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Tsukamoto T, Miki Y. Imaging of pituitary tumors: an update with the 5th WHO Classifications-part 1. Pituitary neuroendocrine tumor (PitNET)/pituitary adenoma. Jpn J Radiol 2023:10.1007/s11604-023-01400-7. [PMID: 36826759 PMCID: PMC10366012 DOI: 10.1007/s11604-023-01400-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Accepted: 02/04/2023] [Indexed: 02/25/2023]
Abstract
The pituitary gland is the body's master gland of the endocrine glands. Although it is a small organ, many types of tumors can develop within it. The recently revised fifth edition of the World Health Organization (WHO) classifications (2021 World Health Organization Classification of Central Nervous System Tumors and 2022 World Health Organization Classification of Endocrine and Neuroendocrine Tumors) revealed significant changes to the classification of pituitary adenomas, the most common type of pituitary gland tumor. This change categorized pituitary adenomas as neuroendocrine tumors and proposed the name to be revised to pituitary neuroendocrine tumor (PitNET). The International Classification of Diseases for Oncology behavior code for this tumor was previously "0" for benign tumor. In contrast, the fifth edition WHO classification has changed this code to "3" for primary malignant tumors as same to neuroendocrine tumor in other organs. Because the WHO classification made an important and significant change in the fundamental concept of the disease, in this paper, we will discuss the imaging diagnosis (magnetic resonance imaging, computed tomography, and positron emission tomography) of PitNET/pituitary adenoma in detail, considering these revisions as per the latest version of the WHO classification.
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Affiliation(s)
- Taro Tsukamoto
- Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka Metropolitan University, 1-4-3 Asahi-Machi, Abeno-Ku, Osaka, 545-8585, Japan
| | - Yukio Miki
- Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka Metropolitan University, 1-4-3 Asahi-Machi, Abeno-Ku, Osaka, 545-8585, Japan.
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2
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Iutaka T, de Freitas MB, Omar SS, Scortegagna FA, Nael K, Nunes RH, Pacheco FT, Maia Júnior ACM, do Amaral LLF, da Rocha AJ. Arterial Spin Labeling: Techniques, Clinical Applications, and Interpretation. Radiographics 2023; 43:e220088. [DOI: 10.1148/rg.220088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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3
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Pseudocontinuous Arterial Spin Labeling: Clinical Applications and Usefulness in Head and Neck Entities. Cancers (Basel) 2022; 14:cancers14163872. [PMID: 36010866 PMCID: PMC9405982 DOI: 10.3390/cancers14163872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 08/01/2022] [Accepted: 08/09/2022] [Indexed: 12/02/2022] Open
Abstract
Simple Summary Conventional imaging methods, such as ultrasonography, computed tomography, and magnetic resonance imaging may be inadequate to accurately diagnose lesions of the head and neck because they vary widely. Recently, the arterial spin labeling technique, especially pseudocontinuous arterial spin labeling (pCASL) with the three-dimensional (3D) readout method, has been dramatically developed to improve diagnostic performance for lesion differentiation, which can show prominent blood flow characteristics. Here, we demonstrate the clinical usefulness of 3D pCASL for diagnosing various entities, including inflammatory lesions, hypervascular lesions, and neoplasms in the head and neck, for evaluating squamous cell carcinoma (SCC) treatment responses, and for predicting SCC prognosis. Abstract As functional magnetic resonance imaging, arterial spin labeling (ASL) techniques have been developed to provide quantitative tissue blood flow measurements, which can improve the performance of lesion diagnosis. ASL does not require contrast agents, thus, it can be applied to a variety of patients regardless of renal impairments and contrast agent allergic reactions. The clinical implementation of head and neck lesions is limited, although, in recent years, ASL has been increasingly utilized in brain lesions. Here, we review the development of the ASL techniques, including pseudocontinuous ASL (pCASL). We compare readout methods between three-dimensional (3D) turbo spin-echo and 2D echo planar pCASL for the clinical applications of pCASL to head and neck lesions. We demonstrate the clinical usefulness of 3D pCASL for diagnosing various entities, including inflammatory lesions, hypervascular lesions, and neoplasms; for evaluating squamous cell carcinoma (SCC) treatment responses, and for predicting SCC prognosis.
