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Sofia D, Zhou Q, Shahriyari L. Mathematical and Machine Learning Models of Renal Cell Carcinoma: A Review. Bioengineering (Basel) 2023; 10:1320. [PMID: 38002445 PMCID: PMC10669004 DOI: 10.3390/bioengineering10111320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 11/08/2023] [Accepted: 11/13/2023] [Indexed: 11/26/2023] Open
Abstract
This review explores the multifaceted landscape of renal cell carcinoma (RCC) by delving into both mechanistic and machine learning models. While machine learning models leverage patients' gene expression and clinical data through a variety of techniques to predict patients' outcomes, mechanistic models focus on investigating cells' and molecules' interactions within RCC tumors. These interactions are notably centered around immune cells, cytokines, tumor cells, and the development of lung metastases. The insights gained from both machine learning and mechanistic models encompass critical aspects such as signature gene identification, sensitive interactions in the tumors' microenvironments, metastasis development in other organs, and the assessment of survival probabilities. By reviewing the models of RCC, this study aims to shed light on opportunities for the integration of machine learning and mechanistic modeling approaches for treatment optimization and the identification of specific targets, all of which are essential for enhancing patient outcomes.
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Affiliation(s)
| | | | - Leili Shahriyari
- Department of Mathematics and Statistics, University of Massachusetts Amherst, Amherst, MA 01003, USA; (D.S.); (Q.Z.)
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2
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Gallo-Bernal S, Kilcoyne A, Gee MS, Paul E. Cystic kidney disease in tuberous sclerosis complex: current knowledge and unresolved questions. Pediatr Nephrol 2023; 38:3253-3264. [PMID: 36445479 DOI: 10.1007/s00467-022-05820-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 11/02/2022] [Accepted: 11/02/2022] [Indexed: 12/02/2022]
Abstract
Tuberous sclerosis complex (TSC) is an autosomal dominant disorder with an estimated incidence of one in 5000 to 10,000 live births worldwide. Two million people of all races and genders are estimated to have TSC secondary to mutations in one of two tumor suppressor genes, TSC1 or TSC2. The respective TSC1 and 2 gene products - hamartin and tuberin - form cytoplasmic heterodimers that inhibit mTOR-mediated cell growth and division. When mTOR inhibition is lost, people with TSC develop characteristic and usually benign tumors in various organ systems. Kidney tumors and cysts are common, particularly in the setting of TSC2 gene mutations. In most TSC patients, the number of kidney cysts is limited, their morphology is simple, their size is small, and their clinical significance is negligible. In some, cyst morphology progresses from simple to complex with the risk of malignant transformation. In others, aggressive accumulation and growth of kidney cysts can cause hypertension, impaired kidney function, and progression to kidney failure. This educational review summarizes current knowledge and remaining open questions regarding cystic kidney disease in TSC, emphasizing detection, classification, surveillance, and treatment options.
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Affiliation(s)
- Sebastian Gallo-Bernal
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
- Department of Radiology, Harvard Medical School, Boston, MA, USA
| | - Aoife Kilcoyne
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
- Department of Radiology, Harvard Medical School, Boston, MA, USA
| | - Michael S Gee
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
- Department of Radiology, Harvard Medical School, Boston, MA, USA
| | - Elahna Paul
- Department of Pediatric Nephrology, Massachusetts General Hospital, Boston, MA, USA.
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA.
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3
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Murakami S, Nagawa K, Inui T, Yamamoto A, Suzuki M, Koga F, Motoi T, Takaki Y. Case Reports of TFE3-Rearranged Renal Cell Carcinoma: FDG-PET Uptake Might Help Diagnosis. J Kidney Cancer VHL 2023; 10:61-68. [PMID: 37789903 PMCID: PMC10542702 DOI: 10.15586/jkcvhl.v10i3.266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Accepted: 09/10/2023] [Indexed: 10/05/2023] Open
Abstract
Translocation and transcription factor E3 (TFE3)-rearranged renal cell carcinoma (RCC) is a rare subtype of RCCs characterised by the fusion of the TFE3 transcription factor genes on chromosome Xp11.2 with one of the multiple genes. TFE3-rearranged RCC occurs mainly in children and adolescents, although middle-aged cases are also observed. As computed tomography (CT)/magnetic resonance imaging (MRI) findings of TFE3-rearranged RCC overlap with those of other RCCs, differential diagnosis is often challenging. In the present case reports, we highlighted the features of the fluorine-18-labelled fluorodeoxyglucose positron emission tomography with CT (FDG PET-CT) in TFE3-rearranged RCCs. Due to the rarity of the disease, FDG PET-CT features of TFE3-rearranged RCC have not yet been reported. In our cases, FDG PET-CT showed high standardised uptake values (SUVmax) of 7.14 and 6.25 for primary tumours. This might imply that TFE3-rearranged RCC has high malignant potential. This is conceivable when the molecular background of the disease is considered in terms of glucose metabolism. Our cases suggest that a high SUVmax of the primary tumour is a clinical characteristic of TFE3-rearranged RCCs.
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Affiliation(s)
- Sho Murakami
- Department of Radiology, Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital, Tokyo, Japan
| | - Keita Nagawa
- Department of Radiology, Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital, Tokyo, Japan
| | - Takanori Inui
- Department of Radiology, Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital, Tokyo, Japan
| | - Aya Yamamoto
- Department of Radiology, Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital, Tokyo, Japan
| | - Mizuka Suzuki
- Department of Radiology, Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital, Tokyo, Japan
| | - Fumitaka Koga
- Department of Urology, Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital, Tokyo, Japan
| | - Toru Motoi
- Department of Pathology, Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital, Tokyo, Japan
| | - Yasunobu Takaki
- Department of Radiology, Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital, Tokyo, Japan
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Zhu Y, Li H, Huang Y, Fu W, Wang S, Sun N, Dong D, Tian J, Peng Y. CT-based identification of pediatric non-Wilms tumors using convolutional neural networks at a single center. Pediatr Res 2023; 94:1104-1110. [PMID: 36959318 DOI: 10.1038/s41390-023-02553-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 12/21/2022] [Accepted: 01/05/2023] [Indexed: 03/25/2023]
Abstract
BACKGROUND Deep learning (DL) is more and more widely used in children's medical treatment. In this study, we have developed a computed tomography (CT)-based DL model for identifying undiagnosed non-Wilms tumors (nWTs) from pediatric renal tumors. METHODS This study collected and analyzed the preoperative clinical data and CT images of pediatric renal tumor patients diagnosed by our center from 2008 to 2020, and established a DL model to identify nWTs noninvasively. RESULTS A total of 364 children who had been confirmed by histopathology with renal tumors from our center were enrolled, including 269 Wilms tumors (WTs) and 95 nWTs. For DL model development, all cases were randomly allocated to training set (218 cases), validation set (73 cases), and test set (73 cases). In the test set, the DL model achieved area under the curve of 0.831 (95% CI: 0.712-0.951) in discriminating WTs from nWTs, with the accuracy, sensitivity, and specificity of 0.781, 0.563, and 0.842, respectively. The sensitivity of our model was higher than a radiologist with 15 years of experience. CONCLUSIONS We presented a DL model for identifying undiagnosed nWTs from pediatric renal tumors, with the potential to improve the image-based diagnosis. IMPACT Deep learning model was used for the first time to identify pediatric renal tumors in this study. Deep learning model can identify non-Wilms tumors from pediatric renal tumors. Deep learning model based on computed tomography images can improve tumor diagnosis rate.
