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Woo S, Beier SR, Tong A, Hindman NM, Vargas HA, Kang SK. Utility of ADC Values for Differentiating Uterine Sarcomas From Leiomyomas: Systematic Review and Meta-Analysis. AJR Am J Roentgenol 2024. [PMID: 38899844 DOI: 10.2214/ajr.24.31280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/21/2024]
Abstract
Background: Uterine sarcomas are rare; however, they display imaging features that overlap those of leiomyomas. The potential for undetected uterine sarcomas is clinically relevant because minimally invasive treatment of leiomyomas may lead to cancer dissemination. ADC values have shown potential for differentiating benign and malignant uterine masses. Objective: The purpose of this study was to perform a systematic review of the diagnostic performance of ADC values in differentiating uterine sarcomas from leiomyomas. Evidence acquisition: We searched three electronic databases (MEDLINE, EMBASE, and Cochrane databases) for studies distinguishing uterine sarcomas from leiomyomas using MRI, including ADC, with pathologic tissue confirmation or imaging follow-up as the reference standard. Data extraction and QUADAS-2 quality assessment were performed. Sensitivity and specificity were pooled using hierarchic models, including bivariate and hierarchic summary ROC models. Metaregression was used to assess the impact of various factors on heterogeneity. Evidence synthesis: Twenty-one studies met study inclusion criteria. Pooled sensitivity and specificity were 89% (95% CI, 82-94%) and 86% (95% CI, 78-92%), respectively. Area under the summary ROC curve was 94% (95% CI, 92-96%). Context of ADC interpretation (i.e., standalone vs part of multiparametric MRI [mpMRI]) was the only factor found to account significantly for heterogeneity (p = .01). Higher specificity (95% [95% CI, 92-99%] vs 82% [95% CI, 75-89%]) and similar sensitivity (94% [95% CI, 89-99%] vs 88% [95% CI, 82-93%]) were observed when ADC was evaluated among mpMRI features as compared with standalone ADC assessment. ADC cutoff values ranged (0.87-1.29 × 10-3 mm2/s) but were not associated with statistically different performance (p = .37). Pooled mean ADC values in sarcomas and leiomyomas were 0.904 × 10-3 mm2/s and 1.287 × 10-3 mm2/s, respectively. Conclusion: As part of mpMRI evaluation of uterine masses, mass ADC value less than 0.904 × 10-3 mm2/s may be a useful test-positive threshold for uterine sarcoma, consistent with a prior expert consensus statement. Institutional protocols may influence locally selected ADC values. Clinical Impact: Using ADC as part of mpMRI assessment improves detection of uterine sarcoma, which could influence candidate selection for minimally invasive treatments.
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Affiliation(s)
- Sungmin Woo
- Department of Radiology, NYU Langone Health, New York, NY, USA
| | - Sarah R Beier
- Department of Radiology, NYU Langone Health, New York, NY, USA
| | - Angela Tong
- Department of Radiology, NYU Langone Health, New York, NY, USA
| | | | - Hebert A Vargas
- Department of Radiology, NYU Langone Health, New York, NY, USA
| | - Stella K Kang
- Department of Radiology, NYU Langone Health, New York, NY, USA
- Department of Population Health, NYU Langone Health, New York, NY, USA
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2
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Raffone A, Raimondo D, Neola D, Travaglino A, Giorgi M, Lazzeri L, De Laurentiis F, Carravetta C, Zupi E, Seracchioli R, Casadio P, Guida M. Diagnostic accuracy of MRI in the differential diagnosis between uterine leiomyomas and sarcomas: A systematic review and meta-analysis. Int J Gynaecol Obstet 2024; 165:22-33. [PMID: 37732472 DOI: 10.1002/ijgo.15136] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2023] [Revised: 08/30/2023] [Accepted: 08/30/2023] [Indexed: 09/22/2023]
Abstract
BACKGROUND Differential diagnosis between uterine leiomyomas and sarcomas is challenging. Magnetic resonance imaging (MRI) represents the second-line diagnostic method after ultrasound for the assessment of uterine masses. OBJECTIVES To assess the accuracy of MRI in the differential diagnosis between uterine leiomyomas and sarcomas. SEARCH STRATEGY A systematic review and meta-analysis was performed searching five electronic databases from their inception to June 2023. SELECTION CRITERIA All peer-reviewed observational or randomized clinical trials that reported an unbiased postoperative histologic diagnosis of uterine leiomyoma or uterine sarcoma, which also comprehended a preoperative MRI evaluation of the uterine mass. DATA COLLECTION AND ANALYSIS Sensitivity, specificity, positive and negative likelihood ratios, diagnostic odds ratio, and area under the curve on summary receiver operating characteristic of MRI in differentiating uterine leiomyomas and sarcomas were calculated as individual and pooled estimates, with 95% confidence intervals (CI). RESULTS Eight studies with 2495 women (2253 with uterine leiomyomas and 179 with uterine sarcomas), were included. MRI showed pooled sensitivity of 0.90 (95% CI 0.84-0.94), specificity of 0.96 (95% CI 0.96-0.97), positive likelihood ratio of 13.55 (95% CI 6.20-29.61), negative likelihood ratio of 0.08 (95% CI 0.02-0.32), diagnostic odds ratio of 175.13 (95% CI 46.53-659.09), and area under the curve of 0.9759. CONCLUSIONS MRI has a high diagnostic accuracy in the differential diagnosis between uterine leiomyomas and sarcomas.
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Affiliation(s)
- Antonio Raffone
- Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy
- Division of Gynecology and Human Reproduction Physiopathology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Diego Raimondo
- Division of Gynecology and Human Reproduction Physiopathology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Daniele Neola
- Gynecology and Obstetrics Unit, Department of Neuroscience, Reproductive Sciences and Dentistry, School of Medicine, University of Naples Federico II, Naples, Italy
| | - Antonio Travaglino
- Anatomic Pathology Unit, Department of Advanced Biomedical Sciences, School of Medicine, University of Naples Federico II, Naples, Italy
- Gynecopathology and Breast Pathology Unit, Department of Woman's Health Science, Agostino Gemelli University Polyclinic, Rome, Italy
| | - Matteo Giorgi
- Department of Molecular and Developmental Medicine, Obstetrics and Gynecological Clinic, University of Siena, Siena, Italy
| | - Lucia Lazzeri
- Department of Molecular and Developmental Medicine, Obstetrics and Gynecological Clinic, University of Siena, Siena, Italy
| | | | - Carlo Carravetta
- Obstetrics and Gynecology Unit, Salerno ASL, "Villa Malta" Hospital, Sarno, Italy
| | - Errico Zupi
- Department of Molecular and Developmental Medicine, Obstetrics and Gynecological Clinic, University of Siena, Siena, Italy
| | - Renato Seracchioli
- Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy
- Division of Gynecology and Human Reproduction Physiopathology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Paolo Casadio
- Division of Gynecology and Human Reproduction Physiopathology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Maurizio Guida
- Gynecology and Obstetrics Unit, Department of Neuroscience, Reproductive Sciences and Dentistry, School of Medicine, University of Naples Federico II, Naples, Italy
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3
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Rosa F, Martinetti C, Magnaldi S, Rizzo S, Manganaro L, Migone S, Ardoino S, Schettini D, Marchiolè P, Ragusa T, Gandolfo N. Uterine mesenchymal tumors: development and preliminary results of a magnetic resonance imaging (MRI) diagnostic algorithm. LA RADIOLOGIA MEDICA 2023:10.1007/s11547-023-01654-1. [PMID: 37311925 DOI: 10.1007/s11547-023-01654-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 05/25/2023] [Indexed: 06/15/2023]
Abstract
PURPOSE The aim of our study is to propose a diagnostic algorithm to guide MRI findings interpretation and malignancy risk stratification of uterine mesenchymal masses with a multiparametric step-by-step approach. METHODS A non-interventional retrospective multicenter study was performed: Preoperative MRI of 54 uterine masses was retrospectively evaluated. Firstly, the performance of MRI with monoparametric and multiparametric approach was assessed. Reference standard for final diagnosis was surgical pathologic result (n = 53 patients) or at least 1-year MR imaging follow-up (n = 1 patient). Subsequently, a diagnostic algorithm was developed for MR interpretation, resulting in a Likert score from 1 to 5 predicting risk of malignancy of the uterine lesion. The accuracy and reproducibility of the MRI scoring system were then tested: 26 preoperative pelvic MRI were double-blind evaluated by a senior (SR) and junior radiologist (JR). Diagnostic performances and the agreement between the two readers with and without the application of the proposed algorithm were compared, using histological results as standard reference. RESULTS Multiparametric approach showed the best diagnostic performance in terms of accuracy (94.44%,) and specificity (97.56%). DWI was confirmed as the most sensible parameter with a relative high specificity: low ADC values (mean 0.66) significantly correlated to uterine sarcomas diagnosis (p < 0.01). Proposed algorithm allowed to improve both JR and SR performance (algorithm-aided accuracy 88.46% and 96%, respectively) and determined a significant increase in inter-observer agreement, helping even the less-experienced radiologist in this difficult differential diagnosis. CONCLUSIONS Uterine leiomyomas and sarcomas often show an overlap of clinical and imaging features. The application of a diagnostic algorithm can help radiologists to standardize their approach to a complex myometrial mass and to easily identify suspicious MRI features favoring malignancy.