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Lin EP, Chin BB, Fishbein L, Moritani T, Montoya SP, Ellika S, Newlands S. Head and Neck Paragangliomas: An Update on the Molecular Classification, State-of-the-Art Imaging, and Management Recommendations. Radiol Imaging Cancer 2022; 4:e210088. [PMID: 35549357 DOI: 10.1148/rycan.210088] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Paragangliomas are neuroendocrine tumors that derive from paraganglia of the autonomic nervous system, with the majority of parasympathetic paragangliomas arising in the head and neck. More than one-third of all paragangliomas are hereditary, reflecting the strong genetic predisposition of these tumors. The molecular basis of paragangliomas has been investigated extensively in the past couple of decades, leading to the discovery of several molecular clusters and more than 20 well-characterized driver genes (somatic and hereditary), which are more than are known for any other endocrine tumor. Head and neck paragangliomas are largely related to the pseudohypoxia cluster and have been previously excluded from most molecular profiling studies. This review article introduces the molecular classification of paragangliomas, with a focus on head and neck paragangliomas, and discusses its impact on the management of these tumors. Genetic testing is now recommended for all patients with paragangliomas to provide screening and surveillance recommendations for patients and relatives. While CT and MRI provide excellent anatomic characterization of paragangliomas, gallium 68 tetraazacyclododecane tetraacetic acid-octreotate (ie, 68Ga-DOTATATE) has superior sensitivity and is recommended as first-line imaging in patients with head and neck paragangliomas with concern for multifocal and metastatic disease, patients with known multifocal and metastatic disease, and in candidates for targeted peptide-receptor therapy. Keywords: Molecular Imaging, MR Perfusion, MR Spectroscopy, Neuro-Oncology, PET/CT, SPECT/CT, Head/Neck, Genetic Defects © RSNA, 2022.
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Affiliation(s)
- Edward P Lin
- From the Departments of Imaging Sciences (E.P.L., S.E.) and Otolaryngology (S.N.), University of Rochester Medical Center, 601 Elmwood Ave, Box 648, Rochester, NY 14642; Departments of Radiology (B.B.C.) and Medicine (L.F.), University of Colorado School of Medicine, Denver, Colo; Department of Radiology, University of Michigan, Ann Arbor, Mich (T.M.); Eastern Radiologists, East Carolina University, Vidant Medical Center, Greenville, NC (S.P.M.); and Department of Radiology, Massachusetts General Hospital, Boston, Mass (S.P.M.)
| | - Bennett B Chin
- From the Departments of Imaging Sciences (E.P.L., S.E.) and Otolaryngology (S.N.), University of Rochester Medical Center, 601 Elmwood Ave, Box 648, Rochester, NY 14642; Departments of Radiology (B.B.C.) and Medicine (L.F.), University of Colorado School of Medicine, Denver, Colo; Department of Radiology, University of Michigan, Ann Arbor, Mich (T.M.); Eastern Radiologists, East Carolina University, Vidant Medical Center, Greenville, NC (S.P.M.); and Department of Radiology, Massachusetts General Hospital, Boston, Mass (S.P.M.)
| | - Lauren Fishbein
- From the Departments of Imaging Sciences (E.P.L., S.E.) and Otolaryngology (S.N.), University of Rochester Medical Center, 601 Elmwood Ave, Box 648, Rochester, NY 14642; Departments of Radiology (B.B.C.) and Medicine (L.F.), University of Colorado School of Medicine, Denver, Colo; Department of Radiology, University of Michigan, Ann Arbor, Mich (T.M.); Eastern Radiologists, East Carolina University, Vidant Medical Center, Greenville, NC (S.P.M.); and Department of Radiology, Massachusetts General Hospital, Boston, Mass (S.P.M.)
| | - Toshio Moritani
- From the Departments of Imaging Sciences (E.P.L., S.E.) and Otolaryngology (S.N.), University of Rochester Medical Center, 601 Elmwood Ave, Box 648, Rochester, NY 14642; Departments of Radiology (B.B.C.) and Medicine (L.F.), University of Colorado School of Medicine, Denver, Colo; Department of Radiology, University of Michigan, Ann Arbor, Mich (T.M.); Eastern Radiologists, East Carolina University, Vidant Medical Center, Greenville, NC (S.P.M.); and Department of Radiology, Massachusetts General Hospital, Boston, Mass (S.P.M.)
