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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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Artificial intelligence-aided method to detect uterine fibroids in ultrasound images: a retrospective study. Sci Rep 2023; 13:3714. [PMID: 36878941 PMCID: PMC9988965 DOI: 10.1038/s41598-022-26771-1] [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: 09/24/2022] [Accepted: 12/20/2022] [Indexed: 03/08/2023] Open
Abstract
We explored a new artificial intelligence-assisted method to assist junior ultrasonographers in improving the diagnostic performance of uterine fibroids and further compared it with senior ultrasonographers to confirm the effectiveness and feasibility of the artificial intelligence method. In this retrospective study, we collected a total of 3870 ultrasound images from 667 patients with a mean age of 42.45 years ± 6.23 [SD] for those who received a pathologically confirmed diagnosis of uterine fibroids and 570 women with a mean age of 39.24 years ± 5.32 [SD] without uterine lesions from Shunde Hospital of Southern Medical University between 2015 and 2020. The DCNN model was trained and developed on the training dataset (2706 images) and internal validation dataset (676 images). To evaluate the performance of the model on the external validation dataset (488 images), we assessed the diagnostic performance of the DCNN with ultrasonographers possessing different levels of seniority. The DCNN model aided the junior ultrasonographers (Averaged) in diagnosing uterine fibroids with higher accuracy (94.72% vs. 86.63%, P < 0.001), sensitivity (92.82% vs. 83.21%, P = 0.001), specificity (97.05% vs. 90.80%, P = 0.009), positive predictive value (97.45% vs. 91.68%, P = 0.007), and negative predictive value (91.73% vs. 81.61%, P = 0.001) than they achieved alone. Their ability was comparable to that of senior ultrasonographers (Averaged) in terms of accuracy (94.72% vs. 95.24%, P = 0.66), sensitivity (92.82% vs. 93.66%, P = 0.73), specificity (97.05% vs. 97.16%, P = 0.79), positive predictive value (97.45% vs. 97.57%, P = 0.77), and negative predictive value (91.73% vs. 92.63%, P = 0.75). The DCNN-assisted strategy can considerably improve the uterine fibroid diagnosis performance of junior ultrasonographers to make them more comparable to senior ultrasonographers.
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Noblett D, Sekhon S, Corwin MT, Lamba R, McGahan JP. Retained Morbidly Adherent Placenta Presenting as a Myometrial Mass in Patients With Vaginal Bleeding: A Case Series and Review of Current Literature. Ultrasound Q 2022; 38:263-266. [PMID: 35426380 DOI: 10.1097/ruq.0000000000000612] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
ABSTRACT The differential diagnosis for a uterine mass and vaginal bleeding after abortion or delivery is broad and includes both benign and malignant causes. A rare etiology for this condition is retained morbidly adherent placenta. Few cases of retained morbidly adherent placenta presenting as a myometrial mass in the setting of vaginal bleeding have been described in the medical literature. In this case series and review of the current literature, we describe the ultrasound features of 3 retained morbidly adherent placentae, along with correlative magnetic resonance imaging findings.
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Affiliation(s)
- Dylan Noblett
- Department of Radiology, University of California, Davis Medical Center, Sacramento, CA
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Uterine leiomyomas revisited with review of literature. Abdom Radiol (NY) 2021; 46:4908-4926. [PMID: 34057564 DOI: 10.1007/s00261-021-03126-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Revised: 05/07/2021] [Accepted: 05/19/2021] [Indexed: 01/10/2023]
Abstract
Uterine leiomyomas, more commonly known as fibroids, are the most common neoplasms of the uterus. These tumors have a profound effect on health care and cost worldwide. Depending on the race, uterine leiomyomas can be seen in 70-80% of all women. Although majority of the women with uterine leiomyomas remain asymptomatic, approximately 30% can present with symptoms. Diagnosing typical leiomyomas on imaging is straightforward. However, when large, located extrauterine and especially with degeneration, the diagnosis can be challenging on imaging. In this article, apart from reviewing the demographics and management of patients with leiomyomas, we describe in detail the imaging appearance of various atypical leiomyomas, uncommon locations outside the uterus and their important differential diagnosis that can have a profound effect on patient management.
