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.
ObjectiveTo summarize the research progress of patient-derived organoid (PDO) and patient-derived xenograft (PDX) models in preclinical drug screening for gastric cancer, aiming to provide a new perspective for precise drug screening and promote the application of personalized medicine and precision medicine for gastric cancer. MethodA literature review was conducted on the use of PDO and PDX models in the basic research and preclinical drug screening for gastric cancer. ResultsThe PDO and PDX models of gastric cancer exhibited a higher tumor biological simulation capability and a relatively accurate preclinical drug response prediction. However, they each have some certain limitations. The advent of organoid models based on xenografting, which combines the advantages of both, is expected to compensate for their respective shortcomings. These models can better reflect the heterogeneity of patients’ tumors and have unique advantages in the evaluation of new targeted drugs for specific molecular targets in gastric cancer, such as epidermal growth factor receptor. They show a certain correlation with the actual clinical response of patients, paving a new way for the development of new drugs, the study of drug action and resistance mechanisms, and personalized therapy. ConclusionPDO and PDX models, as a highly promising research platform, show a great potential in the screening of anti-tumor drugs and the development of personalized medical strategies.
Objective To explore the coronal alignment of tibial prosthesis after osteotomy using personalized extramedullary positioning technique on tibia side in total knee arthroplasty (TKA). Methods A clinical data of 170 patients (210 knees) who underwent primary TKA between January 2020 and June 2021 and met the selection criteria was retrospectively analyzed. Personalized and traditional extramedullary positioning techniques were used in 93 cases (114 knees, personalized positioning group) and 77 cases (96 knees, traditional positioning group), respectively. The personalized extramedullary positioning was based on the anatomical characteristics of the tibia, a personalized positioning point was selected as the proximal extramedullary positioning point on the articular surface of the tibial plateau. There was no significant difference between the two groups in gender, age, body mass index, surgical side, course of osteoarthritis, and Kellgren-Lawrence classification (P>0.05). The preoperative tibial bowing angle (TBA) formed by the proximal and distal tibial coronal anatomical axes in the personalized positioning group was measured and the tibia axis was classified, and the distribution of personalized positioning point was analyzed. The pre- and post-operative hip-knee-ankle angle (HKA), the lateral distal tibial angle (LDTA), and the postoperative tibia component angle (TCA), the excellent rate of tibial prosthesis alignment in coronal position were compared between the two groups. Results In the personalized positioning group, 58 knees (50.88%) were straight tibia, 35 knees (30.70%) were medial bowing tibia, and 21 knees (18.42%) were lateral bowing tibia. The most positioning points located on the highest point of the lateral intercondylar spine (62.07%) in the straight tibia group, while in the medial bowing tibia and lateral bowing tibia groups, most positioning points located in the area between the medial and lateral intercondylar spines (51.43%) and the lateral slope of the lateral intercondylar spine (57.14%), respectively. The difference in HKA between pre- and post-operation in the two groups was significant (P<0.05); while the difference in LDTA was not significant (P>0.05). There was no significant difference in preoperative LDTA and HKA and the difference between pre- and post-operation between groups (P>0.05). But there was significant difference in postoperative TCA between groups (P<0.05). The postoperative tibial plateau prosthesis in the traditional positioning group was more prone to varus than the personalized positioning group. The excellent rates of tibial prosthesis alignment in coronal position were 96.5% (110/114) and 87.5% (84/96) in personalized positioning group and traditional positioning group, respectively, showing a significant difference between groups (χ2=7.652, P=0.006). Conclusion It is feasible to use personalized extramedullary positioning technique for coronal osteotomy on the tibia side in TKA. Compared with the traditional extramedullary positioning technique, the personalized extramedullary positioning technique has a higher excellent rate of tibial prosthesis alignment in coronal position.
ObjectiveTo evaluate the clinical value of three-dimensional (3D) printing model in accurate and minimally invasive treatment of double outlet right ventricle (DORV).MethodsFrom August 2018 to August 2019, 35 patients (22 males and 13 females) with DORV aged from 5 months to 17 years were included in the study. Their mean weight was 21.35±8.48 kg. Ten patients who received operations guided by 3D printing model were allocated to a 3D printing model group, and the other 25 patients who received operations without guidance by 3D printing model were allocated to a non-3D printing model group. Preoperative transthoracic echocardiography and CT angiography were performed to observe the location and diameter of ventricular septal defect (VSD), and to confirm the relationship between VSD and double arteries.ResultsThe McGoon index of patients in the 3D printing model group was 1.91±0.70. There was no statistical difference in the size of VSD (13.20±4.57 mm vs. 13.40±5.04 mm, t=?0.612, P=0.555), diameter of the ascending aorta (17.10±2.92 mm vs. 16.90±3.51 mm, t=0.514, P=0.619) or diameter of pulmonary trunk (12.50±5.23 mm vs. 12.90±4.63 mm, t=?1.246, P=0.244) between CT and 3D printing model measurements. The Pearson correlation coefficients were 0.982, 0.943 and 0.975, respectively. The operation time, endotracheal intubation time, ICU stay time and hospital stay time in the 3D printing model group were all shorter than those in the non-3D printing model group (P<0.05).ConclusionThe relationship between VSD and aorta and pulmonary artery can be observed from a 3D perspective by 3D printing technology, which can guide the preoperative surgical plans, assist physicians to make reasonable and effective decisions, shorten intraoperative exploration time and operation time, and decrease the surgery-related risks.
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.
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.
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.
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.
