Objective: To evaluate the diagnostic potential of fluid suppression (FS) techniques combined with amide proton transferweighted imaging (APTw) for assessment of isocitrate dehydrogenase (IDH) mutation status, glioma subtypes, and tumor proliferation. Materials and Methods: This retrospective study included 117 patients with adult-type diffuse gliomas. Conventional APTw, FSAPTw, and spillover-corrected FS-APTw (SCFS-APTw) metrics were calculated from 3T MRI data in tumor parenchyma, necrotic or cystic regions, and contralateral normal-appearing white matter. APTw signals were compared across the three techniques within each region, between IDH-mutant and IDH-wildtype gliomas, and among astrocytoma, oligodendroglioma, and glioblastoma subtypes. Diagnostic performance for distinguishing IDH mutation status and glioma subtypes was assessed using receiver operating characteristic (ROC) analysis. Correlations between APTw metrics and Ki-67 expression were also analyzed. Results: Both FS-APTw and SCFS-APTw significantly reduced signal intensity in tumor parenchyma and necrotic or cystic regions, with SCFS-APTw demonstrating a stronger suppression effect. IDH-wildtype gliomas showed significantly higher APTw metrics than IDH-mutant gliomas (all P < 0.001). Glioblastomas exhibited significantly higher metrics than oligodendrogliomas (all corrected P ≤ 0.015) and astrocytomas (all corrected P < 0.001). SCFS-APTw achieved the highest area under the ROC curve (AUC) of 0.846 for identification of IDH mutation status. For differentiation between astrocytomas and glioblastomas, the 90th percentile of APTw yielded the highest AUC (0.860), followed by SCFS-APTw (0.849). For discrimination between oligodendrogliomas and glioblastomas, the highest AUC (0.832) was obtained using the 90th percentile of SCFS-APTw. None of these metrics successfully differentiated oligodendrogliomas from astrocytomas. SCFS-APTw demonstrated the strongest correlation with Ki-67 expression (r = 0.451). Conclusion FS techniques effectively reduce elevated APTw signals originating from fluid compartments. Their combination with APTw imaging enables evaluation of IDH mutation status, glioma subtypes, and tumor proliferative activity in adulttype diffuse gliomas.

Renal hilar tumors pose significant surgical challenges due to their proximity to major renal vessels and the collecting system. In robot-assisted partial nephrectomy, although both anterior and posterior lip tumors are considered renal hilar tumors, their operative difficulty and complication profiles differ markedly owing to distinct anatomical relationships and vascular adjacency. Anterior lip tumors, often involving tributaries of the renal vein, carry a relatively higher risk of intraoperative and postoperative bleeding. In contrast, posterior lip tumors, closer to the renal artery, are more likely to prolong warm ischemia time, thereby increasing the risk of postoperative renal impairment. Regarding urine leakage, although anterior lip tumors are theoretically closer to the collecting system and may pose a slightly elevated risk, precision reconstruction strategies—such as lip reconstruction based on sinus space anatomy—can effectively mitigate this risk. However, the specific difference in urine leakage risk between anterior and posterior lip tumors warrants further investigation. Both anterior and posterior lip tumors of the kidney can achieve low positive surgical margin rates in experienced centers. Complication risks are affected by multiple factors, including tumor anatomical complexity, warm ischemia time, and surgeon experience. Notably, R.E.N.A.L. score＞8 is associated with significantly increased complication risks. Preoperative meticulous imaging evaluation, selection of an appropriate surgical approach based on tumor location, controlled warm ischemia time, and application of delicate suturing and reconstruction techniques are essential strategies to reduce complications.

Advancements in artificial intelligence(AI)and emerging technologies are rapidly expanding the exploration of chemical space,facilitating innovative drug discovery.However,the transformation of novel compounds into safe and effective drugs remains a lengthy,high-risk,and costly process.Comprehensive early-stage evaluation is essential for reducing costs and improving the success rate of drug development.Despite this need,no comprehensive tool currently supports systematic evaluation and efficient screening.Here,we present druglikeFilter,a deep learning-based framework designed to assess drug-likeness across four critical dimensions:1)physicochemical rule evaluated by systematic determination,2)toxicity alert investigated from multiple perspectives,3)binding affinity measured by dual-path analysis,and 4)compound synthesizability assessed by retro-route prediction.By enabling automated,multidimensional filtering of compound libraries,druglikeFilter not only streamlines the drug development process but also plays a crucial role in advancing research efforts towards viable drug candidates,which can be freely accessed at https://idrblab.org/drugfilter/.

