Objective To investigate the effectiveness of anterior cruciate ligament (ACL) reconstruction assisted by personalized femoral locator based on the apex of deep cartilage (ADC) combined with patient imaging data. Methods Between January 2021 and January 2022, a total of 40 patients with primary ACL rupture were selected and randomly divided into study group (ACL reconstruction assisted by personalized femoral locator based on ADC) and control group (ACL reconstruction assisted by intraoperative fluoroscopy and traditional femoral locator), with 20 cases in each group. There was no significant difference in gender, age, body mass index, affected side, cause of injury, and preoperative International Knee Documentation Committee (IKDC) score, Lyshlom score, and Tegner score between the two groups (P>0.05). IKDC score, Lyshlom score, and Tegner score were used to evaluate the functional recovery of the affected knee before operation and at 3, 6, and 12 months after operation. CT scan and three-dimensional reconstruction were performed before and after operation to measure the horizontal distance from ADC to the anterior cartilage margin (L) and the horizontal distance from ADC to the center of the femoral canal (I), and the anteroposterior position of the bone canal (R) was calculated by I/L; the distance from the center to the distal cartilage margin (D) was measured on the two-dimensional cross section; the R value and D value were compared between the two groups. Results The operation time of the study group was significantly less than that of the control group [MD=?6.90 (?8.78, ?5.03), P<0.001]. The incisions of the two groups healed by first intention, and no complication such as intra-articular infection, nerve injury, and deep vein thrombosis of lower limbs occurred. There was no significant difference in the R value and D value between the preoperative simulated positioning and the actual intraoperative positioning in the study group [MD=0.52 (?2.85, 3.88), P=0.758; MD=0.36 (?0.39, 1.11), P=0.351]. There was no significant difference in the actual intraoperative positioning R value and D value between the study group and the control group [MD=1.01 (?2.57, 4.58), P=0.573; MD=0.24 (?0.34, 0.82), P=0.411]. The patients in both groups were followed up 12-13 months (mean, 12.4 months). The IKDC score, Lysholm score, and Tegner score of the two groups increased gradually with time, and there were significant differences between pre- and post-operation (P<0.05). There was no significant difference in the scores between the two groups at each time point after operation (P>0.05). Conclusion The personalized femoral locator based on ADC can accurately assist the femoral tunnel positioning in ACL reconstruction, which can shorten the operation time when compared with traditional surgical methods, and achieve satisfactory early effectiveness.
Artificial intelligence (AI) technologies, encompassing virtual reality, augmented reality and adaptive learning platforms, offer immersive and personalised opportunities for undergraduate orthopaedic education. However, their adoption is hindered by limited faculty acceptance, data privacy and ethical risks, and disparities in educational resources. This study examines the opportunities and challenges of AI integration in orthopaedic teaching and proposes strategies including systematic AI training, strengthened data protection, resource sharing, and blended learning models. These measures aim to enhance the quality of learning for students and educators while fostering innovation and progress in medical education.
ObjectiveTo summarize the clinical application and future application prospects of organoid model in pancreatic cancer. MethodThe domestic and foreign literature related on the application of organoid model in pancreatic cancer was reviewed. ResultsIn recent years, the organoid model of pancreatic cancer was constructed mainly using patient-derived tissues, fine-needle aspiration samples, and human pluripotent stem cells. The biomarkers of pancreatic cancer were screened according to the histological and structural heterogeneities of the primary tumor retained in organoid model, such as microRNA, glypican-1, annexin A6 and protein biomarkers cytokeratin 7 and 20, cell tumor antigen p53, Claudin-4, carbohydrate antigen 19-9, etc.in the extracellular vesicles. The results of organoid model could maintain the original tumor characteristics and the higher correlation between the organoid model drug sensitivity data and the clinical results of pancreatic cancer patients suggested that, the drug sensitivity data of organoid model could be used to avoid ineffective chemotherapy, so as to improve the treatment response rate and reduce the toxicity of chemical drug treatment, and reasonably select individualized treatment plans for pancreatic cancer patients in future. ConclusionsOrganoid model has many research in screening biomarkers of pancreatic cancer, individualized drug screening, and drug sensitivity test. It can simulate the complex pathophysiological characteristics of pancreatic cancer in vitro, and retain the physiological characteristics and gene phenotype of original tumor cells. It is expected to become a new platform for selecting biomarkers of pancreatic cancer, testing drug sensitivity, and formulating individualized treatment methods for pancreatic cancer, which might further accelerate the research progress of pancreatic cancer.
