Recurrent parosteal sarcomas with vascular involvement are rare and present unique challenges in their diagnosis and management. We report the case of a 21-year-old woman with parosteal osteosarcoma of the left distal femur, encasing the popliteal vessels. En bloc transarticular resection of the distal femur and popliteal vessels was performed, followed by reconstruction using a modular prosthesis and a saphenous vein autograft for both the artery and vein. On the 1st postoperative day, the patient developed an arterial thrombus requiring reintervention with a jump polytetrafluoroethylene (PTFE) graft. Histopathology confirmed parosteal osteosarcoma.After a disease-free survival of 41 months, the patient experienced local recurrence involving the PTFE graft, leading to graft compression, erosion, and subsequent thrombosis. Despite these complications, limb salvage was possible due to adequate collateral blood supply. This case highlights the feasibility of limb salvage surgery in select cases of parosteal osteosarcoma with vascular involvement.

OBJECTIVES: Prompt detection is a cornerstone in the control and prevention of infectious diseases. The Integrated Disease Surveillance Project of India identifies outbreaks, but it does not exactly predict outbreaks. This study was conducted to assess temporal correlation between Google Trends and Integrated Disease Surveillance Programme (IDSP) data and to determine the feasibility of using Google Trends for the prediction of outbreaks or epidemics. METHODS: The Google search queries related to malaria, dengue fever, chikungunya, and enteric fever for Chandigarh union territory and Haryana state of India in 2016 were extracted and compared with presumptive form data of the IDSP. Spearman correlation and scatter plots were used to depict the statistical relationship between the two datasets. Time trend plots were constructed to assess the correlation between Google search trends and disease notification under the IDSP RESULTS: Temporal correlation was observed between the IDSP reporting and Google search trends. Time series analysis of the Google Trends showed strong correlation with the IDSP data with a lag of −2 to −3 weeks for chikungunya and dengue fever in Chandigarh (r > 0.80) and Haryana (r > 0.70). Malaria and enteric fever showed a lag period of −2 to −3 weeks with moderate correlation. CONCLUSIONS: Similar results were obtained when applying the results of previous studies to specific diseases, and it is considered that many other diseases should be studied at the national and sub-national levels.
Communicable Diseases ; Dataset ; Dengue ; Disease Notification ; Disease Outbreaks* ; Epidemiological Monitoring ; India* ; Malaria ; Public Health Surveillance ; Typhoid Fever