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Sahin S, Oz A, Saglamer B, Sulu C, Demir AN, Soltanova L, Duru M, Arslan S, Ozkaya HM, Kizilkilic O, Tanriover N, Kadioglu P. The association between change in temporal muscle mass and treatment of acromegaly. Growth Horm IGF Res 2024; 79:101626. [PMID: 39418924 DOI: 10.1016/j.ghir.2024.101626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2024] [Revised: 09/25/2024] [Accepted: 10/04/2024] [Indexed: 10/19/2024]
Abstract
PURPOSE We aimed to evaluate the relationship between temporal muscle thickness and GH/IGF-1 elevation and the effect of acromegaly treatment on temporal muscle thickness. METHODS Patients with acromegaly and healthy controls were included in the study. While laboratory parameters, clinical findings and temporal muscle thickness of acromegaly patients at the time of diagnosis and one year after treatment were evaluated, laboratory parameters and temporal muscle thickness of healthy controls were evaluated only during the period when they were included in the study. Temporal muscle thickness was measured using pituitary MRI. Temporal muscle thickness of patients with acromegaly was compared with healthy controls. We also evaluated how temporal muscle thickness changes with treatment in patients with acromegaly and the association between laboratory parameters and temporal muscle thickness. RESULTS In patients with acromegaly, measurements of left, right, and mean temporal muscle thickness at the time of diagnosis were found to be significantly higher than those of healthy controls' measurements at the time of their inclusion in the study (p = 0.007, p = 0.014 and p = 0.018, respectively). However, no significant difference was found when comparing the temporal muscle thickness of the 1st year of acromegaly treatment with the temporal muscle thickness of healthy controls at the time of their inclusion in the study (p = 0.155, p = 0.189, p = 0.198, respectively). In addition, a significant decrease was detected in the left, right and mean temporal muscle thicknesses of patients with acromegaly before and after treatment. While the temporal muscle thickness at the time of diagnosis was thicker in patients with acromegaly receiving surgical + medical treatment than in patients receiving exclusively surgical treatment, statistical significance was only found in the left temporal muscle thickness (p = 0.042). CONCLUSION Temporal muscle thickness was found to be associated with treatment modalities in patients with acromegaly.
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Affiliation(s)
- Serdar Sahin
- Department of Endocrinology and Metabolic Diseases, Istanbul University-Cerrahpasa, Cerrahpasa School of Medicine, Istanbul, Turkey
| | - Ahmet Oz
- Department of Radiology, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Burcu Saglamer
- Department of Endocrinology and Metabolic Diseases, Istanbul University-Cerrahpasa, Cerrahpasa School of Medicine, Istanbul, Turkey
| | - Cem Sulu
- Department of Endocrinology and Metabolic Diseases, Istanbul University-Cerrahpasa, Cerrahpasa School of Medicine, Istanbul, Turkey
| | - Ahmet Numan Demir
- Department of Endocrinology and Metabolic Diseases, Istanbul University-Cerrahpasa, Cerrahpasa School of Medicine, Istanbul, Turkey
| | - Lala Soltanova
- Department of Endocrinology and Metabolic Diseases, Istanbul University-Cerrahpasa, Cerrahpasa School of Medicine, Istanbul, Turkey
| | - Mustafa Duru
- Department of Endocrinology and Metabolic Diseases, Istanbul University-Cerrahpasa, Cerrahpasa School of Medicine, Istanbul, Turkey
| | - Serdar Arslan
- Department of Radiology, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Hande Mefkure Ozkaya
- Department of Endocrinology and Metabolic Diseases, Istanbul University-Cerrahpasa, Cerrahpasa School of Medicine, Istanbul, Turkey
| | - Osman Kizilkilic
- Department of Radiology, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Necmettin Tanriover
- Department of Neurosurgery, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Pinar Kadioglu
- Department of Endocrinology and Metabolic Diseases, Istanbul University-Cerrahpasa, Cerrahpasa School of Medicine, Istanbul, Turkey.
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Lin J, Su CQ, Tang WT, Xia ZW, Lu SS, Hong XN. Radiomic features on multiparametric MRI for differentiating pseudoprogression from recurrence in high-grade gliomas. Acta Radiol 2024; 65:1390-1400. [PMID: 39380365 DOI: 10.1177/02841851241283781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/10/2024]
Abstract
BACKGROUND Distinguishing between tumor recurrence and pseudoprogression (PsP) in high-grade glioma postoperatively is challenging. This study aims to enhance this differentiation using a combination of intratumoral and peritumoral radiomics. PURPOSE To assess the effectiveness of intratumoral and peritumoral radiomics in improving the differentiation between high-grade glioma recurrence and pseudoprogression after surgery. MATERIAL AND METHODS A total of 109 cases were randomly divided into training and validation sets, with 1316 features extracted from intratumoral and peritumoral volumes of interest (VOIs) on conventional magnetic resonance imaging (MRI) and apparent diffusion coefficient (ADC) maps. Feature selection was performed using the mRMR algorithm, resulting in intratumoral (100 features), peritumoral (100 features), and combined (200 features) subsets. Optimal features were then selected using PCC and RFE algorithms and modeled using LR, SVM, and LDA classifiers. Diagnostic performance was compared using area under the receiver operating characteristic curve (AUC), evaluated in the validation set. A nomogram was established using radscores from intratumoral, peritumoral, and combined models. RESULTS The combined model, utilizing 14 optimal features (8 peritumoral, 6 intratumoral) and LR as the best classifier, outperformed the single intratumoral and peritumoral models. In the training set, the AUC values for the combined model, intratumoral model, and peritumoral model were 0.938, 0.921, and 0.847, respectively; in the validation set, the AUC values were 0.841, 0.755, and 0.705. The nomogram model demonstrated AUCs of 0.960 (training set) and 0.850 (validation set). CONCLUSION The combination of intratumoral and peritumoral radiomics is effective in distinguishing high-grade glioma recurrence from pseudoprogression after surgery.
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Affiliation(s)
- Jie Lin
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, PR China
| | - Chun-Qiu Su
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, PR China
| | - Wen-Tian Tang
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, PR China
| | - Zhi-Wei Xia
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, PR China
| | - Shan-Shan Lu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, PR China
| | - Xun-Ning Hong
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, PR China
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Gatto F, Milioto A, Corica G, Nista F, Campana C, Arecco A, Mattioli L, Belluscio L, Bignotti B, Ferone D, Tagliafico AS. Temporal and masseter muscle evaluation by MRI provides information on muscle mass and quality in acromegaly patients. Pituitary 2024; 27:507-517. [PMID: 38967765 PMCID: PMC11513697 DOI: 10.1007/s11102-024-01422-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/23/2024] [Indexed: 07/06/2024]
Abstract
PURPOSE The impact of GH/IGF-1 levels on skeletal muscle in acromegaly is still controversial. Temporal (TMT) and masseter muscle (MMT) thickness has been recently demonstrated as a reliable measure of muscle mass. We aimed to investigate the relationship between TMT, MMT and clinical/biochemical characteristics in patients with acromegaly. METHODS Single center retrospective longitudinal study including 69 patients with at least one available brain/sella turcica MRI and matched clinical data. TMT, MMT, and muscle fatty infiltration (modified Goutallier score) were evaluated in all patients at baseline (first available MRI) and over time (182 MRIs analyzed). RESULTS At baseline, both TMT and MMT were higher in males than females (p = 0.001 and p = 0.016, respectively). TMT and MMT were positively associated (β 0.508, p < 0.001), and they were positively correlated with IGF-1 xULN (TMT, p = 0.047; MMT, p = 0.001). MMT had a positive correlation with patients' weight (p = 0.015) and height (p = 0.006). No correlation was found between TMT, MMT and the presence of hypogonadism. Considering all available MRIs, sex and IGF-1 xULN were significant determinants of TMT and MMT at multivariable analysis (female sex: β -0.345/-0.426, p < 0.001; IGF-1 xULN: β 0.257/0.328, p < 0.001). At longitudinal evaluation, uncontrolled patients at baseline showed a significant reduction of MMT over time (p = 0.044). Remarkable fatty infiltration was observed in 34-37% of MRIs; age was the main determinant (temporal muscle: OR 1.665; p = 0.013; masseter muscle: OR 1.793; p = 0.009). CONCLUSION Male patients with higher IGF-1 values have thicker temporal and masseter muscles, suggesting that sex and IGF-1 have a significant impact on muscle mass in acromegaly.
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Affiliation(s)
- Federico Gatto
- Endocrinology Unit, IRCCS Ospedale Policlinico San Martino, Largo Rosanna Benzi, 10, Genoa, 16132, Italy.
