel
- Neurosurgical Department, Clinical Emergency Hospital “Bagdasar-Arseni”, Soseaua Berceni 12, 041915 Bucharest, Romania; (G.V.C.); (S.M.B.R.); (A.K.)
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Comparative diagnostic performance of contrast-enhanced ultrasound and dynamic contrast-enhanced magnetic resonance imaging for differentiating clear cell and non-clear cell renal cell carcinoma. Eur Radiol 2023; 33:3766-3774. [PMID: 36725722 DOI: 10.1007/s00330-023-09391-9] [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: 06/14/2022] [Revised: 12/09/2022] [Accepted: 12/23/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To compare the diagnostic efficiency of contrast-enhanced ultrasound (CEUS) with that of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) for the differential diagnosis of clear and non-clear cell renal cell carcinoma, as confirmed by subsequent pathology. METHODS A total of 181 patients with 184 renal lesions diagnosed by both CEUS and DCE-MRI were enrolled in the study, including 136 clear cell renal cell carcinoma (ccRCC) and 48 non-clear cell renal cell carcinoma (non-ccRCC) tumors. All lesions were confirmed by histopathologic diagnosis after surgical resection. Interobserver agreement was estimated using a weighted kappa statistic. Diagnostic efficiency in evaluating ccRCC and non-ccRCC was compared between CEUS and DCE-MRI. RESULTS The weighted kappa value for interobserver agreement was 0.746 to 0.884 for CEUS diagnosis and 0.764 to 0.895 for DCE-MRI diagnosis. Good diagnostic performance in differential diagnosis of ccRCC and non-ccRCC was displayed by both CEUS and DCE-MRI: sensitivity was 89.7% and 91.9%, respectively; specificity was 77.1% and 68.8%, respectively; and area under the receiver operating curve was 0.834 and 0.803, respectively. No statistically significant differences were present between the two methods (p = 0.54). CONCLUSIONS Both CEUS and DCE-MRI imaging are effective for the differential diagnosis of ccRCC and non-ccRCC. Thus, CEUS could be an alternative to DCE-MRI as a first test for patients at risk of renal cancer, particularly where DCE-MRI cannot be carried out. KEY POINTS • CEUS and DCE-MRI features can help differentiate ccRCC and non-ccRCC. • The differential diagnosis of ccRCC and non-ccRCC by CEUS is comparable to that of DCE-MRI. • Interobserver agreement is generally high using CEUS and DCE-MRI.
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Zhou T, Guan J, Feng B, Xue H, Cui J, Kuang Q, Chen Y, Xu K, Lin F, Cui E, Long W. Distinguishing common renal cell carcinomas from benign renal tumors based on machine learning: comparing various CT imaging phases, slices, tumor sizes, and ROI segmentation strategies. Eur Radiol 2023; 33:4323-4332. [PMID: 36645455 DOI: 10.1007/s00330-022-09384-0] [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: 04/27/2022] [Revised: 10/19/2022] [Accepted: 11/28/2022] [Indexed: 01/17/2023]
Abstract
OBJECTIVES To determine whether a CT-based machine learning (ML) can differentiate benign renal tumors from renal cell carcinomas (RCCs) and improve radiologists' diagnostic performance, and evaluate the impact of variable CT imaging phases, slices, tumor sizes, and region of interest (ROI) segmentation strategies. METHODS Patients with pathologically proven RCCs and benign renal tumors from our institution between 2008 and 2020 were included as the training dataset for ML model development and internal validation (including 418 RCCs and 78 benign tumors), and patients from two independent institutions and a public database (TCIA) were included as the external dataset for individual testing (including 262 RCCs and 47 benign tumors). Features were extracted from three-phase CT images. CatBoost was used for feature selection and ML model establishment. The area under the receiver operating characteristic curve (AUC) was used to assess the performance of the ML model. RESULTS The ML model based on 3D images performed better than that based on 2D images, with the highest AUC of 0.81 and accuracy (ACC) of 0.86. All three radiologists achieved better performance by referring to the classifier's decision, with accuracies increasing from 0.82 to 0.87, 0.82 to 0.88, and 0.76 to 0.87. The ML model achieved higher negative predictive values (NPV, 0.82-0.99), and the radiologists achieved higher positive predictive values (PPV, 0.91-0.95). CONCLUSIONS A ML classifier based on whole-tumor three-phase CT images can be a useful and promising tool for differentiating RCCs from benign renal tumors. The ML model also perfectly complements radiologist interpretations. KEY POINTS • A machine learning classifier based on CT images could be a reliable way to differentiate RCCs from benign renal tumors. • The machine learning model perfectly complemented the radiologists' interpretations. • Subtle variances in ROI delineation had little effect on the performance of the ML classifier.
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Affiliation(s)
- Tao Zhou
- Department of Radiology, Jiangmen Central Hospital, Guangdong Medical University, Zunyi Medical University, 23 Beijie Haibang Street, Jiangmen, 529030, People's Republic of China
- Department of Radiology, The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan Second Road, Guangzhou, 510000, People's Republic of China
| | - Jian Guan
- Department of Radiology, The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan Second Road, Guangzhou, 510000, People's Republic of China
| | - Bao Feng
- Department of Radiology, Jiangmen Central Hospital, Guangdong Medical University, Zunyi Medical University, 23 Beijie Haibang Street, Jiangmen, 529030, People's Republic of China
- Guangzhou Key Laboratory of Molecular and Functional Imaging for Clinical Translation, Guangzhou, People's Republic of China
| | - Huimin Xue
- Department of Radiology, Jiangmen Central Hospital, Guangdong Medical University, Zunyi Medical University, 23 Beijie Haibang Street, Jiangmen, 529030, People's Republic of China
- Guangzhou Key Laboratory of Molecular and Functional Imaging for Clinical Translation, Guangzhou, People's Republic of China
| | - Jin Cui
- Department of Radiology, Jiangmen Central Hospital, Guangdong Medical University, Zunyi Medical University, 23 Beijie Haibang Street, Jiangmen, 529030, People's Republic of China
| | - Qionglian Kuang
- Department of Radiology, Jiangmen Central Hospital, Guangdong Medical University, Zunyi Medical University, 23 Beijie Haibang Street, Jiangmen, 529030, People's Republic of China
- Department of Radiology, The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan Second Road, Guangzhou, 510000, People's Republic of China
| | - Yehang Chen
- School of Electronic Information and Automation, Guilin University of Aerospace Technology, 2 Jinji Road, Guilin, 541000, People's Republic of China
| | - Kuncai Xu
- School of Electronic Information and Automation, Guilin University of Aerospace Technology, 2 Jinji Road, Guilin, 541000, People's Republic of China
| | - Fan Lin
- Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, 3002 SunGangXi Road, Shenzhen, 518035, People's Republic of China.
| | - Enming Cui
- Department of Radiology, Jiangmen Central Hospital, Guangdong Medical University, Zunyi Medical University, 23 Beijie Haibang Street, Jiangmen, 529030, People's Republic of China.
