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Schweiger B, Göricke S, Ketteler P, Biewald E, Kottke R, Sirin S. [Imaging of retinoblastoma : Current state-of-the-art and future prospects]. RADIOLOGIE (HEIDELBERG, GERMANY) 2022; 62:1067-1074. [PMID: 35969246 PMCID: PMC9712334 DOI: 10.1007/s00117-022-01052-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Accepted: 07/11/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Retinoblastoma is the most common malignant eye tumor in children and is associated with tumor predisposition syndrome (RB1 mutation) in up to 40% of cases. Imaging is an important part of the diagnostic workup of children with retinoblastoma both during the initial diagnosis and follow-up. OBJECTIVES The goal of this review is to present the current state-of-the-art regarding imaging of children with retinoblastoma, including technical background and diagnostic clues with a brief discussion of future prospects. In addition, we summarize the general clinical diagnostic workup and therapeutic options. MATERIALS AND METHODS Review of the literature and our own experience in the imaging of retinoblastoma. CONCLUSION High-resolution magnetic resonance imaging (MRI) is the imaging modality of choice in children with retinoblastoma for diagnosis (estimation of diagnosis/differential diagnosis, evaluation of local and intracranial tumor extension) and during follow-up. Despite the characteristic calcifications, computed tomography (CT) examinations are no longer indicated in these patients. Due to the high association with tumor predisposition syndrome, genetic counselling is recommended.
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Affiliation(s)
- Bernd Schweiger
- Institut für Diagnostische und Interventionelle Radiologie und Neuroradiologie, Universitätsklinikum Essen, Essen, Deutschland
| | - Sophia Göricke
- Institut für Diagnostische und Interventionelle Radiologie und Neuroradiologie, Universitätsklinikum Essen, Essen, Deutschland
| | - Petra Ketteler
- Klinik für Pädiatrische Hämatologie und Onkologie, Universitätsklinikum Essen, Essen, Deutschland
| | - Eva Biewald
- Klinik für Augenheilkunde, Universitätsklinikum Essen, Essen, Deutschland
| | - Raimund Kottke
- Abteilung für Bilddiagnostik, Universitäts-Kinderspital Zürich, Zürich, Schweiz
| | - Selma Sirin
- Abteilung für Bilddiagnostik, Universitäts-Kinderspital Zürich, Zürich, Schweiz.
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D'Arco F, Mertiri L, de Graaf P, De Foer B, Popovič KS, Argyropoulou MI, Mankad K, Brisse HJ, Juliano A, Severino M, Van Cauter S, Ho ML, Robson CD, Siddiqui A, Connor S, Bisdas S. Guidelines for magnetic resonance imaging in pediatric head and neck pathologies: a multicentre international consensus paper. Neuroradiology 2022; 64:1081-1100. [PMID: 35460348 DOI: 10.1007/s00234-022-02950-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 04/05/2022] [Indexed: 12/19/2022]
Abstract
The use of standardized imaging protocols is paramount in order to facilitate comparable, reproducible images and, consequently, to optimize patient care. Standardized MR protocols are lacking when studying head and neck pathologies in the pediatric population. We propose an international, multicenter consensus paper focused on providing the best combination of acquisition time/technical requirements and image quality. Distinct protocols for different regions of the head and neck and, in some cases, for specific pathologies or clinical indications are recommended. This white paper is endorsed by several international scientific societies and it is the result of discussion, in consensus, among experts in pediatric head and neck imaging.
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Affiliation(s)
- Felice D'Arco
- Radiology Department, Great Ormond Street Hospital for Children, London, UK.,Radiology Department, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Livja Mertiri
- Radiology Department, Great Ormond Street Hospital for Children, London, UK. .,Faculty of Medicine and Dentistry, Sapienza University of Rome, Rome, Italy.
