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.

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 study the relevant factors affecting the occurrence of adjacent vertebral fractures in women with osteoporotic vertebral compression fractures after conservative treatments. METHODS: A total of 98 elderly female patients diagnosed with osteoporotic vertebral compression fractures and treated from January 2020 to January 2022 were retrospectively analyzed. The average age was (73.05±7.38) years old. Based on the follow-up results after two years of injury, the patients were divided into the adjacent vertebral fracture group (24 cases) and the non-adjacent vertebral fracture group (74 cases). The following factors were recorded for each patient:age, initial bone density, follow-up bone density, bone density changes, initial VAS score, degree of fracture compression, presence of old fractures, use of zoledronic acid, use of parathyroid hormone analogs, occurrence of complications, and further compression of the affected vertebrae. Univariate and multivariate Logistic regression analyses were performed to analyze the associated risk factors. RESULTS: Univariate analysis revealed that in elderly women undergoing conservative treatment for osteoporotic vertebral compression fractures, the degree of fracture compression, follow-up bone density, changes in bone density, use of zoledronic acid, and use of parathyroid hormone analogs were statistically significant(P<0.05). Multivariate Logistic regression analysis demonstrated that the degree of fracture compression 95%CI(0.040, 0.571), P=0.005, OR=0.151, changes in bone density 95%CI(1.264, 1 360.732), P=0.036, OR=41.477, and use of parathyroid hormone analogs 95%CI(1.638, 31.625), P=0.009, OR=7.196 were risk factors affecting the occurrence of adjacent vertebral fractures following vertebral compression fractures in elderly women with osteoporosis. CONCLUSION The degree of fracture compression, changes in bone density, and the use of parathyroid hormone analogs are factors influencing the occurrence of adjacent vertebral fractures following vertebral compression fractures in elderly women with osteoporosis. For patients with mild compression fractures (gradeⅠ), conservative treatment can be achieved by intensifying anti-osteoporosis therapy and using parathyroid hormone analogs.
Humans ; Female ; Aged ; Fractures, Compression/etiology* ; Spinal Fractures/therapy* ; Osteoporotic Fractures/therapy* ; Retrospective Studies ; Risk Factors ; Conservative Treatment ; Aged, 80 and over ; Bone Density

OBJECTIVE: To explore prevalence, incidence and possible factors of immediate herniated discs after posterior cervical expansive open-door laminoplasty (EODL). METHODS: Totally 29 patients with cervical spinal stenosis and intervertebral disc herniation who underwent EODL from October 2020 to December 2021 were collected, including 24 males and 5 females, aged from 43 to 81 years old with an average of (61.3±9.0) years old;the courses of disease ranged from 1 to 120 months with an average of (36.4±37.0) months. Three or more intervertebral discs on C₃-C₇ were observed. The clinical efficacy was evaluated according to Japanese Orthopaedic Association (JOA) score before operation, 3 days and 1, 3, 6 and 12 months after operation, respectively. The changes of herniated disc before and after operation were measured by multipoint area method and two-dimensional distance method, and incidence and percentage of herniated disc regression were further calculated. Cervical imaging parameters such as Cobb angle (C₃-C₇), intervertebral angle, T₁ slope (T₁S), spinal canal sagittal diameter, K-line angle, dural sac sagittal diameter were measured and compared before and after operation. Pearson correlation was used to analyze correlation between cervical sagittal imaging parameters and disc herniation changes before and after operation. RESULTS: All patients obtained grade A wound healing, and 14 of them were followed up for 3(1.00, 5.25) months. There were no immediate or long-term postoperative complications. Totally 101 herniated intervertebral discs were measured, of which 79 regression numbers were obtained by area measurement. The number of intervertebral disc regressions by distance measurement was 77. There was no statistically significant difference in Cobb angle, intervertebral angle, T₁S and K-line angle of C₃-C₇ (P>0.05), however, there were statistically significant differences in sagittal diameter of spinal canal, sagittal diameter of dural sac, and JOA score before and after operation(P<0.05). The regression ratio of disc herniation ranged from 5% to 50%, and regression ratio of disc herniation was greater than 25% in 45.57%(36/79). Disc herniation in C_4,5 was positively correlated with sagittal plane diameter in C₅(r=0.423, P=0.028). There was a negative correlation between changes of C_3,4 and C_3,4 intervertebral angle (r=-0.450, P=0.041). The improvement rate of cervical JOA score immediately after operation was (59.54±15.07) %, and postoperative follow-up improved to (76.57±14.66) %. CONCLUSION Herniated disc regression immediately after EODL is a common occurrence, and EODL should be selected as far as possible under the premise of satisfying surgical indications. The regression of disc herniation is positively correlated with spinal canal sagittal diameter, and spinal canal should be enlarged as far as possible in the appropriate scope during EODL, so as to create more opportunities and conditions for disc regression and achieve better clinical results.
Humans ; Female ; Male ; Intervertebral Disc Displacement/diagnostic imaging* ; Spinal Stenosis/diagnostic imaging* ; Laminoplasty/methods* ; Middle Aged ; Aged ; Cervical Vertebrae/diagnostic imaging* ; Adult ; Aged, 80 and over ; Intervertebral Disc/surgery*

