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Farida A, Yudy C, Elias S. A huge left buttock mass in an old female. J Orthop 2024; 54:116-119. [PMID: 38560592 PMCID: PMC10973534 DOI: 10.1016/j.jor.2024.03.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Accepted: 03/11/2024] [Indexed: 04/04/2024] Open
Abstract
Introduction Myxofibrosarcoma also known as myxoid malignant fibrous histiocytoma is a rare soft tissue sarcoma that has a predilection for the elderly (beyond the 6th decade). Clinical observation We report a case of a 64 years old patient that presented gradual appearance of huge tumor on her left buttock. Radiologic examination (MRI) concluded to MFS. There was no evidence of systemic involvement. The patient was directed in an oncology center, where the diagnostis of MFS was confirmed through surgical biopsy. Discussion MFS is one of the most frequent sarcoma of soft tissue that occurs in elderly patients. This is an infiltrant tumor that is extending through muscular fascia. MRI is the gold standard in characterisation; it makes the positive diagnosis of MFS thanks to the myxoid signal, triple signal and the tail sign that is corresponding to the extension of the tumor into the muscular fascia and peri nervous spaces. Conclusion Cross-sectionnal imaging in particular MRI plays a key role in the positive diagnosis of soft tissue tumors. It makes possible to approach with great precision the exact nature of the tumor thanks to specific radiological semiology without however claiming to replace histology.
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Affiliation(s)
| | - Cespedes Yudy
- Departement of Radiology, Peltier General Hospital, Djibouti, Djibouti
| | - Said Elias
- Departement of General Surgery, Regional Hospital of ARTA, Djibouti, Djibouti
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2
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Petersen CL, Byriel MR, Shkurti J, Rafaelsen SR. Large retrorectal spindle cell sarcoma: A case report and brief review of the literature. Radiol Case Rep 2024; 19:2684-2688. [PMID: 38645943 PMCID: PMC11033112 DOI: 10.1016/j.radcr.2024.03.059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 03/16/2024] [Accepted: 03/24/2024] [Indexed: 04/23/2024] Open
Abstract
Large retrorectal tumors are rare and often a diagnostic and surgical challenge due to their anatomical location. We report the case of a 55-year-old patient with weight loss and changed bowel habits, where digital rectal examination revealed a retrorectal mass raising suspicion of a tumor. Magnetic resonance imaging (MRI) and computed tomography (CT) showed a large retrorectal tumor and histopathology after surgical resection showed undifferentiated spindle cell sarcoma. This tumor type has not been previously reported as the etiology of large retrorectal tumors. We discuss the implications of diagnostic imaging, especially MRI, in the approach to diagnosis and surgical treatment of retrorectal tumors with reference to the scientific literature and previously reported cases of retrorectal tumors.
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Affiliation(s)
- Christian Lund Petersen
- Department of Radiology, University Hospital of Southern Denmark, Beriderbakken 4, DK-7100 Vejle, Denmark
| | - Mathias Rosenfeldt Byriel
- Department of Radiology, University Hospital of Southern Denmark, Beriderbakken 4, DK-7100 Vejle, Denmark
- Department of Regional Health Research, University of Southern Denmark, J.B. Winsløwvej 19, DK-5000 Odense, Denmark
| | - Jona Shkurti
- Department of Diagnostic Oncology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Søren Rafael Rafaelsen
- Department of Radiology, University Hospital of Southern Denmark, Beriderbakken 4, DK-7100 Vejle, Denmark
- Department of Regional Health Research, University of Southern Denmark, J.B. Winsløwvej 19, DK-5000 Odense, Denmark
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3
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Tajmalzai A, Zarabi A. Magnetic resonance imaging in rabies encephalitis, a case report, and review of the literature. Radiol Case Rep 2024; 19:2644-2649. [PMID: 38645944 PMCID: PMC11031717 DOI: 10.1016/j.radcr.2024.03.072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2024] [Revised: 03/14/2024] [Accepted: 03/25/2024] [Indexed: 04/23/2024] Open
Abstract
Rabies is an acute fatal disease of the central nervous system. Neuroimaging plays an important role, especially in establishing an early diagnosis and distinguishing it from other types of encephalitis. This case report aims to give a brief review of this condition and report the less common MRI findings of the disease. We herein report a case of a 61-year-old male bitten by a stray dog who presented with fever, vomiting, headache, sialorrhea, dysarthria, dysphagia, and upper limb weakness which progressed to lower limbs on the next day. T2W and FLAIR images demonstrated subtle bilateral hyperintense signal in the deep gray matter with more apparent increased signal intensity in the white matter of the frontal and parietal lobes which shows mild diffusion restriction but no postcontrast enhancement. The diagnosis of rabies encephalitis was made based on a typical history of exposure, a compatible clinical presentation, and MRI findings. Rabies diagnosis is essentially clinical. It is definitively confirmed by the isolation of the virus from biological samples such as saliva, CSF, hair, or detection of rabies antigens or antibodies. Magnetic resonance imaging (MRI) brain used as one of the modalities of investigation for distinguishing it from other encephalitis. Rabies per se does not have any characteristic features on the MRI brain.
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Affiliation(s)
- Abasin Tajmalzai
- Department of Radiology, Kabul University of Medical Sciences (Abu Ali Ibn Sina), Kabul, Afghanistan
| | - Ataullah Zarabi
- Department of Tuberculosis and Infectious Diseases, Kabul University of Medical Sciences (Abu Ali Ibn Sina), Kabul, Afghanistan
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Devi S, Gedda DUK, Chawla S, Doucette J, Yadav N, Mirshahi S, de Moura LP, Velloso LA, Mekary RA. The effect of weight loss on hypothalamus structure and function in obese individuals: a systematic review and meta-analysis. Int J Neurosci 2024; 134:75-87. [PMID: 35659180 DOI: 10.1080/00207454.2022.2086127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Accepted: 05/30/2022] [Indexed: 10/18/2022]
Abstract
INTRODUCTION Obesity presents with structural and functional hypothalamic dysfunction. However, it is unclear whether weight loss can lead to hypothalamic changes. We therefore aimed to conduct a systematic review and meta-analysis to determine the effect of body mass reduction in obese individuals on hypothalamic structure and function. METHODS PubMed, Embase and Cochrane databases were searched for studies that reported the change in hypothalamic structure and function after weight loss. Qualitative and quantitative analyses were performed on magnetic resonance imaging techniques, medio-basal hypothalamus T2-relaxation time, blood oxygen level dependent (BOLD) contrast, voxel-based morphometry (VBM) and biomarkers including glucose, insulin, leptin, ghrelin and inflammatory markers of interleukins. Mean differences between pre- and post-weight loss and 95% confidence intervals (CIs) were pooled using random-effects models. RESULTS Thirteen pre-post studies were included, of which six accounted for the meta-analysis. Studies showed a favorable decrease in T2-relaxation time (n = 1), favorable change in hypothalamic activity after weight loss on BOLD contrast (n = 4), with higher peak activities after surgical weight loss (n = 2). No differences were found in the gray matter density of the hypothalamus on VBM (n = 1). Pooled mean differences between pre- and post-surgical weight loss revealed a decrease of 8.53 mg/dl (95% CI: 5.17, 11.9) in glucose, 7.73 pmol/l (95% CI: 5.07, 10.4) in insulin, 15.5 ng/ml (95% CI: 9.40, 21.6) in leptin, 142.9 pg/ml (95% CI: 79.0, 206.8) in ghrelin and 9.43 pg/ml (95% CI: -6.89, 25.7) in IL-6 level. CONCLUSIONS Our study showed weight reduction in obesity led to limited structural change and significant functional changes in the hypothalamus.
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Affiliation(s)
- Sharmila Devi
- Faculty of Life Sciences and Medicine, King's College of London (KCL), London, UK
- Department of Neurosurgery, Computational Neurosurgical Outcomes Center, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Durga Udaya Keerthi Gedda
- School of Pharmacy, Massachusetts College of Pharmacy and Health Sciences (MCPHS) University, Boston, MA, USA
| | - Shreya Chawla
- Faculty of Life Sciences and Medicine, King's College of London (KCL), London, UK
- Department of Neurosurgery, Computational Neurosurgical Outcomes Center, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Joanne Doucette
- School of Pharmacy, Massachusetts College of Pharmacy and Health Sciences (MCPHS) University, Boston, MA, USA
| | - Nishi Yadav
- School of Pharmacy, Massachusetts College of Pharmacy and Health Sciences (MCPHS) University, Boston, MA, USA
| | - Shervin Mirshahi
- Department of Neurosurgery, Computational Neurosurgical Outcomes Center, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Leandro P de Moura
- Laboratory of Molecular Biology of Exercise (LaBMEx), School of Applied Sciences, University of Campinas (UNICAMP), Limeira, Brazil
- CEPECE - Center of Research in Sport Sciences, School of Applied Sciences, University of Campinas, Limeira, Brazil
| | - Lício A Velloso
- Department of Internal Medicine, Laboratory of Cell Signaling, University of Campinas, Campinas, Brazil
| | - Rania A Mekary
- Department of Neurosurgery, Computational Neurosurgical Outcomes Center, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- School of Pharmacy, Massachusetts College of Pharmacy and Health Sciences (MCPHS) University, Boston, MA, USA
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5
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Xi Y, Dong H, Wang M, Chen S, Han J, Liu M, Jiang F, Ding Z. Early prediction of long-term survival of patients with nasopharyngeal carcinoma by multi-parameter MRI radiomics. Eur J Radiol Open 2024; 12:100543. [PMID: 38235439 PMCID: PMC10793089 DOI: 10.1016/j.ejro.2023.100543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 12/13/2023] [Accepted: 12/26/2023] [Indexed: 01/19/2024] Open
Abstract
Purpose The objective is to create a comprehensive model that integrates clinical, semantic, and radiomics features to forecast the 5-year progression-free survival (PFS) of individuals diagnosed with non-distant metastatic Nasopharyngeal Carcinoma (NPC). Methods In a retrospective analysis, we included clinical and MRI data from 313 patients diagnosed with primary NPC. Patient classification into progressive and non-progressive categories relied on the occurrence of recurrence or distant metastasis within a 5-year timeframe. Initial screening comprised clinical features and statistically significant image semantic features. Subsequently, MRI radiomics features were extracted from all patients, and optimal features were selected to formulate the Rad-Score.Combining Rad-Score, image semantic features, and clinical features to establish a combined model Evaluation of predictive efficacy was conducted using ROC curves and nomogram specific to NPC progression. Lastly, employing the optimal ROC cutoff value from the combined model, patients were dichotomized into high-risk and low-risk groups, facilitating a comparison of 10-year overall survival (OS) between the groups. Results The combined model showcased superior predictive performance for NPC progression, reflected by AUC values of 0.84, an accuracy rate of 81.60%, sensitivity at 0.77, and specificity at 0.81 within the training group. In the test set, the AUC value reached 0.81, with an accuracy of 74.6%, sensitivity at 0.82, and specificity at 0.66. Conclusion The amalgamation of Rad-Score, clinical, and imaging semantic features from multi-parameter MRI exhibited significant promise in prognosticating 5-year PFS for non-distant metastatic NPC patients. The combined model provided quantifiable data for informed and personalized diagnosis and treatment planning.
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Affiliation(s)
- Yuzhen Xi
- Department of Radiology, 903th RD Hospital of PLA, Hangzhou, China
| | - Hao Dong
- Department of Radiology, The First People's Hospital of Xiaoshan District, Xiaoshan Affiliated Hospital of Wenzhou Medical University, Hangzhou, Zhejiang, China
| | - Mengze Wang
- Department of Radiology, Zhejiang Cancer Hospital, Hangzhou, China
| | - Shiyu Chen
- Department of Radiology, 903th RD Hospital of PLA, Hangzhou, China
| | - Jing Han
- Department of Radiology, Zhejiang KangJing Hospital, Hangzhou, China
| | - Miao Liu
- Department of Radiology, 903th RD Hospital of PLA, Hangzhou, China
| | - Feng Jiang
- Department of Radiology, Zhejiang Cancer Hospital, Hangzhou, China
| | - Zhongxiang Ding
- Department of Radiology, Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Affiliated Hangzhou First People's Hospital, Cancer Center, Hangzhou, China
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Tasbihi E, Gladytz T, Millward JM, Periquito JS, Starke L, Waiczies S, Cantow K, Seeliger E, Niendorf T. In vivo monitoring of renal tubule volume fraction using dynamic parametric MRI. Magn Reson Med 2024; 91:2532-2545. [PMID: 38321592 DOI: 10.1002/mrm.30023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 01/05/2024] [Accepted: 01/06/2024] [Indexed: 02/08/2024]
Abstract
PURPOSE The increasing incidence of kidney diseases is a global concern, and current biomarkers and treatments are inadequate. Changes in renal tubule luminal volume fraction (TVF) serve as a rapid biomarker for kidney disease and improve understanding of renal (patho)physiology. This study uses the amplitude of the long T2 component as a surrogate for TVF in rats, by applying multiexponential analysis of the T2-driven signal decay to examine micromorphological changes in renal tissue. METHODS Simulations were conducted to identify a low mean absolute error (MAE) protocol and an accelerated protocol customized for the in vivo study of T2 mapping of the rat kidney at 9.4 T. We then validated our bi-exponential approach in a phantom mimicking the relaxation properties of renal tissue. This was followed by a proof-of-principle demonstration using in vivo data obtained during a transient increase of renal pelvis and tubular pressure. RESULTS Using the low MAE protocol, our approach achieved an accuracy of MAE < 1% on the mechanical phantom. The T2 mapping protocol customized for in vivo study achieved an accuracy of MAE < 3%. Transiently increasing pressure in the renal pelvis and tubules led to significant changes in TVF in renal compartments: ΔTVFcortex = 4.9%, ΔTVFouter_medulla = 4.5%, and ΔTVFinner_medulla = -14.6%. CONCLUSION These results demonstrate that our approach is promising for research into quantitative assessment of renal TVF in in vivo applications. Ultimately, these investigations have the potential to help reveal mechanism in acute renal injury that may lead to chronic kidney disease, which will support research into renal disorders.
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Affiliation(s)
- Ehsan Tasbihi
- Berlin Ultrahigh Field Facility, Max Delbrueck Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
- Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Thomas Gladytz
- Berlin Ultrahigh Field Facility, Max Delbrueck Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Jason M Millward
- Berlin Ultrahigh Field Facility, Max Delbrueck Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
- Hasso Plattner Institute for Digital Engineering, University of Potsdam, Potsdam, Germany
| | - Joāo S Periquito
- Berlin Ultrahigh Field Facility, Max Delbrueck Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Ludger Starke
- Berlin Ultrahigh Field Facility, Max Delbrueck Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
- Experimental and Clinical Research Center, a Joint Cooperation Between the Charité Medical Faculty and the Max Delbrück Center for Molecular Medicine, Berlin, Germany
| | - Sonia Waiczies
- Berlin Ultrahigh Field Facility, Max Delbrueck Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
- Hasso Plattner Institute for Digital Engineering, University of Potsdam, Potsdam, Germany
| | - Kathleen Cantow
- Institute of Translational Physiology, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Erdmann Seeliger
- Institute of Translational Physiology, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Thoralf Niendorf
- Berlin Ultrahigh Field Facility, Max Delbrueck Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
- Experimental and Clinical Research Center, a Joint Cooperation Between the Charité Medical Faculty and the Max Delbrück Center for Molecular Medicine, Berlin, Germany
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Ishido H, Tajima H, Meguro S, Takada M, Tatsuoka T, Kawasaki K, Ono Y, Ban S, Okuyama T, Yoshitomi H. Primary anastomosing hemangioma as a preoperative diagnostic mimicker of retroperitoneal cavernous hemangioma: A case report. Oncol Lett 2024; 27:254. [PMID: 38646490 PMCID: PMC11027107 DOI: 10.3892/ol.2024.14386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 01/30/2024] [Indexed: 04/23/2024] Open
Abstract
Anastomosing hemangioma (AH) is rare and a newly recognized variant of capillary hemangioma that is mostly found in the genitourinary tract. Additionally, AH is sometimes difficult to diagnose without pathological specimens. It is difficult to diagnose preoperatively due to the lack of specific clinical and radiologic appearance. The present report describes the imaging features from a radiological perspective and outlines the clinicopathologic features and treatment options. A 67-year-old woman was referred to Dokkyo Medical University Saitama Medical Center (Koshigaya, Japan) for a retroperitoneal tumor that was identified at a medical checkup 4 years prior. The patient had no symptoms, no abnormal physical signs and no past medical or specific family history. Routine blood tests were all within the normal ranges. A nonenhanced CT scan showed a circular, homogenous, well-circumscribed retroperitoneal tumor that was ~32×23 mm in size, between the abdominal aorta and the inferior vena cava, and just below the left renal vein. On a contrast-enhanced multidetector CT scan, the tumor showed heterogeneous septal enhancement in the arterial phase and persistent enhancement in the portal phase. The tumor was diagnosed as a benign neurogenic tumor or a retroperitoneal cavernous hemangioma at the time, and the patient was intended to be followed up at the outpatient clinic. However, it gradually increased to a maximum diameter of 35 mm over 4 years. Finally, it was completely resected by open laparotomy and pathologically diagnosed as AH. Retroperitoneal hemangioma is extremely rare in adulthood and has been confirmed in only 1-3% of all retroperitoneal tumors. To the best of our knowledge, only 6 cases of para-aortic AH have been reported. The incidence of this variant is very low. However, AH may be included in the differential diagnosis when a slowly progressing heterogeneous mass appears in the para-aortic region that exhibits a CT-enhanced pattern similar to a typical cavernous hemangioma.
