Polycystic ovary syndrome (PCOS) is a prevalent endocrine-metabolic disorder among women of reproductive age and is closely associated with oxidative stress, redox imbalance, and metabolic dysfunction. Accumulating evidence indicates that elevated cysteine (Cys) levels are involved in PCOS-related pathological processes and may reflect disease-associated metabolic alterations. Herein, we developed HD-Cys, a hemicyanine-based fluorescent molecular probe for sensitive detection of Cys. HD-Cys responds to Cys through a specific activation mechanism, generating a pronounced fluorescence enhancement with a low detection limit of 0.02 μM. Its biological applicability was investigated using cellular imaging, where HD-Cys enabled visualization of endogenous Cys-associated fluorescence changes. More importantly, serum analysis demonstrated that HD-Cys clearly differentiated PCOS-model samples from healthy controls, with markedly enhanced fluorescence signals consistent with elevated Cys levels under PCOS pathological conditions. Benefiting from its high chemical specificity, favorable stability, and good biocompatibility, HD-Cys provides a useful molecular tool for assessing Cys dysregulation in PCOS and holds potential for early disease evaluation and treatment-response monitoring.

This work presents LH, a hemicyanine-based activatable fluorescent probe for the sensitive detection of hydrogen peroxide (H2O2). LH undergoes H2O2-triggered cleavage of the boronate recognition unit, resulting in a turn-on near-infrared (NIR) fluorescence response. The probe exhibited favorable sensitivity, with a limit of detection (LOD) of 0.04 μM, as well as good selectivity and biocompatibility under the tested conditions. Cellular imaging experiments demonstrated that LH could monitor intracellular H2O2 changes in ovarian-derived cells. Furthermore, LH was applied to PCOS-model mice and serum samples, where enhanced fluorescence signals were observed compared with healthy controls, suggesting increased H2O2-associated oxidative changes in the PCOS model. These results indicate that LH may serve as a useful molecular imaging tool for studying oxidative stress-related changes in PCOS-model mice.

OBJECTIVE:To compare the topological properties of language-related structural brain networks between children with Autism Spectrum Disorder (ASD) and Global Developmental Delay (GDD) and examine their associations with language function. METHODS:Sixty-five children with ASD and fifty-one with GDD underwent diffusion tensor imaging (DTI). Graph theoretical analysis was used to evaluate nodal metrics in language-related structural networks. Hierarchical regression models analyzed whether diagnostic group moderated the relationship between network metrics and language performance. RESULTS:Behaviorally, children with ASD exhibited significantly lower auditory and visual comprehension scores than those with GDD, while expressive language scores were comparable. At the network level, the ASD group showed significantly higher degree centrality in the right middle temporal gyrus (MTG-R). In the ASD group specifically, degree centrality of the MTG-R, and both degree centrality and nodal efficiency of the right angular gyrus (ANG-R), were negatively correlated with language performance. Regression analyses confirmed that diagnostic group significantly moderated these structure-function relationships. CONCLUSION:Children with ASD and GDD exhibit differences in the local topological properties of language networks and distinct patterns of association with language ability. Specifically, increased nodal connectivity in the MTG-R and ANG-R was associated with poorer language outcomes in the ASD group, suggesting disorder-specific differences in structural network organization. This study provides network-level evidence for divergent brain organization underlying language impairment in ASD versus GDD.

Sulfite (SO32-) plays a crucial role in the transfer of substances and information between organisms and their environments. This study developed a novel hemicyanine-based sensor, named HD-TT, for the real-time and highly sensitive detection of to track the SO32- in the biosystem. The HD-TT probe is selectively activated by SO32-, resulting in simultaneous enhancement of both absorption and fluorescence signals. It displays a linear response to sulfite concentrations and achieves a detection limit of 151.61 nM, reflecting high sensitivity under physiologically relevant conditions. In cellular models, HD-TT effectively monitored dynamic changes in SO32- levels, confirming its capability for real-time tracking in biological environments. In addition, the probe successfully expressed a remarked fluorescence intensity in RA serum samples, underscoring its detecting potential towards SO32-. Furthermore, the probe also exhibited an excellent specificity against common biological interferents and maintained stability across a range of physiological conditions, supporting its suitability in biosystem. These attributes position HD-TT as a promising non-invasive tool for dynamic monitoring SO32-, facilitating an novel perspective in biomedical research.

