Synovial sarcomas commonly occur in the soft tissue of the extremities, while a primary occurrence in the mediastinum is quite rare. The current study reports the case of an 11-year-old male who presented with a neck mass, which computed tomography showed was due to a giant mediastinal mass involving the thyroid gland. The tumor was resected by thoracotomy and diagnosed as monophasic synovial sarcoma by histopathology. The patient received adjuvant combination chemotherapy and radiation therapy following surgery. At the 3-month follow-up, no local tumor recurrence was found. The present case report highlights the significance of recognizing the unusual presentation and clinical manifestation of synovial sarcoma to aid clinical management. Written informed consent was obtained from the patient’s family.
BACKGROUND/OBJECTIVES: Malnutrition has multiple impacts on surgical success, postoperative complications, duration of hospital stay, and costs, particularly for cancer patients. There are various nutrition risk screening tools available for clinical use. Herein, we aim to determine the most appropriate nutritional risk screening system for esophageal cancer (EC) patients in China. SUBJECTS/METHODS: In total, 138 EC patients were enrolled in this study and evaluated by experienced nurses using three different nutritional screening tools, the Nutrition Risk Screening 2002 tool (NRS2002), the Patient-generated Subjective Globe Assessment (PG-SGA), and the Nutrition Risk Index (NRI).We compared sensitivity, specificity, positive and negative likelihood ratios, and Youden index generated by each of the three screening tools. Finally, cutoff points for all three tools were redefined to optimize and validate the best nutritional risk screening tool for assessing EC patients. RESULTS: Our data suggested that all three screening tools were 100% sensitive for EC patients, while the specificities were 44.4%, 2.96%, and 59.26% for NRS 2002, PG-SGA, and NRI, respectively. NRI had a higher positive likelihood ratio as well as a higher area under the receiver operating characteristic curve compared to those of NRS 2002 and PG-SGA; although, all three tools had null negative likelihood ratios. After adjusting the cutoff points, the specificity and accuracy for all tools were significantly improved, however, the NRI remained the most appropriate nutritional risk screening system for EC patients. CONCLUSIONS: The NRI is the most suitable (highest sensitivity and accuracy) nutritional risk screening tool for EC patients. The performance of the NRI can be significantly improved if the cutoff point is modified according to the results obtained using MedCalc software.
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