Efficacy and Cost-Benefit Analysis of Magnetic Resonance Imaging in the Follow-Up of Soft Tissue Sarcomas of the Extremities and Trunk

Direct Costs of Care for Adults with Soft Tissue Sarcomas: A Population-Based Study

Simple Summary

This observational study provides a useful estimate of the cost of clinical pathways for soft tissue sarcoma at population level. Analyzing the drivers of the costs of a given illness emerging from these data could support the development of dynamic models for assessing cost-effectiveness based on real-world observations.

Abstract

The clinical treatment of soft tissue sarcoma (STS) has evolved substantially over the last decade. This population-based cohort study based on real-world data included all incidental STS recorded by the Veneto Cancer Registry in 2017. Data on hospital admissions, emergency department and outpatient visits, drug prescriptions, and use of medical devices within two years from STS diagnosis were obtained from administrative databases. The average per-patient real-world costs over this two-year period, in total and by single expenditure item, were calculated and stratified by stage of disease at diagnosis, tumor histology and tumor site. The mean total cost per patient amounted to EUR 16,793. A higher TNM stage at diagnosis was associated with higher healthcare costs, as follows: compared with stage I, the average total cost per patient was 1.32, 2.18 and 3.36 times greater for stages II, III and IV, respectively. Hospital stays generated the greatest costs (averaging EUR 7950 per patient), followed by outpatient visits (mean EUR 3947 per patient) and drug prescriptions (mean EUR 3664 per patient). Given the paucity of population-based studies, the present results can serve as a reference for further cost-effectiveness analyses on care strategies for patients with STS.

Diagnostic performance of MRI in detecting locally recurrent soft tissue sarcoma: systematic review and meta-analysis

OBJECTIVE

To systematically review the diagnostic criteria and performance of MRI in detecting locally recurrent soft tissue sarcoma.

METHODS

Medline and Embase were searched for original studies on the diagnostic performance of MRI detecting locally recurrent soft tissue sarcoma. Study quality was assessed using QUADAS-2. Sensitivity and specificity were pooled using a bivariate random-effects model.

RESULTS

Ten studies were included. There was a high risk of bias with respect to patient selection in 2 studies and a high risk of bias with respect to flow and timing in 8 studies. The presence of a mass yielded a pooled sensitivity of 80.9% and a pooled specificity of 77.0%. Hyperintensity at T2-weighted imaging yielded a pooled sensitivity of 82.4% and a pooled specificity of 11.0%. Hypo- or isointensity at T1-weighted imaging yielded a pooled sensitivity of 82.0% and a pooled specificity of 14.3%. Contrast enhancement images yielded a pooled sensitivity of 95.9% and a pooled specificity of 12.3%. Low signal mass on the apparent diffusion coefficient (ADC) map yielded a pooled sensitivity of 67.5% and a pooled specificity of 95.3%. Early and rapid arterial phase enhancement at dynamic contrast-enhanced (DCE) MRI yielded a pooled sensitivity of 91.3% and a pooled specificity of 84.7%.

CONCLUSION

The presence of a mass appears a useful criterion to diagnose locally recurrent soft tissue sarcoma. Signal characteristics at standard T2- and T1-weighted imaging and contrast enhancement seem less useful because they lack specificity. Functional MRI techniques, including DWI with ADC mapping and DCE, may help to make a correct diagnosis.

KEY POINTS

• The presence of a mass at MRI appears useful to diagnose locally recurrent soft tissue sarcoma, because both sensitivity and specificity are fairly high. • Signal characteristics at standard T2- and T1-weighted sequences and contrast enhancement suffer from poor specificity. • DWI with ADC mapping and DCE may help to make a correct diagnosis, but further research is needed to better understand the value of these functional MRI techniques.