| | - Angelo Milioto
- Endocrinology Unit, IRCCS Ospedale Policlinico San Martino, Largo Rosanna Benzi, 10, Genoa, 16132, Italy
- Endocrinology Unit, Department of Internal Medicine and Medical Specialties (DIMI), Centre of Excellence for Biomedical Research (CEBR), University of Genova, Genoa, Italy
| | - Giuliana Corica
- Endocrinology Unit, IRCCS Ospedale Policlinico San Martino, Largo Rosanna Benzi, 10, Genoa, 16132, Italy
- Endocrinology Unit, Department of Internal Medicine and Medical Specialties (DIMI), Centre of Excellence for Biomedical Research (CEBR), University of Genova, Genoa, Italy
| | - Federica Nista
- Radiology Section, Department of Health Sciences (DISSAL), University of Genova, Genoa, Italy
| | - Claudia Campana
- Endocrinology Unit, Department of Internal Medicine and Medical Specialties (DIMI), Centre of Excellence for Biomedical Research (CEBR), University of Genova, Genoa, Italy
| | - Anna Arecco
- Endocrinology Unit, Department of Internal Medicine and Medical Specialties (DIMI), Centre of Excellence for Biomedical Research (CEBR), University of Genova, Genoa, Italy
| | - Lorenzo Mattioli
- Endocrinology Unit, Department of Internal Medicine and Medical Specialties (DIMI), Centre of Excellence for Biomedical Research (CEBR), University of Genova, Genoa, Italy
| | - Lorenzo Belluscio
- Endocrinology Unit, Department of Internal Medicine and Medical Specialties (DIMI), Centre of Excellence for Biomedical Research (CEBR), University of Genova, Genoa, Italy
| | - Bianca Bignotti
- Radiology Section, Department of Health Sciences (DISSAL), University of Genova, Genoa, Italy
| | - Diego Ferone
- Endocrinology Unit, IRCCS Ospedale Policlinico San Martino, Largo Rosanna Benzi, 10, Genoa, 16132, Italy
- Endocrinology Unit, Department of Internal Medicine and Medical Specialties (DIMI), Centre of Excellence for Biomedical Research (CEBR), University of Genova, Genoa, Italy
| | - Alberto Stefano Tagliafico
- Radiology Section, Department of Health Sciences (DISSAL), University of Genova, Genoa, Italy
- Department of Radiology, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
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Korhonen TK, Arponen O, Steinruecke M, Pecorella I, Mee H, Yordanov S, Viaroli E, Guilfoyle MR, Kolias A, Timofeev I, Hutchinson P, Helmy A. Reduced temporal muscle thickness predicts shorter survival in patients undergoing chronic subdural haematoma drainage. J Cachexia Sarcopenia Muscle 2024; 15:1441-1450. [PMID: 38720242 PMCID: PMC11294050 DOI: 10.1002/jcsm.13489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 03/15/2024] [Accepted: 03/26/2024] [Indexed: 08/03/2024] Open
Abstract
BACKGROUND Chronic subdural haematoma (CSDH) drainage is a common neurosurgical procedure. CSDHs cause excess mortality, which is exacerbated by frailty. Sarcopenia contributes to frailty - its key component, low muscle mass, can be assessed using cross-sectional imaging. We aimed to examine the prognostic role of temporal muscle thickness (TMT) measured from preoperative computed tomography head scans among patients undergoing surgical CSDH drainage. METHODS We retrospectively identified all patients who underwent CSDH drainage within 1 year of February 2019. We measured their mean TMT from preoperative computed tomography scans, tested the reliability of these measurements, and evaluated their prognostic value for postoperative survival. RESULTS One hundred and eighty-eight (122, 65% males) patients (median age 78 years, IQR 70-85 years) were included. Thirty-four (18%) patients died within 2 years, and 51 (27%) died at a median follow-up of 39 months (IQR 34-42 months). Intra- and inter-observer reliability of TMT measurements was good-to-excellent (ICC 0.85-0.97, P < 0.05). TMT decreased with age (Pearson's r = -0.38, P < 0.001). Females had lower TMT than males (P < 0.001). The optimal TMT cut-off values for predicting two-year survival were 4.475 mm for males and 3.125 mm for females. TMT below these cut-offs was associated with shorter survival in both univariate (HR 3.24, 95% CI 1.85-5.67) and multivariate (HR 1.86, 95% CI 1.02-3.36) analyses adjusted for age, ASA grade and bleed size. The effect of TMT on mortality was not mediated by age. CONCLUSIONS In patients with CSDH, TMT measurements from preoperative imaging were reliable and contained prognostic information supplemental to previously known predictors of poor outcomes.
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Affiliation(s)
- Tommi K. Korhonen
- Division of Neurosurgery, Department of Clinical NeurosciencesCambridge University Hospitals NHS Foundation Trust & University of CambridgeCambridgeUK
- Department of Neurosurgery, Neurocenter OYSOulu University HospitalOuluFinland
- Department of Neurosurgery, Research Unit of Clinical NeurosciencesUniversity of OuluOuluFinland
| | - Otso Arponen
- Department of RadiologyUniversity of CambridgeCambridgeUK
- Faculty of Medicine and Health SciencesTampere UniversityTampereFinland
- Department of RadiologyTampere University HospitalTampereFinland
| | - Moritz Steinruecke
- Division of Neurosurgery, Department of Clinical NeurosciencesCambridge University Hospitals NHS Foundation Trust & University of CambridgeCambridgeUK
| | - Ilaria Pecorella
- Division of Neurosurgery, Department of Clinical NeurosciencesCambridge University Hospitals NHS Foundation Trust & University of CambridgeCambridgeUK
| | - Harry Mee
- Division of Neurosurgery, Department of Clinical NeurosciencesCambridge University Hospitals NHS Foundation Trust & University of CambridgeCambridgeUK
| | - Stefan Yordanov
- Division of Neurosurgery, Department of Clinical NeurosciencesCambridge University Hospitals NHS Foundation Trust & University of CambridgeCambridgeUK
| | - Edoardo Viaroli
- Division of Neurosurgery, Department of Clinical NeurosciencesCambridge University Hospitals NHS Foundation Trust & University of CambridgeCambridgeUK
| | - Mathew R. Guilfoyle
- Division of Neurosurgery, Department of Clinical NeurosciencesCambridge University Hospitals NHS Foundation Trust & University of CambridgeCambridgeUK
| | - Angelos Kolias
- Division of Neurosurgery, Department of Clinical NeurosciencesCambridge University Hospitals NHS Foundation Trust & University of CambridgeCambridgeUK
| | - Ivan Timofeev
- Division of Neurosurgery, Department of Clinical NeurosciencesCambridge University Hospitals NHS Foundation Trust & University of CambridgeCambridgeUK
| | - Peter Hutchinson
- Division of Neurosurgery, Department of Clinical NeurosciencesCambridge University Hospitals NHS Foundation Trust & University of CambridgeCambridgeUK
| | - Adel Helmy
- Division of Neurosurgery, Department of Clinical NeurosciencesCambridge University Hospitals NHS Foundation Trust & University of CambridgeCambridgeUK
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Tang J, Dong Z, Yang L, Yang P, Zhao W, Deng L, Xue J, Cui Y, Li Q, Tang L, Sheng J, Zhang Y, Zhang H, Chen T, Dong B, Lv X. The relationship between prognosis and temporal muscle thickness in 102 patients with glioblastoma. Sci Rep 2024; 14:13958. [PMID: 38886495 PMCID: PMC11183225 DOI: 10.1038/s41598-024-64947-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Accepted: 06/14/2024] [Indexed: 06/20/2024] Open
Abstract
Temporal muscle thickness measured on 3D MRI has recently been linked to prognosis in glioblastoma patients and may serve as an independent prognostic indicator. This single-center study looked at temporal muscle thickness and prognosis in patients with primary glioblastoma. Overall survival was the major study outcome. For a retrospective analysis from 2010 to 2020, clinical data from 102 patients with glioblastoma at the Department of Oncology Radiotherapy of the First Affiliated Hospital of Dalian Medical University were gathered. Fifty-five cases from 2016 to 2020 contained glioblastoma molecular typing data, of which 45 were IDH wild-type glioblastomas and were analysed separately. TMT was measured on enhanced T1-weighted magnetic resonance images in patients with newly diagnosed glioblastoma.Overall patient survival (OS) was calculated by the Kaplan-Meier method and survival curves were plotted using the log-rank-sum test to determine differences between groups, and multifactorial analyses were performed using a Cox proportional-risk model.The median TMT for 102 patients was 6.775 mm (range: 4.95-10.45 mm). Patients were grouped according to median TMT, and the median overall survival (23.0 months) was significantly longer in the TMT > median group than in the TMT median group (P 0.001; Log-rank test). Analysing 45 patients with IDH wild type alone, the median overall survival (12 months) of patients in the TMT > median group was significantly longer than that of patients in the TMT ≤ median group (8 months) (P < 0.001; Log-rank test).TMT can serve as an independent prognostic factor for glioblastoma.
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Affiliation(s)
- Jinhai Tang
- Department of Radiation Oncology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Zhenghao Dong
- Department of Thoracic Surgery, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Lei Yang
- Department of Radiation Oncology, The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Ping Yang
- Department of Radiation Oncology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Wanying Zhao
- Department of Radiation Oncology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Lvdan Deng
- Department of Radiation Oncology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Juan Xue
- Department of Radiation Oncology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Yijie Cui
- Department of Radiation Oncology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Qizheng Li
- Department of Radiation Oncology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Lufan Tang
- Department of Radiation Oncology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Junxiu Sheng
- Department of Radiation Oncology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Yu Zhang
- Department of Radiation Oncology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Huimin Zhang
- Department of Radiation Oncology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Tongtong Chen
- Department of Radiation Oncology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Bin Dong
- Department of Neurosurgery, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
| | - Xiupeng Lv
- Department of Radiation Oncology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
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Park KM, Lee HJ, Park BS, Wi JH, Kwon YU, Lee WH, Lee DA, Kim J. Temporal Muscle Thickness and Sarcopenia Components in Healthy Adults, Validated through Allgeun Diagnostic Tool. Healthcare (Basel) 2024; 12:1012. [PMID: 38786421 PMCID: PMC11121107 DOI: 10.3390/healthcare12101012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Revised: 05/06/2024] [Accepted: 05/13/2024] [Indexed: 05/25/2024] Open
Abstract
Sarcopenia, characterized by progressive muscle loss and functional decline, poses significant risks, including falls, impaired daily activities, and increased mortality. We developed Allgeun, a novel device that measures handgrip strength, muscle mass, and physical performance. This study aimed to investigate whether temporal muscle thickness (TMT) could be used as a sarcopenia marker and to evaluate the usability of Allgeun. This prospective study enrolled 28 participants without medical or neurological disorders. They underwent three-dimensional T1-weighted imaging using a 3 Tesla magnetic resonance imaging scanner. TMT was measured based on T1-weighted images by a board-certified neuroradiologist. Allgeun was used to measure the following three key components of sarcopenia: muscle strength (handgrip strength), muscle mass (calf and thigh circumference), and physical performance (five times the chair stand test). Correlation analysis was conducted between TMT and the results of the handgrip strength, calf and thigh circumferences, and chair stand tests. There were moderate positive correlations between TMT and calf circumference (r = 0.413, p = 0.029), thigh circumference (r = 0.486, p = 0.008), and handgrip strength (r = 0.444, p = 0.018). However, no significant correlation was observed between TMT and physical performance (r = -0.000, p = 0.998). Our findings underscore TMT's potential as an indicator of sarcopenia, particularly regarding muscle mass and strength. Additionally, we demonstrated that the new device, Allgeun, is useful for screening and diagnosing the severity of sarcopenia.
