Application of 3D modeling and fusion technology of medical image data in image teaching

Efficacy of minimally invasive soft-channel drainage for chronic subdural hematoma utilizing 3D slicer: a retrospective comparative analysis

BACKGROUND

The main surgical interventions for chronic subdural hematoma (CSDH) include craniotomy for hematoma evacuation, neuroendoscopic hematoma evacuation, and burr hole drainage.However, elderly patients often present with significant comorbidities, which limit their ability to tolerate general anesthesia and invasive surgical procedures.Minimally invasive soft-channel drainage under local anesthesia has emerged as a viable alternative, particularly suitable for elderly patients or those with high surgical risk.This study aims to evaluate the clinical outcomes and complication rates of minimally invasive soft-channel drainage assisted by 3D Slicer software for the treatment of CSDH. It also aims to provide new clinical evidence to help improve and optimize treatment protocols for this condition.

METHODS

A retrospective analysis was conducted involving 83 patients with CSDH treated in our department between January 2021 and December 2023. Patients were categorized into two groups based on the surgical intervention: the control group (burr-hole drainage, n = 42) and the intervention group (minimally invasive soft-channel drainage, n = 41).Baseline characteristics, anesthesia methods, perioperative metrics, and complications were compared. Clinical outcomes were evaluated using the Barthel Index and the modified Rankin Scale (mRS) preoperatively and three months postoperatively.

RESULTS

The drainage retention duration, operative time, and hospitalization period in the intervention group were significantly reduced compared to the control group, with reduced intraoperative blood loss (all P < 0.05). There was no significant difference in residual hematoma volume between the groups on postoperative day one (P > 0.05). The incidence of postoperative complications, including pulmonary infection, recurrent subdural hemorrhage, cerebrospinal fluid leakage, and intracranial pneumatosis, was significantly lower in the intervention group compared to the control group (all P < 0.05). No intracranial infections were observed in either group, and there was no statistically significant difference in hematoma recurrence rates (P > 0.05). Similarly, no significant differences were observed in the preoperative and three-month postoperative Barthel Index and mRS scores between groups (all P > 0.05). However, both groups demonstrated significant improvement in mRS and Barthel Index scores at three months postoperatively compared to preoperative levels(all P < 0.001).

CONCLUSION

Both minimally invasive soft-channel drainage assisted by 3D Slicer and burr-hole drainage are safe and effective interventions for CSDH. Nevertheless, the minimally invasive approach provides significant benefits in terms of reducing intraoperative blood loss, shortening operative time, minimizing surgical trauma, and reducing the rate of complications. This approach is only advantageous for patients with well-liquefied hematomas and those with relative contraindications to general anesthesia.

What works in radiology education for medical students: a systematic review and meta-analysis

BACKGROUND

Medical imaging related knowledge and skills are widely used in clinical practice. However, radiology teaching methods and resultant knowledge among medical students and junior doctors is variable. A systematic review and meta-analysis was performed to compare the impact of different components of radiology teaching methods (active versus passive teaching, eLearning versus traditional face-to-face teaching) on radiology knowledge / skills of medical students.

METHODS

PubMed and Scopus databases were searched for articles published in English over a 15-year period ending in June 2021 quantitatively comparing the effectiveness of undergraduate medical radiology education programs regarding acquisition of knowledge and/or skills. Study quality was appraised by the Medical Education Research Study Quality Instrument (MERSQI) scoring and analyses performed to assess for risk of bias. A random effects meta-analysis was performed to pool weighted effect sizes across studies and I2 statistics quantified heterogeneity. A meta-regression analysis was performed to assess for sources of heterogeneity.

RESULTS

From 3,052 articles, 40 articles involving 6,242 medical students met inclusion criteria. Median MERSQI score of the included articles was 13 out of 18 possible with moderate degree of heterogeneity (I2 = 93.42%). Thematic analysis suggests trends toward synergisms between radiology and anatomy teaching, active learning producing superior knowledge gains compared with passive learning and eLearning producing equivalent learning gains to face-to-face teaching. No significant differences were detected in the effectiveness of methods of radiology education. However, when considered with the thematic analysis, eLearning is at least equivalent to traditional face-to-face teaching and could be synergistic.