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Affiliation(s)
- Francesca Rosa
- Diagnostic Imaging Department, San Paolo Hospital-ASL 2, via Genova, 30, Savona, Italy.
| | - Carola Martinetti
- Diagnostic Imaging Department, Villa Scassi Hospital-ASL 3, Corso Scassi 1, Genoa, Italy
| | - Silvia Magnaldi
- Diagnostic Imaging Unit, Esperia Medical Center, Porcia, PN, Italy
| | - Stefania Rizzo
- Service of Radiology, Imaging Institute of Southern Switzerland, Clinica di Radiologia EOC, 6900, Lugano, Switzerland
- Faculty of Biomedical Sciences, Università della Svizzera Italiana (USI), via Buffi 23, 6900, Lugano, Switzerland
| | - Lucia Manganaro
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, 00185, Rome, Italy
| | - Stefania Migone
- Diagnostic Imaging Department, Villa Scassi Hospital-ASL 3, Corso Scassi 1, Genoa, Italy
| | - Silvia Ardoino
- Anatomic Pathology Unit, San Paolo Hospital-ASL 2, via Genova, 30, Savona, Italy
| | - Daria Schettini
- Diagnostic Imaging Department, Villa Scassi Hospital-ASL 3, Corso Scassi 1, Genoa, Italy
| | - Pierangelo Marchiolè
- Obstetrics and Gynecology Unit, Villa Scassi Hospital-ASL 3, Corso Scassi 1, Genoa, Italy
- Obstetrics and Gynecology Department, IRCCS ospedale Policlinico San Martino, Genoa, Italy
| | - Tommaso Ragusa
- Anatomic Pathology Unit, Villa Scassi Hospital-ASL 3, Corso Scassi 1, Genoa, Italy
| | - Nicoletta Gandolfo
- Diagnostic Imaging Department, Villa Scassi Hospital-ASL 3, Corso Scassi 1, Genoa, Italy
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4
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Rakic A, Anicic R, Rakic M, Nejkovic L. Integrated Bioinformatics Investigation of Novel Biomarkers of Uterine Leiomyosarcoma Diagnosis and Outcome. J Pers Med 2023; 13:985. [PMID: 37373974 DOI: 10.3390/jpm13060985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 05/30/2023] [Accepted: 06/08/2023] [Indexed: 06/29/2023] Open
Abstract
Uterine leiomyosarcomas (uLMS) have a poor prognosis and a high percentage of recurrent disease. Bioinformatics has become an integral element in rare cancer studies by overcoming the inability to collect a large enough study population. This study aimed to investigate and highlight crucial genes, pathways, miRNAs, and transcriptional factors (TF) on uLMS samples from five Gene Expression Omnibus datasets and The Cancer Genome Atlas Sarcoma study. Forty-one common differentially expressed genes (DEGs) were enriched and annotated by the DAVID software. With protein-protein interaction (PPI) network analysis, we selected ten hub genes that were validated with the TNMplotter web tool. We used the USCS Xena browser for survival analysis. We also predicted TF-gene and miRNA-gene regulatory networks along with potential drug molecules. TYMS and TK1 correlated with overall survival in uLMS patients. Finally, our results propose further validation of hub genes (TYMS and TK1), miR-26b-5p, and Sp1 as biomarkers of pathogenesis, prognosis, and differentiation of uLMS. Regarding the aggressive behavior and poor prognosis of uLMS, with the lack of standard therapeutic regimens, in our opinion, the results of our study provide enough evidence for further investigation of the molecular basis of uLMS occurrence and its implication in the diagnosis and therapy of this rare gynecological malignancy.
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Affiliation(s)
- Aleksandar Rakic
- The Obstetrics and Gynecology Clinic Narodni Front, 11000 Belgrade, Serbia
| | - Radomir Anicic
- The Obstetrics and Gynecology Clinic Narodni Front, 11000 Belgrade, Serbia
- School of Medicine, University of Belgrade, 11000 Belgrade, Serbia
| | - Marija Rakic
- Faculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska, 6000 Koper, Slovenia
| | - Lazar Nejkovic
- The Obstetrics and Gynecology Clinic Narodni Front, 11000 Belgrade, Serbia
- School of Medicine, University of Belgrade, 11000 Belgrade, Serbia
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5
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Tu W, Yano M, Schieda N, Krishna S, Chen L, Gottumukkala RV, Alencar R. Smooth Muscle Tumors of the Uterus at MRI: Focus on Leiomyomas and FIGO Classification. Radiographics 2023; 43:e220161. [PMID: 37261965 DOI: 10.1148/rg.220161] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
Leiomyomas are smooth muscle tumors of the uterus and are the most common uterine neoplasm. Although leiomyomas are usually asymptomatic, they can manifest with symptoms such as pain or uterine bleeding. Leiomyomas are classified on the basis of their anatomic location and morphology. Localization of leiomyomas relative to the endometrium, myometrium, and uterine serosa with use of the International Federation of Gynecology and Obstetrics (FIGO) classification system is helpful for guiding management in symptomatic patients. The FIGO system is a practical and universally accepted approach for classifying leiomyomas to guide radiologists and clinicians in deciding management. The MRI appearance of conventional leiomyomas is related to their tissue contents of smooth muscle and fibrous tissue and is well established. The MRI features of some leiomyoma subtypes and forms of degeneration also have been described. Other smooth muscle tumors of the uterus recognized in the 2020 World Health Organization classification system include intravenous leiomyomatosis, smooth muscle tumors of uncertain malignant potential, and metastasizing leiomyoma. At the far end of the spectrum are leiomyosarcomas, which are frankly malignant and therefore must be managed accordingly. Although MRI features that suggest a diagnosis of leiomyosarcoma have been proposed, these features overlap with those of some leiomyoma subtypes and degeneration. © RSNA, 2023 See the invited commentary by Fennessy and Gargiulo in this issue. Online supplemental material and the slide presentation from the RSNA Annual Meeting are available for this article. Quiz questions for this article are available through the Online Learning Center.