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Affiliation(s)
- Hirotaka Ishido
- Department of Surgery, Dokkyo Medical University Saitama Medical Center, Koshigaya, Saitama 343-8555, Japan
| | - Hidehiro Tajima
- Department of Surgery, Dokkyo Medical University Saitama Medical Center, Koshigaya, Saitama 343-8555, Japan
| | - Soya Meguro
- Department of Surgery, Dokkyo Medical University Saitama Medical Center, Koshigaya, Saitama 343-8555, Japan
| | - Musashi Takada
- Department of Surgery, Dokkyo Medical University Saitama Medical Center, Koshigaya, Saitama 343-8555, Japan
| | - Teppei Tatsuoka
- Department of Surgery, Dokkyo Medical University Saitama Medical Center, Koshigaya, Saitama 343-8555, Japan
| | - Keishi Kawasaki
- Department of Surgery, Dokkyo Medical University Saitama Medical Center, Koshigaya, Saitama 343-8555, Japan
| | - Yuko Ono
- Department of Nephrology and Hypertension, Saitama Medical Center, Saitama Medical University, Kawagoe, Saitama 350-8550, Japan
- Department of Diagnostic Pathology, Dokkyo Medical University, Mibu, Tochigi 321-0293, Japan
| | - Shinichi Ban
- Department of Pathology, Dokkyo Medical University Saitama Medical Center, Koshigaya, Saitama 343-8555, Japan
| | - Takashi Okuyama
- Department of Surgery, Dokkyo Medical University Saitama Medical Center, Koshigaya, Saitama 343-8555, Japan
| | - Hideyuki Yoshitomi
- Department of Surgery, Dokkyo Medical University Saitama Medical Center, Koshigaya, Saitama 343-8555, Japan
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Spalek K, Straathof M, Koyuncu L, Grydeland H, van der Geest A, Van't Hof SR, Crone EA, Barba-Müller E, Carmona S, Denys D, Tamnes CK, Burke S, Hoekzema E. Pregnancy renders anatomical changes in hypothalamic substructures of the human brain that relate to aspects of maternal behavior. Psychoneuroendocrinology 2024; 164:107021. [PMID: 38492349 DOI: 10.1016/j.psyneuen.2024.107021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 03/07/2024] [Accepted: 03/09/2024] [Indexed: 03/18/2024]
Abstract
Animal studies have shown that pregnancy is associated with neural adaptations that promote maternal care. The hypothalamus represents a central structure of the mammalian maternal brain and hormonal priming of specific hypothalamic nuclei plays a key role in the induction and expression of maternal behavior. In humans, we have previously demonstrated that becoming a mother involves changes in grey matter anatomy, primarily in association areas of the cerebral cortex. In the current study, we investigated whether pregnancy renders anatomical changes in the hypothalamus. Using an advanced delineation technique, five hypothalamic substructures were defined in longitudinal MRI scans of 107 women extracted from two prospective pre-conception cohort studies, including 50 women who were scanned before and after pregnancy and 57 nulliparous control women scanned at a similar time interval. We showed that becoming a mother is associated with volume reductions in the anterior-superior, superior tuberal and posterior hypothalamus. In addition, these structural changes related to hormonal levels during pregnancy and specific aspects of self-reported maternal behavior in late pregnancy, including maternal-fetal attachment and nesting behavior. These findings show that pregnancy leads to changes in hypothalamic anatomy and suggest that these contribute to the development of maternal behavior in humans, supporting the conservation of key aspects of maternal brain circuitry and their role in maternal behavior across species.
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Affiliation(s)
- Klara Spalek
- Hoekzema Lab, Amsterdam University Medical Center (Amsterdam UMC), location University of Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Amsterdam Reproduction and Development, Amsterdam, the Netherlands
| | - Milou Straathof
- Hoekzema Lab, Amsterdam University Medical Center (Amsterdam UMC), location University of Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Amsterdam Reproduction and Development, Amsterdam, the Netherlands
| | - Lal Koyuncu
- Brain and Development Research Center, Leiden Institute for Brain and Cognition, Leiden University, Leiden, the Netherlands
| | - Håkon Grydeland
- Center for Lifespan Changes in Brain and Cognition (LCBC), Department of Psychology, University of Oslo, Norway
| | - Anouk van der Geest
- Brain and Development Research Center, Leiden Institute for Brain and Cognition, Leiden University, Leiden, the Netherlands
| | - Sophie R Van't Hof
- Hoekzema Lab, Amsterdam University Medical Center (Amsterdam UMC), location University of Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Amsterdam Reproduction and Development, Amsterdam, the Netherlands
| | - Eveline A Crone
- Brain and Development Research Center, Leiden Institute for Brain and Cognition, Leiden University, Leiden, the Netherlands
| | | | - Susana Carmona
- Departamento de Bioingeniería e Ingeniería Aeroespacial, Universidad Carlos III de Madrid, Instituto de Investigación Sanitaria Gregorio Marañón, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - Damiaan Denys
- Department of Psychiatry, Amsterdam University Medical Center (Amsterdam UMC), location University of Amsterdam, the Netherlands
| | - Christian K Tamnes
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway; NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Sarah Burke
- Brain and Development Research Center, Leiden Institute for Brain and Cognition, Leiden University, Leiden, the Netherlands; Interdisciplinary Center Psychopathology and Emotion regulation, Department of Psychiatry, University Medical Center Groningen, University of Groningen, the Netherlands
| | - Elseline Hoekzema
- Hoekzema Lab, Amsterdam University Medical Center (Amsterdam UMC), location University of Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Amsterdam Reproduction and Development, Amsterdam, the Netherlands.
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Faghani R, Motamed-Gorji N, Khademi S. Case report: Poorly differentiated breast carcinoma presenting as a breast abscess. Radiol Case Rep 2024; 19:2508-2513. [PMID: 38596174 PMCID: PMC11001626 DOI: 10.1016/j.radcr.2024.02.071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 02/19/2024] [Accepted: 02/20/2024] [Indexed: 04/11/2024] Open
Abstract
We report a case of 31-year-old female with no past medical history who presented with sudden onset discharging skin ulcer in left inframammary fold with erythema and swelling immediately after she came back from holiday for which she presented to the breast one stop clinic and underwent ultrasound-guided aspiration of the detected cystic lesion in the left breast with impression of breast abscess. Afterwards, as the result of cytology reporting as C5, ultrasound-guided Core-Needle Biopsy was performed, which confirmed poorly differentiated carcinoma of breast. Furthermore, similar necrotizing masses were found in axillary lymph nodes and Liver. The final diagnosis was concluded as poorly differentiated breast carcinoma with metastasis to axillary lymph nodes and the liver. This case reports a very uncommon presentation of breast carcinoma in a young patient with no past medical history, presenting with cystic necrotizing mass which is extremely rare in breast cancer. At the time of presentation, carcinoma had spread to the liver and axillary nodes.
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Affiliation(s)
- Roya Faghani
- Radiology Department, Lewisham and Greenwich NHS Trust, London, United Kingdom
| | - Nazgol Motamed-Gorji
- Neurology Department, University College London Hospital, London, United Kingdom
| | - Sara Khademi
- Cardiolgy Department, Royal Brompton Hospital, Guy's and St Thomas's NHS Foundation Trust, London, United Kingdom
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Oukrid K, Ziani H, Ziani C, Bhallil S, Nasri S, Kamaoui I, Skiker I. Cerebral actinomycosis following a facio-cranial trauma: A case report. Radiol Case Rep 2024; 19:2253-2255. [PMID: 38532910 PMCID: PMC10963192 DOI: 10.1016/j.radcr.2024.02.043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2024] [Accepted: 02/12/2024] [Indexed: 03/28/2024] Open
Abstract
Cerebral actinomycosis is a rare, chronic, but curable bacterial brain infection. We report the case of an 18-year-old male patient with a history of facio-cranial trauma, admitted in our institution with severe headaches and behavioral disorders. Magnetic resonance imaging (MRI) was performed showing the presence of contiguous multiple small round and ovoid lesions in the right frontal lobe with "the dot in circle" appearance. The diagnosis of cerebral actinomycosis was confirmed by histological study of the biopsy sample. Despite it being a rare condition, it is important to consider this diagnosis in patients with atypical post-traumatic neurological symptoms.
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Affiliation(s)
- Khaoula Oukrid
- Radiology Department, Mohammed VI University Hospital, Oujda, Morocco
- Mohammed First University Oujda, Faculty of Medicine and Pharmacy, Oujda, Oujda Morocco
| | - Hamid Ziani
- Radiology Department, Mohammed VI University Hospital, Oujda, Morocco
- Mohammed First University Oujda, Faculty of Medicine and Pharmacy, Oujda, Oujda Morocco
| | - Chaymae Ziani
- Radiology Department, Mohammed VI University Hospital, Oujda, Morocco
- Mohammed First University Oujda, Faculty of Medicine and Pharmacy, Oujda, Oujda Morocco
| | - Siham Bhallil
- Radiology Department, Mohammed VI University Hospital, Oujda, Morocco
- Mohammed First University Oujda, Faculty of Medicine and Pharmacy, Oujda, Oujda Morocco
| | - Siham Nasri
- Radiology Department, Mohammed VI University Hospital, Oujda, Morocco
- Mohammed First University Oujda, Faculty of Medicine and Pharmacy, Oujda, Oujda Morocco
| | - Imane Kamaoui
- Radiology Department, Mohammed VI University Hospital, Oujda, Morocco
- Mohammed First University Oujda, Faculty of Medicine and Pharmacy, Oujda, Oujda Morocco
| | - Imane Skiker
- Radiology Department, Mohammed VI University Hospital, Oujda, Morocco
- Mohammed First University Oujda, Faculty of Medicine and Pharmacy, Oujda, Oujda Morocco
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11
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Robison TH, Lee W, Luker KE, Pettit K, Talpaz M, Chenevert TL, Ross BD, Luker GD. Quantitative MRI reveals heterogeneous impacts of treatment on diseased bone marrow in a mouse model of myelofibrosis. Magn Reson Med 2024; 91:2568-2578. [PMID: 38265182 PMCID: PMC10997455 DOI: 10.1002/mrm.30016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 12/20/2023] [Accepted: 01/03/2024] [Indexed: 01/25/2024]
Abstract
PURPOSE Analyzing bone marrow in the hematologic cancer myelofibrosis requires endpoint histology in mouse models and bone marrow biopsies in patients. These methods hinder the ability to monitor therapy over time. Preclinical studies typically begin treatment before mice develop myelofibrosis, unlike patients who begin therapy only after onset of disease. Using clinically relevant, quantitative MRI metrics allowed us to evaluate treatment in mice with established myelofibrosis. METHODS We used chemical shift-encoded fat imaging, DWI, and magnetization transfer sequences to quantify bone marrow fat, cellularity, and macromolecular components in a mouse model of myelofibrosis. We monitored spleen volume, the established imaging marker for treatment, with anatomic MRI. After confirming bone marrow disease by MRI, we randomized mice to treatment with an approved drug (ruxolitinib or fedratinib) or an investigational agent, navitoclax, for 33 days. We measured the effects of therapy over time with bone marrow and spleen MRI. RESULTS All treatments produced heterogeneous responses with improvements in bone marrow evident in subsets of individual mice in all treatment groups. Reductions in spleen volume commonly occurred without corresponding improvement in bone marrow. MRI revealed patterns associated with effective and ineffective responses to treatment in bone marrow and identified regional variations in efficacy within a bone. CONCLUSIONS Quantitative MRI revealed modest, heterogeneous improvements in bone marrow disease when treating mice with established myelofibrosis. These results emphasize the value of bone marrow MRI to assess treatment in preclinical models and the potential to advance clinical trials for patients.
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Affiliation(s)
- Tanner H Robison
- Department of Radiology (Center for Molecular Imaging), University of Michigan, Ann Arbor, Michigan, USA
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, USA
| | - Winston Lee
- Department of Pathology, City of Hope, Duarte, California, USA
| | - Kathryn E Luker
- Department of Radiology (Center for Molecular Imaging), University of Michigan, Ann Arbor, Michigan, USA
- Biointerfaces Institute, University of Michigan, Ann Arbor, Michigan, USA
| | - Kristen Pettit
- Department of Internal Medicine (Division of Hematology/Oncology), University of Michigan, Ann Arbor, Michigan, USA
| | - Moshe Talpaz
- Department of Internal Medicine (Division of Hematology/Oncology), University of Michigan, Ann Arbor, Michigan, USA
| | - Thomas L Chenevert
- Department of Radiology (Center for Molecular Imaging), University of Michigan, Ann Arbor, Michigan, USA
| | - Brian D Ross
- Department of Radiology (Center for Molecular Imaging), University of Michigan, Ann Arbor, Michigan, USA
- Department of Biological Chemistry, University of Michigan, Ann Arbor, Michigan, USA
| | - Gary D Luker
- Department of Radiology (Center for Molecular Imaging), University of Michigan, Ann Arbor, Michigan, USA
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, USA
- Biointerfaces Institute, University of Michigan, Ann Arbor, Michigan, USA
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12
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Collins JE, Roemer FW, Guermazi A. Approaches to optimize analyses of multidimensional ordinal MRI data in osteoarthritis research: A perspective. Osteoarthr Cartil Open 2024; 6:100465. [PMID: 38601258 PMCID: PMC11004399 DOI: 10.1016/j.ocarto.2024.100465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 03/22/2024] [Indexed: 04/12/2024] Open
Abstract
Objective Knee osteoarthritis (OA) is a disease of the whole joint involving multiple tissue types. MRI-based semi-quantitative (SQ) scoring of knee OA is a method to perform multi-tissue joint assessment and has been shown to be a valid and reliable way to measure structural multi-tissue involvement and progression of the disease. While recent work has described how SQ scoring may be used for clinical trial enrichment and disease phenotyping in OA, less guidance is available for how these parameters may be used to assess study outcomes. Design Here we present recommendations for summarizing disease progression within specific tissue types. We illustrate how various methods may be used to quantify longitudinal change using SQ scoring and review examples from the literature. Results Approaches to quantify longitudinal change across subregions include the count of number of subregions, delta-subregion, delta-sum, and maximum grade changes. Careful attention should be paid to features that may fluctuate, such as bone marrow lesions, or with certain interventions, for example pharmacologic interventions with anticipated cartilage anabolic effects. The statistical approach must align with the nature of the outcome. Conclusions SQ scoring presents a way to understand disease progression across the whole joint. As OA is increasingly recognized as a heterogeneous disease with different phenotypes a better understanding of longitudinal progression across tissue types may present an opportunity to match study outcome to patient phenotype or to treatment mechanism of action.
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Affiliation(s)
- Jamie E. Collins
- Orthopaedics and Arthritis Center of Outcomes Research, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, BTM Suite 5016, Boston, MA, 02115, USA
| | - Frank W. Roemer
- Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, 820 Harrison Avenue, FGH Building, 4th Floor, Boston, MA, 02118, USA
- Department of Radiology, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Universitätsklinikum Erlangen, Maximiliansplatz 3, 91054 Erlangen, Germany
| | - Ali Guermazi
- Quantitative Imaging Center, Department of Radiology, Boston University School of Medicine, 820 Harrison Avenue, FGH Building, 4th Floor, Boston, MA, 02118, USA
- Department of Radiology, VA Boston Healthcare System, 1400 VFW Parkway, Suite 1B105, West Roxbury, MA, 02132, USA
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13
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Fayisa ST, Pokharel N, Solomon A, Negash L, Biltibo LA, Bedasso SH, Abebe AT. Navigating diagnostic challenges: imaging strategies for herpes simplex encephalitis in resource limited settings: A case report. Radiol Case Rep 2024; 19:2183-2187. [PMID: 38515771 PMCID: PMC10950604 DOI: 10.1016/j.radcr.2024.02.060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2023] [Revised: 02/08/2024] [Accepted: 02/15/2024] [Indexed: 03/23/2024] Open
Abstract
Encephalitis refers to the inflammatory condition affecting the brain parenchyma, leading to various neurological impairments. It can have various causes: infectious, postinfectious, and noninfectious origins. In this case, we present a 76-year-old man who presented to the emergency room with complaints of headache and behavioral changes. Initially, a Computed Tomography (CT) scan raised suspicion of herpes simplex encephalitis and prompted the initiation of treatment. Subsequently, Magnetic Resonance Imaging (MRI) and Cerebrospinal fluid (CSF) culture confirmed the diagnosis. However, despite medical intervention, the patient's condition unexpectedly deteriorated, and he unfortunately passed away after spending 2 weeks in the Intensive Care Unit (ICU). Possible factors contributing to this outcome include delayed presentation to medical care, viral resistance, or the inherent nature of the infection itself, particularly in elderly patients.
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Affiliation(s)
- Shimalis Tadasa Fayisa
- Department of Radiology, College of Health Science, Mizan Tepi University, Mizan, Ethiopia
| | - Nishma Pokharel
- Departement of medicine, Kathmandu Medical college, Kathmandu, Nepal
| | | | - Lense Negash
- Departement of Medicine, S't Paul's Hospital Millenium Medical Collage hospital, Addis Ababa, Ethiopia
| | - Lidiya Ayele Biltibo
- Departement of Diagnostic Radiology, University of Texas Medical Branch, Galveston, TX, USA
| | - Selamawit Hailu Bedasso
- Departement of Medicine, ALERT Hospital/Armauer Hansen Research Institute, Addis Ababa, Ethiopia
| | - Abel Tsehay Abebe
- Departement of Diagnostic Radiology, University of Texas Medical Branch, Galveston, TX, USA
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14
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Almeida FC, Jesus T, Coelho A, Quintas-Neves M, Gauthreaux K, Teylan MA, Mock CN, Kukull WA, Crary JF, Oliveira TG. Psychosis in Alzheimer's disease is associated with specific changes in brain MRI volume, cognition and neuropathology. Neurobiol Aging 2024; 138:10-18. [PMID: 38471417 DOI: 10.1016/j.neurobiolaging.2024.02.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 02/25/2024] [Accepted: 02/28/2024] [Indexed: 03/14/2024]
Abstract
Psychosis in Alzheimer's Disease (AD) is prevalent and indicates poor prognosis. However, the neuropathological, cognitive and brain atrophy patterns underlying these symptoms have not been fully elucidated. In this study, we evaluated 178 patients with AD neuropathological change (ADNC) and ante-mortem volumetric brain magnetic resonance imaging (MRI). Presence of psychosis was determined using the Neuropsychiatric Inventory Questionnaire. Clinical Dementia Rating Sum-of-boxes (CDR-SB) was longitudinally compared between groups with a follow-up of 3000 days using mixed-effects multiple linear regression. Neuropsychological tests closest to the time of MRI and brain regional volumes were cross-sectionally compared. Psychosis was associated with lower age of death, higher longitudinal CDR-SB scores, multi-domain cognitive deficits, higher neuritic plaque severity, Braak stage, Lewy Body pathology (LB) and right temporal lobe regional atrophy. Division according to the presence of LB showed differential patterns of AD-typical pathology, cognitive deficits and regional atrophy. In conclusion, psychosis in ADNC with and without LB has clinical value and associates with subgroup patterns of neuropathology, cognition and regional atrophy.