CONCLUSIONS

Studies of educational interventions are inherently heterogeneous and contextual, typically tailored to specific groups of students. Thus, we could not draw definitive conclusion about effectiveness of the various radiology education interventions based on the currently available data. Better standardisation in the design and implementation of radiology educational interventions and design of radiology education research are needed to understand aspects of educational design and delivery that are optimal for learning.

TRIAL REGISTRATION

Prospero registration number CRD42022298607.

Exploring the Application of the Artificial-Intelligence-Integrated Platform 3D Slicer in Medical Imaging Education

Artificial Intelligence (AI) has revolutionized medical imaging procedures, specifically with regard to image segmentation, reconstruction, interpretation, and research. 3D Slicer, an open-source medical image analysis platform, has become a valuable tool in medical imaging education due to its integration of various AI applications. Through its open-source architecture, students can gain practical experience with diverse medical images and the latest AI technology, reinforcing their understanding of anatomy and imaging technology while fostering independent learning and clinical reasoning skills. The implementation of this platform improves instruction quality and nurtures skilled professionals who can meet the demands of clinical practice, research institutions, and technology innovation enterprises. AI algorithms' application in medical image processing have facilitated their translation from the lab to practical clinical applications and education.

Objective analysis of facial bone fracture CT images using curvature measurement in a surface mesh model

The human facial skeleton consists of multiple segments and causes difficulty during analytic processes. We developed image analysis software to quantify the amount of injury and validate the smooth curvature of the surface after facial bone reduction surgery. Three-dimensional computed tomography images of facial bone were obtained from 40 patients who had undergone open reduction surgery to treat unilateral zygomaticomaxillary fractures. Analytic software was developed based on the discrete curvature of a triangular mesh model. The discrete curvature values were compared before and after surgery using two regions of interest. For the inferior orbital rim, the weighted average of curvature changed from 0.543 ± 0.034 to 0.458 ± 0.042. For the anterior maxilla, the weighted average of curvature changed from 0.596 ± 0.02 to 0.481 ± 0.031, showing a significant decrement (P < 0.05). The curvature was further compared with the unaffected side using the Bray-Curtis similarity index (BCSI). The BCSI of the inferior orbital rim changed from 0.802 ± 0.041 to 0.904 ± 0.015, and that for the anterior maxilla changed from 0.797 ± 0.029 to 0.84 ± 0.025, demonstrating increased similarity (P < 0.05). In computational biology, adequate analytic software is crucial. The newly developed software demonstrated significant differentiation between pre- and postoperative curvature values. Modification of formulas and software will lead to further advancements.

Effects of CT/MRI Image Fusion on Cerebrovascular Protection, Postoperative Complications, and Limb Functional Recovery in Patients with Anterior and Middle Skull Base Tumors: Based on a Retrospective Cohort Study

Objective. To explore the effect of CT/MRI image fusion on cerebrovascular protection, postoperative complications and limb function recovery in patients with anterior and middle skull base tumors. Methods. During January 2019 to December 2021, a retrospective study was conducted on 50 patients who underwent anterior and middle skull base tumor resection in the same surgeon group in our hospital. According to the different surgical approaches, the patients were assigned to the fusion group (n = 29) and the routine group (n = 21). The routine group was operated with traditional operation, and the fusion group was operated with CT/MRI image fusion technique. The operation time, wound volume, resection rate and Karnofsky performance status (KPS), blood transfusion (vascular protection), tumor resection rate, and postoperative complications were compared. Results. The time of operation in the fusion group was shorter compared to the routine group, and the volume of the wound cavity in the fusion group was smaller compared to the routine group, and the difference was statistically significant ( $P<0.05$ ). Following treatment, the KPS score of the fusion group was remarkably higher compared to the routine group, and the difference was statistically significant ( $P<0.05$ ). The intraoperative blood transfusion rate in the fusion group was 17.24%, and the intraoperative blood transfusion rate in the routine group was 47.62%, and the difference was statistically significant ( $P<0.05$ ). The resection rate in the fusion group (89.66%) was remarkably higher compared to the routine group (61.90%, $P<0.05$ ). The incidence of postoperative complications in the fusion group (6.90%) was remarkably lower compared to the control group (33.33%, $P<0.05$ ). Conclusion. The application of CT/MRI image-fusion technology can effectively enhance the clinical symptoms of patients with tumors in the anterior and middle region of the skull base, which can promote the prognosis, shorten the operation time, reduce unnecessary cerebral neurovascular injuries, and retain more brain functions.