| | - Simone P Montoya
- From the Departments of Imaging Sciences (E.P.L., S.E.) and Otolaryngology (S.N.), University of Rochester Medical Center, 601 Elmwood Ave, Box 648, Rochester, NY 14642; Departments of Radiology (B.B.C.) and Medicine (L.F.), University of Colorado School of Medicine, Denver, Colo; Department of Radiology, University of Michigan, Ann Arbor, Mich (T.M.); Eastern Radiologists, East Carolina University, Vidant Medical Center, Greenville, NC (S.P.M.); and Department of Radiology, Massachusetts General Hospital, Boston, Mass (S.P.M.)
| | - Shehanaz Ellika
- From the Departments of Imaging Sciences (E.P.L., S.E.) and Otolaryngology (S.N.), University of Rochester Medical Center, 601 Elmwood Ave, Box 648, Rochester, NY 14642; Departments of Radiology (B.B.C.) and Medicine (L.F.), University of Colorado School of Medicine, Denver, Colo; Department of Radiology, University of Michigan, Ann Arbor, Mich (T.M.); Eastern Radiologists, East Carolina University, Vidant Medical Center, Greenville, NC (S.P.M.); and Department of Radiology, Massachusetts General Hospital, Boston, Mass (S.P.M.)
| | - Shawn Newlands
- From the Departments of Imaging Sciences (E.P.L., S.E.) and Otolaryngology (S.N.), University of Rochester Medical Center, 601 Elmwood Ave, Box 648, Rochester, NY 14642; Departments of Radiology (B.B.C.) and Medicine (L.F.), University of Colorado School of Medicine, Denver, Colo; Department of Radiology, University of Michigan, Ann Arbor, Mich (T.M.); Eastern Radiologists, East Carolina University, Vidant Medical Center, Greenville, NC (S.P.M.); and Department of Radiology, Massachusetts General Hospital, Boston, Mass (S.P.M.)
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Wang DJJ, Le Bihan D, Krishnamurthy R, Smith M, Ho ML. Noncontrast Pediatric Brain Perfusion: Arterial Spin Labeling and Intravoxel Incoherent Motion. Magn Reson Imaging Clin N Am 2021; 29:493-513. [PMID: 34717841 DOI: 10.1016/j.mric.2021.06.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Noncontrast magnetic resonance imaging techniques for measuring brain perfusion include arterial spin labeling (ASL) and intravoxel incoherent motion (IVIM). These techniques provide noninvasive and repeatable assessment of cerebral blood flow or cerebral blood volume without the need for intravenous contrast. This article discusses the technical aspects of ASL and IVIM with a focus on normal physiologic variations, technical parameters, and artifacts. Multiple pediatric clinical applications are presented, including tumors, stroke, vasculopathy, vascular malformations, epilepsy, migraine, trauma, and inflammation.
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Affiliation(s)
- Danny J J Wang
- USC Institute for Neuroimaging and Informatics, SHN, 2025 Zonal Avenue, Health Sciences Campus, Los Angeles, CA 90033, USA
| | - Denis Le Bihan
- NeuroSpin, Centre d'études de Saclay, Bâtiment 145, Gif-sur-Yvette 91191, France
| | - Ram Krishnamurthy
- Department of Radiology, Nationwide Children's Hospital, 700 Children's Drive - ED4, Columbus, OH 43205, USA
| | - Mark Smith
- Department of Radiology, Nationwide Children's Hospital, 700 Children's Drive - ED4, Columbus, OH 43205, USA
| | - Mai-Lan Ho
- Department of Radiology, Nationwide Children's Hospital, 700 Children's Drive - ED4, Columbus, OH 43205, USA.
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New and Advanced Magnetic Resonance Imaging Diagnostic Imaging Techniques in the Evaluation of Cranial Nerves and the Skull Base. Neuroimaging Clin N Am 2021; 31:665-684. [PMID: 34689938 DOI: 10.1016/j.nic.2021.06.006] [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: 11/20/2022]
Abstract
The skull base and cranial nerves are technically challenging to evaluate using magnetic resonance (MR) imaging, owing to a combination of anatomic complexity and artifacts. However, improvements in hardware, software and sequence development seek to address these challenges. This section will discuss cranial nerve imaging, with particular attention to the techniques, applications and limitations of MR neurography, diffusion tensor imaging and tractography. Advanced MR imaging techniques for skull base pathology will also be discussed, including diffusion-weighted imaging, perfusion and permeability imaging, with a particular focus on practical applications.
