RESUMEN
CASE: Rotationplasty is a surgical procedure used for restoring functionality after skeletal tumor resection. Multiple complications have been described, including the potential occurrence of fractures. Literature on fracture management after rotationplasty is limited. In this article, we present 2 cases of late ipsilateral fractures in rotated limbs successfully treated with intramedullary nailing. CONCLUSION: Effective management of fractures after rotationplasty requires thorough understanding of the rotated limb anatomy and careful planning. The clinical considerations presented in this article aim to provide guidance for surgeons to achieve successful outcomes in the management of fractures after rotationplasty.
Asunto(s)
Neoplasias Femorales , Fracturas Óseas , Humanos , Neoplasias Femorales/cirugía , Fracturas Óseas/cirugía , Recuperación del Miembro/métodos , ReoperaciónRESUMEN
Dedifferentiated liposarcoma (DDLS) is an aggressive, recurring sarcoma with limited treatments. T-cell immunotherapies selectively target malignant cells, holding promise against DDLS. The development of successful immunotherapy for DDLS requires a thorough evaluation of the tumor immune microenvironment and the identification and characterization of targetable immunogenic tumor antigens. To assess the complexity of the human DDLS tumor immune microenvironment and to identify target antigens, we used the nCounter NanoString platform, analyzing gene expression profiles across 29 DDLS and 10 healthy adipose tissue samples. Hierarchical clustering of tumors based on expression of tumor inflammation signature genes revealed two distinct groups, consisting of 15 inflamed tumors and 14 non-inflamed tumors, demonstrating tumor heterogeneity within this sarcoma subtype. Among the identified antigens, PBK and TTK exhibited substantial upregulation in mRNA expression compared to healthy adipose tissue controls, further corroborated by positive protein expression by IHC. This data shows considerable inter-tumoral heterogeneity of inflammation, which should be taken into consideration when designing an immunotherapy for DDLS, and provides a novel targetable antigen in DDLS. The results of this study lay the groundwork for the development of a novel immunotherapy for this highly aggressive sarcoma.
Asunto(s)
Antígenos de Neoplasias , Inmunoterapia , Liposarcoma , Humanos , Liposarcoma/inmunología , Liposarcoma/genética , Liposarcoma/terapia , Liposarcoma/patología , Inmunoterapia/métodos , Antígenos de Neoplasias/inmunología , Antígenos de Neoplasias/genética , Masculino , Femenino , Persona de Mediana Edad , Anciano , Microambiente Tumoral/inmunología , Perfilación de la Expresión Génica , Regulación Neoplásica de la Expresión Génica , AdultoRESUMEN
The aim of this study was to validate a novel medical virtual reality (VR) platform used for medical image segmentation and contouring in radiation oncology and 3D anatomical modeling and simulation for planning medical interventions, including surgery. The first step of the validation was to verify quantitatively and qualitatively that the VR platform can produce substantially equivalent 3D anatomical models, image contours, and measurements to those generated with existing commercial platforms. To achieve this, a total of eight image sets and 18 structures were segmented using both VR and reference commercial platforms. The image sets were chosen to cover a broad range of scanner manufacturers, modalities, and voxel dimensions. The second step consisted of evaluating whether the VR platform could provide efficiency improvements for target delineation in radiation oncology planning. To assess this, the image sets for five pediatric patients with resected standard-risk medulloblastoma were used to contour target volumes in support of treatment planning of craniospinal irradiation, requiring complete inclusion of the entire cerebral-spinal volume. Structures generated in the VR and the commercial platforms were found to have a high degree of similarity, with dice similarity coefficient ranging from 0.963 to 0.985 for high-resolution images and 0.920 to 0.990 for lower resolution images. Volume, cross-sectional area, and length measurements were also found to be in agreement with reference values derived from a commercial system, with length measurements having a maximum difference of 0.22 mm, angle measurements having a maximum difference of 0.04°, and cross-sectional area measurements having a maximum difference of 0.16 mm2. The VR platform was also found to yield significant efficiency improvements, reducing the time required to delineate complex cranial and spinal target volumes by an average of 50% or 29 min.