1
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Kotch C, de Blank P, Gutmann DH, Fisher MJ. Low-grade glioma in children with neurofibromatosis type 1: surveillance, treatment indications, management, and future directions. Childs Nerv Syst 2024; 40:3241-3250. [PMID: 38704493 DOI: 10.1007/s00381-024-06430-8] [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: 03/20/2024] [Accepted: 04/26/2024] [Indexed: 05/06/2024]
Abstract
Neurofibromatosis type 1 (NF1) is an autosomal dominant cancer predisposition syndrome characterized by the development of both central and peripheral nervous system tumors. Low-grade glioma (LGG) is the most prevalent central nervous system tumor occurring in children with NF1, arising most frequently within the optic pathway, followed by the brainstem. Historically, treatment of NF1-LGG has been limited to conventional cytotoxic chemotherapy and surgery. Despite treatment with chemotherapy, a subset of children with NF1-LGG fail initial therapy, have a continued decline in function, or recur. The recent development of several preclinical models has allowed for the identification of novel, molecularly targeted therapies. At present, exploration of these novel precision-based therapies is ongoing in the preclinical setting and through larger, collaborative clinical trials. Herein, we review the approach to surveillance and management of NF1-LGG in children and discuss upcoming novel therapies and treatment protocols.
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Affiliation(s)
- Chelsea Kotch
- Division of Oncology, Children's Hospital of Philadelphia, 3500 Civic Center Blvd, Philadelphia, PA, 19104, USA.
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, 3500 Civic Center Blvd, Philadelphia, PA, 19104, USA.
| | - Peter de Blank
- Division of Oncology, University of Cincinnati Medical Center and Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - David H Gutmann
- Division of Neurology, Washington University of St. Louis, St. Louis, MO, USA
| | - Michael J Fisher
- Division of Oncology, Children's Hospital of Philadelphia, 3500 Civic Center Blvd, Philadelphia, PA, 19104, USA
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, 3500 Civic Center Blvd, Philadelphia, PA, 19104, USA
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2
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Familiar AM, Fathi Kazerooni A, Vossough A, Ware JB, Bagheri S, Khalili N, Anderson H, Haldar D, Storm PB, Resnick AC, Kann BH, Aboian M, Kline C, Weller M, Huang RY, Chang SM, Fangusaro JR, Hoffman LM, Mueller S, Prados M, Nabavizadeh A. Towards consistency in pediatric brain tumor measurements: Challenges, solutions, and the role of artificial intelligence-based segmentation. Neuro Oncol 2024; 26:1557-1571. [PMID: 38769022 PMCID: PMC11376457 DOI: 10.1093/neuonc/noae093] [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: 02/13/2024] [Indexed: 05/22/2024] Open
Abstract
MR imaging is central to the assessment of tumor burden and changes over time in neuro-oncology. Several response assessment guidelines have been set forth by the Response Assessment in Pediatric Neuro-Oncology (RAPNO) working groups in different tumor histologies; however, the visual delineation of tumor components using MRIs is not always straightforward, and complexities not currently addressed by these criteria can introduce inter- and intra-observer variability in manual assessments. Differentiation of non-enhancing tumors from peritumoral edema, mild enhancement from absence of enhancement, and various cystic components can be challenging; particularly given a lack of sufficient and uniform imaging protocols in clinical practice. Automated tumor segmentation with artificial intelligence (AI) may be able to provide more objective delineations, but rely on accurate and consistent training data created manually (ground truth). Herein, this paper reviews existing challenges and potential solutions to identifying and defining subregions of pediatric brain tumors (PBTs) that are not explicitly addressed by current guidelines. The goal is to assert the importance of defining and adopting criteria for addressing these challenges, as it will be critical to achieving standardized tumor measurements and reproducible response assessment in PBTs, ultimately leading to more precise outcome metrics and accurate comparisons among clinical studies.
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Affiliation(s)
- Ariana M Familiar
- Center for Data-Driven Discovery in Biomedicine (D3b), Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Anahita Fathi Kazerooni
- Center for Data-Driven Discovery in Biomedicine (D3b), Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- AI2D Center for AI and Data Science for Integrated Diagnostics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Arastoo Vossough
- Division of Radiology, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Center for Data-Driven Discovery in Biomedicine (D3b), Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Jeffrey B Ware
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Sina Bagheri
- Center for Data-Driven Discovery in Biomedicine (D3b), Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Nastaran Khalili
- Center for Data-Driven Discovery in Biomedicine (D3b), Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Hannah Anderson
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Debanjan Haldar
- Department of Neurosurgery, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Phillip B Storm
- Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Center for Data-Driven Discovery in Biomedicine (D3b), Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Adam C Resnick
- Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Center for Data-Driven Discovery in Biomedicine (D3b), Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Benjamin H Kann
- Department of Radiation Oncology, Dana-Farber Cancer Institute | Brigham and Women’s Hospital | Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Mariam Aboian
- Division of Radiology, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Cassie Kline
- Division of Oncology, Department of Pediatrics, Children’s Hospital of Philadelphia, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Michael Weller
- Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland
| | - Raymond Y Huang
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Susan M Chang
- Division of Neuro-Oncology, Department of Neurosurgery, University of California, San Francisco, California, USA
| | - Jason R Fangusaro
- The Aflac Cancer Center, Children’s Healthcare of Atlanta and the Emory University School of Medicine, Atlanta, Georgia, USA
| | - Lindsey M Hoffman
- Division of Hematology/Oncology, Phoenix Children’s Hospital, Phoenix, Arizona, USA
| | - Sabine Mueller
- Department of Neurology, Neurosurgery and Pediatrics, University of California, San Francisco, California, USA
| | - Michael Prados
- Department of Neurosurgery and Pediatrics, University of California, San Francisco, California, USA
| | - Ali Nabavizadeh
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Center for Data-Driven Discovery in Biomedicine (D3b), Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
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3
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Shin HJ, Costello F. Imaging the optic nerve with optical coherence tomography. Eye (Lond) 2024; 38:2365-2379. [PMID: 38961147 PMCID: PMC11306400 DOI: 10.1038/s41433-024-03165-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Revised: 06/03/2024] [Accepted: 06/04/2024] [Indexed: 07/05/2024] Open
Abstract
Optical coherence tomography (OCT) is a non-invasive imaging technology, which may be used to generate in vivo quantitative and qualitative measures of retinal structure. In terms of quantitative metrics, peripapillary retinal nerve fiber layer (pRNFL) thickness provides an indirect evaluation of axonal integrity within the optic nerve. Ganglion layer measures derived from macular scans indirectly reflect retinal ganglion cell status. Notably, ganglion layer indices are platform dependent and may include macular ganglion cell inner plexiform layer (mGCIPL), ganglion cell layer (GCL), and ganglion cell complex (GCC) analyses of thickness or volume. Interpreted together, pRNFL thickness and ganglion layer values can be used to diagnose optic neuropathies, monitor disease progression, and gauge response to therapeutic interventions for neuro-ophthalmic conditions. Qualitative assessments of the optic nerve head, using cross-sectional transverse axial, en face, and circular OCT imaging, may help distinguish papilledema from pseudopapilloedema, and identify outer retinal pathology. Innovations in OCT protocols and approaches including enhanced depth imaging (EDI), swept source (SS) techniques, and angiography (OCTA) may offer future insights regarding the potential pathogenesis of different optic neuropathies. Finally, recent developments in artificial intelligence (AI) utilizing OCT images may overcome longstanding challenges, which have plagued non-vision specialists who often struggle to perform reliable ophthalmoscopy. In this review, we aim to discuss the benefits and pitfalls of OCT, consider the practical applications of this technology in the assessment of optic neuropathies, and highlight scientific discoveries in the realm of optic nerve imaging that will ultimately change how neuro-ophthalmologists care for patients.