- Guangzhou Key Laboratory of Molecular and Functional Imaging for Clinical Translation, Guangzhou, People's Republic of China.
| | - Wansheng Long
- Department of Radiology, Jiangmen Central Hospital, Guangdong Medical University, Zunyi Medical University, 23 Beijie Haibang Street, Jiangmen, 529030, People's Republic of China.
- Guangzhou Key Laboratory of Molecular and Functional Imaging for Clinical Translation, Guangzhou, People's Republic of China.
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Li Y, Zheng R, Zhang Y, Huang C, Tian L, Liu R, Liu Y, Zhang Z, Han H, Zhou F, He L, Dong P. Special issue "The advance of solid tumor research in China": 68Ga-PSMA-11 PET/CT for evaluating primary and metastatic lesions in different histological subtypes of renal cell carcinoma. Int J Cancer 2023; 152:42-50. [PMID: 35751420 PMCID: PMC9796964 DOI: 10.1002/ijc.34189] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 05/25/2022] [Accepted: 05/27/2022] [Indexed: 01/07/2023]
Abstract
Conventional imaging examinations are not sensitive enough for the early detection of recurrent or metastatic lesions in renal cell carcinoma (RCC) patients. We aimed to explore the role of 68 Ga-prostate specific membrane antigen (PSMA)-11 positron emission tomography (PET)/computed tomography (CT) in the detection of primary and metastatic lesions in such patients. We retrospectively analyzed 50 RCC patients who underwent 68 Ga-PSMA-11 PET/CT from November 2017 to December 2020. We observed a higher median accuracy and tumor-to-background maximum standard uptake value (SUVmax ) ratio (TBR) of 68 Ga-PSMA-11 PET/CT in clear cell RCC (ccRCC; 96.57% and 6.00, respectively) than in non-clear cell RCC (ncRCC; 82.05% and 2.99, respectively). The accuracies in detecting lesions in the renal region, bone, lymph nodes and lungs in ccRCC were 100.00%, 95.00%, 98.08% and 75.00%, respectively, and those in the renal region, bone and lymph nodes in ncRCC were 100.00%, 86.67% and 36.36%, respectively. The median TBRs of the lesions from the above locations were 0.38, 10.96, 6.69 and 13.71, respectively, in ccRCC and 0.13, 4.02 and 0.73, respectively, in ncRCC. The PSMA score evaluated with immunohistochemistry was correlated with the SUVmax (P = .046) in RCC. Higher PSMA scores were observed in ccRCC than in ncRCC (P = .031). 68 Ga-PSMA-11 PET/CT resulted in changes in clinical management in 12.9% (4/31) of cases because of the discovery of new metastases not detected with conventional imaging. These results indicate that 68 Ga-PSMA-11 PET/CT is a promising method for the detection of metastatic lesions in ccRCC, especially for those in the bone and lymph nodes.
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Affiliation(s)
- Yilin Li
- Department of Radiation OncologySun Yat‐sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer MedicineGuangzhouPeople's Republic of China
| | - Rongliang Zheng
- Department of Nuclear MedicineSun Yat‐sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer MedicineGuangzhouPeople's Republic of China
| | - Yijun Zhang
- Department of PathologySun Yat‐sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer MedicineGuangzhouPeople's Republic of China
| | - Chaoyun Huang
- Department of PathologySun Yat‐sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer MedicineGuangzhouPeople's Republic of China
| | - Li Tian
- Department of RadiologySun Yat‐sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer MedicineGuangzhouPeople's Republic of China
| | - Ruiqi Liu
- Department of Radiation OncologySun Yat‐sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer MedicineGuangzhouPeople's Republic of China
| | - Yang Liu
- Department of Radiation OncologySun Yat‐sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer MedicineGuangzhouPeople's Republic of China
| | - Zhiling Zhang
- Department of UrologySun Yat‐sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer MedicineGuangzhouPeople's Republic of China
| | - Hui Han
- Department of UrologySun Yat‐sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer MedicineGuangzhouPeople's Republic of China
| | - Fangjian Zhou
- Department of UrologySun Yat‐sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer MedicineGuangzhouPeople's Republic of China
| | - Liru He
- Department of Radiation OncologySun Yat‐sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer MedicineGuangzhouPeople's Republic of China
| | - Pei Dong
- Department of UrologySun Yat‐sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer MedicineGuangzhouPeople's Republic of China
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[Modern tomography imaging techniques in urological diseases]. Urologe A 2022; 61:374-383. [PMID: 35262753 DOI: 10.1007/s00120-022-01792-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/08/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND Radiologic imaging is important for the detection, staging and follow-up of urological tumors. Basic therapy decisions for both oncological (surgical vs. systemic therapy, e.g. in testicular cancer) and non-oncological pathologies (interventional vs. conservative therapy, e.g. for ureteral stones) depend largely on the tomographic imaging performed. Due to its almost ubiquitous availability, speed and cost-effectiveness, computed tomography (CT) plays an important role not only in the clarification of abdominal trauma and non-traumatic emergencies, but also in staging and follow-up of oncological patients. However, the level of radiation exposure, impaired renal function and allergies to iodinated contrast media limit the use of CT. Magnetic resonance imaging (MRI) can be a good alternative for many areas of application in oncological and non-oncological imaging due to its high soft tissue differentiation and functional-specific protocols but without the use of ionizing radiation. AIM In the following, the main indications of abdominal and pelvic CT and MRI in urology and their limitations are summarized. RESULTS The areas of application between CT and MRI are increasingly overlapping, since the latest developments in CT continue to further reduce radiation exposure and increase contrast information, while the speed and robustness of MRI are significantly improving at the same time.
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Building multipurpose nano-toolkit by rationally decorating NIR-II fluorophore to meet the needs of tumor diagnosis and treatment. CHINESE CHEM LETT 2022. [DOI: 10.1016/j.cclet.2022.03.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Small Renal Masses without Gross Fat: What Is the Role of Contrast-Enhanced MDCT? Diagnostics (Basel) 2022; 12:diagnostics12020553. [PMID: 35204643 PMCID: PMC8871355 DOI: 10.3390/diagnostics12020553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 02/17/2022] [Accepted: 02/18/2022] [Indexed: 11/17/2022] Open
Abstract
Increased detection of small renal masses (SRMs) has encouraged research for non-invasive diagnostic tools capable of adequately differentiating malignant vs. benign SRMs and the type of the tumour. Multi-detector computed tomography (MDCT) has been suggested as an alternative to intervention, therefore, it is important to determine both the capabilities and limitations of MDCT for SRM evaluation. In our study, two abdominal radiologists retrospectively blindly assessed MDCT scan images of 98 patients with incidentally detected lipid-poor SRMs that did not present as definitely aggressive lesions on CT. Radiological conclusions were compared to histopathological findings of materials obtained during surgery that were assumed as the gold standard. The probability (odds ratio (OR)) in regression analyses, sensitivity (SE), and specificity (SP) of predetermined SRM characteristics were calculated. Correct differentiation between malignant vs. benign SRMs was detected in 70.4% of cases, with more accurate identification of malignant (73%) in comparison to benign (65.7%) lesions. The radiological conclusions of SRM type matched histopathological findings in 56.1%. Central scarring (OR 10.6, p = 0.001), diameter of lesion (OR 2.4, p = 0.003), and homogeneous accumulation of contrast medium (OR 3.4, p = 0.03) significantly influenced the accuracy of malignant diagnosis. SE and SP of these parameters varied from 20.6% to 91.3% and 22.9% to 74.3%, respectively. In conclusion, MDCT is able to correctly differentiate malignant versus uncharacteristic benign SRMs in more than 2/3 of cases. However, frequency of the correct histopathological SRM type MDCT identification remains low.