To assess glymphatic function and white matter integrity in children with autism spectrum disorder (ASD) using multi-parametric MRI, combined with machine learning to evaluate ASD detection performance. This retrospective study collected data from 110 children with ASD (80 exploratory, 43 validation) and 68 typically developing children (50 exploratory, 18 validation) from two centers. The automated diffusion tensor imaging along the perivascular space (aDTI-ALPS), fractional anisotropy (FA), cerebrospinal fluid volume, and perivascular space (PVS) volume indices were extracted from DTI, three-dimensional T1-weighted, and T2-weighted images. Intergroup comparisons were conducted using t-tests, Mann–Whitney U-test, and tract-based spatial statistics. Correlation analysis assessed the relationship between glymphatic function, white matter integrity, and clinical scales. Machine learning models based on MRI indices were developed using the AutoGluon framework. The PVS volume (p < 0.001) was larger, and aDTI-ALPS index (p < 0.001) was lower in children with ASD compared to typically developing children. FA values were reduced in the ASD group and positively correlated with aDTI-ALPS index. The aDTI-ALPS index correlated with ASD severity (r = −0.27, p = 0.02) and developmental delays (r = 0.63, p < 0.001). Mediation analysis indicated the aDTI-ALPS index partially mediated the relationship between white matter integrity and developmental delay. The MRI-based model achieved an area under the curve of 0.84 for ASD diagnosis. Analyzing glymphatic function and white matter integrity enhances understanding of ASD’s neurobiological underpinnings. The multi-parametric MRI, combined with machine learning, can facilitate the early detection of ASD. Question How can multi-parametric MRI based on the glymphatic system improve early diagnosis of autism spectrum disorder (ASD) beyond the limitations of current behavioral assessments? Findings Glymphatic dysfunction and disruptions in white matter integrity were associated with clinical symptoms of ASD. Multi-parametric MRI with machine learning can improve early ASD detection. Clinical relevance Multi-parametric MRI, focusing on glymphatic function and white matter integrity, enhances the diagnostic accuracy of ASD by serving as an objective complement to clinical scales.

Detecting glutathione S-transferases (GSTs) in cardiovascular diseases is crucial for understanding oxidative stress and its role in disease progression, but it remains challenging due to GST's dynamic expression and interactions with other cellular components. In this study, the CS-GST optical probe was developed to monitor GST activity. The probe demonstrated unique optical properties, with fluorescence intensity increasing and photoacoustic signals decreasing upon interacting with GST. It showed excellent sensitivity and selectivity, with strong correlations between fluorescence and GST concentration. In cellular and in vivo experiments, CS-GST effectively tracked GST activity in foam cell models and mice, showing potential as a biomarker for cardiovascular diseases. Overall, CS-GST is a highly sensitive, selective, and stable tool with promising applications in cardiovascular disease research, offering a noninvasive method for real-time monitoring of GST activity.

This study develops an activatable optical probe (APNP) for specific detection of aminopeptidase N (APN), a key enzyme in obesity progression. APNP demonstrates high sensitivity, selectivity, and pH stability, enabling real-time monitoring of APN activity in vivo. Using diet-induced obese mice, we show APNP can detect metabolic dysfunction before histological changes occur, highlighting its diagnostic potential.

OBJECTIVE:To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). MATERIALS AND METHODS:We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson's partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. RESULTS:In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r ≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). CONCLUSION:Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.

This study presents WK-NE, an innovative near-infrared (NIR) fluorescent probe engineered for highly sensitive and selective detection of neutrophil elastase (NE), a key inflammatory protease implicated in cardiovascular diseases. Distinguished by its unique structural design, WK-NE incorporates a sulfonic acid group into its hemicyanine scaffold, significantly enhancing water solubility and eliminating the need for post-synthetic modifications-a critical advancement over conventional hydrophobic probes. The probe operates through an intramolecular charge transfer (ICT) mechanism, exhibiting a 5-fold fluorescence enhancement at 735 nm upon NE activation with exceptional specificity (R-2 = 0.9949, linear range 0-2.5 U/L) and minimal interference from biological analytes (<5 % signal variation). WK-NE demonstrates superior performance in physiological conditions (optimal pH 7.4, 37( degrees)C) and successfully tracks NE dynamics in living macrophages, mouse models, and clinical samples. Notably, it reveals progressive NE elevation in serum and cerebrospinal fluid of cardiovascular patients, correlating with disease severity, representing a transformative tool for cardiovascular research and clinical translation.