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Affiliation(s)
- Wendy Tu
- From the Department of Medical Imaging, University of Alberta, 116 St and 85 Ave, Edmonton, Alberta, Canada T6G 2R3 (W.T.); Department of Radiology (M.Y.) and Department of Laboratory Medicine and Pathology (L.C.), Mayo Clinic Arizona, Phoenix, AZ; Department of Radiology, University of Ottawa, Ottawa, Ontario, Canada (N.S.); Department of Medical Imaging, University Medical Imaging Toronto, University of Toronto, Toronto, Ontario, Canada (S.K.); and Department of Radiology, Brigham and Women's Hospital, Harvard University, Boston, MA (R.V.G., R.A.1)
| | - Motoyo Yano
- From the Department of Medical Imaging, University of Alberta, 116 St and 85 Ave, Edmonton, Alberta, Canada T6G 2R3 (W.T.); Department of Radiology (M.Y.) and Department of Laboratory Medicine and Pathology (L.C.), Mayo Clinic Arizona, Phoenix, AZ; Department of Radiology, University of Ottawa, Ottawa, Ontario, Canada (N.S.); Department of Medical Imaging, University Medical Imaging Toronto, University of Toronto, Toronto, Ontario, Canada (S.K.); and Department of Radiology, Brigham and Women's Hospital, Harvard University, Boston, MA (R.V.G., R.A.1)
| | - Nicola Schieda
- From the Department of Medical Imaging, University of Alberta, 116 St and 85 Ave, Edmonton, Alberta, Canada T6G 2R3 (W.T.); Department of Radiology (M.Y.) and Department of Laboratory Medicine and Pathology (L.C.), Mayo Clinic Arizona, Phoenix, AZ; Department of Radiology, University of Ottawa, Ottawa, Ontario, Canada (N.S.); Department of Medical Imaging, University Medical Imaging Toronto, University of Toronto, Toronto, Ontario, Canada (S.K.); and Department of Radiology, Brigham and Women's Hospital, Harvard University, Boston, MA (R.V.G., R.A.1)
| | - Satheesh Krishna
- From the Department of Medical Imaging, University of Alberta, 116 St and 85 Ave, Edmonton, Alberta, Canada T6G 2R3 (W.T.); Department of Radiology (M.Y.) and Department of Laboratory Medicine and Pathology (L.C.), Mayo Clinic Arizona, Phoenix, AZ; Department of Radiology, University of Ottawa, Ottawa, Ontario, Canada (N.S.); Department of Medical Imaging, University Medical Imaging Toronto, University of Toronto, Toronto, Ontario, Canada (S.K.); and Department of Radiology, Brigham and Women's Hospital, Harvard University, Boston, MA (R.V.G., R.A.1)
| | - Longwen Chen
- From the Department of Medical Imaging, University of Alberta, 116 St and 85 Ave, Edmonton, Alberta, Canada T6G 2R3 (W.T.); Department of Radiology (M.Y.) and Department of Laboratory Medicine and Pathology (L.C.), Mayo Clinic Arizona, Phoenix, AZ; Department of Radiology, University of Ottawa, Ottawa, Ontario, Canada (N.S.); Department of Medical Imaging, University Medical Imaging Toronto, University of Toronto, Toronto, Ontario, Canada (S.K.); and Department of Radiology, Brigham and Women's Hospital, Harvard University, Boston, MA (R.V.G., R.A.1)
| | - Ravi V Gottumukkala
- From the Department of Medical Imaging, University of Alberta, 116 St and 85 Ave, Edmonton, Alberta, Canada T6G 2R3 (W.T.); Department of Radiology (M.Y.) and Department of Laboratory Medicine and Pathology (L.C.), Mayo Clinic Arizona, Phoenix, AZ; Department of Radiology, University of Ottawa, Ottawa, Ontario, Canada (N.S.); Department of Medical Imaging, University Medical Imaging Toronto, University of Toronto, Toronto, Ontario, Canada (S.K.); and Department of Radiology, Brigham and Women's Hospital, Harvard University, Boston, MA (R.V.G., R.A.1)
| | - Raquel Alencar
- From the Department of Medical Imaging, University of Alberta, 116 St and 85 Ave, Edmonton, Alberta, Canada T6G 2R3 (W.T.); Department of Radiology (M.Y.) and Department of Laboratory Medicine and Pathology (L.C.), Mayo Clinic Arizona, Phoenix, AZ; Department of Radiology, University of Ottawa, Ottawa, Ontario, Canada (N.S.); Department of Medical Imaging, University Medical Imaging Toronto, University of Toronto, Toronto, Ontario, Canada (S.K.); and Department of Radiology, Brigham and Women's Hospital, Harvard University, Boston, MA (R.V.G., R.A.1)
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6
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Collineau B, Genestie C, Croce S, Meeus P, Floquet A, Guyon F, Llacer-Moscardo C, Lebreton C, Taieb S, Toulmonde M, Blay JY, Bonvalot S, Ray-Coquard I, Pautier P, Duffaud F. [Uterine leiomyosarcoma - French guidelines from the GSF/NETSARC and TMRG groups]. Bull Cancer 2023; 110:440-449. [PMID: 36863922 DOI: 10.1016/j.bulcan.2023.01.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 12/29/2022] [Accepted: 01/09/2023] [Indexed: 03/04/2023]
Abstract
Uterine leiomyosarcomas represent the most common uterine sarcomas. The prognosis is poor with metastatic recurrence in more than half of the cases. The purpose of this review is to make French recommendations for the management of uterine leiomyosarcomas within the framework of the French Sarcoma Group - Bone Tumor Study Group (GSF-GETO)/NETSARC+ and Malignant Rare Gynecological Tumors (TMRG) networks in order to optimize their therapeutic management. The initial assessment includes a MRI with diffusion perfusion sequence. The diagnosis is histological with a review in an expert center (Reference Network in Sarcoma Pathology (RRePS)). Total hysterectomy with bilateral salpingectomy, en bloc without morcellation, is performed when complete resection is possible, whatever the stage. There is no indication of systematic lymph node dissection. Bilateral oophorectomy is indicated in peri-menopausal or menopausal women. Adjuvant external radiotherapy is not a standard. Adjuvant chemotherapy is not a standard. It can be an option and consists in doxorobucin based protocols. In the event of local recurrence, the therapeutic options are based on revision surgery and/or radiotherapy. Systemic treatment with chemotherapy is most often indicated. In case of metastatic disease, surgical treatment remains indicated when resecable. In cases of oligo-metastatic disease, focal treatment of metastases should be considered. In the case of stage IV, chemotherapy is indicated, and is based on first-line doxorubicin-based protocols. In the event of excessive deterioration in general condition, management by exclusive supportive care is recommended. External palliative radiotherapy can be proposed for symptomatic purposes.
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Affiliation(s)
- Bérénice Collineau
- CHU la Timone, Assistance publique des Hôpitaux de Marseille, 13005 Marseille, France.
| | | | | | | | | | | | - Carmen Llacer-Moscardo
- ICM-Val D'Aurelle (institut du cancer de Montpellier), Département de radiothérapie oncologique ; Inserm U1194 IRCM, Montpellier, France
| | | | - Sophie Taieb
- Centre Oscar Lambret, Département d'imagerie, 59000 Lille, France
| | | | | | | | | | | | - Florence Duffaud
- CHU la Timone, Assistance publique des Hôpitaux de Marseille, 13005 Marseille, France
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7
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Hindman N, Kang S, Fournier L, Lakhman Y, Nougaret S, Reinhold C, Sadowski E, Huang JQ, Ascher S. MRI Evaluation of Uterine Masses for Risk of Leiomyosarcoma: A Consensus Statement. Radiology 2023; 306:e211658. [PMID: 36194109 PMCID: PMC9885356 DOI: 10.1148/radiol.211658] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Revised: 07/01/2022] [Accepted: 07/11/2022] [Indexed: 01/26/2023]
Abstract
Laparoscopic myomectomy, a common gynecologic operation in premenopausal women, has become heavily regulated since 2014 following the dissemination of unsuspected uterine leiomyosarcoma (LMS) throughout the pelvis of a physician treated for symptomatic leiomyoma. Research since that time suggests a higher prevalence than previously suspected of uterine LMS in resected masses presumed to represent leiomyoma, as high as one in 770 women (0.13%). Though rare, the dissemination of an aggressive malignant neoplasm due to noncontained electromechanical morcellation in laparoscopic myomectomy is a devastating outcome. Gynecologic surgeons' desire for an evidence-based, noninvasive evaluation for LMS is driven by a clear need to avoid such harms while maintaining the availability of minimally invasive surgery for symptomatic leiomyoma. Laparoscopic gynecologists could rely upon the distinction of higher-risk uterine masses preoperatively to plan oncologic surgery (ie, potential hysterectomy) for patients with elevated risk for LMS and, conversely, to safely offer women with no or minimal indicators of elevated risk the fertility-preserving laparoscopic myomectomy. MRI evaluation for LMS may potentially serve this purpose in symptomatic women with leiomyomas. This evidence review and consensus statement defines imaging and disease-related terms to allow more uniform and reliable interpretation and identifies the highest priorities for future research on LMS evaluation.
