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You H, He L, Ouyang Z, Yang Y, Xie S, Zhou J, Zhang Y, Shi J. Case report: intracranial lesions in a patient with anxiety and depression: tumor recurrence or radiation encephalopathy? Front Oncol 2024; 14:1422765. [PMID: 39211558 PMCID: PMC11358061 DOI: 10.3389/fonc.2024.1422765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Accepted: 07/30/2024] [Indexed: 09/04/2024] Open
Abstract
Purpose Radiation encephalopathy (REP) is one of the most common complications of radiotherapy for malignant tumors of the head and neck. Symptoms usually appear months to years following radiotherapy, with headache, insomnia, and memory loss as the main clinical features. We report a patient who was admitted to the hospital with anxiety and depressive disorder and was eventually diagnosed with REP. Patients and methods A 48-year-old patient who had undergone over 2 years of radiotherapy for nasopharyngeal carcinoma was admitted to the Department of Psychosomatic Medicine of our hospital because of recurrent fear, low mood, and waking up from dreams. Magnetic resonance imaging (MRI) revealed a mass in the left temporal lobe with a large peripheral edema. After multidisciplinary consultation, the possibility of tumor recurrence could not be excluded. Results Resection of the lesioned brain tissue to obtain pathological tissue showed glial cell proliferation and small focal areas of degeneration and necrosis, which indicated that the lesions were inflammatory. Postoperative MRI showed no abnormal signal, and the patient's condition improved. Conclusion Nasopharyngeal carcinoma patients with a history of radiotherapy and symptoms of increased intracranial pressure and neurological damage should be examined for REP. Furthermore, patients may experience anxiety and depressive disorders as a result of temporal lobe damage caused by REP.
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Affiliation(s)
- Haiping You
- Department of Psychosomatic Medicine, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, China
- Department of Clinical Medicine, Chengdu Medical College, Chengdu, China
| | - Lin He
- Department of Psychosomatic Medicine, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, China
| | - Zhibo Ouyang
- Department of Psychosomatic Medicine, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, China
| | - Yao Yang
- Department of Psychosomatic Medicine, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, China
| | - Shu Xie
- Department of Psychosomatic Medicine, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, China
| | - Jiwei Zhou
- Department of Psychosomatic Medicine, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, China
| | - Yun Zhang
- Department of Psychosomatic Medicine, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, China
| | - Jian Shi
- Department of Psychosomatic Medicine, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, China
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Ritter A, Levyn H, Shah J. Recent advances in head and neck surgical oncology. J Surg Oncol 2024; 129:32-39. [PMID: 37990842 PMCID: PMC10842243 DOI: 10.1002/jso.27529] [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: 10/30/2023] [Accepted: 10/31/2023] [Indexed: 11/23/2023]
Abstract
In recent years, the field of head and neck oncology has witnessed a remarkable transformation with unprecedented advances that have revolutionized the management of complex tumors in this region. As an intricate subspecialty within oncology, head and neck surgical procedures demand detailed knowledge of the complex anatomy meticulous precision in surgical technique, and expertise to preserve vital functions while ensuring optimal oncological outcomes. With the relentless pursuit of improved patient outcomes, the integration of innovative technologies has significantly enhanced the surgical armamentarium. Robotics, endoscopic platforms, and image-guided navigation have revolutionized the surgical approach, enabling precise tumor resection and sparing healthy tissues. Furthermore, the application of advanced imaging modalities and molecular biomarker profiling has opened new avenues for personalized treatment strategies. From targeted therapies and immunotherapies to adaptive radiation techniques, clinicians are now equipped with an array of tailored options, ushering in a new era of personalized care for patients with head and neck malignancies. This article delves into the unfolding narratives of clinical triumphs, exploring the transformative potential of emerging therapies and the collaborative efforts propelling head and neck surgical oncology toward a future of hope and healing.
