ObjectiveIn traditional Chinese medicine (TCM), the foundational doctrine that the eyes reflect the essence of the internal viscera establishes ocular observation as a cornerstone of diagnostic practice. Specifically, the morphological characteristics and coloration variations of the scleral microvasculature serve as critical clinical indicators for assessing the dynamic balance of Qi and Blood, as well as the pathological status of internal organs. Historically, however, TCM eye diagnosis has relied predominantly on the subjective clinical experience and visual acuity of individual practitioners, leading to inherent challenges in standardization and reproducibility. While automated computer-aided diagnostic systems offer a promising solution, existing vessel segmentation algorithms encounter significant domain-specific bottlenecks when applied to scleral imagery. These challenges primarily stem from the highly reflective and moist nature of the ocular surface, which generates severe reflective interference. Furthermore, the inherent low contrast of fine capillary networks against complex background textures, compounded by non-uniform illumination, frequently results in high false-positive rates, misdetections, and severe vessel fragmentation. To address these critical limitations and advance the objective quantification of TCM diagnostics, this paper proposes a novel, highly robust sclera vessel segmentation framework that innovatively integrates Frangi-Sato dual-filter adaptive enhancement with pixel-level reflection detection. MethodsThe proposed methodology systematically addresses the segmentation pipeline through three synergistic stages. First, to overcome the structural limitations of single-filter approaches, a multi-scale weighted fusion strategy is meticulously designed to harness the complementary extraction capabilities of both Frangi and Sato filters. This adaptive enhancement optimally balances the preservation of main vessel trunk continuity with the heightened sensitivity required for delineating delicate, low-contrast peripheral capillaries. Second, to tackle the persistent issue of reflective highlights, a sophisticated multi-feature synergistic reflection detection module is introduced. By jointly analyzing local information entropy, gradient field variations, and intensity statistical distributions, this module achieves precise, pixel-level identification and elimination of reflective artifacts without compromising the underlying vascular structures. Finally, a dual-level adaptive thresholding strategy, featuring an innovative “core protection” mechanism, is implemented. This critical step effectively suppresses complex background noise while rigorously preserving the structural and topological integrity of the intricate vessel network, preventing the structural breaks often seen in conventional binarization methods. ResultsThe efficacy of the proposed framework was rigorously evaluated using both self-constructed clinical datasets specifically acquired for TCM research and standardized public datasets. Extensive experimental results demonstrate that the proposed method consistently outperforms state-of-the-art traditional approaches and contemporary deep learning models. Specifically, the proposed method achieves a Dice similarity coefficient of approximately 0.71 on the private clinical dataset, and secures the best performance across the majority of quantitative metrics on both datasets. Notably, the framework exhibits exceptional robustness and generalization capabilities in highly challenging scenarios characterized by intense reflective interference, low signal-to-noise ratios, and cross-domain image variations. ConclusionThis study successfully realizes the high-integrity, automated segmentation of scleral vessel networks under complex clinical imaging conditions. By overcoming the fundamental algorithmic challenges of reflection interference and micro-vessel loss, the proposed methodology provides potential support for the digitization, objective standardization, and intelligent advancement of modern TCM eye diagnosis systems.

Chronic post-surgical pain (CPSP) is a common long-term complication following lung surgery. Its high incidence significantly impacts patients’ quality of life and functional recovery, and imposes a substantial socioeconomic burden. This consensus aims to systematically establish a standardized integrated Chinese and Western medicine diagnostic and treatment framework for chronic post-lung surgery pain (CPLSP). Based on the latest domestic and international evidence-based medical research and multidisciplinary clinical experience, the working group comprehensively elaborates on core issues regarding CPLSP, including its definition, epidemiology, pathogenesis, clinical assessment, Western medical treatment, traditional Chinese medicine (TCM) treatment, and integrated strategies. The consensus emphasizes a patient-centered approach, adhering to the principles of multimodality, individualization, and stepwise management, highlighting the synergistic advantages of integrating Chinese and Western medicine throughout the entire perioperative management cycle encompassing "perioperative anti-inflammation, acute analgesia, and chronic rehabilitation." Through systematic literature retrieval and evidence integration, a total of 9 core recommendations were established to provide scientifically sound and clinically practical guidance.

