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Rajaram S, Singh L, Heda A, Chawla L, Phulware RH, Singh A, Kaur S. Uterine preservation in low-grade endometrial stromal sarcoma. Gynecol Oncol Rep 2024; 55:101470. [PMID: 39184281 PMCID: PMC11341926 DOI: 10.1016/j.gore.2024.101470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2024] [Revised: 07/09/2024] [Accepted: 07/24/2024] [Indexed: 08/27/2024] Open
Abstract
Data on uterine preservation in the management of low grade endometrial stromal sarcoma (LGESS) is scarce due to rarity of this tumor type. Standard management of LGESS involves extrafascial hysterectomy with bilateral salpingo-oophorectomy with debulking of any extrauterine metastatic disease. High estrogen and progesterone receptor expression facilitates adjuvant hormone therapy post-surgery. LGESS frequently affects young women, thus fertility preservation is an important issue in management. Here we describe uterine preservation in two young women diagnosed with LGESS followed by GnRH analogue therapy with favorable outcome. The first case was diagnosed with recurrent endometrial polyp invading myometrium requiring wedge resection of uterus with free margins. Second case presented with a vaginal mass arising from cervix and excision was done through vaginal route. Both patients were prescribed GnRH analogue therapy for six months post-surgery and are currently on follow-up. These case reports add to literature on feasibility of uterine preservation in the management of LGESS.
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Affiliation(s)
- Shalini Rajaram
- Gynecologic Oncology, Department of Obstetrics and Gynecology, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India
| | - Lakhwinder Singh
- Gynecologic Oncology, Department of Obstetrics and Gynecology, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India
| | - Ayush Heda
- Gynecologic Oncology, Department of Obstetrics and Gynecology, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India
| | - Latika Chawla
- Department of Obstetrics and Gynecology, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India
| | - Ravi Hari Phulware
- Department of Pathology, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India
| | - Ashok Singh
- Department of Pathology, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India
| | - Simardeep Kaur
- Department of Obstetrics and Gynecology, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India
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Freitas P, Resende-Neves T, Lameira P, Costa M, Dias P, Filipe J, Ferreira J, Félix A, Cunha TM. Smooth muscle tumours of the uterus: MR imaging malignant predictive features-a 12-year analysis in a referral hospital in Portugal. Arch Gynecol Obstet 2024; 309:1551-1560. [PMID: 38055011 DOI: 10.1007/s00404-023-07294-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 11/05/2023] [Indexed: 12/07/2023]
Abstract
PURPOSE To evaluate the magnetic resonance imaging (MRI) features that may help distinguish leiomyosarcomas from atypical leiomyomas (those presenting hyperintensity on T2-W images equal or superior to 50% compared to the myometrium). MATERIALS AND METHODS The authors conducted a retrospective single-centre study that included a total of 57 women diagnosed with smooth muscle tumour of the uterus, who were evaluated with pelvic MRI, between January 2009 and March 2020. All cases had a histologically proven diagnosis (31 Atypical Leiomyomas-ALM; 26 Leiomyosarcomas-LMS). The MRI features evaluated in this study included: age at presentation, dimension, contours, intra-tumoral haemorrhagic areas, T2-WI heterogeneity, T2-WI dark areas, flow voids, cyst areas, necrosis, restriction on diffusion-weighted imaging (DWI), apparent diffusion coefficient (ADC) values, signal intensity and heterogeneity after contrast administration in T1-WI, presence and location of unenhanced areas. The association between the MRI characteristics and the histological subtype was evaluated using Chi-Square and ANOVA tests. RESULTS The MRI parameters that showed a statistically significance correlation with malignant histology and thus most strongly associated with LMS were found to be: irregular contours (p < 0.001), intra-tumoral haemorrhagic areas (p = 0.028), T2-WI dark areas (p = 0.016), high signal intensity after contrast administration (p = 0.005), necrosis (p = 0.001), central location for unenhanced areas (p = 0.026), and ADC value lower than 0.88 × 10-3 mm2/s (p = 0.002). CONCLUSION With our work, we demonstrate the presence of seven MRI features that are statistically significant in differentiating between LMS and ALM.