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Affiliation(s)
- Yupeng Zhu
- Department of Radiology, MOE Key Laboratory of Major Diseases in Children, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China
- Department of Radiology, Peking University Third Hospital, Beijing, 100191, China
| | - Hailin Li
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, 100191, China
- CAS Key Laboratory of Molecular Imaging, the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
| | - Yangyue Huang
- Department of Pediatric Urology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China
| | - Wangxing Fu
- Department of Radiology, MOE Key Laboratory of Major Diseases in Children, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China
| | - Siwen Wang
- CAS Key Laboratory of Molecular Imaging, the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Ning Sun
- Department of Pediatric Urology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China.
| | - Di Dong
- CAS Key Laboratory of Molecular Imaging, the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Jie Tian
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, 100191, China.
- CAS Key Laboratory of Molecular Imaging, the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
- Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710126, China.
- Zhuhai Precision Medical Center, Zhuhai People's Hospital (affiliated with Jinan University), Zhuhai, 519000, China.
| | - Yun Peng
- Department of Radiology, MOE Key Laboratory of Major Diseases in Children, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China.
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Mohammed EH, Kaddourah A, Al Khori N, Djekidel M. The diagnostic value of DMSA scan in differentiating functional pseudo-tumors from malignancies in scarred kidneys: case series and literature review. BMC Nephrol 2023; 24:148. [PMID: 37237327 DOI: 10.1186/s12882-023-03113-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Accepted: 02/17/2023] [Indexed: 05/28/2023] Open
Abstract
BACKGROUND The terms "renal regenerating nodule" and "nodular compensatory hypertrophy" are used in the literature to describe functioning pseudo-tumors (FPT) in the setting of an extensively scarred kidney. FPTs are usually discovered incidentally during routine renal imaging. Differentiating these FPTs from renal neoplasms is critical but can be challenging in the setting of chronic kidney disease (CKD) given the limitations related to using contrast-based imaging. CASE SUMMARIES We report a pediatric case series of 5 CKD patients, with history of urinary tract infections, in which tumor-like lesions evolved in scarred kidneys and were incidentally discovered on routine renal imaging. These were diagnosed as FPT by utilizing dimercaptosuccinic acid (DMSA) imaging and showed stable size and appearance upon follow-up with ultrasound and MRI. CONCLUSION FPTs can be picked up on routine imaging of pediatric patients with CKD. Although larger cohort studies are needed to confirm these conclusions, our case series supports the evidence that DMSA scan showing uptake at the site of the mass can be a useful tool to suggest the diagnosis of FPTs in children with kidney scarring, and that SPECT DMSA scan adds more precision in picking up and accurately localizing FPTs compared to planar DMSA.
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Affiliation(s)
- Enas Hussein Mohammed
- Department of Pediatrics, Division of Nephrology and Hypertension, Sidra Medicine, Doha, Qatar.
| | - Ahmad Kaddourah
- Department of Pediatrics, Division of Nephrology and Hypertension, Sidra Medicine, Doha, Qatar
- Department of Pediatrics, Weill Cornel Medicine University, Doha, Qatar
| | - Noor Al Khori
- Department of Radiology, Division of Body Imaging, Sidra Medicine, Doha, Qatar
| | - Mehdi Djekidel
- Department of Radiology, Division of Nuclear Medicine, Northwell, New York, USA
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Han DS, Walker JP, Nicklawsky A, Boxley P, Halstead NV, Tonzi M, Hecht SL, Staley A, Eguchi M, Cockburn MG, Roach JP, Saltzman AF, Cost NG. Pediatric Small Renal Masses: Can Tumor Size Predict Histology and the Potential for Nephron-sparing Surgery? J Urol 2023; 209:582-590. [PMID: 36445021 PMCID: PMC9918661 DOI: 10.1097/ju.0000000000003092] [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: 06/10/2022] [Accepted: 11/18/2022] [Indexed: 11/30/2022]
Abstract
PURPOSE The majority of children with unilateral renal masses suspicious for malignancy undergo radical nephrectomy, while nephron-sparing surgery is reserved for select cases. We investigated the impact of tumor size on the probability of histology. We hypothesized that pediatric small renal masses are more likely benign or non-Wilms tumor, thus potentially appropriate for nephron-sparing surgery. MATERIALS AND METHODS The SEER (Surveillance, Epidemiology, and End Results) database was analyzed for patients aged 0-18 years diagnosed with a unilateral renal mass from 2000-2016. Statistical analysis was performed to help determine a tumor size cut point to predict Wilms tumor and assess the predictive value of tumor size on Wilms tumor histology. Additionally, a retrospective review was performed of patients 0-18 years old who underwent surgery for a unilateral renal mass at a single institution from 2005-2019. Statistical analysis was performed to assess the predictive value of tumor size on final histology. RESULTS From the SEER analysis, 2,016 patients were included. A total of 1,672 tumors (82.9%) were Wilms tumor. Analysis revealed 4 cm to be a suitable cut point to distinguish non-Wilms tumor. Tumors ≥4 cm were more likely Wilms tumor (OR 2.67, P ≤ .001), but this was driven by the statistical significance in children 5-9 years old. From the institutional analysis, 134 patients were included. Ninety-seven tumors (72.3%) were Wilms tumor. Tumors ≥4 cm had higher odds of being Wilms tumor (OR 30.85, P = .001), malignant (OR 6.75, P = .005), and having radical nephrectomy-appropriate histology (OR 46.79, P < .001). CONCLUSIONS The probability that a pediatric unilateral renal mass is Wilms tumor increases with tumor size. Four centimeters is a logical cut point to start the conversation around defining pediatric small renal masses and may help predict nephron-sparing surgery-appropriate histology.