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Affiliation(s)
- Hyun Jin Shin
- Konkuk University School of Medicine, Chungju city, Republic of Korea
- Department of Ophthalmology, Konkuk University Medical Center, Seoul, Republic of Korea
- Research Institute of Medical Science, Konkuk University School of Medicine, Seoul, Republic of Korea
- Institute of Biomedical Science & Technology, Konkuk University, Seoul, Republic of Korea
| | - Fiona Costello
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
- Department of Surgery, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
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4
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Kazerooni AF, Khalili N, Liu X, Haldar D, Jiang Z, Anwar SM, Albrecht J, Adewole M, Anazodo U, Anderson H, Bagheri S, Baid U, Bergquist T, Borja AJ, Calabrese E, Chung V, Conte GM, Dako F, Eddy J, Ezhov I, Familiar A, Farahani K, Haldar S, Iglesias JE, Janas A, Johansen E, Jones BV, Kofler F, LaBella D, Lai HA, Van Leemput K, Li HB, Maleki N, McAllister AS, Meier Z, Menze B, Moawad AW, Nandolia KK, Pavaine J, Piraud M, Poussaint T, Prabhu SP, Reitman Z, Rodriguez A, Rudie JD, Shaikh IS, Shah LM, Sheth N, Shinohara RT, Tu W, Viswanathan K, Wang C, Ware JB, Wiestler B, Wiggins W, Zapaishchykova A, Aboian M, Bornhorst M, de Blank P, Deutsch M, Fouladi M, Hoffman L, Kann B, Lazow M, Mikael L, Nabavizadeh A, Packer R, Resnick A, Rood B, Vossough A, Bakas S, Linguraru MG. The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs). ARXIV 2024:arXiv:2305.17033v7. [PMID: 37292481 PMCID: PMC10246083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Pediatric tumors of the central nervous system are the most common cause of cancer-related death in children. The five-year survival rate for high-grade gliomas in children is less than 20%. Due to their rarity, the diagnosis of these entities is often delayed, their treatment is mainly based on historic treatment concepts, and clinical trials require multi-institutional collaborations. The MICCAI Brain Tumor Segmentation (BraTS) Challenge is a landmark community benchmark event with a successful history of 12 years of resource creation for the segmentation and analysis of adult glioma. Here we present the CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs 2023 challenge, which represents the first BraTS challenge focused on pediatric brain tumors with data acquired across multiple international consortia dedicated to pediatric neuro-oncology and clinical trials. The BraTS-PEDs 2023 challenge focuses on benchmarking the development of volumentric segmentation algorithms for pediatric brain glioma through standardized quantitative performance evaluation metrics utilized across the BraTS 2023 cluster of challenges. Models gaining knowledge from the BraTS-PEDs multi-parametric structural MRI (mpMRI) training data will be evaluated on separate validation and unseen test mpMRI dataof high-grade pediatric glioma. The CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs 2023 challenge brings together clinicians and AI/imaging scientists to lead to faster development of automated segmentation techniques that could benefit clinical trials, and ultimately the care of children with brain tumors.
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Affiliation(s)
- Anahita Fathi Kazerooni
- Center for Data-Driven Discovery in Biomedicine (D3b), Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, PA, USA
- Center for AI & Data Science for Integrated Diagnostics (AI2D) and Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
| | - Nastaran Khalili
- Center for Data-Driven Discovery in Biomedicine (D3b), Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Xinyang Liu
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children’s National Hospital, Washington DC, USA
| | - Debanjan Haldar
- Center for Data-Driven Discovery in Biomedicine (D3b), Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Neurosurgery, Thomas Jefferson University Hospital, PA, USA
| | - Zhifan Jiang
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children’s National Hospital, Washington DC, USA
| | - Syed Muhammed Anwar
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children’s National Hospital, Washington DC, USA
| | | | - Maruf Adewole
- Medical Artificial Intelligence (MAI) Lab, Crestview Radiology, Lagos, Nigeria
| | - Udunna Anazodo
- Montreal Neurological Institute (MNI), McGill University, Montreal, QC, Canada
| | - Hannah Anderson
- Center for Data-Driven Discovery in Biomedicine (D3b), Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Sina Bagheri
- Center for Data-Driven Discovery in Biomedicine (D3b), Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Ujjwal Baid
- Center for AI & Data Science for Integrated Diagnostics (AI2D) and Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Austin J. Borja
- Department of Neurosurgery at the University of Southern California, CA, USA
| | - Evan Calabrese
- Department of Radiology, Duke University Medical Center, USA
| | | | | | - Farouk Dako
- Center for Global Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Ivan Ezhov
- Department of Informatics, Technical University Munich, Germany
- TranslaTUM - Central Institute for Translational Cancer Research, Technical University of Munich, Germany
| | - Ariana Familiar
- Center for Data-Driven Discovery in Biomedicine (D3b), Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Keyvan Farahani
- Cancer Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Shuvanjan Haldar
- Center for Data-Driven Discovery in Biomedicine (D3b), Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Biomedical Engineering Rutgers University, New Brunswick, NJ, USA
| | - Juan Eugenio Iglesias
- Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA
| | | | - Elaine Johansen
- PrecisionFDA, U.S. Food and Drug Administration, Silver Spring, MD, USA
| | | | | | - Dominic LaBella
- Department of Radiation Oncology, Duke University Medical Center, USA
| | - Hollie Anne Lai
- Department of Radiology, Children’s Health Orange County, CA, USA
| | - Koen Van Leemput
- Department of Applied Mathematics and Computer Science, Technical University of Denmark, Denmark
| | - Hongwei Bran Li
- Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA
| | | | | | | | - Bjoern Menze
- Biomedical Image Analysis & Machine Learning, Department of Quantitative Biomedicine, University of Zurich, Switzerland
- Department of Neuroradiology, Technical University of Munich, Munich, Germany
| | | | - Khanak K Nandolia
- Department of Diagnostic and Interventional Radiology, All India Institute of Medical Sciences, Rishikesh, India
| | - Julija Pavaine
- Department of Paediatric Radiology, Royal Manchester Children’s Hospital, Manchester University Hospitals NHS Foundation Trust, University of Manchester, Manchester, UK
- Division of Informatics, Imaging & Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | | | - Tina Poussaint
- Dana-Farber Brigham Cancer Center & Boston Children’s Hospital, Boston, MA, USA
| | - Sanjay P Prabhu
- Division of Neuroradiology, Department of Radiology, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Zachary Reitman
- Department of Radiation Oncology, Duke University Medical Center, USA
| | - Andres Rodriguez
- Department of Diagnostic & Interventional Imaging, Neuroradiology section. The University of Texas Health Sciences Center at Houston
| | | | | | | | - Nakul Sheth
- Department of Radiology, The Children’s Hospital of Philadelphia, PA, USA
| | - Russel Taki Shinohara
- Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, USA
| | - Wenxin Tu
- College of Arts and Sciences, University of Pennsylvania, PA, USA
| | - Karthik Viswanathan
- Center for Data-Driven Discovery in Biomedicine (D3b), Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Chunhao Wang
- Department of Radiation Oncology, Duke University Medical Center, USA
| | - Jeffrey B Ware
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Benedikt Wiestler
- Department of Neuroradiology, Technical University of Munich, Munich, Germany
| | - Walter Wiggins
- Department of Radiology, Duke University Medical Center, USA
| | - Anna Zapaishchykova
- Dana-Farber Brigham Cancer Center & Boston Children’s Hospital, Boston, MA, USA
| | | | - Miriam Bornhorst
- Brain Tumor Institute, Children’s National Hospital, Washington, DC, USA
| | - Peter de Blank
- Brain Tumor Center, Cincinnati Children’s Hospital, Cincinnati, OH, USA
| | - Michelle Deutsch
- Pediatric Neuro-Oncology Program, Nationwide Children’s Hospital, Columbus, OH, US
| | - Maryam Fouladi
- Pediatric Neuro-Oncology Program, Nationwide Children’s Hospital, Columbus, OH, US
| | - Lindsey Hoffman
- Center for Cancer and Blood Disorders, Phoenix Children’s Hospital, Phoenix, AZ, US
| | - Benjamin Kann
- Dana-Farber Brigham Cancer Center & Boston Children’s Hospital, Boston, MA, USA
| | - Margot Lazow
- Pediatric Neuro-Oncology Program, Nationwide Children’s Hospital, Columbus, OH, US
| | - Leonie Mikael
- Pediatric Neuro-Oncology Program, Nationwide Children’s Hospital, Columbus, OH, US
| | - Ali Nabavizadeh
- Center for Data-Driven Discovery in Biomedicine (D3b), Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Roger Packer
- Brain Tumor Institute, Children’s National Hospital, Washington, DC, USA
| | - Adam Resnick
- Center for Data-Driven Discovery in Biomedicine (D3b), Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, PA, USA
| | - Brian Rood
- Center for Cancer and Blood Disorders, Children’s National Hospital, Washington, DC, USA
| | - Arastoo Vossough
- Center for Data-Driven Discovery in Biomedicine (D3b), Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Radiology, The Children’s Hospital of Philadelphia, PA, USA
| | - Spyridon Bakas
- Center for AI & Data Science for Integrated Diagnostics (AI2D) and Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Marius George Linguraru
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children’s National Hospital, Washington DC, USA
- Departments of Radiology and Pediatrics, George Washington University School of Medicine and Health Sciences, Washington, DC, USA
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Miyagishima KJ, Qiao F, Stasheff SF, Nadal-Nicolás FM. Visual Deficits and Diagnostic and Therapeutic Strategies for Neurofibromatosis Type 1: Bridging Science and Patient-Centered Care. Vision (Basel) 2024; 8:31. [PMID: 38804352 PMCID: PMC11130890 DOI: 10.3390/vision8020031] [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: 03/02/2024] [Revised: 05/03/2024] [Accepted: 05/04/2024] [Indexed: 05/29/2024] Open
Abstract
Neurofibromatosis type 1 (NF1) is an inherited autosomal dominant disorder primarily affecting children and adolescents characterized by multisystemic clinical manifestations. Mutations in neurofibromin, the protein encoded by the Nf1 tumor suppressor gene, result in dysregulation of the RAS/MAPK pathway leading to uncontrolled cell growth and migration. Neurofibromin is highly expressed in several cell lineages including melanocytes, glial cells, neurons, and Schwann cells. Individuals with NF1 possess a genetic predisposition to central nervous system neoplasms, particularly gliomas affecting the visual pathway, known as optic pathway gliomas (OPGs). While OPGs are typically asymptomatic and benign, they can induce visual impairment in some patients. This review provides insight into the spectrum and visual outcomes of NF1, current diagnostic techniques and therapeutic interventions, and explores the influence of NF1-OPGS on visual abnormalities. We focus on recent advancements in preclinical animal models to elucidate the underlying mechanisms of NF1 pathology and therapies targeting NF1-OPGs. Overall, our review highlights the involvement of retinal ganglion cell dysfunction and degeneration in NF1 disease, and the need for further research to transform scientific laboratory discoveries to improved patient outcomes.