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Affiliation(s)
- Kang Min Park
- Department of Neurology, Haeundae Paik Hospital, Inje University College of Medicine, Busan 48108, Republic of Korea; (K.M.P.); (D.A.L.)
| | - Ho-Joon Lee
- Department of Radiology, Haeundae Paik Hospital, Inje University College of Medicine, Busan 48108, Republic of Korea
| | - Bong Soo Park
- Department of Internal Medicine, Haeundae Paik Hospital, Inje University College of Medicine, Busan 48108, Republic of Korea;
| | - Jin-Hong Wi
- Department of Thoracic and Cardiovascular Surgery, Busan Paik Hospital, Inje University College of Medicine, Busan 47392, Republic of Korea;
| | - Yong-Uk Kwon
- Department of Orthopedic Surgery, Busan Paik Hospital, Inje University College of Medicine, Busan 47392, Republic of Korea;
| | - Won Hee Lee
- Department of Neurosurgery, Busan Paik Hospital, Inje University College of Medicine, Busan 47392, Republic of Korea;
| | - Dong Ah Lee
- Department of Neurology, Haeundae Paik Hospital, Inje University College of Medicine, Busan 48108, Republic of Korea; (K.M.P.); (D.A.L.)
| | - Jinseung Kim
- Department of Family Medicine, Busan Paik Hospital, Inje University College of Medicine, Busan 47392, Republic of Korea
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Han JM, Kim DH, Lee BC. Association between the Thickness or Area of the Temporal Muscle and Skeletal Muscle Mass in Bioimpedance Analysis. Gerontology 2024; 70:823-830. [PMID: 38657583 PMCID: PMC11309061 DOI: 10.1159/000539063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Accepted: 04/22/2024] [Indexed: 04/26/2024] Open
Abstract
INTRODUCTION Sarcopenia associated with stroke can significantly impact patient prognosis; however, the current standard diagnostic methods for sarcopenia are rarely used in stroke patients. Therefore, the aim of the current study was to investigate whether the temporal muscle thickness (TMT) or area (TMA) could serve as a surrogate marker for measuring skeletal muscle mass. METHODS This retrospective chart review study was conducted on 244 participants from March 2018 to February 2020. The TMT and TMA were measured at the supraorbital roof level using brain CT or T1-weighted MR imaging obtained from participants. The skeletal muscle mass and skeletal muscle index (SMI) and whole-body phase angle (WBPA) at 50 kHz were collected. Pearson correlation analysis was used to assess the relationship between the TMT or TMA and the results of the bioimpedance analysis. RESULTS The mean TMT showed significant positive correlations with skeletal muscle mass (male, r = 0.520; female, r = 0.706), SMI (male, r = 0.426; female, r = 0.582), and WBPA (male, r = 0.295; female, r = 0.232). The mean TMA showed significant positive correlations with skeletal muscle mass (male, r = 0.490; female, r = 0.657), SMI (male, r = 0.289; female, r = 0.473), and WBPA (male, r = 0.232; female, r = 0.243). CONCLUSION We observed moderate to strong positive correlations between body composition analysis measured by BIA and TMT or TMA, suggesting that TMT or TMA could serve as a reliable surrogate marker for identifying low skeletal muscle mass in cerebrovascular disease.
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Affiliation(s)
- Jee Myung Han
- Department of Physical Medicine and Rehabilitation, Chung-Ang University Hospital, Seoul, South Korea
| | - Du Hwan Kim
- Department of Physical Medicine and Rehabilitation, Chung-Ang University Hospital, Seoul, South Korea
| | - Byung Chan Lee
- Department of Physical Medicine and Rehabilitation, Chung-Ang University Hospital, Seoul, South Korea
- Biomedical Research Institute, Chung-Ang University Hospital, Seoul, South Korea
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Borda MG, Baldera JP, Samuelsson J, Zettergren A, Rydén L, Westman E, Pérez-Zepeda MU, Kern S, Venegas LC, Duque G, Skoog I, Aarsland D. Temporal Muscle Thickness: A Practical Approximation for Assessing Muscle Mass in Older Adults. J Am Med Dir Assoc 2024; 25:664-670.e3. [PMID: 38307124 DOI: 10.1016/j.jamda.2023.12.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 12/04/2023] [Accepted: 12/09/2023] [Indexed: 02/04/2024]
Abstract
OBJECTIVE Ongoing research has evidenced the importance of muscle measurement in predicting adverse outcomes. Measurement of other muscles is promising in current research. This study aimed to determine the correlation between temporal muscle thickness (TMT) and appendicular lean soft tissue (ALSTI) in older adults. DESIGN Cross-sectional study. SETTINGS AND PARTICIPANTS Single cohort gathered in Gothenburg, Sweden, consisting of individuals born in 1944 (n = 1203). METHODS We studied 657 magnetic resonance images to measure TMT. Comparisons of TMT with dual-energy X-ray absorptiometry ALSTI (kg/m2) as a reference standard were performed. Finally, TMT associations with cognition evaluated using the Mini-Mental State Examination (MMSE), gait speed, and handgrip strength were explored with linear regressions. RESULTS The correlation between TMT and ALSTI was weak yet significant (r = 0.277, P < .001). TMT exhibited significant associations with MMSE (estimate = 0.168, P = .002), gait speed (estimate = 1.795, P < .001), and ALSTI (estimate = 0.508, P < .001). These associations varied when analyzed by sex. In women, TMT was significantly associated with gait speed (estimate = 1.857, P = .005) and MMSE (estimate = 0.223, P = .003). In men, TMT scores were significantly correlated with ALSTI scores (estimate = 0.571, P < .001). CONCLUSION AND IMPLICATIONS Repurposing head images can be an accessible alternative to detect muscle mass and ultimately detect sarcopenia. These studies have the potential to trigger interventions or further evaluation to improve the muscle and overall health of individuals. However, additional research is warranted before translating these findings into clinical practice.
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Affiliation(s)
- Miguel German Borda
- Centre for Age-Related Medicine (SESAM), Stavanger University Hospital, Stavanger, Norway; Semillero de Neurociencias y Envejecimiento, Ageing Institute, Medical School, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Jonathan Patricio Baldera
- Centre for Age-Related Medicine (SESAM), Stavanger University Hospital, Stavanger, Norway; Escuela de Estadística de la Universidad Autónoma de Santo Domingo, Santo Domingo, República Dominicana
| | - Jessica Samuelsson
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Anna Zettergren
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Lina Rydén
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Eric Westman
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Karolinska Institutet, Stockholm, Sweden
| | - Mario Ulises Pérez-Zepeda
- Dirección de Investigación, Instituto Nacional de Geriatría, Mexico City, Mexico; Centro de Investigación en Ciencias de la Salud (CICSA), FCS, Universidad Anáhuac México Campus Norte, Huixquilucan Edo. de México, Mexico.
| | - Silke Kern
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Department of Psychiatry, Cognition and Old Age Psychiatry, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Luis Carlos Venegas
- Hospital Universitario Maryor-Méderi, Universidad del Rosario, Bogotá, Colombia
| | - Gustavo Duque
- Bone, Muscle & Geroscience Research Group, Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada; Dr. Joseph Kaufmann Chair in Geriatric Medicine, Department of Medicine, McGill University, Montreal, Quebec, Canada
| | - Ingmar Skoog
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Department of Psychiatry, Cognition and Old Age Psychiatry, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Dag Aarsland
- Centre for Age-Related Medicine (SESAM), Stavanger University Hospital, Stavanger, Norway; Department of Old Age Psychiatry, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom
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9
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Olukoya O, Osunronbi T, Jesuyajolu DA, Uwaga BC, Vaughan A, Aluko O, Ayantayo TO, Daniel JO, David SO, Jagunmolu HA, Kanu A, Kayode AT, Olajide TN, Thorne L. The prognostic utility of temporalis muscle thickness measured on magnetic resonance scans in patients with intra-axial malignant brain tumours: A systematic review and meta-analysis. World Neurosurg X 2024; 22:100318. [PMID: 38440376 PMCID: PMC10911852 DOI: 10.1016/j.wnsx.2024.100318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 02/21/2024] [Indexed: 03/06/2024] Open
Abstract
Introduction Sarcopenia is associated with worsened outcomes in solid cancers. Temporalis muscle thickness (TMT) has emerged as a measure of sarcopenia. Hence, this study aims to evaluate the relationship between TMT and outcome measures in patients with malignant intra-axial neoplasms. Method We searched Medline, Embase, Scopus and Cochrane databases for relevant studies. Event ratios with 95% confidence intervals (CI) were analysed using the RevMan 5.4 software. Where meta-analysis was impossible, vote counting was used to determine the effect of TMT on outcomes. The GRADE framework was used to determine the certainty of the evidence. Results Four outcomes were reported for three conditions across 17 studies involving 4430 patients. Glioblastoma: thicker TMT was protective for overall survival (OS) (HR 0.59; 95% CI 0.46-0.76) (GRADE low), progression free survival (PFS) (HR 0.40; 95% CI 0.26-0.62) (GRADE high), and early discontinuation of treatment (OR 0.408; 95% CI 0.168-0.989) (GRADE high); no association with complications (HR 0.82; 95% CI 0.60-1.10) (GRADE low). Brain Metastases: thicker TMT was protective for OS (HR 0.73; 95% CI 0.67-0.78) (GRADE moderate); no association with PFS (GRADE low). Primary CNS Lymphoma: TMT was protective for overall survival (HR 0.34; 95% CI 0.19-0.60) (GRADE moderate) and progression free survival (HR 0.23; 95% CI 0.09-0.56) (GRADE high). Conclusion TMT has significant prognostic potential in intra-axial malignant neoplasms, showing a moderate to high certainty for its association with outcomes following GRADE evaluation. This will enable shared decision making between patients and clinicians.
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Affiliation(s)
- Olatomiwa Olukoya
- Neurosurgery Department, Surgery Interest Group of Africa, Lagos, Nigeria
- The National Hospital for Neurology and Neurosurgery, London, United Kingdom
| | - Temidayo Osunronbi
- Neurosurgery Department, Surgery Interest Group of Africa, Lagos, Nigeria
- Department of Neurosurgery, Royal Hallamshire Hospital, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, United Kingdom
| | | | - Blossom C. Uwaga
- Neurosurgery Department, Surgery Interest Group of Africa, Lagos, Nigeria
| | - Ayomide Vaughan
- Neurosurgery Department, Surgery Interest Group of Africa, Lagos, Nigeria
| | - Oluwabusayo Aluko
- Neurosurgery Department, Surgery Interest Group of Africa, Lagos, Nigeria
| | | | | | - Samuel O. David
- Neurosurgery Department, Surgery Interest Group of Africa, Lagos, Nigeria
| | | | - Alieu Kanu
- Neurosurgery Department, Surgery Interest Group of Africa, Lagos, Nigeria
| | - Ayomide T. Kayode
- Neurosurgery Department, Surgery Interest Group of Africa, Lagos, Nigeria
| | - Tobi N. Olajide
- Neurosurgery Department, Surgery Interest Group of Africa, Lagos, Nigeria
| | - Lewis Thorne
- The National Hospital for Neurology and Neurosurgery, London, United Kingdom
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10
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Janović A, Miličić B, Antić S, Bracanović Đ, Marković-Vasiljković B. Feasibility of using cross-sectional area of masticatory muscles to predict sarcopenia in healthy aging subjects. Sci Rep 2024; 14:2079. [PMID: 38267441 PMCID: PMC10808244 DOI: 10.1038/s41598-024-51589-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 01/07/2024] [Indexed: 01/26/2024] Open
Abstract
Determination of sarcopenia is crucial in identifying patients at high risk of adverse health outcomes. Recent studies reported a significant decline in masticatory muscle (MM) function in patients with sarcopenia. This study aimed to analyze the cross-sectional area (CSA) of MMs on computed tomography (CT) images and to explore their potential to predict sarcopenia. The study included 149 adult subjects retrospectively (59 males, 90 females, mean age 57.4 ± 14.8 years) who underwent head and neck CT examination for diagnostic purposes. Sarcopenia was diagnosed on CT by measuring CSA of neck muscles at the C3 vertebral level and estimating skeletal muscle index. CSA of MMs (temporal, masseter, medial pterygoid, and lateral pterygoid) were measured bilaterally on reference CT slices. Sarcopenia was diagnosed in 67 (45%) patients. Univariate logistic regression analysis demonstrated a significant association between CSA of all MMs and sarcopenia. In the multivariate logistic regression model, only masseter CSA, lateral pterygoid CSA, age, and gender were marked as predictors of sarcopenia. These parameters were combined in a regression equation, which showed excellent sensitivity and specificity in predicting sarcopenia. The masseter and lateral pterygoid CSA can be used to predict sarcopenia in healthy aging subjects with a high accuracy.
