| Literature DB >> 30608407 |
Dongjie Seng1, Junfu Wu2, Qigen Fang2, Fei Liu3.
Abstract
Our goal was to evaluate the prognosis of osteosarcomas (OS) in the mandible for finding out the best treatment.Patients diagnosed with OS in the mandible from January 2000 to December 2015 were retrospectively enrolled. Demographic, tumor-specific, treatment, and survival data were collected and analyzed.A total of 55 patients (35 male and 20 female) were included, all patients had first manifestation of swelling. Cachexia occurred in 15 (27.3%) patients. Chondroblastic type was the most common histology subtype followed by osteoblastic type. High grade tumors were found in 30 (63.6%) patients. 33 (60%) patients received an operation of hemimandibulectomy, and free fibula reconstruction was performed in 20 (36.4%) patients. The 5-year recurrence-free survival (RFS) and disease-specific survival (DSS) rates were 73.6% and 66.9%, respectively. Univariate prognostic analysis reported risk factors of tumor grade, reconstruction type (free fibula flap vs non-free flap), and operation extent were significant for the recurrence, and reconstruction type and operation extent were significant for the disease-specific death, but in multivariate analysis, only the factor of operation extent was significantly associated with both the recurrence and death.A wide excision extent such as hemimandibulectomy is suggested for OS in the mandible for achieving good prognosis.Entities:
Mesh:
Year: 2019 PMID: 30608407 PMCID: PMC6344198 DOI: 10.1097/MD.0000000000013875
Source DB: PubMed Journal: Medicine (Baltimore) ISSN: 0025-7974 Impact factor: 1.889
Comparison of demographic data between survivors and non-survivors∗.
Figure 1Recurrence free survival rate of the patients.
Figure 2Disease specific survival rate of the patients.
Figure 3Recurrence-free survival in patients with different resection extent (P = .013).
Figure 4Disease-specific survival in patients with different resection extent (P = .006).
Univariate and cox model analysis of risk factors for recurrence.
Univariate and cox model analysis of risk factors for death.