ObjectiveIn traditional Chinese medicine (TCM), the foundational doctrine that the eyes reflect the essence of the internal viscera establishes ocular observation as a cornerstone of diagnostic practice. Specifically, the morphological characteristics and coloration variations of the scleral microvasculature serve as critical clinical indicators for assessing the dynamic balance of Qi and Blood, as well as the pathological status of internal organs. Historically, however, TCM eye diagnosis has relied predominantly on the subjective clinical experience and visual acuity of individual practitioners, leading to inherent challenges in standardization and reproducibility. While automated computer-aided diagnostic systems offer a promising solution, existing vessel segmentation algorithms encounter significant domain-specific bottlenecks when applied to scleral imagery. These challenges primarily stem from the highly reflective and moist nature of the ocular surface, which generates severe reflective interference. Furthermore, the inherent low contrast of fine capillary networks against complex background textures, compounded by non-uniform illumination, frequently results in high false-positive rates, misdetections, and severe vessel fragmentation. To address these critical limitations and advance the objective quantification of TCM diagnostics, this paper proposes a novel, highly robust sclera vessel segmentation framework that innovatively integrates Frangi-Sato dual-filter adaptive enhancement with pixel-level reflection detection. MethodsThe proposed methodology systematically addresses the segmentation pipeline through three synergistic stages. First, to overcome the structural limitations of single-filter approaches, a multi-scale weighted fusion strategy is meticulously designed to harness the complementary extraction capabilities of both Frangi and Sato filters. This adaptive enhancement optimally balances the preservation of main vessel trunk continuity with the heightened sensitivity required for delineating delicate, low-contrast peripheral capillaries. Second, to tackle the persistent issue of reflective highlights, a sophisticated multi-feature synergistic reflection detection module is introduced. By jointly analyzing local information entropy, gradient field variations, and intensity statistical distributions, this module achieves precise, pixel-level identification and elimination of reflective artifacts without compromising the underlying vascular structures. Finally, a dual-level adaptive thresholding strategy, featuring an innovative “core protection” mechanism, is implemented. This critical step effectively suppresses complex background noise while rigorously preserving the structural and topological integrity of the intricate vessel network, preventing the structural breaks often seen in conventional binarization methods. ResultsThe efficacy of the proposed framework was rigorously evaluated using both self-constructed clinical datasets specifically acquired for TCM research and standardized public datasets. Extensive experimental results demonstrate that the proposed method consistently outperforms state-of-the-art traditional approaches and contemporary deep learning models. Specifically, the proposed method achieves a Dice similarity coefficient of approximately 0.71 on the private clinical dataset, and secures the best performance across the majority of quantitative metrics on both datasets. Notably, the framework exhibits exceptional robustness and generalization capabilities in highly challenging scenarios characterized by intense reflective interference, low signal-to-noise ratios, and cross-domain image variations. ConclusionThis study successfully realizes the high-integrity, automated segmentation of scleral vessel networks under complex clinical imaging conditions. By overcoming the fundamental algorithmic challenges of reflection interference and micro-vessel loss, the proposed methodology provides potential support for the digitization, objective standardization, and intelligent advancement of modern TCM eye diagnosis systems.

OBJECTIVE To formulate the Expert Consensus on the Management of Radiopharmaceuticals in Medical Institutions （hereinafter referred to as “the Consensus”）， focusing on key aspects such as the procurement of radiopharmaceuticals， the management of self-made radiopharmaceutical preparations， standardized clinical application， and patient medication safety management， so as to provide a reference for improving the whole-process management of radiopharmaceuticals in medical institutions.METHODS The Consensus was initiated by the Chinese Society of Nuclear Medicine， the Clinical Pharmacy Professional Committee of the China Anti-Cancer Association， and the Committee of Integrative Oncology Pharmacy of the China Anti-Cancer Association. Organized by the consensus drafting group more than 90 experts from the fields of nuclear medicine， nuclear pharmacy， and pharmacy science across China were involved. The Consensus was developed through systematic review of relevant laws， regulations， policy documents， and existing experience in radiopharmaceutical management， followed by extensive discussion and deliberation to finalize the consensus. RESULTS &CONCLUSIONS The Consensus establishes 10 key points for whole-process management of radiopharmaceuticals in medical institutions， covering organizational management and personnel requirements， procurement， preparation， acceptance， storage， risk prevention and control during use， radiation protection， and waste disposal. The Consensus provides a reference for improving radiopharmaceutical management in medical institutions and for ensuring their efficacy and safety in clinical application.

