Objective:To construct a nomogram based on preoperative MRI imaging features for the prediction of muscle-invasive upper urinary tract urothelial carcinoma（UTUC）and evaluate its performance.Methods:This retrospective cohort study analyzed the clinical data of 99 UTUC patients treated at the First Affiliated Hospital of Nanjing Medical University from April 2018 to May 2024. Among them，69（69.7%）were male and 30（30.3%）were female，with a median age of 67.0 years. All patients underwent preoperative MRI and radical nephroureterectomy. According to postoperative pathology，tumors staged ≥ T 2 were assigned to the muscle-invasive group，and those staged ≤ T 1 were assigned to the non-muscle-invasive group. Baseline data，pathological information，and imaging characteristics were collected and compared between the two groups. Logistic regression analysis was performed to identify risk factors for muscle-invasive UTUC，and a nomogram was constructed. The diagnostic performance of the model was assessed using receiver operating characteristic（ROC）curves，calibration curves，and decision curve analysis（DCA）. Results:Among the 99 patients，70（70.7%）were diagnosed with muscle-invasive UTUC，and 29（29.3%）with non-muscle-invasive UTUC. The muscle-invasive group had significantly larger tumor size［4.5（2.8，7.0）cm vs. 3.0（2.3，4.5）cm， P = 0.029］，a higher incidence of multifocal tumors［37.1%（26/70）vs. 3.5%（1/29）， P < 0.001］，patchy tumors［30.0%（21/70）vs. 6.9%（2/29）， P = 0.019］，spiculated tumor margins［52.9%（37/70）vs. 17.2%（5/29）， P = 0.001］，tumor compression on renal parenchyma or periureteral/peripelvic fat［68.6%（48/70）vs. 10.3%（3/29）， P < 0.001］，high-grade pathology［92.9%（65/70）vs. 75.9%（22/29）， P = 0.043］，lymph node metastasis［28.6%（20/70）vs. 0， P = 0.001］，and lymphovascular invasion［42.9%（30/70）vs. 10.3%（3/29）， P=0.002］. The apparent diffusion coefficient（ADC）values［0.9（0.8，1.1）× 10 -3 mm2/s vs. 1.1（1.0，1.4）× 10 -3 mm2/s， P < 0.001］and normalized ADC（NADC）values［0.8（0.7，1.0）vs. 0.9（0.8，1.1）， P = 0.002］were significantly lower in the muscle-invasive group. Univariate logistic regression identified multifocality，patchy tumor patterns，spiculated tumor margins，tumor compression on renal parenchyma or periureteral/peripelvic fat，and low NADC values as risk factors for muscle-invasive UTUC（all P < 0.05）. Multivariate analysis revealed multifocality（ OR = 17.903，95% CI 1.650 - 194.253， P = 0.018），tumor compression on renal parenchyma or perirenal / ureteral fat（ OR = 14.690，95% CI 3.069 - 70.323， P < 0.001），and low NADC value（ OR = 0.016，95% CI 0.001 - 0.471， P = 0.017）as independent risk factors. A nomogram was constructed based on these factors. The area under the ROC curve（AUC）of the model was 0.898（95% CI 0.838 - 0.957），with an optimal cutoff value of 0.639. The model showed an accuracy of 83.8%，sensitivity of 81.4%，and specificity of 89.7%. Calibration curves indicated good calibration，and DCA showed that the model provided substantial clinical net benefit. Conclusions:This study constructed a nomogram based on preoperative MRI features，including tumor multifocality，compression on renal parenchyma or periureteral/peripelvic fat and NADC value，which demonstrates good predictive performances for muscle-invasive UTUC.

With the rapid advancement of artificial intelligence(AI)in healthcare,clinical decision support system(CDSS)is gradually integrated into clinical workflows.While CDSS enhances diagnostic and therapeutic efficiency and accuracy,it has also sparked complex debates regarding accountability.This article systematically examines the current global landscape of accountability challenges associated with CDSS.It delves into the mechanisms underlying these challenges,focusing on 5 key dimensions:ambiguity in liability attribution,the"black-box"nature of algorithms,data bias,backward legal and regulatory systems,and heterogeneity in deployment environments.To address these issues,a collaborative governance framework centered on whole-lifecycle governance is proposed.Specifically,the framework advocates:enhancing AI trustworthiness through technical pathways;constructing innovative mechanisms such as risk-based tiered regulation and no-fault compensation funds through legal and regulatory pathways;strengthening institutional internal controls through organizational pathways;and reshaping a new professional paradigm of"human-AI collaboration"through ethical and educational pathways.The study argues that resolving CDSS accountability dilemmas is not only critical for fostering trustworthy AI in medicine but also essential for safeguarding patient safety,ensuring healthcare equity,and providing clinicians with clear liability boundaries and robust professional protections amid technological transformation.

