ObjectiveTo evaluate the effect of Ningying Formula （宁瘿方） combined with low-dose antithyroid drugs （ATDs） on the relapse risk for patients with Graves' hyperthyroidism （GH） during the remission phase， and to analyze the related factors between GH relapse and thyrotropin receptor antibody （TRAb） negativity， so as to provide evidence for the standardized management of GH in remission stage. MethodsA single-center retrospective cohort study was conducted， including 269 GH patients in the remission stage. After propensity score matching （PSM）， 102 matched pairs （204 patients） were established. The control group received low-dose ATDs as maintenance therapy， while the exposure group received the core Ningying Formula in addition to low-dose ATDs. The primary outcome was the GH recurrence rate； the secondary outcome was the thyrotropin receptor antibody （TRAb） negativity rate （TRAb＜1.75 IU/L）. Safety outcomes included treatment-related adverse events. Differences between groups were assessed using Cox regression models and Kaplan-Meier curves， with sensitivity analysis performed using inverse probability of treatment weighting （IPTW）. ResultsThe median follow-up in the matched cohort was 28.07 months. Regarding the GH recurrence outcome， the recurrence rate in the exposure group （18/102， 17.6%） was significantly lower than that in the control group （31/102， 30.4%； χ²=4.539， P=0.033）； regarding the TRAb negativity outcome， the TRAb negativity rate in the exposure group （50/102， 49.0%） was significantly higher than that in the control group （23/102， 22.5%； χ²=15.551， P＜0.001）. Multivariate Cox regression analysis for recurrence showed that Ningying Formula treatment reduced the risk of recurrence ［HR=0.324， 95%CI（0.170， 0.617）， P＜0.001］. Male ［HR=2.209， 95%CI（1.079， 4.520）， P=0.030］， higher initial TRAb level ［per 1 IU/L increase： HR=1.033， 95%CI（1.003， 1.064）， P=0.032］， and larger thyroid volume ［per 1 ml increase： HR=1.045， 95%CI（1.003， 1.088）， P=0.035］ were identified as independent risk factors for recurrence； multivariate Cox regression analysis for TRAb negativity indicated that Ningying Formula treatment promoted TRAb negativity ［HR=1.826， 95%CI（1.091， 3.056）， P=0.022］， while a higher initial TRAb level was associated with a lower probability of negativity ［HR=0.974， 95%CI（0.950， 0.998）， P=0.032］. Survival analysis showed significant differences in relapse rate between groups （Log-Rank P=0.003） and in TRAb outcomes （Log-Rank P=0.034）. The incidence of treatment-related adverse events was similar between groups （P=0.757）. The IPTW sensitivity analysis was consistent with the primary analysis， indicating robust results. ConclusionThe Ningying Formula combined with low-dose ATDs can significantly reduce the risk of recurrence and can improve the TRAb negativity rate in GH patients during the remission stage， without increasing common adverse events， making it an optional strategy for reducing relapse risk during remission. Male gender， higher baseline TRAb level， and larger thyroid volume indicate a higher risk of recurrence， warranting focused follow-up and stratified management.

Objective To explore a method for rapid and differential diagnosis of rejection after kidney transplantation through urine hyperspectral imaging technology. Methods Hyperspectral data information from urine samples of 118 recipients after kidney transplantation was collected, and a deep learning model was constructed to diagnose and classify the types of rejection. Results A deep learning diagnostic model based on the 34-layer residual network (ResNet-34) was constructed, and 118 patients were included and divided into the training set and the test set. Based on the pathological results of the transplanted kidney puncture, the urine samples of the patients were classified into five groups: the non-rejection group, the T-cell-mediated rejection group, the antibody-mediated rejection group, the mixed rejection group and the nephropathy recurrence group. The results showed that the diagnostic sensitivities of the model for the above five groups were 0.960, 0.980, 0.930, 0.940 and 0.943 respectively, and the diagnostic specificities were 0.983, 0.993, 0.997, 0.989 and 0.989 respectively. The overall diagnostic accuracy rate reached 95.7%. Conclusions The study provides a non-invasive, rapid and accurate auxiliary diagnostic method for the differential diagnosis of rejection after kidney transplantation.

