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Extremely Rare CT and MRI Findings of Peritoneal Leiomyoma Mimicking Hepatic Mass: A Case Report.

ABSTRACT: Leiomyoma is a common benign tumor from smooth muscle cells, mostly in the uterus. Peritoneal leiomyomas (PLs) are extremely rare and mostly reported as disseminated peritoneal leiomyomatosis. However, to the best of out knowledge, radiologic findings of isolated PL are not reported in English literature. Herein, we introduce the radiologic findings of PL mimicking hepatic mass in a 34-year-old female. CT showed a mass with curvilinear heterogeneous enhancement at the liver's peripheral area. On MRI, the mass showed gradual and heterogeneous enhancement on gadoxetic acid-enhanced MRI and diffusion restriction. The radiologic diagnosis was a benign hepatic tumor, such as degenerated hemangioma, adenoma, and inflammatory myofibroblastic tumor; however, the mass was diagnosed as PL pathologically.

SUBMITTER: Woo J

PROVIDER: S-EPMC10407062 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature

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Extremely Rare CT and MRI Findings of Peritoneal Leiomyoma Mimicking Hepatic Mass: A Case Report.

Woo Jonghun J Choi Seo-Youn SY Kim Hee Kyung HK Lee Ji Eun JE Lee Min Hee MH Lim Sanghyeok S

Journal of the Korean Society of Radiology 20230710 4

Leiomyoma is a common benign tumor from smooth muscle cells, mostly in the uterus. Peritoneal leiomyomas (PLs) are extremely rare and mostly reported as disseminated peritoneal leiomyomatosis. However, to the best of out knowledge, radiologic findings of isolated PL are not reported in English literature. Herein, we introduce the radiologic findings of PL mimicking hepatic mass in a 34-year-old female. CT showed a mass with curvilinear heterogeneous enhancement at the liver's peripheral area. On ...[more]

PMID: 37559801

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Project description:BackgroundHybrid imaging (e.g., positron emission tomography [PET]/computed tomography [CT], PET/magnetic resonance imaging [MRI]) helps one to visualize and quantify morphological and physiological tumor characteristics in a single study. The noninvasive characterization of tumor heterogeneity is essential for grading, treatment planning, and following-up oncological patients. However, conventional (CONV) image-based parameters, such as tumor diameter, tumor volume, and radiotracer activity uptake, are insufficient to describe tumor heterogeneities. Here, radiomics shows promise for a better characterization of tumors. Nevertheless, the validation of such methods demands imaging objects capable of reflecting heterogeneities in multi-modality imaging. We propose a phantom to simulate tumor heterogeneity repeatably in PET, CT, and MRI.MethodsThe phantom consists of three 50-ml plastic tubes filled partially with acrylic spheres of S1: 1.6 mm, S2: 50%(1.6 mm)/50%(6.3 mm), or S3: 6.3-mm diameter. The spheres were fixed to the bottom of each tube by a plastic grid, yielding one sphere free homogeneous region and one heterogeneous (S1, S2, or S3) region per tube. A 3-tube phantom and its replica were filled with a fluorodeoxyglucose (18F) solution for test-retest measurements in a PET/CT Siemens TPTV and a PET/MR Siemens Biograph mMR system. A number of 42 radiomic features (10 first order and 32 texture features) were calculated for each phantom region and imaging modality. Radiomic features stability was evaluated through coefficients of variation (COV) across phantoms and scans for PET, CT, and MRI. Further, the Wilcoxon test was used to assess the capability of stable features to discriminate the simulated phantom regions.ResultsThe different patterns (S1-S3) did present visible heterogeneity in all imaging modalities. However, only for CT and MRI, a clear visual difference was present between the different patterns. Across all phantom regions in PET, CT, and MR images, 10, 16, and 21 features out of 42 evaluated features in total had a COV of 10% or less. In particular, CONV, histogram, and gray-level run length matrix features showed high repeatability for all the phantom regions and imaging modalities. Several of repeatable texture features allowed the image-based discrimination of the different phantom regions (p < 0.05). However, depending on the feature, different pattern discrimination capabilities were found for the different imaging modalities.ConclusionThe proposed phantom appears suitable for simulating heterogeneities in PET, CT, and MRI. We demonstrate that it is possible to select radiomic features for the readout of the phantom. Most of these features had been shown to be relevant in previous clinical studies.

Dataset Information

Extremely Rare CT and MRI Findings of Peritoneal Leiomyoma Mimicking Hepatic Mass: A Case Report.

Publications

Extremely Rare CT and MRI Findings of Peritoneal Leiomyoma Mimicking Hepatic Mass: A Case Report.

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