The epidermal growth factor receptor (EGFR) exon 20 insertion (ex20ins) mutation is a rare subtype of mutations in non-small cell lung cancer (NSCLC). Patients with advanced NSCLC carrying the EGFR ex20ins mutation tend to have poor responses to traditional EGFR tyrosine kinase inhibitors (TKIs), chemotherapy, and immunotherapy, leading to a poor clinical prognosis. Significant progress has been made in the development of new drugs targeting the EGFR ex20ins mutation. The research on new drugs targeting EGFR ex20ins mutations has made significant progress. The main ones include new EGFR-TKIs (such as sunvozertinib, mobocertinib, and furmetinib, etc.), bispecific antibodies (such as amivantamab, JMT101, and GB263T, etc.), and emerging drugs such as AUY922. These agents have demonstrated promising efficacy in clinical trials, improving the objective response rate and progression-free survival of patients, and are expected to improve overall survival. An in-depth analysis of the mechanism of action and clinical trial progress of these novel targeted drugs for EGFR ex20ins-mutated NSCLC can offer new therapeutic strategies for patients with EGFR ex20ins-mutated NSCLC.

In recent years,a growing body of research has demonstrated that acupuncture can be used to effectively treat a diverse range of diseases,including functional gastrointestinal disorders,cardiovascular diseases,as well as anxiety and depression,through the modulation of the paraventricular hypothalamic nucleus(PVN).Acupuncture may exert its therapeutic effect either by modulating specific neurons within the PVN,such as corticotropin releasing hormone(CRH)neurons,or by regulating the release of hormones,such as oxytocin(OXT)and vasopressin(VP),and the activity of neural circuits associated with the PVN.This review summarizes the mechanisms by which PVN is involved in acupuncture treatment,including its regulatory mechanisms in gastrointestinal diseases,cardiovascular diseases,and negative emotions and pain.Future research should be conducted to further explore the precise mechanisms by which acupuncture regulates PVN to treat diseases,focusing on clarifying the specific processes of signaling pathway transduction,and exploring the specific effects of acupunture of different acupoint combinations and stimulation frequencies and intensity on PVN.