OBJECTIVE To investigate the effects and mechanisms of Lycium ruthenicum Murr. in improving sleep. METHODS Network pharmacology was employed to identify the active components of L. ruthenicum and their associated disease targets， followed by enrichment analysis. A caffeine‑induced zebrafish model of sleep deprivation was established ， and the zebrafish were treated with L. ruthenicum Murr. extract （LRME） at concentrations of 0.1， 0.2 and 0.4 mg/mL， respectively； 24 h later， behavioral changes of zebrafish and pathological alterations in brain neurons were subsequently observed. The levels of inflammatory factors [interleukin-6 （IL-6）， IL-1β， IL-10， tumor necrosis factor-α （TNF-α）]， oxidative stress markers [superoxide dismutase （SOD）， malondialdehyde （MDA）， glutathione peroxidase （GSH-Px）， catalase （CAT）]， and neurotransmitters [5- hydroxytryptamine （5-HT）， γ-aminobutyric acid （GABA）， glutamic acid （Glu）， dopamine （DA）， and norepinephrine （NE）] were measured. The protein expression levels of protein kinase B1 （AKT1）， phosphorylated AKT1 （p-AKT1）， epidermal growth factor receptor （EGFR）， B-cell lymphoma 2 （Bcl-2）， sarcoma proto-oncogene，non-receptor tyrosine kinase （SRC）， and heat shock protein 90α family class A member 1 （HSP90AA1） in the zebrafish were also determined. RESULTS A total of 12 active components and 176 intersecting disease targets were identified through network pharmacology analysis. Among these， apigenin， naringenin and others were recognized as core active compounds， while AKT1， EGFR and others served as key targets； EGFR tyrosine kinase inhibitor resistance signaling pathway was identified as the critical pathway. The sleep improvement rates in zebrafish of LRME low-， medium-， and high-dose groups were 54.60%， 69.03% and 77.97%， 开发。E-mail：hjp_yft@163.com respectively， while the inhibition ratios of locomotor distance were 0.57， 0.83 and 0.95， respectively. Compared with the model group， the number of resting counts， resting time and resting distance were significantly increased/extended in LRME medium- and high-dose groups （P＜0.05）. Neuronal damage in the brain was alleviated. Additionally， the levels of IL-6， IL-1β， TNF-α， MDA， Glu， DA and NE， as well as the protein expression levels of AKT1， p-AKT1， EGFR， SRC and HSP90AA1， were markedly reduced （P＜0.05）， while the levels of IL-10， SOD， GSH-Px， CAT， 5-HT and GABA， as well as Bcl-2 protein expression， were significantly elevated （P＜0.05）. CONCLUSIONS L. ruthenicum Murr. demonstrates sleep-improving effects， and its specific mechanism may be related to the regulation of inflammatory responses， oxidative stress， neurotransmitter balance， and the EGFR tyrosine kinase inhibitor resistance signaling pathway.

AIM:To observe the changes of Th17 related cytokines in tears of conjunctivochalasis(CCH)patients with liver-kidney yin deficiency treated with traditional Chinese medicine Qi Jing Mingmu decoction combined with artificial tears.METHODS:A total of 56 CCH patients(56 eyes)with liver-kidney yin deficiency of grade Ⅱ to Ⅲ were collected and randomly divided into treatment group(treated with Qi Jing Mingmu decoction combined with artificial tears)of 26 cases(26 eyes)and control group(treated with pure artificial tears)of 30 cases(30 eyes). The treatment course was 1 mo, and international ocular surface disease index(OSDI), tear film break-up time(BUT), tear meniscus height(TMH)and conjunctival congestion index of the patients were observed before and after treatment. The patients' tears were collected before and after treatment, and Th17 related cytokines in tears were detected using flow cytometry immunofluorescence luminescence method.RESULTS:After treatment, the OSDI, BUT and conjunctival congestion index of CCH patients in the treatment group and control group were significantly improved(all P<0.01). After treatment, the TMH of CCH patients in the treatment group was significantly reduced(P<0.01), while there was no statistically significant difference in TMH of the control group before and after treatment(P=0.41). After treatment, the levels of Th17 related cytokines IL-17A, IL-22, IFN-γ, IL-17F, and IL-1β in tears of CCH patients in the treatment group were significantly reduced after treatment(all P<0.01), and the changes in the treatment group were more significant(all P<0.05). There was no significant difference in the control group before and after treatment(all P>0.05). After treatment, the levels of IL-6 and TNF-α in the tears of both groups of CCH patients decreased compared to those before treatment(both P<0.05), but the changes in the treatment group were more significant(both P<0.01).CONCLUSION:Qi Jing Mingmu decoction combined with artificial tears can effectively improve the ocular surface microenvironment, enhance tear film stability, and inhibit ocular surface inflammation in CCH patients with liver-kidney yin deficiency. This may be related to its reduction in the secretion of Th17 related cytokines in tears.