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Affiliation(s)
- Kiyoharu J. Miyagishima
- Retinal Neurophysiology Section, National Eye Institute, National Institutes of Health, Bethesda, MD 20892, USA; (K.J.M.); (F.Q.); (S.F.S.)
| | - Fengyu Qiao
- Retinal Neurophysiology Section, National Eye Institute, National Institutes of Health, Bethesda, MD 20892, USA; (K.J.M.); (F.Q.); (S.F.S.)
| | - Steven F. Stasheff
- Retinal Neurophysiology Section, National Eye Institute, National Institutes of Health, Bethesda, MD 20892, USA; (K.J.M.); (F.Q.); (S.F.S.)
- Center for Neuroscience and Behavioral Medicine, Gilbert Neurofibromatosis Institute, Children’s National Health System, Washington, DC 20010, USA
- Neurology Department, George Washington University School of Medicine, Washington, DC 20037, USA
| | - Francisco M. Nadal-Nicolás
- Retinal Neurophysiology Section, National Eye Institute, National Institutes of Health, Bethesda, MD 20892, USA; (K.J.M.); (F.Q.); (S.F.S.)
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6
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Modrzejewska M, Olejnik-Wojciechowska J, Roszyk A, Szychot E, Konczak TD, Szemitko M, Peregud-Pogorzelski JW. Optic Pathway Gliomas in Pediatric Population-Current Approach in Diagnosis and Management: Literature Review. J Clin Med 2023; 12:6709. [PMID: 37959175 PMCID: PMC10649937 DOI: 10.3390/jcm12216709] [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: 08/10/2023] [Revised: 10/05/2023] [Accepted: 10/17/2023] [Indexed: 11/15/2023] Open
Abstract
In this paper, the authors present a clinical picture of the diagnosis and current treatment regimens of optic pathway glioma in the pediatric population, with an emphasis on the role of an ophthalmic diagnosis in the differentiation and monitoring of lesions. Glioma is the most common optic nerve tumor in children. MATERIAL Articles in PubMed, Scholar and Website were reviewed, taking into account current standards of management related to sporadic or NF1-related optic glioma, epidemiology, location, course of the disease, clinical manifestations, histological types of the tumor, genetic predisposition, diagnostic ophthalmic tests currently applicable in therapeutic monitoring of the tumor, neurological diagnosis, therapeutic management and prognosis. The importance of current screening recommendations, in line with standards, was emphasized. RESULTS Glioma occurs in children most often in the first decade of life. Initially, they may be asymptomatic, and clinically ophthalmic changes are associated with the organ of vision or with systemic changes. Gliomas associated with the NF1 mutation have a better prognosis for sporadic gliomas. Diagnosis includes radiological imaging methods/MRI/ophthalmology/OCT and visual acuity log MAR assessment. The basis of treatment is clinical observation. In the case of disease progression, surgical treatment, chemotherapy and targeted therapy are used. CONCLUSION Further research into novel techniques for detecting gliomas would allow for early monitoring of the disease.
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Affiliation(s)
- Monika Modrzejewska
- II Department of Ophthalmology, Pomeranian Medical University, Al. Powstańców Wlkp. 72, 70-111 Szczecin, Poland
| | - Joanna Olejnik-Wojciechowska
- Scientific Students Association of Ophtalmology, II Department of Ophthalmology, Pomeranian Medical University, Szczecin Unia Lubelska 1 Street, 71-252 Szczecin, Poland
| | - Agnieszka Roszyk
- Scientific Students Association of Ophtalmology, II Department of Ophthalmology, Pomeranian Medical University, Szczecin Unia Lubelska 1 Street, 71-252 Szczecin, Poland
| | - Elwira Szychot
- Department of Paediatrics, Oncology and Paediatric Immunology, Pomeranian Medical University, 71-252 Szczecin, Poland
- Department of Paediatric Onclogy, Great Ormond Street Hospital for Children, London WC1N 1LE, UK
| | - Tomasz Dariusz Konczak
- Department of Paediatrics, Oncology and Paediatric Immunology, Pomeranian Medical University, 71-252 Szczecin, Poland
| | - Marcin Szemitko
- Department of Intervantional Radiology, Pomerian Medical University, 70-111 Szczecin, Poland
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7
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Irshad K, Huang YK, Rodriguez P, Lo J, Aghoghovwia BE, Pan Y, Chang KC. The Neuroimmune Regulation and Potential Therapeutic Strategies of Optic Pathway Glioma. Brain Sci 2023; 13:1424. [PMID: 37891793 PMCID: PMC10605541 DOI: 10.3390/brainsci13101424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 09/28/2023] [Accepted: 10/03/2023] [Indexed: 10/29/2023] Open
Abstract
Optic pathway glioma (OPG) is one of the causes of pediatric visual impairment. Unfortunately, there is as yet no cure for such a disease. Understanding the underlying mechanisms and the potential therapeutic strategies may help to delay the progression of OPG and rescue the visual morbidities. Here, we provide an overview of preclinical OPG studies and the regulatory pathways controlling OPG pathophysiology. We next discuss the role of microenvironmental cells (neurons, T cells, and tumor-associated microglia and macrophages) in OPG development. Last, we provide insight into potential therapeutic strategies for treating OPG and promoting axon regeneration.
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Affiliation(s)
- Khushboo Irshad
- Department of Symptom Research, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; (K.I.); (B.E.A.)
| | - Yu-Kai Huang
- Division of Neurosurgery, Department of Surgery, Kaohsiung Medical University Hospital, Kaohsiung 80708, Taiwan;
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80708, Taiwan
| | - Paul Rodriguez
- Department of Ophthalmology, Louis J. Fox Center for Vision Restoration, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA;
| | - Jung Lo
- Department of Ophthalmology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan;
| | - Benjamin E. Aghoghovwia
- Department of Symptom Research, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; (K.I.); (B.E.A.)
| | - Yuan Pan
- Department of Symptom Research, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; (K.I.); (B.E.A.)
- Department of Neuro-Oncology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Kun-Che Chang
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80708, Taiwan
- Department of Ophthalmology, Louis J. Fox Center for Vision Restoration, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA;
- Department of Neurobiology, Center of Neuroscience, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
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8
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Tang Y, Gutmann DH. Neurofibromatosis Type 1-Associated Optic Pathway Gliomas: Current Challenges and Future Prospects. Cancer Manag Res 2023; 15:667-681. [PMID: 37465080 PMCID: PMC10351533 DOI: 10.2147/cmar.s362678] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Accepted: 06/06/2023] [Indexed: 07/20/2023] Open
Abstract
Optic pathway glioma (OPG) occurs in as many as one-fifth of individuals with the neurofibromatosis type 1 (NF1) cancer predisposition syndrome. Generally considered low-grade and slow growing, many children with NF1-OPGs remain asymptomatic. However, due to their location within the optic pathway, ~20-30% of those harboring NF1-OPGs will experience symptoms, including progressive vision loss, proptosis, diplopia, and precocious puberty. While treatment with conventional chemotherapy is largely effective at attenuating tumor growth, it is not clear whether there is much long-term recovery of visual function. Additionally, because these tumors predominantly affect young children, there are unique challenges to NF1-OPG diagnosis, monitoring, and longitudinal management. Over the past two decades, the employment of authenticated genetically engineered Nf1-OPG mouse models have provided key insights into the function of the NF1 protein, neurofibromin, as well as the molecular and cellular pathways that contribute to optic gliomagenesis. Findings from these studies have resulted in the identification of new molecular targets whose inhibition blocks murine Nf1-OPG growth in preclinical studies. Some of these promising compounds have now entered into early clinical trials. Future research focused on defining the determinants that underlie optic glioma initiation, expansion, and tumor-induced optic nerve injury will pave the way to personalized risk assessment strategies, improved tumor monitoring, and optimized treatment plans for children with NF1-OPG.