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Clinical Study on the Efficacy of Microwave Ablation (MA) in the Treatment of Stage I Renal Clear Cell Carcinoma by CT and MRI Imaging. JOURNAL OF HEALTHCARE ENGINEERING 2022; 2022:8446294. [PMID: 35178237 PMCID: PMC8843974 DOI: 10.1155/2022/8446294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Revised: 01/05/2022] [Accepted: 01/18/2022] [Indexed: 11/17/2022]
Abstract
We have proposed an effective mechanism to corroborate the efficacy of microwave ablation (MA) in the treatment of stage I renal clear cell carcinoma in this paper. For this purpose, a total of 96 patients with stage I renal clear cell carcinoma presented in our hospital from May 2018 to January 2021 were randomly divided into CT group (n = 48) and MRI group (n = 48). Patients in both groups were treated with microwave ablation after pathological diagnosis. Patients in the CT group received enhanced CT examination to monitor the therapeutic effect; in contrast, patients in the MRI group received MRI examination to monitor their therapeutic effect. The focus areas before and after tumor microwave ablation were compared between the two groups. The patients were followed up to 1 year after the operation, and the microwave ablation inactivation rates of the two groups were compared according to the postoperative follow-up results. There was no significant difference between CT and MRI in the levels of long and short diameter before and after microwave ablation of renal clear cell carcinoma (P > 0.05). In the CT group, CT examination was performed within 24 hours after microwave ablation treatment, and 44 of 48 ablation lesions showed complete ablation. The remaining 4 lesions showed nodular heterogeneous enhancement in the arterial phase, indicating that the tumor remained. Microwave ablation was performed on the residual lesions during the operation, and then enhanced CT was performed again to show that the lesions were ablated completely. In the MRI group, MRI examination was performed within 24 hours after microwave ablation treatment, and 45 of 48 ablation lesions showed complete ablation. The remaining 3 lesions showed nodular heterogeneous enhancement in the arterial phase, indicating that the tumor remained. Microwave ablation was performed on the residual lesions during the operation, and MRI examination showed that the lesions were ablated completely. The patients were followed up to 1 year after the operation, and the microwave ablation inactivation rate of the two groups was compared according to the postoperative follow-up results as the gold standard. The inactivation rate of microwave ablation in the CT group was 89.58 (43/48). The inactivation rate of microwave ablation in the MRI group was 100.00% (48/48). The inactivation rate of microwave ablation in the MRI group was higher than that in the CT group (χ2 = 5.275, P = 0.021).
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Fang L, Bai K, Chen Y, Zhan J, Zhang Y, Qiu Z, Chen L, Wang L. A comparative study of contrast-enhanced ultrasound and contrast-enhanced CT for the detection and characterization of renal masses. Biosci Trends 2021; 15:24-32. [PMID: 33642452 DOI: 10.5582/bst.2021.01026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
This study aims to compare the value of contrast-enhanced ultrasound (CEUS) and contrast-enhanced CT (CECT) in the differential diagnosis of benign and malignant renal masses. Included in this retrospective study were 143 renal masses in 141 patients using histopathological findings as the gold standard. A comparison was made of the two modalities in image characteristics for their accuracy in the differential diagnosis of renal masses. CEUS and CECT were both used for 39 masses in 37 patients, with 31 (79.5%) being malignant and 8 (20.5%) benign. The differences between the benign and malignant groups in perfusion intensity, perfusion uniformity and entry and exit of the contrast agent were not statistically significant (P > 0.05). However, CEUS could better display the circular perfusion of renal cell carcinoma than CECT (P < 0.05). CECT alone detected 109 masses in 107 patients, with 93 (85.3%) being malignant and 16 (14.7%) benign. CEUS detected 73 masses in 71 patients, with 56 (76.7%) being malignant and 17 (23.3%) benign. No statistically significant differences were observed between CEUS and CECT in the diagnosis of renal cell carcinoma (92.8% vs. 90.3%), with a specificity of 52.9% vs. 31.2%, an accuracy of 83.5% vs. 81.6%, and a positive predictive value of 86.7% vs. 88.4% or a negative predictive value of 69.2% vs. 35.7% (P > 0.05 for all). These results suggested both CEUS and CECT are highly valuable in the differential diagnosis of renal masses, and CEUS can be used as an important supplement for CECT in diagnosis of renal cancer.
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Affiliation(s)
- Liang Fang
- Department of Ultrasound, Huadong Hospital, Fudan University, Shanghai, China.,Shanghai Key Laboratory of Clinical Geriatric Medicine Shanghai, China
| | - Kun Bai
- Department of Ultrasound, Jiading Central Hospital, Fudan University, Shanghai, China
| | - Yue Chen
- Department of Ultrasound, Huadong Hospital, Fudan University, Shanghai, China.,Shanghai Key Laboratory of Clinical Geriatric Medicine Shanghai, China
| | - Jia Zhan
- Department of Ultrasound, Huadong Hospital, Fudan University, Shanghai, China.,Shanghai Key Laboratory of Clinical Geriatric Medicine Shanghai, China
| | - Yinjia Zhang
- Department of Ultrasound, Huadong Hospital, Fudan University, Shanghai, China.,Shanghai Key Laboratory of Clinical Geriatric Medicine Shanghai, China
| | - Zhiying Qiu
- Department of Ultrasound, Huadong Hospital, Fudan University, Shanghai, China.,Shanghai Key Laboratory of Clinical Geriatric Medicine Shanghai, China
| | - Lin Chen
- Department of Ultrasound, Huadong Hospital, Fudan University, Shanghai, China.,Shanghai Key Laboratory of Clinical Geriatric Medicine Shanghai, China
| | - Ling Wang
- Department of Reproductive Immunology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
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Semi-quantitative F-18-FDG PET/computed tomography parameters for prediction of grade in patients with renal cell carcinoma and the incremental value of diuretics. Nucl Med Commun 2021; 41:485-493. [PMID: 32168262 DOI: 10.1097/mnm.0000000000001169] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
OBJECTIVE The primary objective of the study was to evaluate the correlation between semi-quantitative F-18 FDG PET parameters and renal cell carcinoma (RCC) grade and its role in predicting the histopathological grade in RCC. The secondary objective was to evaluate the role of forced diuresis in improving the diagnostic accuracy of F-18 FDG for RCC. METHODS Thirty-three patients with radiologically proven RCC were included in the study. All patients underwent PET/CT on a dedicated PET/CT scanner (Biograph mCT; Siemens Medical Solutions, Erlangen, Germany) 45-60 min post-injection F-18-FDG. Patients were then injected 1 mg/kg body weight furosemide (upto 40 mg) and regional PET/CT images of abdomen were acquired after 2 h. For both baseline and post-diuretic F-18-FDG PET/CT scans, maximum standardized uptake value for tumor (SUVmax), mean SUV for tumor, metabolic tumor volume (MTV), tumor-to-liver (T/L) and tumor-to-kidney ratio (T/K) were calculated. Histopathology findings were considered as the reference standard. To assess the incremental value of diuresis in scan interpretation, visual analysis of scans was done. RESULTS Of 33 patients, histopathology grading was available for comparison with metabolic tumor markers in all except four. Of 29 patients (mean age = 51.89 ± 13.54 years), 20 patients had clear cell (cc) type while rest had non-cc RCC. Difference between the mean values among the categories was insignificant for all parameters except T/K. Fuhrman grading was obtained in 25 patients (17 low and eight high). SUVmax, MTV and T/L were found to be significantly different between low and high grade patients. Significantly strong positive correlation was observed between Furhman grades and tumor metabolism (r ≥ 0.5). No significant difference was observed between baseline and post-diuretic scan in any of the patients. CONCLUSION Semi-quantitative F-18 FDG PET parameters (SUVmax, MTV and T/L) were found to be significantly correlated with Fuhrman grade in patients with RCC and are important markers for differentiation between low- and high-grade tumors. Furthermore, forced diuresis had no incremental value in characterization of primary RCC lesions.