ObjectiveTo establish a model that can quickly identify the aroma components in different parts of Nardostachys jatamansi， so as to provide a quality control basis for the market circulation and clinical use of N. jatamansi. MethodsHeadspace solid-phase microextraction-gas chromatography-mass spectrometry（HS-SPME-GC-MS） combined with Smart aroma database and National Institute of Standards and Technology（NIST） database were used to characterize the aroma components in different parts of N. jatamansi， and the aroma components were quantified according to relative response factor（RRF） and three internal standards， and the markers of aroma differences in different parts of N. jatamansi were identified by orthogonal partial least squares-discriminant analysis（OPLS-DA） and cluster thermal analysis based on variable importance in the projection（VIP） value >1 and P<0.01. The odor data of different parts of N. jatamansi were collected by Heracles Ⅱ Neo ultra-fast gas phase electronic nose， and the correlation between compound types of aroma components collected by the ultra-fast gas phase electronic nose and the detection results of HS-SPME-GC-MS was investigated by drawing odor fingerprints and odor response radargrams. Chromatographic peak information with distinguishing ability≥0.700 and peak area≥200 was selected as sensor data， and the rapid identification model of different parts of N. jatamansi was established by principal component analysis（PCA）， discriminant factor alysis（DFA）， soft independent modeling of class analogies（SIMCA） and statistical quality control analysis（SQCA）. ResultsThe HS-SPME-GC-MS results showed that there were 28 common components in the underground and aboveground parts of N. jatamansi， of which 22 could be quantified and 12 significantly different components were screened out. Among these 12 components， the contents of five components（ethyl isovalerate， 2-pentylfuran， benzyl alcohol， nonanal and glacial acetic acid，） in the aboveground part of N. jatamansi were significantly higher than those in the underground part（P<0.01）， the contents of β-ionone， patchouli alcohol， α-caryophyllene， linalyl butyrate， valencene， 1，8-cineole and p-cymene in the underground part of N. jatamansi were significantly higher than those in the aboveground part（P<0.01）. Heracles Ⅱ Neo electronic nose results showed that the PCA discrimination index of the underground and aboveground parts of N. jatamansi was 82， and the contribution rates of the principal component factors were 99.94% and 99.89% when 2 and 3 principal components were extracted， respectively. The contribution rate of the discriminant factor 1 of the DFA model constructed on the basis of PCA was 100%， the validation score of the SIMCA model for discrimination of the two parts was 99， and SQCA could clearly distinguish different parts of N. jatamansi. ConclusionHS-SPME-GC-MS can clarify the differential markers of underground and aboveground parts of N. jatamansi. The four analytical models provided by Heracles Ⅱ Neo electronic nose（PCA， DFA， SIMCA and SQCA） can realize the rapid identification of different parts of N. jatamansi. Combining the two results， it is speculated that terpenes and carboxylic acids may be the main factors contributing to the difference in aroma between the underground and aboveground parts of N. jatamansi.

