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Gomez DM, Sivaganesh S. Large epidermoid cyst of the spleen causing massive splenomegaly: A case report. SAGE Open Med Case Rep 2024; 12:2050313X241239530. [PMID: 38486974 PMCID: PMC10938603 DOI: 10.1177/2050313x241239530] [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: 10/31/2023] [Accepted: 02/28/2024] [Indexed: 03/17/2024] Open
Abstract
Splenic cysts are uncommon and are classified as primary cysts or secondary cysts based on the presence or absence of an intact epithelial lining, respectively. Epidermoid cysts have an epithelial lining of stratified squamous epithelium and have been reported in normal and intra-pancreatic accessory spleens. An 18-year-old girl presented with a symptomatic, uncomplicated splenic cyst causing massive splenomegaly and symptoms due to mass effect. Peripheral cytopaenias and lymphoproliferative neoplasm were excluded. Preoperative computed tomography was suggestive of a large splenic cyst causing massive splenomegaly and marked loco-regional pressure effects. Open splenectomy was performed and histology confirmed an epidermoid cyst with no features of malignancy. Splenic epidermoid cysts are a rare cause of massive splenomegaly. Surgical intervention is recommended due to symptoms and the risk of complications.
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Affiliation(s)
- Deshan Mario Gomez
- The University Surgical Unit, National Hospital of Sri Lanka, Colombo, Sri Lanka
| | - Sivasuriya Sivaganesh
- Division of HPB Surgery, Department of Surgery, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka
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2
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Frazer J, Notin P, Dias M, Gomez A, Min JK, Brock K, Gal Y, Marks DS. Disease variant prediction with deep generative models of evolutionary data. Nature 2021; 599:91-95. [PMID: 34707284 DOI: 10.1038/s41586-021-04043-8] [Citation(s) in RCA: 233] [Impact Index Per Article: 77.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Accepted: 09/20/2021] [Indexed: 12/25/2022]
Abstract
Quantifying the pathogenicity of protein variants in human disease-related genes would have a marked effect on clinical decisions, yet the overwhelming majority (over 98%) of these variants still have unknown consequences1-3. In principle, computational methods could support the large-scale interpretation of genetic variants. However, state-of-the-art methods4-10 have relied on training machine learning models on known disease labels. As these labels are sparse, biased and of variable quality, the resulting models have been considered insufficiently reliable11. Here we propose an approach that leverages deep generative models to predict variant pathogenicity without relying on labels. By modelling the distribution of sequence variation across organisms, we implicitly capture constraints on the protein sequences that maintain fitness. Our model EVE (evolutionary model of variant effect) not only outperforms computational approaches that rely on labelled data but also performs on par with, if not better than, predictions from high-throughput experiments, which are increasingly used as evidence for variant classification12-16. We predict the pathogenicity of more than 36 million variants across 3,219 disease genes and provide evidence for the classification of more than 256,000 variants of unknown significance. Our work suggests that models of evolutionary information can provide valuable independent evidence for variant interpretation that will be widely useful in research and clinical settings.
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Affiliation(s)
- Jonathan Frazer
- Marks Group, Department of Systems Biology, Harvard Medical School, Boston, MA, USA
| | - Pascal Notin
- OATML Group, Department of Computer Science, University of Oxford, Oxford, UK
| | - Mafalda Dias
- Marks Group, Department of Systems Biology, Harvard Medical School, Boston, MA, USA
| | - Aidan Gomez
- OATML Group, Department of Computer Science, University of Oxford, Oxford, UK
| | - Joseph K Min
- Marks Group, Department of Systems Biology, Harvard Medical School, Boston, MA, USA
| | - Kelly Brock
- Marks Group, Department of Systems Biology, Harvard Medical School, Boston, MA, USA
| | - Yarin Gal
- OATML Group, Department of Computer Science, University of Oxford, Oxford, UK.
| | - Debora S Marks
- Marks Group, Department of Systems Biology, Harvard Medical School, Boston, MA, USA. .,Broad Institute of Harvard and MIT, Cambridge, MA, USA.