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Affiliation(s)
- Nicole Hindman
- From the Departments of Radiology (N.H., S.K.) and Gynecology
(J.Q.H.), NYU Grossman School of Medicine, 660 First Ave, 3rd Floor, New York,
NY 10016; Department of Radiology, Université Paris Cité, AP-HP,
Hôpital Européen Georges Pompidou, PARCC UMRS 970, INSERM, Paris,
France (L.F.); Department of Radiology, Memorial Sloan Kettering Cancer Center,
New York, NY (Y.L.); Department of Radiology, Cancer Institute Montpellier,
Montpellier, France (S.N.); Department of Radiology, McGill University,
Montreal, Quebec, Canada (C.R.); Department of Radiology, University of
Wisconsin School of Medicine and Public Health, Madison, Wis (E.S.); and
Department of Radiology, Georgetown University School of Medicine, Washington,
DC (S.A.)
| | - Stella Kang
- From the Departments of Radiology (N.H., S.K.) and Gynecology
(J.Q.H.), NYU Grossman School of Medicine, 660 First Ave, 3rd Floor, New York,
NY 10016; Department of Radiology, Université Paris Cité, AP-HP,
Hôpital Européen Georges Pompidou, PARCC UMRS 970, INSERM, Paris,
France (L.F.); Department of Radiology, Memorial Sloan Kettering Cancer Center,
New York, NY (Y.L.); Department of Radiology, Cancer Institute Montpellier,
Montpellier, France (S.N.); Department of Radiology, McGill University,
Montreal, Quebec, Canada (C.R.); Department of Radiology, University of
Wisconsin School of Medicine and Public Health, Madison, Wis (E.S.); and
Department of Radiology, Georgetown University School of Medicine, Washington,
DC (S.A.)
| | - Laure Fournier
- From the Departments of Radiology (N.H., S.K.) and Gynecology
(J.Q.H.), NYU Grossman School of Medicine, 660 First Ave, 3rd Floor, New York,
NY 10016; Department of Radiology, Université Paris Cité, AP-HP,
Hôpital Européen Georges Pompidou, PARCC UMRS 970, INSERM, Paris,
France (L.F.); Department of Radiology, Memorial Sloan Kettering Cancer Center,
New York, NY (Y.L.); Department of Radiology, Cancer Institute Montpellier,
Montpellier, France (S.N.); Department of Radiology, McGill University,
Montreal, Quebec, Canada (C.R.); Department of Radiology, University of
Wisconsin School of Medicine and Public Health, Madison, Wis (E.S.); and
Department of Radiology, Georgetown University School of Medicine, Washington,
DC (S.A.)
| | - Yulia Lakhman
- From the Departments of Radiology (N.H., S.K.) and Gynecology
(J.Q.H.), NYU Grossman School of Medicine, 660 First Ave, 3rd Floor, New York,
NY 10016; Department of Radiology, Université Paris Cité, AP-HP,
Hôpital Européen Georges Pompidou, PARCC UMRS 970, INSERM, Paris,
France (L.F.); Department of Radiology, Memorial Sloan Kettering Cancer Center,
New York, NY (Y.L.); Department of Radiology, Cancer Institute Montpellier,
Montpellier, France (S.N.); Department of Radiology, McGill University,
Montreal, Quebec, Canada (C.R.); Department of Radiology, University of
Wisconsin School of Medicine and Public Health, Madison, Wis (E.S.); and
Department of Radiology, Georgetown University School of Medicine, Washington,
DC (S.A.)
| | - Stephanie Nougaret
- From the Departments of Radiology (N.H., S.K.) and Gynecology
(J.Q.H.), NYU Grossman School of Medicine, 660 First Ave, 3rd Floor, New York,
NY 10016; Department of Radiology, Université Paris Cité, AP-HP,
Hôpital Européen Georges Pompidou, PARCC UMRS 970, INSERM, Paris,
France (L.F.); Department of Radiology, Memorial Sloan Kettering Cancer Center,
New York, NY (Y.L.); Department of Radiology, Cancer Institute Montpellier,
Montpellier, France (S.N.); Department of Radiology, McGill University,
Montreal, Quebec, Canada (C.R.); Department of Radiology, University of
Wisconsin School of Medicine and Public Health, Madison, Wis (E.S.); and
Department of Radiology, Georgetown University School of Medicine, Washington,
DC (S.A.)
| | - Caroline Reinhold
- From the Departments of Radiology (N.H., S.K.) and Gynecology
(J.Q.H.), NYU Grossman School of Medicine, 660 First Ave, 3rd Floor, New York,
NY 10016; Department of Radiology, Université Paris Cité, AP-HP,
Hôpital Européen Georges Pompidou, PARCC UMRS 970, INSERM, Paris,
France (L.F.); Department of Radiology, Memorial Sloan Kettering Cancer Center,
New York, NY (Y.L.); Department of Radiology, Cancer Institute Montpellier,
Montpellier, France (S.N.); Department of Radiology, McGill University,
Montreal, Quebec, Canada (C.R.); Department of Radiology, University of
Wisconsin School of Medicine and Public Health, Madison, Wis (E.S.); and
Department of Radiology, Georgetown University School of Medicine, Washington,
DC (S.A.)
| | - Elizabeth Sadowski
- From the Departments of Radiology (N.H., S.K.) and Gynecology
(J.Q.H.), NYU Grossman School of Medicine, 660 First Ave, 3rd Floor, New York,
NY 10016; Department of Radiology, Université Paris Cité, AP-HP,
Hôpital Européen Georges Pompidou, PARCC UMRS 970, INSERM, Paris,
France (L.F.); Department of Radiology, Memorial Sloan Kettering Cancer Center,
New York, NY (Y.L.); Department of Radiology, Cancer Institute Montpellier,
Montpellier, France (S.N.); Department of Radiology, McGill University,
Montreal, Quebec, Canada (C.R.); Department of Radiology, University of
Wisconsin School of Medicine and Public Health, Madison, Wis (E.S.); and
Department of Radiology, Georgetown University School of Medicine, Washington,
DC (S.A.)
| | - Jian Qun Huang
- From the Departments of Radiology (N.H., S.K.) and Gynecology
(J.Q.H.), NYU Grossman School of Medicine, 660 First Ave, 3rd Floor, New York,
NY 10016; Department of Radiology, Université Paris Cité, AP-HP,
Hôpital Européen Georges Pompidou, PARCC UMRS 970, INSERM, Paris,
France (L.F.); Department of Radiology, Memorial Sloan Kettering Cancer Center,
New York, NY (Y.L.); Department of Radiology, Cancer Institute Montpellier,
Montpellier, France (S.N.); Department of Radiology, McGill University,
Montreal, Quebec, Canada (C.R.); Department of Radiology, University of
Wisconsin School of Medicine and Public Health, Madison, Wis (E.S.); and
Department of Radiology, Georgetown University School of Medicine, Washington,
DC (S.A.)
| | - Susan Ascher
- From the Departments of Radiology (N.H., S.K.) and Gynecology
(J.Q.H.), NYU Grossman School of Medicine, 660 First Ave, 3rd Floor, New York,
NY 10016; Department of Radiology, Université Paris Cité, AP-HP,
Hôpital Européen Georges Pompidou, PARCC UMRS 970, INSERM, Paris,
France (L.F.); Department of Radiology, Memorial Sloan Kettering Cancer Center,
New York, NY (Y.L.); Department of Radiology, Cancer Institute Montpellier,
Montpellier, France (S.N.); Department of Radiology, McGill University,
Montreal, Quebec, Canada (C.R.); Department of Radiology, University of
Wisconsin School of Medicine and Public Health, Madison, Wis (E.S.); and
Department of Radiology, Georgetown University School of Medicine, Washington,
DC (S.A.)
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The role of multiparametric MRI in differentiating uterine leiomyosarcoma from benign degenerative leiomyoma and leiomyoma variants: a retrospective analysis. Clin Radiol 2023; 78:47-54. [PMID: 36220736 DOI: 10.1016/j.crad.2022.08.144] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 08/14/2022] [Accepted: 08/26/2022] [Indexed: 01/07/2023]
Abstract
AIM To assess qualitative and quantitative magnetic resonance imaging (MRI) factors that can help distinguish leiomyosarcoma (LMS) from benign degenerative leiomyoma (BDL) and leiomyoma variants (LV) and assess the interobserver agreement for the proposed quantitative factors. MATERIALS AND METHODS Retrospective analysis of all histopathology proven cases of LV, BDL, and LMS with a preoperative MRI was performed. Twenty-seven cases were included (five LMS, three LV, and 19 BDL) with each case independently read by a pair of radiologists. Lesion size, margins, presence or absence of degeneration, necrosis, and haemorrhage were assessed on MRI along with quantitative factors such as mean T2-weighted (W) and T1W signal intensity, T1W signal heterogeneity, diffusion-weighted imaging (DWI), and apparent diffusion coefficient (ADC) ratios as well as dynamic contrast enhancement (DCE) characteristics along with the presence or absence of lymphadenopathy and extra-uterine and peritoneal spread. Mean and standard deviation for quantitative variables and frequency with percentages for qualitative variables were assessed. RESULTS Infiltrative margins were seen exclusively in the LMS group (n=1), with the remaining LMS cases showing lobulate or rounded smooth margins similar to BDL or LV. A high T2W signal <25% was seen exclusively in the BDL group (n=8). The presence of concomitant necrosis and haemorrhage was seen exclusively in the LMS group (n=2). Quantitative MRI had good inter-reader correlation but was not significantly different between the LMS, BDL, and LV groups. CONCLUSION LMS, BDL, and LV may have overlapping features on multiparametric MRI making differentiation difficult.