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Shirbandi K, Rikhtegar R, Khalafi M, Mirza Aghazadeh Attari M, Rahmani F, Javanmardi P, Iraji S, Babaei Aghdam Z, Rezaei Rashnoudi AM. Functional Magnetic Resonance Spectroscopy of Lactate in Alzheimer Disease: A Comprehensive Review of Alzheimer Disease Pathology and the Role of Lactate. Top Magn Reson Imaging 2023; 32:15-26. [PMID: 37093700 PMCID: PMC10121369 DOI: 10.1097/rmr.0000000000000303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 01/27/2023] [Accepted: 02/17/2023] [Indexed: 04/13/2023]
Abstract
ABSTRACT Functional 1H magnetic resonance spectroscopy (fMRS) is a derivative of dynamic MRS imaging. This modality links physiologic metabolic responses with available activity and measures absolute or relative concentrations of various metabolites. According to clinical evidence, the mitochondrial glycolysis pathway is disrupted in many nervous system disorders, especially Alzheimer disease, resulting in the activation of anaerobic glycolysis and an increased rate of lactate production. Our study evaluates fMRS with J-editing as a cutting-edge technique to detect lactate in Alzheimer disease. In this modality, functional activation is highlighted by signal subtractions of lipids and macromolecules, which yields a much higher signal-to-noise ratio and enables better detection of trace levels of lactate compared with other modalities. However, until now, clinical evidence is not conclusive regarding the widespread use of this diagnostic method. The complex machinery of cellular and noncellular modulators in lactate metabolism has obscured the potential roles fMRS imaging can have in dementia diagnosis. Recent developments in MRI imaging such as the advent of 7 Tesla machines and new image reconstruction methods, coupled with a renewed interest in the molecular and cellular basis of Alzheimer disease, have reinvigorated the drive to establish new clinical options for the early detection of Alzheimer disease. Based on the latter, lactate has the potential to be investigated as a novel diagnostic and prognostic marker for Alzheimer disease.
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Affiliation(s)
- Kiarash Shirbandi
- Neuroimaging and Analysis Group, Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran
| | - Reza Rikhtegar
- Department of Intracranial Endovascular Therapy, Alfried Krupp Krankenhaus Essen, Essen, Germany
| | - Mohammad Khalafi
- Medical Imaging Sciences Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | | | - Farzaneh Rahmani
- Department of Radiology, Washington University in St. Louis, St. Louis, MO
| | - Pouya Javanmardi
- Radiologic Technology Department, School of Allied Medical Sciences, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Sajjad Iraji
- Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran
| | - Zahra Babaei Aghdam
- Medical Imaging Sciences Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
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Furtado FS, Mercaldo ND, Vahle T, Benkert T, Bradley WR, Ratanaprasatporn L, Seethamraju RT, Harisinghani MG, Lee S, Suarez-Weiss K, Umutlu L, Catana C, Pomykala KL, Domachevsky L, Bernstine H, Groshar D, Rosen BR, Catalano OA. Simultaneous multislice diffusion-weighted imaging versus standard diffusion-weighted imaging in whole-body PET/MRI. Eur Radiol 2023; 33:2536-2547. [PMID: 36460925 DOI: 10.1007/s00330-022-09275-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Revised: 10/20/2022] [Accepted: 10/26/2022] [Indexed: 12/04/2022]
Abstract
OBJECTIVE To compare standard (STD-DWI) single-shot echo-planar imaging DWI and simultaneous multislice (SMS) DWI during whole-body positron emission tomography (PET)/MRI regarding acquisition time, image quality, and lesion detection. METHODS Eighty-three adults (47 females, 57%), median age of 64 years (IQR 52-71), were prospectively enrolled from August 2018 to March 2020. Inclusion criteria were (a) abdominal or pelvic tumors and (b) PET/MRI referral from a clinician. Patients were excluded if whole-body acquisition of STD-DWI and SMS-DWI sequences was not completed. The evaluated sequences were axial STD-DWI at b-values 50-400-800 s/mm2 and the apparent diffusion coefficient (ADC), and axial SMS-DWI at b-values 50-300-800 s/mm2 and ADC, acquired with a 3-T PET/MRI scanner. Three radiologists rated each sequence's quality on a five-point scale. Lesion detection was quantified using the anatomic MRI sequences and PET as the reference standard. Regression models were constructed to quantify the association between all imaging outcomes/scores and sequence type. RESULTS The median whole-body STD-DWI acquisition time was 14.8 min (IQR 14.1-16.0) versus 7.0 min (IQR 6.7-7.2) for whole-body SMS-DWI, p < 0.001. SMS-DWI image quality scores were higher than STD-DWI in the abdomen (OR 5.31, 95% CI 2.76-10.22, p < 0.001), but lower in the cervicothoracic junction (OR 0.21, 95% CI 0.10-0.43, p < 0.001). There was no significant difference in the chest, mediastinum, pelvis, and rectum. STD-DWI detected 276/352 (78%) lesions while SMS-DWI located 296/352 (84%, OR 1.46, 95% CI 1.02-2.07, p = 0.038). CONCLUSIONS In cancer staging and restaging, SMS-DWI abbreviates acquisition while maintaining or improving the diagnostic yield in most anatomic regions. KEY POINTS • Simultaneous multislice diffusion-weighted imaging enables faster whole-body image acquisition. • Simultaneous multislice diffusion-weighted imaging maintains or improves image quality when compared to single-shot echo-planar diffusion-weighted imaging in most anatomical regions. • Simultaneous multislice diffusion-weighted imaging leads to superior lesion detection.