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Affiliation(s)
- Patrícia Freitas
- Department of Radiology, Hospital São José, Centro Hospitalar Universitário Lisboa Central, R. José António Serrano, 1150-199, Lisbon, Portugal.
| | | | - Pedro Lameira
- Department of Radiology, Hospital de Santa Maria, Lisbon, Portugal
| | - Marta Costa
- Department of Radiology, Hospital Curry Cabral, Lisbon, Portugal
| | - Paulo Dias
- Department of Radiology, Instituto Portugues de Oncologia de Lisboa Francisco Gentil, Lisbon, Portugal
| | - Juliana Filipe
- Department of Pathology, Instituto Portugues de Oncologia de Lisboa Francisco Gentil, Lisbon, Portugal
| | - Joana Ferreira
- Department of Pathology, Instituto Portugues de Oncologia de Lisboa Francisco Gentil, Lisbon, Portugal
| | - Ana Félix
- Department of Pathology, Instituto Portugues de Oncologia de Lisboa Francisco Gentil, Lisbon, Portugal
- Nova Medical School, Lisbon, Portugal
| | - Teresa Margarida Cunha
- Department of Radiology, Instituto Portugues de Oncologia de Lisboa Francisco Gentil, Lisbon, Portugal
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Huayanay Espinoza JL, Espinoza Figueroa JVJ, Velezmoro Díaz VE, Huanca Amesquita LS, Cruz Baca RC, Rioja Vega MA, Guelfguat M. Soft-Tissue Sarcomas of the Genitourinary Tract with Radiologic-Pathologic Correlation. Radiographics 2024; 44:e230138. [PMID: 38236750 DOI: 10.1148/rg.230138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2024]
Abstract
Genitourinary tract soft-tissue sarcomas are rare neoplasms with varied pathologic and clinical features. While some of these tumors may be aggressive high-grade malignancies, others are low grade with a relatively better prognosis. Given that the grade and extent of the disease are important prognostic factors in these tumors, timely diagnosis is crucial. Unfortunately, most imaging features of these malignancies are not pathognomonic, and various histologic subtypes do not manifest with typical classic imaging features. Therefore, reliable differentiation of the various histologic tumor types is not always possible based solely on the radiologic manifestations. Imaging findings need to be considered in the context of clinical history in corroboration with radiologic-pathologic correlation. The authors discuss the specific imaging and pathologic characteristics of various genitourinary tract soft-tissue sarcomas, emphasizing diagnostic difficulties and differential diagnoses. ©RSNA, 2024 Test Your Knowledge questions for this article are available in the supplemental material.
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Affiliation(s)
- Jorge L Huayanay Espinoza
- From the Departments of Radiology (J.L.H.E., J.V.J.E.F., V.E.V.D.) and Pathology (L.S.H.A., R.C.C.B., M.A.R.V.), Instituto Nacional de Enfermedades Neoplásicas, Av Angamos 2520 Surquillo, 15038 Lima, Peru; and Department of Radiology, Jacobi Medical Center, Bronx, NY (M.G.)
| | - Jossue V J Espinoza Figueroa
- From the Departments of Radiology (J.L.H.E., J.V.J.E.F., V.E.V.D.) and Pathology (L.S.H.A., R.C.C.B., M.A.R.V.), Instituto Nacional de Enfermedades Neoplásicas, Av Angamos 2520 Surquillo, 15038 Lima, Peru; and Department of Radiology, Jacobi Medical Center, Bronx, NY (M.G.)
| | - Vanessa E Velezmoro Díaz
- From the Departments of Radiology (J.L.H.E., J.V.J.E.F., V.E.V.D.) and Pathology (L.S.H.A., R.C.C.B., M.A.R.V.), Instituto Nacional de Enfermedades Neoplásicas, Av Angamos 2520 Surquillo, 15038 Lima, Peru; and Department of Radiology, Jacobi Medical Center, Bronx, NY (M.G.)
| | - Lourdes S Huanca Amesquita
- From the Departments of Radiology (J.L.H.E., J.V.J.E.F., V.E.V.D.) and Pathology (L.S.H.A., R.C.C.B., M.A.R.V.), Instituto Nacional de Enfermedades Neoplásicas, Av Angamos 2520 Surquillo, 15038 Lima, Peru; and Department of Radiology, Jacobi Medical Center, Bronx, NY (M.G.)