Objective:To investigate the value of biparametric-MRI (bpMRI) based peritumoral radiomics for preoperative prediction of extraprostatic extension (EPE) in prostate cancer (PCa).Methods:In this cross-sectional study, consecutive bpMRI of patients undergoing prostatectomy for PCa were retrospectively collected from the First Medical Center (center 1) and the Third Medical Center (center 2) of Chinese PLA General Hospital. A total of 274 patients were finally enrolled. Patients at center 1 from January 2020 to December 2022 were randomly divided into a training set (149 cases) and an internal validation set (63 cases) by stratified random sampling. Patients at center 2 from January 2023 to March 2024 were assigned to the external test set (62 cases). Patients were categorized into EPE-positive group and EPE-negative group according to pathological assessment postoperatively. In the training set, there were 49 cases in EPE-positive group and 100 cases in EPE-negative group. In the internal validation set, there were 26 cases in EPE-positive group and 37 cases in EPE-negative group. In the external test set, there were 22 cases in EPE-positive group and 40 cases in EPE-negative group. Axial T 2WI and apparent diffusion coefficient (ADC) images were manually annotated to obtain index lesion regions of interest (ROIs), with the peritumoral ROIs subsequently delineated by semi-automatic segmentation technique. Radiomics features were extracted from intra-tumoral, peri-tumoral, and intra-tumoral plus peri-tumoral ROIs. The training set data was employed to select and optimize features to build the radiomics models. The logistic regression analysis was used to develop radiomics, clinical, and integrated models. The predictive performance was assessed by the area under the receiver operating characteristic curve (AUC) in the external test set, and compared by the DeLong test. The sensitivity and specificity were compared by the exact McNemar test. Results:In the external test set, the peri-tumoral radiomics model based on bpMRI showed the highest performance in evaluating EPE, with an AUC of 0.739 (95% CI 0.611-0.842), which was identified as the optimal radiomics model. EPE grade ( OR=6.151, 95% CI 3.371-11.226, P<0.001) was incorporated into the clinical model, with an AUC of 0.780 (95% CI 0.657-0.875) in the external test set. The integrated model had an AUC of 0.817 (95% CI 0.698-0.904) in the external test set. There was no statistically significant difference in comparisons of AUCs among the three models (all P>0.05). The sensitivity of the integrated model (68.2%) showed no significant difference from those of the clinical model and the optimal radiomics model (77.3% and 86.4%, respectively; P=0.500 and P=0.289). However, the specificity of the integrated model (85.0%) was significantly higher than those of the clinical model (67.5%, P=0.016) and the optimal radiomics model (50.0%, P<0.001). Conclusion:A bpMRI-based peritumoral radiomics integrating clinical model demonstrates high performance for preoperative prediction of EPE in PCa.

Objective:To evaluate the safety and efficacy of accelerator-based boron neutron capture therapy (AB-BNCT) in the treatment of recurrent and refractory malignant tumors.Methods:The data of 14 patients admitted to Xiamen Humanity Hospital from September 2022 to April 2023 were prospectively collected, including 7 patients with primary brain malignancies and 7 patients with locally recurrent inoperable head and neck malignancies. All patients received intravenous infusion of boron drug (NBB-001, p-dihydroxyborylphe nylalanine, a patented freeze-dried formulation) at a total nominal dosage of 500 mg/kg (11 patients) or 750 mg/kg (3 patients), and were irradiated with neutrons (operating with NeuPex system). Adverse events after treatment were recorded and assessed. The primary efficacy endpoint was the 90 d objective response rate (ORR), while the secondary endpoints included progression-free survival (PFS) and complete response rate (CRR). Data were compiled and analyzed by SAS 9.4 software. The rate and 95% CI were calculated using Clopper-Pearson method. Results:The median dose delivered to 80% of the target volume (D 80%) was 16.80 GyE (range: 8.93-23.79 GyE). The most common adverse reactions were hyperamylasemia, alopecia, and hyperprolactinemia. Five patients experienced 8 cases of grade 3 or above adverse events, including 1 case of grade 4 acute kidney injury and 7 cases of grade 3 adverse events. All adverse events were recovered after observation or treatment. At 90 d after treatment, the ORR of all patients was 9/14 (64%, 95% CI: 35%-87%), disease control rate (DCR) was 10/14 (71%, 95% CI: 42%-92%), CRR was 2/14 (14%, 95% CI: 2%-42%); and the best overall response during the entire course included an ORR of 10/14 (71% ,95% CI: 42%-92%), DCR of 13/14 (93%, 95% CI: 66%-100%), and CRR of 3/14 (21% ,95% CI: 5%-51%). The 1-year survival rate for head and neck malignancies was 71.4%, and the 2-year survival rate was 42.8%. The 1-year survival rate for recurrent brain malignancies was 42.8%. Conclusion:AB-BNCT demonstrates favorable safety and promising efficacy in treating primary brain malignancies and recurrent/refractory head and neck malignancies, representing a potential therapeutic option.