| | - Pim de Graaf
- Department of Radiology and Nuclear Medicine, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Bert De Foer
- Radiology Department, GZA Hospitals, Antwerp, Belgium
| | - Katarina S Popovič
- Neuroradiology Department, Clinical Institute of Radiology, University Medical Center Ljubljana, Zaloška 7, 1000, Ljubljana, Slovenia
| | - Maria I Argyropoulou
- Department of Clinical Radiology and Imaging, Medical School, University of Ioannina, Ioannina, Greece
| | - Kshitij Mankad
- Radiology Department, Great Ormond Street Hospital for Children, London, UK
| | - Hervé J Brisse
- Imaging Department, Institut Curie, Paris, France.,Institut Curie, Paris Sciences Et Lettres (PSL) Research University, Paris, France
| | - Amy Juliano
- Department of Radiology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA
| | | | - Sofie Van Cauter
- Department of Medical Imaging, Ziekenhuis Oost-Limburg, Genk, Belgium.,Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium
| | - Mai-Lan Ho
- Nationwide Children's Hospital, Columbus, OH, USA.,The Ohio State University, Columbus, OH, USA
| | - Caroline D Robson
- Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Ata Siddiqui
- Radiology Department, Guy's and St Thomas' NHS Foundation Trust, London, UK.,Department of Neuroradiology, King's College Hospital NHS Foundation Trust, London, UK
| | - Steve Connor
- Radiology Department, Guy's and St Thomas' NHS Foundation Trust, London, UK.,Department of Neuroradiology, King's College Hospital NHS Foundation Trust, London, UK.,School of Biomedical Engineering and Imaging Sciences, St Thomas' Hospital, King's College, London, UK
| | - Sotirios Bisdas
- Lysholm Department of Neuroradiology, The National Hospital for Neurology & Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UK.,Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, London, UK
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3
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Jong MC, Shaikh F, Gallie B, Kors WA, Jansen RW, Dommering C, Graaf P, Moll AC, Dimaras H, Shroff M, Kivelä TT, Soliman SE. Asynchronous pineoblastoma is more likely after early diagnosis of retinoblastoma: a meta-analysis. Acta Ophthalmol 2022; 100:e47-e52. [PMID: 33939299 PMCID: PMC9292554 DOI: 10.1111/aos.14855] [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: 08/26/2020] [Revised: 02/02/2021] [Accepted: 03/02/2021] [Indexed: 11/29/2022]
Abstract
Purpose To determine the risk of patients with an early diagnosis of heritable retinoblastoma being diagnosed with TRb (or pineoblastoma) asynchronously in a later stage and its effect on screening. Methods We updated the search (PubMed and Embase) for published literature as performed by our research group in 2014 and 2019. Trilateral retinoblastoma (TRb) patients were eligible for inclusion if identifiable as unique and the age at which TRb was diagnosed was available. The search yielded 97 new studies. Three new studies and eight new patients were included. Combined with 189 patients from the previous meta‐analysis, the database included 197 patients. The main outcome was the percentage of asynchronous TRb in patients diagnosed before and after preset age thresholds of 6 and 12 months of age at retinoblastoma diagnosis. Results Seventy‐nine per cent of patients with pineoblastoma are diagnosed with retinoblastoma before the age of 12 months. However, baseline MRI screening at time of retinoblastoma diagnosis fails to detect the later diagnosed pineal TRb in 89% of patients. We modelled that an additional MRI performed at the age of 29 months picks up 53% of pineoblastomas in an asymptomatic phase. The detection rate increased to 72%, 87% and 92%, respectively, with 2, 3 and 4 additional MRIs. Conclusions An MRI of the brain in heritable retinoblastoma before the age of 12 months misses most pineoblastomas, while retinoblastomas are diagnosed most often before the age of 12 months. Optimally timed additional MRI scans of the brain can increase the asymptomatic detection rate of pineoblastoma.
