bims-myxlip 2025-05-25 papers

Issue of 2025–05–25
three papers selected by
Laura Mannarino, Humanitas Research

Med Clin (Barc). 2025 May 15. pii: S0025-7753(25)00222-2. [Epub ahead of print]165(1): 106994

Cardiac metastasis from myxoid liposarcoma.

Óscar Porto Fuentes, Adrián Muinelo Paul.

DOI: https://doi.org/10.1016/j.medcli.2025.106994

Magn Reson Imaging. 2025 May 14. pii: S0730-725X(25)00106-7. [Epub ahead of print]121 110422

Whole-body magnetic resonance imaging in myxoid liposarcoma: Toward a new standard?

Tania Moussa, Tarek Assi, Samy Ammari, Ines Kasraoui, Axel Le Cesne, Corinne Balleyguier.

Myxoid/Round cell liposarcoma (MLPS) is the second most common subtype of liposarcoma (LPS), accounting for approximately 5 % of all soft tissue sarcomas (STS). Unlike other LPS subtypes, MLPS is characterized by a distinct pattern of metastasis, often involving bones and soft tissues rather than the lungs. Skeletal metastasis occurs in a significant proportion of MLPS patients, particularly those with high-grade tumors, making early detection critical for optimal management. While MLPS tumors are known to be highly radiosensitive and chemosensitive, current screening strategies for bone metastases remain suboptimal. Recent advancements in imaging, particularly Whole-body magnetic resonance imaging (WBMRI), offer promising potential for enhancing the detection of both bone and soft tissue metastases in MLPS patients. This article explores the clinical utility of WBMRI in MLPS, reviewing its ability to detect metastatic lesions, discussing various imaging protocols, and highlighting supporting data from recent studies. The paper emphasizes the role of WBMRI in improving disease staging, thereby guiding more personalized therapeutic strategies for MLPS patients.

Keywords: BONE; Liposarcoma; Magnetic resonance imaging; Myxoid; Saroma; Skeletal metastasis; Soft tissues; Whole-body MRI

DOI: https://doi.org/10.1016/j.mri.2025.110422

Acta Radiol. 2025 May 21. 2841851251337861

Magnetic resonance imaging assessing the correlation of components and prognosis in myxoid liposarcoma.

Jianjun Hua, Wenting Yang, Angcheng Li, Sisis Wang, Mingliang Ying.

BackgroundMyxoid liposarcoma (MLS) is a subtype of liposarcoma characterized by its myxoid stroma and adipocyte differentiation. MLS is prone to recurrence and metastasis. Magnetic resonance imaging (MRI) plays a crucial role in evaluating tumor characteristics, enabling accurate diagnosis, and predicting patient prognosis.PurposeTo analyze the components of MLS by MRI features and assess their correlation with prognosis.Material and MethodsA total of 20 patients with MLS who underwent MRI were retrospectively included. Tumor components were analyzed by MRI features, and their prognostic correlation was assessed. Patients were divided into good and poor prognosis groups based on postoperative follow-up.ResultsThe proportions of non-fatty/non-myxoid components in the good and poor prognosis groups were 15.00% (range = 10.00%-20.00%) and 70.00% (range = 52.50%-77.50%), respectively (P < 0.001). The proportion of myxoid composition also differed significantly between the two groups (75.00%, [range = 65.00%-85.00%] vs. 25.00% [range = 17.50%-42.50%]; P < 0.001). The good prognosis group had a greater mean apparent diffusion coefficient (ADC) value (1.66 ± 0.23 × 10-3 mm2/s) and a lower mean ADC low signal ratio (5.00% [range = 0%-10.00%]) in the non-fatty/non-myxoid areas than the poor group (1.21 ± 0.41 × 10-3 mm2/s; 20.00% [range = 11.00%-39.00%]; P = 0.006 and P = 0.001). The differences in the percentages of patients with a component ratio <25% and >50% in both the non-fatty/non-myxoid and myxoid groups were significant (P < 0.001 and P = 0.005).ConclusionImaging features were closely associated with the histological components of MLS. The use of MRI features for assessing MLS components has important implications for prognostic prediction.

Keywords: Myxoid liposarcoma; magnetic resonance imaging; prognosis; proportion of tumor components

DOI: https://doi.org/10.1177/02841851251337861