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Affiliation(s)
- Daniel S. Han
- Stanford University School of Medicine and Lucile Packard Children’s Hospital, Palo Alto, CA
| | - Jonathan P. Walker
- University of Tennessee College of Medicine Chattanooga, Chattanooga, TN
| | | | - Peter Boxley
- University of Colorado School of Medicine and Children’s Hospital Colorado, Aurora, CO
| | - N. Valeska Halstead
- University of Colorado School of Medicine and Children’s Hospital Colorado, Aurora, CO
| | - Michael Tonzi
- University of Tennessee College of Medicine Chattanooga, Chattanooga, TN
| | | | - Alyse Staley
- University of Colorado Cancer Center, Aurora, CO
| | - Megan Eguchi
- University of Colorado Cancer Center, Aurora, CO
| | - Myles G. Cockburn
- University of Southern California, Keck School of Medicine, Los Angeles, CA
| | - Jonathan P. Roach
- Surgical Oncology Program of the Children’s Hospital Colorado, Aurora, CO
| | | | - Nicholas G. Cost
- University of Colorado Cancer Center, Aurora, CO
- University of Colorado School of Medicine and Children’s Hospital Colorado, Aurora, CO
- Surgical Oncology Program of the Children’s Hospital Colorado, Aurora, CO
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MRI Characteristics of Pediatric and Young-Adult Renal Cell Carcinoma: A Single-Center Retrospective Study and Literature Review. Cancers (Basel) 2023; 15:cancers15051401. [PMID: 36900194 PMCID: PMC10000563 DOI: 10.3390/cancers15051401] [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: 01/11/2023] [Revised: 02/09/2023] [Accepted: 02/17/2023] [Indexed: 02/25/2023] Open
Abstract
Pediatric renal cell carcinoma (RCC) is a rare malignancy. Magnetic resonance imaging (MRI) is the preferred imaging modality for assessment of these tumors. The previous literature has suggested that cross-sectional-imaging findings differ between RCC and other pediatric renal tumors and between RCC subtypes. However, studies focusing on MRI characteristics are limited. Therefore, this study aims to identify MRI characteristics of pediatric and young-adult RCC, through a single-center case series and literature review. Six identified diagnostic MRI scans were retrospectively assessed, and an extensive literature review was conducted. The included patients had a median age of 12 years (63-193 months). Among other subtypes, 2/6 (33%) were translocation-type RCC (MiT-RCC) and 2/6 (33%) were clear-cell RCC. Median tumor volume was 393 cm3 (29-2191 cm3). Five tumors had a hypo-intense appearance on T2-weighted imaging, whereas 4/6 were iso-intense on T1-weighted imaging. Four/six tumors showed well-defined margins. The median apparent diffusion coefficient (ADC) values ranged from 0.70 to 1.20 × 10-3 mm2/s. In thirteen identified articles focusing on MRI characteristics of MiT-RCC, the majority of the patients also showed T2-weighted hypo-intensity. T1-weighted hyper-intensity, irregular growth pattern and limited diffusion-restriction were also often described. Discrimination of RCC subtypes and differentiation from other pediatric renal tumors based on MRI remains difficult. Nevertheless, T2-weighted hypo-intensity of the tumor seems a potential distinctive characteristic.
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Ayaz E, Ozcan HN, Oguz B, Haliloglu M. Beyond Wilms tumor: imaging findings and outcomes of rare renal tumors in children. Pediatr Radiol 2022; 52:2557-2567. [PMID: 35760918 DOI: 10.1007/s00247-022-05422-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 05/10/2022] [Accepted: 06/02/2022] [Indexed: 10/17/2022]
Abstract
BACKGROUND Compared to Wilms, non-Wilms renal tumors in children are less well understood due to their rare occurrence which limits precise definition of the typical imaging patterns. OBJECTIVE This study aims to identify distinctive imaging findings, demographic characteristics and prognosis of pediatric non-Wilms renal tumors. MATERIALS AND METHODS From January 2007 to December 2018, 207 patients with a diagnosis of primary kidney neoplasia were yielded from our radiology archive, 171 of whom were diagnosed with Wilms tumor, 4 with angiomyolipoma and one with nephrogenic rest. The remaining 31 patients with a diagnosis of primary kidney neoplasia were enrolled in this retrospective study. Imaging data, age, gender, prognosis and findings regarding follow-up were noted. RESULTS Eight patients had renal cell carcinoma, seven had clear cell sarcoma, six had mesoblastic nephroma, four had rhabdoid tumor, three had desmoplastic small round cell tumor, two had cystic nephroma and one had metanephric stromal tumor. The age of diagnosis was > 8 years for renal cell carcinoma and desmoplastic small round cell tumor, < 5 years for rhabdoid tumor and < 7 months for mesoblastic nephroma. There was no gender preference for any tumor type. The prognosis for rhabdoid tumor was extremely poor in that all the patients followed up in our institute were deceased, whereas no recurrence was found in other tumors. Translocation type renal cell carcinoma had lower T2-weighted signal intensity, mesoblastic nephroma was a predominantly cystic mass, clear cell sarcoma was generally larger at presentation and extensive amorphous calcifications were seen in desmoplastic small round cell tumor. CONCLUSION For the differential diagnosis of pediatric non-Wilms renal tumors, age is the most important factor, followed by propensity to metastasize/aggressive behavior of the mass. Knowledge of specific imaging findings of these tumors may help to narrow the differential diagnosis.
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Affiliation(s)
- Ercan Ayaz
- Division of Pediatric Radiology, Department of Radiology, Hacettepe University School of Medicine, Sıhhiye, 06230, Ankara, Turkey. .,Department of Radiology, Diyarbakır Children's Hospital, Diyarbakır, Turkey.
| | - H Nursun Ozcan
- Division of Pediatric Radiology, Department of Radiology, Hacettepe University School of Medicine, Sıhhiye, 06230, Ankara, Turkey
| | - Berna Oguz
- Division of Pediatric Radiology, Department of Radiology, Hacettepe University School of Medicine, Sıhhiye, 06230, Ankara, Turkey
| | - Mithat Haliloglu
- Division of Pediatric Radiology, Department of Radiology, Hacettepe University School of Medicine, Sıhhiye, 06230, Ankara, Turkey
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Solomon N, Segaran N, Badawy M, Elsayes KM, Pellerito JS, Katz DS, Moshiri M, Revzin MV. Manifestations of Sickle Cell Disorder at Abdominal and Pelvic Imaging. Radiographics 2022; 42:1103-1122. [PMID: 35559660 DOI: 10.1148/rg.210154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Sickle cell disorder (SCD) refers to a spectrum of hematologic disorders that cause a characteristic clinical syndrome affecting the entire body. It is the most prevalent monogenetic hemoglobinopathy worldwide, with a wide range of focal and systemic expressions. Hemoglobin gene mutation leads to the formation of abnormal sickle-shaped red blood cells, which cause vascular occlusion and result in tissue and organ ischemia and infarction. Recurrent episodes of acute illness lead to progressive multisystem organ damage and dysfunction. Vaso-occlusion, hemolysis, and infection as a result of functional asplenia are at the core of the disease manifestations. Imaging plays an essential role in the diagnosis and management of SCD-related complications in the abdomen and pelvis. A thorough understanding of the key imaging findings of SCD complications involving hepatobiliary, gastrointestinal, genitourinary, and musculoskeletal systems is crucial to timely recognition and accurate diagnosis. The authors aim to familiarize the radiologist with the SCD spectrum, focusing on the detection and evaluation of manifestations that may appear at imaging of the abdomen and pelvis. The topics the authors address include (a) the pathophysiology of the disease, (b) the placement of SCD among hemoglobinopathies, (c) the clinical presentation of SCD, (d) the role of imaging in the evaluation and diagnosis of patients with SCD who present with abdominal and pelvic manifestations in addition to extraperitoneal manifestations detectable at abdominal or pelvic imaging, (e) imaging features associated with common and uncommon sequelae of SCD in abdominal and pelvic imaging studies, and (f) a brief overview of management and treatment of patients with SCD. Online supplemental material is available for this article. ©RSNA, 2022.