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Affiliation(s)
- Marcus C. Jong
- Department of Radiology and Nuclear Medicine Amsterdam UMC Cancer Center Amsterdam Vrije Universiteit Amsterdam Amsterdam The Netherlands
| | - Furqan Shaikh
- Department of Pediatric Hematology and Oncology University of Toronto Toronto ON Canada
| | - Brenda Gallie
- Department of Ophthalmology and Vision Science University of Toronto Toronto ON Canada
- Department of Ophthalmology and Vision Science The Hospital for Sick Children Toronto ON Canada
| | - Wijnanda A. Kors
- Department of Pediatric Oncology Amsterdam UMC Cancer Center Amsterdam Vrije Universiteit Amsterdam Amsterdam The Netherlands
| | - Robin W. Jansen
- Department of Radiology and Nuclear Medicine Amsterdam UMC Cancer Center Amsterdam Vrije Universiteit Amsterdam Amsterdam The Netherlands
| | - Charlotte Dommering
- Department of Clinical Genetics Amsterdam UMC Cancer Center Amsterdam Vrije Universiteit Amsterdam Amsterdam The Netherlands
| | - Pim Graaf
- Department of Radiology and Nuclear Medicine Amsterdam UMC Cancer Center Amsterdam Vrije Universiteit Amsterdam Amsterdam The Netherlands
| | - Annette C. Moll
- Department of Ophthalmology Amsterdam UMC Cancer Center Amsterdam Vrije Universiteit Amsterdam Amsterdam The Netherlands
| | - Helen Dimaras
- Department of Ophthalmology and Vision Science University of Toronto Toronto ON Canada
- Department of Ophthalmology and Vision Science The Hospital for Sick Children Toronto ON Canada
- Child Health Evaluative Sciences Program SickKids Research Institute Toronto ON Canada
- Division of Clinical Public Health Dalla Lana School of Public Health University of Toronto Toronto ON Canada
| | - Manohar Shroff
- Division of Pediatric Neuroradiology The Hospital of Sick Children Toronto ON Canada
| | - Tero T. Kivelä
- Department of Ophthalmology University of Helsinki and Helsinki University Hospital Helsinki Finland
| | - Sameh E. Soliman
- Department of Ophthalmology and Vision Science University of Toronto Toronto ON Canada
- Department of Ophthalmology and Vision Science Ocular Oncology service Princess Margaret Hospital Toronto ON Canada
- Faculty of Medicine Department of Ophthalmology University of Alexandria Alexandria Egypt
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Watal P, Patel RP, Chandra T. Pearls and Pitfalls of Imaging in Pediatric Brain Tumors. Semin Ultrasound CT MR 2022; 43:31-46. [PMID: 35164908 DOI: 10.1053/j.sult.2021.05.004] [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
The central nervous system (CNS) tumors constitute the most common type of solid tumors in the pediatric population. The cerebral and cerebellar parenchyma are the most common site of pediatric CNS neoplasms. Imaging plays an important role in detection, characterization, staging and prognostication of brain tumors. The focus of the current article is pediatric brain tumor imaging with emphasis on pearls and pitfalls of conventional and advanced imaging in various pediatric brain tumor subtypes. The article also elucidates changes in brain tumor terms and entities as applicable to pediatric patients, updated as per World Health Organization (WHO) 2016 classification of primary CNS tumors. This classification introduced the genetic and/or molecular information of primary CNS neoplasms as part of comprehensive tumor pathology report in the routine clinical workflow. The concepts from 2016 classification have been further refined based on current research, by the Consortium to Inform Molecular and Practical Approaches to CNS Tumor Taxonomy (cIMPACT-NOW) group and published in the form of updates. The updates serve as guidelines in the time interval between WHO updates and expect to be broadly adopted in the subsequent WHO classification. The current review covers most pediatric brain tumors except pituitary tumors, meningeal origin tumors, nerve sheath tumors and CNS lymphoma/leukemia.
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Affiliation(s)
- Pankaj Watal
- University of Central Florida College of Medicine and Nemours Children's Hospital, Orlando, FL.
