Temporal muscle thickness as an independent prognostic imaging marker in newly diagnosed glioblastoma patients: A validation study

Neuro-Oncology Advances, Journal Year: 2022, Volume and Issue: 4(1)

Published: Jan. 1, 2022

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 this study was assess the validity recent proposed sex-specific TMT values real-world population genotyped primary glioblastoma patients.We measured preoperative MR images 328 patients. Sex-specific were used divide patients into "at risk sarcopenia" or "normal status". Kaplan-Meier analyses stepwise multivariate Cox-Regression association with overall survival (OS) progression-free (PFS). occurrence complications discontinuation treatment investigated using odds ratios (OR).Patients at sarcopenia had significantly higher progression death than normal status, which remained significant (OS HR = 1.437; 95%CI: 1.046-1.973; P .025 PFS 1.453; 1.037-2.036; .030). Patients also early (OR 2.45; 1.011-5.952; .042) lower chance receiving second-line 0.23; 0.09-0.60; .001). There no complications.Our confirms external use an independent newly diagnosed This simple, noninvasive could improve patient counseling aid decision processes trial stratification.

Language: Английский

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Age- and sex-adjusted CT-based reference values for temporal muscle thickness, cross-sectional area and radiodensity

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 18, 2025

Muscle mass has been traditionally assessed by measuring paraspinal muscle areas at the level of third lumbar vertebra on computed tomography (CT). Neurological or neurosurgical patients seldom undergo CT scans region. Instead, temporal thickness (TMT), cross-sectional area (TMA) and radiodensity measured from head are readily available measures quality in these patient cohorts. The purpose this retrospective study was to establish CT-based reference values for TMT, TMA each decade age 0 100 years normalized sex, define cut-off subjects risk sarcopenia as defined European Working Group Sarcopenia Older People (EWGSOP). Subjects diagnosed with a concussion Oulu University Hospital between January 2014 December 2022 (n = 9254) were identified obtain population. significant pre-existing co-morbidities excluded. measured, measurement reliability quantified, sex-adjusted calculated decade. Quantile regression used model age-related changes morphomics. A total 500 [250 (50.0%) males] mean 49.2 ± 27.9 evaluated. Inter- intra-observer almost perfect TMT TMA, substantial-to-almost radiodensity. 5.2 1.9 mm, 284 159 mm2 44.6 17.7HU, respectively. reduced males/females using compliant criteria ≤ 4.09 mm/≤3.44 166 mm2/≤156 mm2, 35.5HU/≤35.2HU, We described standardized protocol practical clinical use reliability. Using protocol, we produced quantile models detection lowest 5th, 10th, 20th, 30th, 40th 50th percentiles well EWGSOP facilitate generalizable radiological research.

Language: Английский

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Comprehensive Evaluation of Frailty and Sarcopenia Markers to Predict Survival in Glioblastoma Patients

Journal of Cachexia Sarcopenia and Muscle, Journal Year: 2025, Volume and Issue: 16(2)

Published: April 1, 2025

ABSTRACT Background Glioblastoma (GBM) is the most common primary malignant brain tumour in adults. Patients with GBM are particularly susceptible to moderate‐to‐high frail. Frailty status has been associated outcome of many types cancer, including GBM, although there still little consensus regarding specific criteria for assessing frailty status. This study aimed determine predictive significance modified score (mFS) patients using haematological and sarcopenia indicators. Methods Between January 2016 September 2022, we enrolled 309 adult patients. Data on demographics, examination, temporal muscle thickness (TMT) were collected assessed. The prognostic relevance parameters was established Kaplan–Meier Cox proportional model. scoring systems created by integrating these Variables independent values used construct nomograms. Nomogram accuracy evaluated calibration curve, Harrell's concordance index (C‐index), time‐dependent receiver operating characteristic curves. Clinical practicality assessed decision curve analysis. Results baseline characteristics participants revealed a median age 59 years (interquartile range 52–66) predominance male (58.58%). TMT (hazard ratio [HR] = 3.787, 95% confidence interval [CI] 2.576–5.566, p < 0.001), nutritional (HR 1.722, CI 1.098–2.703, 0.018), mean corpuscular volume 1.958, 1.111–3.451, 0.020) identified as markers. constructed mFS, obtained three indices, exhibited 2.461, 1.751–3.457, 0.001). low‐risk group had overall survival (OS) 13.9 months, while high risk OS 5.8 months. Importantly, mFS demonstrated significant value subgroup aged > 65 1.822, 1.011–3.284, 0.046). nomogram, which included accuracy, c‐index 0.781. nomogram bootstrapped plot also performed well compared ideal Nomograms showed promising discriminative potential, areas under curves 0.945, 0.835, 0.820 0.5‐, 1‐, 2‐year prediction, respectively. Conclusions Preoperative comprehensive marker predicting outcomes GBM. A dynamic incorporating may facilitate preoperative evaluation. Early appropriate multimodal interventions, support, rehabilitation, psychological care, help neurosurgical care or other tumours.