Background:Bilateral spastic cerebral palsy (BSCP) is frequently associated with communication impairments, with magnetic resonance imaging (MRI) revealing morphological and connectivity changes. We develop an individual diagnostic model for communication impairment using multivariate lesion and connectome-based approaches in BSCP children. Methods:A total of 28 children aged from 4 to 16 years diagnosed with BSCP and 31 matched typically developing children were recruited. All children received three-dimensional T1-weighted imaging (3D-T1WI) and diffusion tensor imaging (DTI) scans. Communication impairments were evaluated using the verbal comprehension index (VCI) and Communication Function Classification System (CFCS). The correlation between the MRI morphological and diffusion parameters and VCI and CFCS was analyzed, and support vector classification (SVC) algorithm was used to construct a diagnostic model of communication impairment in children with BSCP. Results:Children with BSCP showed reduced mean cortical surface areas and gray matter volumes mainly in the frontal and temporal lobes, along with widespread decreases in white matter connectivity [false discovery rate (FDR) correction, P<0.05]. The morphological alterations and white matter fiber of bilateral frontal lobes, sensory motor areas, and part of temporal occipital lobes were associated with communication impairment of BSCP children (P<0.05). The combined SVC model, based on gray matter morphology and white matter fiber index, can be utilized for diagnosing communication impairments in children with BSCP, achieving an accuracy of 80.77% and an area under the curve of 0.88. The cortex features that distinguished communication impairment in children with BSCP were predominantly found in the bilateral middle frontal gyrus, left middle temporal gyrus, and the white matter fiber features were primarily located within and between the bilateral frontal lobes, sensorimotor areas, and partial temporo-occipital lobes. Conclusions:The brain morphological and white matter connectivity changes are associated with communication impairment in BSCP children. The multi-parametric MRI can be used to establish an individualized diagnosis model of communication impairment in children with BSCP.

Background:Periventricular white matter injury (PVWMI) is the most common form of brain injury and the leading cause of cerebral palsy (CP). Early prediction of CP within the first 2 years of life is crucial for timely and effective intervention. Early CP prediction tools for infants with PVWMI are lacking. This study aimed to develop and validate a conventional Magnetic Resonance Imaging (MRI)-based model to predict CP in infants with PVWMI. Methods:In this multicentre retrospective cohort study in China, infants with PVWMI who underwent conventional MRI between 6 and 24 months of corrected age (CA) were included from five hospitals and confirmed to have CP or non-CP by 5 years of age. Between April 2013 and September 2018, a multivariable regression logistic model was developed and internally validated using data from one hospital to identify significant independent MRI features associated with CP, followed by external validation across four other hospitals. A visual nomogram was constructed based on these factors. Predictive performance was evaluated via the area under the receiver operating characteristic curve (AUC), calibration curves, and decision curves. Between October 2018 and January 2021, data from one hospital was included in a multiple readers test cohort (nine radiologists and two paediatric neurologists with varying experience) to assess the diagnostic performance and generalisability of the model. Subgroup analyses were conducted by age and sex. Findings:Across the two recruitment periods, 383 infants (65% male) with MRI-diagnosed PVWMI were included: 191 infants (122 with CP) in the derivation cohort, 115 (75 with CP) in the external validation cohort, and 77 (46 with CP) in the multiple readers test cohort. Five MRI features were associated with CP: abnormal signals in the posterior limb of the internal capsule (odds ratio [OR] 16.52; 95% confidence interval (CI) 5.78-52.67; P < 0.001), corticospinal tract in centrum semiovale (13.01; 3.49-62.30; P < 0.001), and cerebral peduncle (5.54; 1.20-32.15; P = 0.04), abnormal signals or atrophy in the thalamus (4.76; 1.41-19.32; P = 0.02) and lenticular nucleus (4.58; 1.24-21.35; P = 0.03). The model yielded an AUC of 0.94 (95% CI 0.91-0.98) in the derivation cohort. Similar AUCs were achieved in the internal (0.96 [0.93-0.99]) and external (0.92 [0.86-0.97]) validation cohorts. In the multiple readers test cohort, the average AUC, average sensitivity, and average specificity of 11 readers were 0.96 (95% CI 0.93-0.99), 0.90 (0.84-0.96), and 0.88 (0.77-0.98), respectively. Subgroup analyses were robust, yielding similar AUCs. Interpretation:The conventional MRI-based model showed good performance for predicting CP in infants aged 6-24 months with PVWMI and also had good diagnostic performance and generalisability, which may assist in identifying high-risk infants of CP and facilitating timely interventions. Future work with external validation in diverse countries and socioeconomic contexts are needed. Funding:National Natural Science Foundation of China, Key R&D Program of Shanxi Province, National Medical Centre Project of the First Affiliated Hospital of Xi'an Jiaotong University, Henan Provincial Health Commission National Traditional Chinese Medicine Clinical Research Base Scientific Research Special Fund, and Clinical Research Award of the First Affiliated Hospital of Xi'an Jiaotong University.