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Souftas V, Deuteraiou D, Anthoulaki X, Chalkidou A, Bothou A, Gaidatzi F, Tsypsianis G, Iatrakis G, Zervoudis S, Souftas D, Michalopoulos S, Vogiatzaki T, Galazios G, Nikolettos N, Tsikouras P. Significance of changes in inflammatory parameters following uterine artery embolization in pre-menopausal females. Exp Ther Med 2020; 19:3684-3690. [PMID: 32346432 PMCID: PMC7185183 DOI: 10.3892/etm.2020.8652] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Accepted: 12/19/2019] [Indexed: 12/29/2022] Open
Abstract
The purpose of the present study was to describe the course of changes in laboratory inflammatory markers following bilateral uterine artery embolization (UAE) as a treatment for leiomyomas and adenomyosis. The body temperature was measured and blood samples were collected to determine white blood cell (WBC) count and C-reactive protein (CRP) levels in 270 patients on the day prior to UAE and for up to 4 days post-embolization. Aside from a single case with a non-inflammatory complication, none of the other cases had any complications. Post-UAE leukocytosis with a mean maximum value of 10.8±3.5x109/l (range, 5.9-18.6x109/l) was observed one-year post-intervention. The mean leukocyte numbers were indicated to be higher on day 3 post-UAE. The CRP level was also increased post-UAE, with a mean maximum value of 7.75±3.5 mg/dl. Maximum levels were reached in 8 patients on the 2nd and in 11 patients on the 3rd post-operative day. The maximum pain score was ~5.5 and reached its lowest level at the end of the 12th week post-intervention. The present study did not consider an association between the embolic material used or uterus size with the level of treatment success. No complications were observed post-UAE; however, a significant increase in the WBC count was observed within the first 3 days, indicating mild leukocytosis.
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Affiliation(s)
- Vasileios Souftas
- Department of Interventional Radiology and Medical Imaging, Medical Faculty, Democritus University of Thrace, Alexandroupolis 68100, Greece
| | - Dorelia Deuteraiou
- Department of Obstetrics and Gynecology, Medical Faculty, Democritus University of Thrace, Alexandroupolis 68100, Greece
| | - Xanthoula Anthoulaki
- Department of Obstetrics and Gynecology, Medical Faculty, Democritus University of Thrace, Alexandroupolis 68100, Greece
| | - Anna Chalkidou
- Department of Obstetrics and Gynecology, Medical Faculty, Democritus University of Thrace, Alexandroupolis 68100, Greece
| | - Anastasia Bothou
- Department of Obstetrics and Mastology, Rea Hospital, Athens 17564, Greece
| | - Fotini Gaidatzi
- Department of Obstetrics and Gynecology, Medical Faculty, Democritus University of Thrace, Alexandroupolis 68100, Greece
| | - Grigorios Tsypsianis
- Department of Medical Statistics, Medical Faculty, Democritus University of Thrace, Alexandroupolis 68100, Greece
| | - Georgios Iatrakis
- University of West Attica, Department of Midwifery, Athens 17564, Greece
| | - Stefanos Zervoudis
- Department of Medical Statistics, Medical Faculty, Democritus University of Thrace, Alexandroupolis 68100, Greece
| | - Dimitrios Souftas
- Department of Social Administration, Democritus University of Thrace, Alexandroupolis 68100, Greece
| | - Spyridon Michalopoulos
- Department of Obstetrics and Gynecology, Medical Faculty, Democritus University of Thrace, Alexandroupolis 68100, Greece
| | - Theodosia Vogiatzaki
- Department of Anesthesiology and Pain Treatment, Democritus University of Thrace, Alexandroupolis 68100, Greece
| | - George Galazios
- Department of Obstetrics and Gynecology, Medical Faculty, Democritus University of Thrace, Alexandroupolis 68100, Greece
| | - Nikolaos Nikolettos
- Department of Obstetrics and Gynecology, Medical Faculty, Democritus University of Thrace, Alexandroupolis 68100, Greece
| | - Panagiotis Tsikouras
- Department of Obstetrics and Gynecology, Medical Faculty, Democritus University of Thrace, Alexandroupolis 68100, Greece
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