| | - Rajan P Patel
- Section of Neuroradiology, Department of Diagnostic and Interventional Imaging The University of Texas Health Sciences Center at Houston, TX
| | - Tushar Chandra
- University of Central Florida College of Medicine and Nemours Children's Hospital, Orlando, FL
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Morel B, Piredda GF, Cottier JP, Tauber C, Destrieux C, Hilbert T, Sirinelli D, Thiran JP, Maréchal B, Kober T. Normal volumetric and T1 relaxation time values at 1.5 T in segmented pediatric brain MRI using a MP2RAGE acquisition. Eur Radiol 2020; 31:1505-1516. [PMID: 32885296 DOI: 10.1007/s00330-020-07194-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Revised: 07/02/2020] [Accepted: 08/13/2020] [Indexed: 10/23/2022]
Abstract
OBJECTIVES This study introduced a tailored MP2RAGE-based brain acquisition for a comprehensive assessment of the normal maturing brain. METHODS Seventy normal patients (35 girls and 35 boys) from 1 to 16 years of age were recruited within a prospective monocentric study conducted from a single University Hospital. Brain MRI examinations were performed at 1.5 T using a 20-channel head coil and an optimized 3D MP2RAGE sequence with a total acquisition time of 6:36 min. Automated 38 region segmentation was performed using the MorphoBox (template registration, bias field correction, brain extraction, and tissue classification) which underwent a major adaptation of three age-group T1-weighted templates. Volumetry and T1 relaxometry reference ranges were established using a logarithmic model and a modified Gompertz growth respectively. RESULTS Detailed automated brain segmentation and T1 mapping were successful in all patients. Using these data, an age-dependent model of normal brain maturation with respect to changes in volume and T1 relaxometry was established. After an initial rapid increase until 24 months of life, the total intracranial volume was found to converge towards 1400 mL during adolescence. The expected volumes of white matter (WM) and cortical gray matter (GM) showed a similar trend with age. After an initial major decrease, T1 relaxation times were observed to decrease progressively in all brain structures. The T1 drop in the first year of life was more pronounced in WM (from 1000-1100 to 650-700 ms) than in GM structures. CONCLUSION The 3D MP2RAGE sequence allowed to establish brain volume and T1 relaxation time normative ranges in pediatrics. KEY POINTS • The 3D MP2RAGE sequence provided a reliable quantitative assessment of brain volumes and T1 relaxation times during childhood. • An age-dependent model of normal brain maturation was established. • The normative ranges enable an objective comparison to a normal cohort, which can be useful to further understand, describe, and identify neurodevelopmental disorders in children.
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Affiliation(s)
- Baptiste Morel
- Inserm UMR 1253, iBrain, Université de Tours, Tours, France. .,Pediatric Radiology Department, Clocheville Hospital, CHRU de Tours, 49 Boulevard Beranger, 37000, Tours, France.
| | - Gian Franco Piredda
- Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland.,Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,LTS5, École Polytechnique FÉdÉrale de Lausanne (EPFL), Lausanne, Switzerland
| | | | - Clovis Tauber
- Inserm UMR 1253, iBrain, Université de Tours, Tours, France
| | | | - Tom Hilbert
- Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland.,Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,LTS5, École Polytechnique FÉdÉrale de Lausanne (EPFL), Lausanne, Switzerland
| | | | - Jean-Philippe Thiran
- Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,LTS5, École Polytechnique FÉdÉrale de Lausanne (EPFL), Lausanne, Switzerland
| | - Bénédicte Maréchal
- Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland.,Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,LTS5, École Polytechnique FÉdÉrale de Lausanne (EPFL), Lausanne, Switzerland
| | - Tobias Kober
- Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland.,Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,LTS5, École Polytechnique FÉdÉrale de Lausanne (EPFL), Lausanne, Switzerland
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Abstract
We attempted to investigate the potential role for apparent diffusion coefficient (ADC) to diagnose trilateral retinoblastoma (TRb) by retrospectively reviewing brain magnetic resonance images of retinoblastoma patients. Observations: The median ADC measured 620.95 for TRb (n=6) and 1238.5 for normal pineal gland in bilateral retinoblastoma (n=8). Monitoring ADC trends aided in establishing the appropriate diagnoses in 3 patients (2 TRb, 1 benign pineal cyst). Conclusions: Our results provide baseline reference data and describe the importance of downward trending ADC which should prompt consideration of TRb. Unchanged high/nonrestricted values (>1000) may distinguish those with benign pineal tissue and obviate invasive neurosurgical procedures.