| | - Renier C Cruz Baca
- From the Departments of Radiology (J.L.H.E., J.V.J.E.F., V.E.V.D.) and Pathology (L.S.H.A., R.C.C.B., M.A.R.V.), Instituto Nacional de Enfermedades Neoplásicas, Av Angamos 2520 Surquillo, 15038 Lima, Peru; and Department of Radiology, Jacobi Medical Center, Bronx, NY (M.G.)
| | - Marco A Rioja Vega
- From the Departments of Radiology (J.L.H.E., J.V.J.E.F., V.E.V.D.) and Pathology (L.S.H.A., R.C.C.B., M.A.R.V.), Instituto Nacional de Enfermedades Neoplásicas, Av Angamos 2520 Surquillo, 15038 Lima, Peru; and Department of Radiology, Jacobi Medical Center, Bronx, NY (M.G.)
| | - Mark Guelfguat
- From the Departments of Radiology (J.L.H.E., J.V.J.E.F., V.E.V.D.) and Pathology (L.S.H.A., R.C.C.B., M.A.R.V.), Instituto Nacional de Enfermedades Neoplásicas, Av Angamos 2520 Surquillo, 15038 Lima, Peru; and Department of Radiology, Jacobi Medical Center, Bronx, NY (M.G.)
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Hayashi T, Sano K, Yaegashi N, Abiko K, Konishi I. Characteristic of Endometrial Stromal Sarcoma by Algorithm of Potential Biomarkers for Uterine Mesenchymal Tumor. Curr Issues Mol Biol 2023; 45:6190-6201. [PMID: 37623209 PMCID: PMC10453212 DOI: 10.3390/cimb45080390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 07/11/2023] [Accepted: 07/19/2023] [Indexed: 08/26/2023] Open
Abstract
The benign tumor uterine leiomyoma (UL) develops from the smooth muscle tissue that constitutes the uterus, whereas malignant tumor uterine sarcoma develops from either the smooth muscle tissue or stroma and is different from UL and endometrial cancer. Uterine sarcoma is broadly classified into three types: uterine leiomyosarcoma, endometrial stromal sarcoma (ESS), and carcinosarcoma. Although uterine leiomyosarcoma and ESS are both classified as uterine sarcoma, they significantly differ in terms of their sites of occurrence, symptoms, and treatment methods. Uterine leiomyosarcoma develops from the muscle tissue constituting the wall of the uterus and accounts for approximately 70% of all uterine sarcoma cases. In contrast, ESS develops from the stromal tissue beneath the endometrium and accounts for approximately 25% of all uterine sarcoma cases. ESS is classified as either low grade (LG) or high grade (HG). This case report aimed to highlight the importance of histopathologic examinations based on surgical specimens. Herein, we reported the case of a 45-year-old woman suspected of having submucosal leiomyoma of the uterus based on imaging results. Transvaginal ultrasonography and endometrial biopsy or partial dilation and curettage were performed. Contrast-enhanced magnetic resonance imaging (MRI) revealed a 32-mm mass projecting from the posterior wall of the uterus into the uterine cavity. T2-weighted imaging revealed a low signal within the mass; thus, submucosal UL was suspected. Histopathologic examination of surgical specimens obtained from a patient suspected of having submucosal UL after contrast-enhanced MRI indicated that the patient had ESS. Despite the remarkable advancements in medical imaging technology, the accuracy of contrast-enhanced MRI for detecting uterine mesenchymal tumors is limited. Therefore, histopathologic diagnosis based on surgical specimens should be performed when medical grounds for diagnosing a benign tumor on contrast-enhanced MRI are lacking.
