Objective This study aims to explore the application value of spectral CT and perfusion CT parameters in the pathological classification and prognostic assessment of lung cancer.Methods A total of 94 lung cancer patients confirmed by pathology at Shanghai Chest Hospital from January 2023 to November 2024 were included in the study,including 49 cases of lung adenocarcinoma(LUAD),30 cases of lung squamous cell carci-noma(LUSC),and 15 cases of small cell lung cancer(SCLC).All patients underwent spectral CT combined with perfusion scanning using a 256-slice Revolution Apex from GE.Two radiologists independently measured the spectral and perfusion parameters of the three groups of images,including spectral curve slope(K),iodine concentration in the lesion area(ICL),effective atomic number(Zeff),surface permeability(PS),and perfusion index(PI),and established a lung cancer pathological subtype discrimination prediction model based on spectral CT radiomics features.All subjects were randomly divided into a training group and a validation group at a ratio of 3∶1.The discrimination efficacy of the spectral discrimination model between different pathological subtypes and the discrimination efficacy of arterial and venous phase images were compared in multiple dimensions.The performance of the model was evaluated using the receiver operating characteristic(ROC)curve.Results Statistical analysis showed that the spectral curve slope,ICL,NIC,and Zeff of LUAD patients were significantly higher than those of LUSC and SCLC patients(P<0.05),while there were no significant differences in these parameters between LUSC and SCLC patients(P>0.05).Among the perfusion CT parameters,surface permeability(PS)showed significant differences among the three groups(P<0.05),while blood volume(BV),blood flow(BF),perfusion index(PI),time to peak(TTP),and mean transit time(MTT)did not show statistical differences.The multi-factor logistic regression model based on spectral parameters showed strong discriminatory performance:the area under the curve(AUC)of the LUAD and LUSC discrimination model was 0.806/0.77(training group/test group)in the arterial phase and 0.867/0.9(training group/test group)in the venous phase;the AUC of the LUAD and SCLC discrimination model was 0.885/0.883(training group/test group)in the arterial phase and 0.851/0.776(training group/test group)in the venous phase.Conclusion This study indicates that the multi-dimensional functional metabolic analysis indicators of spectral and perfusion CT imaging have significant value in the differential diagnosis of lung cancer pathological subtypes.The diagnostic model constructed by combining multiple spectral parameters can significantly improve the discrimination efficacy of lung adenocarcinoma,squamous cell carcinoma,and small cell lung cancer,providing precise imaging evidence for the formulation of individualized treatment plans.

Various growth factors are key molecules in wound healing and exert regulatory effects at all stages of healing. Fibroblast growth factors (FGFs), with their prominent pro-growth activity, play a crucial role in promoting proliferation during the proliferative phase of wound healing. By binding to fibroblast growth factor receptors, FGFs activate downstream signaling pathways to regulate wound inflammation, reduce oxidative stress, promote cell proliferation, angiogenesis, and extracellular matrix remodeling. This facilitates the transition of wounds from the " inflammatory phase" to the " proliferative phase" and enhances proliferative healing. The clinical therapeutic value of FGFs in acute and chronic wounds has been widely confirmed, but their full efficacy is limited by issues such as short half-life and poor delivery efficiency. Research focusing on innovative FGF delivery materials and molecular modification strategies will become a key direction to break through current therapeutic bottlenecks and unlock their greater therapeutic potential.