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Affiliation(s)
- Francisco C Almeida
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal; ICVS/3B's-PT Government Associate Laboratory, Braga, Guimarães, Portugal; Department of Neuroradiology, Centro Hospitalar Universitário do Porto, Porto, Portugal
| | - Tiago Jesus
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal; ICVS/3B's-PT Government Associate Laboratory, Braga, Guimarães, Portugal; Center Algoritmi, LASI, University of Minho, Braga 4710-057, Portugal
| | - Ana Coelho
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal; ICVS/3B's-PT Government Associate Laboratory, Braga, Guimarães, Portugal
| | - Miguel Quintas-Neves
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal; ICVS/3B's-PT Government Associate Laboratory, Braga, Guimarães, Portugal; Department of Neuroradiology, Hospital de Braga, Braga, Portugal
| | - Kathryn Gauthreaux
- Department of Epidemiology, National Alzheimer's Coordinating Center, University of Washington, Seattle, WA, USA
| | - Merilee A Teylan
- Department of Epidemiology, National Alzheimer's Coordinating Center, University of Washington, Seattle, WA, USA
| | - Charles N Mock
- Department of Epidemiology, National Alzheimer's Coordinating Center, University of Washington, Seattle, WA, USA
| | - Walter A Kukull
- Department of Epidemiology, National Alzheimer's Coordinating Center, University of Washington, Seattle, WA, USA
| | - John F Crary
- Neuropathology Brain Bank & Research Core, Department of Pathology, Nash Family Department of Neuroscience, Department of Artificial Intelligence & Human Health, Friedman Brain Institute, Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Tiago Gil Oliveira
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal; ICVS/3B's-PT Government Associate Laboratory, Braga, Guimarães, Portugal; Department of Neuroradiology, Hospital de Braga, Braga, Portugal.
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15
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Hoyt D, Hughes J, Liu J, Ayyad H. Primary central nervous system post-transplantation lymphoproliferative disorder: A case report and systematic review of imaging findings. Radiol Case Rep 2024; 19:2168-2182. [PMID: 38515768 PMCID: PMC10950589 DOI: 10.1016/j.radcr.2024.02.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 02/07/2024] [Accepted: 02/09/2024] [Indexed: 03/23/2024] Open
Abstract
Primary central nervous system post-transplant lymphoproliferative disease (PCNS-PTLD) is a rare subset of post-transplant lymphoproliferative disorder (PTLD) isolated to the CNS without nodal or extra-nodal organ involvement [1,2]. PCNS-PTLD occurs primarily in patients following either solid organ transplants or hematopoietic stem cell transplants and tends to be monomorphic DLBCL. The development of PCNS-PTLD is commonly associated with EBV infection [3]. Many intracranial pathologies can resemble the imaging appearance of PCNS-PTLD, including primary CNS lymphoma, glial tumors, metastatic disease, and intracranial abscesses. The purpose of this systematic review is to identify the most common imaging characteristics of PCNS-PTLD. Our review included 97 sources that describe the imaging appearance of PCNS-PTLD. Based on our review, PCNS-PTLD lesions are typically multifocal, ring-enhancing and diffusion-restricting. PCNS-PTLD lesions typically demonstrate focal FDG avidity. Despite advancement in medical imaging, PCNS-PTLD remains a diagnostic challenge due to its rare incidence. Limited data is available on advanced imaging with regards to PTLD, but techniques including DCE-MRI and fMRI demonstrate promising results that may help further delineate PCNS-PTLD.
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Affiliation(s)
- Dylan Hoyt
- Barrow Neurological Institute, Department of Neuroradiology, 350 W Thomas Road, Phoenix, AZ 85013
- Creighton University Arizona Diagnostic Radiology Residency, Department of Radiology, 350 W Thomas Road, Phoenix, AZ 85013
| | - Jeremy Hughes
- Barrow Neurological Institute, Department of Neuroradiology, 350 W Thomas Road, Phoenix, AZ 85013
| | - John Liu
- Creighton University School of Medicine, 2621 Burt St., Omaha, NE 68178
| | - Hashem Ayyad
- Department of Radiology, St. Josephs Hospital and Medical Center, Department of Pathology, 350 W Thomas Road, Phoenix, AZ 85013
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16
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Goodhart T, Seres P, Grenier J, Keen C, Stobbe R, Thompson RB. Dynamic changes in lung water density and volume following supine body positioning. Magn Reson Med 2024; 91:2612-2620. [PMID: 38247037 DOI: 10.1002/mrm.30017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 12/10/2023] [Accepted: 01/08/2024] [Indexed: 01/23/2024]
Abstract
PURPOSE Measure the changes in relative lung water density (rLWD), lung volume, and total lung water content as a function of time after supine body positioning. METHODS An efficient ultrashort-TE pulse sequence with a yarnball k-space trajectory was used to measure water density-weighted lung images for 25 min following supine body positioning (free breathing, 74-s acquisitions, 3D images at functional residual capacity, 18 time points) in 9 healthy volunteers. Global and regional (10 chest-to-back positions) rLWD, lung volume, and total lung water volume were measured in all subjects at all time points. Volume changes were validated with a nitrogen washout study in 3 participants. RESULTS Global rLWD increased significantly (p = 0.001) from 31.8 ± 5.5% to 34.8 ± 6.8%, while lung volumes decreased significantly (p < 0.001) from 2390 ± 620 mL to 2130 ± 630 mL over the same 25-min interval. Total lung water volume decreased slightly from 730 ± 125 mL to 706 ± 126 mL (p = 0.028). There was a significant chest-to-back gradient in rLWD (20.7 ± 4.6% to 39.9 ± 6.1%) at all time points with absolute increases of 1.8 ± 1.2% at the chest and 5.4 ± 1.9% at the back. Nitrogen washout studies yielded a similar reduction in lung volume (12.5 ± 0.9%) and time course following supine positioning. CONCLUSION Lung volumes during tidal breathing decrease significantly over tens of minutes following supine body positioning, with corresponding increases in lung water density (9.2 ± 4.4% relative increase). The total volume of lung water is slightly reduced over this interval (3.3 ± 4.0% relative change). Evaluation of rLWD should take time after supine positioning, and more generally, all sources of lung volume changes should be taken into consideration to avoid significant bias.
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Affiliation(s)
- Thomas Goodhart
- Department of Biomedical Engineering, University of Alberta, Edmonton, Alberta, Canada
| | - Peter Seres
- Department of Biomedical Engineering, University of Alberta, Edmonton, Alberta, Canada
| | - Justin Grenier
- Department of Biomedical Engineering, University of Alberta, Edmonton, Alberta, Canada
| | - Christopher Keen
- Department of Biomedical Engineering, University of Alberta, Edmonton, Alberta, Canada
| | - Rob Stobbe
- Department of Biomedical Engineering, University of Alberta, Edmonton, Alberta, Canada
| | - Richard B Thompson
- Department of Biomedical Engineering, University of Alberta, Edmonton, Alberta, Canada
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17
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Jidal M, Horache K, Achemlal A, Saouab R, El Fenni J. Transgastric migration of retained intraabdominal surgical sponge: Gossypiboma in the fundus. Radiol Case Rep 2024; 19:2452-2456. [PMID: 38585404 PMCID: PMC10997863 DOI: 10.1016/j.radcr.2024.02.104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2024] [Revised: 02/27/2024] [Accepted: 02/28/2024] [Indexed: 04/09/2024] Open
Abstract
The retention of a surgical sponge is a rare complication that presents diagnostic challenges and carries the risk of potential complications. Two distinct foreign body reactions, fibrinous, and exudative, can result in the formation of a granuloma (known as gossypiboma) or lead to complications such as abscess formation and migration into the gastrointestinal tract. In this report, we present the case of a 33-year-old woman with a history of splenectomy who presented with symptoms including epigastric pain, vomiting, and episodes of hematemesis. Imaging studies, including computed tomography and magnetic resonance imaging, revealed a mass consistent with a gossypiboma that had migrated transmurally into the stomach. The diagnosis was subsequently confirmed through gastroscopy, and successful endoscopic removal of the retained surgical sponge was performed.
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Affiliation(s)
- Manal Jidal
- Radiology department, Mohammed V military hospital of Rabat, Rabat, Morocco
| | - Kenza Horache
- Radiology department, Mohammed V military hospital of Rabat, Rabat, Morocco
| | - Amine Achemlal
- Gastroenterology department, Mohammed V military hospital of Rabat, Rabat, Morocco
| | - Rachida Saouab
- Radiology department, Mohammed V military hospital of Rabat, Rabat, Morocco
| | - Jamal El Fenni
- Radiology department, Mohammed V military hospital of Rabat, Rabat, Morocco
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18
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Skinner C, Allavena R, Hoffmann K, Kelly-Bosma M, Kidd S, Thomson C. Disseminated Rasamsonia argillacea complex infection presenting as intraventricular brain hemorrhage in a German shepherd dog in Australia. Med Mycol Case Rep 2024; 44:100641. [PMID: 38516609 PMCID: PMC10955049 DOI: 10.1016/j.mmcr.2024.100641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 03/01/2024] [Indexed: 03/23/2024] Open
Abstract
A German Shepherd Dog diagnosed with Rasamsonia argillacea based on fungal culture and DNA sequencing, is the first documented case in Australia, and the Southern Hemisphere. This species is part of R. argillacea complex, which is an emerging concern in immunocompromised human and veterinary patients. Intraventricular brain hemorrhage, noted on MRI, has not been reported previously in a dog with fungal encephalitis. The patient was euthanized due to progression of clinical signs before a final diagnosis was made, so no treatment was attempted in this case.
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Affiliation(s)
- Christopher Skinner
- Animal Referral Hospital, 532 Seventeen Mile Rocks Road, Sinammon Park QLD 4073, Australia
| | - Rachel Allavena
- School of Veterinary Science, The University of Queensland, Gatton Campus, Gatton QLD 4343, Australia
| | | | - Mirrim Kelly-Bosma
- School of Veterinary Science, The University of Queensland, Gatton Campus, Gatton QLD 4343, Australia
| | - Sarah Kidd
- National Mycology Reference Centre, Microbiology and Infectious Diseases, SA Pathology, Frome Road, Adelaide SA 5000, Australia
| | - Christine Thomson
- Animal Referral Hospital, 532 Seventeen Mile Rocks Road, Sinammon Park QLD 4073, Australia
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19
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Mathai TS, Shen TC, Elton DC, Lee S, Lu Z, Summers RM. Detection of abdominopelvic lymph nodes in multi-parametric MRI. Comput Med Imaging Graph 2024; 114:102363. [PMID: 38447381 PMCID: PMC10981570 DOI: 10.1016/j.compmedimag.2024.102363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Revised: 02/16/2024] [Accepted: 02/17/2024] [Indexed: 03/08/2024]
Abstract
Reliable localization of lymph nodes (LNs) in multi-parametric MRI (mpMRI) studies plays a major role in the assessment of lymphadenopathy and staging of metastatic disease. Radiologists routinely measure the nodal size in order to distinguish benign from malignant nodes, which require subsequent cancer staging. However, identification of lymph nodes is a cumbersome task due to their myriad appearances in mpMRI studies. Multiple sequences are acquired in mpMRI studies, including T2 fat suppressed (T2FS) and diffusion weighted imaging (DWI) sequences among others; consequently, the sizing of LNs is rendered challenging due to the variety of signal intensities in these sequences. Furthermore, radiologists can miss potentially metastatic LNs during a busy clinical day. To lighten these imaging and workflow challenges, we propose a computer-aided detection (CAD) pipeline to detect both benign and malignant LNs in the body for their subsequent measurement. We employed the recently proposed Dynamic Head (DyHead) neural network to detect LNs in mpMRI studies that were acquired using a variety of scanners and exam protocols. The T2FS and DWI series were co-registered, and a selective augmentation technique called Intra-Label LISA (ILL) was used to blend the two volumes with the interpolation factor drawn from a Beta distribution. In this way, ILL diversified the samples that the model encountered during the training phase, while the requirement for both sequences to be present at test time was nullified. Our results showed a mean average precision (mAP) of 53.5% and a sensitivity of ∼78% with ILL at 4 FP/vol. This corresponded to an improvement of ≥10% in mAP and ≥12% in sensitivity at 4FP (p ¡ 0.05) respectively over current LN detection approaches evaluated on the same dataset. We also established the out-of-distribution robustness of the DyHead model by training it on data acquired by a Siemens Aera scanner and testing it on data from the Siemens Verio, Siemens Biograph mMR, and Philips Achieva scanners. Our pilot work represents an important first step towards automated detection, segmentation, and classification of lymph nodes in mpMRI.
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Affiliation(s)
- Tejas Sudharshan Mathai
- Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, USA.
| | - Thomas C Shen
- Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, USA
| | - Daniel C Elton
- Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, USA
| | - Sungwon Lee
- Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, USA
| | - Zhiyong Lu
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, USA
| | - Ronald M Summers
- Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, USA
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20
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Sato VN, Moriwaki TL, do Amaral E Castro A, da Rocha Correa Fernandes A, Guimaraes JB. Capsular and retinaculum thickening in type II mucopolysaccharidosis: a novel MRI finding. Skeletal Radiol 2024; 53:1211-1217. [PMID: 37930378 DOI: 10.1007/s00256-023-04499-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Revised: 10/22/2023] [Accepted: 10/23/2023] [Indexed: 11/07/2023]
Abstract
Mucopolysaccharidoses (MPS) are a group of inherited lysosomal storage diseases caused by a deficiency of glycosaminoglycan (GAG) catalytic enzymes, resulting in an accumulation of unprocessed or partly degraded GAGs in different tissues, including bones and joints. Notably, skeletal and joint abnormalities may be the first complaint that prompts patients to seek medical attention, especially in the milder forms of the disease. To our knowledge, there are no prior imaging reports that have documented capsuloligamentous thickening in patients with MPS on MRI. In this study, we present four cases of patients with clinically and genetically confirmed diagnosis of type II MPS, encompassing seven MRI examination of different joints, including cervical spine, hip, wrist, knee, and shoulder. All of the patients were male, aged between 14 and 35 years, and exhibited varying degrees of joint stiffness in the clinical examination and carpal tunnel syndrome in cases of the wrist joint was affected. None of the patients had a history of surgical procedures on the affected joint, other metabolic or deposit diseases, or sports activity practice. The MRI revealed significant capsuloligamentous and retinaculum thickening, up to eight times greater than the normal capsular thickness reported in the literature.
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Affiliation(s)
- Vitor Neves Sato
- Department of Radiology, Escola Paulista de Medicina/Universidade Federal de São Paulo (UNIFESP), Rua Napoleão de Barros, 800 - Vila Clementino, São Paulo, SP, 04024-002, Brazil.
- Division of Musculoskeletal Radiology, Diagnóstico das Américas (DASA), São Paulo, SP, Brazil.
- Department of Radiology, Hospital Do Coração (HCor) and Teleimagem, São Paulo, SP, Brazil.
| | - Tatiane Lumi Moriwaki
- Department of Radiology, Escola Paulista de Medicina/Universidade Federal de São Paulo (UNIFESP), Rua Napoleão de Barros, 800 - Vila Clementino, São Paulo, SP, 04024-002, Brazil
- Division of Musculoskeletal Radiology, Diagnóstico das Américas (DASA), São Paulo, SP, Brazil
| | - Adham do Amaral E Castro
- Department of Radiology, Escola Paulista de Medicina/Universidade Federal de São Paulo (UNIFESP), Rua Napoleão de Barros, 800 - Vila Clementino, São Paulo, SP, 04024-002, Brazil
- Department of Radiology, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil
| | - Artur da Rocha Correa Fernandes
- Department of Radiology, Escola Paulista de Medicina/Universidade Federal de São Paulo (UNIFESP), Rua Napoleão de Barros, 800 - Vila Clementino, São Paulo, SP, 04024-002, Brazil
- Radiology Department - Grupo de Radiologia e Diagnóstico por Imagem da Rede D'or, São Paulo, SP, Brazil
| | - Julio Brandao Guimaraes
- Department of Radiology, Escola Paulista de Medicina/Universidade Federal de São Paulo (UNIFESP), Rua Napoleão de Barros, 800 - Vila Clementino, São Paulo, SP, 04024-002, Brazil
- Department of Musculoskeletal Radiology, Fleury Medicina E Saúde, São Paulo, SP, Brazil
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21
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Endo Y, Nwawka OK, Sneag DB. Iatrogenic "overshoot" nerve injuries: imaging features. Skeletal Radiol 2024; 53:1173-1181. [PMID: 38165469 DOI: 10.1007/s00256-023-04550-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 12/05/2023] [Accepted: 12/14/2023] [Indexed: 01/03/2024]
Abstract
OBJECTIVE Describe features of iatrogenic "overshoot" nerve injuries on ultrasound and MRI, which occur when an instrument passes through the bone and injures the nerve after it penetrates the opposite cortex. MATERIALS AND METHODS After a keyword search of the radiology database at a tertiary care orthopedic hospital from January 2016 to December 2022, those fulfilling the inclusion criteria of (1) instrumentation through the bone during surgery, (2) acute neuropathy immediately after surgery, (3) nerve injury confirmed on electrodiagnostics, and (4) imaging consistent with overshoot nerve injury were included. Imaging studies were retrospectively evaluated to determine primary and secondary signs of an overshoot nerve injury. RESULTS Six patients (3 females, mean age 26.7 (range 10-49) years) had nerve injury fitting the mechanism of injury: 3 injuries to the radial nerve during fixation of distal humerus fractures, 1 tibial nerve and 1 superficial peroneal nerve injury during fixation of tibial fractures, and 1 posterior interosseous nerve injury during biceps tendon repair. Ultrasounds were performed in all while 4 also had MRI. Secondary signs included (1) cortical defect adjacent to injured nerve (n=2); (2) scar extending from bone to injured nerve (n=2); (3) screw tip pointing to injured nerve (n=1, 4) tract in bone on MRI from previous instrumentation pointing to injured nerve (n=2). CONCLUSION In addition to primary signs such as laceration or neuroma, secondary signs of "overshoot" nerve injury include cortical defect, scar extending to nerve, screw tip pointing to nerve, and linear tract in the bone on MRI.