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Affiliation(s)
- Aleksa Janović
- School of Dental Medicine, Center for Diagnostic Imaging, University of Belgrade, 6 Rankeova, 11000, Belgrade, Republic of Serbia.
| | - Biljana Miličić
- School of Dental Medicine, Department of Statistics, University of Belgrade, 2 dr Subotića, 11000, Belgrade, Republic of Serbia
| | - Svetlana Antić
- School of Dental Medicine, Center for Diagnostic Imaging, University of Belgrade, 6 Rankeova, 11000, Belgrade, Republic of Serbia
| | - Đurđa Bracanović
- School of Dental Medicine, Center for Diagnostic Imaging, University of Belgrade, 6 Rankeova, 11000, Belgrade, Republic of Serbia
| | - Biljana Marković-Vasiljković
- School of Dental Medicine, Center for Diagnostic Imaging, University of Belgrade, 6 Rankeova, 11000, Belgrade, Republic of Serbia
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11
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Kim J, Lee HI, Kim IA, Lee JH, Cho J, Wee CW, Yoon HI. De Ritis ratio in elderly glioblastoma patients treated with chemoradiation: A comprehensive analysis of serum biomarkers. Neurooncol Adv 2024; 6:vdad173. [PMID: 38288092 PMCID: PMC10824161 DOI: 10.1093/noajnl/vdad173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2024] Open
Abstract
Background We aimed to comprehensively investigate the prognostic value of pretreatment laboratory parameters in elderly patients with glioblastoma treated with temozolomide (TMZ)-based chemoradiation. Methods Patients aged ≥ 65 years from 4 institutions with newly diagnosed IDH-wild-type glioblastoma who received radiotherapy (RT) with concurrent TMZ between 2006 and 2021 were included. Patient factors (age, Karnofsky performance status (KPS), temporalis muscle thickness), molecular factors (MGMT promoter methylation, EGFR amplification, TERT promoter mutation, and TP53 mutation status), treatment factors (extent of resection, and RT dose), and pretreatment laboratory parameters (serum De Ritis ratio, glucose level, neutrophil-to-lymphocyte ratio, platelet count, and systemic immune-inflammation index) were included in the analysis. The primary endpoint was overall survival (OS). Results In total, 490 patients were included in the analysis. The median follow-up period was 12.3 months (range, 1.6-149.9 months). Median OS was significantly prolonged in patients with De Ritis ratio < 1.2 (18.2 vs 15.3 months, P = .022) and in patients with glucose level < 150 mg/dL (18.7 vs 16.5 months, P = .034) per univariate analysis. In multivariate analysis, KPS ≥ 70, MGMT promoter methylation, extent of resection greater than partial resection, De Ritis ratio < 1.2, and glucose level < 150 mg/dL were significant prognostic factors for improved OS. Conclusions Along with well-known prognostic factors, pre-RT serum biomarkers, including the De Ritis ratio and glucose level, also had prognostic value in elderly patients with glioblastoma treated with TMZ-based chemoradiation.
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Affiliation(s)
- Jina Kim
- Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Seoul, Korea
| | - Hye In Lee
- Department of Radiation Oncology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
- Department of Radiation Oncology, Asan Medical Center, Seoul, Korea
| | - In Ah Kim
- Department of Radiation Oncology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Joo Ho Lee
- Department of Radiation Oncology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Jaeho Cho
- Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Seoul, Korea
| | - Chan Woo Wee
- Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Seoul, Korea
- Department of Radiation Oncology, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
| | - Hong In Yoon
- Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Seoul, Korea
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12
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Furtner J. Craniofacial musculature assessment: A novel technique for predicting stroke patient outcomes. Eur J Radiol 2023; 167:111024. [PMID: 37572561 DOI: 10.1016/j.ejrad.2023.111024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 08/01/2023] [Indexed: 08/14/2023]
Affiliation(s)
- J Furtner
- Research Center for Medical Image Analysis and Artificial Intelligence (MIAAI), Faculty of Medicine and Dentistry, Danube Private University, Rathausplatz 1, 3500 Krems, Austria.
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13
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Dubinski D, Won SY, Mattes I, Trnovec S, Behmanesh B, Cantré D, Baumgarten P, Dinc N, Konczalla J, Wittstock M, Freiman TM, Gessler F. Frailty in cerebellar ischemic stroke-The significance of temporal muscle thickness. Front Neurol 2023; 14:1193685. [PMID: 37822528 PMCID: PMC10562580 DOI: 10.3389/fneur.2023.1193685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 09/04/2023] [Indexed: 10/13/2023] Open
Abstract
While comprising only 2% of all ischemic strokes, cerebellar strokes are responsible for substantial morbidity and mortality due to their subtle initial presentation and the morbidity of posterior fossa swelling. Furthermore, low temporal muscle thickness (TMT) has recently been identified as a prognostic imaging parameter to assess patient frailty and outcome. We analyzed radiological and clinical data sets of 282 patients with cerebellar ischemic stroke. Our analysis showed a significant association between low TMT, reduced NIHSS and mRS at discharge (p = 0.035, p = 0.004), and reduced mRS at 12 months (p = 0.001). TMT may be used as a prognostic imaging marker and objective tool to assess outcomes in patients with cerebellar ischemic stroke.
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Affiliation(s)
- Daniel Dubinski
- Department of Neurosurgery, University Medicine Rostock, Rostock, Germany
| | - Sae-Yeon Won
- Department of Neurosurgery, University Medicine Rostock, Rostock, Germany
| | - Isabell Mattes
- Department of Neurosurgery, University Medicine Rostock, Rostock, Germany
| | - Svorad Trnovec
- Department of Neurosurgery, University Medicine Rostock, Rostock, Germany
| | - Bedjan Behmanesh
- Department of Neurosurgery, University Medicine Rostock, Rostock, Germany
| | - Daniel Cantré
- Institute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, University Medicine Rostock, Rostock, Germany
| | - Peter Baumgarten
- Department of Neurosurgery, University Hospital, Schiller University Jena, Jena, Germany
| | - Nazife Dinc
- Department of Neurosurgery, University Hospital, Schiller University Jena, Jena, Germany
| | - Juergen Konczalla
- Department of Neurosurgery, Goethe-University Hospital, Frankfurt am Main, Germany
| | | | - Thomas M. Freiman
- Department of Neurosurgery, University Medicine Rostock, Rostock, Germany
| | - Florian Gessler
- Department of Neurosurgery, University Medicine Rostock, Rostock, Germany
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14
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Tang J, Dong Z, Sheng J, Yang P, Zhao W, Xue J, Li Q, Lv L, Lv X. Advances in the relationship between temporal muscle thickness and prognosis of patients with glioblastoma: a narrative review. Front Oncol 2023; 13:1251662. [PMID: 37771443 PMCID: PMC10525700 DOI: 10.3389/fonc.2023.1251662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Accepted: 08/28/2023] [Indexed: 09/30/2023] Open
Abstract
The most dangerous variety of glioma, glioblastoma, has a high incidence and fatality rate. The prognosis for patients is still bleak despite numerous improvements in treatment approaches. We urgently need to develop clinical parameters that can evaluate patients' conditions and predict their prognosis. Various parameters are available to assess the patient's preoperative performance status and degree of frailty, but most of these parameters are subjective and therefore subject to interobserver variability. Sarcopenia can be used as an objective metric to measure a patient's physical status because studies have shown that it is linked to a bad prognosis in those with cancers. For the purpose of identifying sarcopenia, temporal muscle thickness has demonstrated to be a reliable alternative for a marker of skeletal muscle content. As a result, patients with glioblastoma may use temporal muscle thickness as a potential marker to correlate with the course and fate of their disease. This narrative review highlights and defines the viability of using temporal muscle thickness as an independent predictor of survival in glioblastoma patients, and it evaluates recent research findings on the association between temporal muscle thickness and prognosis of glioblastoma patients.
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Affiliation(s)
- Jinhai Tang
- Department of Radiation Oncology, the First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Zhenghao Dong
- Department of Thoracic Surgery, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Junxiu Sheng
- Department of Radiation Oncology, the First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Ping Yang
- Department of Radiation Oncology, the First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Wanying Zhao
- Department of Radiation Oncology, the First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Juan Xue
- Department of Radiation Oncology, the First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Qizheng Li
- Department of Radiation Oncology, the First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Li Lv
- Department of Pathology, the Second Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Xiupeng Lv
- Department of Radiation Oncology, the First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
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15
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Karadag C, Kamp MA, Fischer I, Boogaarts HD, Beseoglu K, Muhammad S, Cornelius JF, Hofmann BB. Initial Temporal Muscle Thickness and Area: Poor Predictors of Neurological Outcome in Aneurysmal Subarachnoid Hemorrhage in a Central European Patient Cohort. J Clin Med 2023; 12:5210. [PMID: 37629252 PMCID: PMC10456053 DOI: 10.3390/jcm12165210] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 08/07/2023] [Accepted: 08/08/2023] [Indexed: 08/27/2023] Open
Abstract
The temporalis muscle area (TMA) has been proclaimed as a surrogate parameter for estimating skeletal muscle mass. Pilot studies in Asian populations suggested temporal muscle thickness (TMT) and TMA as prognostic factors for neurological outcomes in aneurysmal subarachnoid hemorrhage (aSAH) patients. This study aimed to validate these findings in a larger European patient cohort. We retrospectively analyzed age, sex, aneurysm location, treatment, World Federation of Neurosurgical Societies (WFNS) grade, Fisher score, and modified Rankin Score (mRS) at six months in patients with aSAH. TMT and TMA measurements were obtained from initial native CT scans. Logistic regression with the dichotomized six-month mRS as the outcome incorporating TMT, weighted average of TMT, or TMA as predictors was performed. Of the included 478 patients, 66% were female, the mean age was 56, and 48% of patients had an mRS of three to six after six months. The mean TMT at the level of the Sylvian fissure was 5.9 (±1.7) mm in males and 4.8 (±1.8) mm in females. The mean TMA was 234.5 (±107.9) mm2 in females and 380 (±134.1) mm2 in males. WFNS grade (p < 0.001), Fisher score (p < 0.001), and age (p < 0.05) correlated significantly with the mRS after six months. No correlation was found between mRS after six months and the TMT at the Sylvian fissure (p = 0.3), the weighted average of TMT (p = 0.1), or the TMA (p = 0.1). In this central European patient cohort of 478 individuals, no significant associations were found between TMT/TMA and neurological outcomes following aSAH. Further prospective studies in diverse patient populations are necessary to determine the prognostic value of TMA and TMT in aSAH patients.