Objective This study aims to explore the application value of spectral CT and perfusion CT parameters in the pathological classification and prognostic assessment of lung cancer.Methods A total of 94 lung cancer patients confirmed by pathology at Shanghai Chest Hospital from January 2023 to November 2024 were included in the study,including 49 cases of lung adenocarcinoma(LUAD),30 cases of lung squamous cell carci-noma(LUSC),and 15 cases of small cell lung cancer(SCLC).All patients underwent spectral CT combined with perfusion scanning using a 256-slice Revolution Apex from GE.Two radiologists independently measured the spectral and perfusion parameters of the three groups of images,including spectral curve slope(K),iodine concentration in the lesion area(ICL),effective atomic number(Zeff),surface permeability(PS),and perfusion index(PI),and established a lung cancer pathological subtype discrimination prediction model based on spectral CT radiomics features.All subjects were randomly divided into a training group and a validation group at a ratio of 3∶1.The discrimination efficacy of the spectral discrimination model between different pathological subtypes and the discrimination efficacy of arterial and venous phase images were compared in multiple dimensions.The performance of the model was evaluated using the receiver operating characteristic(ROC)curve.Results Statistical analysis showed that the spectral curve slope,ICL,NIC,and Zeff of LUAD patients were significantly higher than those of LUSC and SCLC patients(P<0.05),while there were no significant differences in these parameters between LUSC and SCLC patients(P>0.05).Among the perfusion CT parameters,surface permeability(PS)showed significant differences among the three groups(P<0.05),while blood volume(BV),blood flow(BF),perfusion index(PI),time to peak(TTP),and mean transit time(MTT)did not show statistical differences.The multi-factor logistic regression model based on spectral parameters showed strong discriminatory performance:the area under the curve(AUC)of the LUAD and LUSC discrimination model was 0.806/0.77(training group/test group)in the arterial phase and 0.867/0.9(training group/test group)in the venous phase;the AUC of the LUAD and SCLC discrimination model was 0.885/0.883(training group/test group)in the arterial phase and 0.851/0.776(training group/test group)in the venous phase.Conclusion This study indicates that the multi-dimensional functional metabolic analysis indicators of spectral and perfusion CT imaging have significant value in the differential diagnosis of lung cancer pathological subtypes.The diagnostic model constructed by combining multiple spectral parameters can significantly improve the discrimination efficacy of lung adenocarcinoma,squamous cell carcinoma,and small cell lung cancer,providing precise imaging evidence for the formulation of individualized treatment plans.

Various growth factors are key molecules in wound healing and exert regulatory effects at all stages of healing. Fibroblast growth factors (FGFs), with their prominent pro-growth activity, play a crucial role in promoting proliferation during the proliferative phase of wound healing. By binding to fibroblast growth factor receptors, FGFs activate downstream signaling pathways to regulate wound inflammation, reduce oxidative stress, promote cell proliferation, angiogenesis, and extracellular matrix remodeling. This facilitates the transition of wounds from the " inflammatory phase" to the " proliferative phase" and enhances proliferative healing. The clinical therapeutic value of FGFs in acute and chronic wounds has been widely confirmed, but their full efficacy is limited by issues such as short half-life and poor delivery efficiency. Research focusing on innovative FGF delivery materials and molecular modification strategies will become a key direction to break through current therapeutic bottlenecks and unlock their greater therapeutic potential.