ObjectiveTo explore the possible mechanisms of Modified Shoutai Pill （寿胎丸加味方， MSP） in treating polycystic ovary syndrome （PCOS） with hyperandrogenism， insulin resistance， and miscarriage， focusing on inflammatory response and endometrial receptivity. MethodsThirty female SPF-grade SD rats with regular estrous cycles and in proestrus， and 15 male SPF-grade SD rats were housed together in a 2∶1 ratio at 18：00. At 8：00 next morning， rats showing abundant sperm and vaginal plugs were considered pregnant on the day 0.5. The 30 pregnant rats were randomly divided into three groups， normal group， model group， and MSP group， with 10 rats in each group. From day 0.5 to day 13.5 of pregnancy， the MSP group was given 26.6 g/（kg·d） of the MSP via gavage twice a day for 14 consecutive days. The normal group and the model group received 4 ml of normal saline daily. From day 7.5 to day 13.5 of pregnancy， the rats in the model group and MSP group were intraperitoneally injected with dihydrotestosterone （DHT） and insulin （INS） for 7 consecutive days to establish a PCOS model with hyperandrogenism， insulin resistance， and miscarriage. On day 13.5 of pregnancy， an oral glucose tolerance test （OGTT） was performed to measure blood glucose levels at 0， 30， 60， 90， and 120 minutes. On day 14.5， serum level of progesterone （P₄）， estradiol （E₂）， fasting insulin （FINS）， interleukin-6 （IL-6）， and tumor necrosis factor-alpha （TNF-α） were measured by ELISA. The insulin resistance index （HOMA-IR） was calculated. Embryo implantation， miscarriage rate， and average number of live fetuses were observed. Uterine tissue pathology was examined by HE staining， and mRNA expression of Il-6， Tnf-α， leukemia inhibitory factor （Lif）， homeobox gene 10 （Hoxa10）， prolactin family 8 subfamily A member 2 （Prl8a2）， and insulin-like growth factor-binding protein 1 （Igfbp1） in the uterine tissue was detected by qRT-PCR. ResultsCompared with the normal group， the model group had significantly higher blood glucose level at 0， 30， 60， 90， and 120 minutes， increased miscarriage rate， elevated HOMA-IR， decreased average number of live fetuses， lower level of P₄ and E₂， higher level of IL-6， TNF-α， and FINS， and higher mRNA expression of Il-6 and Tnf-α in the uterine tissue. The mRNA expression of Lif， Hoxa10， and Prl8a2 was reduced （P＜0.05 or P＜0.01）. The uterus had a dark red color， visible areas of bleeding， fewer embryos with developmental abnormalities， and increased placental necrosis. Pathological examination revealed thrombus in the decidual layer， unclear decidual cell morphology， loose arrangement， scattered distribution， edema degeneration in the cytoplasm， and nuclear shrinkage or disappearance， with extensive infiltration of inflammatory cells. In contrast， compared with the model group， the MSP group showed significantly lower blood glucose level at 0， 30， 60， 90， and 120 min， reduced miscarriage rate， lower HOMA-IR， increased number of live fetuses， higher level of P₄ and E₂， and lower level of IL-6， TNF-α， and FINS. The mRNA expression of Il-6 and Tnf-α in the uterine tissue was lower， while the expression of Lif， Hoxa10， and Prl8a2 mRNA was higher （P＜0.05 or P＜0.01）. There was significant improvement in uterine and embryo conditions， as well as in uterine tissue pathology. ConclusionThe MSP can reduce the miscarriage rate in a PCOS model with hyperandrogenism， insulin resistance， and miscarriage. Its mechanism may involve inhibiting inflammation， improving endometrial receptivity， and restoring the defects in endometrial decidualization.