OBJECTIVES: To investigate the value of weight growth velocity, calculated using the Patel exponential model and the Z-score change method, in predicting the neurological and physical development outcomes of preterm infants with a gestational age of <30 weeks in the long term. METHODS: A retrospective study was conducted involving preterm infants with a gestational age of <30 weeks who were hospitalized and treated in the Department of Neonatology at Tongji Hospital, Huazhong University of Science and Technology, from January 2017 to June 2022, and were followed up at the outpatient service more than 18 months of age. The preterm infants were divided into high and low rate groups based on the two calculation methods, and the two methods were compared regarding their predictive value for neurological and physical development outcomes in the long term. RESULTS: The average age of the last follow-up was (23.0±3.6) months. For neurological development, according to the Patel exponential model, the low rate group exhibited a significantly higher abnormal rate in the fine motor domain compared to the high rate group (P<0.05). Using the Z-score change method, the low rate group had significantly higher abnormal rates in both gross motor and fine motor domains, and significantly lower developmental quotients for gross motor, fine motor, and adaptive behavior domains compared to the high rate group (P<0.05). For physical development, there were no significant differences in body length, body weight, head circumference, or the incidence rate of growth restriction between the low rate and high rate groups identified by either method (P>0.05). CONCLUSIONS Weight growth velocity calculated using the Z-score change method is more effective in predicting long-term neurological outcomes in preterm infants, while weight growth velocity derived from both methods shows no significant association with long-term physical development outcomes.
Humans ; Infant, Premature/growth & development* ; Retrospective Studies ; Infant, Newborn ; Child Development ; Male ; Female ; Body Weight ; Infant ; Nervous System/growth & development*

OBJECTIVE: To investigate the efficacy and safety of combination regimen containing daratumumab in multiple myeloma (MM) patients. METHODS: The clinical data of 14 newly diagnosed MM patients and 58 relapsed refractory MM patients treated with combination regimen containing daratumumab from November 2020 to March 2023 in the First Affiliated Hospital of Nanchang University were retrospectively analyzed. The efficacy and safety of combination regimen were analyzed. RESULTS: The median age of the 72 patients was 62 (38-78) years, including 35 males and 37 females. The overall response rate (ORR) of patients receiving first-line, second-line, and third-line or above treatment was 92.9% (13/14), 68.2% (30/44), and 42.9% (6/14), respectively. The median progression-free survival (PFS) was not reached, 15.4 months, and 9.7 months in three groups, respectively (all P <0.05), while the median overall survival (OS) was all not reached. Among relapsed refractory patients, the ORR of those treated with DVd, DPd and DRd regimen was 50.0% (12/24), 40.0% (4/10) and 100% (10/10), the median PFS was 2.8 months, 10.3 months and not reached, and the median OS was 15.4 months, not reached and not reached, respectively. Furthermore, the PFS and OS in the DRd group were superior to those in the other two groups (all P <0.05). Cox univariate and multivariate analysis showed that lactate dehydrogenase (LDH) ≥250 U/L and extramedullary disease were independent adverse prognostic factors for PFS, and LDH ≥250 U/L was also an independent adverse prognostic factor for OS. Hematologic adverse reactions were mainly lymphopenia (87.5%) and thrombocytopenia (52.8%), while non-hematologic adverse reactions were mainly infusion-related reactions (19.4%) and infections (11.1%). CONCLUSIONS The combination regimens containing daratumumab can be used as first-line treatment for patients with newly diagnosed MM. In patients with relapsed refractory MM, early use of regimens containing daratumumab may improve treatment response rate and prolong PFS. The DRd regimen has better therapeutic response and survival advantages. LDH is an independent prognostic factor affecting PFS and OS in MM patients.
Humans ; Multiple Myeloma/drug therapy* ; Middle Aged ; Aged ; Male ; Female ; Antibodies, Monoclonal/administration & dosage* ; Adult ; Retrospective Studies ; Antineoplastic Combined Chemotherapy Protocols/therapeutic use* ; Treatment Outcome