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Affiliation(s)
- Yoshimi Endo
- Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY, USA.
| | - Ogonna K Nwawka
- Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY, USA
| | - Darryl B Sneag
- Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY, USA
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22
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Goitein Inbar T, Lidar M, Eshed I. The value of a repeat MRI examination of the sacroiliac joints following an inconclusive initial examination. Skeletal Radiol 2024; 53:1183-1190. [PMID: 38196026 DOI: 10.1007/s00256-024-04561-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 12/30/2023] [Accepted: 01/02/2024] [Indexed: 01/11/2024]
Abstract
OBJECTIVE Assess the diagnostic utility of repeat sacroiliac joint (SIJ) magnetic resonance imaging (MRI) examinations following an inconclusive initial examination performed for suspected sacroiliitis. METHOD Subjects with > 1 SIJ MRI examinations, an inconclusive first scan and at least 6 months interval between scans, were included. All scans were evaluated for the presence of structural/active SIJ lesions as well as any other pathology. Clinical data was extracted from the patients' clinical files, and any missing data was obtained by a telephone interview. Diagnosis and active/structural scores were compared between first and follow-up examinations (t test). RESULTS Seventy-one subjects were included in the study, 77.4% females, mean age 41.0 ± 15 years, mean time interval between exams 30.4 ± 25.24 months. Twelve subjects performed > 2 scans. In only two subjects (2.81%), both females, MRI diagnosis changed from inconclusive to definite sacroiliitis. None of the subjects with > 2 scans had evidence of sacroiliitis in any of the following MRI examinations. Significant differences were observed between the scores of active SIJ lesion of the first and follow-up MRI (1.51/1.62, p = 0.02) but not for scores of structural lesions (1.22/1.68, p = 0.2). CONCLUSIONS Repeat SIJ MRI when the first MRI is inconclusive for sacroiliitis is more valuable in ruling out than in securing diagnosis of sacroiliitis. We suggest that when MRI findings are inconclusive, decision-making should be based on clinical data.
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Affiliation(s)
- Tamar Goitein Inbar
- The Goldman School of Medicine, Ben Gurion University of the Negev Affiliated With the Soroka Medical Center, Beersheba, Israel
| | - Merav Lidar
- Rheumatology Unit, Sheba Medical Center Affiliated with the School of Medicine, Tel Aviv University, Tel Hashomer, Israel
| | - Iris Eshed
- Department of Diagnostic Imaging, Sheba Medical Center affiliated with the, School of Medicine, Tel Aviv University, Tel Hashomer, 5265601, Tel Aviv, Israel.
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23
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Rodriguez-Ayllon M, Neumann A, Hofman A, Vernooij MW, Neitzel J. The bidirectional relationship between brain structure and physical activity: A longitudinal analysis in the UK Biobank. Neurobiol Aging 2024; 138:1-9. [PMID: 38460471 DOI: 10.1016/j.neurobiolaging.2024.03.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 02/19/2024] [Accepted: 03/01/2024] [Indexed: 03/11/2024]
Abstract
Physical activity is a protective factor against brain atrophy, while loss of brain volume could also be a determinant of physical activity. Therefore, we aimed to explore the bidirectional association of physical activity with brain structures in middle-aged and older adults from the UK Biobank. Overall, 3027 participants (62.45 ± 7.27 years old, 51.3% females) had data at two time points. Hippocampal volume was associated with total (β=0.048, pFDR=0.016) and household (β=0.075, pFDR<0.001) physical activity. Global fractional anisotropy (β=0.042, pFDR=0.028) was also associated with household physical activity. In the opposite direction, walking was negatively associated with white matter volume (β=-0.026, pFDR=0.008). All these associations were confirmed by the linear mixed models. Interestingly, sports at baseline were linked to hippocampal and frontal cortex volumes at follow-up but these associations disappeared after adjusting for multiple comparisons (pall>0.104). In conclusion, we found more consistent evidence that a healthier brain structure predicted higher physical activity levels than for the inverse, more established relationship.
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Affiliation(s)
- María Rodriguez-Ayllon
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Alexander Neumann
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Amy Hofman
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Meike W Vernooij
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center Rotterdam, the Netherlands.
| | - Julia Neitzel
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center Rotterdam, the Netherlands; Department of Epidemiology, Harvard T.H Chan School of Public Health, Boston, MA, United States
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24
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Hong S, Choi Y, Lee MB, Rhee HY, Park S, Ryu CW, Cho AR, Kwon OI, Jahng GH. Increased extra-neurite conductivity of brain in patients with Alzheimer's disease: A pilot study. Psychiatry Res Neuroimaging 2024; 340:111807. [PMID: 38520873 DOI: 10.1016/j.pscychresns.2024.111807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 01/31/2024] [Accepted: 03/03/2024] [Indexed: 03/25/2024]
Abstract
The objectives of this study were to investigate how the extra-neurite conductivity (EC) and intra-neurite conductivity (IC) were reflected in Alzheimer's disease (AD) patients compared with old cognitively normal (CN) people and patients with amnestic mild cognitive impairment (MCI) and to evaluate the association between those conductivity values and cognitive decline. To do this, high-frequency conductivity (HFC) at the Larmor frequency was obtained using MRI-based electrical property tomography (MREPT) and was decomposed into EC and IC using information of multi-shell multi-gradient direction diffusion tensor images. This prospective single-center study included 20 patients with mild or moderate AD, 25 patients with amnestic MCI, and 21 old CN participants. After decomposing EC and IC from HFC for all participants, we performed voxel-based and regions-of-interest analyses to compare conductivity between the three participant groups and to evaluate the association with either age or the Mini-Mental State Examination (MMSE) scores. We found increased EC in AD compared to CN and MCI. EC was significantly negatively associated with MMSE scores in the insula, and middle temporal gyrus. EC might be used as an imaging biomarker for helping to monitor cognitive function.
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Affiliation(s)
- Seowon Hong
- Department of Radiology, Kyung Hee University Hospital at Gangdong, 892 Dongnam-ro, Gangdong-Gu, Seoul 05278, Republic of Korea
| | - Yunjeong Choi
- Department of Biomedical Engineering, Undergraduate School, College of Electronics and Information, Kyung Hee University, 1732 Deogyeong-daero, Giheung-gu, Yongin-si, Gyeonggi-do 17104, Republic of Korea
| | - Mun Bae Lee
- Department of Mathematics, College of Basic Science, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Republic of Korea
| | - Hak Young Rhee
- Department of Neurology, Kyung Hee University Hospital at Gangdong, 892 Dongnam-ro, Gangdong-Gu, Seoul 05278, Republic of Korea; Department of Medicine, Kyung Hee University College of Medicine, 26 Kyung Hee Dae-ro, Dongdaemun-gu, Seoul 02447, Republic of Korea
| | - Soonchan Park
- Department of Radiology, Kyung Hee University Hospital at Gangdong, 892 Dongnam-ro, Gangdong-Gu, Seoul 05278, Republic of Korea; Department of Medicine, Kyung Hee University College of Medicine, 26 Kyung Hee Dae-ro, Dongdaemun-gu, Seoul 02447, Republic of Korea
| | - Chang-Woo Ryu
- Department of Radiology, Kyung Hee University Hospital at Gangdong, 892 Dongnam-ro, Gangdong-Gu, Seoul 05278, Republic of Korea; Department of Medicine, Kyung Hee University College of Medicine, 26 Kyung Hee Dae-ro, Dongdaemun-gu, Seoul 02447, Republic of Korea
| | - Ah Rang Cho
- Department of Medicine, Kyung Hee University College of Medicine, 26 Kyung Hee Dae-ro, Dongdaemun-gu, Seoul 02447, Republic of Korea; Department of Psychiatry, Kyung Hee University Hospital at Gangdong, 892 Dongnam-ro, Gangdong-Gu, Seoul 05278, Republic of Korea
| | - Oh In Kwon
- Department of Mathematics, College of Basic Science, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Republic of Korea.
| | - Geon-Ho Jahng
- Department of Radiology, Kyung Hee University Hospital at Gangdong, 892 Dongnam-ro, Gangdong-Gu, Seoul 05278, Republic of Korea; Department of Medicine, Kyung Hee University College of Medicine, 26 Kyung Hee Dae-ro, Dongdaemun-gu, Seoul 02447, Republic of Korea.
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25
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Bieri O, Weidensteiner C, Ganter C. Robust T 2 estimation with balanced steady state free precession. Magn Reson Med 2024; 91:2257-2265. [PMID: 38411351 DOI: 10.1002/mrm.30037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 01/12/2024] [Accepted: 01/15/2024] [Indexed: 02/28/2024]
Abstract
PURPOSE To develop a novel signal representation for balanced steady state free precession (bSSFP) displaying its T2 independence on B1 and on magnetization transfer (MT) effects. METHODS A signal model for bSSFP is developed that shows only an explicit dependence (up to a scaling factor) on E2 (and, therefore, T2) and a novel parameter c (with implicit dependence on the flip angle and E1). Moreover, it is shown that MT effects, entering the bSSFP signal via a binary spin bath model, can be captured by a redefinition of T1 and, therefore, leading to modification of E1, resulting in the same signal model. Various sets of phase-cycled bSSFP brain scans (different flip angles, different TR, different RF pulse durations, and different number of phase cycles) were recorded at 3 T. The parameters T2 (E2) and c were estimated using a variable projection (VARPRO) method and Monte-Carlo simulations were performed to assess T2 estimation precision. RESULTS Initial experiments confirmed the expected independence of T2 on various protocol settings, such as TR, the flip angle, B1 field inhomogeneity, and the RF pulse duration. Any variation (within the explored range) appears to directly affect the estimation of the parameter c only-in agreement with theory. CONCLUSION BSSFP theory predicts an extraordinary feature that all MT and B1-related variational aspects do not enter T2 estimation, making it a potentially robust methodology for T2 quantification, pending validation against existing standards.
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Affiliation(s)
- Oliver Bieri
- Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland
- Department of Radiology, Division of Radiological Physics, University Hospital Basel, Basel, Switzerland
| | - Claudia Weidensteiner
- Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland
- Department of Radiology, Division of Radiological Physics, University Hospital Basel, Basel, Switzerland
| | - Carl Ganter
- Department of Radiology, Klinikum rechts der Isar, Technical University Munich, Munich, Germany
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26
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Benabderrazik B, Lahnine G, Akammar A, Bouardi NE, Alami B, Lamrani YMA, Maaroufi M, Boubbou M, Haloua M. Benign and malignant prolapsed uterine tumors : 4 case reports of an extremely rare entities. Radiol Case Rep 2024; 19:2143-2150. [PMID: 38645533 PMCID: PMC11026922 DOI: 10.1016/j.radcr.2024.02.072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Revised: 02/15/2024] [Accepted: 02/20/2024] [Indexed: 04/23/2024] Open
Abstract
Prolapsed uterine tumors within the cervix or vagina, are attached to the uterine cavity by a soft tissue stalk. Malignant tumors and leiomyoma are the first diagnostic considerations for a prolapsed uterine mass with a visible stalk at MRI. This article describes 4 cases of patients who presented with large, necrotic prolapsed uterine tumors that were surgically confirmed and were diagnosed prospectively on the basis of MRI findings. Imaging, particularly MRI, plays a crucial role in the management of patients with prolapsed pedunculated uterine tumors, especially for pre-operative localization and surgical treatment. The 4 patients underwent a total hysterectomy with a complete resection of the mass. The histopathological report confirmed in the first case the diagnosis of a uterine leiomyoma with aseptic necrobiosis, in the second and third cases a sarcoma, and in the fourth case a serous adenocarcinoma.
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Affiliation(s)
- Btissam Benabderrazik
- Mother and child radiology department, University of Sidi Mohamed Ben Abdellah, CHU Hassan II, Fes, Morocco
| | - Ghita Lahnine
- Mother and child radiology department, University of Sidi Mohamed Ben Abdellah, CHU Hassan II, Fes, Morocco
| | - Amal Akammar
- Mother and child radiology department, University of Sidi Mohamed Ben Abdellah, CHU Hassan II, Fes, Morocco
| | - Nizar El Bouardi
- Central radiology department, University of Sidi Mohamed Ben Abdellah, CHU Hassan II, Fes, Morocco
| | - Badreddine Alami
- Central radiology department, University of Sidi Mohamed Ben Abdellah, CHU Hassan II, Fes, Morocco
| | | | - Mustapha Maaroufi
- Central radiology department, University of Sidi Mohamed Ben Abdellah, CHU Hassan II, Fes, Morocco
| | - Meryem Boubbou
- Mother and child radiology department, University of Sidi Mohamed Ben Abdellah, CHU Hassan II, Fes, Morocco
| | - Meriem Haloua
- Mother and child radiology department, University of Sidi Mohamed Ben Abdellah, CHU Hassan II, Fes, Morocco
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27
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Tran CV, Yang HR, Ahmad ZY, Utukuri PS, Quarterman P, Fung M, Lignelli A, Wong TT. Utility of Zero-Echo time sequence as an adjunct for MR evaluation of degenerative disease in the cervical spine. Skeletal Radiol 2024; 53:899-908. [PMID: 37945769 DOI: 10.1007/s00256-023-04507-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 10/31/2023] [Accepted: 10/31/2023] [Indexed: 11/12/2023]
Abstract
OBJECTIVE Determine the utility of ZTE as an adjunct to routine MR for assessing degenerative disease in the cervical spine. METHODS Retrospective study on 42 patients with cervical MR performed with ZTE from 1/1/2022 to 4/30/22. Fellowship trained radiologists evaluated each cervical disc level for neural foraminal (NF) narrowing, canal stenosis (CS), facet arthritis (FA), and presence of ossification of the posterior longitudinal ligament (OPLL). When NF narrowing and CS were present, the relative contributions of bone and soft disc were determined and a confidence level for doing so was assigned. Comparisons were made between assessments on routine MR without and with ZTE. RESULTS With ZTE added, bone contribution as a cause of NF narrowing increased in 47% (n = 110) of neural foramina and decreased in 12% (n = 29) (p = < 0.001). Bone contribution as a cause of CS increased in 25% (n = 33) of disc levels and decreased in 10% (n = 13) (p = 0.013). Confidence increased in identifying the cause of NF narrowing (p = < 0.001)) and CS (p = 0.009) with ZTE. The cause of NF narrowing (p = 0.007) and CS (p = 0.041) changed more frequently after ZTE was added when initial confidence in making the determination was low. There was no change in detection of FA or presence of OPLL with ZTE. CONCLUSION Addition of ZTE to a routine cervical spine MR changes the assessment of the degree of bone involvement in degenerative cervical spine pathology.
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Affiliation(s)
- Clement Vinh Tran
- Department of Radiology, Division of Musculoskeletal Radiology, NewYork-Presbyterian Hospital - Columbia University Medical Center, New York, NY, USA
| | - Hye Ryung Yang
- Department of Radiology, Division of Musculoskeletal Radiology, NewYork-Presbyterian Hospital - Columbia University Medical Center, New York, NY, USA
| | - Zohaib Y Ahmad
- Department of Radiology, Division of Musculoskeletal Radiology, NewYork-Presbyterian Hospital - Columbia University Medical Center, New York, NY, USA
| | - Pallavi S Utukuri
- Department of Radiology, Division of Neuroradiology, NewYork-Presbyterian Hospital - Columbia University Medical Center, New York, NY, USA
| | | | - Maggie Fung
- New York, NY General Electric (GE) Healthcare, New York, NY, USA
| | - Angela Lignelli
- Department of Radiology, Division of Neuroradiology, NewYork-Presbyterian Hospital - Columbia University Medical Center, New York, NY, USA
| | - Tony T Wong
- Department of Radiology, Division of Musculoskeletal Radiology, NewYork-Presbyterian Hospital - Columbia University Medical Center, New York, NY, USA.
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28
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Mohammadi S, Ghaderi S. Post-COVID-19 conditions: a systematic review on advanced magnetic resonance neuroimaging findings. Neurol Sci 2024; 45:1815-1833. [PMID: 38421524 DOI: 10.1007/s10072-024-07427-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 02/23/2024] [Indexed: 03/02/2024]
Abstract
Post-COVID conditions (PCCs) cover a wide spectrum of lingering symptoms experienced by survivors of coronavirus disease 2019 (COVID-19). Neurological and neuropsychiatric sequelae are common in PCCs. Advanced magnetic resonance imaging (MRI) techniques can reveal subtle alterations in brain structure, function, and perfusion that underlie these sequelae. This systematic review aimed to synthesize findings from studies that used advanced MRI to characterize brain changes in individuals with PCCs. A detailed literature search was conducted in the PubMed and Scopus databases to identify relevant studies that used advanced MRI modalities, such as structural MRI (sMRI), diffusion tensor imaging (DTI), functional MRI (fMRI), and perfusion-weighted imaging (PWI), to evaluate brain changes in PCCs. Twenty-five studies met the inclusion criteria, comprising 1219 participants with PCCs. The most consistent findings from sMRI were reduced gray matter volume (GMV) and cortical thickness (CTh) in cortical and subcortical regions. DTI frequently reveals increased mean diffusivity (MD), radial diffusivity (RD), and decreased fractional anisotropy (FA) in white matter tracts (WMTs) such as the corpus callosum, corona radiata, and superior longitudinal fasciculus. fMRI demonstrated altered functional connectivity (FC) within the default mode, salience, frontoparietal, somatomotor, subcortical, and cerebellar networks. PWI showed decreased cerebral blood flow (CBF) in the frontotemporal area, thalamus, and basal ganglia. Advanced MRI shows changes in the brain networks and regions of the PCCs, which may cause neurological and neuropsychiatric problems. Multimodal neuroimaging may help understand brain-behavior relationships. Longitudinal studies are necessary to better understand the progression of these brain anomalies.
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Affiliation(s)
- Sana Mohammadi
- Department of Medical Sciences, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Sadegh Ghaderi
- Department of Neuroscience and Addiction Studies, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran.
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29
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Esquivel MFD, Gupta N, O'Brien CA, Bijelić V, Barrowman N, Wilson N, Tu A. Natural history of Chiari I malformation with syrinx and dilatation of the central canal in the pediatric population: the CHEO experience. Childs Nerv Syst 2024; 40:1443-1448. [PMID: 38214745 DOI: 10.1007/s00381-023-06273-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 12/27/2023] [Indexed: 01/13/2024]
Abstract
PURPOSE Given that syrinx is often considered an indication of surgery in children with Chiari I malformation (CM1), understanding of the natural history of these patients is very challenging. In this study, we investigate the natural history of children with CM1 that have syrinx and/or prominence of the central canal on presentation. METHODS All pediatric Chiari I patients who had syrinx and/or prominence of the central canal who underwent MR imaging of the head and spine from 2007 to 2020 were reviewed. Patients were divided into 3 groups (early surgery, delayed surgery, and conservative management). We focused on those patients who did not initially undergo surgery and had at least 1 year of clinical follow-up. We assessed if there were any radiological features that would correlate with need for delayed surgical intervention. RESULTS Thirty-seven patients met the inclusion criteria. Twenty-one patients were female and 16 were male. The mean age at presentation was 8.7 (5.8 SD). Fourteen (38%) patients had early surgical intervention, with a mean of 2.5 months after initial presentation, 8 (16%) had delayed surgery due to new or progressive neurological symptoms and 46% of patients did not require intervention during follow-up. The length of tonsillar herniation and the position of the obex were associated with the need of surgery in patients who were initially treated conservatively. CONCLUSION In pediatric patients with CM1 with syringomyelia and prominence of the central canal, conservative treatment is initially appropriate when symptoms are absent or mild. Close follow-up of patients with CM1 and dilatation of the central canal who have an obex position below the foramen magnum and greater tonsillar herniation is suggested, as these patients show a trend towards clinical deterioration over time and may require earlier surgical intervention.