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3
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Manduchi E, Romano JD, Moore JH. The promise of automated machine learning for the genetic analysis of complex traits. Hum Genet 2021; 141:1529-1544. [PMID: 34713318 PMCID: PMC9360157 DOI: 10.1007/s00439-021-02393-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Accepted: 10/22/2021] [Indexed: 12/24/2022]
Abstract
The genetic analysis of complex traits has been dominated by parametric statistical methods due to their theoretical properties, ease of use, computational efficiency, and intuitive interpretation. However, there are likely to be patterns arising from complex genetic architectures which are more easily detected and modeled using machine learning methods. Unfortunately, selecting the right machine learning algorithm and tuning its hyperparameters can be daunting for experts and non-experts alike. The goal of automated machine learning (AutoML) is to let a computer algorithm identify the right algorithms and hyperparameters thus taking the guesswork out of the optimization process. We review the promises and challenges of AutoML for the genetic analysis of complex traits and give an overview of several approaches and some example applications to omics data. It is our hope that this review will motivate studies to develop and evaluate novel AutoML methods and software in the genetics and genomics space. The promise of AutoML is to enable anyone, regardless of training or expertise, to apply machine learning as part of their genetic analysis strategy.
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Affiliation(s)
- Elisabetta Manduchi
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Joseph D Romano
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Jason H Moore
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, 19104, USA. .,Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA, 19104, USA.
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4
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Zhu N, Swietlik EM, Welch CL, Pauciulo MW, Hagen JJ, Zhou X, Guo Y, Karten J, Pandya D, Tilly T, Lutz KA, Martin JM, Treacy CM, Rosenzweig EB, Krishnan U, Coleman AW, Gonzaga-Jauregui C, Lawrie A, Trembath RC, Wilkins MR, Morrell NW, Shen Y, Gräf S, Nichols WC, Chung WK. Rare variant analysis of 4241 pulmonary arterial hypertension cases from an international consortium implicates FBLN2, PDGFD, and rare de novo variants in PAH. Genome Med 2021; 13:80. [PMID: 33971972 PMCID: PMC8112021 DOI: 10.1186/s13073-021-00891-1] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Accepted: 04/19/2021] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Pulmonary arterial hypertension (PAH) is a lethal vasculopathy characterized by pathogenic remodeling of pulmonary arterioles leading to increased pulmonary pressures, right ventricular hypertrophy, and heart failure. PAH can be associated with other diseases (APAH: connective tissue diseases, congenital heart disease, and others) but often the etiology is idiopathic (IPAH). Mutations in bone morphogenetic protein receptor 2 (BMPR2) are the cause of most heritable cases but the vast majority of other cases are genetically undefined. METHODS To identify new risk genes, we utilized an international consortium of 4241 PAH cases with exome or genome sequencing data from the National Biological Sample and Data Repository for PAH, Columbia University Irving Medical Center, and the UK NIHR BioResource - Rare Diseases Study. The strength of this combined cohort is a doubling of the number of IPAH cases compared to either national cohort alone. We identified protein-coding variants and performed rare variant association analyses in unrelated participants of European ancestry, including 1647 IPAH cases and 18,819 controls. We also analyzed de novo variants in 124 pediatric trios enriched for IPAH and APAH-CHD. RESULTS Seven genes with rare deleterious variants were associated with IPAH with false discovery rate smaller than 0.1: three known genes (BMPR2, GDF2, and TBX4), two recently identified candidate genes (SOX17, KDR), and two new candidate genes (fibulin 2, FBLN2; platelet-derived growth factor D, PDGFD). The new genes were identified based solely on rare deleterious missense variants, a variant type that could not be adequately assessed in either cohort alone. The candidate genes exhibit expression patterns in lung and heart similar to that of known PAH risk genes, and most variants occur in conserved protein domains. For pediatric PAH, predicted deleterious de novo variants exhibited a significant burden compared to the background mutation rate (2.45×, p = 2.5e-5). At least eight novel pediatric candidate genes carrying de novo variants have plausible roles in lung/heart development. CONCLUSIONS Rare variant analysis of a large international consortium identified two new candidate genes-FBLN2 and PDGFD. The new genes have known functions in vasculogenesis and remodeling. Trio analysis predicted that ~ 15% of pediatric IPAH may be explained by de novo variants.