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Affiliation(s)
- Nadia Solomon
- From the Department of Radiology and Biomedical Imaging, 333 Cedar Street, PO Box 208042 Room TE-2, New Haven, CT 06520 (N. Solomon, M.V.R.); Stanford University, Stanford, Calif (N. Segaran); Department of Imaging Physics (M.B.) and Department of Abdominal Imaging (K.M.E.), University of Texas MD Anderson Cancer Center, Houston, Tex; Department of Radiology, Zucker School of Medicine at Hofstra/Northwell, Northwell Health System, Manhasset, N.Y. (J.S.P.); Department of Radiology, NYU Winthrop University Hospital, Mineola, N.Y. (D.S.K.); and Department of Radiology, University of Washington Medical Center, Seattle Wash. (M.M.)
| | - Nicole Segaran
- From the Department of Radiology and Biomedical Imaging, 333 Cedar Street, PO Box 208042 Room TE-2, New Haven, CT 06520 (N. Solomon, M.V.R.); Stanford University, Stanford, Calif (N. Segaran); Department of Imaging Physics (M.B.) and Department of Abdominal Imaging (K.M.E.), University of Texas MD Anderson Cancer Center, Houston, Tex; Department of Radiology, Zucker School of Medicine at Hofstra/Northwell, Northwell Health System, Manhasset, N.Y. (J.S.P.); Department of Radiology, NYU Winthrop University Hospital, Mineola, N.Y. (D.S.K.); and Department of Radiology, University of Washington Medical Center, Seattle Wash. (M.M.)
| | - Mohamed Badawy
- From the Department of Radiology and Biomedical Imaging, 333 Cedar Street, PO Box 208042 Room TE-2, New Haven, CT 06520 (N. Solomon, M.V.R.); Stanford University, Stanford, Calif (N. Segaran); Department of Imaging Physics (M.B.) and Department of Abdominal Imaging (K.M.E.), University of Texas MD Anderson Cancer Center, Houston, Tex; Department of Radiology, Zucker School of Medicine at Hofstra/Northwell, Northwell Health System, Manhasset, N.Y. (J.S.P.); Department of Radiology, NYU Winthrop University Hospital, Mineola, N.Y. (D.S.K.); and Department of Radiology, University of Washington Medical Center, Seattle Wash. (M.M.)
| | - Khaled M Elsayes
- From the Department of Radiology and Biomedical Imaging, 333 Cedar Street, PO Box 208042 Room TE-2, New Haven, CT 06520 (N. Solomon, M.V.R.); Stanford University, Stanford, Calif (N. Segaran); Department of Imaging Physics (M.B.) and Department of Abdominal Imaging (K.M.E.), University of Texas MD Anderson Cancer Center, Houston, Tex; Department of Radiology, Zucker School of Medicine at Hofstra/Northwell, Northwell Health System, Manhasset, N.Y. (J.S.P.); Department of Radiology, NYU Winthrop University Hospital, Mineola, N.Y. (D.S.K.); and Department of Radiology, University of Washington Medical Center, Seattle Wash. (M.M.)
| | - John S Pellerito
- From the Department of Radiology and Biomedical Imaging, 333 Cedar Street, PO Box 208042 Room TE-2, New Haven, CT 06520 (N. Solomon, M.V.R.); Stanford University, Stanford, Calif (N. Segaran); Department of Imaging Physics (M.B.) and Department of Abdominal Imaging (K.M.E.), University of Texas MD Anderson Cancer Center, Houston, Tex; Department of Radiology, Zucker School of Medicine at Hofstra/Northwell, Northwell Health System, Manhasset, N.Y. (J.S.P.); Department of Radiology, NYU Winthrop University Hospital, Mineola, N.Y. (D.S.K.); and Department of Radiology, University of Washington Medical Center, Seattle Wash. (M.M.)
| | - Douglas S Katz
- From the Department of Radiology and Biomedical Imaging, 333 Cedar Street, PO Box 208042 Room TE-2, New Haven, CT 06520 (N. Solomon, M.V.R.); Stanford University, Stanford, Calif (N. Segaran); Department of Imaging Physics (M.B.) and Department of Abdominal Imaging (K.M.E.), University of Texas MD Anderson Cancer Center, Houston, Tex; Department of Radiology, Zucker School of Medicine at Hofstra/Northwell, Northwell Health System, Manhasset, N.Y. (J.S.P.); Department of Radiology, NYU Winthrop University Hospital, Mineola, N.Y. (D.S.K.); and Department of Radiology, University of Washington Medical Center, Seattle Wash. (M.M.)
| | - Mariam Moshiri
- From the Department of Radiology and Biomedical Imaging, 333 Cedar Street, PO Box 208042 Room TE-2, New Haven, CT 06520 (N. Solomon, M.V.R.); Stanford University, Stanford, Calif (N. Segaran); Department of Imaging Physics (M.B.) and Department of Abdominal Imaging (K.M.E.), University of Texas MD Anderson Cancer Center, Houston, Tex; Department of Radiology, Zucker School of Medicine at Hofstra/Northwell, Northwell Health System, Manhasset, N.Y. (J.S.P.); Department of Radiology, NYU Winthrop University Hospital, Mineola, N.Y. (D.S.K.); and Department of Radiology, University of Washington Medical Center, Seattle Wash. (M.M.)
| | - Margarita V Revzin
- From the Department of Radiology and Biomedical Imaging, 333 Cedar Street, PO Box 208042 Room TE-2, New Haven, CT 06520 (N. Solomon, M.V.R.); Stanford University, Stanford, Calif (N. Segaran); Department of Imaging Physics (M.B.) and Department of Abdominal Imaging (K.M.E.), University of Texas MD Anderson Cancer Center, Houston, Tex; Department of Radiology, Zucker School of Medicine at Hofstra/Northwell, Northwell Health System, Manhasset, N.Y. (J.S.P.); Department of Radiology, NYU Winthrop University Hospital, Mineola, N.Y. (D.S.K.); and Department of Radiology, University of Washington Medical Center, Seattle Wash. (M.M.)
