The diagnosis of leiomyosarcoma (LMS) presents significant challenges due to overlapping features with other mesenchymal tumors, particularly leiomyomas. A study by Alves-Vale proposed an immunohistochemical algorithm aimed at differentiating LMS from leiomyomas with bizarre nuclei (LM-BN) and fumarate hydratase-deficient leiomyomas (FH-LM). This algorithm leverages the genomic landscape of these tumors to enhance diagnostic accuracy, addressing the complexities that arise from the histological similarities between these entities (ref: Alves-Vale doi.org/10.1111/his.15420/). In another investigation, Zhang utilized contrast-enhanced endoscopic ultrasonography (CE-EUS) to identify a 7 cm mass in the inferior vena cava (IVC), demonstrating that CE-EUS can effectively reveal hypoechoic lesions indicative of LMS, thus providing a non-invasive diagnostic tool (ref: Zhang doi.org/10.1055/a-2534-3191/). Xu further corroborated these findings by analyzing imaging features of IVC LMS, reporting that a heterogeneous mass with progressive enhancement on contrast-enhanced CT scans was a strong indicator of the disease, with 61.9% of patients exhibiting these characteristics (ref: Xu doi.org/10.3389/fonc.2025.1442674/). Together, these studies underscore the importance of advanced imaging techniques and immunohistochemical strategies in the accurate diagnosis of LMS.