Objective:To analyze the correlation between cognitive impairment and cortical atrophy in elderly patients with asymptomatic carotid artery stenosis (ACAS).Methods:In this cross-sectional study, 40 consecutive elderly patients with ACAS treated in the Department of Neurology, Northern Jiangsu People′s Hospital from July 1, 2020 to June 30, 2021 (ACAS group), and 40 elderly healthy controls who accepted physical examination during the same period (control group) were included. Cognitive assessment was performed using the Mental State Examination Scale (MMSE) and the Montreal Cognitive Assessment Scale (MoCA), and brain magnetic resonance imaging scanning was performed in the ACAS group. The artificial intelligence technique was applied for brain lobe segmentation and cortical volume calculation. The χ2-test, independent sample t-test and Wilcoxon non-parametric test were used to analyze the difference of clinical data and cognitive scores between the two groups. In the ACAS group, the cortical volumes of the side with carotid stenosis was compared with that of the normal side, and Spearman′s correlation analysis was used to assess the correlation between cognitive scores and cortical atrophy. Results:Compared with the control group, the ACAS group got significantly lower scores of MMSE and MoCA, as well as lower scores of visuospatial executive function, attention and calculation, language function, abstraction ability and delayed recall [(25.60±2.49) vs (27.18±1.01), (22.05±3.59) vs (25.60±1.43), (2.73±1.04) vs (4.08±0.62), (4.53±0.93) vs (5.03±0.66), 2.00 (0.00) vs 3.00 (0.00), 1.00 (1.00) vs 2.00 (0.00), and (2.95±0.96) vs (3.35±0.62)] (all P<0.05). There was not significant differences in naming and orientation ability between the two groups (both P>0.05). The volume of cortical, temporal lobe, frontal lobe, parietal lobe and insular lobe on the side with carotid stenosis in the ACAS group were significantly smaller than those on the normal side [186.23 (177.97, 202.53) vs 194.67 (185.65, 204.82) cm 3, 54.74 (50.66, 56.95) vs 55.61 (51.24, 58.49) cm 3, 72.98 (70.76, 78.34) vs 75.27 (72.34, 80.66) cm 3, 53.66 (51.11, 57.86) vs 56.59 (52.80, 60.09) cm 3, 6.57 (6.35, 7.07) vs 6.72 (6.46, 7.34) cm 3] (all P<0.05). The MoCA score in the ACAS group was positively related to the cortical volume ratio of the two sides ( r=0.427, P<0.01). The attention ( r=0.353) and abstraction ( r=0.226) ability scores were positively correlated with the temporal lobe volume ratios of the two sides (both P<0.05). The visuospatial executive ( r=0.187) and language ( r=0.373) ability scores were positively correlated with frontal lobe volume ratios of the two sides (both P<0.05), and visuospatial executive ( r=0.386), naming ( r=0.344), language ( r=0.517), abstraction ( r=0.335) and delayed recall ( r=0.333) ability scores were positively correlated with parietal lobe volume ratios of the two sides (all P<0.05). Conclusion:In elderly patients with ACAS, the cognitive impairment and cortical atrophy on the sides with carotid stenosis are significant and a positive correlation is detected between them.

Objective:To explore the effect of "medical clown" assisted anesthesia intervention in pediatric surgery.Methods:From May 2018 to May 2020, a total of 1 200 surgical children admitted to the First Affiliated Hospital of Zhengzhou University were selected as the research object. The children were divided into a control group and an observation group with the random number table method, each with 600 cases. The control group completed anesthesia intervention according to the conventional method, and the observation group was given "medical clown" assisted anesthesia intervention. The mean arterial pressure (MAP) , heart rate (HR) , and the modified Face, Legs, Activity, Crying, Consolability (FLACC) score of the two groups of children at different time points were compared. At the same time, the anesthesia Induction Compliance Checklist (ICC) score, and the modified Yale Preoperative Anxiety Scale-Short Form (mYPAS) score of the two groups of children and the satisfaction of the family members with the operation when the child came to the hospital for review one month later were recorded.Results:The MAP, HR, and FLACC scores of the two groups were compared at different time points, and the differences were statistically significant ( P<0.05) . After the intervention, the ICC and mYPAS scores of the observation group were lower than those of the control group, and the satisfaction of the family members of the children was higher than that of the control group, and the differences were statistically significant ( P<0.05) . Conclusions:The application of "medical clown" assisted anesthesia intervention in pediatric surgery can stabilize the basic indicators of children, reduce anxiety, and have a high degree of cooperation in anesthesia.

OBJECTIVESTo investigate the expression of macrophage migration inhibitory factor (MIF) mRNA in Schwann cells after peripheral nerve injury and roles of Schwann cells and MIF in macrophages activation and nerve regeneration.

METHODSFifty SD rats were divided into 10 groups. One group served as normal control. The rest were anesthetized with 3% sodium pentobarbital (30 - 60 mg/kg, i.p) and sciatic nerves were transected distal to the obturator tendon respectively 1 h, 12 h, 1 d, 3 d, 7 d, 10 d, 14 d, 17 d and 21 d before being killed. Sciatic nerves were resected and connective tissues excised. Schwann cells were obtained by digesting the nerve tissues with trypsin and collagenase. RNA was isolated and reverse-transcription-polymerase chain reaction (RT-PCR) was carried out. cDNA was analyzed by automatic system and the parameters were assessed to define the status of MIF mRNA expression in different groups.