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Affiliation(s)
- Takuma Hayashi
- Cancer Medicine, National Hospital Organization Kyoto Medical Centre, Kyoto 612-8555, Japan
- Department of Medical R&D Promotion Project, Japan Agency for Medical Research and Development (AMED), Tokyo 103-0022, Japan
| | - Kenji Sano
- Department of Medical R&D Promotion Project, Japan Agency for Medical Research and Development (AMED), Tokyo 103-0022, Japan
- Department of Pathology, Shinshu University Hospital, Nagano 390-8621, Japan
| | - Nobuo Yaegashi
- Department of Medical R&D Promotion Project, Japan Agency for Medical Research and Development (AMED), Tokyo 103-0022, Japan
- Section of Assistant Director, Sendai Red Cross Hospital, Miyagi 982-8501, Japan
| | - Kaoru Abiko
- Department of Obstetrics and Gynecology, National Hospital Organization Kyoto Medical Centre, Kyoto 612-8555, Japan
| | - Ikuo Konishi
- Cancer Medicine, National Hospital Organization Kyoto Medical Centre, Kyoto 612-8555, Japan
- Department of Medical R&D Promotion Project, Japan Agency for Medical Research and Development (AMED), Tokyo 103-0022, Japan
- Department of Obstetrics and Gynecology, Graduate School of Medicine, Kyoto University, Kyoto 606-8507, Japan
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Laufer J, Scasso S, Kim B, Shahi M, Mariani A. Fertility-sparing management of low-grade endometrial stromal sarcoma. Int J Gynecol Cancer 2023; 33:1145-1149. [PMID: 37400123 DOI: 10.1136/ijgc-2023-004448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/05/2023] Open
Affiliation(s)
- Joel Laufer
- School of Medicine, Universidad de la Republica Uruguay, Montevideo, Uruguay
| | - Santiago Scasso
- School of Medicine, Universidad de la Republica Uruguay, Montevideo, Uruguay
| | - Bohyun Kim
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Maryam Shahi
- Department of Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Andrea Mariani
- Department of Gynecologic Surgery, Mayo Clinic Rochester, Rochester, Minnesota, USA
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Petrocelli R, Hindman N, Reinhold C. Current Concepts in the Imaging of Uterine Sarcomas. Radiol Clin North Am 2023; 61:627-638. [PMID: 37169428 DOI: 10.1016/j.rcl.2023.02.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2023]
Abstract
Uterine sarcomas are a group of rare uterine tumors comprised of multiple subtypes with different histologic characteristics, prognoses, and imaging appearances. Identification of uterine sarcomas and their differentiation from benign uterine disease on imaging is of critical importance for treatment planning to guide appropriate management and optimize patient outcomes. Herein, we review the spectrum of uterine sarcomas with a focus on the classification of primary sarcoma subtypes and presenting the typical MR imaging appearances.
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Camponovo C, Neumann S, Zosso L, Mueller MD, Raio L. Sonographic and Magnetic Resonance Characteristics of Gynecological Sarcoma. Diagnostics (Basel) 2023; 13:1223. [PMID: 37046441 PMCID: PMC10092971 DOI: 10.3390/diagnostics13071223] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 01/30/2023] [Accepted: 02/01/2023] [Indexed: 04/14/2023] Open
Abstract
INTRODUCTION Gynecological sarcomas are rare malignant tumors with an incidence of 1.5-3/100,000 and are 3-9% of all malignant uterine tumors. The preoperative differentiation between sarcoma and myoma becomes increasingly important with the development of minimally invasive treatments for myomas, as this means undertreatment for sarcoma. There are currently no reliable laboratory tests or imaging-characteristics to detect sarcomas. The objective of this article is to gain an overview of sarcoma US/MRI characteristics and assess their accuracy for preoperative diagnosis. METHODS A systematic literature review was performed and 12 studies on ultrasound and 21 studies on MRI were included. RESULTS For the ultrasound, these key features were gathered: solid tumor > 8 cm, unsharp borders, heterogeneous echogenicity, no acoustic shadowing, rich vascularization, and cystic changes within. For the MRI, these key features were gathered: irregular borders; heterogeneous; high signal on T2WI intensity; and hemorrhagic and necrotic changes, with central non-enhancement, hyperintensity on DWI, and low values for ADC. CONCLUSIONS These features are supported by the current literature. In retrospective analyses, the ultrasound did not show a sufficient accuracy for diagnosing sarcoma preoperatively and could also not differentiate between the different subtypes. The MRI showed mixed results: various studies achieved high sensitivities in their analysis, when combining multiple characteristics. Overall, these findings need further verification in prospective studies with larger study populations.