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Affiliation(s)
| | - Neetika Gupta
- Department of Medical Imaging, CHEO, University of Ottawa, Ottawa, ON, Canada
| | | | - Vid Bijelić
- CHEO Research Institute, CHEO, University of Ottawa, Ottawa, ON, Canada
| | - Nick Barrowman
- CHEO Research Institute, CHEO, University of Ottawa, Ottawa, ON, Canada
| | - Nagwa Wilson
- Department of Medical Imaging, CHEO, University of Ottawa, Ottawa, ON, Canada
| | - Albert Tu
- Department of Neurosurgery, CHEO, University of Ottawa, Ottawa, ON, Canada
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30
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Alzain AF. A case report of a neonate with Arnold Chiari II malformation. Radiol Case Rep 2024; 19:1872-1875. [PMID: 38434787 PMCID: PMC10905958 DOI: 10.1016/j.radcr.2024.01.061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 01/19/2024] [Accepted: 01/21/2024] [Indexed: 03/05/2024] Open
Abstract
Chiari malformations are structural defects in the cerebellum that are characterized by the downward displacement of one or both cerebellar tonsils through the foramen magnum. A case report of a female neonate with clinical features of Chiari II malformation is presented. The diagnosis of this condition was made through a combination of clinical and radiological features. In this case, the diagnosis was confirmed by a noncontrast computed tomography (CT) scan of the brain and multiplanar brain magnetic resonance imaging (MRI).
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Affiliation(s)
- Amel F.H. Alzain
- Department of Diagnostic Radiology Technology, College of Applied Medical Sciences, Taibah University, Almadinah Almunawwarah, Saudi Arabia
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31
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Hoyniak CP, Whalen DJ, Luby JL, Barch DM, Miller JP, Zhao P, Triplett RL, Ju YE, Smyser CD, Warner B, Rogers CE, Herzog ED, England SK. Sleep and circadian rhythms during pregnancy, social disadvantage, and alterations in brain development in neonates. Dev Sci 2024; 27:e13456. [PMID: 37902111 PMCID: PMC10997484 DOI: 10.1111/desc.13456] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 09/26/2023] [Accepted: 10/02/2023] [Indexed: 10/31/2023]
Abstract
Pregnant women in poverty may be especially likely to experience sleep and circadian rhythm disturbances, which may have downstream effects on fetal neurodevelopment. However, the associations between sleep and circadian rhythm disturbances, social disadvantage during pregnancy, and neonatal brain structure remains poorly understood. The current study explored the association between maternal sleep and circadian rhythm disturbances during pregnancy and neonatal brain outcomes, examining sleep and circadian rhythm disturbances as a mediator of the effect of social disadvantage during pregnancy on infant structural brain outcomes. The study included 148 mother-infant dyads, recruited during early pregnancy, who had both actigraphy and neuroimaging data. Mothers' sleep was assessed throughout their pregnancy using actigraphy, and neonates underwent brain magnetic resonance imaging in the first weeks of life. Neonatal structural brain outcomes included cortical gray matter, subcortical gray matter, and white matter volumes along with a measure of the total surface area of the cortex. Neonates of mothers who experienced greater inter-daily deviations in sleep duration had smaller total cortical gray and white matter volumes and reduced cortical surface areas. Neonates of mothers who had higher levels of circadian misalignment and later sleep timing during pregnancy showed smaller subcortical gray matter volumes. Inter-daily deviations in sleep duration during pregnancy mediated the association between maternal social disadvantage and neonatal structural brain outcomes. Findings highlight the importance of regularity and rhythmicity in sleep schedules during pregnancy and bring to light the role of chronodisruption as a potential mechanism underlying the deleterious neurodevelopmental effects of prenatal adversity. RESEARCH HIGHLIGHTS: Social disadvantage was associated with sleep and circadian rhythm disturbances during pregnancy, including later sleep schedules, increased variability in sleep duration, circadian misalignment, and a higher proportion of the sleep period spent awake. Maternal sleep and circadian rhythm disturbances during pregnancy were associated with decreased brain volume and reduced cortical surface area in neonates. Maternal inter-daily deviations in sleep duration during pregnancy mediated the association between social disadvantage and neonatal brain volume and cortical surface area.
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Affiliation(s)
- Caroline P Hoyniak
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St Louis, USA
- Center on Biological Rhythms and Sleep, Washington University School of Medicine in St. Louis, St Louis, USA
| | - Diana J Whalen
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St Louis, USA
- Center on Biological Rhythms and Sleep, Washington University School of Medicine in St. Louis, St Louis, USA
| | - Joan L Luby
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St Louis, USA
- Center on Biological Rhythms and Sleep, Washington University School of Medicine in St. Louis, St Louis, USA
| | - Deanna M Barch
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St Louis, USA
- The Program in Neuroscience, Washington University in St. Louis, St Louis, USA
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St Louis, USA
- Department of Radiology, Washington University School of Medicine in St. Louis, St Louis, USA
| | - J Philip Miller
- Department of Biostatistics, Washington University in St. Louis, St Louis, USA
| | - Peinan Zhao
- Department of Obstetrics and Gynecology, Washington University School of Medicine in St. Louis, St Louis, USA
| | - Regina L Triplett
- Department of Neurology, Washington University School of Medicine in St. Louis, St Louis, USA
| | - Yo-El Ju
- Center on Biological Rhythms and Sleep, Washington University School of Medicine in St. Louis, St Louis, USA
- Department of Neurology, Washington University School of Medicine in St. Louis, St Louis, USA
| | - Christopher D Smyser
- Department of Radiology, Washington University School of Medicine in St. Louis, St Louis, USA
- Department of Neurology, Washington University School of Medicine in St. Louis, St Louis, USA
- Department of Pediatrics, Washington University School of Medicine in St. Louis, St Louis, USA
| | - Barbara Warner
- Department of Pediatrics, Washington University School of Medicine in St. Louis, St Louis, USA
| | - Cynthia E Rogers
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St Louis, USA
- Department of Pediatrics, Washington University School of Medicine in St. Louis, St Louis, USA
| | - Erik D Herzog
- Center on Biological Rhythms and Sleep, Washington University School of Medicine in St. Louis, St Louis, USA
- Department of Biology, Washington University in St. Louis, St Louis, USA
| | - Sarah K England
- Center on Biological Rhythms and Sleep, Washington University School of Medicine in St. Louis, St Louis, USA
- Department of Obstetrics and Gynecology, Washington University School of Medicine in St. Louis, St Louis, USA
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Branstetter BF, Hampton ED. Rate of metallic foreign bodies found on orbital radiographs prior to MRI. Curr Probl Diagn Radiol 2024; 53:369-371. [PMID: 38290902 DOI: 10.1067/j.cpradiol.2024.01.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Accepted: 01/16/2024] [Indexed: 02/01/2024]
Abstract
OBJECTIVE The purpose of this research is to more precisely quantify the positivity rate for conventional radiographs (CR) of the orbit performed for the purpose of pre-MR screening in patients at risk of having a radio-opaque orbital foreign body (ROFB). METHODS By review of electronic medical records, we identified 47,237 patients who had undergone orbital CR for clearance of ROFB prior to MRI. The reports from these examinations were manually reviewed, and the examinations with positive findings were re-interpreted by a CAQ-certified head and neck radiologist. The rate of ROFB found in these examinations was reported and compared to historical estimates in the literature. RESULTS 328 of the 47,237 examinations (0.69 %) were originally interpreted as positive for ROFB. Upon re-review, only 39 of the 47,237 examinations (0.083 %, 95 % CI 0.06 %-0.11 %) contained ROFB that were in locations that posed a risk to ocular or vascular structures or were in an equivocal location. Almost all of the patients with false-positive initial interpretations had been denied MRI. DISCUSSION The rate of ROFB discovered on clearance CR of the orbits prior to MRI is far less than previously estimated in the radiology literature. More conservative guidelines for MR clearance may be useful to reduce costs, mitigate imaging delays, and avoid unnecessary denial of imaging.
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Affiliation(s)
- Barton F Branstetter
- Department of Radiology, University of Pittsburgh School of Medicine, 203 Lothrop Street, EEI, Suite 700, Pittsburgh, PA 15213, United States.
| | - Erica D Hampton
- Department of Radiology, University of Colorado Anschutz Medical Campus, Denver, CO, United States
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Huang XS, Dai N, Xu JX, Xiang JY, Zheng XZ, Ke TY, Ma LY, Shi QH, Fan SF. MRI quantitative assessment of the effects of low-carbohydrate therapy on Hashimoto's thyroiditis. Endocr Connect 2024; 13:e230477. [PMID: 38552311 DOI: 10.1530/ec-23-0477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Accepted: 03/28/2024] [Indexed: 04/24/2024]
Abstract
Objective Hashimoto's thyroiditis is an inflammatory disease, and research suggests that a low-carbohydrate diet may have potential anti-inflammatory effects. This study aims to utilize Dixon-T2-weighted imaging (WI) sequence for a semi-quantitative assessment of the impact of a low-carbohydrate diet on the degree of thyroid inflammation in patients with Hashimoto's thyroiditis. Methods Forty patients with Hashimoto's thyroiditis were recruited for this study and randomly divided into two groups: one with a normal diet and the other with a low-carbohydrate diet. Antibodies against thyroid peroxidase (TPOAb) and thyroglobulin (TgAb) were measured for all participants. Additionally, thyroid water content was semi-quantitatively measured using Dixon-T2WI. The same tests and measurements were repeated for all participants after 6 months. Results After 6 months of a low-carbohydrate diet, patients with Hashimoto's thyroiditis showed a significant reduction in thyroid water content (94.84 ± 1.57% vs 93.07 ± 2.05%, P < 0.05). Concurrently, a decrease was observed in levels of TPOAb and TgAb (TPOAb: 211.30 (92.63-614.62) vs 89.45 (15.9-215.67); TgAb: 17.05 (1.47-81.64) vs 4.1 (0.51-19.42), P < 0.05). In contrast, there were no significant differences in thyroid water content or TPOAb and TgAb levels for patients with Hashimoto's thyroiditis following a normal diet after 6 months (P < 0.05). Conclusion Dixon-T2WI can quantitatively assess the degree of thyroid inflammation in patients with Hashimoto's thyroiditis. Following a low-carbohydrate diet intervention, there is a significant reduction in thyroid water content and a decrease in levels of TPOAb and TgAb. These results suggest that a low-carbohydrate diet may help alleviate inflammation in patients with Hashimoto's thyroiditis.
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Affiliation(s)
- Xiao-Shan Huang
- Department of Radiology, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
| | - Ning Dai
- Zhejiang Chinese Medical University, Hangzhou, China
| | - Jian-Xia Xu
- Department of Radiology, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
| | - Jun-Yi Xiang
- Department of Radiology, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
| | - Xiao-Zhong Zheng
- Department of Radiology, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
| | - Tian-Yu Ke
- Department of Radiology, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
| | - Lin-Ying Ma
- Department of Radiology, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
| | - Qi-Hao Shi
- Zhejiang Chinese Medical University, Hangzhou, China
| | - Shu-Feng Fan
- Department of Radiology, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
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Fujii H, Matsuki M, Hamakawa T, Toda Y, Fujii N, Masuoka S, Nakamata A, Chiba E, Ishii K, Mori H. Choroid plexus and pituitary gland hemochromatosis induced by transfusional iron overload: Two case reports. Radiol Case Rep 2024; 19:1666-1670. [PMID: 38384695 PMCID: PMC10876467 DOI: 10.1016/j.radcr.2024.01.059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2023] [Revised: 01/19/2024] [Accepted: 01/21/2024] [Indexed: 02/23/2024] Open
Abstract
Hemochromatosis is a primary or secondary pathological condition characterized by the deposition of excess iron in the body tissues, which can eventually lead to cellular damage and organ dysfunction. Although excess iron deposition in the central nervous system is rare, involvement of the choroid plexus, pituitary gland, cortical surfaces, and basal ganglia has been reported to date. This case report describes 2 cases of transfusion-induced hemochromatosis involving the choroid plexus and pituitary gland, which were diagnosed by magnetic resonance imaging (MRI). In both cases, gradient echo (GRE) sequences, such as T2 star-weighted image and susceptibility-weighted imaging demonstrated markedly low signal intensity in the choroid plexus. Furthermore, the pituitary gland showed low signal intensity on T2-weighted images in Patient 2. Because these low signal intensities were not seen prior to red blood cell transfusion, they were diagnosed with transfusion-induced hemochromatosis. Brain MRI with GRE sequences was useful in detecting iron deposition in the choroid plexus. Considering that iron deposition in the body tissues can lead to irreversible organ damage, MRI with GRE sequences should be considered for patients with suspected iron overload.
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Affiliation(s)
- Hiroyuki Fujii
- Department of Radiology, Jichi Medical University, Tochigi, Japan
| | - Mitsuru Matsuki
- Department of Pediatric Radiology, Jichi Children's Medical Center Tochigi, Japan
| | - Takefumi Hamakawa
- Department of Radiology, Faculty of Medicine, Kindai University, Osaka-Sayama, Japan
| | - Yumiko Toda
- Division of Hematology, Department of Internal Medicine, Jichi Medical University, Tochigi, Japan
| | - Nana Fujii
- Department of Radiology, Jichi Medical University, Tochigi, Japan
| | - Sota Masuoka
- Department of Radiology, Jichi Medical University, Tochigi, Japan
| | - Akihiro Nakamata
- Department of Radiology, Jichi Medical University, Tochigi, Japan
| | - Emiko Chiba
- Department of Radiology, Jichi Medical University, Tochigi, Japan
| | - Kazunari Ishii
- Department of Radiology, Faculty of Medicine, Kindai University, Osaka-Sayama, Japan
| | - Harushi Mori
- Department of Radiology, Jichi Medical University, Tochigi, Japan
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Murphy J, Rajakulasingam R, Iqbal A, Azzopardi C, Botchu R, Davies AM. The use of the flow-void sign on MRI: highly sensitive sign in detecting bone metastases from renal cell carcinoma. Skeletal Radiol 2024; 53:917-922. [PMID: 37957342 DOI: 10.1007/s00256-023-04512-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 11/05/2023] [Accepted: 11/05/2023] [Indexed: 11/15/2023]
Abstract
OBJECTIVE To evaluate a range of pathologically proven malignant bone tumours, including primary bone sarcoma and metastatic bone lesions, referred to a tertiary referral centre for the presence of the flow-void sign on MR imaging. MATERIALS AND METHODS A retrospective search was performed using the radiology information system and oncology database in our institution to identify patients over the age of 40 years referred with a solitary bone lesion. Patients with a range of pathologically proven malignant bone tumours, including primary bone tumours and metastatic bone lesions, were included in the study. MRI images were reviewed for the presence of the flow-void sign. The presence and type of the flow-void sign were correlated with lesion size. RESULTS Two hundred and sixty-six cases were included in the study. Overall, the flow-void sign was identified in 40.9% of cases. The flow-void sign was most frequently seen in renal cell carcinoma metastasis (90.0%). The sign is highly sensitive (90%) for renal cell carcinoma metastases with a high negative predictive value (98.09%). When the flow-void sign is identified, the lesion is almost three times more likely to represent a renal cell carcinoma metastasis than any other malignant tumour in patients over the age of 40 years with a solitary bone lesion. CONCLUSION The flow-void sign is highly sensitive for renal cell carcinoma bone metastases and could negate the need for biopsy in patients with a known history of renal cell carcinoma or in whom an occult renal cell carcinoma is subsequently identified.
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Affiliation(s)
- Jennifer Murphy
- Royal Orthopaedic Hospital NHS Foundation Trust, Bristol Road South, Birmingham, B31 2AP, UK.
| | - Ramanan Rajakulasingam
- Royal Orthopaedic Hospital NHS Foundation Trust, Bristol Road South, Birmingham, B31 2AP, UK
| | - Aamer Iqbal
- Royal Orthopaedic Hospital NHS Foundation Trust, Bristol Road South, Birmingham, B31 2AP, UK
| | - Christine Azzopardi
- Royal Orthopaedic Hospital NHS Foundation Trust, Bristol Road South, Birmingham, B31 2AP, UK
| | - Rajesh Botchu
- Royal Orthopaedic Hospital NHS Foundation Trust, Bristol Road South, Birmingham, B31 2AP, UK
| | - A Mark Davies
- Royal Orthopaedic Hospital NHS Foundation Trust, Bristol Road South, Birmingham, B31 2AP, UK
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Monestier L, Del Grande J, Haddad R, Santini L, Michel J, Varoquaux A, Fakhry N. Correlation between MRI (DWI and DCE) and cellularity of parotid gland pleomorphic adenomas. Eur Arch Otorhinolaryngol 2024; 281:2655-2665. [PMID: 38498193 DOI: 10.1007/s00405-024-08562-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 02/14/2024] [Indexed: 03/20/2024]
Abstract
PURPOSE Parotid pleomorphic adenomas present a risk of recurrence, higher when the tumour is a hypocellular subtype. The aim of the study was to determine whether it is possible to characterize this histological subtype with diffusion and perfusion sequences of the preoperative MRI. METHODS This retrospective study included 97 patients operated between 2010 and 2020. Histologic slides review was performed to classify tumours into three histologic subtypes: hypocellular, classical and hypercellular. Univariate and multivariate analyses studied the correlation between histology and diffusion and perfusion MRI parameters obtained with OleaSphere® software. RESULTS The hypocellular subtype had higher apparent diffusion coefficient values than the other two subtypes: 2.13 ± 0.23, 1.83 ± 0.42, and 1.61 ± 0.4 × 10-3 mm2/s for hypocellular, classical and hypercellular subtype respectively (p < 0.0001). Multivariate analysis showed that an ADCmean > 1.88 × 10-3 mm2/s was suggestive of a hypocellular pleomorphic adenoma in 79% of the cases, with a specificity and PPV of 94 and 96% (p < 0.001), respectively. CONCLUSION The histological subtype of a pleomorphic adenoma can be predicted preoperatively with ADC values. A prospective and multicentric study on a larger cohort is needed to confirm our results.