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7
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Martín-Noguerol T, Kirsch CFE, Montesinos P, Luna A. Arterial spin labeling for head and neck lesion assessment: technical adjustments and clinical applications. Neuroradiology 2021; 63:1969-1983. [PMID: 34427708 DOI: 10.1007/s00234-021-02772-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Accepted: 07/12/2021] [Indexed: 12/21/2022]
Abstract
PURPOSE Despite, currently, "state-of-the-art" magnetic resonance imaging (MRI) protocols for head and neck (H&N) lesion assessment incorporate perfusion sequences, these acquisitions require the intravenous injection of exogenous gadolinium-based contrast agents (GBCAs), which may have potential risks. Alternative techniques such as arterial spin labeling (ASL) can provide quantitative microvascular information similar to conventional perfusion sequences for H&N lesions evaluation, as a potential alternative without GBCA administration. METHODS We review the existing literature and analyze the latest evidence regarding ASL in H&N area highlighting the technical adjustments needed for a proper ASL acquisition in this challenging region for lesion characterization, treatment monitoring, and tumor recurrence detection. RESULTS ASL techniques, widely used for central nervous system lesions evaluation, can be also applied to the H&N region. Technical adjustments, especially regarding post-labeling delay, are mandatory to obtain robust and reproducible results. Several studies have demonstrated the feasibility of ASL in the H&N area including the orbits, skull base, paranasal sinuses, upper airway, salivary glands, and thyroid. CONCLUSION ASL is a feasible technique for the assessment of H&N lesions without the need of GBCAs. This manuscript reviews ASL's physical basis, emphasizing the technical adjustments necessary for proper ASL acquisition in this unique and challenging anatomical region, and the main applications in evaluating H&N lesions.
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Affiliation(s)
| | - Claudia F E Kirsch
- Department of Radiology, Northwell Health, Zucker Hofstra School of Medicine At Northwell, North Shore University Hospital, 300 Community Drive, Manhasset, NY, 11030, USA
| | - Paula Montesinos
- Philips Iberia, Calle de María de Portugal, 1, 28050, Madrid, Spain
| | - Antonio Luna
- MRI Unit, Radiology Department, HT Medica, Carmelo Torres 2, 23007, Jaén, Spain
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8
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Bohara M, Nakajo M, Kamimura K, Yoneyama T, Ayukawa T, Yoshiura T. Visualization of incidentally imaged pituitary gland on three-dimensional arterial spin labeling of the brain. Br J Radiol 2021; 94:20201311. [PMID: 33914621 DOI: 10.1259/bjr.20201311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVE To evaluate the visualization of incidentally imaged normal pituitary gland on three-dimensional (3D) pseudo continuous arterial spin labeling (PCASL) perfusion imaging of the brain. METHODS Ninety-three patients with a normal pituitary gland who underwent 3D PCASL for suspected brain diseases were retrospectively included. Visualization of the pituitary gland on PCASL cerebral blood flow (CBF) maps was assessed independently by two observers using a three-point grading system: Grade 1, pituitary CBF ≤ CBF of the cerebral white matter (WM); Grade 2, CBF of WM < pituitary CBF ≤ CBF of the cortical gray matter (GM); and Grade 3, CBF of GM < pituitary CBF. The interobserver agreement of visual grading was determined using weighted κ statistic. The associations of visual grades with age, sex, and pituitary volume were assessed using multivariate logistic regression. Pituitary glands were divided equally into three groups (small, medium, and large) according to their volume for categorization. RESULTS The interobserver agreement for visual rating was excellent (weighted κ = 0.823). Of the 93 cases, Grades 1, 2, and 3 included 17 (18.3%), 41 (44.1%), and 35 cases (37.6%), respectively. Medium and large pituitary volume were significantly associated with Grade 3 visualization (p = 0.0153, OR = 4.8323; 95% CI: 1.3525, 17.2649 and p = 0.0009; OR = 9.0299; 95% CI: 2.4663, 33.0614, respectively), whereas there was no significant association for age or sex. CONCLUSION The normal pituitary gland is often visualized with higher CBF than cortical GM on 3D PCASL, especially in individuals with larger pituitary volume. ADVANCES IN KNOWLEDGE Appearance of the normal pituitary gland on 3D PCASL has been documented for the first time.