Colitis is a common inflammatory bowel disease, and early diagnosis is crucial for effective treatment. Gamma-glutamyltransferase (GGT) has been suggested as a potential biomarker for colitis, but current detection methods face challenges in sensitivity and specificity. Therefore, developing a sensitive and practical tool, especially one that uses serum samples, is important for improving clinical diagnosis. In this study, a novel fluorescent probe was developed to detect GGT activity in serum samples. The probe was incubated with serum from both colitis and healthy mice, and fluorescence measurements revealed significantly higher signals in the colitis group, indicating elevated GGT activity. This demonstrates the probe's high sensitivity and its potential for identifying colitis through serum detection.The findings support the clinical use of this probe for detecting GGT activity in inflammatory diseases like colitis, offering a simple and efficient diagnostic tool for early diagnosis and treatment.

IntroductionAutism Spectrum Disorder (ASD) is a complex neurodevelopmental condition characterized by impairments in motor skills, communication, emotional expression, and social interaction. Accurate diagnosis of ASD remains challenging due to the reliance on subjective behavioral observations and assessment scales, lacking objective diagnostic indicators.MethodsIn this study, we introduced a novel approach for diagnosing ASD, leveraging T1-based gray matter and ASL-based cerebral blood flow network metrics. Thirty preschool-aged patients with ASD and twenty-two typically developing (TD) individuals were enrolled. Brain network features, including gray matter and cerebral blood flow metrics, were extracted from both T1-weighted magnetic resonance imaging (MRI) and ASL images. Feature selection was performed using statistical t-tests and Minimum Redundancy Maximum Relevance (mRMR). A machine learning model based on random vector functional link network was constructed for diagnosis.ResultsThe proposed approach demonstrated a classification accuracy of 84.91% in distinguishing ASD from TD. Key discriminating network features were identified in the inferior frontal gyrus and superior occipital gyrus, regions critical for social and executive functions in ASD patients.DiscussionOur study presents an objective and effective approach to the clinical diagnosis of ASD, overcoming the limitations of subjective behavioral observations. The identified brain network features provide insights into the neurobiological mechanisms underlying ASD, potentially leading to more targeted interventions.

Lipid metabolism diseases have become a tremendous risk worldwide, along with the development of productivity and particular attention to public health. It has been an urgent necessity to exploit reliable imaging strategies for lipids and thus to monitor fatty liver diseases. Herein, by converting the NIR-I signal to the NIR-II signal with IR1061 for the monitoring of lipid, the in vivo imaging of fatty liver disease was promoted on the contrast and visual effect. The main advantages of the imaging promotion in this work included a long emission wavelength, rapid response, and high signal-background-ratio (SBR) value. After promoting the NIR-I signal to NIR-II signal, IR1061 achieved higher SBR value and exhibited a dose-dependent fluorescence intensity at 1100 nm along with the increase of the EtOH proportion as well as steady and selective optical responses toward liposomes. IR1061 was further applied in the in vivo imaging of lipid in fatty liver diseases. In spite of the differences in body weight gain and TC level between healthy mice and fatty liver diseases two models, IR1061 achieved high-resolution imaging in the liver region to monitor the fatty liver disease status. This work might be informatic for the clinical diagnosis and therapeutical treatments of fatty liver diseases.