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10
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Zhu Y, Fu W, Huang Y, Sun N, Peng Y. Imaging features and differences among the three primary malignant non-Wilms tumors in children. BMC Med Imaging 2021; 21:181. [PMID: 34847857 PMCID: PMC8638146 DOI: 10.1186/s12880-021-00715-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 11/23/2021] [Indexed: 11/24/2022] Open
Abstract
Background The pathology, treatment and prognosis of malignant non-Wilms tumors (NWTs) are different, so it is necessary to differentiate these types of tumors. The purpose of this study was to review the clinical and imaging features of malignant NWTs and features of tumor metastasis. Methods We retrospectively analyzed the CT images of 65 pediatric patients with NWTs from March 2008 to July 2020, mainly including clear cell sarcoma of the kidney (CCSK), malignant rhabdomyoma tumor of the kidney (MRTK) and renal cell carcinoma (RCC). Available pretreatment contrast-enhanced abdominal CT examinations were reviewed. The clinical features of the patients, imaging findings of the primary mass, and locoregional metastasis patterns were evaluated in correlation with pathological and surgical findings. Results The study included CCSK (22 cases), MRTK (27 cases) and RCC (16 cases). There were no significant differences observed among the sex ratios of CCSK, MRTK and RCC (all P > 0.05). Among the three tumors, the onset age of MRTK patients was the smallest, while that of RCC patients was the largest (all P < 0.05). The tumor diameter of CCSK was larger than that of MRTK and RCC (all P < 0.001). For hemorrhage and necrosis, the proportion of MRTK patients was larger than that of the other two tumors (P = 0.017). For calcification in tumors, the proportion of calcification in RCC was highest (P = 0.009). Only MRTK showed subcapsular fluid (P < 0.001). In the arterial phase, the proportion of slight enhancement in RCC was lower than that in the other two tumors (P = 0.007), and the proportion of marked enhancement was the highest (P = 0.002). In the venous phase, the proportion of slight enhancement in RCC was lower than that in the other two tumors (P < 0.001). Only CCSK had bone metastasis. There was no liver and lung metastasis in RCC. Conclusions NWTs have their own imaging and clinical manifestations. CCSK can cause vertebral metastasis, MRTK can cause subcapsular effusion, and RCC tumor density is usually high and calcification. These diagnostic points can play a role in clinical diagnosis.
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Affiliation(s)
- Yupeng Zhu
- Department of Radiology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, 56 Nanlishi Road, Xicheng District, Beijing, China, 100045
| | - Wangxing Fu
- Department of Radiology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, 56 Nanlishi Road, Xicheng District, Beijing, China, 100045
| | - Yangyue Huang
- Department of Pediatric Urology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, 56 Nanlishi Road, Xicheng District, Beijing, China, 100045
| | - Ning Sun
- Department of Pediatric Urology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, 56 Nanlishi Road, Xicheng District, Beijing, China, 100045
| | - Yun Peng
- Department of Radiology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, 56 Nanlishi Road, Xicheng District, Beijing, China, 100045.
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11
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Wang MX, Segaran N, Bhalla S, Pickhardt PJ, Lubner MG, Katabathina VS, Ganeshan D. Tuberous Sclerosis: Current Update. Radiographics 2021; 41:1992-2010. [PMID: 34534018 DOI: 10.1148/rg.2021210103] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Tuberous sclerosis complex (TSC) is a relatively rare autosomal dominant neurocutaneous disorder secondary to mutations in the TSC1 or TSC2 tumor suppressor genes. Although manifestation of the classic triad of seizures, intellectual disability, and facial angiofibromas may facilitate timely diagnosis of TSC, the multisystem features that may indicate TSC in the absence of these manifestations remain highly variable. In addition, patients with TSC are at risk of developing multiple benign and malignant tumors in various organ systems, resulting in increased morbidity and mortality. Thus, imaging plays a critical role in diagnosis, surveillance, and management of patients with TSC. It is crucial that radiologists be familiar with TSC and the various associated imaging features to avoid a delayed or incorrect diagnosis. Key manifestations include cortical dysplasias, subependymal nodules, subependymal giant cell astrocytomas, cardiac rhabdomyomas, lymphangioleiomyomatosis, and angiomyolipomas. Renal angiomyolipomas in particular can manifest with imaging features that mimic renal malignancy and pose a diagnostic dilemma. Other manifestations include dermatologic and ophthalmic manifestations, renal cysts, renal cell carcinomas, multifocal micronodular pneumocyte hyperplasia, splenic hamartomas, and other rare tumors such as perivascular epithelioid tumors. In addition to using imaging and clinical features to confirm the diagnosis, genetic testing can be performed. In this article, the molecular pathogenesis, clinical manifestations, and imaging features of TSC are reviewed. Current recommendations for management and surveillance of TSC are discussed as well. ©RSNA, 2021.
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Affiliation(s)
- Mindy X Wang
- From the Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, Pickens Academic Tower, 1400 Pressler St, Unit 1473, Houston, TX 77030-4009 (M.X.W., D.G.); Department of Radiology, Mayo Clinic Arizona, Scottsdale, Ariz (N.S.); Mallinckrodt Institute of Radiology, Section of Abdominal Imaging, Washington University School of Medicine, St Louis, Mo (S.B.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wis (P.J.P., M.G.L.); and Department of Radiology, University of Texas at San Antonio, San Antonio, Tex (V.S.K.)
| | - Nicole Segaran
- From the Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, Pickens Academic Tower, 1400 Pressler St, Unit 1473, Houston, TX 77030-4009 (M.X.W., D.G.); Department of Radiology, Mayo Clinic Arizona, Scottsdale, Ariz (N.S.); Mallinckrodt Institute of Radiology, Section of Abdominal Imaging, Washington University School of Medicine, St Louis, Mo (S.B.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wis (P.J.P., M.G.L.); and Department of Radiology, University of Texas at San Antonio, San Antonio, Tex (V.S.K.)
| | - Sanjeev Bhalla
- From the Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, Pickens Academic Tower, 1400 Pressler St, Unit 1473, Houston, TX 77030-4009 (M.X.W., D.G.); Department of Radiology, Mayo Clinic Arizona, Scottsdale, Ariz (N.S.); Mallinckrodt Institute of Radiology, Section of Abdominal Imaging, Washington University School of Medicine, St Louis, Mo (S.B.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wis (P.J.P., M.G.L.); and Department of Radiology, University of Texas at San Antonio, San Antonio, Tex (V.S.K.)
| | - Perry J Pickhardt
- From the Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, Pickens Academic Tower, 1400 Pressler St, Unit 1473, Houston, TX 77030-4009 (M.X.W., D.G.); Department of Radiology, Mayo Clinic Arizona, Scottsdale, Ariz (N.S.); Mallinckrodt Institute of Radiology, Section of Abdominal Imaging, Washington University School of Medicine, St Louis, Mo (S.B.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wis (P.J.P., M.G.L.); and Department of Radiology, University of Texas at San Antonio, San Antonio, Tex (V.S.K.)
| | - Meghan G Lubner
- From the Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, Pickens Academic Tower, 1400 Pressler St, Unit 1473, Houston, TX 77030-4009 (M.X.W., D.G.); Department of Radiology, Mayo Clinic Arizona, Scottsdale, Ariz (N.S.); Mallinckrodt Institute of Radiology, Section of Abdominal Imaging, Washington University School of Medicine, St Louis, Mo (S.B.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wis (P.J.P., M.G.L.); and Department of Radiology, University of Texas at San Antonio, San Antonio, Tex (V.S.K.)