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Affiliation(s)
- Na Zhu
- Department of Pediatrics, Columbia University Irving Medical Center, 1150 St. Nicholas Avenue, Room 620, New York, NY, 10032, USA
- Department of Systems Biology, Columbia University, New York, NY, USA
| | - Emilia M Swietlik
- Department of Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
| | - Carrie L Welch
- Department of Pediatrics, Columbia University Irving Medical Center, 1150 St. Nicholas Avenue, Room 620, New York, NY, 10032, USA
| | - Michael W Pauciulo
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Jacob J Hagen
- Department of Pediatrics, Columbia University Irving Medical Center, 1150 St. Nicholas Avenue, Room 620, New York, NY, 10032, USA
- Department of Systems Biology, Columbia University, New York, NY, USA
| | - Xueya Zhou
- Department of Pediatrics, Columbia University Irving Medical Center, 1150 St. Nicholas Avenue, Room 620, New York, NY, 10032, USA
- Department of Systems Biology, Columbia University, New York, NY, USA
| | - Yicheng Guo
- Department of Systems Biology, Columbia University, New York, NY, USA
| | | | - Divya Pandya
- Department of Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
| | - Tobias Tilly
- Department of Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
| | - Katie A Lutz
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Jennifer M Martin
- Department of Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
- NIHR BioResource for Translational Research, Cambridge Biomedical Campus, Cambridge, UK
| | - Carmen M Treacy
- Department of Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
| | - Erika B Rosenzweig
- Department of Pediatrics, Columbia University Irving Medical Center, 1150 St. Nicholas Avenue, Room 620, New York, NY, 10032, USA
| | - Usha Krishnan
- Department of Pediatrics, Columbia University Irving Medical Center, 1150 St. Nicholas Avenue, Room 620, New York, NY, 10032, USA
| | - Anna W Coleman
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | | | - Allan Lawrie
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK
| | - Richard C Trembath
- Department of Medical and Molecular Genetics, King's College London, London, UK
| | - Martin R Wilkins
- National Heart & Lung Institute, Imperial College London, London, UK
| | | | | | | | | | - Nicholas W Morrell
- Department of Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
- NIHR BioResource for Translational Research, Cambridge Biomedical Campus, Cambridge, UK
- Addenbrooke's Hospital NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, UK
- Royal Papworth Hospital NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, UK
| | - Yufeng Shen
- Department of Systems Biology, Columbia University, New York, NY, USA
- Department of Biomedical Informatics, Columbia University, New York, NY, USA
| | - Stefan Gräf
- Department of Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
- NIHR BioResource for Translational Research, Cambridge Biomedical Campus, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
| | - William C Nichols
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Wendy K Chung
- Department of Pediatrics, Columbia University Irving Medical Center, 1150 St. Nicholas Avenue, Room 620, New York, NY, 10032, USA.
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA.
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA.
