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Parameswaran M, Friedmann AM, Cote GM, Salari K, Harisinghani MG, Cochran RL. Adult onset wilms tumor. Radiol Case Rep 2025; 20:1755-1759. [PMID: 39881776 PMCID: PMC11774639 DOI: 10.1016/j.radcr.2024.12.062] [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] [Received: 12/09/2024] [Accepted: 12/26/2024] [Indexed: 01/31/2025] Open
Abstract
Wilms tumor (WT) is the most common primary renal malignancy in the pediatric population and has very good overall survival with contemporary treatment protocols. In contrast, WT in adults is extremely rare and is associated with a poorer prognosis. The clinical presentation and imaging features of WT in adults are nonspecific and overlap with other more common forms of renal cancer, often leading to a delay in diagnosis. Here we describe the imaging findings of a 27-year-old female with WT initially presenting with hematuria, right lower quadrant pain and fever.
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Affiliation(s)
- Madhangi Parameswaran
- Department of Radiology, Massachusetts General Hospital, Boston MA
- Harvard Medical School, Cambridge MA
| | - Alison M. Friedmann
- Department of Pediatrics, Massachusetts General Hospital for Children, Boston MA
- Harvard Medical School, Cambridge MA
| | - Gregory M. Cote
- Department of Medicine, Mass General Brigham Cancer Center, Boston MA
- Harvard Medical School, Cambridge MA
| | - Keyan Salari
- Department of Urology, Massachusetts General Hospital, Boston MA
- Harvard Medical School, Cambridge MA
| | - Mukesh G. Harisinghani
- Department of Radiology, Massachusetts General Hospital, Boston MA
- Harvard Medical School, Cambridge MA
| | - Rory L. Cochran
- Department of Radiology, Massachusetts General Hospital, Boston MA
- Harvard Medical School, Cambridge MA
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Sathiadoss P, Bhayana R, Shaikh ZA, Krishna S. Insights into Radiology Publications. Indian J Radiol Imaging 2025; 35:S18-S29. [PMID: 39802728 PMCID: PMC11717458 DOI: 10.1055/s-0044-1793914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2025] Open
Abstract
The evolution of modern medicine has been significantly driven by medical and health care research, underscoring the importance of disseminating findings to advance health care. Medical literature, encompassing various publication types such as case reports, review articles, and original research, plays a crucial role in this process by facilitating the communication and discussion of new discoveries. This review article provides a comprehensive guide to understanding and navigating radiologic publications. It examines the various types of radiologic research articles, including case reports and series, pictorial reviews, original research, systematic reviews, and meta-analyses, each of which serve distinct purposes in contributing to the field of radiology. The study adopts the "six honest men" approach-addressing why, who, what, when, where, and how-to elucidate the essential elements of successful radiology research and publication. Key topics include the motivations for publishing, the types of articles suited for different research questions, and strategic considerations for selecting appropriate journals. Additionally, the review highlights the importance of understanding publication timing, journal selection criteria, and the overall publication process, including manuscript preparation and peer review. By offering these insights, the review aims to equip early-career researchers with the knowledge and skills necessary to effectively contribute to radiology literature and advance their academic and professional careers.
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Affiliation(s)
- Paul Sathiadoss
- Department of Medical Imaging, London Health Sciences Centre, University of Western Ontario, London, Ontario, Canada
| | - Rajesh Bhayana
- Department of Medical Imaging, University of Toronto, University Medical Imaging Toronto, University Health Network, Sinai Health System, Women's College Hospital, Toronto, Canada
| | - Zara A. Shaikh
- Faculty of Science, University of British Columbia, Vancouver, Canada
| | - Satheesh Krishna
- Department of Medical Imaging, University of Toronto, University Medical Imaging Toronto, University Health Network, Sinai Health System, Women's College Hospital, Toronto, Canada
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Bell A, Rangaswami A, Murphy P, Meng M, Raphael R, Wu N, Goldsby R. Subsequent Renal Cancer Among Childhood Cancer Survivors: Analysis of Surveillance, Epidemiology, and End Results. J Pediatr Hematol Oncol 2024; 46:e387-e392. [PMID: 38934569 PMCID: PMC11268548 DOI: 10.1097/mph.0000000000002910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 05/15/2024] [Indexed: 06/28/2024]
Abstract
Renal cancer, although still rare among individuals under 45 years of age, is on the rise in the general population. The risk and timing of subsequent renal cancer in survivors of childhood cancer is not well established. Using the SEER registry, we reported the incidence of subsequent malignant renal neoplasms after treatment for primary malignancy diagnosed under 20 years of age. We evaluated clinical characteristics, standardized incidence ratio (SIR), and Kaplan-Meier survival estimates. Fifty-three survivors developed subsequent renal cancer (54 total cases). Of these, 54.7% were female, 88.7% were white, and 13.2% were Hispanic. Mean ages at primary malignancy and subsequent renal cancer were 10.1 and 31.1 years, respectively. Forty-seven cases were second cancers, 6 were third, and 1 was fourth. For survivors of childhood cancer, the overall SIR for renal cancer was 4.52 (95% CI: 3.39-5.89). The 5-year overall survival rate after development of subsequent renal cancer was 73% (95% CI: 58%-83%). Renal cancer occurs 4.5 times more frequently in childhood cancer survivors than in the general population, necessitating long-term care considerations.