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Meng X, Zhang H, Zhang M, Wang B, Liu Y, Wang Y, Fang X, Zhang J, Yao Z, Bu W. Negative CT Contrast Agents for the Diagnosis of Malignant Osteosarcoma. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2019; 6:1901214. [PMID: 31832312 PMCID: PMC6891899 DOI: 10.1002/advs.201901214] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Revised: 09/06/2019] [Indexed: 05/03/2023]
Abstract
The current positive computed tomography (CT) contrast agents (PCTCAs) including clinical iodides, present high CT density value (CT-DV). However, they are incapable for the accurate diagnosis of some diseases with high CT-DV, such as osteosarcoma. Because bones and PCTCAs around osteosarcoma generate similar X-ray attenuations. Here, an innovative strategy of negative CT contrast agents (NCTCAs) to reduce the CT-DV of osteosarcoma is proposed, contributing to accurate detection of osteosarcoma. Hollow mesoporous silica nanoparticles, loading ammonia borane molecules and further modified by polyethylene glycol, are synthesized as NCTCAs for the diagnosis of osteosarcoma. The nanocomposites can produce H2 in situ at osteosarcoma areas by responding to the acidic microenvironment of osteosarcoma, resulting in nearly 20 times reduction of CT density in osteosarcoma. This helps form large CT density contrast between bones and osteosarcoma, and successfully achieves accurate diagnosis of osteosarcoma. Meanwhile, The NCTCAs strategy greatly expands the scope of CT application, and provides profound implications for the precise clinical diagnosis, treatment, and prognosis of diseases.
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Affiliation(s)
- Xianfu Meng
- Shanghai Key Laboratory of Green Chemistry and Chemical ProcessesCollege of Chemistry and Molecular EngineeringEast China Normal UniversityShanghai200062China
| | - Hua Zhang
- Department of RadiologyHuashan HospitalFudan UniversityShanghai200040China
| | - Meng Zhang
- State Key Laboratory of High Performance Ceramics and Superfine MicrostructuresShanghai Institute of CeramicsChinese Academy of SciencesShanghai200050China
| | - Baoming Wang
- School of Life SciencesUniversity of Technology SydneySydneyNSW2007Australia
| | - Yanyan Liu
- Shanghai Key Laboratory of Green Chemistry and Chemical ProcessesCollege of Chemistry and Molecular EngineeringEast China Normal UniversityShanghai200062China
| | - Yan Wang
- Department of RadiologyWuxi People's HospitalNanjing Medical UniversityWuxi214023China
| | - Xiangming Fang
- Department of RadiologyWuxi People's HospitalNanjing Medical UniversityWuxi214023China
| | - Jiawen Zhang
- Department of RadiologyHuashan HospitalFudan UniversityShanghai200040China
| | - Zhenwei Yao
- Department of RadiologyHuashan HospitalFudan UniversityShanghai200040China
| | - Wenbo Bu
- Shanghai Key Laboratory of Green Chemistry and Chemical ProcessesCollege of Chemistry and Molecular EngineeringEast China Normal UniversityShanghai200062China
- State Key Laboratory of High Performance Ceramics and Superfine MicrostructuresShanghai Institute of CeramicsChinese Academy of SciencesShanghai200050China
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Radiologic-Radiomic Machine Learning Models for Differentiation of Benign and Malignant Solid Renal Masses: Comparison With Expert-Level Radiologists. AJR Am J Roentgenol 2019; 214:W44-W54. [PMID: 31553660 DOI: 10.2214/ajr.19.21617] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
OBJECTIVE. The objective of our study was to compare the performance of radiologicradiomic machine learning (ML) models and expert-level radiologists for differentiation of benign and malignant solid renal masses using contrast-enhanced CT examinations. MATERIALS AND METHODS. This retrospective study included a cohort of 254 renal cell carcinomas (RCCs) (190 clear cell RCCs [ccRCCs], 38 chromophobe RCCs [chrRCCs], and 26 papillary RCCs [pRCCs]), 26 fat-poor angioleiomyolipomas, and 10 oncocytomas with preoperative CT examinations. Lesions identified by four expert-level radiologists (> 3000 genitourinary CT and MRI studies) were manually segmented for radiologicradiomic analysis. Disease-specific support vector machine radiologic-radiomic ML models for classification of renal masses were trained and validated using a 10-fold cross-validation. Performance values for the expert-level radiologists and radiologic-radiomic ML models were compared using the McNemar test. RESULTS. The performance values for the four radiologists were as follows: sensitivity of 73.7-96.8% (median, 84.5%; variance, 122.7%) and specificity of 48.4-71.9% (median, 61.8%; variance, 161.6%) for differentiating ccRCCs from pRCCs and chrRCCs; sensitivity of 73.7-96.8% (median, 84.5%; variance, 122.7%) and specificity of 52.8-88.9% for differentiating ccRCCs from fat-poor angioleiomyolipomas and oncocytomas (median, 80.6%; variance, 269.1%); and sensitivity of 28.1-60.9% (median, 84.5%; variance, 122.7%) and specificity of 75.0-88.9% for differentiating pRCCs and chrRCCs from fat-poor angioleiomyolipomas and oncocytomas (median, 50.0%; variance, 191.1%). After a 10-fold cross-validation, the radiologic-radiomic ML model yielded the following performance values for differentiating ccRCCs from pRCCs and chrRCCs, ccRCCs from fat-poor angioleiomyolipomas and oncocytomas, and pRCCs and chrRCCs from fat-poor angioleiomyolipomas and oncocytomas: a sensitivity of 90.0%, 86.3%, and 73.4% and a specificity of 89.1%, 83.3%, and 91.7%, respectively. CONCLUSION. Expert-level radiologists had obviously large variances in performance for differentiating benign from malignant solid renal masses. Radiologic-radiomic ML can be a potential way to improve interreader concordance and performance.