Cardiovascular disease (CVD) is a chronic disease characterized by the accumulation of lipids and fibrous tissue within the arterial walls, potentially leading to vascular obstruction and an increased risk of heart disease and stroke. Hydroxyl radicals play a significant role in the formation and progression of CVD as they can instigate lipid peroxidation, resulting in cellular damage and inflammatory responses. However, precisely detecting hydroxyl radicals in CVD lesions presents significant challenges due to their high reactivity and short lifespan. Herein, we present the development and application of a novel activatable optical probe, Cy-OH-LP, designed to detect hydroxyl radicals in lipid-rich environments specifically. Built on the Cy7 molecular skeleton, Cy-OH-LP exhibits near-infrared absorption and fluorescence characteristics, and its specific response to hydroxyl radicals enables a turn-on signal in both photoacoustic and fluorescence spectra. The probe demonstrated excellent selectivity and stability in various tests. Furthermore, Cy-OH-LP was successfully applied in an in vivo model to detect hydroxyl radicals in mouse models, providing a potential tool for diagnosing and monitoring AS. The biosafety of Cy-OH-LP was also verified, showing low cytotoxicity and no significant organ damage in mice. The findings suggest that Cy-OH-LP is a promising tool for the specific detection of hydroxyl radicals in lipid-rich environments, providing new possibilities for research and clinical applications in the field of oxidative stress-related diseases.

Recent investigations have revealed the tight connections between carboxylesterase (CE) and the lipid metabolism-associated disorders. In this work, based on the previous reports, a photoacoustic (PA) probe Hcy-CE was developed for the in vivo imaging of CE in two lipid metabolism disorders. The reaction with CE led to the departure of the carbamate quencher together with the linkage, thus to release of the reporter Hcy to exhibit the turn-on signals of PA reporting accompanied with the absorbance and fluorescence modes. The responses in all three modes showed high consistency. In the PA mode, the linear correlation range was CE level 0-10 U/L, while the limit of detection value was 0.52 U/mL. The optical performance of the probe Hcy-CE in the solution system was practical with high steadiness and selectivity. Moreover, Hcy-CE exhibited potential capability of monitoring the CE level in the induced foam cells. In particular, Hcy-CE realized the in vivo imaging of the CE level from multiple views and continuous cross-sections in the model mice of different groups. The combination of the PA imaging with the blood biochemical tests and immunohistochemically staining methods might help distinguish the three statuses of different mice from each other. This work provided meaningful information for the accurate diagnosis and regulation of the lipid metabolism-related disorders.

In this work, a photoacoustic (PA) probe, HDS-GGT, was developed for the in vivo imaging of cardiovascular diseases by monitoring the γ-glutamyl transferase (GGT) dynamics. HDS-GGT exhibited a stable PA signal with auxiliary absorbance and NIRF variation after the trigger by GGT. In all three modalities of absorbance, NIRF, and PA, HDS-GGT could quantitatively reflect the GGT level. In PA modality, HDS-GGT indicated the practical advantages including high sensitivity, high stability, and high specificity. In living oxidized low-density lipoprotein-induced RAW264.7 cells, HDS-GGT indicated proper capability for imaging the plaques by visualizing the GGT dynamics. Moreover, during imaging in living model mice, HDS-GGT was achieved to distinguish the plaques from healthy blood vessels via a multiview PA presentation. HDS-GGT could also suggest the severity of plaques in the extracted aorta from the model mice, which was consistent with the histological staining results. The information herein might be useful for future investigations on cardiovascular diseases.