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Affiliation(s)
- Yunshuo Tang
- Department of Ophthalmology, Washington University School of Medicine, St. Louis, MO, USA
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - David H Gutmann
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
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9
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Jiang Z, Parida A, Anwar SM, Tang Y, Roth HR, Fisher MJ, Packer RJ, Avery RA, Linguraru MG. Automatic Visual Acuity Loss Prediction in Children with Optic Pathway Gliomas using Magnetic Resonance Imaging. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2023; 2023:1-5. [PMID: 38083430 PMCID: PMC11283911 DOI: 10.1109/embc40787.2023.10339961] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
Children with optic pathway gliomas (OPGs), a low-grade brain tumor associated with neurofibromatosis type 1 (NF1-OPG), are at risk for permanent vision loss. While OPG size has been associated with vision loss, it is unclear how changes in size, shape, and imaging features of OPGs are associated with the likelihood of vision loss. This paper presents a fully automatic framework for accurate prediction of visual acuity loss using multi-sequence magnetic resonance images (MRIs). Our proposed framework includes a transformer-based segmentation network using transfer learning, statistical analysis of radiomic features, and a machine learning method for predicting vision loss. Our segmentation network was evaluated on multi-sequence MRIs acquired from 75 pediatric subjects with NF1-OPG and obtained an average Dice similarity coefficient of 0.791. The ability to predict vision loss was evaluated on a subset of 25 subjects with ground truth using cross-validation and achieved an average accuracy of 0.8. Analyzing multiple MRI features appear to be good indicators of vision loss, potentially permitting early treatment decisions.Clinical relevance- Accurately determining which children with NF1-OPGs are at risk and hence require preventive treatment before vision loss remains challenging, towards this we present a fully automatic deep learning-based framework for vision outcome prediction, potentially permitting early treatment decisions.
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10
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van Elst S, de Bloeme CM, Noteboom S, de Jong MC, Moll AC, Göricke S, de Graaf P, Caan MWA. Automatic segmentation and quantification of the optic nerve on MRI using a 3D U-Net. J Med Imaging (Bellingham) 2023; 10:034501. [PMID: 37197374 PMCID: PMC10185127 DOI: 10.1117/1.jmi.10.3.034501] [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: 11/26/2022] [Revised: 03/15/2023] [Accepted: 04/19/2023] [Indexed: 05/19/2023] Open
Abstract
Purpose Pathological conditions associated with the optic nerve (ON) can cause structural changes in the nerve. Quantifying these changes could provide further understanding of disease mechanisms. We aim to develop a framework that automatically segments the ON separately from its surrounding cerebrospinal fluid (CSF) on magnetic resonance imaging (MRI) and quantifies the diameter and cross-sectional area along the entire length of the nerve. Approach Multicenter data were obtained from retinoblastoma referral centers, providing a heterogeneous dataset of 40 high-resolution 3D T2-weighted MRI scans with manual ground truth delineations of both ONs. A 3D U-Net was used for ON segmentation, and performance was assessed in a tenfold cross-validation (n = 32 ) and on a separate test-set (n = 8 ) by measuring spatial, volumetric, and distance agreement with manual ground truths. Segmentations were used to quantify diameter and cross-sectional area along the length of the ON, using centerline extraction of tubular 3D surface models. Absolute agreement between automated and manual measurements was assessed by the intraclass correlation coefficient (ICC). Results The segmentation network achieved high performance, with a mean Dice similarity coefficient score of 0.84, median Hausdorff distance of 0.64 mm, and ICC of 0.95 on the test-set. The quantification method obtained acceptable correspondence to manual reference measurements with mean ICC values of 0.76 for the diameter and 0.71 for the cross-sectional area. Compared with other methods, our method precisely identifies the ON from surrounding CSF and accurately estimates its diameter along the nerve's centerline. Conclusions Our automated framework provides an objective method for ON assessment in vivo.
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Affiliation(s)
- Sabien van Elst
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Radiology and Nuclear Medicine, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Christiaan M. de Bloeme
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Radiology and Nuclear Medicine, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Samantha Noteboom
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Anatomy and Neurosciences, Amsterdam, The Netherlands
| | - Marcus C. de Jong
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Radiology and Nuclear Medicine, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Annette C. Moll
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Ophthalmology, Amsterdam, The Netherlands
| | - Sophia Göricke
- University Hospital Essen, Institute of Diagnostic and Interventional Radiology and Neuroradiology, Essen, Germany
| | - Pim de Graaf
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Radiology and Nuclear Medicine, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Matthan W. A. Caan
- Amsterdam UMC location University of Amsterdam, Department of Biomedical Engineering and Physics, Amsterdam, The Netherlands
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11
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Hoffman LM, Jaimes C, Mankad K, Mirsky DM, Tamrazi B, Tinkle CL, Kline C, Ramasubramanian A, Malbari F, Mangum R, Lindsay H, Horne V, Daniels DJ, Keole S, Grosshans DR, Young Poussaint T, Packer R, Cavalheiro S, Bison B, Hankinson TC, Müller HL, Bartels U, Warren KE, Chintagumpala M. Response assessment in pediatric craniopharyngioma: recommendations from the Response Assessment in Pediatric Neuro-Oncology (RAPNO) Working Group. Neuro Oncol 2023; 25:224-233. [PMID: 36124689 PMCID: PMC9925711 DOI: 10.1093/neuonc/noac221] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Craniopharyngioma is a histologically benign tumor of the suprasellar region for which survival is excellent but quality of life is often poor secondary to functional deficits from tumor and treatment. Standard therapy consists of maximal safe resection with or without radiation therapy. Few prospective trials have been performed, and response assessment has not been standardized. METHODS The Response Assessment in Pediatric Neuro-Oncology (RAPNO) committee devised consensus guidelines to assess craniopharyngioma response prospectively. RESULTS Magnetic resonance imaging is the recommended radiologic modality for baseline and follow-up assessments. Radiologic response is defined by 2-dimensional measurements of both solid and cystic tumor components. In certain clinical contexts, response to solid and cystic disease may be differentially considered based on their unique natural histories and responses to treatment. Importantly, the committee incorporated functional endpoints related to neuro-endocrine and visual assessments into craniopharyngioma response definitions. In most circumstances, the cystic disease should be considered progressive only if growth is associated with acute, new-onset or progressive functional impairment. CONCLUSIONS Craniopharyngioma is a common pediatric central nervous system tumor for which standardized response parameters have not been defined. A RAPNO committee devised guidelines for craniopharyngioma assessment to uniformly define response in future prospective trials.
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Affiliation(s)
- Lindsey M Hoffman
- Center for Cancer and Blood Disorders, Phoenix Children’s Hospital, Phoenix, Arizona, USA
| | - Camilo Jaimes
- Department of Radiology, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Kshitij Mankad
- Department of Radiology, Great Ormond Street Hospital for Children, London, UK
| | - David M Mirsky
- Department of Radiology, Children’s Hospital Colorado, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Benita Tamrazi
- Department of Radiology, Children’s Hospital Los Angeles, Los Angeles, California, USA
| | - Christopher L Tinkle
- Department of Radiation Oncology, St. Jude Children’s Research Hospital, Memphis, Tennessee, USA
| | - Cassie Kline
- Division of Oncology, Department of Pediatrics, Children’s Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | | | - Fatema Malbari
- Division of Neurology and Developmental Neurosciences, Department of Pediatrics, Texas Children’s Hospital, Baylor College of Medicine, Houston, Texas, USA
| | - Ross Mangum
- Center for Cancer and Blood Disorders, Phoenix Children’s Hospital, Phoenix, Arizona, USA
| | - Holly Lindsay
- Division of Hematology-Oncology, Department of Pediatrics, Texas Children’s Hospital, Baylor College of Medicine, Houston, Texas, USA
| | - Vincent Horne
- Division of Pediatric Diabetes and Endocrinology, Department of Pediatrics, Texas Children’s Hospital, Baylor College of Medicine, Houston, Texas, USA
| | - David J Daniels
- Department of Neurosurgery, Mayo Clinic, Rochester, Minnesota, USA
| | - Sameer Keole
- Department of Radiation Oncology, Mayo Clinic, Phoenix, Arizona, USA
| | - David R Grosshans
- Department of Radiation Oncology, MD Anderson Cancer Center, Houston, Texas, USA
| | - Tina Young Poussaint
- Department of Radiology, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Roger Packer
- Center for Neuroscience and Behavioral Medicine, Brain Tumor Institute, Washington, District of Columbia, USA
| | - Sergio Cavalheiro
- Pediatric Oncology Institute, Federal University of São Paulo, São Paulo, Brazil
| | - Brigitte Bison
- Diagnostic and Interventional Neuroradiology, Faculty of Medicine, University Hospital Augsburg, Augsburg, Germany
| | - Todd C Hankinson
- Department of Neurosurgery, Children’s Hospital Colorado, University of Colorado School of Medicine, Aurora, CO, USA
| | - Hermann L Müller
- Department of Pediatrics and Pediatric Hematology/Oncology, University Children’s Hospital, Klinikum Oldenburg AöR, Carl von Ossietzky University Oldenburg, 26133 Oldenburg, Germany
| | - Ute Bartels
- Department of Pediatrics, Division of Haematology/Oncology, The Hospital for Sick Children, Toronto, Canada
| | - Katherine E Warren
- Division of Pediatric Neuro-Oncology, Dana Farber Cancer Institute, Boston, Massachusetts, USA
| | - Murali Chintagumpala
- Division of Hematology-Oncology, Department of Pediatrics, Texas Children’s Hospital, Baylor College of Medicine, Houston, Texas, USA
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12
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Walker DA, Aquilina K, Spoudeas H, Pilotto C, Gan HW, Meijer L. A new era for optic pathway glioma: A developmental brain tumor with life-long health consequences. Front Pediatr 2023; 11:1038937. [PMID: 37033188 PMCID: PMC10080591 DOI: 10.3389/fped.2023.1038937] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 02/13/2023] [Indexed: 04/11/2023] Open
Abstract
Optic pathway and hypothalamic glioma (OPHG) are low-grade brain tumors that arise from any part of the visual pathways frequently involving the hypothalamus. The tumors grow slowly and present with features driven by their precise anatomical site, their age at presentation and the stage of growth and development of the host neural and orbital bony tissues. Up to 50% of optic pathway glioma arise in association with Neurofibromatosis type 1 (NF1), which affects 1 in 3,000 births and is a cancer predisposition syndrome. As low-grade tumors, they almost never transform to malignant glioma yet they can threaten life when they present under two years of age. The main risks are to threaten vision loss by progressive tumor damage to optic pathways; furthermore, invasion of the hypothalamus can lead to diencephalic syndrome in infancy and hypopituitarism later in life. Progressive cognitive and behavioural dysfunction can occur, as part of NF1 syndromic features and in sporadic cases where large bulky tumors compress adjacent structures and disrupt neuro-hypothalamic pathways. Persistently progressive tumors require repeated treatments to attempt to control vision loss, other focal brain injury or endocrine dysfunction. In contrast tumors presenting later in childhood can be seen to spontaneously arrest in growth and subsequently progress after periods of stability. These patterns are influenced by NF status as well as stages of growth and development of host tissues. The past two decades has seen an expansion in our understanding and knowledge of the clinical and scientific features of these tumors, their modes of presentation, the need for careful visual and endocrine assessment. This influences the decision-making surrounding clinical management with surgery, radiotherapy, chemotherapy and most recently, the potential benefit of molecularly targeted drug therapy. This article, based upon the authors' clinical and research experience and the published literature will highlight advances in approach to diagnosis, the established role of vision loss as justification of treatments and the emerging evidence of endocrine and neurological consequences that need to be incorporated into judgements for case selection for therapy or observation. Consideration is given to the current state of biological evidence justifying current trials of new therapies, the genetic studies of the NF1 gene and the potential for new approaches to OPHG detection and treatment. The outstanding health system priorities from the perspective of children, their parents and health system commissioners or insurers are discussed.
