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- Talk
- 21/09/2022
- UK
Pathologic Evaluation Nomogram of Soft Tissue Sarcoma Resection Following Neoadjuvant Radiotherapy: A 14-Year Single Centre Retrospective Study
Description
This presentation, delivered by Zhengxiao Ouyang, discusses a research study focused on the pathological evaluation of soft tissue sarcoma in patients who received pre-operative radiotherapy. Ouyang begins by highlighting the significance of assessing treatment effects, acknowledging the long-term toxicity associated with preoperative radiotherapy while also noting the opportunity it provides for evaluation. The presentation references the lack of standardized assessment in soft tissue sarcoma, contrasting it with established methods for osteosarcoma and Ewing sarcoma, which utilize necrosis rates as predictors.
In 2016, a response score for soft tissue sarcoma was proposed but found to be non-prognostic by 2017, leading to new studies advocating for the use of necrosis hybridization to understand treatment effects better. The research involves retrospective assessment of pathological characteristics such as hyalinization, inflammatory infiltrate, cytoplasmic effect, mitotic count, and necrosis rate collected from both biopsy and surgical samples.
The data reveals that five-year overall survival and disease-free survival rates stand at 70.3% and 52.9%, respectively, aligning with results from randomized control studies. Ouyang also discusses the discovery that combining parameters, particularly mitotic rates, increases predictive accuracy for survival outcomes. A nomogram designed from mitotic rates was constructed, assisting in predicting disease-free survival, exhibiting significant independent predictive factors, including tumor size and volume.
Concluding the presentation, Ouyang reiterates the importance of mitotic count as a promising predictor for the pathological evaluation of soft tissue sarcoma treated with preoperative radiotherapy. The talk concludes with an affirmation that while mitotic count could serve as a notable tumor response indicator, the nomogram provides a useful evaluation tool for individual patient assessment. The presentation closes with applause.