Objective To explore the application of personalized guide plate combined with intraoperative real-time navigation in repairing of mandibular defect using fibula muscle flap, providing the basis for the precise repair and reconstruction of mandible. Methods The clinical data of 12 patients (9 males and 3 females) aged from 23 to 71 years (mean, 55.5 years) between July 2019 and December 2021 were recorded. These patients were diagnosed as benign or malignant mandibular tumors, including 2 cases of ameloblastoma, 6 cases of squamous cell carcinoma, 2 cases of osteosarcoma, 1 case of adenoid cystic carcinoma, and 1 case of squamous carcinoma. All patients were treated with mandibular amputation, and then repaired by double-stacked three-segment fibula muscle flap. Preoperative virtual design scheme and guide plate were performed. During the operation, personalized guide plate combined with real-time navigation was used for fibular osteotomy and shaping. Thin-slice CT examination was performed at 2-3 weeks after operation, and was fitted with the preoperative virtual design scheme. The difference between the distance of bilateral mandibular angles relative to the reference plane in three-dimensional directions (left-right, vertical, and anterior-posterior) and the difference of the medial angle of the lower edge of the mandible reconstructed by fibula were measured, and the mean error of chromatographic fitting degree was calculated. Results The guide plate and navigation were applied well, and the fibula shaping and positioning were accurate. The fibula muscle flap survived, the incision healed well, and the occlusal relationship was good. All 12 patients were followed up 1-29 months, with an average of 17 months. There was no significant difference on the distance of bilateral mandibular angles relative to the reference plane in the left-right [(?0.24±1.35) mm; t=?0.618, P=0.549], vertical [?0.85 (?1.35, 1.40) mm; Z=?0.079, P=0.937], and anterior-posterior [(?0.46±0.78) mm; t=?2.036, P=0.067] directions. The difference of the medial angle of the lower edge of the mandible reconstructed by fibula was also not significant [(?1.35±4.34)°; t=?1.081, P=0.303)]. Postoperative CT and preoperative virtual design fitting verified that there was no significant difference in the change of the mandibular angle on both sides, and the average error was (0.47±1.39) mm. ConclusionThe personalized guide combined with intraoperative real-time navigation improves the accuracy of peroneal muscle flap reconstruction of the mandible, reduces the complications, and provides a preliminary basis for the application of visual intraoperative navigation in fibula muscle flap reconstruction of the mandible.
In order to monitor the emotional state changes of audience on real-time and to adjust the music playlist, we proposed an algorithm framework of an electroencephalogram (EEG) driven personalized affective music recommendation system based on the portable dry electrode shown in this paper. We also further finished a preliminary implementation on the Android platform. We used a two-dimensional emotional model of arousal and valence as the reference, and mapped the EEG data and the corresponding seed songs to the emotional coordinate quadrant in order to establish the matching relationship. Then, Mel frequency cepstrum coefficients were applied to evaluate the similarity between the seed songs and the songs in music library. In the end, during the music playing state, we used the EEG data to identify the audience’s emotional state, and played and adjusted the corresponding song playlist based on the established matching relationship.
ObjectiveTo investigate the short-term effectiveness of three-dimensional (3D) printing personalized prosthesis in the treatment of giant cell tumor of bone around knee joint.MethodsA clinical data of 9 patients with giant cell tumor of bone around knee joints and met the inclusive criteria between May 2014 and August 2017 was retrospectively analysed. There were 4 males and 5 females, with an average age of 35.8 years (range, 24-50 years). The lesion located at the distal femur in 4 cases and at the proximal tibia in 5 cases. The disease duration was 5-25 months (mean, 12.9 months). According to Campanacci grading, there were 2 patients of grade Ⅰ and 7 of grade Ⅱ. The 3D printing personalized prosthesis was designed based on the CT scanning and 3D reconstruction prepared before operation. All patients were treated with the tumor resection and 3D printing personalized prosthesis reconstruction. The radiological examination was taken to observe the tumor recurrence and the Musculoskeletal Tumor Society 1993 (MSTS93) score was used to evaluate the knee function.ResultsAll operations were successful and all incisions healed by first intention without early complications. All patients were followed up 24-40 months (mean, 31.2 months). At last follow-up, no complication such as pain, pathological fracture, prosthesis loosening, or tumor recurrence occurred. The MSTS93 score was 20-29 (mean, 24.7). The knee function was rated as excellent in 6 cases and good in 3 cases, with the excellent and good rate of 100%. ConclusionFor giant cell tumor of bone around knee joint, 3D printing personalized prosthesis has the advantages of bio-fusion with host bone, mechanical stability, good joint function, and ideal short-term effectiveness. But the middle- and long-term effectiveness still need to be further observed.