Objective:To investigate the impact of postoperative complications on adverse outcomes following curative-intent resection for gallbladder cancer (GBC).Methods:The multi-center real-world study was conducted. The clinicopathological data of 629 patients with GBC, who were admitted to 14 medical centers including The First Affiliated Hospital of Army Medical University from the national multicenter database of Biliary Surgery Group of Elite Group of Chinese Journal of Digestive Surgery, from April 2020 to April 2024 were collected. There were 225 males and 404 females, aged (64±10)years. Patients underwent open curative-intent resection for GBC. Observation indicators: (1)surgery, postoperative complica-tions and adverse outcomes; (2) analysis of risk factors affecting postoperative adverse outcomes in patients and population attributable fraction (PAF). Missing data in predictor variables were addressed using multiple imputation with chained equations, while cases with missing outcome variables were addressed using the "multiple imputation then deletion (MID)" strategy. The severity of multicollinearity among independent variables was assessed using the variance inflation factor (VIF) test. Multivariable possion regression models with log link and robust error variance were construc-ted incorporating restricted cubic splines (3 knots) to address nonlinear relationships in continuous variables, calculating adjusted relative risk ( RR) with corresponding 95% confidence interval ( CI). Adjusted PAF was calculated for each imputed dataset using the AF package of R software, with subsequent pooling performed according to Rubin's rules. Results:(1) Surgery, postoperative complications and adverse outcomes. All 629 patients underwent curative-intent resection for GBC, of which 143 cases had postoperative complications, including 68 cases of intra-abdominal ascites, 39 cases of pulmonary infection, 21 cases of bile leakage, 12 cases of intra-abdominal hemorrhage, 11 cases of liver failure, 10 cases of pan-creatic fistula, 10 cases of wound infection, 10 cases of gastroparesis, 7 cases of cholangitis, 7 cases of sepsis. The same patient could have more than one kind of complication. Of 629 patients, there were 19 cases of postoperative 90-day death and 11 cases of missing data, 42 cases with post-operative 90-day reoperation and 7 cases with missing data, 44 cases with postoperative 90-day readmission and 3 cases with missing data, 155 cases with prolonged postoperative hospital stay and 3 cases with missing data. (2) Analysis of risk factors affecting the postoperative adverse outcomes in patients and PAF. Results of multivariate analysis showed that pulmonary infection and liver failure were independent risk factors for postoperative 90-day mortality ( RR=3.74, 12.15, 95% CI as 1.18-11.83, 1.98-74.48, P<0.05). Pulmonary infection demons-trated the highest PAF as 4.61% (95% CI as 3.94%-5.28%, P<0.05). Intra-abdominal ascites, pulmonary infection, bile leakage, and intra-abdominal hemorrhage were independent risk factors for post-operative 90-day reoperation ( RR=4.80, 3.62, 3.46, 4.99, 95% CI as 2.49-9.26, 1.42-9.21, 1.34-8.92, 1.55-16.06, P<0.05). Intra-abdominal ascites demonstrated the highest PAF as 8.65% (95% CI as 8.22%-9.08%, P<0.05). Intra-abdominal ascites, bile leakage, and liver failure were independent risk factors for postoperative 90-day readmission ( RR=6.20, 3.33, 14.33, 95% CI as 3.21-11.95, 1.33-8.35, 3.72-55.28, P<0.05). Intra-abdominal ascites demonstrated the highest PAF as 9.11% (95% CI as 8.85%-9.37%, P<0.05). Intra-abdominal ascites, pulmonary infection, bile leakage, liver failure, and wound infection were independent risk factors for prolonged postoperative hospital stay ( RR=2.29, 2.21, 2.26, 2.14, 3.35, 95% CI as 1.63-3.23, 1.41-3.46, 1.32-3.86, 1.11-4.13, 1.70-6.60, P<0.05). Intra-abdominal ascites demonstrated the highest PAF as 6.03% (95% CI as 5.71%-6.35%, P<0.05). Conclusion:Pulmonary infection is the most significant risk factor for postoperative 90-day mortality after curative-intent resection for GBC, while intra-abdominal ascites is the most significant risk factor for postoperative 90-day reoperation, postoperative 90-day readmission, and prolonged postoperative hospital stay.

In September 2023, a 40-year-old female patients with correction failed mallet finger was admitted to Department of Hand and Foot Microsurgery, Nanjing Jiangbei Hospital. After comparing with different surgical options, the method of bundling bone fragment with double figure-of-eight suture was adopted to correct the failed mallet finger. At 3 months follow-up, the mallet finger deformity was corrected. The active extension function of the distal interphalangeal joint (DIPJ) of the affected finger was restored, the DIPJ straighten to 0°, and the appearance of the finger was satisfactory.