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Affiliation(s)
- David A. Walker
- Emeritus Professor Paediatric Oncology, University of Nottingham, Nottingham, United Kingdom
- Correspondence: David A. Walker
| | - Kristian Aquilina
- Department of NeuroEndocrinology, Great Ormond Street Hospital, London, United Kingdom
| | - Helen Spoudeas
- Department of NeuroEndocrinology, Great Ormond Street Hospital, London, United Kingdom
| | - Chiara Pilotto
- Pediatric Clinic, ASUFC Santa Maria Della Misericordia, Udine, Italy
| | - Hoong-Wei Gan
- Department of NeuroEndocrinology, Great Ormond Street Hospital, London, United Kingdom
| | - Lisethe Meijer
- Kinderoncologie, Prinses Máxima Centrum Voor Kinderoncologie BV, Utrecht, Netherlands
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13
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Liu H, Chen Y, Qin X, Jin Z, Jiang Y, Wang Y. Epidemiology and Survival of Patients With Optic Pathway Gliomas: A Population-Based Analysis. Front Oncol 2022; 12:789856. [PMID: 35223473 PMCID: PMC8874351 DOI: 10.3389/fonc.2022.789856] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 01/24/2022] [Indexed: 11/20/2022] Open
Abstract
Background We aimed to analyze the epidemiology and outcomes of pediatric patients and adult patients with optic pathway gliomas in the United States using a population-based method. Methods Data for patients with optic pathway gliomas diagnosed between 2000 and 2018 were extracted from the SEER database. We divided the patients into a pediatric group and an adult group. Descriptive analyses were conducted to analyze demographic and clinical characteristics and treatment. We used the chi-square test to evaluate differences between pediatric and adult patients with optic pathway gliomas. The possible prognostic indicators were analyzed by Kaplan–Meier curves and Cox proportional hazards models. Results Optic pathway gliomas represented 86.6% of all lesions originating from the optic pathway. In total, 1257 cases of optic pathway gliomas were included in our study. Pediatric patients accounted for 83.7% in this cohort, and most of the patients were diagnosed at 1-4 years old. Chemotherapy was chosen most often for pediatric patients, but radiation therapy was chosen most often for adult patients. Pilocytic astrocytoma accounted for 59.1% of pediatric patients and 37.5% of adult patients. The overall survival (OS) rates were 94.8% 5 years after diagnosis and 93.0% 10 years after diagnosis. Survival analysis showed that surgery, radiation and chemotherapy did not help patients obtain a better prognosis. Overall, pediatric patients had a better prognosis. Conclusion Optic pathway gliomas are relatively rare lesions with good prognosis. They mostly affect children, and pilocytic astrocytoma is the most common histological diagnosis. Highly individualized treatment is essential for such patients.
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14
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Lazow MA, Nievelstein MT, Lane A, Bandopadhayhay P, DeWire-Schottmiller M, Fouladi M, Glod JW, Greiner RJ, Hoffman LM, Hummel TR, Kilburn L, Leary S, Minturn JE, Packer R, Ziegler DS, Chaney B, Black K, de Blank P, Leach JL. Volumetric endpoints in diffuse intrinsic pontine glioma: comparison to cross-sectional measures and outcome correlations in the International DIPG/DMG Registry. Neuro Oncol 2022; 24:1598-1608. [PMID: 35148393 PMCID: PMC9435485 DOI: 10.1093/neuonc/noac037] [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: 11/13/2022] Open
Abstract
BACKGROUND Cross-sectional tumor measures are traditional clinical trial endpoints; however volumetric measures may better assess tumor growth. We determined the correlation and compared the prognostic impact of cross-sectional and volumetric measures of progressive disease (PD) among patients with DIPG. METHODS Imaging and clinical data were abstracted from the International DIPG Registry. Tumor volume and cross-sectional product (CP) were measured with mint Lesion™ software using manual contouring. Correlation between CP and volume (segmented and mathematical [ellipsoid] model) thresholds of PD were assessed by linear regression. Landmark analyses determined differences in survival (via log-rank) between patients classified as PD versus non-PD by CP and volumetric measurements at 1, 3, 5, 7, and 9 months postradiotherapy (RT). Hazard ratios (HR) for survival after these time points were calculated by Cox regression. RESULTS A total of 312 MRIs (46 patients) were analyzed. Comparing change from the previous smallest measure, CP increase of 25% (PD) correlated with a segmented volume increase of 30% (R2 = 0.710), rather than 40% (spherical model extrapolation). CP-determined PD predicted survival at 1 month post-RT (HR = 2.77), but not other time points. Segmented volumetric-determined PD (40% threshold) predicted survival at all imaging timepoints (HRs = 2.57, 2.62, 3.35, 2.71, 16.29), and 30% volumetric PD threshold predicted survival at 1, 3, 5, and 9 month timepoints (HRs = 2.57, 2.62, 4.65, 5.54). Compared to ellipsoid volume, segmented volume demonstrated superior survival associations. CONCLUSIONS Segmented volumetric assessments of PD correlated better with survival than CP or ellipsoid volume at most time points. Semiautomated tumor volume likely represents a more accurate, prognostically-relevant measure of disease burden in DIPG.
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Affiliation(s)
| | | | - Adam Lane
- Brain Tumor Center, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, USA,Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | | | | | - Maryam Fouladi
- Pediatric Neuro-Oncology Program, Nationwide Children’s Hospital, Columbus, Ohio, USA,Department of Pediatrics, The Ohio State University College of Medicine, Columbus, Ohio, USA
| | - John W Glod
- Cancer for Cancer Research, National Cancer Institute, Bethesda, Maryland, USA
| | - Robert J Greiner
- Division of Oncology, Penn State Health Children’s Hospital, Hershey, Pennsylvania, USA
| | - Lindsey M Hoffman
- Division of Oncology, Phoenix Children’s Hospital, Phoenix, Arizona, USA
| | - Trent R Hummel
- Brain Tumor Center, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, USA,Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Lindsay Kilburn
- Division of Oncology, Children’s National Medical Center, Washington, DC, USA
| | - Sarah Leary
- Cancer and Blood Disorders Center, Seattle Children’s Hospital, Seattle, Washington, USA
| | - Jane E Minturn
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Roger Packer
- Division of Oncology, Children’s National Medical Center, Washington, DC, USA
| | - David S Ziegler
- Kids Cancer Centre, Sydney Children’s Hospital, Sydney, NSW, Australia,School of Women’s and Children’s Health, University of New South Wales, Sydney, NSW, Australia
| | - Brooklyn Chaney
- Brain Tumor Center, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, USA
| | - Katie Black
- Brain Tumor Center, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, USA
| | | | - James L Leach
- Corresponding Author: James L. Leach, MD, Department of Radiology, Cincinnati Children’s Hospital Medical Center, University of Cincinnati College of Medicine, 3333 Burnet Avenue Cincinnati, OH 45229, USA ()
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15
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Linguraru MG, Maier-Hein L, Summers RM, Kahn CE. RSNA-MICCAI Panel Discussion: 2. Leveraging the Full Potential of AI-Radiologists and Data Scientists Working Together. Radiol Artif Intell 2021; 3:e210248. [PMID: 34870225 DOI: 10.1148/ryai.2021210248] [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: 09/24/2021] [Revised: 10/13/2021] [Accepted: 10/13/2021] [Indexed: 11/11/2022]
Abstract
In March 2021, the Radiological Society of North America hosted a virtual panel discussion with members of the Medical Image Computing and Computer Assisted Intervention Society. Both organizations share a vision to develop radiologic and medical imaging techniques through advanced quantitative imaging biomarkers and artificial intelligence. The panel addressed how radiologists and data scientists can collaborate to advance the science of AI in radiology. Keywords: Adults and Pediatrics, Segmentation, Feature Detection, Quantification, Diagnosis/Classification, Prognosis/Classification © RSNA, 2021.