Objective:To construct a nomogram based on preoperative MRI imaging features for the prediction of muscle-invasive upper urinary tract urothelial carcinoma（UTUC）and evaluate its performance.Methods:This retrospective cohort study analyzed the clinical data of 99 UTUC patients treated at the First Affiliated Hospital of Nanjing Medical University from April 2018 to May 2024. Among them，69（69.7%）were male and 30（30.3%）were female，with a median age of 67.0 years. All patients underwent preoperative MRI and radical nephroureterectomy. According to postoperative pathology，tumors staged ≥ T 2 were assigned to the muscle-invasive group，and those staged ≤ T 1 were assigned to the non-muscle-invasive group. Baseline data，pathological information，and imaging characteristics were collected and compared between the two groups. Logistic regression analysis was performed to identify risk factors for muscle-invasive UTUC，and a nomogram was constructed. The diagnostic performance of the model was assessed using receiver operating characteristic（ROC）curves，calibration curves，and decision curve analysis（DCA）. Results:Among the 99 patients，70（70.7%）were diagnosed with muscle-invasive UTUC，and 29（29.3%）with non-muscle-invasive UTUC. The muscle-invasive group had significantly larger tumor size［4.5（2.8，7.0）cm vs. 3.0（2.3，4.5）cm， P = 0.029］，a higher incidence of multifocal tumors［37.1%（26/70）vs. 3.5%（1/29）， P < 0.001］，patchy tumors［30.0%（21/70）vs. 6.9%（2/29）， P = 0.019］，spiculated tumor margins［52.9%（37/70）vs. 17.2%（5/29）， P = 0.001］，tumor compression on renal parenchyma or periureteral/peripelvic fat［68.6%（48/70）vs. 10.3%（3/29）， P < 0.001］，high-grade pathology［92.9%（65/70）vs. 75.9%（22/29）， P = 0.043］，lymph node metastasis［28.6%（20/70）vs. 0， P = 0.001］，and lymphovascular invasion［42.9%（30/70）vs. 10.3%（3/29）， P=0.002］. The apparent diffusion coefficient（ADC）values［0.9（0.8，1.1）× 10 -3 mm2/s vs. 1.1（1.0，1.4）× 10 -3 mm2/s， P < 0.001］and normalized ADC（NADC）values［0.8（0.7，1.0）vs. 0.9（0.8，1.1）， P = 0.002］were significantly lower in the muscle-invasive group. Univariate logistic regression identified multifocality，patchy tumor patterns，spiculated tumor margins，tumor compression on renal parenchyma or periureteral/peripelvic fat，and low NADC values as risk factors for muscle-invasive UTUC（all P < 0.05）. Multivariate analysis revealed multifocality（ OR = 17.903，95% CI 1.650 - 194.253， P = 0.018），tumor compression on renal parenchyma or perirenal / ureteral fat（ OR = 14.690，95% CI 3.069 - 70.323， P < 0.001），and low NADC value（ OR = 0.016，95% CI 0.001 - 0.471， P = 0.017）as independent risk factors. A nomogram was constructed based on these factors. The area under the ROC curve（AUC）of the model was 0.898（95% CI 0.838 - 0.957），with an optimal cutoff value of 0.639. The model showed an accuracy of 83.8%，sensitivity of 81.4%，and specificity of 89.7%. Calibration curves indicated good calibration，and DCA showed that the model provided substantial clinical net benefit. Conclusions:This study constructed a nomogram based on preoperative MRI features，including tumor multifocality，compression on renal parenchyma or periureteral/peripelvic fat and NADC value，which demonstrates good predictive performances for muscle-invasive UTUC.

With the increasing maturity of laparoscopic surgery, laparoscopic radical resec-tion of colorectal cancer has been widely used in colorectal surgery. Accurate localization of colorectal tumors and surgical margins in the absence of tactile sensation during surgery, ensuring sufficient blood flow perfusion at the anastomotic site and effectively reducing the incidence of anastomotic leakage have become barriers to the development of laparoscopic radical resection of colorectal cancer. The application of indocyanine green fluorescence imaging (ICG-FI) technology is expected to provide feasible solutions to the above-mentioned problems. Through this technology, accurate localization of colorectal tumors, evaluation of blood supply to the anastomotic site, lymphatic system imaging, detection of colorectal liver metastases, and protection of pelvic autonomous nerves and ureters can be achieved during laparoscopic surgery, thereby further improving the surgical quality of laparoscopic radical resection of colorectal cancer. However, the clinical application of ICG-FI technology in colorectal surgery is relatively short, which is still in the stage of exploration and experience accumulation, and there are few guideline or consensus available for reference. Therefore, the authors aim to provide a reference for the clinical application of this technology by reviewing and summarizing relevant literature based on different application types of ICG in colo-rectal cancer surgery.

Objective:To explore the composition of oral microbiome in patients of long-term survival after liver transplantation, and compare the diversity and distribution of oral microbiome in liver transplant patients with or without liver cancer.Methods:This is a cross-sectional study. Clinical data of 20 patients of long-term survival after liver transplantation from Beijing Chaoyang Hospital Affiliated to Capital Medical University from July 2023 to October 2023 were continuously collected, including 13 males and 7 females, aged 55 (48, 60) years. There were eight patients with hepatocellular carcinoma (HCC) undergoing liver transplantation and 12 non-HCC liver transplant patients. Oral microbiome was analyzed by 16S rDNA gene sequencing, and the diversity analysis and LEfSe analysis were performed.Results:The top ten groups of bacteria in the HCC and non-HCC liver transplant patients were both Bacteroidota, Firmicutes, Proteobacteria, Actinobacteria, Fusobacteriota, Patescibacteria, Campylobacterota, Cyanobacteria, spirochaetota, and Aenigmarchaeota. The top ten genus levels of bacteria in the HCC and non-HCC liver transplant patients were both Haemophilus, Porphyromonas, Gemella, Fusobacterium, Actinomyces, Prevotella, Rothia, Streptococcus, Neisseria. By LEfSe analysis, we found the enrichment of Flavobacteriales, Flavobacteriaceae, Capnocytophaga, Mogibacterium_timidum, Capnocytophaga_leadbetteri, Campylobacter_showae in the HCC group, while the enrichment of Veillonella_atypica, Prevotella_histicola in the non-HCC group.Conclusion:The main microbiome was similar between HCC and non-HCC liver transplant patients, but there were also some differences in microbiome communities.