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9
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Ke Y, You L, Xu Y, Wu D, Lin Q, Wu Z. DPP6 and MFAP5 are associated with immune infiltration as diagnostic biomarkers in distinguishing uterine leiomyosarcoma from leiomyoma. Front Oncol 2022; 12:1084192. [PMID: 36531033 PMCID: PMC9748670 DOI: 10.3389/fonc.2022.1084192] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Accepted: 11/16/2022] [Indexed: 12/08/2023] Open
Abstract
OBJECTIVE Uterine leiomyosarcoma (ULMS) is the most common subtype of uterine sarcoma and is difficult to discern from uterine leiomyoma (ULM) preoperatively. The aim of the study was to determine the potential and significance of immune-related diagnostic biomarkers in distinguishing ULMS from ULM. METHODS Two public gene expression profiles (GSE36610 and GSE64763) from the GEO datasets containing ULMS and ULM samples were downloaded. Differentially expressed genes (DEGs) were selected and determined among 37 ULMS and 25 ULM control samples. The DEGs were used for Gene Ontology (GO), Kyoto Encyclopaedia of Genes and Genomes (KEGG) and Disease Ontology (DO) enrichment analyses as well as gene set enrichment analysis (GSEA). The candidate biomarkers were identified by least absolute shrinkage and selection operator (LASSO) and support vector machine recursive feature elimination (SVM-RFE) analyses. The receiver operating characteristic curve (ROC) was applied to evaluate diagnostic ability. For further confirmation, the biomarker expression levels and diagnostic value in ULMS were verified in the GSE9511 and GSE68295 datasets (12 ULMS and 10 ULM), and validated by immunohistochemistry (IHC). The CIBERSORT algorithm was used to calculate the compositional patterns of 22 types of immune cells in ULMS. RESULT In total, 55 DEGs were recognized via GO analysis, and KEGG analyses revealed that the DEGs were enriched in nuclear division, and cell cycle. The recognized DEGs were primarily implicated in non-small cell lung carcinoma and breast carcinoma. Gene sets related to the cell cycle and DNA replication were activated in ULMS. DPP6 and MFAP5 were distinguished as diagnostic biomarkers of ULMS (AUC = 0.957, AUC = 0.899, respectively), and they were verified in the GSE9511 and GSE68295 datasets (AUC = 0.983, AUC = 0.942, respectively). The low expression of DPP6 and MFAP5 were associated with ULMS. In addition, the analysis of the immune microenvironment indicated that resting mast cells were positively correlated with DPP6 and MFAP5 expression and that eosinophils and M0 macrophages were negatively correlated with DPP6 expression (P<0.05). CONCLUSION These findings indicated that DPP6 and MFAP5 are diagnostic biomarkers of ULMS, thereby offering a novel perspective for future studies on the occurrence, function and molecular mechanisms of ULMS.
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Affiliation(s)
- Yumin Ke
- Department of Gynecology and Obstetrics, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China
| | - LiuXia You
- Department of Clinical Laboratory, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China
| | - YanJuan Xu
- Department of Pathology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China
| | - Dandan Wu
- Department of Gynecology, The First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, Fujian, China
| | - Qiuya Lin
- Department of Gynecology and Obstetrics, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China
| | - Zhuna Wu
- Department of Gynecology and Obstetrics, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China
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10
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Preoperative Differentiation of Uterine Leiomyomas and Leiomyosarcomas: Current Possibilities and Future Directions. Cancers (Basel) 2022; 14:cancers14081966. [PMID: 35454875 PMCID: PMC9029111 DOI: 10.3390/cancers14081966] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 04/11/2022] [Accepted: 04/11/2022] [Indexed: 01/03/2023] Open
Abstract
The distinguishing of uterine leiomyosarcomas (ULMS) and uterine leiomyomas (ULM) before the operation and histopathological evaluation of tissue is one of the current challenges for clinicians and researchers. Recently, a few new and innovative methods have been developed. However, researchers are trying to create different scales analyzing available parameters and to combine them with imaging methods with the aim of ULMs and ULM preoperative differentiation ULMs and ULM. Moreover, it has been observed that the technology, meaning machine learning models and artificial intelligence (AI), is entering the world of medicine, including gynecology. Therefore, we can predict the diagnosis not only through symptoms, laboratory tests or imaging methods, but also, we can base it on AI. What is the best option to differentiate ULM and ULMS preoperatively? In our review, we focus on the possible methods to diagnose uterine lesions effectively, including clinical signs and symptoms, laboratory tests, imaging methods, molecular aspects, available scales, and AI. In addition, considering costs and availability, we list the most promising methods to be implemented and investigated on a larger scale.
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11
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Mondelli B, Walker WJ, Dhanoya T, Morton K. Uterine Fibroid Embolization in a Series of Women Older Than 50 Years: An Observational Study. WOMEN'S HEALTH REPORTS 2022; 3:238-242. [PMID: 35262062 PMCID: PMC8896223 DOI: 10.1089/whr.2021.0057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Accepted: 01/14/2022] [Indexed: 11/18/2022]
Abstract
Objective: Women older than 50 years, and in particular postmenopausal, are not usually considered candidate for uterine artery embolization (UAE). We reviewed the outcome of UAE in a series of women older than 50 years, who presented with different symptoms of uterus enlargement. Population: Women referred to the radiologist from gynecologists in the United Kingdom with minimal age over 50 years. Methods: This is a retrospective observational study. The clinical criteria are women older than 50 years with symptoms related to large fibroids affecting their quality of life, who underwent UAE over a 4-year period at Royal Surrey Foundation Trust Hospital and London Clinic between 2012 and 2016. We retrieved the information from the patients' hospital notes and respective images, including magnetic resonance and ultrasound of the pelvis, and from questionnaires and telephone reviews. Main Outcome Measures: We measured the reduction of uterine size, complications, and overall satisfaction of patients. Results: The overall reduction of uterine size 8 weeks following UAE was between 50% and 64% in 12 out of 23 patients. Thirty-five percent of patients (8/23) experienced a reduction of over 65% of overall uterine volume. Only on 2 occasions, the reduction was below 50%. We asked the patients if they would recommend this operation. Twenty out of 23 would recommend it. Improvement of symptoms was measured with a scale between 0 and 5. Twelve out of 23 had total resolution of symptoms—no change in 1 case. One patient underwent a hysterectomy as symptoms persisted. Conclusions: In our series of women older than 50 years, UAE was an effective alternative to surgery, with reduction in fibroid size and improvement of symptoms.
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Affiliation(s)
- Benedetto Mondelli
- Department of Obstetrics and Gynaecology, Surrey and Sussex Healthcare NHS Trust, Redhill, United Kingdom
| | - Woodruff John Walker
- Interventional Radiology, Royal Surrey County Hospital, Guildford, United Kingdom
| | - Tanveer Dhanoya
- Department of Obstetrics and Gynaecology, Royal Surrey County Hospital, Guildford, United Kingdom
| | - Karen Morton
- Department of Obstetrics and Gynaecology, Royal Surrey County Hospital, Guildford, United Kingdom
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12
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Sousa FAE, Ferreira J, Cunha TM. MR Imaging of uterine sarcomas: a comprehensive review with radiologic-pathologic correlation. Abdom Radiol (NY) 2021; 46:5687-5706. [PMID: 34468798 DOI: 10.1007/s00261-021-03263-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 08/22/2021] [Accepted: 08/23/2021] [Indexed: 02/07/2023]
Abstract
The aim of this article is to summarize the MRI features of each sarcoma subtype and to correlate them with its pathological findings. Literature review through PubMed/Medline database to identify relevant articles on uterine sarcomas, with a special emphasis on their MRI findings and pathological features. While several, more generalistic, MRI findings of a uterine tumour should raise suspicion for malignancy (including irregular contour, intra-tumoral necrosis/hemorrhage and low ADC values), some particular features may suggest their specific histological subtype such as the gross lymphovascular invasion associated with endometrial stromal sarcomas, the "bag of worms" appearance of the low-grade endometrial stromal sarcoma and the "lattice-like" aspect of adenosarcomas which results from the mixed composition of solid and multiseptated cystic components. Knowledge of the different histological uterine sarcoma subtypes, their specific MRI features and comprehension of their pathological background allows for a more confident diagnosis and may indicate the correct histological subtype.