RESULTSThe level of MIF mRNA started to increase 12 h after the nerve transection. The level remained high from day 7 up to 10 after the injury. During the period from days 10 to 21, MIF mRNA decreased slowly to the pre-transection level.

CONCLUSIONAfter peripheral nerve injury, Schwann cells can secrete MIF which may play a pivotal role as an immunomodulatory cytokine in macrophage activation and inflammatory reaction.

Animals ; Female ; Macrophage Migration-Inhibitory Factors ; genetics ; Male ; Peripheral Nerve Injuries ; RNA, Messenger ; analysis ; Rats ; Rats, Sprague-Dawley ; Reverse Transcriptase Polymerase Chain Reaction ; Schwann Cells ; metabolism

Objective To investigate the possible role and mechanism of the neurotoxic effect of dexamethasone on adult rats after having focal cerebral ischemia. Methods The rat model of focal cerebral ischemia was established by permanent middle cerebral artery occlusion (MCAO) One hour after ishemia,the experimental groups were treated with dexamethasone (5 mg/kg) while the control groups were treated with saline TUNEL staining and In-suit RT-PCR were used to show the changes of apoptosis and the expression of Fas mRNA at ipsilateral cerebral hemisphere. Results TUNEL positive cells were present in a time from 48 h to 72 h, localizing at peripheral ischemic area The expression of Fas mRNA at peripheral ischemic area in control groups began at 12 h, peaked at 24 h, and decreased to a lower level at 48 h and 72 h, and returned to the baseline at 120 h Treatment with dexamethasone after ischemia made apoptosis present at 24 h and the number of TUNEL positive cells at 48 h exceeded that in the control group at 48 h ( P

Objective To study the expression of TGF ? 1 protein and the changes of microglia of adult rats' brain treated with dexamethasone following permanent focal cerebral ischemia as to elucidating the neurotoxic effect of dexamethasone. Methods The adult rat's models of permanent focal cerebral ischemia were established by permanent middle cerebral artery occlusion.One hour after ischemia experimental groups were treated with dexamethasone (0.5 mg?kg -1?d -1) where as the control groups were treated with saline. The size of infarct was detected by Q570 image analysis system. Immunohistochemistry and picture analyses were performed to observe the expression of TGF ? 1 protein. The microglia was demonstrated by histochemical staining with isolectin-B4.? Result Dexamethasone treatment after ischemia increases the infarct volume significantly. The expression of TGF ? 1 and the changes of microglia were mainly located at the border zone of the infarct. The accumulation of the isolectin-positive microglia began at 12 h,peaked at 2d, decreased at 5 d. The densities of microglia in the groups treated with dexamethasone after ischemia decreased significantly at 12 h,24 h and 3 d as compared with the control groups, and disappeared at 5 d.The expression time-course of TGF ? 1 protein was two-phase. The first peak of expression was at 6 h; the second was from 24 h to 72h. The significant decrease in expression of TGF? 1 protein in rats treated with dexamethasone was observed at 6 h,24 h and 72h compared with that of control group. Conclusion The exceeding inhibition of the response of microglia and the two-phase expression of TGF ? 1 protein at the border zone of infarct may play a role in the neurotoxic effect of dexamethasone on cerebral ischemia.

Object To determine the content of muscone in preparation Methods Standard addition, DNP derivatization and HPLC with electrospray ionization tandem mass spectrometry (LC/ESI MS/MS) were utilized Results Identification of muscone hydrazone in the sample was based on the unique mass spectra of the standard Under an optimum condition peak corresponding to + ion and characteristic fragments for muscone hydrazone were observed ESI and APCI full scan m/z 419 MS/MS had the same relative molecular mass and fragmentation pattern The recovery was 102 5% with RSD ≤ 2 76% (n=5) Conclusion The qualitative and quantitative determination on muscone could be fulfilled simultaneously