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The use of 68Ga-PET/CT PSMA in the staging of primary and suspected recurrent renal cell carcinoma. Eur J Nucl Med Mol Imaging 2019; 46:2280-2288. [DOI: 10.1007/s00259-019-04432-2] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2019] [Accepted: 07/09/2019] [Indexed: 02/07/2023]
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Wasim AS, Mumtaz F. Limitations of CT scanning in Bosniak staging of renal cystic carcinoma. J Surg Case Rep 2018; 2018:rjy052. [PMID: 29686834 PMCID: PMC5905367 DOI: 10.1093/jscr/rjy052] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2017] [Accepted: 04/06/2018] [Indexed: 11/14/2022] Open
Abstract
The Bosniak Classification is used to quantify the risk of malignancy and need for observation or radical treatment based on the findings of computed tomography (CT). The case described is that of a 65-year-old man with renal cystic disease who was initially given a Bosniak stage IIF classification and was subsequently managed with CT surveillance. CT surveillance showed increased cyst size in the left kidney with cystic changes, however, the Bosniak classification remained the same. It was not until the patient deteriorated further that an MRI was indicated. The MRI findings upgraded the lesion from Bosniak IIF to Bosniak III. As a result, the patient underwent a radical left nephrectomy and a biopsy, which revealed clear cell carcinoma. This case argues the limitations of the Bosniak classification and the value of using MRI at an earlier stage, especially with unusual circumstances such as a chronic history of enlarging cysts.
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Affiliation(s)
- A S Wasim
- University Hospital Coventry, Core Surgery, Coventry CV2 2DX, UK
| | - F Mumtaz
- Royal Free London NHS Foundation Trust, Urology, London NW3 2QG, UK
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Cockerell I, Guenin M, Heimdal K, Bjørnvold M, Selmer KK, Rouvière O. Renal manifestations of tuberous sclerosis complex: patients' and parents' knowledge and routines for renal follow-up - a questionnaire study. BMC Nephrol 2018; 19:39. [PMID: 29439672 PMCID: PMC5812037 DOI: 10.1186/s12882-018-0835-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2017] [Accepted: 01/29/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Renal angiomyolipomas (AMLs) are a major clinical feature in patients with tuberous sclerosis complex (TSC). Spontaneous bleeding can be life threatening, and appropriate information and proper surveillance and management are important to limit morbidity and mortality. Because TSC is a rare disease, patients are at risk of suboptimal medical management. Our aim was to investigate patients' and parents' knowledge about renal angiomyolipomas (AMLs) in Tuberous Sclerosis Complex (TSC) and to identify current routines for renal follow-up. METHODS A questionnaire survey was initiated by the French Reference Centre on TSC. It was distributed in France through university hospitals and the patients' association (2009-2011), and to patients registered by the Norwegian National Centre for Rare Epilepsy-Related Disorders (2013-2014). Contingency tables with Chi-Square test for independence (with Yates Continuity Correction) and Pearson-Chi-Square value were used for correlation statistics. RESULTS We included 357 patients (France, n=257; Norway n=100). Most participants knew that TSC is associated with AMLs. However, 42 % did not know about the risk of AMLrelated bleeding, and 37 % had been informed about the risk of bleeding only after the age of 15 years. Furthermore, 14 % did not know whether they themselves or their child had AMLs. Patients had less knowledge than parents. Medical consultations and patient associations were the main sources of information. Among 30 % of patients, renal imaging was not received at all, or not conducted every 1-3 years, as recommended by current guidelines. Regular imaging was more frequent in patients with AMLs < 15 years, than in patients with AMLs ≥ 15 years. Ultrasound was the most frequently used imaging modality. CONCLUSIONS Knowledge of renal AML in TSC patients and their parents was lower than expected, and follow-up by renal imaging was suboptimal for a substantial proportion of patients. Patients and parents should be informed about the risk and symptoms of renal bleeding, at the latest when the patient is 15 years. Monitoring the growth of AMLs should be standardized to comply with guidelines. Transition between adolescence and adulthood is a high-risk period and ensuring appropriate follow-up at this time is particularly important.
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Affiliation(s)
- I Cockerell
- Department of Rare Disorders and Disabilities, Oslo University Hospital, National Centre for Rare Epilepsy-Related Disorders, Pb 4950, Nydalen, 0424, Oslo, Norway.
| | - M Guenin
- Department of Urinary and Vascular Imaging, Hôpital Edouard Herriot, Lyon, France
| | - K Heimdal
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | - M Bjørnvold
- National Centre for Epilepsy, Division for Clinical Neuroscience, Oslo University Hospital, Oslo, Norway
| | - K K Selmer
- Department of Rare Disorders and Disabilities, Oslo University Hospital, National Centre for Rare Epilepsy-Related Disorders, Pb 4950, Nydalen, 0424, Oslo, Norway.,Department of Medical Genetics, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - O Rouvière
- Department of Urinary and Vascular Imaging, Hôpital Edouard Herriot, Lyon, France
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Bagheri MH, Ahlman MA, Lindenberg L, Turkbey B, Lin J, Cahid Civelek A, Malayeri AA, Agarwal PK, Choyke PL, Folio LR, Apolo AB. Advances in medical imaging for the diagnosis and management of common genitourinary cancers. Urol Oncol 2017; 35:473-491. [PMID: 28506596 PMCID: PMC5931389 DOI: 10.1016/j.urolonc.2017.04.014] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2017] [Revised: 04/05/2017] [Accepted: 04/15/2017] [Indexed: 01/01/2023]
Abstract
Medical imaging of the 3 most common genitourinary (GU) cancers-prostate adenocarcinoma, renal cell carcinoma, and urothelial carcinoma of the bladder-has evolved significantly during the last decades. The most commonly used imaging modalities for the diagnosis, staging, and follow-up of GU cancers are computed tomography, magnetic resonance imaging (MRI), and positron emission tomography (PET). Multiplanar multidetector computed tomography and multiparametric MRI with diffusion-weighted imaging are the main imaging modalities for renal cell carcinoma and urothelial carcinoma, and although multiparametric MRI is rapidly becoming the main imaging tool in the evaluation of prostate adenocarcinoma, biopsy is still required for diagnosis. Functional and molecular imaging using 18-fluorodeoxyglucose-PET and sodium fluoride-PET are essential for the diagnosis, and especially follow-up, of metastatic GU tumors. This review provides an overview of the latest advances in the imaging of these 3 major GU cancers.