[This corrects the article DOI: 10.1016/j.apsb.2024.03.030.].

Objective To clarify the risk factors of diaphragmatic dysfunction (DD) after cardiac surgery with extracorporeal circulation. Methods A retrospective analysis was conducted on the data of patients who underwent cardiac surgery with extracorporeal circulation in the Department of Cardiovascular Surgery of Peking University People's Hospital from January 2023 to March 2024. Patients were divided into two groups according to the results of bedside diaphragm ultrasound: a DD group and a control group. The preoperative, intraoperative, and postoperative indicators of the patients were compared and analyzed, and independent risk factors for DD were screened using multivariate logistic regression analysis. Results A total of 281 patients were included, with 32 patients in the DD group, including 23 males and 9 females, with an average age of (64.0±13.5) years. There were 249 patients in the control group, including 189 males and 60 females, with an average age of (58.0±11.2) years. The body mass index of the DD group was lower than that of the control group [(18.4±1.5) kg/m2 vs. (21.9±1.8) kg/m2, P=0.004], and the prevalence of hypertension, chronic obstructive pulmonary disease, heart failure, and renal insufficiency was higher in the DD group (P<0.05). There was no statistical difference in intraoperative indicators (operation method, extracorporeal circulation time, aortic clamping time, and intraoperative nasopharyngeal temperature) between the two groups (P>0.05). In terms of postoperative aspects, the peak postoperative blood glucose in the DD group was significantly higher than that in the control group (P=0.001), and the proportion of patients requiring continuous renal replacement therapy was significantly higher than that in the control group (P=0.001). The postoperative reintubation rate, tracheotomy rate, mechanical ventilation time, and intensive care unit stay time in the DD group were higher or longer than those in the control group (P<0.05). Multivariate logistic regression analysis showed that low body mass index [OR=0.72, 95%CI (0.41, 0.88), P=0.011], preoperative dialysis [OR=2.51, 95%CI (1.89, 4.14), P=0.027], low left ventricular ejection fraction [OR=0.88, 95%CI (0.71, 0.93), P=0.046], and postoperative hyperglycemia [OR=3.27, 95%CI (2.58, 5.32), P=0.009] were independent risk factors for DD. Conclusion The incidence of DD is relatively high after cardiac surgery, and low body mass index, preoperative renal insufficiency requiring dialysis, low left ventricular ejection fraction, and postoperative hyperglycemia are risk factors for DD.

