ObjectiveTo summarize the treatment strategies and clinical experiences of 5 cases of giant plexiform neurofibromas (PNF) involving the head, face, and neck. MethodsBetween April 2021 and May 2023, 5 patients with giant PNFs involving the head, face, and neck were treated, including 1 male and 4 females, aged 6-54 years (mean, 22.4 years). All tumors showed progressive enlargement, involving multiple regions such as the maxillofacial area, ear, and neck, significantly impacting facial appearance. Among them, 3 cases involved tumor infiltration into deep tissues, affecting development, while 4 cases were accompanied by hearing loss. Imaging studies revealed that all 5 tumors predominantly exhibited an invasive growth pattern, in which 2 and 1 also presenting superficial and displacing pattern, respectively. The surgical procedure followed a step-by-step precision treatment strategy based on aesthetic units, rather than simply aiming for maximal tumor resection in a single operation. Routine preoperative embolization of the tumor-feeding vessels was performed to reduce bleeding risk, followed by tumor resection combined with reconstructive surgery. Results All 5 patients underwent 1-3 preoperative embolization procedures, with no intraoperative hemorrhagic complications reported. Four patients required intraoperative blood transfusion. A total of 10 surgical procedures were performed across the 5 patients. One patient experienced early postoperative flap margin necrosis due to ligation for hemostasis; however, the incisions in the remaining patients healed without complications. All patients were followed up for a period ranging from 6 to 36 months, with a mean follow-up duration of 21.6 months. No significant tumor recurrence was observed during the follow-up period. Conclusion For patients with giant PNF involving the head, face, and neck, precision treatment strategy can effectively control surgical risks and improve the standard of aesthetic reconstruction. This approach enhances overall treatment outcomes by minimizing complications and optimizing functional and cosmetic results.
Objective To observe the efficacy and safety of subretinal injection of Aflibercept for the treatment of refractory or recurrent polypoidal choroidal vasculopathy (PCV). MethodsA prospective clinical research. From January to June 2022, 18 patients of 18 eyes with PCV diagnosed in The Affiliated Eye Hospital of Nanchang University were included in the study. All patients underwent best corrected visual acuity (BCVA), indocyanine green angiography and optical coherence tomography (OCT). The BCVA examination was performed using the international standard visual acuity chart, which was converted to logarithm of the minimum angle of resolution (logMAR) visual acuity during statistics. The large choroidal vessel thickness (LVCT), central retinal thickness (CRT), sub-foveal choroidal thickness (SFCT) and retinal pigment epithelium detachment (PED) height were measured by enhanced depth imaging technique of OCT. The choroidal vascular index (CVI) was calculated. There were 18 patients of 18 eyes, 11 males of 11 eyes and 7 females of 7 eyes. The age was (64.22±3.86) years old. The disease duration was (5.22±1.80) years. The patient had received intravitreal injection of anti-vascular endothelial growth factor (VEGF) drugs for (7.72±1.36) times. The logMAR BCVA of the affected eyes was 1.28±0.25. The SFCT, CRT, LVCT, PED height were (436.56±9.80), (432.44±44.29), (283.78±27.10), (342.44±50.18) μm, respectively, and CVI was 0.65±0.01. All eyes were treated with a single subretinal injection of 40 mg/ml Aflibercept 0.05 ml (including Aflibercept 2.0 mg). According to the results of OCT and BCVA after treatment, the lesions were divided into active type and static type. The active lesions were treated with intravitreal injection of Aflibercept at the same dose as before. Quiescent lesions were followed up. Examinations were performed 1-3, 6, 9 and 12 months after treatment using the same equipment and methods before treatment. The BCVA, LVCT, CRT, SFCT, PED height, CVI, interretinal or subretinal fluid, lesion regression rate, injection times, and complications during and after treatment were observed. The BCVA, SFCT, CRT, LVCT, PED height and CVI before and after treatment were compared by repeated measures analysis of variance. ResultsEighteen eyes received subretinal and/or intravitreal injection of Aflibercept (1.61±0.85) times (1-4 times). At the last follow-up, the polypoid lesions regressed in 4 eyes and PED disappeared in 1 eye. Compared with before treatment, BCVA (F=50.298) gradually increased, CRT (F=25.220), PED height (F=144.16), SFCT (F=69.77), LVCT (F=136.69), CVI (F=72.70) gradually decreased after treatment. The differences were statistically significant (P＜0.001). Macular hole occurred in 1 eye after treatment, and the hole closed spontaneously 3 months after treatment. No serious complications such as retinal tear, retinal detachment, endophthalmitis and vitreous hemorrhage occurred during and after treatment. ConclusionSubretinal injection of Aflibercept is safe and effective in the treatment of refractory PCV.
ObjectiveTo summarize the application of radiomics in colorectal cancer.MethodsRelevant literatures about the therapeutic decision-making, therapeutic, and prognostic evaluation of colorectal cancer using radiomics were collected to make an review.ResultsRadiomics is of great value in preoperative stages, therapeutic, and prognostic evaluation in colorectal cancer.ConclusionRadiomics is an important part of precision medical imaging for colorectal cancer.
This study systematically explores the assessment tools for balance function in elderly patients after total hip arthroplasty and their clinical applications, while also envisioning future trends toward multidimensional integration and intelligent development. By summarizing the commonly used subjective and objective assessment in clinical practice and analyzing the application of these methods in preoperative prehabilitation and postoperative rehabilitation monitoring for elderly total hip arthroplasty patients, this article proposes that future efforts should focus on promoting the integration of subjective and objective assessment, developing intelligent predictive models, and establishing closed-loop rehabilitation systems to enhance the precision and effectiveness of assessment and rehabilitation.