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Affiliation(s)
- Manisha Bohara
- Department of Radiology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Masanori Nakajo
- Department of Radiology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Kiyohisa Kamimura
- Department of Radiology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Tomohide Yoneyama
- Department of Radiology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Takuro Ayukawa
- Department of Radiology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Takashi Yoshiura
- Department of Radiology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
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Abstract
Magnetic resonance (MR) imaging is a crucial tool for evaluation of the skull base, enabling characterization of complex anatomy by utilizing multiple image contrasts. Recent technical MR advances have greatly enhanced radiologists' capability to diagnose skull base pathology and help direct management. In this paper, we will summarize cutting-edge clinical and emerging research MR techniques for the skull base, including high-resolution, phase-contrast, diffusion, perfusion, vascular, zero echo-time, elastography, spectroscopy, chemical exchange saturation transfer, PET/MR, ultra-high-field, and 3D visualization. For each imaging technique, we provide a high-level summary of underlying technical principles accompanied by relevant literature review and clinical imaging examples.
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Affiliation(s)
- Claudia F Kirsch
- Division Chief, Neuroradiology, Professor of Neuroradiology and Otolaryngology, Department of Radiology, Northwell Health, Zucker Hofstra School of Medicine at Northwell, North Shore University Hospital, Manhasset, NY
| | - Mai-Lan Ho
- Associate Professor of Radiology, Director of Research, Department of Radiology, Director, Advanced Neuroimaging Core, Chair, Asian Pacific American Network, Secretary, Association for Staff and Faculty Women, Nationwide Children's Hospital and The Ohio State University, Columbus, OH; Division Chief, Neuroradiology, Professor of Neuroradiology and Otolaryngology, Department of Radiology, Northwell Health, Zucker Hofstra School of Medicine at Northwell, North Shore University Hospital, Manhasset, NY.
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10
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Bambach S, Smith M, Morris PP, Campeau NG, Ho ML. Arterial Spin Labeling Applications in Pediatric and Adult Neurologic Disorders. J Magn Reson Imaging 2020; 55:698-719. [PMID: 33314349 DOI: 10.1002/jmri.27438] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Revised: 10/26/2020] [Accepted: 10/27/2020] [Indexed: 12/17/2022] Open
Abstract
Arterial spin labeling (ASL) is a powerful noncontrast magnetic resonance imaging (MRI) technique that enables quantitative evaluation of brain perfusion. To optimize the clinical and research utilization of ASL, radiologists and physicists must understand the technical considerations and age-related variations in normal and disease states. We discuss advanced applications of ASL across the lifespan, with example cases from children and adults covering a wide variety of pathologies. Through literature review and illustrated clinical cases, we highlight the subtleties as well as pitfalls of ASL interpretation. First, we review basic physical principles, techniques, and artifacts. This is followed by a discussion of normal perfusion variants based on age and physiology. The three major categories of perfusion abnormalities-hypoperfusion, hyperperfusion, and mixed patterns-are covered with an emphasis on clinical interpretation and relationship to the disease process. Major etiologies of hypoperfusion include large artery, small artery, and venous disease; other vascular conditions; global hypoxic-ischemic injury; and neurodegeneration. Hyperperfusion is characteristic of vascular malformations and tumors. Mixed perfusion patterns can be seen with epilepsy, migraine, trauma, infection/inflammation, and toxic-metabolic encephalopathy. LEVEL OF EVIDENCE: 4 TECHNICAL EFFICACY STAGE: 3.