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Affiliation(s)
- Felipe S Furtado
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA, 02114, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School, 149 13th Street, Charlestown, MA, 02129, USA
| | - Nathaniel D Mercaldo
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA, 02114, USA
| | - Thomas Vahle
- MR Application Predevelopment, Siemens Healthcare GmbH, Allee am Roethelheimpark 2, 91052, Erlangen, Germany
| | - Thomas Benkert
- MR Application Predevelopment, Siemens Healthcare GmbH, Allee am Roethelheimpark 2, 91052, Erlangen, Germany
| | - William R Bradley
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA, 02114, USA
| | - Lisa Ratanaprasatporn
- Brigham and Women's Hospital, Harvard Medical School, 75 Francis St, Boston, MA, 02115, USA
| | - Ravi Teja Seethamraju
- Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School, 149 13th Street, Charlestown, MA, 02129, USA
- MR Collaborations, Siemens Medical Solutions USA, Inc., 30 Jonathan Ln, Malden, MA, 02148, USA
| | - Mukesh G Harisinghani
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA, 02114, USA
| | - Susanna Lee
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA, 02114, USA
| | - Krista Suarez-Weiss
- Brigham and Women's Hospital, Harvard Medical School, 75 Francis St, Boston, MA, 02115, USA
| | - Lale Umutlu
- Universitätsmedizin Essen, Hufelandstraße 55, 45147, Essen, Germany
| | - Ciprian Catana
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA, 02114, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School, 149 13th Street, Charlestown, MA, 02129, USA
| | | | - Liran Domachevsky
- Sheba Medical Center, Derech Sheba 2, Ramat Gan, Israel
- Tel Aviv University, 6997801, Tel Aviv-Yafo, Israel
| | - Hanna Bernstine
- Tel Aviv University, 6997801, Tel Aviv-Yafo, Israel
- Assuta Medical Center, HaBarzel 20 St, Ramat Hahayal, Tel Aviv, Israel
| | - David Groshar
- Tel Aviv University, 6997801, Tel Aviv-Yafo, Israel
- Assuta Medical Center, HaBarzel 20 St, Ramat Hahayal, Tel Aviv, Israel
| | - Bruse R Rosen
- Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School, 149 13th Street, Charlestown, MA, 02129, USA
| | - Onofrio Antonio Catalano
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA, 02114, USA.
- Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School, 149 13th Street, Charlestown, MA, 02129, USA.
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D'Arco F, Mertiri L, de Graaf P, De Foer B, Popovič KS, Argyropoulou MI, Mankad K, Brisse HJ, Juliano A, Severino M, Van Cauter S, Ho ML, Robson CD, Siddiqui A, Connor S, Bisdas S. Guidelines for magnetic resonance imaging in pediatric head and neck pathologies: a multicentre international consensus paper. Neuroradiology 2022; 64:1081-1100. [PMID: 35460348 DOI: 10.1007/s00234-022-02950-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 04/05/2022] [Indexed: 12/19/2022]
Abstract
The use of standardized imaging protocols is paramount in order to facilitate comparable, reproducible images and, consequently, to optimize patient care. Standardized MR protocols are lacking when studying head and neck pathologies in the pediatric population. We propose an international, multicenter consensus paper focused on providing the best combination of acquisition time/technical requirements and image quality. Distinct protocols for different regions of the head and neck and, in some cases, for specific pathologies or clinical indications are recommended. This white paper is endorsed by several international scientific societies and it is the result of discussion, in consensus, among experts in pediatric head and neck imaging.