ObjectiveTo clarify the application value of thyroid organoids in basic research and clinical translation of thyroid diseases, analyze the key challenges currently faced, and prospect future development directions. MethodsRelevant domestic and international literatures in recent years were systematically searched. This review summarized the construction strategies of thyroid organoids, and their application progress in disease model establishment (e.g., thyroid cancer, Hashimoto thyroiditis), drug screening, and personalized treatment. ResultsThyroid organoids can highly simulate the morphological structure and gene expression profile of native thyroid tissue. In terms of disease modeling, they can accurately reproduce the pathological characteristics and immune microenvironment of thyroid diseases. In drug screening, organoids can predict the response to radioactive iodine therapy and the sensitivity to targeted drugs, with high consistency between their drug sensitivity results and clinical efficacy. In mechanism research, organoids have been successfully used to reveal the roles of abnormal mitogen-activated protein kinase/phosphatidylinositol 3 kinase-protein kinase B signaling pathways, epithelial-mesenchymal transition, ferroptosis, and immunoregulatory mechanisms in thyroid carcinogenesis and disease progression, providing experimental evidence for target identification. ConclusionsAs an in vitro model that highly simulates the in vivo environment, thyroid organoids have become an important platform for thyroid disease research. Although challenges remain in standardized construction and clinical translation, with technical optimization and research evidence accumulation, they hold broad prospects in the field of precision medicine.
Tinnitus is a common clinical symptom. Researches have shown that fractal sound can effectively treat tinnitus. But current fractal sound is usually synthesized based on constant notes via fractal algorithm, which lead to monotony of synthesized fractal sound. So it is difficult to achieve personalized match. Clinical datas have confirmed that it is common to match tinnitus sound with nature sound and it has a good effect on regulating negative emotion and relieving tinnitus via some natural sound. Therefore, a new method of personalized synthesizing tinnitus rehabilitation sound based on iterative function system (IFS) fractal algorithm is proposed in this paper. This method firstly generates personalized audio library based on natural sound, then tinnitus rehabilitation sound is synthesized via IFS fractal algorithm. Simulation results show that rehabilitation sound in this paper can meet the basic requirements of tinnitus therapy sound and can match tinnitus sound by controlling personalized audio library. So it has reference significance to the treatment of tinnitus sound therapy.
ObjectiveTo explore the application of three-dimensional (3D) printing technology in precise and individualized surgical treatment of severe distal humeral bone defect.MethodsFive patients with severe distal humeral bone defects were treated with customized 3D printing prostheses between December 2010 and December 2015. There were 4 males and 1 female, with an age of 23-57 years (mean, 35 years); and the length of the bone defect was 5-12 cm (mean, 8 cm). The cause of injury was mechanical injury in 2 cases and strangulation in 3 cases. All of them were the open fracture of Gustilo type Ⅲ. There were 2 cases of radial fracture, 1 case of cubital nerve injury, and 3 cases of radial nerve injury. The time from injury to one-stage operation was 6-18 hours (mean, 10 hours). The operation time, intraoperative blood loss, and intraoperative fluoroscopy were recorded. During follow-up, the anteroposterior and lateral X-ray films of the elbow joints were performed to identify whether there was prosthesis loosening; Mayo Elbow Performance Score (MEPS) and upper extremity Enneking score were used to evaluate limb function.ResultsThe operation time was 140-190 minutes (mean, 165 minutes). The intraoperative blood loss was 310-490 mL (mean, 415 mL). The intraoperative fluoroscopy was 1-3 times (mean, 1.6 times). Five patients were followed up 14-38 months (mean, 21 months). The wound exudate occurred in 1 case and cured after anti-inflammatory local dressing change; the subcutaneous hematoma occurred in 1 case, and improved after color Doppler ultrasound guided puncture and drainage. The MEPS scores and the Enneking scores were all significantly improved when compared with preoperative ones (P<0.05). Except MEPS score between 6 and 12 months after operation had no significant difference (P>0.05), there were significant differences in MEPS scores and Enneking scores between the other time points (P<0.05). During the follow-up, no prosthetic loosening or joint dislocation occurred.Conclusion3D printing technology can achieve personalized treatment of severe distal humeral bone defects, obtain relatively good elbow joint function, and has less postoperative complications and satisfactory effectiveness.
The widespread application of low-dose computed tomography (LDCT) has significantly increased the detection of pulmonary small nodules, while accurate prediction of their growth patterns is crucial to avoid overdiagnosis or underdiagnosis. This article reviews recent research advances in predicting pulmonary nodule growth based on CT imaging, with a focus on summarizing key factors influencing nodule growth, such as baseline morphological parameters, dynamic indicators, and clinical characteristics, traditional prediction models (exponential and Gompertzian models), and the applications and limitations of radiomics-based and deep learning models. Although existing studies have achieved certain progress in predicting nodule growth, challenges such as small sample sizes and lack of external validation persist. Future research should prioritize the development of personalized and visualized prediction models integrated with larger-scale datasets to enhance predictive accuracy and clinical applicability.