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Affiliation(s)
- Laura Monestier
- Department of Oto-Rhino-Laryngology-Head and Neck Surgery, La Conception University Hospital, AP-HM, Aix-Marseille University, Marseille, France
| | - Jean Del Grande
- Department of Pathology, La Timone University Hospital, AP-HM, Aix-Marseille University, Marseille, France
| | - Ralph Haddad
- Department of Oto-Rhino-Laryngology-Head and Neck Surgery, La Conception University Hospital, AP-HM, Aix-Marseille University, Marseille, France
| | - Laure Santini
- Department of Oto-Rhino-Laryngology-Head and Neck Surgery, La Conception University Hospital, AP-HM, Aix-Marseille University, Marseille, France
| | - Justin Michel
- Department of Oto-Rhino-Laryngology-Head and Neck Surgery, La Conception University Hospital, AP-HM, Aix-Marseille University, Marseille, France
| | - Arthur Varoquaux
- Department of Radiology, La Conception University Hospital, AP-HM, Aix-Marseille University, Marseille, France
| | - Nicolas Fakhry
- Department of Oto-Rhino-Laryngology-Head and Neck Surgery, La Conception University Hospital, AP-HM, Aix-Marseille University, Marseille, France.
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Porter VA, Hobson BA, Foster B, Lein PJ, Chaudhari AJ. Fully automated whole brain segmentation from rat MRI scans with a convolutional neural network. J Neurosci Methods 2024; 405:110078. [PMID: 38340902 PMCID: PMC11000587 DOI: 10.1016/j.jneumeth.2024.110078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 01/27/2024] [Accepted: 02/05/2024] [Indexed: 02/12/2024]
Abstract
BACKGROUND Whole brain delineation (WBD) is utilized in neuroimaging analysis for data preprocessing and deriving whole brain image metrics. Current automated WBD techniques for analysis of preclinical brain MRI data show limited accuracy when images present with significant neuropathology and anatomical deformations, such as that resulting from organophosphate intoxication (OPI) and Alzheimer's Disease (AD), and inadequate generalizability. METHODS A modified 2D U-Net framework was employed for WBD of MRI rodent brains, consisting of 27 convolutional layers, batch normalization, two dropout layers and data augmentation, after training parameter optimization. A total of 265 T2-weighted 7.0 T MRI scans were utilized for the study, including 125 scans of an OPI rat model for neural network training. For testing and validation, 20 OPI rat scans and 120 scans of an AD rat model were utilized. U-Net performance was evaluated using Dice coefficients (DC) and Hausdorff distances (HD) between the U-Net-generated and manually segmented WBDs. RESULTS The U-Net achieved a DC (median[range]) of 0.984[0.936-0.990] and HD of 1.69[1.01-6.78] mm for OPI rat model scans, and a DC (mean[range]) of 0.975[0.898-0.991] and HD of 1.49[0.86-3.89] for the AD rat model scans. COMPARISON WITH EXISTING METHODS The proposed approach is fully automated and robust across two rat strains and longitudinal brain changes with a computational speed of 8 seconds/scan, overcoming limitations of manual segmentation. CONCLUSIONS The modified 2D U-Net provided a fully automated, efficient, and generalizable segmentation approach that achieved high accuracy across two disparate rat models of neurological diseases.
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Affiliation(s)
- Valerie A Porter
- Department of Biomedical Engineering, University of California, Davis, CA 95616, USA; Department of Radiology, University of California, Davis, CA 95817, USA
| | - Brad A Hobson
- Department of Biomedical Engineering, University of California, Davis, CA 95616, USA; Center for Molecular and Genomic Imaging, University of California, Davis, CA 95616, USA
| | - Brent Foster
- TechMah Medical LLC, 2099 Thunderhead Rd, Knoxville, TN 37922, USA
| | - Pamela J Lein
- Department of Molecular Biosciences, University of California, Davis, CA 95616, USA
| | - Abhijit J Chaudhari
- Department of Radiology, University of California, Davis, CA 95817, USA; Center for Molecular and Genomic Imaging, University of California, Davis, CA 95616, USA.
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Sun J, Xie Z, Sun Y, Shen A, Li R, Yuan X, Lu B, Li Y. Precise prediction of cerebrospinal fluid amyloid beta protein for early Alzheimer's disease detection using multimodal data. MedComm (Beijing) 2024; 5:e532. [PMID: 38645663 PMCID: PMC11027992 DOI: 10.1002/mco2.532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 02/21/2024] [Accepted: 03/07/2024] [Indexed: 04/23/2024] Open
Abstract
Alzheimer's disease (AD) constitutes a neurodegenerative disorder marked by a progressive decline in cognitive function and memory capacity. The accurate diagnosis of this condition predominantly relies on cerebrospinal fluid (CSF) markers, notwithstanding the associated burdens of pain and substantial financial costs endured by patients. This study encompasses subjects exhibiting varying degrees of cognitive impairment, encompassing individuals with subjective cognitive decline, mild cognitive impairment, and dementia, constituting a total sample size of 82 participants. The primary objective of this investigation is to explore the relationships among brain atrophy measurements derived from magnetic resonance imaging, atypical electroencephalography (EEG) patterns, behavioral assessment scales, and amyloid β-protein (Aβ) indicators. The findings of this research reveal that individuals displaying reduced Aβ1-42/Aβ-40 levels exhibit significant atrophy in the frontotemporal lobe, alongside irregularities in various parameters related to EEG frequency characteristics, signal complexity, inter-regional information exchange, and microstates. The study additionally endeavors to estimate Aβ1-42/Aβ-40 content through the application of a random forest algorithm, amalgamating structural data, electrophysiological features, and clinical scales, achieving a remarkable predictive precision of 91.6%. In summary, this study proposes a cost-effective methodology for acquiring CSF markers, thereby offering a valuable tool for the early detection of AD.
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Affiliation(s)
- Jingnan Sun
- Department of Biomedical EngineeringTsinghua UniversityBeijingChina
| | - Zengmai Xie
- Department of Neurology, Shanghai Pudong HospitalFudan University Pudong Medical CenterShanghaiChina
- Shanghai Key Laboratory of Vascular Lesions Regulation and RemodelingShanghaiChina
| | - Yike Sun
- Department of Biomedical EngineeringTsinghua UniversityBeijingChina
| | - Anruo Shen
- Department of Biomedical EngineeringTsinghua UniversityBeijingChina
| | - Renren Li
- Department of Neurology, Shanghai Pudong HospitalFudan University Pudong Medical CenterShanghaiChina
- Shanghai Key Laboratory of Vascular Lesions Regulation and RemodelingShanghaiChina
| | - Xiao Yuan
- Department of Neurology, Shanghai Pudong HospitalFudan University Pudong Medical CenterShanghaiChina
- Shanghai Key Laboratory of Vascular Lesions Regulation and RemodelingShanghaiChina
| | - Bai Lu
- School of Pharmaceutical SciencesTsinghua UniversityBeijingChina
- Beijing Academy of Artificial IntelligenceBeijingChina
| | - Yunxia Li
- Department of Neurology, Shanghai Pudong HospitalFudan University Pudong Medical CenterShanghaiChina
- Shanghai Key Laboratory of Vascular Lesions Regulation and RemodelingShanghaiChina
- Department of NeurologyTongji HospitalTongji UniversityShanghaiChina
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Zennadi MM, Ptito M, Redouté J, Costes N, Boutet C, Germain N, Galusca B, Schneider FC. MRI atlas of the pituitary gland in young female adults. Brain Struct Funct 2024; 229:1001-1010. [PMID: 38502330 DOI: 10.1007/s00429-024-02779-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 02/20/2024] [Indexed: 03/21/2024]
Abstract
The probabilistic topography and inter-individual variability of the pituitary gland (PG) remain undetermined. The absence of a standardized reference atlas hinders research on PG volumetrics. In this study, we aimed at creating maximum probability maps for the anterior and posterior PG in young female adults. We manually delineated the anterior and posterior parts of the pituitary glands in 26 healthy subjects using high-resolution MRI T1 images. A three-step procedure and a cost function-masking approach were employed to optimize spatial normalization for the PG. We generated probabilistic atlases and maximum probability maps, which were subsequently coregistered back to the subjects' space and compared to manual delineations. Manual measurements led to a total pituitary volume of 705 ± 88 mm³, with the anterior and posterior volumes measuring 614 ± 82 mm³ and 91 ± 20 mm³, respectively. The mean relative volume difference between manual and atlas-based estimations was 1.3%. The global pituitary atlas exhibited an 80% (± 9%) overlap for the DICE index and 67% (± 11%) for the Jaccard index. Similarly, these values were 77% (± 13%) and 64% (± 14%) for the anterior pituitary atlas and 62% (± 21%) and 47% (± 17%) for the posterior PG atlas, respectively. We observed a substantial concordance and a significant correlation between the volume estimations of the manual and atlas-based methods for the global pituitary and anterior volumes. The maximum probability maps of the anterior and posterior PG lay the groundwork for automatic atlas-based segmentation methods and the standardized analysis of large PG datasets.
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Affiliation(s)
- Manel Merabet Zennadi
- Université Jean Monnet Saint Etienne, CHU de Saint Etienne, TAPE Research Unit EA 7423, F-42023, Saint Etienne, France
| | - Maurice Ptito
- École d'Optométrie, Université de Montréal, Montréal, Québec, Canada
- Department of Neuroscience, Copenhagen University, Copenhagen, Denmark
| | - Jérôme Redouté
- CERMEP, Claude Bernard University Lyon 1, Villeurbanne, France
| | - Nicolas Costes
- CERMEP, Claude Bernard University Lyon 1, Villeurbanne, France
| | - Claire Boutet
- Université Jean Monnet Saint Etienne, CHU de Saint Etienne, TAPE Research Unit EA 7423, F-42023, Saint Etienne, France
| | - Natacha Germain
- Université Jean Monnet Saint Etienne, CHU de Saint Etienne, TAPE Research Unit EA 7423, F-42023, Saint Etienne, France
| | - Bogdan Galusca
- Université Jean Monnet Saint Etienne, CHU de Saint Etienne, TAPE Research Unit EA 7423, F-42023, Saint Etienne, France
| | - Fabien C Schneider
- Université Jean Monnet Saint Etienne, CHU de Saint Etienne, TAPE Research Unit EA 7423, F-42023, Saint Etienne, France.
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Namba S, Yokota H, Mukai H, Hashiba J, Kogayo N, Nakao T, Sugiyama A, Ogaya E, Aotsuka Y, Kuwabara S, Uno T. Neurosarcoidosis with enlargement of the dorsal root ganglia: A case report. Radiol Case Rep 2024; 19:1718-1721. [PMID: 38384707 PMCID: PMC10877124 DOI: 10.1016/j.radcr.2024.01.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 01/04/2024] [Accepted: 01/10/2024] [Indexed: 02/23/2024] Open
Abstract
We report the case of a woman in her 40s who presented with sensory disturbances in all 4 limbs and left facial palsy. MRI revealed asymmetric enlargement of the dorsal root ganglia, which was enhanced by gadolinium-a chest CT scan identified enlarged supraclavicular, mediastinal, and hilar lymph nodes. A biopsy of a hilar lymph node showed noncaseating epithelioid granulomas, confirming a sarcoidosis diagnosis. Prednisolone treatment led to symptomatic improvements. In sarcoidosis of the peripheral nervous system, there might be observable enlargement of the dorsal root ganglion alongside enhanced gadolinium contrast. Obtaining a biopsy from the dorsal root ganglion poses challenges, and radiologists should be mindful of this specific imaging characteristic.
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Affiliation(s)
- Sakie Namba
- Department of Radiology, Chiba University Hospital, Chiba, Japan
| | - Hajime Yokota
- Diagnostic Radiology and Radiation Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Hiroki Mukai
- Department of Radiology, Chiba University Hospital, Chiba, Japan
| | - Jun Hashiba
- Department of Radiology, Chiba University Hospital, Chiba, Japan
| | - Naoki Kogayo
- Department of Radiology, Chiba University Hospital, Chiba, Japan
| | - Tatsushi Nakao
- Department of Radiology, Chiba University Hospital, Chiba, Japan
| | - Atsuhiko Sugiyama
- Department of Neurology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Etsuko Ogaya
- Department of Neurology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Yuya Aotsuka
- Department of Neurology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Satoshi Kuwabara
- Department of Neurology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Takashi Uno
- Diagnostic Radiology and Radiation Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan
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Qian W, Curtain BMM, Deshwal A, Chetrit S. Massive appendiceal mucinous neoplasm diagnosed after abdominal trauma: Pitfalls in imaging and diagnosis. Radiol Case Rep 2024; 19:1956-1959. [PMID: 38434782 PMCID: PMC10909596 DOI: 10.1016/j.radcr.2024.02.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 01/31/2024] [Accepted: 02/05/2024] [Indexed: 03/05/2024] Open
Abstract
Low grade appendiceal mucinous neoplasm (LAMN) is a rare tumor presenting typically with symptoms of acute appendicitis. A 33-year-old gentleman presented with abdominal fullness and discomfort secondary to abdominal trauma obtained during boxing training. Investigations with magnetic resonance imaging (MRI), ultrasound, and colonoscopy revealed a large cystic lesion in the ascending colon mesentery with unclear continuation with the appendix. There were no obvious features of malignancy. Laparoscopy revealed a large, firm mass connected to the appendix with enlarged lymph nodes, and the patient underwent radical resection with a right hemicolectomy. Histopathology revealed complete excision of LAMN with no lymphatic involvement. Post traumatic intra-abdominal cystic lesions pose a diagnostic challenge, and neoplastic lesions cannot be ruled out with imaging alone, even with benign appearances. Careful surgical excision and histopathological diagnosis is the only definitive method of ruling-out malignancy.
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Affiliation(s)
- Wanyang Qian
- Department of Surgery, St John of God Subiaco Hospital, Subiaco, WA, USA
| | | | - Avinash Deshwal
- Department of Radiology, Fiona Stanley Hospital, Murdoch, WA, USA
| | - Stephanie Chetrit
- Department of Surgery, St John of God Subiaco Hospital, Subiaco, WA, USA
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Gu J, Ge C, Joshi G, Most M, Tai R. Phosphaturic mesenchymal tumor: two cases highlighting differences in clinical and radiologic presentation. Skeletal Radiol 2024; 53:995-1002. [PMID: 37792035 DOI: 10.1007/s00256-023-04462-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Revised: 08/27/2023] [Accepted: 09/25/2023] [Indexed: 10/05/2023]
Abstract
Phosphaturic mesenchymal tumors are rare, usually benign neoplasms that occur in the soft tissue or bone and are the cause of nearly all cases of tumor-induced osteomalacia. Tumor-induced osteomalacia due to phosphaturic mesenchymal tumor is a challenging diagnosis to make-patients present with variable clinical and radiologic findings and the culprit neoplasm is often small and can occur anywhere head to toe. We present two cases of phosphaturic mesenchymal tumor in the scapular body and plantar foot. In both cases, the patient endured years of debilitating symptoms before a tissue diagnosis was eventually reached. Descriptions of clinical presentation, laboratory workup, surgical resection, and imaging characteristics, with a focus on CT, MRI, and functional imaging, are provided to assist with the diagnosis and management of this rare entity. A brief review of current literature and discussion of the differential diagnoses of phosphaturic mesenchymal tumor is also provided.
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Affiliation(s)
- Joey Gu
- Department of Medicine, Roger Williams Medical Center, Providence, RI, USA.
| | - Connie Ge
- University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Ganesh Joshi
- University of Massachusetts Chan Medical School, Worcester, MA, USA
- Division of Musculoskeletal Imaging and Intervention, Department of Radiology, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Mathew Most
- University of Massachusetts Chan Medical School, Worcester, MA, USA
- Division of Orthopedic Oncology, Department of Orthopedics and Physical Rehabilitation, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Ryan Tai
- University of Massachusetts Chan Medical School, Worcester, MA, USA
- Division of Musculoskeletal Imaging and Intervention, Department of Radiology, University of Massachusetts Chan Medical School, Worcester, MA, USA
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Vallejo-Azar MN, Arenaza B, Elizalde Acevedo B, Alba-Ferrara L, Samengo I, Bendersky M, Gonzalez PN. Hemispheric asymmetries in cortical grey matter of gyri and sulci in modern human populations from South America. J Anat 2024; 244:815-830. [PMID: 38183319 PMCID: PMC11021627 DOI: 10.1111/joa.14001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 12/18/2023] [Accepted: 12/18/2023] [Indexed: 01/08/2024] Open
Abstract
Structural asymmetries of brain regions associated with lateralised functions have been extensively studied. However, there are fewer morphometric analyses of asymmetries of the gyri and sulci of the entire cortex. The current study assessed cortical asymmetries in a sample of healthy adults (N = 175) from an admixed population from South America. Grey matter volume and surface area of 66 gyri and sulci were quantified on T1 magnetic resonance images. The departure from zero of the differences between left and right hemispheres (L-R), a measure of directional asymmetry (DA), the variance of L-R, and an index of fluctuating asymmetry (FA) were evaluated for each region. Significant departures from perfect symmetry were found for most cortical gyri and sulci. Regions showed leftward asymmetry at the population level in the frontal lobe and superior lateral parts of the parietal lobe. Rightward asymmetry was found in the inferior parietal, occipital, frontopolar, and orbital regions, and the cingulate (anterior, middle, and posterior-ventral). Despite this general pattern, several sulci showed the opposite DA compared to the neighbouring gyri, which remarks the need to consider the neurobiological differences in gyral and sulcal development in the study of structural asymmetries. The results also confirm the absence of DA in most parts of the inferior frontal gyrus and the precentral region. This study contributes with data on populations underrepresented in the databases used in neurosciences. Among its findings, there is agreement with previous results obtained in populations of different ancestry and some discrepancies in the middle frontal and medial parietal regions. A significant DA not reported previously was found for the volume of long and short insular gyri and the central sulcus of the insula, frontomarginal, transverse frontopolar, paracentral, and middle and posterior parts of the cingulate gyrus and sulcus, gyrus rectus, occipital pole, and olfactory sulcus, as well as for the volume and area of the transverse collateral sulcus and suborbital sulcus. Also, several parcels displayed significant variability in the left-right differences, which can be partially attributable to developmental instability, a source of FA. Moreover, a few gyri and sulci displayed ideal FA with non-significant departures from perfect symmetry, such as subcentral and posterior cingulate gyri and sulci, inferior frontal and fusiform gyri, and the calcarine, transverse collateral, precentral, and orbital sulci. Overall, these results show that asymmetries are ubiquitous in the cerebral cortex.