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5
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Wang J, Ahimaz PR, Hashemifar S, Khlevner J, Picoraro JA, Middlesworth W, Elfiky MM, Que J, Shen Y, Chung WK. Novel candidate genes in esophageal atresia/tracheoesophageal fistula identified by exome sequencing. Eur J Hum Genet 2021; 29:122-130. [PMID: 32641753 PMCID: PMC7852873 DOI: 10.1038/s41431-020-0680-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2019] [Revised: 06/07/2020] [Accepted: 06/23/2020] [Indexed: 12/24/2022] Open
Abstract
The various malformations of the aerodigestive tract collectively known as esophageal atresia/tracheoesophageal fistula (EA/TEF) constitute a rare group of birth defects of largely unknown etiology. Previous studies have identified a small number of rare genetic variants causing syndromes associated with EA/TEF. We performed a pilot exome sequencing study of 45 unrelated simplex trios (probands and parents) with EA/TEF. Thirteen had isolated and 32 had nonisolated EA/TEF; none had a family history of EA/TEF. We identified de novo variants in protein-coding regions, including 19 missense variants predicted to be deleterious (D-mis) and 3 likely gene-disrupting (LGD) variants. Consistent with previous studies of structural birth defects, there is a trend of increased burden of de novo D-mis in cases (1.57-fold increase over the background mutation rate), and the burden is greater in constrained genes (2.55-fold, p = 0.003). There is a frameshift de novo variant in EFTUD2, a known EA/TEF risk gene involved in mRNA splicing. Strikingly, 15 out of 19 de novo D-mis variants are located in genes that are putative target genes of EFTUD2 or SOX2 (another known EA/TEF gene), much greater than expected by chance (3.34-fold, p value = 7.20e-5). We estimated that 33% of patients can be attributed to de novo deleterious variants in known and novel genes. We identified APC2, AMER3, PCDH1, GTF3C1, POLR2B, RAB3GAP2, and ITSN1 as plausible candidate genes in the etiology of EA/TEF. We conclude that further genomic analysis to identify de novo variants will likely identify previously undescribed genetic causes of EA/TEF.
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Affiliation(s)
- Jiayao Wang
- grid.239585.00000 0001 2285 2675Department of Pediatrics, Columbia University Medical Center, New York, NY USA ,grid.239585.00000 0001 2285 2675Departments of Systems Biology and Biomedical Informatics, Columbia University Medical Center, New York, NY USA
| | - Priyanka R. Ahimaz
- grid.239585.00000 0001 2285 2675Department of Pediatrics, Columbia University Medical Center, New York, NY USA
| | - Somaye Hashemifar
- grid.239585.00000 0001 2285 2675Department of Pediatrics, Columbia University Medical Center, New York, NY USA ,grid.239585.00000 0001 2285 2675Departments of Systems Biology and Biomedical Informatics, Columbia University Medical Center, New York, NY USA
| | - Julie Khlevner
- grid.239585.00000 0001 2285 2675Division of Pediatric Gastroenterology, Hepatology and Nutrition, Department of Pediatrics, Columbia University Medical Center, New York, NY USA
| | - Joseph A. Picoraro
- grid.239585.00000 0001 2285 2675Division of Pediatric Gastroenterology, Hepatology and Nutrition, Department of Pediatrics, Columbia University Medical Center, New York, NY USA
| | - William Middlesworth
- grid.239585.00000 0001 2285 2675Division of Pediatric Surgery, Department of Surgery, Columbia University Medical Center, New York, NY USA
| | - Mahmoud M. Elfiky
- grid.7776.10000 0004 0639 9286Pediatric Surgery, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Jianwen Que
- grid.239585.00000 0001 2285 2675Department of Medicine, Columbia University Medical Center, New York, NY USA
| | - Yufeng Shen
- grid.239585.00000 0001 2285 2675Departments of Systems Biology and Biomedical Informatics, Columbia University Medical Center, New York, NY USA
| | - Wendy K. Chung
- grid.239585.00000 0001 2285 2675Department of Pediatrics, Columbia University Medical Center, New York, NY USA ,grid.239585.00000 0001 2285 2675Department of Medicine, Columbia University Medical Center, New York, NY USA
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6
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Role of POLE and POLD1 in familial cancer. Genet Med 2020; 22:2089-2100. [PMID: 32792570 PMCID: PMC7708298 DOI: 10.1038/s41436-020-0922-2] [Citation(s) in RCA: 68] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Revised: 07/20/2020] [Accepted: 07/21/2020] [Indexed: 02/06/2023] Open
Abstract