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Affiliation(s)
- Cihat Karadag
- Department of Neurosurgery, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Moorenstr. 5, 40225 Düsseldorf, Germany
| | - Marcel A. Kamp
- Centre for Palliative and Neuro-Palliative Care, Brandenburg Medical School Theodor Fontane, Campus Rüdersdorf, 15562 Rüdersdorf bei Berlin, Germany
| | - Igor Fischer
- Department of Neurosurgery, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Moorenstr. 5, 40225 Düsseldorf, Germany
| | - Hieronymus D. Boogaarts
- Department of Neurosurgery, Medical Faculty, Radboud University Nijmegen, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, The Netherlands
| | - Kerim Beseoglu
- Department of Neurosurgery, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Moorenstr. 5, 40225 Düsseldorf, Germany
| | - Sajjad Muhammad
- Department of Neurosurgery, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Moorenstr. 5, 40225 Düsseldorf, Germany
| | - Jan F. Cornelius
- Department of Neurosurgery, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Moorenstr. 5, 40225 Düsseldorf, Germany
| | - Björn B. Hofmann
- Department of Neurosurgery, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Moorenstr. 5, 40225 Düsseldorf, Germany
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16
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Jost J, Müther M, Brandt R, Altuner U, Lemcke L, Stummer W, Völker K, Wiewrodt R, Wiewrodt D. Conceptual development of an intensive exercise program for glioma patients (ActiNO): summary of clinical experience. J Neurooncol 2023:10.1007/s11060-023-04354-y. [PMID: 37306887 PMCID: PMC10322750 DOI: 10.1007/s11060-023-04354-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Accepted: 05/24/2023] [Indexed: 06/13/2023]
Abstract
PURPOSE Exercise proved to reduce cancer-related symptoms and prolong survival in some cancer types. However, brain tumor patients are often advised against strenuous exercise. Here, we summarize our experience with a submaximal exercise program for glioma patients: ActiNO (Active in Neuro-Oncology). METHODS Glioma patients were invited to participate in the program. Since 2011, a sports scientist individualized two one-hour sessions per week adapted to the patients' symptoms. One session consisted of bicycle ergometry (average workload: 75% of maximum heart rate), the other of whole-body resistance training. Both sessions were further complimented by coordinative elements. Cardiorespiratory fitness was assessed using the "Physical Work Capacity" procedure. Patients were followed up regularly to assess adherence to the program and disease activity. RESULTS Until December 2019, 45 glioma patients, median-aged 49 years (IQR 42-59), were included in the analysis. Most patients suffered from glioblastoma (58%), followed by diffuse lower-grade astrocytoma (29%). In overall 1828 training sessions, two minor epileptic events occurred (1 speech arrest; 1 focal seizure). During fitness assessment, all patients achieved at least 75% of their age-adjusted maximum heart rate. Peak workload averaged 172 W (95% CI 156-187). Median survival of participating glioblastoma patients was 24.1 months (95% CI 8.6-39.5). CONCLUSION This supervised training program with submaximal exertion was feasible and safe in glioma regardless of WHO grading. Based on these experiences, we initiated a prospective multicenter study to objectify improvements in physical performance and quality of life in patients with glioblastoma.
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Affiliation(s)
- Johanna Jost
- Department of Neurosurgery, University Hospital, University Münster, Münster, Germany.
| | - Michael Müther
- Department of Neurosurgery, University Hospital, University Münster, Münster, Germany
| | - Ralf Brandt
- Department of Neurosurgery, University Hospital, University Münster, Münster, Germany
| | - Ugur Altuner
- Department of Neurosurgery, University Hospital, University Münster, Münster, Germany
- Department of Medicine D, University Hospital, University Münster, Münster, Germany
| | - Lars Lemcke
- Department of Neurosurgery, University Hospital, University Münster, Münster, Germany
| | - Walter Stummer
- Department of Neurosurgery, University Hospital, University Münster, Münster, Germany
| | - Klaus Völker
- Institute of Sports Science, University Hospital, University Münster, Münster, Germany
| | - Rainer Wiewrodt
- Pulmonary Research Division, Department of Medicine A, University Hospital, University, Münster, Germany
| | - Dorothee Wiewrodt
- Department of Neurosurgery, University Hospital, University Münster, Münster, Germany
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17
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Weller J, Katzendobler S, Niedermeyer S, Harter PN, Herms J, Trumm C, Niyazi M, Thon N, Tonn JC, Stoecklein VM. Treatment benefit in patients aged 80 years or older with biopsy-proven and non-resected glioblastoma is dependent on MGMT promoter methylation status. J Neurooncol 2023:10.1007/s11060-023-04362-y. [PMID: 37289281 PMCID: PMC10322768 DOI: 10.1007/s11060-023-04362-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 06/01/2023] [Indexed: 06/09/2023]
Abstract
PURPOSE Glioblastoma is associated with especially poor outcome in the elderly. It is unclear if patients aged ≥80 years benefit from tumor-specific therapy as opposed to receiving best supportive care (BSC) only. METHODS Patients with IDH-wildtype glioblastoma (WHO 2021), aged ≥80 years, and diagnosed by biopsy between 2010 and 2022 were included. Patient characteristics and clinical parameters were assessed. Uni- and multivariate analyses were performed. RESULTS 76 patients with a median age of 82 (range 80-89) and a median initial KPS of 80 (range 50-90) were included. Tumor-specific therapy was initiated in 52 patients (68%). 22 patients (29%) received temozolomide monotherapy, 23 patients (30%) were treated with radiotherapy (RT) alone and 7 patients (9%) received combination therapies. In 24 patients (32%), tumor-specific therapy was omitted in lieu of BSC. Overall survival (OS) was longer in patients receiving tumor-specific therapy (5.4 vs. 3.3 months, p < 0.001). Molecular stratification showed that the survival benefit was owed to patients with MGMT promoter methylation (MGMTpos) who received tumor-specific therapy as opposed to BSC (6.2 vs. 2.6 months, p < 0.001), especially to those with better clinical status and no initial polypharmacy. Patients with unmethylated MGMT promoter (MGMTneg) did not benefit from tumor-specific therapy (3.6 vs. 3.7 months, p = 0.18). In multivariate analyses, better clinical status and MGMT promoter methylation were associated with prolonged survival (p < 0.01 and p = 0.01). CONCLUSION Benefit from tumor-specific treatment in patients with newly diagnosed glioblastoma aged ≥80 years might be restricted to MGMTpos patients, especially to those with good clinical status and no polypharmacy.
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Affiliation(s)
- Jonathan Weller
- Department of Neurosurgery, University Hospital, LMU Munich, Marchioninistrasse 15, Munich, 81377, Germany
| | - Sophie Katzendobler
- Department of Neurosurgery, University Hospital, LMU Munich, Marchioninistrasse 15, Munich, 81377, Germany
| | - Sebastian Niedermeyer
- Department of Neurosurgery, University Hospital, LMU Munich, Marchioninistrasse 15, Munich, 81377, Germany
| | - Patrick N Harter
- Center for Neuropathology and Prion Research, LMU Munich, Munich, Germany
- German Cancer Consortium (DKTK), Partner site Munich and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jochen Herms
- Center for Neuropathology and Prion Research, LMU Munich, Munich, Germany
- German Cancer Consortium (DKTK), Partner site Munich and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | - Maximilian Niyazi
- Department of Radiotherapy and Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
- German Cancer Consortium (DKTK), Partner site Munich and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Niklas Thon
- Department of Neurosurgery, University Hospital, LMU Munich, Marchioninistrasse 15, Munich, 81377, Germany
- German Cancer Consortium (DKTK), Partner site Munich and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Joerg-Christian Tonn
- Department of Neurosurgery, University Hospital, LMU Munich, Marchioninistrasse 15, Munich, 81377, Germany
- German Cancer Consortium (DKTK), Partner site Munich and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Veit M Stoecklein
- Department of Neurosurgery, University Hospital, LMU Munich, Marchioninistrasse 15, Munich, 81377, Germany.
- German Cancer Consortium (DKTK), Partner site Munich and German Cancer Research Center (DKFZ), Heidelberg, Germany.
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Yang YW, Zhou YW, Xia X, Jia SL, Zhao YL, Zhou LX, Cao Y, Ge ML. Prognostic value of temporal muscle thickness, a novel radiographic marker of sarcopenia, in patients with brain tumor: A systematic review and meta-analysis. Nutrition 2023; 112:112077. [PMID: 37236042 DOI: 10.1016/j.nut.2023.112077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 04/24/2023] [Accepted: 05/08/2023] [Indexed: 05/28/2023]
Abstract
Sarcopenia has been identified as a prognostic factor among certain types of cancer. However, it is unclear whether there is prognostic value of temporalis muscle thickness (TMT), a potential surrogate for sarcopenia, in adults patients with brain tumors. Therefore, we searched the Medline, Embase, and PubMed to systematically review and meta-analyze the relationship between TMT and overall survival, progression-free survival, and complications in patients with brain tumors and the hazard ratio (HR) or odds ratios (OR), and 95% confidence interval (CI) were evaluated. The quality in prognostic studies (QUIPS) instrument was employed to evaluate study quality. Nineteen studies involving 4570 patients with brain tumors were included for qualitative and quantitative analysis. Meta-analysis revealed thinner TMT was associated with poor overall survival (HR, 1.72; 95% CI, 1.45-2.04; P < 0.01) in patients with brain tumors. Sub-analyses showed that the association existed for both primary brain tumors (HR, 2.02; 95% CI, 1.55-2.63) and brain metastases (HR, 1.39; 95% CI, 1.30-1.49). Moreover, thinner TMT also was the independent predictor of progression-free survival in patients with primary brain tumors (HR, 2.88; 95% CI, 1.85-4.46; P < 0.01). Therefore, to improve clinical decision making it is important to integrate TMT assessment into routine clinical settings in patients with brain tumors.