Endogenously eliminating the hematoma is a favorable strategy in addressing intracerebral hemorrhage (ICH). This study sought to determine the role of retinoid X receptor-α (RXR-α) in the context of hematoma absorption after ICH. Our results showed that pharmacologically activating RXR-α with bexarotene significantly accelerated hematoma clearance and alleviated neurological dysfunction after ICH. RXR-α was expressed in microglia/macrophages, neurons, and astrocytes. Mechanistically, bexarotene promoted the nuclear translocation of RXR-α and PPAR-γ, as well as reducing neuroinflammation by modulating microglia/macrophage reprograming from the M1 into the M2 phenotype. Furthermore, all the beneficial effects of RXR-α in ICH were reversed by the PPAR-γ inhibitor GW9662. In conclusion, the pharmacological activation of RXR-α confers robust neuroprotection against ICH by accelerating hematoma clearance and repolarizing microglia/macrophages towards the M2 phenotype through PPAR-γ-related mechanisms. Our data support the notion that RXR-α might be a promising therapeutic target for ICH.

Endogenously eliminating the hematoma is a favorable strategy in addressing intracerebral hemorrhage (ICH). This study sought to determine the role of retinoid X receptor-α (RXR-α) in the context of hematoma absorption after ICH. Our results showed that pharmacologically activating RXR-α with bexarotene significantly accelerated hematoma clearance and alleviated neurological dysfunction after ICH. RXR-α was expressed in microglia/macrophages, neurons, and astrocytes. Mechanistically, bexarotene promoted the nuclear translocation of RXR-α and PPAR-γ, as well as reducing neuroinflammation by modulating microglia/macrophage reprograming from the M1 into the M2 phenotype. Furthermore, all the beneficial effects of RXR-α in ICH were reversed by the PPAR-γ inhibitor GW9662. In conclusion, the pharmacological activation of RXR-α confers robust neuroprotection against ICH by accelerating hematoma clearance and repolarizing microglia/macrophages towards the M2 phenotype through PPAR-γ-related mechanisms. Our data support the notion that RXR-α might be a promising therapeutic target for ICH.
Anilides/pharmacology* ; Cerebral Hemorrhage/drug therapy* ; Hematoma/drug therapy* ; Humans ; Macrophages ; Microglia ; Neuroprotection ; PPAR gamma ; Retinoid X Receptor alpha

Objective:To observe the therapeutic efficacy and prognosis of daratumumab combined with chemotherapy bridging to allogeneic hematopoietic stem cell transplantation (allo-HSCT) followed by daratumumab and lenalidomide maintenance treatment for primary plasma cell leukemia (PCL).Methods:The clinical data of a patient with primary PCL admitted to the First People's Hospital of Yunnan Province in January 2020 were retrospectively analyzed, and relevant literatures were reviewed.Results:The patient was diagnosed with primary PCL and treated with daratumumab combined with BD (bortezomib + dexamethasone) for 1 course and BCDD (bortezomib + cyclophosphamide + liposomaldoxorubicin + dexamethasone) for two courses. The patient was treated with daratumumab combined with allo-HSCT after complete remission. The donor cells were successfully implanted and the chimerism rate of donor cells was 94.36% without acute graft-versus-host disease reaction. And then the patient received intermittent maintenance therapy of daratumumab combined with low dose lenalidomide after transplantation, and the current remission period after transplantation reached 4 months.Conclusions:Daratumumab combined with chemotherapy bridging to allo-HSCT followed by daratumumab and lenalidomide may improve the prognosis of primary PCL and prolong survival time.