Purpose Germline pathogenic variants in the exonuclease domain (ED) of polymerases POLE and POLD1 predispose to adenomatous polyps, colorectal cancer (CRC), endometrial tumors, and other malignancies, and exhibit increased mutation rate and highly specific associated mutational signatures. The tumor spectrum and prevalence of POLE and POLD1 variants in hereditary cancer are evaluated in this study. Methods POLE and POLD1 were sequenced in 2813 unrelated probands referred for genetic counseling (2309 hereditary cancer patients subjected to a multigene panel, and 504 patients selected based on phenotypic characteristics). Cosegregation and case–control studies, yeast-based functional assays, and tumor mutational analyses were performed for variant interpretation. Results Twelve ED missense variants, 6 loss-of-function, and 23 outside-ED predicted-deleterious missense variants, all with population allele frequencies <1%, were identified. One ED variant (POLE p.Met294Arg) was classified as likely pathogenic, four as likely benign, and seven as variants of unknown significance. The most commonly associated tumor types were colorectal, endometrial and ovarian cancers. Loss-of-function and outside-ED variants are likely not pathogenic for this syndrome. Conclusions Polymerase proofreading–associated syndrome constitutes 0.1–0.4% of familial cancer cases, reaching 0.3–0.7% when only CRC and polyposis are considered. ED variant interpretation is challenging and should include multiple pieces of evidence.
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7
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Purging of highly deleterious mutations through severe bottlenecks in Alpine ibex. Nat Commun 2020; 11:1001. [PMID: 32081890 PMCID: PMC7035315 DOI: 10.1038/s41467-020-14803-1] [Citation(s) in RCA: 99] [Impact Index Per Article: 24.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Accepted: 02/05/2020] [Indexed: 12/14/2022] Open
Abstract
Human activity has caused dramatic population declines in many wild species. The resulting bottlenecks have a profound impact on the genetic makeup of a species with unknown consequences for health. A key genetic factor for species survival is the evolution of deleterious mutation load, but how bottleneck strength and mutation load interact lacks empirical evidence. We analyze 60 complete genomes of six ibex species and the domestic goat. We show that historic bottlenecks rather than the current conservation status predict levels of genome-wide variation. By analyzing the exceptionally well-characterized population bottlenecks of the once nearly extinct Alpine ibex, we find genomic evidence of concurrent purging of highly deleterious mutations but accumulation of mildly deleterious mutations. This suggests that recolonization bottlenecks induced both relaxed selection and purging, thus reshaping the landscape of deleterious mutation load. Our findings highlight that even populations of ~1000 individuals can accumulate mildly deleterious mutations. Conservation efforts should focus on preventing population declines below such levels to ensure long-term survival of species. Although there is extensive theory predicting the effects of population bottlenecks on mutation load, there is little empirical evidence from recent bottlenecks. Here, Grossen et al. compare the consequences of population bottlenecks in six ibex species for genome-wide variation and mutation load.
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Abstract
BACKGROUND The aim of this study is to elucidate the characteristics, clinical presentations, and management of epidermoid cysts located in the spleen and the intrapancreatic accessory spleen. METHODS Data pooled for analysis were collected from epidermoid cyst cases encountered in the study institution and sporadic case reports obtained from the English literature. RESULTS There were 115 cases of epidermoid cyst. Seventy eight (67.8 %) were found in the spleen, whereas 37 (32.2 %) were found in the intrapancreatic accessory spleen. Comparing between the two groups, the splenic group showed female predominance, younger age, and larger cystic size. For symptoms, left upper abdominal mass (57.7 %) and left upper abdominal pain (39.0 %) were more commonly found in the spleen group. Meanwhile, the intrapancreatic accessory spleen group had higher percentage of asymptomatic cysts (59.5 %). As for surgical indication, majority of patients in the spleen group underwent surgery for symptomatic relief (75.4 %), while the intrapancreatic accessory spleen group underwent surgery mainly for suspicious malignancy (90.0 %). CONCLUSIONS Surgical treatment for epidermoid cysts of the spleen is considered the optimal treatment for either alleviating the symptoms caused by a bulky cyst or for determining the histopathologic nature of a suspicious malignant cystic neoplasm.