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Affiliation(s)
- Yan-Wu Yang
- Emergency Department, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yi-Wu Zhou
- Emergency Department, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xin Xia
- Center of Gerontology and Geriatrics (National Clinical Research Center for Geriatrics), West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Shu-Li Jia
- Center of Gerontology and Geriatrics (National Clinical Research Center for Geriatrics), West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yun-Li Zhao
- Center of Gerontology and Geriatrics (National Clinical Research Center for Geriatrics), West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Li-Xing Zhou
- Center of Gerontology and Geriatrics (National Clinical Research Center for Geriatrics), West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yu Cao
- Emergency Department, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Mei-Ling Ge
- Center of Gerontology and Geriatrics (National Clinical Research Center for Geriatrics), West China Hospital, Sichuan University, Chengdu, Sichuan, China.
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Lin YH, Chung CT, Chen CH, Cheng CJ, Chu HJ, Chen KW, Yeh SJ, Tsai LK, Lee CW, Tang SC, Jeng JS. Association of temporalis muscle thickness with functional outcomes in patients undergoing endovascular thrombectomy. Eur J Radiol 2023; 163:110808. [PMID: 37080063 DOI: 10.1016/j.ejrad.2023.110808] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 03/25/2023] [Accepted: 04/03/2023] [Indexed: 04/22/2023]
Abstract
INTRODUCTION Temporalis muscle thickness (TMT) is a surrogate marker for sarcopenia. This study investigated the association of TMT with clinical outcomes in patients receiving endovascular thrombectomy (EVT) for stroke involving acute large vessel occlusion (LVO). MATERIAL AND METHODS We enrolled consecutive patients who had undergone EVT between September 2014 and December 2021 at three thrombectomy-capable institutes. TMT was measured through preprocedural computerized tomography angiography. The clinical variables affecting TMT were investigated. The associations between TMT and clinical functional outcomes, defined using the modified Rankin scale, were also studied. RESULTS A total of 657 patients were included (mean age: 72.0 ± 12.7 years; male: 52.1%). The mean TMT was 6.35 ± 1.84 mm. Younger age, male sex, higher body mass index, and premorbid functional independence were associated with larger TMT in both univariate and multivariate linear regression (P <.05). Ordinal logistic regression revealed that TMT was associated with better clinical outcomes at 90 days (Ptrend = 0.047); multivariate logistic regression indicated that larger TMT was an independent predictor (adjusted odds ratio: 1.14, 95% confidence interval: 1.03-1.27, P = 0.02) of favorable functional independence (modified Rankin scale score: 0-2). The effect was stronger in older patients (≥80 years) than younger patients, as revealed by interaction modeling analysis (Pinteraction = 0.06). CONCLUSION TMT is associated with age, sex, body mass index, and premorbid functional status. Larger TMT is associated with better outcomes after EVT. The effects of TMT are more pronounced in older adults, indicating that sarcopenia may have influence on stroke outcomes.
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Affiliation(s)
- Yen-Heng Lin
- Department of Medical Imaging, National Taiwan University Hospital, Taipei, Taiwan
| | - Chi-Ting Chung
- Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan
| | - Chih-Hao Chen
- Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan
| | - Chang-Jie Cheng
- Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan; Department of Neurology, En Chu Kong Hospital, New Taipei City, Taiwan
| | - Hai-Jui Chu
- Department of Neurology, En Chu Kong Hospital, New Taipei City, Taiwan
| | - Kuo-Wei Chen
- Division of Neurosurgery, Department of Surgery, National Taiwan University Hospital Hsin-Chu Branch, Hsinchu, Taiwan
| | - Shin-Joe Yeh
- Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan
| | - Li-Kai Tsai
- Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan
| | - Chung-Wei Lee
- Department of Medical Imaging, National Taiwan University Hospital, Taipei, Taiwan.
| | - Sung-Chun Tang
- Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan
| | - Jiann-Shing Jeng
- Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan
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20
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Peball M, Valent D, Grossauer A, Marini K, Ellmerer P, Wallnöfer J, Krismer F, Djamshidian A, Seppi K, Heim B. Temporal Muscle Thickness Correlates with Sarcopenia in Parkinson’s Disease. JOURNAL OF PARKINSON'S DISEASE 2023; 13:341-350. [PMID: 37005894 DOI: 10.3233/jpd-225108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/30/2023]
Abstract
Background: Sarcopenia is characterized by a progressive loss of muscle mass, strength, and function resulting in adverse health outcomes. Current assessment strategies are bothersome and means to simplify the diagnosis are an unmet medical need in Parkinson’s disease (PD). Objective: To evaluate temporal muscle thickness (TMT) obtained on routine cranial MRI as a surrogate marker of sarcopenia in PD patients. Methods: We correlated TMT from axial non-contrast-enhanced T1-weighted sequences of MRI close (±12 months) to an outpatient visit including sarcopenia (EWGSOP1, EWGSOP2, SARC-F), frailty (Fried’s criteria, clinical frailty scale), and disease characteristics of Parkinson’s patients (Hoehn and Yahr-scale, Movement Disorder Society-Unified Parkinson’s Disease Rating Scale, quality of life with the Parkinson’s Disease Questionnaire-8) assessments. Results: Cranial MRI was available in 32 patients with a mean age of 73.56±5.14 years, mean disease duration of 11.46±5.66 years, and median Hoehn and Yahr stage of 2.5. The mean TMT was 7.49±2.76 (7.15) mm. Mean TMT was significantly associated with sarcopenia (EWGSOP2, p = 0.018; EWGSOP1, p = 0.023) and frailty status (physical phenotype; p = 0.045). Moreover, there were significant moderate to strong correlations between TMT measurement and appendicular skeletal muscle mass index (r: 0.437, p = 0.012), as well as handgrip strength (r: 0.561, p < 0.001). Conclusion: Reduced TMT seems to be a promising surrogate marker for sarcopenia (EWGSOP2) and muscle strength in this pilot study in PD patients.
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Affiliation(s)
- Marina Peball
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Dora Valent
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Anna Grossauer
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Kathrin Marini
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Philipp Ellmerer
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Jonas Wallnöfer
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Florian Krismer
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Atbin Djamshidian
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Klaus Seppi
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Beatrice Heim
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
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Luo J, Pan M, Mo K, Mao Y, Zou D. Emerging role of artificial intelligence in diagnosis, classification and clinical management of glioma. Semin Cancer Biol 2023; 91:110-123. [PMID: 36907387 DOI: 10.1016/j.semcancer.2023.03.006] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Revised: 03/05/2023] [Accepted: 03/08/2023] [Indexed: 03/12/2023]
Abstract
Glioma represents a dominant primary intracranial malignancy in the central nervous system. Artificial intelligence that mainly includes machine learning, and deep learning computational approaches, presents a unique opportunity to enhance clinical management of glioma through improving tumor segmentation, diagnosis, differentiation, grading, treatment, prediction of clinical outcomes (prognosis, and recurrence), molecular features, clinical classification, characterization of the tumor microenvironment, and drug discovery. A growing body of recent studies apply artificial intelligence-based models to disparate data sources of glioma, covering imaging modalities, digital pathology, high-throughput multi-omics data (especially emerging single-cell RNA sequencing and spatial transcriptome), etc. While these early findings are promising, future studies are required to normalize artificial intelligence-based models to improve the generalizability and interpretability of the results. Despite prominent issues, targeted clinical application of artificial intelligence approaches in glioma will facilitate the development of precision medicine of this field. If these challenges can be overcome, artificial intelligence has the potential to profoundly change the way patients with or at risk of glioma are provided with more rational care.
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Affiliation(s)
- Jiefeng Luo
- Department of Neurology, The Second Affiliated Hospital of Guangxi Medical University, Nanning 530007, Guangxi, China
| | - Mika Pan
- Department of Neurology, The Second Affiliated Hospital of Guangxi Medical University, Nanning 530007, Guangxi, China
| | - Ke Mo
- Clinical Research Center, The Second Affiliated Hospital of Guangxi Medical University, Nanning 530007, Guangxi, China
| | - Yingwei Mao
- Department of Biology, Pennsylvania State University, University Park, PA 16802, USA.
| | - Donghua Zou
- Department of Neurology, The Second Affiliated Hospital of Guangxi Medical University, Nanning 530007, Guangxi, China; Clinical Research Center, The Second Affiliated Hospital of Guangxi Medical University, Nanning 530007, Guangxi, China.
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22
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Sütcüoğlu O, Erdal ZS, Akdoğan O, Çeltikçi E, Özdemir N, Özet A, Uçar M, Yazıcı O. The possible relation between temporal muscle mass and glioblastoma multiforme prognosis via sarcopenia perspective. Turk J Med Sci 2023; 53:413-419. [PMID: 36945944 PMCID: PMC10388072 DOI: 10.55730/1300-0144.5599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 11/20/2022] [Indexed: 02/26/2023] Open
Abstract
BACKGROUND The optimal sarcopenia measurement method in patients with a diagnosis of glioblastoma multiforme (GBM) is unknown. It has been found that temporal muscle thickness (TMT) may reflect sarcopenia and be associated with survival, but the relationship between temporal muscle area (TMA) and GBM prognosis has never been evaluated before. The primary outcome of the study was to evaluate the relationship between TMA/TMT and overall survival (OS) time in newly diagnosed GBM patients. METHODS The data of patients who presented at the university hospital between January 2009 and January 2019 with a confirmed diagnosis of glioblastoma multiforme at the time of diagnosis were analyzed retrospectively. Temporal muscle thickness and TMA were measured retrospectively from preoperative MRIs of patients diagnosed with GBM. Due to the small number of patients and the failure to determine a cut-off value with acceptable sensitivity and specificity using ROC analysis, the median values were chosen as the cut-off value. The patients were basically divided into two according to their median TMT (6.6 mm) or TMA (452 mm2 ) values, and survival analysis was performed with the Kaplan-Meier analysis. RESULTS The median TMT value was 6.6 mm, and the median TMA value was 452 mm2 . The median overall survival (OS) was calculated as 25.8 months in patients with TMT < 6.6 mm, and 15.8 months in patients with TMT ≥ 6.6 mm (p = 0.29). The median overall survival (OS) of patients with TMA < 452mm2 was 26.3 months, and the group with TMA ≥ 452mm2 was 14.6 months (p = 0.06). The median disease-free survival was 18.3 months (%95 CI: 13.2-23.4) in patients with TMT < 6.6mm, while mDFS was 10.9 (%95 CI: 8.0-13.8) months in patients with TMT ≥ 6.6mm (p = 0.21). The median disease-free survival was found to be 21.0 months (%95 CI: 15.8-26.1) in patients with TMA < 452 mm2 and 10.5 months (%95 CI: 7.8-13.2) in patients with TMA ≥ 452 mm2 (p = 0.018). DISCUSSION No association could be demonstrated between TMT or TMA and OS of GBM patients. In addition, the median DFS was found to be longer in patients with low TMA. There is an unmet need to determine the optimal method of sarcopenia in GBM patients.