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Affiliation(s)
- Mohammad H Bagheri
- Clinical Image Processing Service, Radiology and Imaging Sciences Department, Clinical Center, National Institutes of Health, Bethesda, MD
| | - Mark A Ahlman
- Nuclear Medicine Department, Clinical Center, National Institutes of Health, Bethesda, MD; Radiology and Imaging Sciences Department, Clinical Center, National Institutes of Health, Bethesda, MD
| | - Liza Lindenberg
- Molecular Imaging Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Baris Turkbey
- Molecular Imaging Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Jeffrey Lin
- Genitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Ali Cahid Civelek
- Radiology and Imaging Sciences Department, Clinical Center, National Institutes of Health, Bethesda, MD
| | - Ashkan A Malayeri
- Radiology and Imaging Sciences Department, Clinical Center, National Institutes of Health, Bethesda, MD
| | - Piyush K Agarwal
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Peter L Choyke
- Molecular Imaging Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Les R Folio
- Radiology and Imaging Sciences Department, Clinical Center, National Institutes of Health, Bethesda, MD
| | - Andrea B Apolo
- Genitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD.
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Woo S, Kim SH. Differentiation of Small, Solid Renal Masses: A Pattern Recognition Approach. Semin Ultrasound CT MR 2017; 38:28-36. [DOI: 10.1053/j.sult.2016.08.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
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Diagnostic accuracy of contrast-enhanced computed tomography and contrast-enhanced magnetic resonance imaging of small renal masses in real practice: sensitivity and specificity according to subjective radiologic interpretation. World J Surg Oncol 2016; 14:260. [PMID: 27729042 PMCID: PMC5059933 DOI: 10.1186/s12957-016-1017-z] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2015] [Accepted: 10/04/2016] [Indexed: 12/26/2022] Open
Abstract
Background The aim of this study was to investigate the diagnostic accuracy of contrast-enhanced computed tomography (CT) and contrast-enhanced magnetic resonance imaging (MRI) of small renal masses in real practice. Methods Contrast-enhanced CT and MRI were performed between February 2008 and February 2013 on 68 patients who had suspected small (≤4 cm) renal cell carcinoma (RCC) based on ultrasonographic measurements. CT and MRI radiographs were reviewed, and the findings of small renal masses were re-categorized into five dichotomized scales by the same two radiologists who had interpreted the original images. Receiver operating characteristics curve analysis was performed, and sensitivity and specificity were determined. Results Among the 68 patients, 60 (88.2 %) had RCC and eight had benign disease. The diagnostic accuracy rates of contrast-enhanced CT and MRI were 79.41 and 88.23 %, respectively. Diagnostic accuracy was greater when using contrast-enhanced MRI because too many masses (67.6 %) were characterized as “4 (probably solid cancer) or 5 (definitely solid cancer).” The sensitivity of contrast-enhanced CT and MRI for predicting RCC were 79.7 and 88.1 %, respectively. The specificities of contrast-enhanced CT and MRI for predicting RCC were 44.4 and 33.3 %, respectively. Fourteen diagnoses (20.5 %) were missed or inconsistent compared with the final pathological diagnoses. One appropriate nephroureterectomy and five unnecessary percutaneous biopsies were performed for RCC. Seven unnecessary partial nephrectomies were performed for benign disease. Conclusions Although contrast-enhanced CT and MRI showed high sensitivity for detecting small renal masses, specificity remained low.
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Hansen KL, Nielsen MB, Ewertsen C. Ultrasonography of the Kidney: A Pictorial Review. Diagnostics (Basel) 2015; 6:diagnostics6010002. [PMID: 26838799 PMCID: PMC4808817 DOI: 10.3390/diagnostics6010002] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2015] [Revised: 12/12/2015] [Accepted: 12/17/2015] [Indexed: 01/01/2023] Open
Abstract
Ultrasonography of the kidneys is essential in the diagnosis and management of kidney-related diseases. The kidneys are easily examined, and most pathological changes in the kidneys are distinguishable with ultrasound. In this pictorial review, the most common findings in renal ultrasound are highlighted.
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Affiliation(s)
| | - Michael Bachmann Nielsen
- Department of Radiology, Copenhagen University Hospital, Blegdamsvej 9, Copenhagen 2100-DK, Denmark.
| | - Caroline Ewertsen
- Department of Radiology, Copenhagen University Hospital, Blegdamsvej 9, Copenhagen 2100-DK, Denmark.
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Dynamic Contrast-Enhanced CT Characterization of Xp11.2 Translocation/TFE3 Gene Fusions versus Papillary Renal Cell Carcinomas. BIOMED RESEARCH INTERNATIONAL 2015; 2015:298679. [PMID: 26636097 PMCID: PMC4655261 DOI: 10.1155/2015/298679] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/28/2015] [Revised: 09/15/2015] [Accepted: 10/20/2015] [Indexed: 01/01/2023]
Abstract
PURPOSE To compare the differences of CT characteristics between renal cell carcinomas (RCCs) associated with Xp11.2 translocation/TFE3 gene fusions (Xp11.2 RCCs) and papillary cell renal cell carcinomas (PRCCs). METHODS CT images and clinical records of 64 patients (25 Xp11.2 RCCs, 15 type 1 and 24 type 2 PRCCs) were analyzed and compared retrospectively. RESULTS Xp11.2 RCC more frequently affected young (30.7 ± 8.7 years) women (16/25, 64%) with gross hematuria (12/25, 48%), while PRCC more frequently involved middle-aged (54.8 ± 11.1 years) men (28/39, 71.8%) asymptomatically. Xp11.2 RCC tended to be heterogeneous density with some showing circular calcification. Lesion sizes of Xp11.2 RCC (5.4 ± 2.2 cm) and type 2 PRCC (5.7 ± 2.5 cm) were significantly larger than that of type 1 PRCC (3.8 ± 1.8 cm). Xp11.2 RCC contained more cystic components (22/25, 88%) than type 1 PRCC (all solid) and type 2 PRCC (9/24, 36.0%). Type 1 PRCC (13/15, 86.7%) and Xp11.2 RCC (21/25, 84.0%) showed more clear boundary than type 2 PRCC (12/24, 50.0%). CONCLUSION CT features including diameter, boundary, attenuation, nature, and circular calcification of the tumor, combined with demographic information and symptoms, may be useful to differentiate Xp11.2 RCC from different subtypes of PRCC.
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Blute ML, Drewry A, Abel EJ. Percutaneous biopsy for risk stratification of renal masses. Ther Adv Urol 2015; 7:265-74. [PMID: 26425141 DOI: 10.1177/1756287215585273] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
The increased use of abdominal imaging has led to identification of more patients with incidental renal masses, and renal mass biopsy (RMB) has become a popular method to evaluate unknown renal masses prior to definitive treatment. Pathologic data obtained from biopsy may be used to guide decisions for treatment and may include the presence or absence of malignant tumor, renal cell cancer subtype, tumor grade and the presence of other aggressive pathologic features. However, prior to using RMB for risk stratification, it is important to understand whether RMB findings are equivalent to pathologic analysis of surgical specimens and to identify any potential limitations of this approach. This review outlines the advantages and limitations of the current studies that evaluate RMB as a guide for treatment decision in patients with unknown renal masses. In multiple series, RMB has demonstrated low morbidity and a theoretical reduction in cost, if patients with benign tumors are identified from biopsy and can avoid subsequent treatment. However, when considering the routine use of RMB for risk stratification, it is important to note that biopsy may underestimate risk in some patients by undergrading, understaging or failing to identify aggressive tumor features. Future studies should focus on developing treatment algorithms that integrate RMB to identify the optimal use in risk stratification of patients with unknown renal masses.