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Affiliation(s)
- Filipa Alves E Sousa
- Department of Radiology, Centro Hospitalar Universitário de Lisboa Central, Alameda Santo António dos Capuchos, 1169-050, Lisbon, Portugal.
| | - Joana Ferreira
- Department of Pathology, Instituto Português de Oncologia de Lisboa Francisco Gentil, R. Prof. Lima Basto, 1099-023, Lisbon, Portugal
- Nova Medical School, Universidade Nova de Lisboa, Lisbon, Portugal
| | - Teresa Margarida Cunha
- Department of Radiology, Instituto Português de Oncologia de Lisboa Francisco Gentil, R. Prof. Lima Basto, 1099-023, Lisbon, Portugal
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Cavaliere AF, Vidiri A, Gueli Alletti S, Fagotti A, La Milia MC, Perossini S, Restaino S, Vizzielli G, Lanzone A, Scambia G. Surgical Treatment of "Large Uterine Masses" in Pregnancy: A Single-Center Experience. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph182212139. [PMID: 34831895 PMCID: PMC8618779 DOI: 10.3390/ijerph182212139] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 11/15/2021] [Accepted: 11/16/2021] [Indexed: 11/16/2022]
Abstract
Uterine myomas or uterine fibroids are the most common benign uterine masses affecting women. The management of large myoma during pregnancy is challenging, and surgical treatment is a possible option. We report nine cases of pregnant women affected by uterine masses larger than 10 cm, who underwent surgical treatment during the second trimester of pregnancy. In all cases, the masses were preconceptionally unknown and diagnosed during the first trimester. In eight cases, no maternal and fetal complications arose during or after surgical treatment and delivery occurred at full term of pregnancy. In one case, spontaneous abortion was recorded. In all cases, histologic diagnosis demonstrated the benign nature. Women affected by large uterine masses diagnosed for the first time in pregnancy could be taken into consideration for surgical treatment in a referral center during the second trimester.
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Affiliation(s)
- Anna Franca Cavaliere
- Obstetrics and Gynaecology Unit, Santo Stefano Hospital, AUSL Toscana Centro, 59100 Prato, Italy
- Correspondence: ; Tel.: +39-338-315-3054
| | - Annalisa Vidiri
- Università Cattolica del Sacro Cuore, 00168 Rome, Italy; (A.V.); (M.C.L.M.); (S.P.); (A.L.); (G.S.)
| | - Salvatore Gueli Alletti
- Division of Gynecologic Oncology, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy; (S.G.A.); (A.F.)
| | - Anna Fagotti
- Division of Gynecologic Oncology, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy; (S.G.A.); (A.F.)
| | - Maria Concetta La Milia
- Università Cattolica del Sacro Cuore, 00168 Rome, Italy; (A.V.); (M.C.L.M.); (S.P.); (A.L.); (G.S.)
| | - Silvia Perossini
- Università Cattolica del Sacro Cuore, 00168 Rome, Italy; (A.V.); (M.C.L.M.); (S.P.); (A.L.); (G.S.)
| | - Stefano Restaino
- Division of Obstetrics and Gynecology, University Hospital of Udine, Azienda Sanitaria Universitaria Friuli Centrale, 33100 Udine, Italy; (S.R.); (G.V.)
| | - Giuseppe Vizzielli
- Division of Obstetrics and Gynecology, University Hospital of Udine, Azienda Sanitaria Universitaria Friuli Centrale, 33100 Udine, Italy; (S.R.); (G.V.)
| | - Antonio Lanzone
- Università Cattolica del Sacro Cuore, 00168 Rome, Italy; (A.V.); (M.C.L.M.); (S.P.); (A.L.); (G.S.)
- Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy
| | - Giovanni Scambia
- Università Cattolica del Sacro Cuore, 00168 Rome, Italy; (A.V.); (M.C.L.M.); (S.P.); (A.L.); (G.S.)
- Division of Gynecologic Oncology, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy; (S.G.A.); (A.F.)
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14
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Najibi S, Gilani MM, Zamani F, Akhavan S, Zamani N. Comparison of the diagnostic accuracy of contrast-enhanced/DWI MRI and ultrasonography in the differentiation between benign and malignant myometrial tumors. Ann Med Surg (Lond) 2021; 70:102813. [PMID: 34691413 PMCID: PMC8519770 DOI: 10.1016/j.amsu.2021.102813] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Revised: 08/28/2021] [Accepted: 09/03/2021] [Indexed: 01/11/2023] Open
Abstract
Background Various modalities including ultrasonography and magnetic resonance imaging (MRI) have been developed as imaging technique for screening malignant myometrial tumors, but a few studies assessed the diagnostic value of these two techniques in differentiation of benign from malignant myometrial tumors that had been the main purpose of this study. Materials and methods This cross-sectional study was performed on 63 women underwent surgery for intrauterine masses that were initially assessed using MRI and ultrasound before surgery at a tertiary hospital in Tehran from 2016 to 2020. Their MRI was reviewed by a reputable radiologist in the field. The findings of histopathological assessment were considered as the gold diagnostic standard. Results The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy of MRI to detect sarcoma were revealed to be 94.6%, 92.3%, 94.6%, 92.3%, and 93.7% respectively. Ultrasonography had not preferable applicability to differentiate sarcoma from benign tumors with sensitivity, specificity, PPV, NPV and accuracy of 35.1%, 88.4%, 81.2%, 48.9%, and 57.1% respectively. The diagnostic performance of both modalities was not affected by baseline clinical conditions including pain, abnormal uterine bleeding and menopausal status. Conclusion MRI but not ultrasonography can effectively differentiate benign from malignant myometrial tumors. Pretreatment Diagnosis of malignant myometrial tumors may be challenging. MRI with DWI can be considered as a diagnostic tool in leiomyosarcoma. Pretreatment distinction between benign and malignant myometrial tumors is necessary.
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Affiliation(s)
- Shaparak Najibi
- Department of Obstetrics and Gynecology, Vali-Asr Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Mitra Modares Gilani
- Department of Gynecologic Oncology, Vali-Asr Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Zamani
- Department of Radiology, Children Medical Center of Excellence, Tehran University of Medical Sciences, Tehran, Iran
| | - Setare Akhavan
- Department of Gynecologic Oncology, Vali-Asr Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Narges Zamani
- Department of Gynecologic Oncology, Vali-Asr Hospital, Tehran University of Medical Sciences, Tehran, Iran
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15
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Jagannathan JP, Steiner A, Bay C, Eisenhauer E, Muto MG, George S, Fennessy FM. Differentiating leiomyosarcoma from leiomyoma: in support of an MR imaging predictive scoring system. Abdom Radiol (NY) 2021; 46:4927-4935. [PMID: 34075468 DOI: 10.1007/s00261-021-03132-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Revised: 05/08/2021] [Accepted: 05/19/2021] [Indexed: 11/29/2022]
Abstract
PURPOSE The purpose of this study was to determine the Magnetic Resonance (MR) imaging features that best differentiate leiomyosarcoma (LMS) from leiomyoma, and to explore a scoring system to preoperatively identify those at highest risk of having LMS. METHODS Our Institutional Review Board approved this retrospective HIPAA-compliant study with a waiver for written informed consent. Institutional Research Patient Data Registry identified patients with histopathologically-proven LMS (n = 19) or leiomyoma (n = 25) and a pelvic MRI within six months prior to surgery. Qualitative differentiating MRI features were selected based on prior publications and clinical experience. Patient and MRI characteristics for leiomyomas versus LMS were compared using Wilcoxon rank-sum tests or Fisher's exact tests and using a basic classification tree. Hypothesis testing was two-tailed, with a p value < 0.001 used to determine inclusion of variables into an MR imaging predictive (MRP) score. Diagnostic performance [sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV)] of the MRP in diagnosis of LMS used all possible scores as cutoffs. RESULTS Seven out of 15 MRI features were found to have an association with LMS. The final MRP scores ranged from 0 to 7: a score of 0-3 was associated with 100% NPV for LMS, and a MRP score of 6-7 with 100% PPV for LMS. CONCLUSION Seven qualitative MR imaging features, extracted from a standard MR imaging protocol, allow differentiation of LMS from leiomyoma. An exploratory risk stratification MRP score can be used to determine the likelihood of LMS being present.