| | - Venkata S Katabathina
- From the Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, Pickens Academic Tower, 1400 Pressler St, Unit 1473, Houston, TX 77030-4009 (M.X.W., D.G.); Department of Radiology, Mayo Clinic Arizona, Scottsdale, Ariz (N.S.); Mallinckrodt Institute of Radiology, Section of Abdominal Imaging, Washington University School of Medicine, St Louis, Mo (S.B.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wis (P.J.P., M.G.L.); and Department of Radiology, University of Texas at San Antonio, San Antonio, Tex (V.S.K.)
| | - Dhakshinamoorthy Ganeshan
- From the Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, Pickens Academic Tower, 1400 Pressler St, Unit 1473, Houston, TX 77030-4009 (M.X.W., D.G.); Department of Radiology, Mayo Clinic Arizona, Scottsdale, Ariz (N.S.); Mallinckrodt Institute of Radiology, Section of Abdominal Imaging, Washington University School of Medicine, St Louis, Mo (S.B.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wis (P.J.P., M.G.L.); and Department of Radiology, University of Texas at San Antonio, San Antonio, Tex (V.S.K.)
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12
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van der Pol CB, Yikilmaz A, Schieda N. Editorial for "MRI-Characteristics of Pediatric Renal Tumors: A SIOP-RTSG Radiology Panel Delphi Study": Standardized Assessment of Pediatric Renal Tumors with MRI: A Laudable Objective That Requires Further Investigation. J Magn Reson Imaging 2021; 55:553-554. [PMID: 34453767 DOI: 10.1002/jmri.27883] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Accepted: 07/22/2021] [Indexed: 11/11/2022] Open
Affiliation(s)
- Christian B van der Pol
- Department of Diagnostic Imaging, Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Ali Yikilmaz
- Department of Diagnostic Imaging, McMaster Children's Hospital, McMaster University, Hamilton, Ontario, Canada
| | - Nicola Schieda
- Department of Diagnostic Imaging, The Ottawa Hospital - Civic Campus, Ottawa, Ontario, Canada
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13
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Childhood risk factors for adulthood chronic kidney disease. Pediatr Nephrol 2021; 36:1387-1396. [PMID: 32500249 DOI: 10.1007/s00467-020-04611-6] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Revised: 04/03/2020] [Accepted: 05/11/2020] [Indexed: 12/25/2022]
Abstract
Chronic kidney disease (CKD) is a major public health challenge, affecting as much as 8 to 18% of the world population. Identifying childhood risk factors for future CKD may help clinicians make early diagnoses and initiation of preventive interventions for CKD and its attendant comorbidities as well as monitoring for complications. The purpose of this review is to describe childhood risk factors that may predict development of overt kidney disease later in life. Currently, there are multiple childhood risk factors associated with future onset and progression of CKD. These risk factors can be grouped into five categories: genetic factors (e.g., monogenic or risk alleles), perinatal factors (e.g., low birth weight and prematurity), childhood kidney diseases (e.g., congenital anomalies, glomerular diseases, and renal cystic ciliopathies), childhood onset of chronic conditions (e.g., cancer, diabetes, hypertension, dyslipidemia, and obesity), and different lifestyle factors (e.g., physical activity, diet, and factors related to socioeconomic status). The available published information suggests that the lifelong risk for CKD can be attributed to multiple factors that appear already during childhood. However, results are conflicting on the effects of childhood physical activity, diet, and dyslipidemia on future renal function. On the other hand, there is consistent evidence to support follow-up of high-risk groups.
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14
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Noreña-Rengifo BD, Ochoa-Gaviria J, Vélez-Escobar A, Muñoz JP, Riveros-Ángel M. Renal Medullary Carcinoma in an Adolescent With Unknown Sickle Cell Trait. Cureus 2021; 13:e14473. [PMID: 33996332 PMCID: PMC8115196 DOI: 10.7759/cureus.14473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
Renal medullary carcinoma (RMC) is an aggressive and rare malignancy that usually presents in adolescents and young adults with sickle cell disease. Herein, we describe a case of a white male with an unknown sickle cell trait, who presented with left iliac fossa pain, without any other finding that suggested renal neoplasia. Imaging findings were a renal mass of central location with caliectasis, renal hilar adenopathy, and paraaortic lymphadenopathy. Biopsy confirmed an RMC diagnosis. RMC diagnosis requires clinical suspicion in sickle cell patients who present with pain and hematuria. Imaging shows a central mass, with an infiltrative appearance, frequently associated with calyx’s dilation and lymphadenopathy. Prognosis is poor in spite of the treatment.
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Affiliation(s)
| | - Jorge Ochoa-Gaviria
- Radiology, Hospital Infantil San Vicente Fundación, Medellín, COL.,Radiology, Hospital Pablo Tobón Uribe, Medellín, COL
| | | | - Juan P Muñoz
- Radiology, Hospital Pablo Tobón Uribe, Medellín, COL
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15
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Davis JT, Wagner LM. Imaging of childhood urologic cancers: current approaches and new advances. Transl Androl Urol 2020; 9:2348-2357. [PMID: 33209708 PMCID: PMC7658153 DOI: 10.21037/tau-19-839] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Urologic tumors make up approximately 10% of all pediatric cancers, and include a variety of different histologies and imaging considerations. In this review, we discuss standard radiologic approaches for children with tumors arising in the genitourinary system, and identify important ways in which imaging affects the differential diagnosis, preoperative planning, and staging of these tumors. In addition, we provide an update on strategies to reduce the time of imaging, which may obviate the need for sedation in younger patients. Efforts to reduce a patient’s overall radiation exposure and subsequent risk of second malignancy are also detailed, including recent work on surveillance imaging following completion of therapy. Finally, we highlight new techniques such as radiomics that are now being investigated for patients with these malignancies.
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Affiliation(s)
- Joseph T Davis
- Department of Radiology, Duke University Medical Center, Durham, NC, USA
| | - Lars M Wagner
- Division of Pediatric Hematology/Oncology, Duke University Medical Center, Durham, NC, USA
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16
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van der Beek JN, Geller JI, de Krijger RR, Graf N, Pritchard-Jones K, Drost J, Verschuur AC, Murphy D, Ray S, Spreafico F, Dzhuma K, Littooij AS, Selle B, Tytgat GAM, van den Heuvel-Eibrink MM. Characteristics and Outcome of Children with Renal Cell Carcinoma: A Narrative Review. Cancers (Basel) 2020; 12:E1776. [PMID: 32635225 PMCID: PMC7407101 DOI: 10.3390/cancers12071776] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Revised: 06/30/2020] [Accepted: 07/01/2020] [Indexed: 12/20/2022] Open
Abstract
Pediatric renal cell carcinoma (RCC) is a rare type of kidney cancer, most commonly occurring in teenagers and young adolescents. Few relatively large series of pediatric RCC have been reported. Knowledge of clinical characteristics, outcome and treatment strategies are often based on the more frequently occurring adult types of RCC. However, published pediatric data suggest that clinical, molecular and histological characteristics of pediatric RCC differ from adult RCC. This paper summarizes reported series consisting of ≥10 RCC pediatric patients in order to create an up-to-date overview of the clinical and histopathological characteristics, treatment and outcome of pediatric RCC patients.