ObjectiveTo explore the effects of compatibility of Ephedrae Herba，Asari Radix et Rhizoma， and Aconiti Lateralis Radix Praeparata on the expression of type 2 innate lymphoid cells（ILC2s）-related factors in the lung of allergic rhinitis（AR）mice. MethodsAccording to the random number table method，fifty-four C57BL/6J mice were randomly divided into the following groups： Blank group，model group，Mahuang Fuzi Xixintang group，Asari Radix et Rhizoma and Aconiti Lateralis Radix Praeparata group，Ephedrae Herba and Asari Radix et Rhizoma group，Ephedrae Herba and Aconiti Lateralis Radix Praeparata group，Ephedrae Herba group，Aconiti Lateralis Radix Praeparata group， and Asari Radix et Rhizoma group （6 mice in each group）. Except the blank group，the other groups were subjected to intraperitoneal injection of ovalbumin（OVA）and intranasal challenge to induce AR. After the AR model was established，the mice in the blank group and the model group were given 0.2 mL·d^-1 normal saline by gavage，while those in the Mahuang Fuzi Xixintang group（2.31 g·kg^-1），Asari Radix et Rhizoma and Aconiti Lateralis Radix Praeparata group（1.54 g·kg^-1）， Ephedrae Herba and Asari Radix et Rhizoma group（1.16 g·kg^-1）， Ephedrae Herba and Aconiti Lateralis Radix Praeparata group（1.93 g·kg^-1），Ephedrae Herba group（0.77 g·kg^-1），Aconiti Lateralis Radix Praeparata group（1.16 g·kg^-1），and Asari Radix et Rhizoma group（0.39 g·kg^-1）were given corresponding medicine by gavage，with the treatment lasting for 14 consecutive days. The survival state of mice in each group was observed， and the levels of serum immunoglobulins E（IgE）after intranasal challenge were measured by enzyme-linked immunosorbent assay（ELISA）. The pathological changes of nasal and lung tissues were observed by hematoxylin-eosin（HE）staining. The expression of ILC2s in lung tissue of mice was detected by immunofluorescence（IF）. The mRNA expression of GATA binding protein 3（GATA3），retinoic acid receptor-related orphan receptor-α（RORα）， and inhibitor of DNA binding 2（ID2）in the lung tissue of mice was detected by quantitative real-time polymerase chain reaction（real-time PCR）. The levels of IgE，interleukin（IL）-4，IL-5， and IL-13 in serum were detected by ELISA. ResultsCompared with the blank group，the model group had poor survival state of mice and significantly increased serum IgE level after intranasal challenge（p<0.01）. Additionally，the mice in the model group showed a large amount of neutrophil infiltration in the mucosa of the posterior turbinate， obvious nasal mucosal bleeding and purulent secretion，shed epithelium， thickened bronchial wall，obvious intravascular hyperemia and edema，diffusion and infiltration of a large number of inflammatory cells，seriously damaged alveolar structure，and local lung consolidation. The model group also exhibited significantly increased expression of ILC2s in the lung tissue（P<0.01），increased mRNA expression of GATA3 and RORα，decreased mRNA expression of ID2（P<0.05，P<0.01），and increased levels of serum IgE， IL-4，IL-5，and IL-13（P<0.05，P<0.01）. Compared with the model group，the Mahuang Fuzi Xixintang group and the other medicine treatment groups showed improved survival state of mice， significantly reduced inflammatory cell infiltration in the nasal and lung tissues，a small amount of nasal mucosal bleeding，trachea wall thinning，and no hyperemia，edema， and nasal secretions. Furthermore， the expression of ILC2s in lung tissue was significantly decreased（P<0.01）. The mRNA expression level of GATA3 was decreased（P<0.05），especially in the Aconiti Lateralis Radix Praeparata group（P<0.01）. The expression mRNA levels of RORα were decreased only in the Ephedrae Herba and Aconiti Lateralis Radix Praeparata group and the Ephedrae Herba group（P<0.05）. The levels of serum IgE were decreased（P<0.05）， and IL-5 levels were significantly decreased（P<0.01）. IL-4 levels were significantly decreased in the groups except the Aconiti Lateralis Radix Praeparata group（P<0.01），and the level of IL-13 in the Mahuang Fuzi Xixintang group was decreased（P<0.05）. The levels of IL-13 in were significantly decreased in the Ephedrae Herba and Aconiti Lateralis Radix Praeparata group， Ephedrae Herba group， Aconiti Lateralis Radix Praeparata group， and Asari Radix et Rhizoma group（P<0.01）. ConclusionDifferent compatibility of Ephedrae Herba，Asari Radix et Rhizoma， and Aconiti Lateralis Radix Praeparata can reduce the inflammation of OVA-induced AR mice and has more advantages in reducing the secretion of IgE and IL-5. The compatibility of Ephedrae Herba and Aconiti Lateralis Radix Praeparata has the most advantage in reducing the mRNA expression of GATA3 and RORα to inhibit the expression of ILC2s and thus exert the anti-allergic effect，while the other compatibility has the extensive advantage in inhibiting the mRNA expression of GATA3.