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7
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de Jong MC, Kors WA, Moll AC, de Graaf P, Castelijns JA, Jansen RW, Gallie B, Soliman SE, Shaikh F, Dimaras H, Kivelä TT. Screening for Pineal Trilateral Retinoblastoma Revisited: A Meta-analysis. Ophthalmology 2019; 127:601-607. [PMID: 32061409 DOI: 10.1016/j.ophtha.2019.10.040] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2019] [Revised: 10/19/2019] [Accepted: 10/28/2019] [Indexed: 12/13/2022] Open
Abstract
TOPIC To determine the age up to which children are at risk of trilateral retinoblastoma (TRb) developing, whether its onset is linked to the age at which intraocular retinoblastomas develop, and the lead time from a detectable pineal TRb to symptoms. CLINICAL RELEVANCE Approximately 45% of patients with retinoblastoma-those with a germline RB1 pathogenic variant-are at risk of pineal TRb developing. Early detection and treatment are essential for survival. Current evidence is unclear regarding the usefulness of screening for pineal TRb and, if useful, the age up to which screening should be continued. METHODS We conducted a study according to the Meta-analysis of Observational Studies in Epidemiology guidelines for reporting meta-analyses of observational studies. We searched PubMed and Embase between January 1, 1966, and February 27, 2019, for published literature. We considered articles reporting patients with TRb with survival and follow-up data. Inclusion of articles was performed separately and independently by 2 authors, and 2 authors also independently extracted the relevant data. They resolved discrepancies by consensus. RESULTS One hundred thirty-eight patients with pineal TRb were included. Of 22 asymptomatic patients, 21 (95%) were diagnosed before the age of 40 months (median, 16 months; interquartile range, 9-29 months). Age at diagnosis of pineal TRb in patients diagnosed with retinoblastoma at 6 months or younger versus older than 6 months were comparable (P = 0.44), suggesting independence between the ages at diagnosis of intraocular retinoblastoma and pineal TRb. The laterality of intraocular retinoblastoma and its treatment were not associated with the age at which pineal TRb was diagnosed. The lead time from asymptomatic to symptomatic pineal TRb was approximately 1 year. By performing a screening magnetic resonance imaging scan every 6 months after the diagnosis of heritable retinoblastoma (median age, 6 months) until 36 months of age, at least 311 and 776 scans would be required to detect 1 case of asymptomatic pineal TRb and to save a single life, respectively. CONCLUSIONS Patients with retinoblastoma are at risk of pineal TRb developing for a shorter period than previously assumed, and the age at diagnosis of pineal TRb is independent of the age at diagnosis of retinoblastoma. The GRADE (Grading of Recommendations Assessment, Development and Evaluation) level of evidence for these conclusions remains low.
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Affiliation(s)
- Marcus C de Jong
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Cancer Center Amsterdam, Amsterdam, The Netherlands.
| | - Wijnanda A Kors
- Department of Pediatric Oncology, Amsterdam UMC, Vrije Universiteit Amsterdam, Cancer Center Amsterdam, Amsterdam, The Netherlands
| | - Annette C Moll
- Department of Ophthalmology, Amsterdam UMC, Vrije Universiteit Amsterdam, Cancer Center Amsterdam, Amsterdam, The Netherlands
| | - Pim de Graaf
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Cancer Center Amsterdam, Amsterdam, The Netherlands
| | - Jonas A Castelijns
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Cancer Center Amsterdam, Amsterdam, The Netherlands
| | - Robin W Jansen
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Cancer Center Amsterdam, Amsterdam, The Netherlands
| | - Brenda Gallie
- Department of Ophthalmology and Vision Science, The Hospital for Sick Children, Toronto, Canada; Department of Ophthalmology and Vision Science, University of Toronto, Toronto, Canada
| | - Sameh E Soliman
- Department of Ophthalmology and Vision Science, The Hospital for Sick Children, Toronto, Canada; Faculty of Medicine, Department of Ophthalmology, University of Alexandria, Alexandria, Egypt
| | - Furqan Shaikh
- Department of Pediatrics, University of Toronto, Toronto, Ontario, Canada
| | - Helen Dimaras
- Department of Ophthalmology and Vision Science, The Hospital for Sick Children, Toronto, Canada; Department of Ophthalmology and Vision Science, University of Toronto, Toronto, Canada; Child Health Evaluative Sciences Program, SickKids Research Institute, Toronto, Canada; Division of Clinical Public Health, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Tero T Kivelä
- Department of Ophthalmology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
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8
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Dimaras H, Corson TW. Retinoblastoma, the visible CNS tumor: A review. J Neurosci Res 2019; 97:29-44. [PMID: 29314142 PMCID: PMC6034991 DOI: 10.1002/jnr.24213] [Citation(s) in RCA: 104] [Impact Index Per Article: 20.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2017] [Revised: 12/02/2017] [Accepted: 12/11/2017] [Indexed: 12/11/2022]
Abstract
The pediatric ocular cancer retinoblastoma is the only central nervous system (CNS) tumor readily observed without specialized equipment: it can be seen by, and in, the naked eye. This accessibility enables unique imaging modalities. Here, we review this cancer for a neuroscience audience, highlighting these clinical and research imaging options, including fundus imaging, optical coherence tomography, ultrasound, and magnetic resonance imaging. We also discuss the subtype of retinoblastoma driven by the MYCN oncogene more commonly associated with neuroblastoma, and consider trilateral retinoblastoma, in which an intracranial tumor arises along with ocular tumors in patients with germline RB1 gene mutations. Retinoblastoma research and clinical care can offer insights applicable to CNS malignancies, and also benefit from approaches developed elsewhere in the CNS.