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Affiliation(s)
- Justine N. van der Beek
- Princess Máxima Center for Pediatric Oncology, 3584 CS Utrecht, The Netherlands; (R.R.d.K.); (J.D.); (A.S.L.); (G.A.M.T.); (M.M.v.d.H.-E.)
- Department of Radiology and Nuclear Medicine, University Medical Center Utrecht/Wilhelmina Children’s Hospital, Utrecht University, 3584 CX Utrecht, The Netherlands
| | - James I. Geller
- Division of Oncology, Cincinnati Children’s Hospital Medical Center, University of Cincinnati, Cincinnati, OH 45229, USA;
| | - Ronald R. de Krijger
- Princess Máxima Center for Pediatric Oncology, 3584 CS Utrecht, The Netherlands; (R.R.d.K.); (J.D.); (A.S.L.); (G.A.M.T.); (M.M.v.d.H.-E.)
- Department of Pathology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands
| | - Norbert Graf
- Department of Pediatric Oncology & Hematology, Saarland University Medical Center and Saarland University Faculty of Medicine, D-66421 Homburg, Germany;
| | - Kathy Pritchard-Jones
- UCL Great Ormond Street Institute of Child Health, University College London, London WC1N 1EH, UK; (K.P.-J.); (K.D.)
| | - Jarno Drost
- Princess Máxima Center for Pediatric Oncology, 3584 CS Utrecht, The Netherlands; (R.R.d.K.); (J.D.); (A.S.L.); (G.A.M.T.); (M.M.v.d.H.-E.)
- Oncode Institute, 3521 AL Utrecht, The Netherlands
| | - Arnauld C. Verschuur
- Department of Pediatric Oncology, Hôpital d’Enfants de la Timone, APHM, 13005 Marseille, France;
| | - Dermot Murphy
- Department of Paediatric Oncology, Royal Hospital for Children, Glasgow G51 4TF, Scotland; (D.M.); (S.R.)
| | - Satyajit Ray
- Department of Paediatric Oncology, Royal Hospital for Children, Glasgow G51 4TF, Scotland; (D.M.); (S.R.)
| | - Filippo Spreafico
- Pediatric Oncology Unit, Department of Medical Oncology and Hematology, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milano, Italy;
| | - Kristina Dzhuma
- UCL Great Ormond Street Institute of Child Health, University College London, London WC1N 1EH, UK; (K.P.-J.); (K.D.)
| | - Annemieke S. Littooij
- Princess Máxima Center for Pediatric Oncology, 3584 CS Utrecht, The Netherlands; (R.R.d.K.); (J.D.); (A.S.L.); (G.A.M.T.); (M.M.v.d.H.-E.)
- Department of Radiology and Nuclear Medicine, University Medical Center Utrecht/Wilhelmina Children’s Hospital, Utrecht University, 3584 CX Utrecht, The Netherlands
| | - Barbara Selle
- Department of Pediatric Hematology and Oncology, St. Annastift Children’s Hospital, 67065 Ludwigshafen, Germany;
| | - Godelieve A. M. Tytgat
- Princess Máxima Center for Pediatric Oncology, 3584 CS Utrecht, The Netherlands; (R.R.d.K.); (J.D.); (A.S.L.); (G.A.M.T.); (M.M.v.d.H.-E.)
| | - Marry M. van den Heuvel-Eibrink
- Princess Máxima Center for Pediatric Oncology, 3584 CS Utrecht, The Netherlands; (R.R.d.K.); (J.D.); (A.S.L.); (G.A.M.T.); (M.M.v.d.H.-E.)
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Kimani W, Ashiundu E, Saula PW, Kimondo M, Keitany K. Congenital mesoblastic nephroma: Case study. JOURNAL OF PEDIATRIC SURGERY CASE REPORTS 2020. [DOI: 10.1016/j.epsc.2019.101336] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
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Stanescu AL, Acharya PT, Lee EY, Phillips GS. Pediatric Renal Neoplasms:: MR Imaging-Based Practical Diagnostic Approach. Magn Reson Imaging Clin N Am 2019; 27:279-290. [PMID: 30910098 DOI: 10.1016/j.mric.2019.01.006] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Pediatric renal tumors may be malignant or benign. Wilms tumor, the most common malignant pediatric renal tumor, arises sporadically or with various syndromes. Renal cell carcinoma typically presents in older children. Renal clear cell sarcoma and rhabdoid tumor are typically less common, more aggressive, and present in younger children. Benign renal tumors include mesoblastic nephroma, multilocular cystic renal tumor, angiomyolipoma, and metanephric adenoma. Lymphoma and leukemia may secondarily involve the kidney. Although there is overlap in the imaging appearance of several pediatric renal tumors, magnetic resonance characteristics and clinical data narrow the differential diagnosis and suggest a specific diagnosis. This article reviews current MR techniques, as well as the common MR imaging characteristics of malignant and benign pediatric renal neoplasms.
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Affiliation(s)
- A Luana Stanescu
- Department of Radiology, Seattle Children's, University of Washington, 4800 Sand Point Way Northeast, Seattle, WA 98105, USA.
| | - Patricia T Acharya
- Department of Radiology, Loma Linda University Children's Hospital, 11234 Anderson Street, Room 2835, Loma Linda, CA 92354, USA
| | - Edward Y Lee
- Division of Thoracic Imaging, Department of Radiology, Boston Children's Hospital, Harvard Medical School, 330 Longwood Avenue, Boston, MA 02115, USA
| | - Grace S Phillips
- Department of Radiology, Seattle Children's, University of Washington, 4800 Sand Point Way Northeast, Seattle, WA 98105, USA
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Abstract
Mesenchymal tumors in childhood comprise benign and malign entities and differ regarding typical sites of manifestation, age peak and clinical symptoms. In some cases biopsy is mandatory. If nephroblastoma is a possible diagnosis, biopsy must be avoided by all means in order to avoid biopsy tract metastasis. Imaging is used to narrow the differential diagnosis, describe the exact extent of the lesion and deliver complete staging. In pediatric patients sonography and MRI are the most important imaging modalities. Low-dose CT of the thorax serves for assessment of possible pulmonary metastases.
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Affiliation(s)
- G A Krombach
- Klinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Giessen, Justus-Liebig Universität Giessen, Klinikstraße 33, 35392, Giessen, Deutschland.