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Affiliation(s)
- Marius George Linguraru
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington, DC (M.G.L.); Department of Computer Assisted Medical Interventions, German Cancer Research Centre, Heidelberg, Germany (L.M.H.); Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (R.M.S.); and Department of Radiology, University of Pennsylvania, 3400 Spruce St, 1 Silverstein, Philadelphia, PA 19104 (C.E.K.)
| | - Lena Maier-Hein
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington, DC (M.G.L.); Department of Computer Assisted Medical Interventions, German Cancer Research Centre, Heidelberg, Germany (L.M.H.); Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (R.M.S.); and Department of Radiology, University of Pennsylvania, 3400 Spruce St, 1 Silverstein, Philadelphia, PA 19104 (C.E.K.)
| | - Ronald M Summers
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington, DC (M.G.L.); Department of Computer Assisted Medical Interventions, German Cancer Research Centre, Heidelberg, Germany (L.M.H.); Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (R.M.S.); and Department of Radiology, University of Pennsylvania, 3400 Spruce St, 1 Silverstein, Philadelphia, PA 19104 (C.E.K.)
| | - Charles E Kahn
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington, DC (M.G.L.); Department of Computer Assisted Medical Interventions, German Cancer Research Centre, Heidelberg, Germany (L.M.H.); Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (R.M.S.); and Department of Radiology, University of Pennsylvania, 3400 Spruce St, 1 Silverstein, Philadelphia, PA 19104 (C.E.K.)
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16
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Minakaran N, de Carvalho ER, Petzold A, Wong SH. Optical coherence tomography (OCT) in neuro-ophthalmology. Eye (Lond) 2021; 35:17-32. [PMID: 33239763 PMCID: PMC7852683 DOI: 10.1038/s41433-020-01288-x] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Revised: 10/30/2020] [Accepted: 11/04/2020] [Indexed: 01/01/2023] Open
Abstract
Optical coherence tomography (OCT) is a non-invasive medical imaging technology that is playing an increasing role in the routine assessment and management of patients with neuro-ophthalmic conditions. Its ability to characterise the optic nerve head, peripapillary retinal nerve fibre layer and cellular layers of the macula including the ganglion cell layer enables qualitative and quantitative assessment of optic nerve disease. In this review, we discuss technical features of OCT and OCT-based imaging techniques in the neuro-ophthalmic context, potential pitfalls to be aware of, and specific applications in more common neuro-ophthalmic conditions including demyelinating, inflammatory, ischaemic and compressive optic neuropathies, optic disc drusen and raised intracranial pressure. We also review emerging applications of OCT angiography within neuro-ophthalmology.
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Affiliation(s)
- Neda Minakaran
- Moorfields Eye Hospital NHS Foundation Trust, London, UK.
| | - Emanuel R de Carvalho
- Moorfields Eye Hospital NHS Foundation Trust, London, UK
- Department of Ophthalmology, University Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
| | - Axel Petzold
- Moorfields Eye Hospital NHS Foundation Trust, London, UK
- Neuro-ophthalmology Expertise Centre, University Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
- UCL Institute of Neurology, Queen Square, London, UK
| | - Sui H Wong
- Moorfields Eye Hospital NHS Foundation Trust, London, UK
- Guys and St Thomas' NHS Foundation Trust, London, UK
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17
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Visual function tests including the role of optical coherence tomography in neurofibromatosis 1. Childs Nerv Syst 2020; 36:2363-2375. [PMID: 32749524 DOI: 10.1007/s00381-020-04706-3] [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: 05/01/2020] [Accepted: 05/25/2020] [Indexed: 10/23/2022]
Abstract
Optic pathway glioma (OPG) is a common and significant complication of neurofibromatosis 1 (NF-1) that might lead to vision loss. The main reason to treat OPG is to preserve vision. Tumor location along the visual pathway largely dictates the presenting signs and symptoms. Clinical ophthalmic evaluation is focused on optic nerve functions including evaluation of pupils' reaction to light, visual acuity, color vision, and visual field, as well as optic nerve appearance. An important relatively new ancillary test is optic coherence tomography (OCT) that measures the volume of retinal nerve fiber layer around the optic nerve and the ganglion cell layer-inner plexiform layer (GCL-IPL) of the macula, both proved to be strongly associated with losing vision in OPG. Accurate evaluation of vision functions plays a critical role in the decision of treatment. In this review, we describe the ophthalmological assessment including new biomarkers in clinical use. We also outline prognostic factors and current recommendations for surveillance and indications for treatment.
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Fangusaro J, Witt O, Hernáiz Driever P, Bag AK, de Blank P, Kadom N, Kilburn L, Lober RM, Robison NJ, Fisher MJ, Packer RJ, Young Poussaint T, Papusha L, Avula S, Brandes AA, Bouffet E, Bowers D, Artemov A, Chintagumpala M, Zurakowski D, van den Bent M, Bison B, Yeom KW, Taal W, Warren KE. Response assessment in paediatric low-grade glioma: recommendations from the Response Assessment in Pediatric Neuro-Oncology (RAPNO) working group. Lancet Oncol 2020; 21:e305-e316. [PMID: 32502457 DOI: 10.1016/s1470-2045(20)30064-4] [Citation(s) in RCA: 105] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Revised: 01/16/2020] [Accepted: 01/23/2020] [Indexed: 12/23/2022]
Abstract
Paediatric low-grade gliomas (also known as pLGG) are the most common type of CNS tumours in children. In general, paediatric low-grade gliomas show clinical and biological features that are distinct from adult low-grade gliomas, and the developing paediatric brain is more susceptible to toxic late effects of the tumour and its treatment. Therefore, response assessment in children requires additional considerations compared with the adult Response Assessment in Neuro-Oncology criteria. There are no standardised response criteria in paediatric clinical trials, which makes it more difficult to compare responses across studies. The Response Assessment in Pediatric Neuro-Oncology working group, consisting of an international panel of paediatric and adult neuro-oncologists, clinicians, radiologists, radiation oncologists, and neurosurgeons, was established to address issues and unique challenges in assessing response in children with CNS tumours. We established a subcommittee to develop consensus recommendations for response assessment in paediatric low-grade gliomas. Final recommendations were based on literature review, current practice, and expert opinion of working group members. Consensus recommendations include imaging response assessments, with additional guidelines for visual functional outcomes in patients with optic pathway tumours. As with previous consensus recommendations, these recommendations will need to be validated in prospective clinical trials.
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Affiliation(s)
- Jason Fangusaro
- Department of Pediatric Hematology, Oncology and Stem Cell Transplantation, Aflac Cancer Center, Emory University and the Children's Healthcare of Atlanta, Atlanta, GA, USA.