Transjugular intrahepatic portosystemic shunt (TIPS) has become a standard therapy for complications of portal hypertension. The key to maximizing the therapeutic efficacy of TIPS lies in balancing the reduction of portal hypertension-related complications (such as rebleeding and ascites) against the risk of complications from excessive shunting (such as hepatic encephalopathy and liver function deterioration). Given the significant heterogeneity among patients, including the etiology of cirrhosis, hepatic reserve function, and comorbidities, traditional “one-size-fits-all” shunting strategy has proven insufficient. Therefore, the concept of individualized planning for intrahepatic portosystemic shunts has emerged. This strategy aims to achieve personalized and precise shunting through careful patient selection, optimized hemodynamic target setting, controlled shunt diameter, and integrated adjuvant therapies.
The diagnostic and therapeutic paradigm for lower extremity arteriosclerosis obliterans (ASO) is undergoing a fundamental shift from conventional morphology-based assessment toward functional evaluation and predictive medicine. Numerical simulation techniques that integrate computational fluid dynamics (CFD) and finite element analysis (FEA), grounded in patient-specific imaging data, have emerged as a central driving force of this transformation. This review systematically elucidates how these approaches enable the construction of vascular “digital twins” to achieve precise quantification of the hemodynamic environment associated with ASO lesions, virtual monitoring of disease progression, and preoperative optimization of therapeutic strategies. Particular emphasis is placed on the critical role of numerical simulation in supporting clinical decision-making, such as evaluating the necessity of interventional treatment and predicting the mechanical responses of endovascular devices. Furthermore, the potential, current challenges, and future directions of numerical simulation in advancing personalized and precision management of ASO are comprehensively discussed.
Along with the popularity of low-dose computed tomography lung cancer screening, an increasing number of early-stage lung cancers are detected. Radical lobectomy with systematic nodal dissection (SND) remains the standard-of-care for operable lung cancer patients. However, whether SND should be performed on non-metastatic lymph nodes remains controversy. Unnecessary lymph node dissection can increase the difficulty of surgery while also causing additional surgical damage. In addition, non-metastatic lymph nodes have been recently reported to play a key role in immunotherapy. How to reduce the surgical damage of mediastinal lymph node dissection for early-stage lung cancer patients is pivotal for modern concept of "minimally invasive surgery for lung cancer 3.0". The selective mediastinal lymph node dissection strategy aims to dissect lymph nodes with tumor metastasis while preserving normal mediastinal lymph nodes. Previous studies have shown that combination of specific tumor segment site, radiology and intraoperative frozen pathology characteristics can accurately predict the pattern of mediastinal lymph node metastasis. The personalized selective mediastinal lymph node dissection strategy formed from this has been successfully validated in a recent prospective clinical trial, providing an important basis for early-stage lung cancer patients to receive more personalized selective lymph node dissection with "precision surgery" strategies.
ObjectiveTo review and evaluate the research progress of the robot-assisted joint arthroplasty.MethodsThe domestic and foreign related research literature on robot-assisted joint arthroplasty was extensively consulted. The advantages, disadvantages, effectiveness, and future prospects were mainly reviewed and summarized.ResultsThe widely recognized advantages of robot-assisted joint arthroplasty are digital and intelligent preoperative planning, accurate intraoperative prosthesis implantation, and quantitative soft tissue balance, as well as good postoperative imaging prosthesis position and alignment. However, the advantages of effectiveness are still controversial. The main disadvantages of robot-assisted joint arthroplasty are the high price of the robot system, the prolonged operation time, and the increased radioactive damage of the imaging-dependent system.ConclusionCompared to traditional arthroplasty, robot-assisted joint arthroplasty can improve the accuracy of the prosthesis position and assist in the quantitative assessment of soft tissue tension, and the repeatability rate is high. In the future, further research is needed to evaluate the clinical function and survival rate of the prosthesis, as well as to optimize the robot system.
Sepsis is a critical condition. The key factor affecting the survival of patient is whether standard treatment can be obtained timely. Because of the complexity of its pathogenesis and high heterogeneity, there is no special diagnosis method currently. Early identification is difficult. Delayed diagnosis and treatment is closely related to the mortality of patients. With the continuous updating of the guidelines, sepsis has been included in the “time window” disease, putting forward a great challenge to the early screening and evaluation of sepsis. This article aims to review the application of Sepsis-Related Organ Failure Assessment, sepsis biomarkers and artificial intelligence algorithms in early screening and evaluation of sepsis, so as to provide guidance tools for timely starting standardized treatment of sepsis.
Lung cancer is one of the leading causes of cancer deaths worldwide. Many options including surgery, radiotherapy, chemotherapy, targeted therapy and immunotherapy have been applied in the treatment for lung cancer patients. However, how to develop individualized treatment plans for patients and accurately determine the prognosis of patients is still a very difficult clinical problem. In recent years, radiomics, as an emerging method for medical image analysis, has gradually received the attention from researchers. It is based on the assumption that medical images contain a vast amount of biological information about patients that is difficult to identify with naked eyes but can be accessed by computer. One of the most common uses of radiomics is the diagnosis and treatment of non-small cell lung cancer (NSCLC). In this review, we reviewed the current researches on chest CT-based radiomics in the diagnosis and treatment of NSCLC and provided a brief summary of the current state of research in this field, covering various aspects of qualitative diagnosis, efficacy prediction, and prognostic analysis of lung cancer. We also briefly described the main current technical limitations of this technology with the aim of gaining a broader understanding of its potential role in the diagnosis and treatment of NSCLC and advancing its development as a tool for individualized management of NSCLC patients.