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Affiliation(s)
- Carolina Camponovo
- Department of Obstetrics and Gynecology, University Hospital Insel, University of Bern, 3010 Bern, Switzerland
| | - Stephanie Neumann
- Department of Obstetrics and Gynecology, University Hospital Insel, University of Bern, 3010 Bern, Switzerland
| | - Livia Zosso
- Faculty of Medicine, University of Bern, 3012 Bern, Switzerland
| | - Michael D. Mueller
- Department of Obstetrics and Gynecology, University Hospital Insel, University of Bern, 3010 Bern, Switzerland
| | - Luigi Raio
- Department of Obstetrics and Gynecology, University Hospital Insel, University of Bern, 3010 Bern, Switzerland
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Wang F, Dai X, Chen H, Hu X, Wang Y. Clinical characteristics and prognosis analysis of uterine sarcoma: a single-institution retrospective study. BMC Cancer 2022; 22:1050. [PMID: 36207687 PMCID: PMC9540718 DOI: 10.1186/s12885-022-10129-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Accepted: 09/26/2022] [Indexed: 11/23/2022] Open
Abstract
Background Uterine sarcomas are rare and aggressive gynaecologic malignancies, characterized by a relatively high recurrence rate and poor prognosis. The aim of this study was to investigate the clinicopathological features and explore the prognostic factors of these malignancies. Methods This was a single-institution, retrospective study. We reviewed the medical records of 155 patients with pathologically confirmed uterine sarcomas including uterine leiomyosarcoma (ULMS), low-grade endometrial stromal sarcoma (LG-ESS), high-grade endometrial stromal sarcoma (HG-ESS), undifferentiated uterine sarcoma (UUS) and adenosarcoma (AS) between 2006 and 2022. A total of 112 patients who underwent surgery between January 2006 and April 2019 were included in the survival analysis. The current study recorded the clinicopathological, treatment and outcome data to determine clinical characteristics and survival. Results The most common histopathological type was ULMS (63/155, 40.64%), followed by LG-ESS (56/155, 36.13%) and HG-ESS (16/155, 10.32%). The mean age at diagnosis of all patients was 49.27±48.50 years and 32.90% (51/155) of patients were postmenopausal. Fifteen patients underwent fast-frozen sectioning, 63(54.78%) were diagnosed with malignancy, 29(25.22%) were highly suspected of malignancy that needed further clarification and 23(14.84%) were diagnosed with benign disease. A total of 124(80%) patients underwent total hysterectomy (TH) and salpingo-oophorectomy. Multivariate analyses showed that histological type and tumour size were independent prognostic factors both for overall survival (OS) (p<0.001 and P=0.017, respectively) and progression-free survival (PFS) (p<0.001 and P=0.018, respectively). Tumour stage was only significantly associated with PFS (P=0.002). Elevated preoperative NLR, PLR and postmenopausal status were significantly correlated with shorter PFS and OS in univariate analysis, but no statistically significant difference was found in multivariate analysis. Conclusions In patients with uterine sarcoma, in comparison to LMS and LG-ESS, UUS and HG-ESS tend to present as more aggressive tumour with poorer outcomes. Furthermore, larger tumour (>7.5 cm) were an important predictor of shorter PFS and OS.
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Affiliation(s)
- Fang Wang
- Department of Pathology, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China
| | - Xinyue Dai
- Department of Gynecology, First Affiliated Hospital of Wenzhou Medical University, Zhejiang, Wenzhou, 325000, China
| | - Huijun Chen
- Department of Gynecology, First Affiliated Hospital of Wenzhou Medical University, Zhejiang, Wenzhou, 325000, China
| | - Xiaoli Hu
- Department of Gynecology, First Affiliated Hospital of Wenzhou Medical University, Zhejiang, Wenzhou, 325000, China.
| | - Yuanqiu Wang
- Department of Gynecology, First Affiliated Hospital of Wenzhou Medical University, Zhejiang, Wenzhou, 325000, China.
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Review of uterine fibroids: imaging of typical and atypical features, variants, and mimics with emphasis on workup and FIGO classification. Abdom Radiol (NY) 2022; 47:2468-2485. [PMID: 35554629 DOI: 10.1007/s00261-022-03545-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 04/23/2022] [Accepted: 04/26/2022] [Indexed: 12/28/2022]
Abstract
Uterine fibroids are the most common gynecologic neoplasm. Although non-degenerated fibroids are easily identifiable on imaging, degenerated fibroids, fibroid variants, and fibroids with unusual growth patterns can constitute a diagnostic dilemma. Identification of these abnormal morphologic features can alter the diagnosis of presumed uterine fibroids and hence change management plans. This article reviews the typical and atypical radiologic imaging features of uterine fibroids, with an emphasis on the pitfalls, mimics, and radiologically identifiable features that can alter clinical management plans.
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