| | - Olaf Witt
- Department CCU Pediatric Oncology, Hopp Children's Cancer Center (KiTZ), University Hospital and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Pablo Hernáiz Driever
- Department of Pediatric Oncology and Hematology, Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany
| | - Asim K Bag
- Department of Diagnostic Imaging, St Jude Children's Research Hospital, Memphis, TN, USA
| | - Peter de Blank
- Department of Pediatrics, University of Cincinnati and Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Nadja Kadom
- Pediatric Neuroradiology, Emory University and the Children's Healthcare of Atlanta, Atlanta, GA, USA
| | - Lindsay Kilburn
- Department of Hematology and Oncology, National Medical Center, Washington, DC, USA
| | - Robert M Lober
- Department of Neurosurgery, Dayton Children's Hospital and Wright State University Boonshoft School of Medicine, Dayton, OH, USA
| | - Nathan J Robison
- Division of Hematology and Oncology, Children's Hospital Los Angeles, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | - Michael J Fisher
- Division of Oncology, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Roger J Packer
- Center for Neuroscience and Behavioral Medicine, Children's National Hospital, Washington, DC, USA
| | - Tina Young Poussaint
- Department of Radiology, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
| | - Ludmila Papusha
- Department of Neuro-Oncology, Dmitry Rogachev National Medical Research Center of Pediatric Hematology, Oncology and Immunology, Moscow, Russia
| | - Shivaram Avula
- Department of Radiology, Alder Hey Children's NHS Foundation Trust, Liverpool, UK
| | - Alba A Brandes
- Medical Oncology Department, AUSL-IRCCS Scienze Neurologiche, Bologna, Italy
| | - Eric Bouffet
- Division of Hematology/Oncology, The Hospital for Sick Children, Toronto, ON, Canada
| | - Daniel Bowers
- Division of Pediatric Hematology and Oncology, University of Texas Southwestern, Dallas, TX, USA
| | - Anton Artemov
- Department of Neuro-Oncology, Dmitry Rogachev National Medical Research Center of Pediatric Hematology, Oncology and Immunology, Moscow, Russia
| | | | - David Zurakowski
- Department of Anesthesiology, Critical Care and Pain Medicine, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
| | | | - Brigitte Bison
- Diagnostic and Interventional Radiology, Universitatsklinikum Würzburg, Würzburg, Germany
| | - Kristen W Yeom
- Department of Radiology, Lucile Packard Children's Hospital, Stanford University, Palo Alto, CA, USA
| | - Walter Taal
- Department of Neurology/Neuro-Oncology, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - Katherine E Warren
- Department of Pediatric Oncology, Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Dana-Farber Cancer Institute, Boston, MA, USA
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OPTICAL COHERENCE TOMOGRAPHY AND OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY PARAMETERS IN PATIENTS WITH PHACOMATOSIS. Retina 2020; 41:366-372. [PMID: 32355124 DOI: 10.1097/iae.0000000000002840] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
PURPOSE To compare the retinal vasculature characteristics between eyes of patients with and without phacomatosis. METHODS Case-control observational study with retinal vasculature evaluation by optical coherence tomography and optical coherence tomography angiography of the macula and disk. RESULTS The study included 80 eyes. Neurofibromatosis Type 1 patients presented with a higher central macular thickness (P = 0.007), a lower optical disk nervous fiber layer (P = 0.006), a lower perimeter, area, and circularity of the foveal avascular zone (P < 0.05), a higher vascular density of macular avascular layer (AMVD) (P = 0.004), and a lower papillary vascular density of superficial capillary plexus (SPVD) (P = 0.048). Patients with tuberous sclerosis presented with an increase in central macular thickness (P = 0.024) and in vascular densities (P < 0.05) [except for macular vascular density of deep capillary plexus (PMVD), AMVD, and SPVD]. Patients with Sturge-Weber syndrome showed a decrease in optical disk nervous fiber layer (P < 0.001), subfoveal choroid thickness (P = 0.011), macular vascular density of superficial capillary plexus (SMVD) (P = 0.036), and SPVD (P < 0.001). CONCLUSION Phacomatosis patients showed statistically significant differences of retinal vasculature characteristics, compared to eyes without pathology. Further studies are needed to determine when and if these parameters change with the course of the disease and if they can be used as biomarkers for disease severity or progression.
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Optic Pathway Glioma in Type 1 Neurofibromatosis: Review of Its Pathogenesis, Diagnostic Assessment, and Treatment Recommendations. Cancers (Basel) 2019; 11:cancers11111790. [PMID: 31739524 PMCID: PMC6896195 DOI: 10.3390/cancers11111790] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Revised: 11/12/2019] [Accepted: 11/12/2019] [Indexed: 12/13/2022] Open
Abstract
Type 1 neurofibromatosis (NF1) is a dominantly inherited condition predisposing to tumor development. Optic pathway glioma (OPG) is the most frequent central nervous system tumor in children with NF1, affecting approximately 15-20% of patients. The lack of well-established prognostic markers and the wide clinical variability with respect to tumor progression and visual outcome make the clinical management of these tumors challenging, with significant differences among distinct centers. We reviewed published articles on OPG diagnostic protocol, follow-up and treatment in NF1. Cohorts of NF1 children with OPG reported in the literature and patients prospectively collected in our center were analyzed with regard to clinical data, tumor anatomical site, diagnostic workflow, treatment and outcome. In addition, we discussed the recent findings on the pathophysiology of OPG development in NF1. This review provides a comprehensive overview about the clinical management of NF1-associated OPG, focusing on the most recent advances from preclinical studies with genetically engineered models and the ongoing clinical trials.
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Abstract
PURPOSE OF REVIEW This article discusses an approach to imaging in patients with neuro-ophthalmologic disorders, with emphasis on the clinical-anatomic localization of lesions affecting afferent and efferent visual function. RECENT FINDINGS Advances in MRI, CT, ultrasound, and optical coherence tomography have changed how neuro-ophthalmic disorders are diagnosed and followed in the modern clinical era. SUMMARY The advantages, disadvantages, and indications for various imaging techniques for neuro-ophthalmologic disorders are discussed, with a view to optimizing how these tools can be used to enhance patient care.
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Zahavi A, Toledano H, Cohen R, Sella S, Luckman J, Michowiz S, Goldenberg-Cohen N. Use of Optical Coherence Tomography to Detect Retinal Nerve Fiber Loss in Children With Optic Pathway Glioma. Front Neurol 2018; 9:1102. [PMID: 30619059 PMCID: PMC6306407 DOI: 10.3389/fneur.2018.01102] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2018] [Accepted: 12/03/2018] [Indexed: 11/13/2022] Open
Abstract
Optic pathway glioma (OPG) presents in childhood and can cause significant morbidity and visual loss. Magnetic resonance imaging (MRI) is the current imaging modality of choice for evaluation of OPG progression, but it is a relatively limited resource often requiring sedation in the pediatric age group. Additionally, OPG progression on MRI does not always correlate with clinical progression. As a result, several other modalities for evaluating OPG are being investigated, including optical coherence tomography (OCT), a readily available imaging technique in ophthalmic practice. The purpose of the present study was to examine the association between retinal nerve fiber layer (RNFL) thickness measured using OCT and optic nerve function in children with OPG with and without neurofibromatosis-1 (NF-1). A retrospective chart review was conducted to identify children diagnosed with OPG from 2001 to 2015 at a tertiary pediatric medical center. The correlation between OCT measurements and clinical visual parameters was statistically analyzed. Included were 23 children with imaging-confirmed OPG and spectral domain OCT: 10 with NF-1 (mean age at diagnosis 5.8 years) and 13 without (mean age at diagnosis 5.9 years). The glioma involved the chiasma-hypothalamus in 19 patients, optic nerve in 11, and optic tract in 7; more than one anatomic site was affected in 15. Symptoms were reported in 2 patients with NF-1 and most patients without NF-1. Visual field defects included monocular, bitemporal, nasal, and homonymous hemianopia. Initial mean RNFL was 85.4 μm in the NF-1 group and 65 μm in the non-NF-1 group. Visual acuity deteriorated in 1/10 patients and 5/13 patients, respectively. Repeated OCT showed continued RNFL thinning in 3 patients (5 eyes) in the NF-1 group and in 8 patients (11 eyes) in the non-NF-1 group, often associated with a decrease in optic nerve function. In conclusion, visual function in children with OPG is correlated with repeated OCT measurements and weakly with neuroimaging. Children without NF-1 are usually symptomatic and have a worse clinical outcome. These findings may have important implications when considering initiating, continuing or stopping chemotherapy for OPG. The application of OCT in the assessment of OPG and the correlation of the findings to clinical progression can have a significant impact on OPG patient management.
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Affiliation(s)
- Alon Zahavi
- Department of Ophthalmology, Rabin Medical Center-Beilinson Hospital, Petah Tikva, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Helen Toledano
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Department of Pediatric Oncology, Schneider Children's Medical Center of Israel, Petah Tikva, Israel
| | - Rony Cohen
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Department of Pediatric Neurology and Epilepsy Center, Schneider Children's Medical Center of Israel, Petah Tikva, Israel
| | - Sara Sella
- Department of Ophthalmology, Rabin Medical Center-Beilinson Hospital, Petah Tikva, Israel
| | - Judith Luckman
- Radiology, Rabin Medical Center-Beilinson Hospital, Petah Tikva, Israel
| | - Shalom Michowiz
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Department of Neurosurgery, Schneider Children's Medical Center of Israel, Petah Tikva, Israel
| | - Nitza Goldenberg-Cohen
- Krieger Eye Research Laboratory, Felsenstein Medical Research Center, Petah Tikva, Israel.,Department of Ophthalmology, Bnai Zion Medical Center, Haifa, Israel.,Rappaport Faculty of Medicine, Technion, Israel Institute of Technology, Haifa, Israel
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Al-Haddad CE, Sebaaly MG, Tutunji RN, Mehanna CJ, Saaybi SR, Khamis AM, Hourani RG. Optic Nerve Measurement on MRI in the Pediatric Population: Normative Values and Correlations. AJNR Am J Neuroradiol 2018; 39:369-374. [PMID: 29217740 DOI: 10.3174/ajnr.a5456] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2017] [Accepted: 09/13/2017] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Few articles in the literature have looked at the diameter of the optic nerve on MR imaging, especially in children, in whom observations are subjective and no normative data exist. The aim of this study was to establish a data base for optic nerve diameter measurements on MR imaging in the pediatric population. MATERIALS AND METHODS This was a retrospective study on the MR imaging of pediatric subjects (younger than 18 years of age) at the Department of Diagnostic Radiology at the American University of Beirut Medical Center, Beirut, Lebanon. The optic nerve measurements were obtained by 3 raters on axial and coronal sections at 3 mm (retrobulbar) and 7 mm (intraorbital) posterior to the lamina cribrosa. RESULTS Of 211 scans of patients (422 optic nerves), 377 optic nerves were measured and included. Ninety-four patients were female (45%) and the median age at MR imaging was 8.6 years (interquartile range, 3.9-13.3 years). Optic nerves were divided into 5 age groups: 0-6 months (n = 18), 6 months-2 years (n = 44), 2-6 years (n = 86), 6-12 years (n = 120), and 12-18 years (n = 109). An increase in optic nerve diameter was observed with age, especially in the first 2 years of life. Measurements did not differ with eye laterality or sex. CONCLUSIONS We report normative values of optic nerve diameter measured on MR imaging in children from birth to 18 years of age. A rapid increase in optic nerve diameter was demonstrated during the first 2 years of life, followed by a slower increase. This was independent of sex or eye laterality.