ObjectiveTo explore the effects of compatibility of Ephedrae Herba，Asari Radix et Rhizoma， and Aconiti Lateralis Radix Praeparata on the expression of type 2 innate lymphoid cells（ILC2s）-related factors in the lung of allergic rhinitis（AR）mice. MethodsAccording to the random number table method，fifty-four C57BL/6J mice were randomly divided into the following groups： Blank group，model group，Mahuang Fuzi Xixintang group，Asari Radix et Rhizoma and Aconiti Lateralis Radix Praeparata group，Ephedrae Herba and Asari Radix et Rhizoma group，Ephedrae Herba and Aconiti Lateralis Radix Praeparata group，Ephedrae Herba group，Aconiti Lateralis Radix Praeparata group， and Asari Radix et Rhizoma group （6 mice in each group）. Except the blank group，the other groups were subjected to intraperitoneal injection of ovalbumin（OVA）and intranasal challenge to induce AR. After the AR model was established，the mice in the blank group and the model group were given 0.2 mL·d^-1 normal saline by gavage，while those in the Mahuang Fuzi Xixintang group（2.31 g·kg^-1），Asari Radix et Rhizoma and Aconiti Lateralis Radix Praeparata group（1.54 g·kg^-1）， Ephedrae Herba and Asari Radix et Rhizoma group（1.16 g·kg^-1）， Ephedrae Herba and Aconiti Lateralis Radix Praeparata group（1.93 g·kg^-1），Ephedrae Herba group（0.77 g·kg^-1），Aconiti Lateralis Radix Praeparata group（1.16 g·kg^-1），and Asari Radix et Rhizoma group（0.39 g·kg^-1）were given corresponding medicine by gavage，with the treatment lasting for 14 consecutive days. The survival state of mice in each group was observed， and the levels of serum immunoglobulins E（IgE）after intranasal challenge were measured by enzyme-linked immunosorbent assay（ELISA）. The pathological changes of nasal and lung tissues were observed by hematoxylin-eosin（HE）staining. The expression of ILC2s in lung tissue of mice was detected by immunofluorescence（IF）. The mRNA expression of GATA binding protein 3（GATA3），retinoic acid receptor-related orphan receptor-α（RORα）， and inhibitor of DNA binding 2（ID2）in the lung tissue of mice was detected by quantitative real-time polymerase chain reaction（real-time PCR）. The levels of IgE，interleukin（IL）-4，IL-5， and IL-13 in serum were detected by ELISA. ResultsCompared with the blank group，the model group had poor survival state of mice and significantly increased serum IgE level after intranasal challenge（p<0.01）. Additionally，the mice in the model group showed a large amount of neutrophil infiltration in the mucosa of the posterior turbinate， obvious nasal mucosal bleeding and purulent secretion，shed epithelium， thickened bronchial wall，obvious intravascular hyperemia and edema，diffusion and infiltration of a large number of inflammatory cells，seriously damaged alveolar structure，and local lung consolidation. The model group also exhibited significantly increased expression of ILC2s in the lung tissue（P<0.01），increased mRNA expression of GATA3 and RORα，decreased mRNA expression of ID2（P<0.05，P<0.01），and increased levels of serum IgE， IL-4，IL-5，and IL-13（P<0.05，P<0.01）. Compared with the model group，the Mahuang Fuzi Xixintang group and the other medicine treatment groups showed improved survival state of mice， significantly reduced inflammatory cell infiltration in the nasal and lung tissues，a small amount of nasal mucosal bleeding，trachea wall thinning，and no hyperemia，edema， and nasal secretions. Furthermore， the expression of ILC2s in lung tissue was significantly decreased（P<0.01）. The mRNA expression level of GATA3 was decreased（P<0.05），especially in the Aconiti Lateralis Radix Praeparata group（P<0.01）. The expression mRNA levels of RORα were decreased only in the Ephedrae Herba and Aconiti Lateralis Radix Praeparata group and the Ephedrae Herba group（P<0.05）. The levels of serum IgE were decreased（P<0.05）， and IL-5 levels were significantly decreased（P<0.01）. IL-4 levels were significantly decreased in the groups except the Aconiti Lateralis Radix Praeparata group（P<0.01），and the level of IL-13 in the Mahuang Fuzi Xixintang group was decreased（P<0.05）. The levels of IL-13 in were significantly decreased in the Ephedrae Herba and Aconiti Lateralis Radix Praeparata group， Ephedrae Herba group， Aconiti Lateralis Radix Praeparata group， and Asari Radix et Rhizoma group（P<0.01）. ConclusionDifferent compatibility of Ephedrae Herba，Asari Radix et Rhizoma， and Aconiti Lateralis Radix Praeparata can reduce the inflammation of OVA-induced AR mice and has more advantages in reducing the secretion of IgE and IL-5. The compatibility of Ephedrae Herba and Aconiti Lateralis Radix Praeparata has the most advantage in reducing the mRNA expression of GATA3 and RORα to inhibit the expression of ILC2s and thus exert the anti-allergic effect，while the other compatibility has the extensive advantage in inhibiting the mRNA expression of GATA3.