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Affiliation(s)
- Osman Sütcüoğlu
- Department of Medical Oncology, Faculty of Medicine, Gazi University, Ankara, Turkey
| | - Zeynep Sezgi Erdal
- Department of Radiology, Faculty of Medicine, Gazi University, Ankara, Turkey
| | - Orhun Akdoğan
- Department of Internal Medicine, Faculty of Medicine, Gazi University, Ankara, Turkey
| | - Emrah Çeltikçi
- Department of Neurosurgery, Faculty of Medicine, Gazi University, Ankara, Turkey
| | - Nuriye Özdemir
- Department of Medical Oncology, Faculty of Medicine, Gazi University, Ankara, Turkey
| | - Ahmet Özet
- Department of Medical Oncology, Faculty of Medicine, Gazi University, Ankara, Turkey
| | - Murat Uçar
- Department of Radiology, Faculty of Medicine, Gazi University, Ankara, Turkey
| | - Ozan Yazıcı
- Department of Medical Oncology, Faculty of Medicine, Gazi University, Ankara, Turkey
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23
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Ten Cate C, Huijs SMH, Willemsen ACH, Pasmans RCOS, Eekers DBP, Zegers CML, Ackermans L, Beckervordersandforth J, van Raak EPM, Anten MHME, Hoeben A, Postma AA, Broen MPG. Correlation of reduced temporal muscle thickness and systemic muscle loss in newly diagnosed glioblastoma patients. J Neurooncol 2022; 160:611-618. [PMID: 36394717 PMCID: PMC9758090 DOI: 10.1007/s11060-022-04180-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 10/21/2022] [Indexed: 11/18/2022]
Abstract
PURPOSE Reduced temporal muscle thickness (TMT) has recently been postulated as a prognostic imaging marker and an objective tool to assess patients frailty in glioblastoma. Our aim is to investigate the correlation of TMT and systemic muscle loss to confirm that TMT is an adequate surrogate marker of sarcopenia in newly diagnosed glioblastoma patients. METHODS TMT was assessed on preoperative MR-images and skeletal muscle area (SMA) was assessed at the third lumbar vertebra on preoperative abdominal CT-scans. Previous published TMT sex-specific cut-off values were used to classify patients as 'patient at risk of sarcopenia' or 'patient with normal muscle status'. Correlation between TMT and SMA was assessed using Spearman's rank correlation coefficient. RESULTS Sixteen percent of the 245 included patients were identified as at risk of sarcopenia. The mean SMA of glioblastoma patients at risk of sarcopenia (124.3 cm2, SD 30.8 cm2) was significantly lower than the mean SMA of patients with normal muscle status (146.3 cm2, SD 31.1 cm2, P < .001). We found a moderate association between TMT and SMA in the patients with normal muscle status (Spearman's rho 0.521, P < .001), and a strong association in the patients at risk of sarcopenia (Spearman's rho 0.678, P < .001). CONCLUSION Our results confirm the use of TMT as a surrogate marker of total body skeletal muscle mass in glioblastoma, especially in frail patients at risk of sarcopenia. TMT can be used to identify patients with muscle loss early in the disease process, which enables the implementation of adequate intervention strategies.
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Affiliation(s)
- Cecil Ten Cate
- Master of Science in Medicine and Clinical Research, Maastricht University, Maastricht, The Netherlands
| | - Sandra M H Huijs
- Department of Neurology Zuyderland Medical Center, Heerlen, The Netherlands
| | - Anna C H Willemsen
- GROW-School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands
- Department of Respiratory Medicine, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, The Netherlands
- Division of Medical Oncology, Department of Internal Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
| | | | - Daniëlle B P Eekers
- Department of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Catharina M L Zegers
- Department of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Linda Ackermans
- Department of Neurosurgery, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Jan Beckervordersandforth
- GROW-School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands
- Department of Pathology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Elisabeth P M van Raak
- Department of Neurology, Maastricht University Medical Center, P.O. Box 5800, 6202 AZ, Maastricht, The Netherlands
| | - Monique H M E Anten
- GROW-School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands
- Department of Neurology, Maastricht University Medical Center, P.O. Box 5800, 6202 AZ, Maastricht, The Netherlands
| | - Ann Hoeben
- GROW-School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands
- Division of Medical Oncology, Department of Internal Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Alida A Postma
- Department of Radiology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Martinus P G Broen
- GROW-School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands.
- Department of Neurology, Maastricht University Medical Center, P.O. Box 5800, 6202 AZ, Maastricht, The Netherlands.
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24
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Temporal muscle thickness as an independent prognostic marker in glioblastoma patients—a systematic review and meta-analysis. Neurosurg Rev 2022; 45:3619-3628. [DOI: 10.1007/s10143-022-01892-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2022] [Revised: 10/03/2022] [Accepted: 11/02/2022] [Indexed: 11/11/2022]
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25
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Dubinski D, Won SY, Behmanesh B, Cantré D, Mattes I, Trnovec S, Baumgarten P, Schuss P, Freiman TM, Gessler F. Significance of Temporal Muscle Thickness in Chronic Subdural Hematoma. J Clin Med 2022; 11:jcm11216456. [PMID: 36362682 PMCID: PMC9654786 DOI: 10.3390/jcm11216456] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 10/29/2022] [Accepted: 10/30/2022] [Indexed: 11/06/2022] Open
Abstract
Background: Reduced temporal muscle thickness (TMT) was verified as an independent negative prognostic parameter for outcome in brain tumor patients. Independent thereof, chronic subdural hematoma (CSDH) is a neurosurgical condition with high recurrence rates and unreliable risk models for poor outcome. Since sarcopenia was associated with poor outcome, we investigated the possible role of TMT and the clinical course of CSDH patients. Methods: This investigation is a single-center retrospective study on patients with CSDH. We analyzed the radiological and clinical data sets of 171 patients with surgically treated CSDH at a University Hospital from 2017 to 2020. Results: Our analysis showed a significant association between low-volume TMT and increased hematoma volume (p < 0.001), poor outcome at discharge (p < 0.001), and reduced performance status at 3 months (p < 0.002). Conclusion: TMT may represent an objective prognostic parameter and assist the identification of vulnerable CSDH patients.
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Affiliation(s)
- Daniel Dubinski
- Department of Neurosurgery, Rostock University Medical Center, 18057 Rostock, Germany
- Correspondence: ; Tel.: +49-381-494-6439
| | - Sae-Yeon Won
- Department of Neurosurgery, Rostock University Medical Center, 18057 Rostock, Germany
| | - Bedjan Behmanesh
- Department of Neurosurgery, Rostock University Medical Center, 18057 Rostock, Germany
| | - Daniel Cantré
- Institute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, Rostock University Medical Center, 18057 Rostock, Germany
| | - Isabell Mattes
- Department of Neurosurgery, Rostock University Medical Center, 18057 Rostock, Germany
| | - Svorad Trnovec
- Department of Neurosurgery, Rostock University Medical Center, 18057 Rostock, Germany
| | - Peter Baumgarten
- Department of Neurosurgery, University Hospital, Schiller University Jena, 07747 Jena, Germany
| | - Patrick Schuss
- Department of Neurosurgery, Unfallkrankenhaus Berlin, 12683 Berlin, Germany
| | - Thomas M. Freiman
- Department of Neurosurgery, Rostock University Medical Center, 18057 Rostock, Germany
| | - Florian Gessler
- Department of Neurosurgery, Rostock University Medical Center, 18057 Rostock, Germany
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Association between Temporal Muscle Thickness and Overall Survival in Non-Small Cell Lung Cancer Patients with Brain Metastasis. Curr Oncol 2022; 29:6463-6471. [PMID: 36135077 PMCID: PMC9497949 DOI: 10.3390/curroncol29090508] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 09/06/2022] [Accepted: 09/07/2022] [Indexed: 12/01/2022] Open
Abstract
Temporal muscle thickness (TMT) has recently been suggested as a novel biomarker of sarcopenia in head and neck malignancies. However, few studies have evaluated TMT as a prognostic marker in patients with brain metastasis. This study investigated the association of TMT with overall survival (OS) in non-small cell lung cancer (NSCLC) patients with brain metastasis. The records of all NSCLC patients with brain metastasis between 2009 and 2018 at St. Vincent’s Hospital were reviewed retrospectively. A total of 221 patients met our eligibility criteria. In the group with TMT thicker than the median, OS was longer than the group with TMT thinner than the median (240 days versus 139 days, p = 0.014). In multivariate analysis, the thicker TMT group had longer survival (HR 0.73 CI 0.56−0.96, p = 0.024). Male (HR 1.58 CI 1.19−2.09, p = 0.002) and older age (≥65 years) (HR 2.05 CI 1.53−2.74, p < 0.001) also showed statistical significance. We also performed subgroup analysis in older patients (≥65 years). In this subgroup of 107 patients, the thicker TMT group also showed longer OS than the thinner TMT group (209 days versus 82 days, p = 0.009). Our findings suggest that TMT can be a useful biomarker for OS in NSCLC patients with brain metastasis.