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Affiliation(s)
- Sven Bambach
- Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, Ohio, USA
| | - Mark Smith
- Department of Radiology, Nationwide Children's Hospital, Columbus, Ohio, USA
| | - P Pearse Morris
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Mai-Lan Ho
- Department of Radiology, Nationwide Children's Hospital, Columbus, Ohio, USA
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11
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Eissa L, Abdel Razek AAK, Helmy E. Arterial spin labeling and diffusion-weighted MR imaging: Utility in differentiating idiopathic orbital inflammatory pseudotumor from orbital lymphoma. Clin Imaging 2020; 71:63-68. [PMID: 33171369 DOI: 10.1016/j.clinimag.2020.10.057] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Revised: 09/26/2020] [Accepted: 10/26/2020] [Indexed: 12/19/2022]
Abstract
PURPOSE To assess arterial spin-labeling (ASL) and diffusion-weighted imaging (DWI) and in combination for differentiating between idiopathic orbital inflammatory pseudotumor (IOIP) and orbital lymphoma. MATERIAL AND METHODS A retrospective study was done on 37 untreated patients with orbital masses, suspected to be IOIP or orbital lymphoma that underwent ASL and DWI of the orbit. Quantitative measurement of tumor blood flow (TBF) and apparent diffusion coefficient (ADC) of the orbital lesion was done. RESULTS There was a significant difference (P = 0.001) in TBF between patients with IOIP (n = 21) (38.1 ± 6.2, 40.3 ± 7.1 ml/100 g/min) and orbital lymphoma (n = 16) (55.5 ± 7.1, 56.8 ± 7.9 ml/100 g/min) for both observers respectively. Thresholds of TBF used for differentiating IOIP from orbital lymphoma were 48, 46 ml/100 g/min revealed area under the curve (AUC) of (0.958 and 0.921), and accuracy of (86% and 83%) for both observers respectively. There was a significant difference (P = 0.001) in ADC between patients with IOIP (1.04 ± 0.19, 1.12 ± 0.23 × 10-3 mm2/s) and orbital lymphoma (0.69 ± 0.10, 0.72 ± 0.11 × 10-3 mm2/s) for both observers respectively. Thresholds of ADC used for differentiating IOIP from orbital lymphoma were 0.84 and 0.86 × 10-3 mm2/s with AUC of (0.933 and 0.920), and accuracy of 89% and 90% for both observers respectively. The combined TBF and ADC used for differentiating IOIP from orbital lymphoma had AUC of (0.973 and 0.970) and accuracy of (91% and 89%) for both observers respectively. CONCLUSION TBF and ADC alone and in combination are useful for differentiating IOIP from orbital lymphoma.
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Affiliation(s)
- Lamya Eissa
- Department of Radiodiagnosis, Alexandria Faculty of Medicine, Alexandria, Egypt; Department of Diagnostic Radiology, Mansoura Faculty of Medicine, Mansoura, Egypt
| | - Ahmed Abdel Khalek Abdel Razek
- Department of Radiodiagnosis, Alexandria Faculty of Medicine, Alexandria, Egypt; Department of Diagnostic Radiology, Mansoura Faculty of Medicine, Mansoura, Egypt.
| | - Eman Helmy
- Department of Radiodiagnosis, Alexandria Faculty of Medicine, Alexandria, Egypt; Department of Diagnostic Radiology, Mansoura Faculty of Medicine, Mansoura, Egypt
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12
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Neromyliotis E, Kalamatianos T, Paschalis A, Komaitis S, Fountas KN, Kapsalaki EZ, Stranjalis G, Tsougos I. Machine Learning in Meningioma MRI: Past to Present. A Narrative Review. J Magn Reson Imaging 2020; 55:48-60. [PMID: 33006425 DOI: 10.1002/jmri.27378] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 09/10/2020] [Accepted: 09/10/2020] [Indexed: 12/28/2022] Open
Abstract
Meningioma is one of the most frequent primary central nervous system tumors. While magnetic resonance imaging (MRI), is the standard radiologic technique for provisional diagnosis and surveillance of meningioma, it nevertheless lacks the prima facie capacity in determining meningioma biological aggressiveness, growth, and recurrence potential. An increasing body of evidence highlights the potential of machine learning and radiomics in improving the consistency and productivity and in providing novel diagnostic, treatment, and prognostic modalities in neuroncology imaging. The aim of the present article is to review the evolution and progress of approaches utilizing machine learning in meningioma MRI-based sementation, diagnosis, grading, and prognosis. We provide a historical perspective on original research on meningioma spanning over two decades and highlight recent studies indicating the feasibility of pertinent approaches, including deep learning in addressing several clinically challenging aspects. We indicate the limitations of previous research designs and resources and propose future directions by highlighting areas of research that remain largely unexplored. LEVEL OF EVIDENCE: 5 TECHNICAL EFFICACY STAGE: 2.