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Affiliation(s)
- Yin-Yin Chen
- Division of General Surgery, Department of Surgery, Taipei Veterans General Hospital, 201 Section 2 Shih-Pai Road, Taipei, 112, Taiwan
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9
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Fukukura Y, Inoue H, Miyazono N, Kajiya Y, Fujiyoshi F, Yano T, Sakoda K, Tanaka S, Aiko T, Nakajo M. Lymphoepithelial cysts of the pancreas: demonstration of lipid component using CT and MRI. J Comput Assist Tomogr 1998; 22:311-3. [PMID: 9530401 DOI: 10.1097/00004728-199803000-00029] [Citation(s) in RCA: 29] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
We present two cases of surgically proven lymphoepithelial cyst (LEC) of the pancreas that had a lipid component visualized by CT and MRI. Identification of this component in a pancreatic cystic lesion is a key to favor the diagnosis of LEC or splenic epidermoid cyst over other cystic lesions when the lesion is noted in an elderly patient.
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Affiliation(s)
- Y Fukukura
- Department of Radiology, Faculty of Medicine, Kagoshima University, Japan
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10
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Younger KA, Hall CM. Epidermoid cyst of the spleen: a case report and review of the literature. Br J Radiol 1990; 63:652-3. [PMID: 2205325 DOI: 10.1259/0007-1285-63-752-652] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Affiliation(s)
- K A Younger
- Department of Radiology, Hospital for Sick Children, London
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11
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Abstract
A case report of squamous cell carcinoma in an epidermoid cyst of the spleen is diagnosed in a pregnant female. Elaboration on the clinical, radiological, and pathological findings is presented to emphasize the distinguishing features of benign and malignant cysts.
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Affiliation(s)
- L Elit
- Department of Obstetrics and Medicine, Grace Hospital, Vancouver, British Columbia, Canada
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12
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Abstract
The case reports of two siblings with solitary epidermoid cysts of the spleen are presented. This improbable chance occurrence raises the possibility of a transmissible genetic defect accounting for the formation of these cysts.
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13
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Sink JD, Filston HC, Kirks DR, Ponzi JW, Tayloe DT. Removal of splenic cyst with salvage of functional splenic tissue. J Pediatr 1982; 100:412-4. [PMID: 7062174 DOI: 10.1016/s0022-3476(82)80443-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
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14
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Daneman A, Martin DJ. Congenital epithelial splenic cysts in children. Emphasis on sonographic appearances and some unusual features. Pediatr Radiol 1982; 12:119-25. [PMID: 7110763 DOI: 10.1007/bf00971799] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
The clinical, radiographic and sonographic features of four children with congenital epithelial splenic cysts are described. All four cases presented with a left upper quadrant mass and few symptoms. In one case the spleen descended into the pelvis in the upright position. In three cases the sonographic findings showed the mass to be completely sonolucent. In the fourth case the mass was echogenic and echoes were distributed homogeneously throughout the mass. These internal echoes were due to the presence of fat droplets within the cyst fluid. Internal echoes may also be due to hemorrhage into the cyst. In all four cases a rim of splenic tissue was visible around part of the cyst.
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Kaufman RA, Silver TM, Wesley JR. Preoperative diagnosis of splenic cysts in children by gray scale ultrasonography. J Pediatr Surg 1979; 14:450-4. [PMID: 490292 DOI: 10.1016/s0022-3468(79)80013-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Ultrasonography is a useful noninvasive modality for the diagnosis of splenic cysts in children. Characteristic features plus the typical clinical and radiographic presentation should obviate the need for further more invasive and costly techniques which add little to diagnostic accuracy. Additional advantages offered by ultrasound a minimal patient discomfort, no ionizing radiation, and immediate reassurance to parents that the mass is a cyst. We report two cases of epidermoid splenic cysts preoperatively diagnosed by ultrasonography. The typical sonographic characteristics are presented and the sonographic differential diagnosis is discussed.
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