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Affiliation(s)
- Michael L Blute
- Department of Urology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Anna Drewry
- Department of Urology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Edwin Jason Abel
- Assistant Professor, Department of Urology, University of Wisconsin School of Medicine and Public Health, 1685 Highland Avenue, Madison, WI 53705-2281, USA
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Xing Y, Wei RB, Tang L, Yang Y, Zheng XY, Wang ZC, Gao YW. Protective effect of salidroside on contrast-induced nephropathy in comparison with N-acetylcysteine and its underlying mechanism. Chin J Integr Med 2015; 21:266-73. [DOI: 10.1007/s11655-015-2137-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2014] [Indexed: 01/23/2023]
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Serum and urine biomarkers for human renal cell carcinoma. DISEASE MARKERS 2015; 2015:251403. [PMID: 25922552 PMCID: PMC4398943 DOI: 10.1155/2015/251403] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 12/30/2014] [Accepted: 03/26/2015] [Indexed: 12/16/2022]
Abstract
Renal cell carcinoma (RCC) diagnosis is mostly achieved incidentally by imaging provided for unrelated clinical reasons. The surgical management of localized tumors has reported excellent results. The therapy of advanced RCC has evolved considerably over recent years with the widespread use of the so-called “targeted therapies.” The identification of molecular markers in body fluids (e.g., sera and urine), which can be used for screening, diagnosis, follow-up, and monitoring of drug-based therapy in RCC patients, is one of the most ambitious challenges in oncologic research. Although there are some promising reports about potential biomarkers in sera, there is limited available data regarding urine markers for RCC. The following review reports some of the most promising biomarkers identified in the biological fluids of RCC patients.
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Bae JM. Epidemiological evidences on overdiagnosis of prostate and kidney cancers in Korean. Epidemiol Health 2015; 37:e2015015. [PMID: 25773442 PMCID: PMC4398977 DOI: 10.4178/epih/e2015015] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2015] [Accepted: 03/07/2015] [Indexed: 12/22/2022] Open
Abstract
OBJECTIVES: The prostate specific antigen test is widely used as the main method of screening prostate cancer in Korea. Additionally, the use of ultrasound sonography may lead to overdiagnosis of kidney cancer as well as thyroid cancer. This study aimed to highlight epidemiological evidences regarding overdiagnosis of prostate and kidney cancers in Korean. METHODS: The annual trends of national incidence and mortality of prostate and kidney cancers provided by the Korean Statistical Information Service were evaluated. RESULTS: The rate of increase in the incidence of prostate and kidney cancer was 6 and 5 times higher than that of mortality between 2000 and 2011, respectively. Additionally, the age group showing the highest incidence in prostate cancer shifted from 85 years and older to 75-79 years. CONCLUSIONS: This evidence suggests that prostate and kidney cancers are overdiagnosed in Korea. Further research in this area, using national cancer registry databases, should be encouraged to prevent overdiagnosis.
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Affiliation(s)
- Jong-Myon Bae
- Department of Preventive Medicine, Jeju National University School of Medicine, Jeju, Korea
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Role of MRI in indeterminate renal mass: diagnostic accuracy and impact on clinical decision making. Int Urol Nephrol 2015; 47:585-93. [DOI: 10.1007/s11255-015-0928-x] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2014] [Accepted: 01/30/2015] [Indexed: 01/28/2023]
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Malkan AD, Loh A, Bahrami A, Navid F, Coleman J, Green DM, Davidoff AM, Sandoval JA. An approach to renal masses in pediatrics. Pediatrics 2015; 135:142-58. [PMID: 25452658 DOI: 10.1542/peds.2014-1011] [Citation(s) in RCA: 48] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Renal masses in children may be discovered during routine clinical examination or incidentally during the course of diagnostic or therapeutic procedures for other causes. Renal cancers are rare in the pediatric population and include a spectrum of pathologies that may challenge the clinician in choosing the optimal treatment. Correct identification of the lesion may be difficult, and the appropriate surgical procedure is paramount for lesions suspected to be malignant. The purpose of this article is to provide a comprehensive overview regarding the spectrum of renal tumors in the pediatric population, both benign and malignant, and their surgical management.
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Affiliation(s)
| | | | | | - Fariba Navid
- Oncology, Department of Pediatrics, College of Medicine, University of Tennessee Health Science Center, Memphis, Tennessee
| | | | - Daniel M Green
- Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, Tennessee; and
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Mucinous tubular and spindle cell carcinoma of the kidney: the contrast-enhanced ultrasonography and CT features of six cases and review of the literature. Int Urol Nephrol 2014; 46:2311-7. [DOI: 10.1007/s11255-014-0814-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2014] [Accepted: 08/05/2014] [Indexed: 10/24/2022]
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Nephrectomy or nephron-sparing surgery - how to decide? Contemp Oncol (Pozn) 2013; 17:88-93. [PMID: 23788969 PMCID: PMC3685347 DOI: 10.5114/wo.2013.33781] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2011] [Revised: 03/19/2012] [Accepted: 05/29/2012] [Indexed: 11/23/2022] Open
Abstract
Aim of the study Radical nephrectomy in the treatment of renal cell carcinoma (RCC) remains the gold standard, but nephron-sparing surgery (NSS) is still increasing in importance. The main goal of this study was to compare the diagnostic accuracy of ultrasound and multi-detector computed tomography in RCC staging and its influence on deciding about further patient treatment. Material and methods 87 patients (age range 27–90 years; median 61.5) underwent ultrasound (US) scan and contrast-enhanced computed tomography (CE-CT) of the abdomen and pelvis. 28 patients were qualified for NSS. The remaining group of patients underwent nephrectomy. Results NSS was performed more frequently among patients with lesions in the lower pole of the kidney and there was no infiltration to the calyx and renal pelvis. Radical nephrectomy (RN) was pursued in cases with lesions in the central or upper pole. Lesion diameter in patients qualified for NSS was smaller than in patients qualified for radical nephrectomy. Conclusions Determining the relationship between tumour and adjacent structures is not a simple matter. According to our study, 50% of CT results differ from histopathology assessment. Tumour diameter determined in CT examination is larger than in ultrasound and histopathological measurements while US scanning tends to underestimate tumour size in relation to histopathological assessment.