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Impact of temporalis muscle thickness in elderly patients with newly diagnosed glioblastoma treated with radio or radio-chemotherapy. Radiol Med 2022; 127:919-924. [DOI: 10.1007/s11547-022-01524-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Accepted: 06/30/2022] [Indexed: 01/08/2023]
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28
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Broen MPG, Beckers R, Willemsen ACH, Huijs SMH, Pasmans RCOS, Eekers DBP, Ackermans L, Beckervordersandforth J, van Raak EPM, Verduin M, Anten MHME, Hoeben A, Postma AA. Temporal muscle thickness as an independent prognostic imaging marker in newly diagnosed glioblastoma patients: a validation study. Neurooncol Adv 2022; 4:vdac038. [PMID: 35475275 PMCID: PMC9034111 DOI: 10.1093/noajnl/vdac038] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Background Previous studies have recognized temporal muscle thickness (TMT) as a prognostic marker in glioblastoma, but clinical implementation is hampered due to studies’ heterogeneity and lack of established cutoff values. The aim of this study was to assess the validity of recent proposed sex-specific TMT cutoff values in a real-world population of genotyped primary glioblastoma patients. Methods We measured TMT in preoperative MR images of 328 patients. Sex-specific TMT cutoff values were used to divide patients into “at risk of sarcopenia” or “normal muscle status”. Kaplan-Meier analyses and stepwise multivariate Cox-Regression analyses were used to assess the association with overall survival (OS) and progression-free survival (PFS). The association with occurrence of complications and discontinuation of glioblastoma treatment was investigated using odds ratios (OR). Results Patients at risk of sarcopenia had a significantly higher risk of progression and death than patients with normal muscle status, which remained significant in the multivariate analyses (OS HR = 1.437; 95%CI: 1.046–1.973; P = .025 and PFS HR = 1.453; 95%CI: 1.037–2.036; P = .030). Patients at risk of sarcopenia also had a significantly higher risk of early discontinuation of treatment (OR = 2.45; 95%CI: 1.011–5.952; P = .042) and a significantly lower chance of receiving second-line treatment (OR = 0.23; 95%CI: 0.09–0.60; P = .001). There was no association with the occurrence of complications. Conclusions Our study confirms external validity of the use of proposed sex-specific TMT cutoff values as an independent prognostic marker in newly diagnosed glioblastoma patients. This simple, noninvasive marker could improve patient counseling and aid in treatment decision processes or trial stratification.
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Affiliation(s)
- Martinus P G Broen
- Department of Neurology, Maastricht University Medical Center, Maastricht, Netherlands
- GROW- School for Oncology and Developmental Biology, Maastricht University, Maastricht, Netherlands
| | - Rueben Beckers
- Department of Neurology, Zuyderland Medical Center, Heerlen, Netherlands
| | - Anna C H Willemsen
- GROW- School for Oncology and Developmental Biology, Maastricht University, Maastricht, Netherlands
- Department of Respiratory Medicine, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Netherlands
- Division of Medical Oncology, Department of Internal Medicine, Maastricht University Medical Center, Maastricht, Netherlands
| | - Sandra M H Huijs
- Department of Neurology, Zuyderland Medical Center, Heerlen, Netherlands
| | | | - Daniëlle B P Eekers
- Department of Radiation Oncology (Maastro), GROW School for Oncology, Maastricht University Medical Center, Maastricht, Netherlands
| | - Linda Ackermans
- Department of Neurosurgery, Maastricht University Medical Center, Maastricht, Netherlands
| | - Jan Beckervordersandforth
- GROW- School for Oncology and Developmental Biology, Maastricht University, Maastricht, Netherlands
- Department of Pathology, Maastricht University Medical Center, Maastricht, Netherlands
| | | | - Maikel Verduin
- GROW- School for Oncology and Developmental Biology, Maastricht University, Maastricht, Netherlands
- Division of Medical Oncology, Department of Internal Medicine, Maastricht University Medical Center, Maastricht, Netherlands
| | - Monique H M E Anten
- Department of Neurology, Maastricht University Medical Center, Maastricht, Netherlands
- GROW- School for Oncology and Developmental Biology, Maastricht University, Maastricht, Netherlands
| | - Ann Hoeben
- GROW- School for Oncology and Developmental Biology, Maastricht University, Maastricht, Netherlands
- Division of Medical Oncology, Department of Internal Medicine, Maastricht University Medical Center, Maastricht, Netherlands
| | - Alida A Postma
- Department of Radiology, Maastricht University Medical Center, Maastricht, Netherlands
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29
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Katsuki M, Kakizawa Y, Nishikawa A, Yamamoto Y, Uchiyama T, Agata M, Wada N, Kawamura S, Koh A. Temporal Muscle and Stroke-A Narrative Review on Current Meaning and Clinical Applications of Temporal Muscle Thickness, Area, and Volume. Nutrients 2022; 14:687. [PMID: 35277046 PMCID: PMC8840759 DOI: 10.3390/nu14030687] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 01/31/2022] [Accepted: 02/04/2022] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Evaluating muscle mass and function among stroke patients is important. However, evaluating muscle volume and function is not easy due to the disturbances of consciousness and paresis. Temporal muscle thickness (TMT) has been introduced as a novel surrogate marker for muscle mass, function, and nutritional status. We herein performed a narrative literature review on temporal muscle and stroke to understand the current meaning of TMT in clinical stroke practice. METHODS The search was performed in PubMed, last updated in October 2021. Reports on temporal muscle morphomics and stroke-related diseases or clinical entities were collected. RESULTS Four studies reported on TMT and subarachnoid hemorrhage, two studies on intracerebral hemorrhage, two studies on ischemic stroke, two studies on standard TMT values, and two studies on nutritional status. TMT was reported as a prognostic factor for several diseases, a surrogate marker for skeletal muscle mass, and an indicator of nutritional status. Computed tomography, magnetic resonance imaging, and ultrasonography were used to measure TMT. CONCLUSIONS TMT is gradually being used as a prognostic factor for stroke or a surrogate marker for skeletal muscle mass and nutritional status. The establishment of standard methods to measure TMT and large prospective studies to further investigate the relationship between TMT and diseases are needed.
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Affiliation(s)
- Masahito Katsuki
- Department of Neurosurgery, Suwa Red Cross Hospital, Suwa 392-8510, Nagano, Japan; (M.K.); (A.N.); (Y.Y.); (T.U.); (M.A.); (N.W.)
- Department of Neurosurgery, Itoigawa General Hospital, Itoigawa 941-0006, Niigata, Japan; (S.K.); (A.K.)
| | - Yukinari Kakizawa
- Department of Neurosurgery, Suwa Red Cross Hospital, Suwa 392-8510, Nagano, Japan; (M.K.); (A.N.); (Y.Y.); (T.U.); (M.A.); (N.W.)
| | - Akihiro Nishikawa
- Department of Neurosurgery, Suwa Red Cross Hospital, Suwa 392-8510, Nagano, Japan; (M.K.); (A.N.); (Y.Y.); (T.U.); (M.A.); (N.W.)
| | - Yasunaga Yamamoto
- Department of Neurosurgery, Suwa Red Cross Hospital, Suwa 392-8510, Nagano, Japan; (M.K.); (A.N.); (Y.Y.); (T.U.); (M.A.); (N.W.)
| | - Toshiya Uchiyama
- Department of Neurosurgery, Suwa Red Cross Hospital, Suwa 392-8510, Nagano, Japan; (M.K.); (A.N.); (Y.Y.); (T.U.); (M.A.); (N.W.)
| | - Masahiro Agata
- Department of Neurosurgery, Suwa Red Cross Hospital, Suwa 392-8510, Nagano, Japan; (M.K.); (A.N.); (Y.Y.); (T.U.); (M.A.); (N.W.)
| | - Naomichi Wada
- Department of Neurosurgery, Suwa Red Cross Hospital, Suwa 392-8510, Nagano, Japan; (M.K.); (A.N.); (Y.Y.); (T.U.); (M.A.); (N.W.)
| | - Shin Kawamura
- Department of Neurosurgery, Itoigawa General Hospital, Itoigawa 941-0006, Niigata, Japan; (S.K.); (A.K.)
| | - Akihito Koh
- Department of Neurosurgery, Itoigawa General Hospital, Itoigawa 941-0006, Niigata, Japan; (S.K.); (A.K.)
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30
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Sabir Rashid A, Huang-Link Y, Johnsson M, Wetterhäll S, Gauffin H. Predictors of Early Neurological Deterioration and Functional Outcome in Acute Ischemic Stroke: The Importance of Large Artery Disease, Hyperglycemia and Inflammatory Blood Biomarkers. Neuropsychiatr Dis Treat 2022; 18:1993-2002. [PMID: 36097537 PMCID: PMC9464020 DOI: 10.2147/ndt.s365758] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 08/17/2022] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Early neurological deterioration (END) in acute ischemic stroke (AIS) can be associated with poor outcome. The aim of this study was to investigate the association between infarction subtypes, biomarkers and END, and to identify patients with risk of unfavorable functional outcome. MATERIALS AND METHODS This prospective study enrolled 101 patients with AIS. Neurological status was evaluated according to NIHSS at acute onset, on days 2, 3, and 90. END was defined as ≥2-point increase of NIHSS within 72 hours. Functional outcome was assessed using NIHSS and the modified Rankin Scale (mRS) at day 90. RESULTS END was observed in 20, 8%. Patients with large artery disease had higher risk of developing END compared with patients with cardioembolism or small vessel disease (p <0.01). Significant higher blood glucose level and leukocytes were observed in the END group. Patients with END had higher scores of mRS at day 90 (p <0.01). Levels of NSE, IL-6, hsCRP and NT-proBNP were higher in the patients with unfavorable compared with favorable functional outcome. CONCLUSION Large artery disease, high blood glucose and leukocytes levels are associated with END. Elevated levels of blood markers NSE, IL-6, HsCRP and NT-proBNP indicate poor functional outcome at 90 days after AIS. These patients must be identified and be offered treatment immediately in order to improve the functional outcome after AIS.
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Affiliation(s)
- Avan Sabir Rashid
- Department of Biomedical and Clinical Sciences (BKV), Faculty of Medicine and Health Sciences, Linköping University, Linköping, Sweden.,Department of Neurology, Linköping University Hospital, Region Östergötland, Linköping, Sweden
| | - Yumin Huang-Link
- Department of Biomedical and Clinical Sciences (BKV), Faculty of Medicine and Health Sciences, Linköping University, Linköping, Sweden.,Department of Neurology, Linköping University Hospital, Region Östergötland, Linköping, Sweden
| | - Marcus Johnsson
- Department of Biomedical and Clinical Sciences (BKV), Faculty of Medicine and Health Sciences, Linköping University, Linköping, Sweden.,Department of Neurology, Linköping University Hospital, Region Östergötland, Linköping, Sweden
| | - Simon Wetterhäll
- Department of Biomedical and Clinical Sciences (BKV), Faculty of Medicine and Health Sciences, Linköping University, Linköping, Sweden.,Department of Neurology, Linköping University Hospital, Region Östergötland, Linköping, Sweden
| | - Helena Gauffin
- Department of Biomedical and Clinical Sciences (BKV), Faculty of Medicine and Health Sciences, Linköping University, Linköping, Sweden.,Department of Neurology, Linköping University Hospital, Region Östergötland, Linköping, Sweden
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