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Affiliation(s)
- Mariana N Vallejo-Azar
- Estudios en Neurociencias y Sistemas Complejos, ENyS (CONICET, Universidad Nacional Arturo Jauretche, Hospital El Cruce), Florencio Varela, Argentina
| | - Bautista Arenaza
- Department of Medical Physics and Instituto Balseiro, Centro Atómico Bariloche, CONICET, Bariloche, Argentina
| | - Bautista Elizalde Acevedo
- Estudios en Neurociencias y Sistemas Complejos, ENyS (CONICET, Universidad Nacional Arturo Jauretche, Hospital El Cruce), Florencio Varela, Argentina
- Instituto de Investigaciones en Medicina Traslacional (IIMT), CONICET-Universidad Austral, Bariloche, Argentina
| | - Lucía Alba-Ferrara
- Estudios en Neurociencias y Sistemas Complejos, ENyS (CONICET, Universidad Nacional Arturo Jauretche, Hospital El Cruce), Florencio Varela, Argentina
| | - Inés Samengo
- Department of Medical Physics and Instituto Balseiro, Centro Atómico Bariloche, CONICET, Bariloche, Argentina
| | - Mariana Bendersky
- Estudios en Neurociencias y Sistemas Complejos, ENyS (CONICET, Universidad Nacional Arturo Jauretche, Hospital El Cruce), Florencio Varela, Argentina
- Facultad de Medicina, Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Paula N Gonzalez
- Estudios en Neurociencias y Sistemas Complejos, ENyS (CONICET, Universidad Nacional Arturo Jauretche, Hospital El Cruce), Florencio Varela, Argentina
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Shin M, Seo M, Lee K, Yoon K. Super-resolution techniques for biomedical applications and challenges. Biomed Eng Lett 2024; 14:465-496. [PMID: 38645589 PMCID: PMC11026337 DOI: 10.1007/s13534-024-00365-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 02/12/2024] [Accepted: 02/18/2024] [Indexed: 04/23/2024] Open
Abstract
Super-resolution (SR) techniques have revolutionized the field of biomedical applications by detailing the structures at resolutions beyond the limits of imaging or measuring tools. These techniques have been applied in various biomedical applications, including microscopy, magnetic resonance imaging (MRI), computed tomography (CT), X-ray, electroencephalogram (EEG), ultrasound, etc. SR methods are categorized into two main types: traditional non-learning-based methods and modern learning-based approaches. In both applications, SR methodologies have been effectively utilized on biomedical images, enhancing the visualization of complex biological structures. Additionally, these methods have been employed on biomedical data, leading to improvements in computational precision and efficiency for biomedical simulations. The use of SR techniques has resulted in more detailed and accurate analyses in diagnostics and research, essential for early disease detection and treatment planning. However, challenges such as computational demands, data interpretation complexities, and the lack of unified high-quality data persist. The article emphasizes these issues, underscoring the need for ongoing development in SR technologies to further improve biomedical research and patient care outcomes.
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Affiliation(s)
- Minwoo Shin
- School of Mathematics and Computing (Computational Science and Engineering), Yonsei University, 50 Yonsei-Ro, Seodaemun-Gu, Seoul, 03722 Republic of Korea
| | - Minjee Seo
- School of Mathematics and Computing (Computational Science and Engineering), Yonsei University, 50 Yonsei-Ro, Seodaemun-Gu, Seoul, 03722 Republic of Korea
| | - Kyunghyun Lee
- School of Mathematics and Computing (Computational Science and Engineering), Yonsei University, 50 Yonsei-Ro, Seodaemun-Gu, Seoul, 03722 Republic of Korea
| | - Kyungho Yoon
- School of Mathematics and Computing (Computational Science and Engineering), Yonsei University, 50 Yonsei-Ro, Seodaemun-Gu, Seoul, 03722 Republic of Korea
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Tak D, Ye Z, Zapaischykova A, Zha Y, Boyd A, Vajapeyam S, Chopra R, Hayat H, Prabhu SP, Liu KX, Elhalawani H, Nabavizadeh A, Familiar A, Resnick AC, Mueller S, Aerts HJWL, Bandopadhayay P, Ligon KL, Haas-Kogan DA, Poussaint TY, Kann BH. Noninvasive Molecular Subtyping of Pediatric Low-Grade Glioma with Self-Supervised Transfer Learning. Radiol Artif Intell 2024; 6:e230333. [PMID: 38446044 DOI: 10.1148/ryai.230333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/07/2024]
Abstract
Purpose To develop and externally test a scan-to-prediction deep learning pipeline for noninvasive, MRI-based BRAF mutational status classification for pediatric low-grade glioma. Materials and Methods This retrospective study included two pediatric low-grade glioma datasets with linked genomic and diagnostic T2-weighted MRI data of patients: Dana-Farber/Boston Children's Hospital (development dataset, n = 214 [113 (52.8%) male; 104 (48.6%) BRAF wild type, 60 (28.0%) BRAF fusion, and 50 (23.4%) BRAF V600E]) and the Children's Brain Tumor Network (external testing, n = 112 [55 (49.1%) male; 35 (31.2%) BRAF wild type, 60 (53.6%) BRAF fusion, and 17 (15.2%) BRAF V600E]). A deep learning pipeline was developed to classify BRAF mutational status (BRAF wild type vs BRAF fusion vs BRAF V600E) via a two-stage process: (a) three-dimensional tumor segmentation and extraction of axial tumor images and (b) section-wise, deep learning-based classification of mutational status. Knowledge-transfer and self-supervised approaches were investigated to prevent model overfitting, with a primary end point of the area under the receiver operating characteristic curve (AUC). To enhance model interpretability, a novel metric, center of mass distance, was developed to quantify the model attention around the tumor. Results A combination of transfer learning from a pretrained medical imaging-specific network and self-supervised label cross-training (TransferX) coupled with consensus logic yielded the highest classification performance with an AUC of 0.82 (95% CI: 0.72, 0.91), 0.87 (95% CI: 0.61, 0.97), and 0.85 (95% CI: 0.66, 0.95) for BRAF wild type, BRAF fusion, and BRAF V600E, respectively, on internal testing. On external testing, the pipeline yielded an AUC of 0.72 (95% CI: 0.64, 0.86), 0.78 (95% CI: 0.61, 0.89), and 0.72 (95% CI: 0.64, 0.88) for BRAF wild type, BRAF fusion, and BRAF V600E, respectively. Conclusion Transfer learning and self-supervised cross-training improved classification performance and generalizability for noninvasive pediatric low-grade glioma mutational status prediction in a limited data scenario. Keywords: Pediatrics, MRI, CNS, Brain/Brain Stem, Oncology, Feature Detection, Diagnosis, Supervised Learning, Transfer Learning, Convolutional Neural Network (CNN) Supplemental material is available for this article. © RSNA, 2024.
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Affiliation(s)
- Divyanshu Tak
- From the Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, Mass (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., H.J.W.L.A., B.H.K.); Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston Children's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115 (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., K.X.L., H.E., H.J.W.L.A., D.A.H.K., B.H.K.); Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Mass (S.V., S.P.P., T.Y.P.); Center for Data-Driven Discovery in Biomedicine (A.N., A.F.) and Department of Neurosurgery (A.F., A.C.R.), Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa (A.N.); Departments of Neurology, Pediatrics, and Neurologic Surgery, University of California San Francisco, San Francisco, Calif (S.M.); Department of Radiology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (H.J.W.L.A.); Department of Radiology and Nuclear Medicine, CalifRIM & GROW, Maastricht University, Maastricht, the Netherlands (H.J.W.L.A.); and Department of Pediatric Oncology (P.B.) and Department of Pathology (K.L.L.), Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard Medical School, Boston, Mass
| | - Zezhong Ye
- From the Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, Mass (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., H.J.W.L.A., B.H.K.); Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston Children's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115 (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., K.X.L., H.E., H.J.W.L.A., D.A.H.K., B.H.K.); Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Mass (S.V., S.P.P., T.Y.P.); Center for Data-Driven Discovery in Biomedicine (A.N., A.F.) and Department of Neurosurgery (A.F., A.C.R.), Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa (A.N.); Departments of Neurology, Pediatrics, and Neurologic Surgery, University of California San Francisco, San Francisco, Calif (S.M.); Department of Radiology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (H.J.W.L.A.); Department of Radiology and Nuclear Medicine, CalifRIM & GROW, Maastricht University, Maastricht, the Netherlands (H.J.W.L.A.); and Department of Pediatric Oncology (P.B.) and Department of Pathology (K.L.L.), Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard Medical School, Boston, Mass
| | - Anna Zapaischykova
- From the Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, Mass (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., H.J.W.L.A., B.H.K.); Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston Children's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115 (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., K.X.L., H.E., H.J.W.L.A., D.A.H.K., B.H.K.); Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Mass (S.V., S.P.P., T.Y.P.); Center for Data-Driven Discovery in Biomedicine (A.N., A.F.) and Department of Neurosurgery (A.F., A.C.R.), Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa (A.N.); Departments of Neurology, Pediatrics, and Neurologic Surgery, University of California San Francisco, San Francisco, Calif (S.M.); Department of Radiology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (H.J.W.L.A.); Department of Radiology and Nuclear Medicine, CalifRIM & GROW, Maastricht University, Maastricht, the Netherlands (H.J.W.L.A.); and Department of Pediatric Oncology (P.B.) and Department of Pathology (K.L.L.), Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard Medical School, Boston, Mass
| | - Yining Zha
- From the Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, Mass (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., H.J.W.L.A., B.H.K.); Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston Children's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115 (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., K.X.L., H.E., H.J.W.L.A., D.A.H.K., B.H.K.); Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Mass (S.V., S.P.P., T.Y.P.); Center for Data-Driven Discovery in Biomedicine (A.N., A.F.) and Department of Neurosurgery (A.F., A.C.R.), Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa (A.N.); Departments of Neurology, Pediatrics, and Neurologic Surgery, University of California San Francisco, San Francisco, Calif (S.M.); Department of Radiology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (H.J.W.L.A.); Department of Radiology and Nuclear Medicine, CalifRIM & GROW, Maastricht University, Maastricht, the Netherlands (H.J.W.L.A.); and Department of Pediatric Oncology (P.B.) and Department of Pathology (K.L.L.), Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard Medical School, Boston, Mass
| | - Aidan Boyd
- From the Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, Mass (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., H.J.W.L.A., B.H.K.); Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston Children's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115 (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., K.X.L., H.E., H.J.W.L.A., D.A.H.K., B.H.K.); Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Mass (S.V., S.P.P., T.Y.P.); Center for Data-Driven Discovery in Biomedicine (A.N., A.F.) and Department of Neurosurgery (A.F., A.C.R.), Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa (A.N.); Departments of Neurology, Pediatrics, and Neurologic Surgery, University of California San Francisco, San Francisco, Calif (S.M.); Department of Radiology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (H.J.W.L.A.); Department of Radiology and Nuclear Medicine, CalifRIM & GROW, Maastricht University, Maastricht, the Netherlands (H.J.W.L.A.); and Department of Pediatric Oncology (P.B.) and Department of Pathology (K.L.L.), Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard Medical School, Boston, Mass
| | - Sridhar Vajapeyam
- From the Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, Mass (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., H.J.W.L.A., B.H.K.); Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston Children's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115 (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., K.X.L., H.E., H.J.W.L.A., D.A.H.K., B.H.K.); Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Mass (S.V., S.P.P., T.Y.P.); Center for Data-Driven Discovery in Biomedicine (A.N., A.F.) and Department of Neurosurgery (A.F., A.C.R.), Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa (A.N.); Departments of Neurology, Pediatrics, and Neurologic Surgery, University of California San Francisco, San Francisco, Calif (S.M.); Department of Radiology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (H.J.W.L.A.); Department of Radiology and Nuclear Medicine, CalifRIM & GROW, Maastricht University, Maastricht, the Netherlands (H.J.W.L.A.); and Department of Pediatric Oncology (P.B.) and Department of Pathology (K.L.L.), Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard Medical School, Boston, Mass
| | - Rishi Chopra
- From the Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, Mass (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., H.J.W.L.A., B.H.K.); Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston Children's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115 (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., K.X.L., H.E., H.J.W.L.A., D.A.H.K., B.H.K.); Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Mass (S.V., S.P.P., T.Y.P.); Center for Data-Driven Discovery in Biomedicine (A.N., A.F.) and Department of Neurosurgery (A.F., A.C.R.), Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa (A.N.); Departments of Neurology, Pediatrics, and Neurologic Surgery, University of California San Francisco, San Francisco, Calif (S.M.); Department of Radiology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (H.J.W.L.A.); Department of Radiology and Nuclear Medicine, CalifRIM & GROW, Maastricht University, Maastricht, the Netherlands (H.J.W.L.A.); and Department of Pediatric Oncology (P.B.) and Department of Pathology (K.L.L.), Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard Medical School, Boston, Mass
| | - Hasaan Hayat
- From the Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, Mass (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., H.J.W.L.A., B.H.K.); Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston Children's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115 (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., K.X.L., H.E., H.J.W.L.A., D.A.H.K., B.H.K.); Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Mass (S.V., S.P.P., T.Y.P.); Center for Data-Driven Discovery in Biomedicine (A.N., A.F.) and Department of Neurosurgery (A.F., A.C.R.), Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa (A.N.); Departments of Neurology, Pediatrics, and Neurologic Surgery, University of California San Francisco, San Francisco, Calif (S.M.); Department of Radiology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (H.J.W.L.A.); Department of Radiology and Nuclear Medicine, CalifRIM & GROW, Maastricht University, Maastricht, the Netherlands (H.J.W.L.A.); and Department of Pediatric Oncology (P.B.) and Department of Pathology (K.L.L.), Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard Medical School, Boston, Mass
| | - Sanjay P Prabhu
- From the Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, Mass (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., H.J.W.L.A., B.H.K.); Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston Children's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115 (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., K.X.L., H.E., H.J.W.L.A., D.A.H.K., B.H.K.); Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Mass (S.V., S.P.P., T.Y.P.); Center for Data-Driven Discovery in Biomedicine (A.N., A.F.) and Department of Neurosurgery (A.F., A.C.R.), Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa (A.N.); Departments of Neurology, Pediatrics, and Neurologic Surgery, University of California San Francisco, San Francisco, Calif (S.M.); Department of Radiology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (H.J.W.L.A.); Department of Radiology and Nuclear Medicine, CalifRIM & GROW, Maastricht University, Maastricht, the Netherlands (H.J.W.L.A.); and Department of Pediatric Oncology (P.B.) and Department of Pathology (K.L.L.), Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard Medical School, Boston, Mass
| | - Kevin X Liu
- From the Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, Mass (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., H.J.W.L.A., B.H.K.); Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston Children's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115 (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., K.X.L., H.E., H.J.W.L.A., D.A.H.K., B.H.K.); Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Mass (S.V., S.P.P., T.Y.P.); Center for Data-Driven Discovery in Biomedicine (A.N., A.F.) and Department of Neurosurgery (A.F., A.C.R.), Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa (A.N.); Departments of Neurology, Pediatrics, and Neurologic Surgery, University of California San Francisco, San Francisco, Calif (S.M.); Department of Radiology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (H.J.W.L.A.); Department of Radiology and Nuclear Medicine, CalifRIM & GROW, Maastricht University, Maastricht, the Netherlands (H.J.W.L.A.); and Department of Pediatric Oncology (P.B.) and Department of Pathology (K.L.L.), Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard Medical School, Boston, Mass
| | - Hesham Elhalawani
- From the Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, Mass (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., H.J.W.L.A., B.H.K.); Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston Children's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115 (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., K.X.L., H.E., H.J.W.L.A., D.A.H.K., B.H.K.); Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Mass (S.V., S.P.P., T.Y.P.); Center for Data-Driven Discovery in Biomedicine (A.N., A.F.) and Department of Neurosurgery (A.F., A.C.R.), Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa (A.N.); Departments of Neurology, Pediatrics, and Neurologic Surgery, University of California San Francisco, San Francisco, Calif (S.M.); Department of Radiology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (H.J.W.L.A.); Department of Radiology and Nuclear Medicine, CalifRIM & GROW, Maastricht University, Maastricht, the Netherlands (H.J.W.L.A.); and Department of Pediatric Oncology (P.B.) and Department of Pathology (K.L.L.), Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard Medical School, Boston, Mass
| | - Ali Nabavizadeh
- From the Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, Mass (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., H.J.W.L.A., B.H.K.); Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston Children's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115 (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., K.X.L., H.E., H.J.W.L.A., D.A.H.K., B.H.K.); Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Mass (S.V., S.P.P., T.Y.P.); Center for Data-Driven Discovery in Biomedicine (A.N., A.F.) and Department of Neurosurgery (A.F., A.C.R.), Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa (A.N.); Departments of Neurology, Pediatrics, and Neurologic Surgery, University of California San Francisco, San Francisco, Calif (S.M.); Department of Radiology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (H.J.W.L.A.); Department of Radiology and Nuclear Medicine, CalifRIM & GROW, Maastricht University, Maastricht, the Netherlands (H.J.W.L.A.); and Department of Pediatric Oncology (P.B.) and Department of Pathology (K.L.L.), Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard Medical School, Boston, Mass
| | - Ariana Familiar
- From the Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, Mass (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., H.J.W.L.A., B.H.K.); Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston Children's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115 (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., K.X.L., H.E., H.J.W.L.A., D.A.H.K., B.H.K.); Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Mass (S.V., S.P.P., T.Y.P.); Center for Data-Driven Discovery in Biomedicine (A.N., A.F.) and Department of Neurosurgery (A.F., A.C.R.), Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa (A.N.); Departments of Neurology, Pediatrics, and Neurologic Surgery, University of California San Francisco, San Francisco, Calif (S.M.); Department of Radiology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (H.J.W.L.A.); Department of Radiology and Nuclear Medicine, CalifRIM & GROW, Maastricht University, Maastricht, the Netherlands (H.J.W.L.A.); and Department of Pediatric Oncology (P.B.) and Department of Pathology (K.L.L.), Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard Medical School, Boston, Mass
| | - Adam C Resnick
- From the Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, Mass (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., H.J.W.L.A., B.H.K.); Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston Children's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115 (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., K.X.L., H.E., H.J.W.L.A., D.A.H.K., B.H.K.); Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Mass (S.V., S.P.P., T.Y.P.); Center for Data-Driven Discovery in Biomedicine (A.N., A.F.) and Department of Neurosurgery (A.F., A.C.R.), Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa (A.N.); Departments of Neurology, Pediatrics, and Neurologic Surgery, University of California San Francisco, San Francisco, Calif (S.M.); Department of Radiology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (H.J.W.L.A.); Department of Radiology and Nuclear Medicine, CalifRIM & GROW, Maastricht University, Maastricht, the Netherlands (H.J.W.L.A.); and Department of Pediatric Oncology (P.B.) and Department of Pathology (K.L.L.), Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard Medical School, Boston, Mass