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Affiliation(s)
- C E Al-Haddad
- From the Departments of Ophthalmology (C.E.A.-H., C.J.M.)
| | - M G Sebaaly
- Diagnostic Radiology (M.G.S., R.N.T., A.M.K., R.G.H.)
| | - R N Tutunji
- Diagnostic Radiology (M.G.S., R.N.T., A.M.K., R.G.H.)
| | - C J Mehanna
- From the Departments of Ophthalmology (C.E.A.-H., C.J.M.)
| | - S R Saaybi
- Pediatrics (S.R.S.), American University of Beirut Medical Center, Beirut, Lebanon
| | - A M Khamis
- Diagnostic Radiology (M.G.S., R.N.T., A.M.K., R.G.H.)
| | - R G Hourani
- Diagnostic Radiology (M.G.S., R.N.T., A.M.K., R.G.H.)
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Retinal Vascular and Neural Remodeling Secondary to Optic Nerve Axonal Degeneration: A Study Using OCT Angiography. Ophthalmol Retina 2018; 2:827-835. [PMID: 31047537 DOI: 10.1016/j.oret.2017.12.001] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2017] [Revised: 11/29/2017] [Accepted: 12/04/2017] [Indexed: 01/23/2023]
Abstract
PURPOSE To investigate the pathophysiologic interrelations between retinal neural and vascular changes, detected by spectral-domain OCT (SD-OCT) and OCT angiography (OCTA), resulting from optic nerve axonal degeneration. DESIGN Institutional, observational, case-control study with prospective enrollment. PARTICIPANTS Twenty-six patients affected by optic nerve axonal degeneration secondary to posterior optic pathway glioma (OPG) involving the chiasma, the postchiasmatic visual pathway, or both (but not involving optic nerves) and 24 gender- and age-matched healthy participants were included consecutively. METHODS Best-corrected visual acuity (Early Treatment Diabetic Retinopathy Study score) was measured and SD-OCT (Heidelberg Engineering, Heidelberg, Germany) and OCTA (Nidek RS-3000 Advance device; Nidek, Gamagori, Japan) were performed. MAIN OUTCOME MEASURES Peripapillary retinal nerve fiber layer (pRNFL), macular ganglion cell complex (GCC), and inner nuclear layer (INL) were analyzed using SD-OCT. The radial peripapillary capillary plexus, full-thickness peripapillary retina vascularization, and the macular superficial plexus (SCP) and deep capillary plexus (DCP) were analyzed using OCTA. RESULTS Peripapillary retinal nerve fiber layer and GCC thickness were reduced in eyes affected by OPG (P < 0.0001). Radial peripapillary capillary plexus perfusion also was reduced, as well as full-thickness peripapillary retina vascularization (P < 0.01 and P < 0.05, respectively). Macular DCP perfusion was reduced in eyes affected by OPG, whereas macular SCP perfusion did not differ between the 2 groups (P < 0.05 and P > 0.05, respectively). Global pRNFL thickness reduction correlated with the reduction of peripapillary perfusion (P < 0.01). Macular GCC thickness reduction did not correlate with SCP reduction (P > 0.05). The reduction of macular DCP perfusion did not correlate with inner nuclear layer thickness (P > 0.05). CONCLUSIONS Retinal neural remodeling secondary to optic nerve axonal degeneration resulting from OPG located at or posterior to the chiasm is accompanied by a secondary retinal vascular remodeling involving not only the peripapillary area, but also the macular area (DCP).
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Optic Pathway Gliomas in Neurofibromatosis Type 1: An Update: Surveillance, Treatment Indications, and Biomarkers of Vision. J Neuroophthalmol 2017; 37 Suppl 1:S23-S32. [PMID: 28806346 DOI: 10.1097/wno.0000000000000550] [Citation(s) in RCA: 84] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Optic pathway gliomas (OPGs) occur in 15%-20% of children with neurofibromatosis type 1 (NF1), leading to visual deficits in fewer than half of these individuals. The goal of chemotherapy is to preserve vision, but vision loss in NF1-associated OPG can be unpredictable. Determining which child would benefit from chemotherapy and, equally important, which child is better observed without treatment can be difficult. Unfortunately, despite frequent imaging and ophthalmologic evaluations, some children experience progressive vision loss before treatment. Indications for chemotherapy usually are based on a comprehensive, quantitative assessment of vision, but reliable vision evaluation can be challenging in young children with NF1-OPG. The ability to identify and predict impending vision loss could potentially improve management decisions and visual outcomes. To address this challenge, ophthalmologic, electrophysiologic, and imaging biomarkers of vision in NF1-OPG have been proposed. We review current recommendations for the surveillance of children at risk for NF1-OPG, outline guidelines for initiating therapy, and describe the utility of proposed biomarkers for vision.
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Abstract
Children with neurofibromatosis type 1 frequently manifest optic pathway gliomas-low-grade gliomas intrinsic to the visual pathway. This review describes the molecular and genetic mechanisms driving optic pathway gliomas as well as the clinical symptoms of this relatively common genetic condition. Recommendations for clinical management and descriptions of the newest imaging techniques are discussed.
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Affiliation(s)
| | - Robert A Avery
- Division of Ophthalmology, The Children's Hospital of Philadelphia, Philadelphia, PA; Department of Ophthalmology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA; Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
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Friedrich RE, Baumann J, Suling A, Scheuer HT, Scheuer HA. Sella turcica measurements on lateral cephalograms of patients with neurofibromatosis type 1. GMS INTERDISCIPLINARY PLASTIC AND RECONSTRUCTIVE SURGERY DGPW 2017; 6:Doc05. [PMID: 28401031 PMCID: PMC5366813 DOI: 10.3205/iprs000107] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/02/2022]
Abstract
The aim of this study was to measure line segments and areas of sella turcica on lateral cephalograms with respect to the clinical diagnosis of facial phenotype of patients with neurofibromatosis type 1 (NF1). Special attention was given to correlate the measured values with certain tumour types that are typical for this disease. Material and methods: Lateral cephalograms of 194 individuals were investigated. Patients with NF1 were further divided according to the detection and topography of facial plexiform neurofibromas (PNF) taking into account the distribution pattern of the trigeminal nerve. All patients with PNF showed unilateral tumour localisation. Patients without any facial PNF constituted a separate group. Healthy volunteers with ideal occlusion and no history of any intervention in the maxillofacial region served as a control group. The following items were determined on the radiographs: sella entrance, sella width, sella depths, sella diagonal, and sella area. Results: Patients with PNF of the first and second trigeminal nerve branch or affected in all branches showed highly statistically significant enlarged sella tucica measurement values. On the other hand, patients with PNF restricted to one branch only or simultaneously in the second and third branches showed measurement values that were not different to those obtained in NF1 patients devoid of facial PNF. The latter group also showed no difference of sella turcica parameters obtained in the control group. Conclusion: This study provides evidence for the association of a certain NF1 phenotype with distinct skeletal alterations of the skull base, shown here using the example of the representation of the sella turcica in the lateral radiograph. These findings are also relevant in the discussion of NF1 as a disease of bones and in the assessment of brain development in NF1. Both items are discussed in relationship to a facial plexiform neurofibroma. Furthermore, the knowledge of this association of findings provides the clinician with relevant information in the planning of skull base procedures in these patients.
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Affiliation(s)
- Reinhard E Friedrich
- Department of Oral and Craniomaxillofacial Surgery, Eppendorf University Hospital, University of Hamburg, Germany
| | - Johanna Baumann
- Department of Oral and Craniomaxillofacial Surgery, Eppendorf University Hospital, University of Hamburg, Germany
| | - Anna Suling
- Institute of Medical Biometry and Epidemiology, Eppendorf University Hospital, University of Hamburg, Germany
| | - Hannah T Scheuer
- Department of Oral and Craniomaxillofacial Surgery, Eppendorf University Hospital, University of Hamburg, Germany
| | - Hanna A Scheuer
- Department of Orthodontics, Eppendorf University Hospital, University of Hamburg, Germany
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Listernick R. Predicting which NF1 optic pathway gliomas will require treatment. Neurology 2016; 87:2389-2390. [DOI: 10.1212/wnl.0000000000003413] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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