Objective To investigate the clinical effect of autologous bone combined with allogeneic bone in repairing bone defect after microwave in situ inactivation for bone giant cell tumor around the knee.Methods A retrospective analysis was conducted on the clinical data of 39 patients with bone giant cell tumor around the knee treated in our hospital from January 2015 to December 2022.The tumor tissues of all patients were performed microwave in situ inactivation first,then followed by curettage;the subchondral bone defect adjacent to the articular surface was reconstructed with autologous bone graft,and the remaining tumor cavity was filled with a composite of autologous and allogeneic bone;then a locking plate was applied for protective fixation.The early outcomes including operative time,intraoperative blood loss,hospital stay,wound healing,and surgery-related complications were recorded.The regular follow-up was conducted after surgery,then the tumor recurrence or metastasis was observed and the status of internal fixation and bone graft fusion along with its fusion time were recorded.The knee functions before operation and at the end of follow-up were evaluated with the Musculoskeletal Tumor Society(MSTS)scoring system.The radiographic joint degeneration was evaluated by the Aboulafia classification system at the end of follow-up.Results The patients showed a mean operative time of(134.7±14.2)minutes,an averaged intraoperative blood loss of(153.9±23.0)mL,and a mean hospital stay of(17.4±3.2)days.The patients obtained Ⅰ phase wound healing without any surgery-related complications such as neurovascular injury.All patients underwent the postoperative follow-up,without local recurrence or metastasis cases during the follow-up.At the end of follow-up,the MSTS score of patients was higher than that before operation(P<0.05),with an excellent and good rate of knee function recovery of 89.7%.At the end of follow-up,X-ray films showed good filling of the lesion and bone graft fusion,with a mean fusion time of(9.4±2.1)months.No collapse or fracture of the articular surface occurred.According to the Aboulafia classification,there were 20 cases of grade 0,11 cases of grade 1,and 8 cases of grade 2.Conclusion The autologous bone and allogeneic bone in repair of bone defect after microwave in situ inactivation for bone giant cell tumor around the knee has perfect knee function recovery,and can effectively prevent the collapse and degeneration of articular surfaces,which helps in the reconstruction of tumor cavity.

Aim To investigate the role and mechanism of KLHL21 gene in myocardial infarction(MI)of mice.Methods KLHL21 gene knockout(KO)mice were generated using CRISPR/Cas9 technology,and C57BL/6 wild-type mice were used as controls.Sixty KLHL21 KO mice and 60 wild-type mice were randomly divided into four groups:WT+Sham group(n=30),WT+MI group(n=30),KO+Sham group(n=30)and KO+MI group(n=30).Postoperative is-chemic and infarct areas were assessed using TTC and Evans Blue staining,myocardial injury markers were measured by ELISA,cardiac function was evaluated by ultrasound,and histological changes were examined using HE and Masson stai-ning.Western blot was used to detect proteins related to the nuclear factor-κB(NF-κB)signaling pathway.Results KLHL21 protein expression in the myocardial tissue of KO mice was significantly lower than that in WT mice.The infarct area in KO+MI mice was significantly larger than that in WT+MI group.KO+MI mice showed reduced cardiac function compared with WT+MI mice.HE staining revealed myocardial cell loss,liquefactive necrosis,nuclear fragmentation,and significant neutrophil infiltration,while Masson staining showed aggravated fibrosis in KO+MI group.Serum tumor necrosis factor-alpha(TNF-α),interleukin-6(IL-6),creatine kinase-MB(CK-MB),and cardiac troponin Ⅰ(cTnⅠ)lev-els were significantly increased in KO+MI mice compared with WT+MI mice.Western blot analysis showed increased lev-els of phosphorylated inhibitor of nuclear factor-κB alpha(p-IKBα),P65,and P50,and decreased nuclear factor-κB al-pha(IKBα)in KO+MI mice.Conclusion KLHL21 gene plays a preventive role in myocardial infarction in mice,possibly through inhibition of NF-κB signaling pathway activation.

OBJECTIVE To establish a interview outline design process and quality control evaluation method based on grounded theory,providing ideas for qualitative research interview outline design in medical fields.METHODS A literature review was conducted to understand the current research status;a preliminary interview outline was developed around the research content.The triangulation method,group evaluation,expert review and pre-interview were adopted to execute the interview outline and conduct quality control.The evaluation indicators and target values were formulated(an average score for the overall quality evaluation of all indicators ≥4.5,and an average score for individual indicators ≥ 4.00)to evaluate the effect of the interview outline.Taking the research on the mechanism of physicians'prescribing behavior under the background of Diagnosis Related Groups(DRGs)payment as an example,the methodological contents of above interview outline were applied in practical research.RESULTS The interview outline included basic information and interview questions.The interview questions were divided into three parts:influencing factors survey,promoting and hindering factors of standardizing physician prescription behavior,and communication,with a total of 12 questions.After being reviewed by members of the research group,experts review and pre-interview,a total of 9 people participated in the quality control evaluation of the interview outline.The overall evaluation score was 4.94(＞4.50),and the average score of each indicator was greater than 4.00,indicating that the quality of the outline met the requirements for the interview and could be used for the formal interview.CONCLUSIONS The established interview outline design and quality control method based on grounded theory provides ideas for the qualitative research interview outline design in the medical field,and lays the foundation for further using grounded theory to study the influencing factors and mechanisms of physician prescription behavior under the DRG background.