| | - Sabine Mueller
- From the Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, Mass (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., H.J.W.L.A., B.H.K.); Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston Children's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115 (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., K.X.L., H.E., H.J.W.L.A., D.A.H.K., B.H.K.); Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Mass (S.V., S.P.P., T.Y.P.); Center for Data-Driven Discovery in Biomedicine (A.N., A.F.) and Department of Neurosurgery (A.F., A.C.R.), Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa (A.N.); Departments of Neurology, Pediatrics, and Neurologic Surgery, University of California San Francisco, San Francisco, Calif (S.M.); Department of Radiology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (H.J.W.L.A.); Department of Radiology and Nuclear Medicine, CalifRIM & GROW, Maastricht University, Maastricht, the Netherlands (H.J.W.L.A.); and Department of Pediatric Oncology (P.B.) and Department of Pathology (K.L.L.), Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard Medical School, Boston, Mass
| | - Hugo J W L Aerts
- From the Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, Mass (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., H.J.W.L.A., B.H.K.); Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston Children's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115 (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., K.X.L., H.E., H.J.W.L.A., D.A.H.K., B.H.K.); Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Mass (S.V., S.P.P., T.Y.P.); Center for Data-Driven Discovery in Biomedicine (A.N., A.F.) and Department of Neurosurgery (A.F., A.C.R.), Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa (A.N.); Departments of Neurology, Pediatrics, and Neurologic Surgery, University of California San Francisco, San Francisco, Calif (S.M.); Department of Radiology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (H.J.W.L.A.); Department of Radiology and Nuclear Medicine, CalifRIM & GROW, Maastricht University, Maastricht, the Netherlands (H.J.W.L.A.); and Department of Pediatric Oncology (P.B.) and Department of Pathology (K.L.L.), Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard Medical School, Boston, Mass
| | - Pratiti Bandopadhayay
- From the Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, Mass (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., H.J.W.L.A., B.H.K.); Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston Children's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115 (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., K.X.L., H.E., H.J.W.L.A., D.A.H.K., B.H.K.); Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Mass (S.V., S.P.P., T.Y.P.); Center for Data-Driven Discovery in Biomedicine (A.N., A.F.) and Department of Neurosurgery (A.F., A.C.R.), Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa (A.N.); Departments of Neurology, Pediatrics, and Neurologic Surgery, University of California San Francisco, San Francisco, Calif (S.M.); Department of Radiology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (H.J.W.L.A.); Department of Radiology and Nuclear Medicine, CalifRIM & GROW, Maastricht University, Maastricht, the Netherlands (H.J.W.L.A.); and Department of Pediatric Oncology (P.B.) and Department of Pathology (K.L.L.), Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard Medical School, Boston, Mass
| | - Keith L Ligon
- From the Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, Mass (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., H.J.W.L.A., B.H.K.); Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston Children's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115 (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., K.X.L., H.E., H.J.W.L.A., D.A.H.K., B.H.K.); Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Mass (S.V., S.P.P., T.Y.P.); Center for Data-Driven Discovery in Biomedicine (A.N., A.F.) and Department of Neurosurgery (A.F., A.C.R.), Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa (A.N.); Departments of Neurology, Pediatrics, and Neurologic Surgery, University of California San Francisco, San Francisco, Calif (S.M.); Department of Radiology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (H.J.W.L.A.); Department of Radiology and Nuclear Medicine, CalifRIM & GROW, Maastricht University, Maastricht, the Netherlands (H.J.W.L.A.); and Department of Pediatric Oncology (P.B.) and Department of Pathology (K.L.L.), Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard Medical School, Boston, Mass
| | - Daphne A Haas-Kogan
- From the Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, Mass (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., H.J.W.L.A., B.H.K.); Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston Children's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115 (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., K.X.L., H.E., H.J.W.L.A., D.A.H.K., B.H.K.); Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Mass (S.V., S.P.P., T.Y.P.); Center for Data-Driven Discovery in Biomedicine (A.N., A.F.) and Department of Neurosurgery (A.F., A.C.R.), Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa (A.N.); Departments of Neurology, Pediatrics, and Neurologic Surgery, University of California San Francisco, San Francisco, Calif (S.M.); Department of Radiology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (H.J.W.L.A.); Department of Radiology and Nuclear Medicine, CalifRIM & GROW, Maastricht University, Maastricht, the Netherlands (H.J.W.L.A.); and Department of Pediatric Oncology (P.B.) and Department of Pathology (K.L.L.), Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard Medical School, Boston, Mass
| | - Tina Y Poussaint
- From the Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, Mass (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., H.J.W.L.A., B.H.K.); Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston Children's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115 (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., K.X.L., H.E., H.J.W.L.A., D.A.H.K., B.H.K.); Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Mass (S.V., S.P.P., T.Y.P.); Center for Data-Driven Discovery in Biomedicine (A.N., A.F.) and Department of Neurosurgery (A.F., A.C.R.), Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa (A.N.); Departments of Neurology, Pediatrics, and Neurologic Surgery, University of California San Francisco, San Francisco, Calif (S.M.); Department of Radiology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (H.J.W.L.A.); Department of Radiology and Nuclear Medicine, CalifRIM & GROW, Maastricht University, Maastricht, the Netherlands (H.J.W.L.A.); and Department of Pediatric Oncology (P.B.) and Department of Pathology (K.L.L.), Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard Medical School, Boston, Mass
| | - Benjamin H Kann
- From the Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, Mass (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., H.J.W.L.A., B.H.K.); Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston Children's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115 (D.T., Z.Y., A.Z., Y.Z., A.B., R.C., H.H., K.X.L., H.E., H.J.W.L.A., D.A.H.K., B.H.K.); Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Mass (S.V., S.P.P., T.Y.P.); Center for Data-Driven Discovery in Biomedicine (A.N., A.F.) and Department of Neurosurgery (A.F., A.C.R.), Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa (A.N.); Departments of Neurology, Pediatrics, and Neurologic Surgery, University of California San Francisco, San Francisco, Calif (S.M.); Department of Radiology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Mass (H.J.W.L.A.); Department of Radiology and Nuclear Medicine, CalifRIM & GROW, Maastricht University, Maastricht, the Netherlands (H.J.W.L.A.); and Department of Pediatric Oncology (P.B.) and Department of Pathology (K.L.L.), Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard Medical School, Boston, Mass
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Belair JA, Jung J, Desai V, Morrison WB, DeLuca PF, Zoga AC. Bone bruise vs. non-displaced fracture on MRI: a novel grading system for predicting return-to-play. Skeletal Radiol 2024; 53:947-955. [PMID: 37993556 DOI: 10.1007/s00256-023-04504-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 10/18/2023] [Accepted: 10/28/2023] [Indexed: 11/24/2023]
Abstract
OBJECTIVE To devise an MRI grading scheme for osseous contusion patterns in elite hockey players for predicting return-to-play (RTP). METHODS A retrospective review was performed to identify traumatic lower extremity osseous injuries in professional hockey players. A total of 28 injuries (17 players) were identified over a 10-year period. All had MRIs acquired at ≥ 1.5 T within a mean interval of 2 days from initial injury. MRIs were retrospectively reviewed by 3 musculoskeletal radiologists for osseous contusion pattern, classified as grade 1 (mild), 2 (moderate), or 3 (severe). Grade 3 contusions were further subdivided by the presence or absence of fracture, defined as discrete cortical disruption on MRI or follow-up CT. RTP was calculated from date of injury to next game played based on game log data. Statistical analysis was performed using ANOVA and post hoc unpaired t test. RESULTS Mean RTP for grade 1, 2, and 3 injuries was 2.8, 4.5, and 20.3 days, respectively. Grade 3 injuries without and with cortical fractures had mean RTP of 18.3 and 21.4 days, respectively. ANOVA analysis between groups achieved statistical significance (p < 0.001). Post hoc t test demonstrated statistically significant differences between grade 3 and grades 1 (p < 0.001) and 2 (p < 0.001) injuries. There was no statistical difference in RTP between grade 3 subgroups without and with fracture (p = 0.327). CONCLUSION We propose a novel MRI grading system for assessing severity of osseous contusions and predicting RTP. Clinically, there was no statistically significant difference in RTP between severe osseous contusions and nondisplaced fractures in elite hockey players.
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Affiliation(s)
- Jeffrey A Belair
- Department of Radiology, Thomas Jefferson University, 132 South 10th Street Suite 1085, Philadelphia, PA, 19107, USA.
| | - Jin Jung
- Larchmont Medical Imaging, Mt Laurel Township, NJ, USA
| | - Vishal Desai
- Department of Radiology, Thomas Jefferson University, 132 South 10th Street Suite 1085, Philadelphia, PA, 19107, USA
| | - William B Morrison
- Department of Radiology, Thomas Jefferson University, 132 South 10th Street Suite 1085, Philadelphia, PA, 19107, USA
| | | | - Adam C Zoga
- Department of Radiology, Thomas Jefferson University, 132 South 10th Street Suite 1085, Philadelphia, PA, 19107, USA
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Kang L, Tang B, Huang J, Li J. 3D- MRI super-resolution reconstruction using multi-modality based on multi-resolution CNN. Comput Methods Programs Biomed 2024; 248:108110. [PMID: 38452685 DOI: 10.1016/j.cmpb.2024.108110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Revised: 01/28/2024] [Accepted: 03/01/2024] [Indexed: 03/09/2024]
Abstract
BACKGROUND AND OBJECTIVE High-resolution (HR) MR images provide rich structural detail to assist physicians in clinical diagnosis and treatment plan. However, it is arduous to acquire HR MRI due to equipment limitations, scanning time or patient comfort. Instead, HR MRI could be obtained through a number of computer assisted post-processing methods that have proven to be effective and reliable. This paper aims to develop a convolutional neural network (CNN) based super-resolution reconstruction framework for low-resolution (LR) T2w images. METHOD In this paper, we propose a novel multi-modal HR MRI generation framework based on deep learning techniques. Specifically, we construct a CNN based on multi-resolution analysis to learn an end-to-end mapping between LR T2w and HR T2w, where HR T1w is fed into the network to offer detailed a priori information to help generate HR T2w. Furthermore, a low-frequency filtering module is introduced to filter out the interference from HR-T1w during high-frequency information extraction. Based on the idea of multi-resolution analysis, detailed features extracted from HR T1w and LR T2w are fused at two scales in the network and then HR T2w is reconstructed by upsampling and dense connectivity module. RESULTS Extensive quantitative and qualitative evaluations demonstrate that the proposed method enhances the recovered HR T2w details and outperforms other state-of-the-art methods. In addition, the experimental results also suggest that our network has a lightweight structure and favorable generalization performance. CONCLUSION The results show that the proposed method is capable of reconstructing HR T2w with higher accuracy. Meanwhile, the super-resolution reconstruction results on other dataset illustrate the excellent generalization ability of the method.
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Affiliation(s)
- Li Kang
- College of Electronics and Information Engineering, Shenzhen University, the Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen, 518060, China
| | - Bin Tang
- College of Electronics and Information Engineering, Shenzhen University, the Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen, 518060, China
| | - Jianjun Huang
- College of Electronics and Information Engineering, Shenzhen University, the Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen, 518060, China.
| | - Jianping Li
- College of Electronics and Information Engineering, Shenzhen University, the Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen, 518060, China
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Liachenko S, Sarkar S. In vivo mapping of rat brain partial white matter content using hexachlorophene-induced neurotoxicity model. Brain Res 2024; 1830:148811. [PMID: 38365131 DOI: 10.1016/j.brainres.2024.148811] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 01/26/2024] [Accepted: 02/13/2024] [Indexed: 02/18/2024]
Abstract
Segmentation of the white matter in MRI scans of the rat brain presents a significant challenge due to the low contrast. Existing anatomical reference maps of rat brain are usually constructed from fixed tissue, which may suffer from geometrical distortions due to fixation/processing. To significantly increase the in vivo contrast between white and gray matter in the rat brain we used a known neurotoxicant hexachlorophene, which produces selective white matter damage. This model was used to map white matter in the rat brain and estimate the partial white matter content in any given imaging voxel. Hexachlorophene was administered to rats at a dose of 30 mg/kg orally once a day over five consecutive days. A significant white matter changes were observed using quantitative T2 maps, from which the partial white matter content throughout the whole rat brain was derived. Several assumptions were made: hexachlorophene affects T2 relaxation only in the white matter; T2 of gray matter is relatively uniform in the brain; apparent T2 value in a given voxel is a combination of T2s from white and gray matter portions of that voxel, hexachlorophene affects nearly 100 % of white matter. The partial white matter map of the rat brain was constructed with the resolution of 0.2 × 0.2 × 1.0 mm per voxel. This map could be adjusted for segmentation of the brain tissue with preset threshold of the white matter content, or to establish the tissue composition in any region of interest among other applications.
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Affiliation(s)
- Serguei Liachenko
- Division of Neurotoxicology, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, United States.
| | - Sumit Sarkar
- Division of Neurotoxicology, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, United States
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Hu Z, Li Z, Shi Y, Liu S, Shen Y, Hu F, Li Q, Liu X, Gou X, Chen Z, Yang D. Advancements in investigating the role of cerebral small vein loss in Alzheimer's disease-related pathological changes. Neurol Sci 2024; 45:1875-1883. [PMID: 38133856 DOI: 10.1007/s10072-023-07208-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 11/15/2023] [Indexed: 12/23/2023]
Abstract
Alzheimer's disease (AD) is the prevailing type of dementia in the elderly, yet a comprehensive comprehension of its precise underlying mechanisms remains elusive. The investigation of the involvement of cerebral small veins in the advancement of AD has yet to be sufficiently explored in previous studies, primarily due to constraints associated with pathological staining techniques. However, recent research has provided valuable insights into multiple pathophysiological occurrences concerning cerebral small veins in AD, which may manifest sequentially, concurrently, or in a self-perpetuating manner. These events are presumed to be among the initial processes in the disease's progression. The impact of cerebral small vein loss on amyloid beta (Aβ) clearance through the glial lymphatic system is noteworthy. There exists a potential interdependence between collagen deposition and Aβ deposition in cerebral small veins. The compromised functionality of cerebral small veins can result in decreased cerebral perfusion pressure, potentially leading to cerebral tissue ischemia and edema. Additionally, the reduction of cerebral small veins may facilitate the infiltration of inflammatory factors into the brain parenchyma, thereby eliciting neuroinflammatory responses. Susceptibility-weighted imaging (SWI) is a valuable modality for the efficient assessment of cerebral small veins, precisely the deep medullary vein (DMV), and holds promise for the identification of precise and reliable imaging biomarkers for AD. This review presents a comprehensive overview of the current advancements and obstacles to the impairment of cerebral small veins in AD. Additionally, we emphasize future research avenues and the importance of conducting further investigations in this domain.
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Affiliation(s)
- Zhenzhu Hu
- Department of Neurology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610032, China
| | - Zhaoying Li
- Department of Neurology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610032, China
| | - Yu Shi
- Department of Neurology, Xuzhou Cancer Hospital, Xuzhou, 221000, Jiangsu, China
| | - Shanyu Liu
- Department of Neurology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610032, China
| | - Yuling Shen
- Department of Neurology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610032, China
| | - Fangfang Hu
- Department of Neurology, Xuzhou Cancer Hospital, Xuzhou, 221000, Jiangsu, China
| | - Qingqing Li
- Department of Neurology, Xuzhou Cancer Hospital, Xuzhou, 221000, Jiangsu, China
| | - Xu Liu
- Department of Neurology, Xuzhou Cancer Hospital, Xuzhou, 221000, Jiangsu, China
| | - Xinyu Gou
- Department of Neurology, Guang'an People's Hospital, Guang'an, 638001, China
| | - Zhenwei Chen
- Department of Neurology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610032, China
| | - Dongdong Yang
- Department of Neurology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610032, China.
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Gulati A, Kamel SI, Desai V, Belair JA. Presence of subchondral fracture in cases diagnosed as transient osteoporosis of the hip: a retrospective independent reader-based study. Skeletal Radiol 2024; 53:871-879. [PMID: 37932432 DOI: 10.1007/s00256-023-04500-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 10/25/2023] [Accepted: 10/26/2023] [Indexed: 11/08/2023]
Abstract
OBJECTIVE Transient osteoporosis of the hip (TOH) is an uncommon, typically self-limited diagnosis of uncertain etiology. We hypothesize that TOH represents an underlying subchondral fracture, and a discrete fracture line can often be detected on high-resolution MRI. MATERIALS AND METHODS A retrospective PACS query identified patients meeting imaging criteria for TOH with intense bone marrow edema (BME) in the femoral head on MRI. Those with poor quality studies, other underlying pathologies, or antecedent trauma were excluded. Three musculoskeletal radiologists independently reviewed each case for presence of a definite subchondral fracture line on small field of view (FOV) MR images of the affected hip. Extent of BME, reciprocal acetabular BME, and joint effusion size were also recorded. Binomial logistic regression was performed to determine statistically significant predictors of subchondral fracture. RESULTS Fifty patients met inclusion criteria (29 females, 0 pregnant). Mean age was 62±12 years (range 35-84). Average duration of symptoms before MRI was 102±135 days. Ten patients had bone densitometry within 2 years of MRI, six demonstrating osteopenia or osteoporosis. Subchondral fractures were unanimously identified in 44/50 (88%). Interclass correlation coefficient with absolute agreement was 0.73, 95% CI (0.57-0.84), indicating near-excellent agreement. Most cases demonstrated a large joint effusion (23/50, 46%) and acetabular BME (31/50, 62%). Increasing size of joint effusion was a statistically significant predictor of subchondral fracture (p=0.05), with 6.9 higher odds. There was a strong correlation with osteopenia/osteoporosis and fracture (p<0.001). CONCLUSION Discrete subchondral fractures were identified unanimously on small FOV imaging in the majority of TOH cases.
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Affiliation(s)
- Aishwarya Gulati
- Department of Radiology, Thomas Jefferson University, 132 South 10th Street Suite 1085, Philadelphia, PA, 19107, USA
| | - Sarah I Kamel
- Department of Radiology, Thomas Jefferson University, 132 South 10th Street Suite 1085, Philadelphia, PA, 19107, USA
| | - Vishal Desai
- Department of Radiology, Thomas Jefferson University, 132 South 10th Street Suite 1085, Philadelphia, PA, 19107, USA
| | - Jeffrey A Belair
- Department of Radiology, Thomas Jefferson University, 132 South 10th Street Suite 1085, Philadelphia, PA, 19107, USA.
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