Virtual reality-based training and pre-operative planning for head and neck sentinel lymph node biopsy.

OBJECTIVE: Sentinel lymph node biopsy (SLNB) is crucial for managing head and neck skin cancer. However, variable lymphatic drainage can complicate SLN detection when using Single-Photon Emission Computed Tomography (SPECT) or lymphoscintigraphy. Virtual Reality (VR) can contribute to pre-operative planning by simulating a realistic 3D model, which improves orientation. VR can also facilitate real-patient training outside the operating room. This study explored using a VR platform for pre-operative planning in head and neck skin cancer patients undergoing SLNBs and assessed its value for residential training. MATERIALS AND METHODS: In this prospective technology pilot study, attending surgeons and residents who performed 21 SLNB operations on patients with head and neck skin cancers (81% males, mean age 69.2 ± 11.3) used a VR simulation model based on each patient's pre-operative SPECT scan to examine patient-specific anatomy. After surgery, they completed a questionnaire on the efficiency of the VR simulation as a pre-operative planning tool and training device for residents. RESULTS: The attending surgeons rated the VR model's accuracy at 8.3 ± 1.6 out of 10. Three-quarters (76%) of residents reported increased confidence after using VR. The physicians rated the platform's contribution to residents' training at 7.4 ± 2.1 to 8.9 ± 1.3 out of 10. CONCLUSION: A VR SLNB simulation can accurately portray marked sentinel lymph nodes. It was rated high as a surgical planning and teaching tool among attending surgeons and residents alike and may play a role in pre-operative planning and resident training. Further studies are needed to explore its applications in practice.

Associations Between Psycho-Social-Spiritual Interventions, Fewer Aggressive End-of-Life Measures, and Increased Time After Final Oncologic Treatment.

BACKGROUND: Little is known about the impact of spiritual caregivers, psychologists, and social workers on desired end-of-life (EoL) medical outcomes, such as reduced use of aggressive care in the final 2 weeks of life, having more time between the last active oncological treatment and death, and increased hospice use. PATIENTS AND METHODS: We conducted a prospective study of 180 patients with cancer and their families, their interactions with social work, psychology, and spiritual care, and the above three treatment outcomes. RESULTS: We found that having one or more spiritual care visits (adjusted odds ratio (AOR) = 2.02; P = .04), having more quality visits with the psychologist (P = .01), and speaking with someone about one's inner resources (AOR = 2.25; P = .03) all correlated with reduced EoL aggressive care. The key interventions correlating with increased time after final treatment were more visits with the spiritual caregiver or the social worker (AOR = 1.30; P < .001), and speaking about the medical treatment (AOR = 1.54; P < .001) and about interpersonal relationships (AOR = 2.28; P < .001). A subjectively good-quality connection with the spiritual caregiver correlated with increased hospice use (AOR = 10.00; P = .01). CONCLUSIONS: Patients with cancer who availed themselves of the spiritual care, psychology, and social work services, each profession in distinct ways, had significantly different outcomes in their EoL medical treatment, including undergoing fewer futile aggressive measures, having more time after their last active treatment, and using hospice services more. These outcomes directly bear on improved quality of life and reduced costs.

Proof of concept: Comparative accuracy of semiautomated VR modeling for volumetric analysis of the heart ventricles.

Introduction: Simpson's rule is generally used to estimate cardiac volumes. By contrast, modern methods such as Virtual Reality (VR) utilize mesh modeling to present the object's surface spatial structure, thus enabling intricate volumetric calculations. In this study, two types of semiautomated VR models for cardiac volumetric analysis were compared to the standard Philips dedicated cardiac imaging platform (PDP) which is based on Simpson's rule calculations. Methods: This retrospective report examined the cardiac computed tomography angiography (CCTA) of twenty patients with atrial fibrillation obtained prior to a left atrial appendage occlusion procedure. We employed two VR models to evaluate each CCTA and compared them to the PDP: a VR model with Philips-similar segmentations (VR-PS) that included the trabeculae and the papillary muscles within the luminal volume, and a VR model that only included the inner blood pool (VR-IBP). Results: Comparison of the VR-PS and the PDP left ventricle (LV) volumes demonstrated excellent correlation with a ρ c of 0.983 (95% CI 0.96, 0.99), and a small mean difference and range. The calculated volumes of the right ventricle (RV) had a somewhat lower correlation of 0.89 (95% CI 0.781, 0.95), a small mean difference, and a broader range. The VR-IBP chamber size estimations were significantly smaller than the estimates based on the PDP. Discussion: Simpson's rule and polygon summation algorithms produce similar results in normal morphological LVs. However, this correlation failed to emerge when applied to RVs and irregular chambers. Conclusions: The findings suggest that the polygon summation method is preferable for RV and irregular LV volume and function calculations.