ReviewRadiologie (Heidelberg, Germany)2026
[Imaging of visceral, retroperitoneal, and pelvic soft-tissue sarcomas : Review].
Review in Radiologie (Heidelberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Authors and funding
6 authors.
Funding
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Abstract
backgroundAbdominal and retroperitoneal sarcomas are rare but prognostically relevant tumors that pose significant diagnostic challenges due to their size and proximity to critical anatomical structures. Cross-sectional imaging is crucial for detection, characterization, staging, and treatment planning.
objectiveTo present the current standards of cross-sectional imaging and to convey relevant aspects for radiological assessment based on established guidelines.
methodsSummary of the morphological characteristics, recommendations for imaging and resectability criteria based on current guidelines and published literature.
resultsMagnetic resonance imaging (MRI) and computed tomography (CT) are indispensable for the assessment of abdominal and retroperitoneal sarcomas, especially with regard to organ and vessel relationships. MRI offers significant advantages over CT in the pelvis and for functional analysis. Typical patterns such as fat content, dedifferentiated areas, or infiltration support entity assessment and therapy planning.
conclusionStandardized, guideline-based imaging is essential for diagnosis, treatment planning, and follow-up care and should be performed in interdisciplinary sarcoma centers.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.