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Affiliation(s)
- Eleftherios Neromyliotis
- Departent of Neurosurgery, University of Athens Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Theodosis Kalamatianos
- Departent of Neurosurgery, University of Athens Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Athanasios Paschalis
- Department of Neurosurgery, School of Medicine, University of Thessaly, Larisa, Greece
| | - Spyridon Komaitis
- Departent of Neurosurgery, University of Athens Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Konstantinos N Fountas
- Department of Clinical and Laboratory Research, School of Medicine, University of Thessaly, Larisa, Greece
| | - Eftychia Z Kapsalaki
- Department of Clinical and Laboratory Research, School of Medicine, University of Thessaly, Larisa, Greece
| | - George Stranjalis
- Departent of Neurosurgery, University of Athens Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Ioannis Tsougos
- Department of Medical Physics, School of Medicine, University of Thessaly, Larisa, Greece
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13
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Parikh D, Afshari FT, Sherlala K, Ahmed S, Shad A. Utility of Arterial Spin Labeling Magnetic Resonance Imaging in Differentiating Sellar Region Meningiomas from Pituitary Adenomas. World Neurosurg 2020; 142:e407-e412. [PMID: 32673801 DOI: 10.1016/j.wneu.2020.07.039] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 07/05/2020] [Accepted: 07/07/2020] [Indexed: 11/19/2022]
Abstract
BACKGROUND Differentiating sellar region meningiomas from pituitary adenomas on standard magnetic resonance imaging (MRI) sequences can be difficult. Arterial spin labeling (ASL) is a noninvasive technique of magnetic resonance perfusion imaging. The range of applications of ASL in neurosurgery has increased, and the information provided can be unique and complementary to other MRI sequences. Here we investigate the utility of ASL MRI in differentiating between sellar region meningiomas and pituitary adenomas. METHODS This was a retrospective comparison of quantitative assessments on absolute and normalized tumor blood flow in histologically proven meningiomas versus pituitary adenomas. RESULTS A total of 15 patients with sellar region lesions were identified, including 9 meningiomas and 6 pituitary adenomas. Mean absolute tumor blood flow and normalized tumor blood flow were significantly higher in meningiomas (131 mL/100 g/min and 2.22) than adenomas (47 mL/100 g/min and 0.92; P < 0.05). CONCLUSIONS ASL MRI is a useful adjunct sequence in differentiating sellar region meningiomas, which exhibit high perfusion, from pituitary adenomas, which exhibit relatively low perfusion.
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Affiliation(s)
- Dhruv Parikh
- Department of Neurosurgery, University Hospital of Coventry and Warwickshire, Coventry, United Kingdom
| | - Fardad T Afshari
- Department of Neurosurgery, University Hospital of Coventry and Warwickshire, Coventry, United Kingdom.
| | - Khaled Sherlala
- Department of Radiology, University Hospital of Coventry and Warwickshire, Coventry, United Kingdom
| | - Shahzada Ahmed
- Department of Ear, Nose, and Throat, University Hospital Birmingham, Birmingham, United Kingdom
| | - Amjad Shad
- Department of Neurosurgery, University Hospital of Coventry and Warwickshire, Coventry, United Kingdom
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14
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Abstract
Head and neck MR imaging is technically challenging because of magnetic field inhomogeneity, respiratory and swallowing motion, and necessity of high-resolution imaging to trace key anatomic structures. These challenges have been answered by advances in MR imaging technology, including isovolumetric three-dimensional imaging, robust fat-water separation techniques, and novel deep learning-based reconstruction algorithms. New applications of MR imaging have been advanced and functional imaging has been improved. Improvements in acquisition and reconstruction technique facilitate novel applications of morphologic and functional imaging. This results in opportunities to improve diagnosis, staging, and treatment selection through application of advanced MR imaging techniques.
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Razek AAKA. Multi-parametric MR imaging using pseudo-continuous arterial-spin labeling and diffusion-weighted MR imaging in differentiating subtypes of parotid tumors. Magn Reson Imaging 2019; 63:55-59. [DOI: 10.1016/j.mri.2019.08.005] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2019] [Revised: 08/05/2019] [Accepted: 08/15/2019] [Indexed: 12/26/2022]
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