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Xing W, He X, Kassir MA, Chen J, Ding J, Sun J, Hu J, Zhang Z, Haacke EM, Dai Y. Evaluating hemorrhage in renal cell carcinoma using susceptibility weighted imaging. PLoS One 2013; 8:e57691. [PMID: 23451259 PMCID: PMC3581533 DOI: 10.1371/journal.pone.0057691] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2012] [Accepted: 01/28/2013] [Indexed: 11/30/2022] Open
Abstract
Background Intratumoral hemorrhage is a frequent occurrence in renal cell carcinoma and is an indicator of tumor subtype. We hypothesize that susceptibility weighted imaging (SWI) is sensitive to hemorrhage in renal cell carcinoma and can give a more diagnostic image when compared to conventional imaging techniques. Materials and Methods A retrospective review of 32 patients with clear cell renal cell carcinoma was evaluated. All patients underwent magnetic resonance imaging (MRI) and 22 out of 32 patients also underwent a computed tomography (CT) scan. Hemorrhage was classified into 3 different categories according to shape and distribution. Histopathology was obtained from all masses by radical nephrectomy. The ability to detect the presence of hemorrhage using CT, non-contrast conventional MRI and SWI was evaluated, and the patterns of hemorrhage were compared. Results Using pathologic results as the gold standard, the sensitivities of non-contrast conventional MRI, SWI and CT in detecting hemorrhage in clear cell renal cell carcinoma were 65.6%, 100% and 22.7%, respectively. Accuracy of non-contrast conventional MRI and SWI in evaluating hemorrhagic patterns were 31.3% and 100%, respectively. Conclusion These results demonstrate that SWI can better reveal hemorrhage and characterize the pattern more accurately than either non-contrast conventional MRI or CT. This suggests that SWI is the technique of choice for detecting hemorrhagic lesions in patients with renal cancer.
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Affiliation(s)
- Wei Xing
- Department of Radiology, Affiliated Third Hospital of Suzhou University, Changzhou, Jiangsu, China
| | - Xiaozhou He
- Department of Urology, Affiliated Third Hospital of Suzhou University, Changzhou, Jiangsu, China
- * E-mail:
| | - Mohammad A. Kassir
- Department of Radiology, Wayne State University, Detroit, Michigan, United States of America
| | - Jie Chen
- Department of Radiology, Affiliated Third Hospital of Suzhou University, Changzhou, Jiangsu, China
| | - Jiule Ding
- Department of Radiology, Affiliated Third Hospital of Suzhou University, Changzhou, Jiangsu, China
| | - Jun Sun
- Department of Radiology, Affiliated Third Hospital of Suzhou University, Changzhou, Jiangsu, China
| | - Jiani Hu
- Department of Radiology, Wayne State University, Detroit, Michigan, United States of America
| | - Zishu Zhang
- Department of Radiology, Wayne State University, Detroit, Michigan, United States of America
| | - E. Mark Haacke
- Department of Radiology, Wayne State University, Detroit, Michigan, United States of America
| | - Yongming Dai
- Siemens Healthcare China, MR Collaboration NE Asia, Shanghai, China
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Kim JH, Bae JH, Lee KW, Kim ME, Park SJ, Park JY. Predicting the histology of small renal masses using preoperative dynamic contrast-enhanced magnetic resonance imaging. Urology 2012; 80:872-6. [PMID: 22854134 DOI: 10.1016/j.urology.2012.06.001] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2012] [Revised: 05/22/2012] [Accepted: 06/01/2012] [Indexed: 10/28/2022]
Abstract
OBJECTIVE To study whether magnetic resonance imaging can predict the histologic type of small renal cell carcinoma. METHODS Dynamic contrast-enhanced magnetic resonance imaging was performed in 63 patients with computed tomography- or ultrasonography-suspected small (≤ 4 cm) renal cell carcinoma from February 2008 to February 2010. Percentage signal intensity change, tumor-to-cortex enhancement index during precontrast phase, corticomedullary phase, and nephrogenic phase were investigated. RESULTS Among the 60 patients, 42 were proven to have clear cell renal cell carcinoma and 18 patients were proven to have non-clear cell renal cell carcinoma (10 patients with papillary renal cell carcinoma, 8 patients with chromophobe renal cell carcinoma). The percentage signal intensity change in the clear cell type was higher only in the corticomedullary phase (P = .002). The tumor-to-cortex enhancement index in the clear cell type was higher in the corticomedullary and nephrogenic phases (P = .007 and P = .041, respectively). The most valuable marker was percentage signal intensity change in the corticomedullary phase (area under the receiver operating characteristic curve 0.85). The cut-off value of percentage signal intensity change in the corticomedullary phase was 173%, and the sensitivity and specificity were 81% and 87.5%, respectively. CONCLUSION Dynamic contrast-enhanced magnetic resonance imaging could be useful for discriminating the clear cell type from non-clear cell type in small renal cell carcinoma with high sensitivity and specificity.
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Affiliation(s)
- Jae Heon Kim
- Department of Urology, Soonchunhyang University Hospital, Seoul, Korea
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Small renal mass: what the urologist needs to know for treatment planning and assessment of treatment results. AJR Am J Roentgenol 2011; 196:1267-73. [PMID: 21606288 DOI: 10.2214/ajr.10.6336] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
OBJECTIVE Small renal mass is a new distinct clinical entity. Detection of these tumors has increased with increased use of imaging. CONCLUSION We know that a proportion of these tumors are not renal cell carcinoma, and imaging-guided biopsy is being increasingly used for treatment planning. The objectives of this review are to provide an update on our current understanding of the biology of small renal masses and to review approaches to the diagnosis and treatment of these lesions.
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Spreafico F, Collini P, Terenziani M, Marchianò A, Piva L. Renal cell carcinoma in children and adolescents. Expert Rev Anticancer Ther 2011; 10:1967-78. [PMID: 21110762 DOI: 10.1586/era.10.188] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Although rare in children and adolescents, renal cell carcinomas (RCCs) raise important questions concerning the best treatment approach and accurate pathologic classification. The differences emerging between childhood and adulthood RCC probably prevent any direct generalized application of therapies to children that are validated for adults. The translocation type of RCC, which forms a distinct category characterized by translocations involving Xp11.2 or, less frequently, 6p21, has recently emerged as the predominant type of RCC in children and adolescents, whereas it is rarely diagnosed in adults. This new finding emphasizes how important it is to prospectively classify RCCs in children with standardized 'modern' diagnoses. The standard cornerstone of therapy for RCC in children and adolescents remains radical nephrectomy. Nephron-sparing surgery is currently recommended in adults for selected small-volume tumors, but additional data are needed before this experience can be extensively transferred to the pediatric population. The therapeutic value of complete retroperitoneal lymph node dissection is still controversial, especially in patients without suspected nodal involvement, be they adults or children. The backbone of systemic therapies for adult RCC has recently been changed by the introduction of drugs designed to target tumor-related angiogenesis and signal transduction. It is worth noting that the largest clinical efficacy trials on targeted molecules have been conducted on clear-cell RCC. While targeted drugs have become the standard of care for adult metastatic RCC, there are currently no published reports on their role in children, and their use should be considered for patients with unresectable metastatic or advanced-stage RCC. On the other hand, the utility of targeted therapies in the adjuvant setting remains to be seen for both adults and children.
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Byrne M, Mallipeddi R, Pichert G, Whittaker S. Birt-Hogg-Dubé syndrome with a renal angiomyolipoma: Further evidence of a relationship between Birt-Hogg-Dubé syndrome and tuberous sclerosis complex. Australas J Dermatol 2011; 53:151-4. [DOI: 10.1111/j.1440-0960.2011.00738.x] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Current world literature. Curr Opin Urol 2011; 21:166-72. [PMID: 21285721 DOI: 10.1097/mou.0b013e328344100a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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