ObjectiveThe rapid advancement of bioanalytical technologies has heightened the demand for high-throughput, label-free, and real-time cellular analysis. Electrochemical impedance spectroscopy (EIS) operating in the GHz frequency range (GHz-EIS) has emerged as a promising tool for characterizing cell suspensions due to its ability to rapidly and non-invasively capture the dielectric properties of cells and their microenvironment. Although GHz-EIS enables rapid and label-free detection of cell suspensions, significant challenges remain in interpreting GHz impedance data for complex samples, limiting the broader application of this technique in cellular research. To address these challenges, this study presents a novel method that integrates GHz-EIS with deep learning algorithms, aiming to improve the precision of cell suspension concentration identification and quantification. This method provides a more efficient and accurate solution for the analysis of GHz impedance data. MethodsThe proposed method comprises two key components: dielectric property dataset construction and backpropagation (BP) neural network modeling. Yeast cell suspensions at varying concentrations were prepared and separately introduced into a coaxial sensor for impedance measurement. The dielectric properties of these suspensions were extracted using a GHz-EIS dielectric property extraction method applied to the measured impedance data. A dielectric properties dataset incorporating concentration labels was subsequently established and divided into training and testing subsets. A BP neural network model employing specific activation functions (ReLU and Leaky ReLU) was then designed. The model was trained and tested using the constructed dataset, and optimal model parameters were obtained through this process. This BP neural network enables automated extraction and analytical processing of dielectric properties, facilitating precise recognition of cell suspension concentrations through data-driven training. ResultsThrough comparative analysis with conventional centrifugal methods, the recognized concentration values of cell suspensions showed high consistency, with relative errors consistently below 5%. Notably, high-concentration samples exhibited even smaller deviations, further validating the precision and reliability of the proposed methodology. To benchmark the recognition performance against different algorithms, two typical approaches—support vector machines (SVM) and K-nearest neighbor (KNN)—were selected for comparison. The proposed method demonstrated superior performance in quantifying cell concentrations. Specifically, the BP neural network achieved a mean absolute percentage error (MAPE) of 2.06% and an R² value of 0.997 across the entire concentration range, demonstrating both high predictive accuracy and excellent model fit. ConclusionThis study demonstrates that the proposed method enables accurate and rapid determination of unknown sample concentrations. By combining GHz-EIS with BP neural network algorithms, efficient identification of cell concentrations is achieved, laying the foundation for the development of a convenient online cell analysis platform and showing significant application prospects. Compared to typical recognition approaches, the proposed method exhibits superior capabilities in recognizing cell suspension concentrations. Furthermore, this methodology not only accelerates research in cell biology and precision medicine but also paves the way for future EIS biosensors capable of intelligent, adaptive analysis in dynamic biological research.

Financial incentives， as an intervention in behavioral therapy， have been proven to be beneficial in many health behaviors， such as drug addiction treatment， long-term antiviral therapy， and the prevention and treatment of chronic diseases. At present， typical financial incentive schemes mainly include commitment contracts and lottery-based models. Key factors in the design of such interventions include the adaptability of behavioral economic principles and medication behavior， the effectiveness and cost-effectiveness of design scheme， and the acceptability of intervention population. Although financial incentives have accumulated rich experience in health behavior interventions abroad， research on medication adherence remains limited， with existing intervention scheme design and mechanism constraints， and their effectiveness potentially varying across different cultural and social environments. China should explore practical models of financial incentives to enhance medication adherence, considering patients’ medication patterns and socio-cultural factors.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.