Angiosarcoma is a rare, aggressive subtype of soft-tissue sarcoma with a propensity for local recurrence and metastasis associated with a generally poor prognosis, unless diagnosed early. Given the vascular endothelial cell origin of angiosarcoma, tumours may develop in essentially any organ; however, there is a predilection for the skin where half of all tumours arise, increasing in prevalence with age. The most common risk factors are chronic lymphoedema and history of radiation. We review the most important radiological findings along the spectrum of angiosarcoma from head to toe throughout the body, including uncommon and rare locations. Key imaging features of angiosarcoma across multiple organ systems will be described, as well as the impact on management and prognosis.
This case series demonstrates an excellent pathological response to neoadjuvant checkpoint inhibitor (CPI) therapy in patients with mismatch repair-deficient (dMMR) colorectal cancer, which has translated into exemplary short-term oncological outcomes. As well as validating the utility of neoadjuvant CPI therapy in dMMR colorectal cancer, it also opens the door to future study of limited resection in patients with tumours that would otherwise require multivisceral resection.
To perform a meta-analysis comparing the diagnostic performance of increased signal intensity on T1-and T2-weighted magnetic resonance images and apparent diffusion coefficient (ADC) values in differentiating uterine leiomyosarcoma (LMS) from benign leiomyoma (LM). Methods: A systematic literature search for original studies was performed using PubMed/MEDLINE, the Cochrane Library, Embase, and Web of Science. Data necessary for the meta-analysis was extracted from the selected articles and analyzed. Results: Eight studies with 795 patients met our predefined inclusion criteria and were included in the analysis. Increased signal on T1-weighted imaging had a pooled sensitivity of 56.8% (95% CI: 20%-87.4%) for LMS (n = 60) which was significantly higher than 7.6% (95% CI: 2.2%-22.7%) for LM (n = 1272) (p = 0.0094). Increased signal analysis on T2-weighted imaging had a pooled sensitivities of 93.2% and 93.2% (95% CI: 45.7%-99.6% and 42.9%-99.6%) for LMS (n = 90), which were not significantly different from the 54.5% and 53.9% (95% CI: 33.6%-74%, 32%-74%) for LM (n = 215) (p = 0.102 and 0.112). On ADC value analysis, LMS (n = 43) had a weighted mean and standard deviation of 0.896 ± 0.19 10-3 mm 2 /s, 0.929 ± 0.182 10-3 mm 2 /s, which were significantly lower from 1.258 ± 0.303 10-3 mm 2 /s, 1.304 ± 0.303 10-3 mm 2 /s for LM (n = 159) (p = < 0.0001, < 0.0001). Conclusion: Our meta-analysis demonstrated that high signal intensity on T1-weighted images and low ADC values can accurately differentiate LMS from LM. Although, LMS had a higher pooled sensitivity for T2-weighted increased signal intensity compared to LM, there was no statistical significance.
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