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de Oliveira C, Bechara G, Zacchi S, de Miranda M, Pinho G, de Miranda M. MiT family translocation renal cell carcinoma. JOURNAL OF PEDIATRIC SURGERY CASE REPORTS 2019. [DOI: 10.1016/j.epsc.2019.101190] [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] Open
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Grover SB, Antil N, Rajani H, Grover H, Kumar R, Mandal AK, Bagga D, Katyan A. Approach to pediatric renal tumors: an imaging review. Abdom Radiol (NY) 2019; 44:619-641. [PMID: 30311048 DOI: 10.1007/s00261-018-1773-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Renal tumors comprise 7% of all childhood cancers. A wide variety of renal tumors can affect the pediatric kidneys, which can be broadly classified as primary benign tumors, primary malignant tumors, and metastatic lesions. This article aims to enumerate usual benign and malignant renal tumors that can occur in childhood and emphasizes the characteristic imaging appearances which aid in their differential diagnosis. Additionally, the leading role of the Radiologist in primary diagnosis of renal infiltration by hematological malignancies and contiguous invasion by neuroblastoma is also introduced and unraveled. Imaging protocol comprises initial Ultrasound evaluation with subsequent computed tomography (CT) and/or Magnetic resonance imaging (MRI), all of which are invaluable in confirming the diagnosis, documenting the organ of origin, describing extent of local and distant spread. The complimentary role of nuclear medicine studies in delineating differential renal function, post-operative complications, and metastasis is also highlighted.
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Imaging of Unusual Renal Tumors. Curr Urol Rep 2019; 20:5. [PMID: 30663008 DOI: 10.1007/s11934-019-0867-7] [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: 10/27/2022]
Abstract
PURPOSE OF REVIEW Renal masses are a wide entity and a common finding in clinical practice. Detection of these masses has increased in the last years, yet mortality rates have slightly decreased. RECENT FINDINGS According to the World Health Organization classification, there are 8 types, 51 subtypes, and a lot more subsequent subclassifications of renal tumors. Histopathological analysis should always be assessed for final diagnosis of theses tumors. However, imaging can be an important diagnostic guidance. The most common diagnoses of renal tumor are clear cell carcinoma, papillary renal cell carcinoma, angiomyolipoma, and transitional cell carcinoma. Nonetheless, a considerable variety of particular tumors can arise from the kidney, challenging the expertise of radiologists and urologists on this subject. The awareness of these unusual entities is vital for professionals working at a complex medical facility with greater volume of patients. We hereby present uncommon renal tumors and its pathological and radiological features.
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Abstract
PURPOSE OF THE REVIEW We present an updated report of renal medullary carcinoma (RMC), a rare and aggressive condition. RECENT FINDINGS There is a majority of male patients, of African descent, in the second or third decade of life. In differential diagnosis, other tumors, such as malignant rhabdoid tumor (MRT), vinculin-anaplastic lymphoma kinase (VCL-ALK) translocation renal cell carcinoma, and collecting duct carcinoma, may present difficulties. Abnormalities of tumor suppressor gene SMARCB1 have been found in RMC. Reported symptoms were hematuria, pain, weight loss, respiratory distress, palpable mass, cough, and fever. Most patients present with metastases at diagnosis. There is no definite recommended treatment, and protocols are extrapolated from other malignancies, with nephrectomy and systemic therapies being most frequently used. Response to treatment and prognosis remain very poor. RMC is a rare and aggressive tumor. Definitive diagnosis requires histological assessment and the presence of sickle-cell hemoglobinopathies.
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Kumar P, Singh A, Deshmukh A, Phulware RH, Rastogi S, Barwad A, Chandrashekhara SH, Singh V. Qualitative and quantitative CECT features for differentiating renal primitive neuroectodermal tumor from the renal cell carcinoma and its subtypes. Br J Radiol 2018; 92:20180738. [PMID: 30362816 DOI: 10.1259/bjr.20180738] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
OBJECTIVE: To identify important qualitative and quantitative clinical and imaging features that could potentially differentiate renal primitiveneuroectodermal tumor (PNET) from various subtypes of renalcell carcinoma (RCC). METHODS: We retrospectively reviewed 164 patients, 143 with pathologically proven RCC and 21 with pathologically proven renal PNET. Univariate analysis of each parameter was performed. In order to differentiate renal PNET from RCC subtypes and overall RCC as a group, we generated ROC curves and determined cutoff values for mean attenuation of the lesion, mass to aorta attenuation ratio and mass to renal parenchyma attenuation ratio in the nephrographic phase. RESULTS: Univariate analysis revealed 11 significant parameters for differentiating renal PNET from clear cell RCC (age, p = <0.001; size, p =< 0.001; endophytic growth pattern, p < 0.001;margin of lesion, p =< 0.001; septa within the lesion, p =< 0.001; renal vein invasion, p =< 0.001; inferior vena cava involvement, p = 0.014; enhancement of lesion less than the renal parenchyma, p = 0.008; attenuation of the lesion, p = 0.002; mass to aorta attenuation ratio, p =< 0.001; and mass to renal parenchyma attenuation ratio, p =< 0.001). Univariate analysis also revealed seven significant parameters for differentiating renal PNET from papillary RCC. For differentiating renal PNET from overall RCCs as a group, when 77.3 Hounsfield unit was used as cutoff value in nephrographic phase, the sensitivity and specificity were 71.83 and 76.92 % respectively. For differentiating renal PNET from overall RCCs as a group, when 0.57 was used as cutoff for mass to aorta enhancement ratio in nephrographic phase, the sensitivity and specificity were 80.28 and 84.62 % respectively. CONCLUSION: Specific qualitative and quantitative features can potentially differentiate renal PNET from various subtypes of RCC. ADVANCES IN KNOWLEDGE: The study underscores the utility of combined demographic and CT findings to potentially differentiate renal PNET from the much commoner renal neoplasm, i.e. RCC. It has management implications as if RCC is suspected, surgeons proceed with resection without need for confirmatory biopsy. On the contrary, a suspected renal PNET should proceed with biopsy followed by chemoradiotherapy, thus obviating the unnecessary morbidity and mortality.
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Affiliation(s)
- Pawan Kumar
- 1 Department of Radiodiagnosis, All India Institute of Medical Sciences , New Delhi , India
| | - Anuradha Singh
- 1 Department of Radiodiagnosis, All India Institute of Medical Sciences , New Delhi , India
| | - Ashwin Deshmukh
- 1 Department of Radiodiagnosis, All India Institute of Medical Sciences , New Delhi , India
| | - Ravi Hari Phulware
- 2 Department of Pathology, All India Institute of Medical Sciences , New Delhi , India
| | - Sameer Rastogi
- 3 Department of Medical Oncology, All India Institute of Medical Sciences , New Delhi , India
| | - Adarsh Barwad
- 2 Department of Pathology, All India Institute of Medical Sciences , New Delhi , India
| | - S H Chandrashekhara
- 1 Department of Radiodiagnosis, All India Institute of Medical Sciences , New Delhi , India
| | - Vishwajeet Singh
- 4 Department of Biostatistics, All India Institute of Medical Sciences , New Delhi , India
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