Classification of uterine sarcoma and leiomyoma with quantitative CT and dual-energy iodine mapping

PURPOSE: Preoperatively differentiating uterine sarcomas from leiomyomas remains challenging using routine imaging. We evaluated whether quantitative venous-phase CT metrics, such as attenuation profiling and dual-energy CT (DECT) iodine mapping, can aid in discrimination. METHODS: In this retrospective single-center study, cases of women with histopathology-proven leiomyoma or uterine sarcoma who underwent contrast-enhanced abdominopelvic CT (01/2010-01/2025) were included; lesions with dominant macrocalcifications were excluded. On venous-phase CT, ROI-based HU profiles were computed on the slice showing the maximal cross-sectional area of each lesion; the leading profile-derived parameters were the intralesional minimum HU, maximal HU, and the ΔHU (ΔHU = max-min). Reader-consensus values were analyzed. In a DECT subset of 20 cases, readers placed lesion and aortic ROIs to compute normalized iodine concentration (NIC = iodine_lesion/iodine_aorta). RESULTS: 81 patients were analyzed (leiomyoma n = 41, sarcoma n = 40; sarcoma subtypes: LMS n = 15, MMMT/CS n = 10, ESS n = 9, adenosarcoma n = 3, and UUS n = 3). Sarcomas showed lower minimum HU and higher ΔHU than leiomyomas (all p < 0.001), yielding AUC = 0.75 (minimum HU) and AUC = 0.73 (ΔHU). DECT with normalized iodine concentration (NIC) was available in n = 20 (10/10) and was higher in sarcomas, achieving AUC = 0.96 (Youden = 0.733, sensitivity = 0.80, specificity = 1.00). Reliability was good-to-excellent for HU features (ICC = 0.86-0.97) and excellent for iodine metrics (ICC = 0.99-1.00). CONCLUSION: Simple, aorta-normalized CT metrics may capture biologically plausible differences between uterine leiomyomas and sarcomas. In particular, aorta-normalized attenuation features showed fair discriminatory performance in the overall cohort, while DECT-derived NIC showed promising but exploratory performance in a small spectral subset that requires external confirmation.

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Publication Details

Journal
Clinical Imaging
Published
2026-04-01
DOI
https://doi.org/10.1016/j.clinimag.2026.110795
Primary Topic
Advanced X-ray and CT Imaging
Type
article
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article

Classification of uterine sarcoma and leiomyoma with quantitative CT and dual-energy iodine mapping

Lisa C. Adams, Keno K. Bressem, Tristan Lemke, Sebastian Ziegelmayer et al.
Clinical Imaging
Advanced X-ray and CT Imaging
article

Classification of uterine sarcoma and leiomyoma with quantitative CT and dual-energy iodine mapping

Lisa C. Adams, Keno K. Bressem, Tristan Lemke, Sebastian Ziegelmayer, Felix Busch, Jacqueline Lammert, Fabian Lohöfer, Philipp Prucker, Marcus R. Makowski, Jannik Luebberstedt, Markus Graf, Thomas Huber
article en

Abstract

PURPOSE: Preoperatively differentiating uterine sarcomas from leiomyomas remains challenging using routine imaging. We evaluated whether quantitative venous-phase CT metrics, such as attenuation profiling and dual-energy CT (DECT) iodine mapping, can aid in discrimination. METHODS: In this retrospective single-center study, cases of women with histopathology-proven leiomyoma or uterine sarcoma who underwent contrast-enhanced abdominopelvic CT (01/2010-01/2025) were included; lesions with dominant macrocalcifications were excluded. On venous-phase CT, ROI-based HU profiles were computed on the slice showing the maximal cross-sectional area of each lesion; the leading profile-derived parameters were the intralesional minimum HU, maximal HU, and the ΔHU (ΔHU = max-min). Reader-consensus values were analyzed. In a DECT subset of 20 cases, readers placed lesion and aortic ROIs to compute normalized iodine concentration (NIC = iodine_lesion/iodine_aorta). RESULTS: 81 patients were analyzed (leiomyoma n = 41, sarcoma n = 40; sarcoma subtypes: LMS n = 15, MMMT/CS n = 10, ESS n = 9, adenosarcoma n = 3, and UUS n = 3). Sarcomas showed lower minimum HU and higher ΔHU than leiomyomas (all p < 0.001), yielding AUC = 0.75 (minimum HU) and AUC = 0.73 (ΔHU). DECT with normalized iodine concentration (NIC) was available in n = 20 (10/10) and was higher in sarcomas, achieving AUC = 0.96 (Youden = 0.733, sensitivity = 0.80, specificity = 1.00). Reliability was good-to-excellent for HU features (ICC = 0.86-0.97) and excellent for iodine metrics (ICC = 0.99-1.00). CONCLUSION: Simple, aorta-normalized CT metrics may capture biologically plausible differences between uterine leiomyomas and sarcomas. In particular, aorta-normalized attenuation features showed fair discriminatory performance in the overall cohort, while DECT-derived NIC showed promising but exploratory performance in a small spectral subset that requires external confirmation.

Clinical ImagingVol. 134
TUM Klinikum (DE)
Affordable and clean energy
Openalex Percentile: Top 30%
Advanced X-ray and CT Imaging
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