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Affiliation(s)
| | | | | | - Max Meng
- Urology, UCSF Benioff Children’s Hospitals, San Francisco, CA
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Zhu YF, Liu ML, Zheng WT, Fu F, Xue ES, Fan XQ, Zhang HP, Lian GT, Ye Q. Predictive Model of CK7 Expression in Patients With Clear Cell Renal Cell Carcinoma by Combined Multimodal Ultrasound Diagnostic Techniques: A Retrospective Study. ULTRASOUND IN MEDICINE & BIOLOGY 2024; 50:520-527. [PMID: 38281886 DOI: 10.1016/j.ultrasmedbio.2023.12.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 11/18/2023] [Accepted: 12/07/2023] [Indexed: 01/30/2024]
Abstract
OBJECTIVE The aim of the work described here was to develop and validate a predictive model for cytokeratin 7 (CK7) expression in clear cell renal cell carcinoma (ccRCC) patients by combining multimodal ultrasound diagnostic techniques. METHODS This retrospective study enrolled 157 surgically confirmed ccRCC patients. All patients underwent pre-operative multimodal ultrasound diagnostic examinations, including B-mode ultrasound (US), color Doppler flow imaging (CDFI) and contrast-enhanced ultrasound (CEUS). The patients were randomly divided into a training group (103 cases) and a testing group (54 cases). Univariate and multivariate logistic regression analyses were performed in the training group to identify independent indicators associated with CK7 positivity. These indicators were included in the predictive model. Receiver operating characteristic (ROC) curves and calibration curves were used to evaluate the model's discriminative ability and accuracy. Decision curve analysis (DCA) and nomogram visualization were used to assess the clinical utility of the predictive model. RESULTS Univariate logistic regression analysis revealed that US and CDFI observations were not correlated with CK7 expression and could not predict it. Multivariate logistic regression analysis identified age (odds ratio [OR] = 0.953, 95% confidence interval [CI]: 0.909-0.999), wash-in pattern (OR = 0.180, 95% CI: 0.063-0.513) and enhancement homogeneity (OR = 11.610, 95% CI: 1.394-96.675) as independent factors related to CK7 positivity in ccRCC. Incorporating these variables into the predictive model resulted in areas under the receiver operating characteristic curve of 0.812 (95% CI: 0.711-0.913) for the training group and 0.792 (95% CI: 0.667-0.924) for the testing group. The calibration curve and DCA revealed that the model had good accuracy and clinical utility of the model. CONCLUSION The combination of multimodal ultrasound diagnostic techniques in constructing a predictive model for CK7 expression in ccRCC patients has significant predictive value.
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Affiliation(s)
- Yi-Fan Zhu
- Department of Ultrasound/Fujian Provincial Institute of Ultrasonic Medicine, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China
| | - Mao-Lin Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, Fujian Province, China
| | - Wen-Ting Zheng
- Department of Ultrasound/Fujian Provincial Institute of Ultrasonic Medicine, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China
| | - Fen Fu
- Department of Ultrasound/Fujian Provincial Institute of Ultrasonic Medicine, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China
| | - En-Sheng Xue
- Department of Ultrasound/Fujian Provincial Institute of Ultrasonic Medicine, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China
| | - Xiao-Qing Fan
- Department of Ultrasound/Fujian Provincial Institute of Ultrasonic Medicine, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China
| | - Hui-Ping Zhang
- Department of Ultrasound/Fujian Provincial Institute of Ultrasonic Medicine, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China
| | - Guang-Tian Lian
- Department of Ultrasound/Fujian Provincial Institute of Ultrasonic Medicine, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China
| | - Qin Ye
- Department of Ultrasound/Fujian Provincial Institute of Ultrasonic Medicine, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China.
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Yang C, Yu T, Lin Q. A signature based on chromatin regulation and tumor microenvironment infiltration in clear cell renal cell carcinoma. Epigenomics 2022; 14:995-1013. [PMID: 36154213 DOI: 10.2217/epi-2022-0202] [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: 11/21/2022] Open
Abstract
Aims: This research aimed to construct a signature based on chromatin regulation in localized clear cell renal cell carcinoma (ccRCC). Materials & methods: Non-negative matrix factorization clustering was performed on 438 localized ccRCC cases. The immune infiltration was generated by the single-sample gene set enrichment analysis algorithm. Survival analyses were performed using the Kaplan-Meier method, and the significance of the differences was determined using the log-rank test. The risk score was constructed based on the expression of chromatin regulators to quantify chromatin modification. Results: A score system based on chromatin modification was established. The high-risk subtype was characterized by increased tumor mutation burden, whereas a low-risk score was characterized by an increase in chromatin regulator expression and better overall survival. Conclusion: This research has constructed a signature based on chromatin regulation in localized ccRCC.
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Affiliation(s)
- Chen Yang
- Department of Radiation Oncology, Xiamen Cancer Center, Xiamen Key Laboratory of Radiation Oncology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, 361003, China
| | - Tian Yu
- Graduate School, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100005, China.,Department of General Surgery, Peking Union Medical College Hospital, No. 1 Shuaifuyuan, Beijing, 100730, China
| | - Qin Lin
- Department of Radiation Oncology, Xiamen Cancer Center, Xiamen Key Laboratory of Radiation Oncology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, 361003, China
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