Objective:To compare the clinical manifestations,laboratory results,and imaging features between pyogenic spondylitis(PS) and tuberculous spondylitis(TS).Methods:This was a cross-sectional study. A total of 88 patients with infectious diseases of spine(IDS) admitted to Shanghai Sixth People′s Hospital from January 2021 to December 2023 were analyzed,including 61 PS cases(PS group) and 27 TS cases(TS group). The clinical manifestations,laboratory results,and imaging features were compared between two groups. The factors associated with PS were analyzed by multivariate logistic regression. The diagnostic efficacy for pathogen identification was compared between metagenomics next-generation sequencing(mNGS) and bacterial culture methods in PS and TS patients.Results:Compared with the TS group,the PS group had a higher age-adjusted Charlson comorbidity index(aCCI)[3.0(1.5,4.0) points vs. 2.0(1.0,3.0) points, Z=-2.189, P=0.029],shorter onset time of disease[1.0(0.8,3.0) months vs. 6.0(2.0,12.0) months,Z=-4.353, P<0.001],and higher median blood leukocyte counts and serum ferritin(SF) level(7.2×10 9/L vs. 6.3×10 9/L, Z=-2.652, P=0.008; 571.3 ng/ml vs. 266.0 ng/ml, Z=-4.773, P<0.001). The proportions of lumbar spine involvement,non-collapsed involved vertebrae,and bone bridges formed were all higher in the PS group compared to the TS group[68.8%(99/144) vs. 41.4%(29/70), χ2=14.628, P<0.001; 68.9%(42/61) vs. 18.5%(5/27), χ2=19.055, P<0.001; 41.0%(25/61) vs. 7.4%(2/27), χ2=9.921, P=0.002]. The proportions of thoracic spine involvement,severe vertebral collapse,severe narrowing of the involved intervertebral space,sequestrum,and paravertebral soft tissue calcification were all higher in the TS group compared to the PS group[52.9%(37/70) vs. 18.1%(26/144), χ2=27.463, P<0.001; 55.6%(15/27) vs. 13.1%(8/61), χ2=17.462, P<0.001; 74.1%(20/27) vs. 37.7%(23/61), χ2=9.907, P=0.002; 74.1%(20/27) vs. 18.0%(11/61), χ2=25.761, P<0.001; 51.9%(14/27) vs. 6.6%(4/61), χ2=23.599, P<0.001]. Multivariate logistic regression analysis indicated that a symptom duration<5.5 months( OR=30.644,95% CI: 2.022-464.529, P<0.05) and a leukocyte count>7.35×10 9/L( OR=48.653,95% CI: 2.045-1 157.721, P<0.05) indicated a higher likelihood of PS; while the vertebral collapse indicated a higher likelihood of TS( OR=0.025,95% CI: 0.001-0.638, P<0.05). The most common pathogen in the PS group was Staphylococcus aureus(31 cases,50.8%),followed by Streptococcus species(10 cases,16.4%). The positive rates of mNGS testing in the PS and TS groups were 84.1%(37/44) and 12/13,respectively,which were higher than those of conventional bacterial culture[77.8%(42/54)] and Mycobacteriumtuberculosis culture(2/11). Conclusions:Compared with the TS patients,the PS patients have shorter onset time,higher aCCI scores,higher blood leukocyte counts and SF levels,less vertebral collapse and intervertebral space narrowing,and more bone bridge formation. The TS patients have more dead bones and calcifications. The mNGS has a higher diagnostic efficacy than bacterial cultures for PS and TS.

