Carcinosarcoma (CS) is a rare neoplasm that is called a mixed epithelial and mesenchymal malignancy. CS of the uterine cervix is much less common than its counterparts in the uterine corpus. A 61-year-old, gravida 2, para 2 woman, who had undergone menopause 16 years prior to the presentation, was diagnosed with CS of the uterine cervix. A semiradical hysterectomy was carried out on the diagnosis of stage Ib1 cervical cancer. The patient underwent whole pelvic 45 Gy radiation as a postoperative additional treatment, but she died from multiple organ failure by metastasis 17 months after the operation. The tumor protruded from the cervix to the vagina and measured 4.5 x 3.0 cm. Histologically, the tumor was characterized as a squamous cell carcinoma and mesenchymal malignancy, represented by osteosarcomatous components. The stroma was largely composed of atypical spindle-shaped cells, which were immunohistochemically demonstrated to be of epithelial origin. Uterine cervical CS is one of the aggressive malignancies, and squamous cell carcinomas are common epithelial counterparts of cervical CS as well as adenocarcinomas.
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http://dx.doi.org/10.1111/j.1447-0756.2005.00310.x | DOI Listing |
BMJ Open
January 2025
Department of Obstetrics and Gynecology, Peking University First Hospital, Beijing, China
Objective: The presence of the microcystic elongated and fragmented (MELF) pattern, distinguished by its microcystic, elongated and fragmented attributes, constitutes a common manifestation of myometrial invasion (MI) within endometrial carcinoma. However, the prognostic significance of this pattern has not been definitively established. Consequently, this research aimed to clarify the prognostic implications of the MELF pattern for individuals diagnosed with endometrial carcinoma.
View Article and Find Full Text PDFCien Saude Colet
January 2025
Instituto René Rachou, Fundação Oswaldo Cruz (Fiocruz Minas). Av. Augusto de Lima 1715, Barro Preto. 30190-002 Belo Horizonte MG Brasil.
This article aims to identify the relationship between material deprivation and mortality from breast, cervical, and prostate neoplasms in the Brazilian adult population and the relationship between ethnicity/skin color and material deprivation. This cross-sectional ecological study calculated the mean mortality rate per 100,000 inhabitants, and deaths were standardized by age and gender and redistributed per to ill-defined causes, stratified by age group and ethnicity/skin color. We applied the Negative Binomial model, containing the interaction between ethnicity/skin color and the Brazilian Deprivation Index (IBP).
View Article and Find Full Text PDFJAMA Netw Open
January 2025
Department of Family Medicine, University of Michigan, Ann Arbor.
Importance: Cervical cancer screening is a crucial public health intervention, but screening disparities exist for women with physical disabilities (WWPD).
Objective: To explore the experiences of WWPD with both traditional speculum examination-based screening and at-home self-sampling for cervical cancer screening.
Design, Setting, And Participants: This qualitative study enrolled 56 WWPD to test self-sampling kits, provide feedback via a survey, and participate in a qualitative interview.
Int J Gynecol Cancer
January 2025
Bern University Hospital and University of Bern, Department of Obstetrics and Gynecology, Bern, Switzerland.
Objective: The aim of this study was to examine the role of pre-sacral sentinel lymph nodes (SLNs) in patients with uterine cancer.
Methods: This retrospective cohort study includes patients with endometrial or cervical cancer who underwent minimally invasive indocyanine green SLN mapping at the Bern University Hospital from December 2012 to December 2022. A complete ultra-staging of the SLNs was performed in all cases.
Int J Gynecol Cancer
January 2025
Institute of Image-Guided Surgery, IHU Strasbourg, France; University of Strasbourg, ICube, Laboratory of Engineering, Computer Science and Imaging, Department of Robotics, Imaging, Teledetection and Healthcare Technologies, CNRS, UMR, Strasbourg, France.
Objective: Evaluation of prognostic factors is crucial in patients with endometrial cancer for optimal treatment planning and prognosis assessment. This study proposes a deep learning pipeline for tumor and uterus segmentation from magnetic resonance imaging (MRI) images to predict deep myometrial invasion and cervical stroma invasion and thus assist clinicians in pre-operative workups.
Methods: Two experts consensually reviewed the MRIs and assessed myometrial invasion and cervical stromal invasion as per the International Federation of Gynecology and Obstetrics staging classification, to compare the diagnostic performance of the model with the radiologic consensus.
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