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Affiliation(s)
- Jyothi P Jagannathan
- Department of Radiology, Harvard Medical School, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA
| | - Aida Steiner
- Department of Radiology, Turku University Hospital, University of Turku, Kiinamyllynkatu 4-8, 20521, Turku, Finland
| | - Camden Bay
- Department of Radiology, Harvard Medical School, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA
- Department of Medicine/Biostatistics, Harvard Medical School, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA
| | - Eric Eisenhauer
- Department of Gynecologic Oncology, Harvard Medical School, Massachusetts General Hospital, 55 Fruit St, Boston, MA, 02214, USA
| | - Michael G Muto
- Division of Surgical Oncology, Harvard Medical School, Dana Farber Cancer Institute, 450 Brookline Avenue, Boston, MA, 02215, USA
| | - Suzanne George
- Department of Medical Oncology, Harvard Medical School, Dana Farber Cancer Institute, 450 Brookline Avenue, Boston, MA, 02215, USA
| | - Fiona M Fennessy
- Department of Radiology, Harvard Medical School, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA.
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16
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Smith J, Zawaideh JP, Sahin H, Freeman S, Bolton H, Addley HC. Differentiating uterine sarcoma from leiomyoma: BET1T2ER Check! Br J Radiol 2021; 94:20201332. [PMID: 33684303 PMCID: PMC9327746 DOI: 10.1259/bjr.20201332] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Although rare, uterine sarcoma is a diagnosis that no one wants to miss. Often benign leiomyomas (fibroids) and uterine sarcomas can be differentiated due to the typical low T2 signal intensity contents and well-defined appearances of benign leiomyomas compared to the suspicious appearances of sarcomas presenting as large uterine masses with irregular outlines and intermediate T2 signal intensity together with possible features of secondary spread. The problem is when these benign lesions are atypical causing suspicious imaging features. This article provides a review of the current literature on imaging features of atypical fibroids and uterine sarcomas with an aide-memoire BET1T2ER Check! to help identify key features more suggestive of a uterine sarcoma.
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Affiliation(s)
- Janette Smith
- Department of Radiology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Jeries Paolo Zawaideh
- Department of Radiology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Hilal Sahin
- Department of Radiology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Susan Freeman
- Department of Radiology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Helen Bolton
- Department of Gynaecological Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Helen Clare Addley
- Department of Radiology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
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17
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Sahin H, Smith J, Zawaideh JP, Shakur A, Carmisciano L, Caglic I, Bruining A, Jimenez-Linan M, Freeman S, Addley H. Diagnostic interpretation of non-contrast qualitative MR imaging features for characterisation of uterine leiomyosarcoma. Br J Radiol 2021; 94:20210115. [PMID: 34111973 DOI: 10.1259/bjr.20210115] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
OBJECTIVE To assess the value of non-contrast MRI features for characterisation of uterine leiomyosarcoma (LMS) and differentiation from atypical benign leiomyomas. METHODS This study included 57 atypical leiomyomas and 16 LMS which were referred pre-operatively for management review to the specialist gynaeoncology multidisciplinary team meeting. Non-contrast MRIs were retrospectively reviewed by five independent readers (three senior, two junior) and a 5-level Likert score (1-low/5-high) was assigned to each mass for likelihood of LMS. Evaluation of qualitative and quantitative MRI features was done using uni- and multivariable regression analysis. Inter-reader reliability for the assessment of MRI features was calculated by using Cohen's κ values. RESULTS In the univariate analysis, interruption of the endometrial interface and irregular tumour shape had the highest odds ratios (ORs) (64.00, p < 0.001 and 12.00, p = 0.002, respectively) for prediction of LMS. Likert score of the mass was significant in prediction (OR, 3.14; p < 0.001) with excellent reliability between readers (ICC 0.86; 95% CI, 0.76-0.92). The post-menopausal status, interruption of endometrial interface and thickened endometrial stripe were the most predictive independent variables in multivariable estimation of the risk of leiomyosarcoma with an accuracy of 0.88 (95%CI, 0.78-0.94). CONCLUSION At any level of expertise as a radiologist reader, the loss of the normal endometrial stripe (either thickened or not seen) in a post-menopausal patient with a myometrial mass was highly likely to be LMS. ADVANCES IN KNOWLEDGE This study demonstrates the potential utility of non-contrast MRI features in characterisation of LMS over atypical leiomyomas, and therefore influence on optimal management of these cases.
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Affiliation(s)
- Hilal Sahin
- Department of Radiology, School of Clinical Medicine, University of Cambridge, Cambridge, UK.,Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK.,Tepecik Training and Research Hospital, University of Health Sciences, Izmir, Turkey
| | - Janette Smith
- Department of Radiology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Jeries Paolo Zawaideh
- Department of Radiology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Amreen Shakur
- Department of Radiology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Luca Carmisciano
- Department of Health Sciences (DISSAL), Biostatistics section, University of Genoa, Genoa, Italy
| | - Iztok Caglic
- Department of Radiology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Annemarie Bruining
- Department of Radiology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Mercedes Jimenez-Linan
- Department of Histopathology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Sue Freeman
- Department of Radiology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Helen Addley
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK.,Department of Radiology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
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Zhan X, Zhou H, Sun Y, Shen B, Chou D. Long non-coding ribonucleic acid H19 and ten-eleven translocation enzyme 1 messenger RNA expression levels in uterine fibroids may predict their postoperative recurrence. Clinics (Sao Paulo) 2021; 76:e2671. [PMID: 34644730 PMCID: PMC8478142 DOI: 10.6061/clinics/2021/e2671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 08/16/2021] [Indexed: 11/23/2022] Open
Abstract
OBJECTIVES To investigate the predictive value of long non-coding RNA (lncRNA) H19 and the ten-eleven translocation enzyme 1 (TET1) transcriptional expression in postoperative recurrence of uterine fibroids (UFs). METHODS Seventy-five patients with UF, who underwent surgical treatment, were enrolled in the treatment group, and 60 healthy individuals were enrolled in the control group. The relative expression levels of lncRNA H19 and TET1 mRNA in the serum and UF tissues were analyzed. The patients were further divided into a better curative (BC) group and a poor efficacy (PE) group to analyze the predictive value of lncRNA H19 and TET1 and the independent risk factors affecting the recurrence of UF. RESULTS Compared with the control group, lncRNA H19 expression levels were significantly higher, while TET1 expression levels were significantly lower in the treatment group (p<0.001). The area under the receiver operating characteristic (ROC) curve (AUC) values of the two indicators for diagnostic importance were found to be 0.872 and 0.826, respectively. Compared with the PE group, lncRNA H19 expression levels were significantly lower, while TET1 expression levels were significantly higher in the BC group (p<0.001). The AUC values of the two indicators for their predictive efficacy were 0.788 and 0.812, respectively. Logistic regression analysis showed that age, menarche age, maximum diameter of UFs, number of UFs, lncRNA H19 levels, and TET1 levels were independent risk factors affecting UF recurrence. The AUC values of lncRNA H19 and TET1 for their predictive value for postoperative recurrence were 0.814 and 0.765, respectively. CONCLUSIONS The lncRNA H19 and TET1 have high diagnostic and predictive efficacy for determining the postoperative recurrence of UFs.