Language: Английский

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Temporal Muscle Thickness as a Prognostic Marker in a Real‐Life Cohort of Newly Diagnosed MGMT Promoter Methylated Glioblastoma: A Multicentric Imaging Analysis

Cancer Medicine, Journal Year: 2025, Volume and Issue: 14(8)

Published: April 1, 2025

ABSTRACT Introduction Prior research has identified temporal muscle thickness (TMT) as a prognostic marker in glioblastoma. Nonetheless, implementation daily clinical practice is complicated due to the heterogeneity of previous studies. We performed multicentric analysis aiming validate recently proposed sex‐specific cutoff values using homogeneous cohort newly diagnosed MGMT promoter methylated glioblastoma patients; we included balanced control for comparison. Materials and Methods TMT was measured at baseline initial preoperative/postoperative magnetic resonance images (MRIs) disease course first MRI after radiotherapy. Patients were divided by sex into “at risk sarcopenia” or “normal status.” Kaplan–Meier multivariable Cox regression used survival correlation. Results In total, n = 126 patients ( 66 treated with CCNU/temozolomide, 60 single‐drug temozolomide). normal mass had significantly prolonged (median overall survival: 44.2 months versus 16.7 29.5 17.4 temozolomide) compared those sarcopenia. analysis, an age diagnosis < 50 years emerged significant markers. Longitudinally, longest lack decline over course. Discussion This confirms important two real‐life cohorts. However, order establish assessment routine patient selection therapeutic measures, further validation prospective controlled trials necessary.

Language: Английский

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Correlation of reduced temporal muscle thickness and systemic muscle loss in newly diagnosed glioblastoma patients

Journal of Neuro-Oncology, Journal Year: 2022, Volume and Issue: 160(3), P. 611 - 618

Published: Nov. 17, 2022

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 investigate the correlation of TMT systemic loss confirm that adequate surrogate sarcopenia newly diagnosed glioblastoma patients.TMT was assessed on preoperative MR-images skeletal area (SMA) at third lumbar vertebra abdominal CT-scans. Previous published sex-specific cut-off values were used classify 'patient risk sarcopenia' or with normal status'. Correlation between SMA using Spearman's rank coefficient.Sixteen percent 245 included identified sarcopenia. The mean (124.3 cm2, SD 30.8 cm2) significantly lower than status (146.3 31.1 P < .001). We found moderate association (Spearman's rho 0.521, .001), strong 0.678, .001).Our results use total body mass glioblastoma, especially frail can be identify early disease process, which enables implementation intervention strategies.

Language: Английский

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Temporal muscle thickness as an independent prognostic marker in glioblastoma patients—a systematic review and meta-analysis

Neurosurgical Review, Journal Year: 2022, Volume and Issue: 45(6), P. 3619 - 3628

Published: Nov. 9, 2022

Language: Английский

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Significance of Temporal Muscle Thickness in Chronic Subdural Hematoma

Journal of Clinical Medicine, Journal Year: 2022, Volume and Issue: 11(21), P. 6456 - 6456

Published: Oct. 31, 2022

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 poor outcome. Since sarcopenia associated outcome, we investigated the possible role of TMT clinical course CSDH Methods: This investigation single-center retrospective study on patients CSDH. We analyzed radiological data sets 171 surgically treated at University Hospital from 2017 to 2020. Results: Our analysis showed significant association between low-volume increased volume (p < 0.001), discharge reduced performance status 3 months 0.002). Conclusion: may represent objective assist identification vulnerable

Language: Английский

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Prognostic value of temporal muscle thickness, a novel radiographic marker of sarcopenia, in patients with brain tumor: A systematic review and meta-analysis

Nutrition, Journal Year: 2023, Volume and Issue: 112, P. 112077 - 112077

Published: May 10, 2023

Sarcopenia has been identified as a prognostic factor among certain types of cancer. However, it is unclear whether there value temporalis muscle thickness (TMT), potential surrogate for sarcopenia, in adults patients with brain tumors. Therefore, we searched the Medline, Embase, and PubMed to systematically review meta-analyze relationship between TMT overall survival, progression-free complications tumors hazard ratio (HR) or odds ratios (OR), 95% confidence interval (CI) were evaluated. The quality studies (QUIPS) instrument was employed evaluate study quality. Nineteen involving 4570 included qualitative quantitative analysis. Meta-analysis revealed thinner associated poor survival (HR, 1.72; CI, 1.45–2.04; P < 0.01) Sub-analyses showed that association existed both primary 2.02; 1.55-2.63) metastases 1.39; 1.30-1.49). Moreover, also independent predictor 2.88; 1.85–4.46; 0.01). improve clinical decision making important integrate assessment into routine settings

Language: Английский

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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 Neurosurgery X, Journal Year: 2024, Volume and Issue: 22, P. 100318 - 100318

Published: Feb. 25, 2024

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 patients malignant intra-axial neoplasms.

Language: Английский

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Radiomic features on multiparametric MRI for differentiating pseudoprogression from recurrence in high-grade gliomas

Acta Radiologica, Journal Year: 2024, Volume and Issue: 65(11), P. 1390 - 1400

Published: Oct. 8, 2024

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 peritumoral radiomics. Purpose To assess the effectiveness radiomics improving after surgery. Material Methods A total 109 cases were randomly divided into training validation sets, with 1316 features extracted from volumes interest (VOIs) on conventional magnetic resonance imaging (MRI) apparent diffusion coefficient (ADC) maps. Feature selection was performed mRMR algorithm, resulting (100 features), combined (200 features) subsets. Optimal then selected PCC RFE algorithms modeled LR, SVM, LDA classifiers. Diagnostic performance compared area under receiver operating characteristic curve (AUC), evaluated set. nomogram established radscores intratumoral, peritumoral, models. Results The model, utilizing 14 optimal (8 6 intratumoral) LR as best classifier, outperformed single In set, AUC values for model 0.938, 0.921, 0.847, respectively; 0.841, 0.755, 0.705. demonstrated AUCs 0.960 (training set) 0.850 (validation set). Conclusion effective distinguishing

Language: Английский

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