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Affiliation(s)
- Felice D'Arco
- Radiology Department, Great Ormond Street Hospital for Children, London, UK.,Radiology Department, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Livja Mertiri
- Radiology Department, Great Ormond Street Hospital for Children, London, UK. .,Faculty of Medicine and Dentistry, Sapienza University of Rome, Rome, Italy.
| | - Pim de Graaf
- Department of Radiology and Nuclear Medicine, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Bert De Foer
- Radiology Department, GZA Hospitals, Antwerp, Belgium
| | - Katarina S Popovič
- Neuroradiology Department, Clinical Institute of Radiology, University Medical Center Ljubljana, Zaloška 7, 1000, Ljubljana, Slovenia
| | - Maria I Argyropoulou
- Department of Clinical Radiology and Imaging, Medical School, University of Ioannina, Ioannina, Greece
| | - Kshitij Mankad
- Radiology Department, Great Ormond Street Hospital for Children, London, UK
| | - Hervé J Brisse
- Imaging Department, Institut Curie, Paris, France.,Institut Curie, Paris Sciences Et Lettres (PSL) Research University, Paris, France
| | - Amy Juliano
- Department of Radiology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA
| | | | - Sofie Van Cauter
- Department of Medical Imaging, Ziekenhuis Oost-Limburg, Genk, Belgium.,Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium
| | - Mai-Lan Ho
- Nationwide Children's Hospital, Columbus, OH, USA.,The Ohio State University, Columbus, OH, USA
| | - Caroline D Robson
- Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Ata Siddiqui
- Radiology Department, Guy's and St Thomas' NHS Foundation Trust, London, UK.,Department of Neuroradiology, King's College Hospital NHS Foundation Trust, London, UK
| | - Steve Connor
- Radiology Department, Guy's and St Thomas' NHS Foundation Trust, London, UK.,Department of Neuroradiology, King's College Hospital NHS Foundation Trust, London, UK.,School of Biomedical Engineering and Imaging Sciences, St Thomas' Hospital, King's College, London, UK
| | - Sotirios Bisdas
- Lysholm Department of Neuroradiology, The National Hospital for Neurology & Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UK.,Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, London, UK
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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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Yuan X, Zhang L, Sui R, Wang Z. A risk prediction model of post-stroke cognitive impairment based on magnetic resonance spectroscopy imaging. Neurol Res 2021; 43:642-652. [PMID: 33784942 DOI: 10.1080/01616412.2021.1908659] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Objective: To explore the clinical value of a risk prediction model of post-stroke cognitive impairment (PSCI) based on proton magnetic resonance spectroscopy (1H-MRS).Methods:A retrospective analysis was conducted on 376 stroke patients hospitalized between March 2016 and March 2019. Their relevant clinical baseline data were collected at admission. After the patients' condition was stabilized, 1H-MRS was performed to detect the related indices of the bilateral prefrontal lobe, thalamus, basal ganglia, hippocampus, precuneus, and angular gyrus. Within 12 months of the onset of stroke, cognitive impairment tests were performed monthly. Based on score results, stroke patients were divided into two groups: PSCI and post-stroke non-PSCI (N-PSCI). Thirty-four characteristic parameters of baseline and imaging data were extracted from the PSCI and N-PSCI groups. The least absolute shrinkage and selection operator (LASSO) regression was used for optimal feature selection, and a nomogram prediction model was established. The predictive ability of the model was validated by a calibration plot and the area under the curve (AUC) of the receiver operating characteristic curve.Results: Six risk factors were identified from clinical baseline data and MRS indices based on screening by LASSO dimensionality reduction. The consistency test of the correction curve showed that the prediction probability of the PSCI nomogram had good correlation with actual diagnosis. The AUCs of internal and external validation were 0.8935 and 0.8523, respectively.Discussion: A PSCI risk prediction model based on MRS serves to assist clinicians in estimating the risk of cognitive impairment after stroke.
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Affiliation(s)
- Xueling Yuan
- Department of Neurology, First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China
| | - Lei Zhang
- School of Nursing, Jinzhou Medical University, Jinzhou, China
| | - Rubo Sui
- Department of Neurology, First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China
| | - Zhuo Wang
- Department of Neurology, First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China
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