住院医师规范化培训制度是保障我国医疗卫生事业健康、持续发展的重要举措,是毕业后继续医学教育的重要组成部分.目前,儿科住院医师规范化培训已由医院内部培训转变为社会化培训,其中放射科轮转培训是儿科住院医师规范化培训的重要组成部分,全国各地区、各单位由于不同的师资力量、专业背景、教学能力,放射科轮转培训的水平参差不齐.文章基于我国儿科住院医师规范化培训特点及西安市儿童医院儿科住院医师在放射科规范化培训的实践情况,阐述儿科住院医师在放射科轮转培训期间存在的问题和不足,提出可能的解决方案,以期提高儿科住院医师的影像专业水平,造福广大患儿.

Autism spectrum disorder (ASD) is a neurodevelopmental disorder in children. Early diagnosis and intervention can remodel the neural structure of the brain and improve quality of life but may be inaccurate if based solely on clinical symptoms and assessment scales. Therefore, we aimed to analyze multimodal magnetic resonance imaging (MRI) data from the existing literature and review the abnormal changes in brain structural–functional networks, perfusion, neuronal metabolism, and the glymphatic system in children with ASD, which could help in early diagnosis and precise intervention. Structural MRI revealed morphological differences, abnormal developmental trajectories, and network connectivity changes in the brain at different ages. Functional MRI revealed disruption of functional networks, abnormal perfusion, and neurovascular decoupling associated with core ASD symptoms. Proton magnetic resonance spectroscopy revealed abnormal changes in the neuronal metabolites during different periods. Decreased diffusion tensor imaging signals along the perivascular space index reflected impaired glymphatic system function in children with ASD. Differences in age, subtype, degree of brain damage, and remodeling in children with ASD led to heterogeneity in research results. Multimodal MRI is expected to further assist in early and accurate clinical diagnosis of ASD through deep learning combined with genomics and artificial intelligence.

Objective:To prepare a fluorescent probe Cetuximab-IRDye800CW targeting epidermal growth factor receptor (EGFR) and investigate its application value in surgical navigation of glioblastoma (GBM).Methods:The fluorescence properties of Cetuximab-IRDye800CW were determined by fluorescence spectrophotometer. The specificity of Cetuximab-IRDye800CW bound to GBM cells was verified by Western blot. The competitive binding method of enzyme-linked immunosorbent assay (ELISA) was used to prove whether the probe could achieve tumor targeting by binding to EGFR. Subcutaneous models of 6 nude mice of GBM were divided into experimental group ( n=3; injected with Cetuximab-IRDye800CW) and control group ( n=3; injected with IRDye800CW), and images were obtained at 5 min, 24 h, 48 h and 72 h after injection. Differences of mean fluorescence intensity (MFI) and tumor to background ratio (TBR) between experimental group and control group were compared. In situ models of GBM nude mice were established ( n=6), and MRI and intraoperative navigation were conducted, which were compared with pathological distribution. Independent-sample t test was used to analyze the data. Results:The maximum emission wavelength of Cetuximab-IRDye800CW was 820 nm, which could be received by near infrared fluorescence imaging equipment. Western blot showed that Cetuximab-IRDye800CW was only bound to GBM cells. The competitive binding of ELISA showed that Cetuximab-IRdye800CW could achieve tumor targeting by binding with EGFR. At 5 min, 24 h, 48 h and 72 h after injection of fluorescent materials, the MFI values of experimental group were 109.00±3.81, 73.36±9.93, 55.24±8.82, 37.71±6.11, which were higher than those of control group (91.32±4.17, 42.91±5.39, 25.08±6.05, 8.33±1.00; t values: 4.36-9.40, P values: 0.011-0.049). The TBR of experimental group was higher than that of control group at 24 h and 48 h after injection (24 h: 2.40±0.28 vs 1.57±0.07, t=4.94, P=0.039; 48 h: 2.07±0.12 vs 1.22±0.08, t=9.85, P=0.010). GBM in situ model was successfully constructed and verified by MRI, and the tumor was visualized under the fluorescence device navigation. Pathological distribution of the tumor with HE staining was consistent with fluorescence imaging. Conclusion:Cetuximab-IRDye800CW has fluorescence imaging capability and can identify tumor boundaries in intraoperative navigation of GBM, which has potential clinical application value.