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Affiliation(s)
- Xiangjuan Zhan
- Department of Gynecology, The Second People's Hospital of Rizhao, Rizhao, Shandong, China
| | - Hui Zhou
- Department of Obstetrics and Gynecology, The Second People's Hospital of Dongying, Dongying, Shandong, China
| | - Yuhong Sun
- Department of Gynecology, The Second People's Hospital of Rizhao, Rizhao, Shandong, China
| | - Baomei Shen
- Department of Oncology, Binzhou Hospital of Traditional Chinese Medicine, Binzhou, Shandong, China
| | - Di Chou
- Department of Obstetrics and Gynecology, The People's Hospital of Pingyi County, Linyi, Shandong, China
- Corresponding author. E-mail:
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Diagnostic Performance of MRI to Differentiate Uterine Leiomyosarcoma from Benign Leiomyoma: A Meta-Analysis. J Belg Soc Radiol 2020; 104:69. [PMID: 33283149 PMCID: PMC7693867 DOI: 10.5334/jbsr.2275] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
Purpose: To perform a meta-analysis comparing the diagnostic performance of increased signal intensity on T1- and T2-weighted magnetic resonance images and apparent diffusion coefficient (ADC) values in differentiating uterine leiomyosarcoma (LMS) from benign leiomyoma (LM). Methods: A systematic literature search for original studies was performed using PubMed/MEDLINE, the Cochrane Library, Embase, and Web of Science. Data necessary for the meta-analysis was extracted from the selected articles and analyzed. Results: Eight studies with 795 patients met our predefined inclusion criteria and were included in the analysis. Increased signal on T1-weighted imaging had a pooled sensitivity of 56.8% (95% CI: 20%–87.4%) for LMS (n = 60) which was significantly higher than 7.6% (95% CI: 2.2%–22.7%) for LM (n = 1272) (p = 0.0094). Increased signal analysis on T2-weighted imaging had a pooled sensitivities of 93.2% and 93.2% (95% CI: 45.7%–99.6% and 42.9%–99.6%) for LMS (n = 90), which were not significantly different from the 54.5% and 53.9% (95% CI: 33.6%–74%, 32%–74%) for LM (n = 215) (p = 0.102 and 0.112). On ADC value analysis, LMS (n = 43) had a weighted mean and standard deviation of 0.896 ± 0.19 10–3 mm2/s, 0.929 ± 0.182 10–3 mm2/s, which were significantly lower from 1.258 ± 0.303 10–3 mm2/s, 1.304 ± 0.303 10–3 mm2/s for LM (n = 159) (p = < 0.0001, < 0.0001). Conclusion: Our meta-analysis demonstrated that high signal intensity on T1-weighted images and low ADC values can accurately differentiate LMS from LM. Although, LMS had a higher pooled sensitivity for T2-weighted increased signal intensity compared to LM, there was no statistical significance.
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Affiliation(s)
- Ramiro J Méndez
- From the Department of Radiology, Abdominal Radiology Section, Hospital Clínico San Carlos, C. Martín Lagos s.n., 28040 Madrid, Spain
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21
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Differential Diagnosis of Uterine Leiomyoma and Uterine Sarcoma using Magnetic Resonance Images: A Literature Review. Healthcare (Basel) 2019; 7:healthcare7040158. [PMID: 31817500 PMCID: PMC6955943 DOI: 10.3390/healthcare7040158] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Accepted: 11/25/2019] [Indexed: 02/06/2023] Open
Abstract
MRI plays an essential role in patients before treatment for uterine mesenchymal malignancies. Although MRI includes methods such as diffusion-weighted imaging and dynamic contrast-enhanced MRI, the differentiation between uterine myoma and sarcoma always becomes problematic. The present paper discusses important findings to ensure that sarcomas are not overlooked in magnetic resonance (MR) images, and we describe the update in the differentiation between uterine leiomyoma and sarcoma with recent reports.
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Sun S, Bonaffini PA, Nougaret S, Fournier L, Dohan A, Chong J, Smith J, Addley H, Reinhold C. How to differentiate uterine leiomyosarcoma from leiomyoma with imaging. Diagn Interv Imaging 2019; 100:619-634. [PMID: 31427216 DOI: 10.1016/j.diii.2019.07.007] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Revised: 07/14/2019] [Accepted: 07/15/2019] [Indexed: 12/16/2022]
Abstract
Uterine leiomyomas, the most frequent benign myomatous tumors of the uterus, often cannot be distinguished from malignant uterine leiomyosarcomas using clinical criteria. Furthermore, imaging differentiation between both entities is frequently challenging due to their potential overlapping features. Because a suspected leiomyoma is often managed conservatively or with minimally invasive treatments, the misdiagnosis of leiomyosarcoma for a benign leiomyoma could potentially result in significant treatment delays, therefore increasing morbidity and mortality. In this review, we provide an overview of the differences between leiomyoma and leiomyosarcoma, mainly focusing on imaging characteristics, but also briefly touching upon their demographic, histopathological and clinical differences. The main indications and limitations of available cross-sectional imaging techniques are discussed, including ultrasound, computed tomography, magnetic resonance imaging (MRI) and positron emission tomography/computed tomography. A particular emphasis is placed on the review of specific MRI features that may allow distinction between leiomyomas and leiomyosarcomas according to the most recent evidence in the literature. The potential contribution of texture analysis is also discussed. In order to help guide-imaging diagnosis, we provide an MRI-based diagnostic algorithm which takes into account morphological and functional features, both individually and in combination, in an attempt to optimize radiologic differentiation of leiomyomas from leiomyosarcomas.
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Affiliation(s)
- S Sun
- Department of Radiology, McGill University Health Centre, 1001 Decarie boulevard, H4A 3J1 Montreal, QC, Canada.
| | - P A Bonaffini
- Department of Radiology, McGill University Health Centre, 1001 Decarie boulevard, H4A 3J1 Montreal, QC, Canada
| | - S Nougaret
- Inserm, U1194, Department of Radiology, Montpellier Cancer Institute, University of Montpellier, 34295 Montpellier, France
| | - L Fournier
- Université de Paris, Descartes-Paris 5, 75006 Paris, France; Department of Radiology, Hôpital Européen Georges Pompidou, Assistance Publique-Hôpitaux de Paris, 75015 Paris, France
| | - A Dohan
- Université de Paris, Descartes-Paris 5, 75006 Paris, France; Department of Radiology A, Hôpital Cochin, Assistance Publique-Hôpitaux de Paris, 75014 Paris, France
| | - J Chong
- Department of Radiology, McGill University Health Centre, 1001 Decarie boulevard, H4A 3J1 Montreal, QC, Canada
| | - J Smith
- Department of Radiology, Cambridge University Hospitals, NHS Foundation Trust, CB2 0QQ Cambridge, United Kingdom
| | - H Addley
- Department of Radiology, Cambridge University Hospitals, NHS Foundation Trust, CB2 0QQ Cambridge, United Kingdom
| | - C Reinhold
- Department of Radiology, McGill University Health Centre, 1001 Decarie boulevard, H4A 3J1 Montreal, QC, Canada
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Gadducci A, Zannoni GF. Uterine smooth muscle tumors of unknown malignant potential: A challenging question. Gynecol Oncol 2019; 154:631-637. [PMID: 31326137 DOI: 10.1016/j.ygyno.2019.07.002] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Revised: 06/26/2019] [Accepted: 07/01/2019] [Indexed: 12/11/2022]
Abstract
Uterine smooth muscle tumors of unknown malignant potential [STUMP]s are neoplasms with pathological features that preclude an equivocal diagnosis of leiomyosarcoma, but that do not fulfill the criteria for leiomyoma or its variants, and raise concerns that the tumors may behave in a malign fashion. Total hysterectomy with or without bilateral salpingo-oophorectomy is the standard treatment if fertility is completed, whereas myomectomy alone can be taken into consideration in young patients who desire to preserve childbearing potential. A careful surveillance every 6 months for 5 years and then yearly is strongly warranted. Patients with STUMP can relapse as either STUMP or leiomyosarcoma in approximately 11-13% of the cases, and their 5-year overall survival ranges from 92 to 100%. The present paper reviews the clinicopathological features of uterine STUMPs with a particular focus on most commonly accepted histopathological criteria for the diagnosis and on biological behaviour of these controversial neoplasms.
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Affiliation(s)
- Angiolo Gadducci
- Department of Clinical and Experimental Medicine, Division of Gynecology and Obstetrics, University of Pisa, Italy.
| | - Gian Franco Zannoni
- Division of Anatomic Pathology and Histology - Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore School of Medicine, Rome, Italy
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Uterine Leiomyosarcoma: Can MRI Differentiate Leiomyosarcoma From Benign Leiomyoma Before Treatment? AJR Am J Roentgenol 2018; 211:1405-1415. [PMID: 30354268 DOI: 10.2214/ajr.17.19234] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
OBJECTIVE The purpose of this article is to provide background on the epidemiologic, clinical, and economic impact of uterine leiomyomas, summarize the concerns associated with treating women with potential occult leiomyosarcomas (LMSs), and review the known and emerging imaging features of typical and atypical leiomyomas and explain how to differentiate them from LMSs. CONCLUSION Surgical management of presumed benign uterine leiomyomas received popular media attention when a case of disseminated LMS occurred after laparoscopic power morcellator-assisted hysterectomy. A subsequent U.S. Food and Drug Administration review found a higher prevalence of unsuspected uterine sarcoma and LMS among patients undergoing myomectomy or hysterectomy for presumed benign leiomyomas than was previously reported. This heightened concern has led to increased pressure on radiologists to distinguish LMSs from leiomyomas.
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