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Affiliation(s)
- Helen Dimaras
- Department of Ophthalmology and Vision Sciences, Faculty of Medicine, University of Toronto, Toronto, ON, M5S 1A8, Canada
- Division of Clinical Public Health, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, M5S 1A8, Canada
- Department of Ophthalmology and Vision Sciences, The Hospital for Sick Children, Toronto, ON, M5G 1X8, Canada
- Child Health Evaluative Sciences Program, SickKids Research Institute, Toronto, ON, M5G 1X8, Canada
- Department of Human Pathology, College of Health Sciences, University of Nairobi, Nairobi, Kenya
| | - Timothy W. Corson
- Eugene and Marilyn Glick Eye Institute, Department of Ophthalmology, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
- Department of Pharmacology & Toxicology, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
- Indiana University Melvin and Bren Simon Cancer Center, Indianapolis, IN, 46202, USA
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9
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Clinical Applications of Quantitative 3-Dimensional MRI Analysis for Pediatric Embryonal Brain Tumors. Int J Radiat Oncol Biol Phys 2018; 102:744-756. [DOI: 10.1016/j.ijrobp.2018.05.077] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2017] [Revised: 05/22/2018] [Accepted: 05/28/2018] [Indexed: 12/23/2022]
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10
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Bonanomi MTBC, Saito OC, de Lima PP, Bonanomi RC, Chammas MC. Blood Flow in Monocular Retinoblastoma Assessed by Color Doppler and Correlations With High-Risk Pathologic Features. Invest Ophthalmol Vis Sci 2018; 59:5441-5446. [PMID: 30452597 DOI: 10.1167/iovs.18-24777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Purpose To use color Doppler to analyze blood flow in the retrobulbar central retinal artery (CRA) and central retinal vein (CRV) in monocular retinoblastoma. Methods This prospective study included patients with group D and E retinoblastomas managed with only enucleation. Peak blood velocities were assessed in the CRA and CRV of tumor-containing eyes (CRAv and CRVv, respectively). The resistivity index in the CRA (RIa) and pulse index in the CRV (PIv) were calculated and related to optic nerve invasion (ONi), choroid invasion (mCHi), and tumor volume. RIa and PIv were also calculated for healthy eyes. Results In total, 25 patients with a mean age of 30.8-months old were included. The means (SD) for CRAv, CRVv, RIa, and PIv were 26.94 (12.32) cm/s, 16.2 (9.56) cm/s, 0.88 (0.12) and 0.79 (0.29), respectively. Tumor volume was significantly correlated with CRAv (P = 0.025) and RIa (P = 0.032). ONi was present in 19 eyes and correlated with a smaller PIv (P < 0.001). A PIv less than 0.935 had a sensitivity of 89.5% and specificity of 83.3% for predicting ONi. mCHi was not correlated with flow values. Healthy eyes had a significantly lower RIa (P < 0.001) and lower PIv than eyes with (P = 0.009) and without (P < 0.001) ONi. Conclusions In advanced-stage monocular retinoblastoma, tumor volume was directly correlated with CRAv and RIa, and lower PIv was correlated with optic nerve invasion when a predictive cut-off value of less than 0.935 was applied. Comparisons with healthy eyes showed that tumor-containing eyes were associated with higher RIa and PIv values.
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Affiliation(s)
| | - Osmar C Saito
- Department of Radiology and Ultrasound, University of São Paulo, São Paulo, São Paulo, Brazil
| | | | | | - Maria Cristina Chammas
- Department of Radiology and Ultrasound, University of São Paulo, São Paulo, São Paulo, Brazil
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