Objective To evaluate the influence of the wearing position of dosimeters outside lead aprons on effective dose estimation for interventional radiology workers, analyze the differences between single and double dosimeter methods in effective dose estimation, and provide a reference for the personal dose monitoring of interventional radiology workers. Methods This study employed a combined approach of on-site monitoring and Monte Carlo simulation to evaluate the impact of the wearing position of dosimeters outside lead aprons on effective dose estimation, as well as the differences between effective doses measured using single and double dosimeters. Interventional radiology workers wore dosimeters at three positions: the neck outside the lead collar, the left chest outside the lead apron, and inside the lead apron. Effective doses were estimated using the single and double dosimeter methods specified in GBZ 128-2019 Specifications for individual monitoring of occupational external exposure, and the impact of different wearing positions on the estimation results was compared. Geant4 Monte Carlo simulations were used to model dose distributions at the neck outside the lead collar and at the left chest outside the lead apron for operators performing cardiovascular interventions under tube voltages of 70, 80, 90, and 100 kVp and exposure angles of posteroanterior (PA), anteroposterior (AP), and left anterior oblique 45° (LAO45°) positions. The study assessed the impact of dosimeter wearing position on effective dose estimation. Results Monte Carlo simulations demonstrated that neck doses consistently exceeded left chest doses across different tube voltages and exposure angles, with neck-to-chest dose ratios of 0.80-0.90. Under identical tube voltage conditions, AP showed the highest doses, followed by LAO45°, and PA demonstrated the lowest doses. The single and double dosimeter methods exhibited consistent patterns in effective dose estimation. Single dosimeter method generally yielded higher effective doses with relative deviations of 9.9% to 83%, though these deviations decreased under high tube voltages. Field monitoring data indicated that most interventional radiology workers maintained relative deviations between single and double dosimeter calculations below 6%, with neck-to-chest dose ratios of 0.95-1.1. The estimation patterns remained consistent across both methods, though single dosimeter method showed slightly higher results. Conclusion Under PA, AP, or LAO45°, the doses at the neck consistently exceeded those at the left chest. Therefore, when wearing lead protective equipment, the dosimeter should be properly positioned at the neck outside the lead collar to accurately reflect the radiation doses of surgeons. Some interventional radiology workers improperly positioned the dosimeter (intended at the neck outside the lead collar) at the left chest outside the lead apron, and this may result in an underestimation of the effective dose.

OBJECTIVE: To observe the clinical efficacy of auricular electroacupuncture for post-stroke dysphagia in the pharyngeal phase. METHODS: Eighty-two patients with post-stroke dysphagia in the pharyngeal phase were randomized into an auricular electroacupuncture group (41 cases) and a swallowing electrical stimulation group (41 cases, 1 case dropped out). In the auricular electroacupuncture group, electroacupuncture was applied at auricular points, i.e. Xin (CO₁₅) and Yanhou (TG₃), using disperse-dense wave, in frequency of 2 Hz/10 Hz, 30 min a time. In the swallowing electrical stimulation group, swallowing electrical stimulation was delivered for 30 min a time. Both groups were treated once daily for 4 weeks. The functional oral intake scale (FOIS) grade, as well as the hyolaryngeal complex displacement, the pharyngeal constriction rate (PCR) and the pharyngeal delay time (PDT) under video fluoroscopic study of swallowing (VFSS) were observed before and after treatment, and the clinical efficacy was evaluated in the two groups. RESULTS: Compared before treatment, the FOIS grade was improved (P<0.01), the forward and upward displacement amplitude of hyoid bone and thyroid cartilage was increased (P<0.05), and the PCR and PDT were decreased (P<0.05) after treatment in the two groups. After treatment, compared with the swallowing electrical stimulation group, the FOIS grade was superior (P<0.01), the upward displacement amplitude of hyoid bone and thyroid cartilage was larger (P<0.05) and the PCR and PDT were lower (P<0.05) in the auricular electroacupuncture group. The total effective rate was 85.4% (35/41) in the auricular electroacupuncture group, which was higher than 62.5% (25/40) in the swallowing electrical stimulation group (P<0.05). CONCLUSION Auricular electroacupuncture can effectively trigger pharyngeal initiation and improve post-stroke dysphagia in the pharyngeal phase.
Humans ; Electroacupuncture ; Male ; Deglutition Disorders/etiology* ; Female ; Middle Aged ; Aged ; Stroke/physiopathology* ; Pharynx/physiopathology* ; Acupuncture, Ear ; Acupuncture Points ; Deglutition ; Treatment Outcome ; Adult