AIM:To identify the expression characteristics of transfer RNA-derived small RNAs(tsRNAs)re-sponding to DNA damage in human hepatoblastoma HepG2 cells,and to investigate their potential functions.METHODS:Based on paired HepG2 cells and TP53 gene knockout HepG2 cells,we successfully constructed a DNA damage cellular model using adriamycin(ADR).Transcriptome analysis of small noncoding RNAs was performed to systematically identi-fy a set of tsRNAs responding to ADR and involved in p53 regulation.Functional enrichment analysis was conducted using the Kyoto Encyclopedia of Genes and Genomes(KEGG).Additionally,after silencing the expression of target tsRNA genes,the biological functions of these tsRNAs in HepG2 cells were initially confirmed through CCK-8 assay and plate colo-ny formation assay.RESULTS:DNA damage induced a set of tsRNAs involved in p53 regulation,among which tRF-5-1(tRF-5_tRNA-Gly-TCC-2-1)and tRF-i-1(tRF i_tRNA-Tyr-GTA-11-1)showed the most significant up-regulation in HepG2 cells(P<0.05).Silencing of either tRF-5-1 or tRF-i-1 gene inhibited the proliferative activity of HepG2 cells(P<0.05).CONCLUSION:A group of tsRNAs responding to DNA damage can be identified in HepG2 cell model,and tsRNAs can promote the proliferative activity of HepG2 cells,suggesting that tsRNAs may play an important role in the de-velopment and progression of liver malignancies.

Advancements in artificial intelligence (AI) and emerging technologies are rapidly expanding the exploration of chemical space, facilitating innovative drug discovery. However, the transformation of novel compounds into safe and effective drugs remains a lengthy, high-risk, and costly process. Comprehensive early-stage evaluation is essential for reducing costs and improving the success rate of drug development. Despite this need, no comprehensive tool currently supports systematic evaluation and efficient screening. Here, we present druglikeFilter, a deep learning-based framework designed to assess drug-likeness across four critical dimensions: 1) physicochemical rule evaluated by systematic determination, 2) toxicity alert investigated from multiple perspectives, 3) binding affinity measured by dual-path analysis, and 4) compound synthesizability assessed by retro-route prediction. By enabling automated, multidimensional filtering of compound libraries, druglikeFilter not only streamlines the drug development process but also plays a crucial role in advancing research efforts towards viable drug candidates, which can be freely accessed at https://idrblab.org/drugfilter/.

Objective:To elucidate the effects of different morphologies and sizes of micro/nanomaterial on luminescence properties.Methods:Lu2O3:Eu3+micro-/nanocrystals with different morphologies were synthesized hydrothermally,and the effects of precursor concentration,reaction time,pH,and alkali source on morphology and photoluminescence were investigated.Products were calcined and then characterized for morphology and photoluminescence.Spectra were collected with 250 nm excitation,focusing on the O2-→Eu3+charge-transfer band(CTB)and Eu3+f-f transitions.Results:The use of NaOH,aqueous ammonia,or triethylamine yielded monodisperse square nanosheets after calcination,while the use of urea produced monodisperse and uniform nanospheres.Fluorescence measurements showed a strong CTB near 250 nm.Under 250 nm excitation,the emission comprised multiple peaks,with the the strongest being the 5D?→7F2 hypersensitive transition at 614 nm.Conclusions:In the hydrothermal system,alkali source and reaction parameters provide significant control over the morphology and size of Lu2O3:Eu3+micro-/nanocrystals.The morphology-dependent emission is dominated by red light at 614 nm(5D?→7F).

To realize speed regulation and safe distance maintenance of mobile robots based on obstacle detection in dynamic healthcare scenarios,a novel real-time obstacle segmentation and safe operation framework for healthcare robots is proposed.A tightly-coupled approach utilizing wheel encoders and monocular RGB images to calculate the robot's linear velocity is adopted.Concurrently,a healthcare scenario end-to-end obstacle segmentation network(HS-EOSN)model is established for precise obstacle segmentation,supplemented by a noise filtering method to accurately estimate obstacle distance.Finally,an adaptive control strategy is designed to dynamically regulate the robot's speed,thereby ensuring safety.The algorithm is tested on a developed mobile robot platform.Experimental results show that the proposed method achieves a velocity estimation error below 10%.For obstacle segmentation task,the mean average precision and mean intersection over union reach 96.87%and 94.35%,respectively;and the mean depth error is within 0.24 m.