Background: In this study, the potential in detecting and evaluating pelvic lymph node metastases on body diffusion-weighted (DW) images was evaluated in patients with gynecologic malignancies.
Methods: This study included 18 patients with gynecologic malignancy who underwent magnetic resonance imaging in the pelvis using a 1.5-T superconductive magnet. The identification of pelvic nodes on only T2-weighted (T2W) axial images and on DW axial images in addition to T2W axial images was examined and compared. Moreover, we measured and calculated a short-axis diameter, a long-axis diameter, and a ratio of short- and long-axis diameter of nodes on the T2W images and the apparent diffusion coefficient (ADC) values of the nodes on the DW images. These results were compared with histopathologic results.
Results: First, 136 (40%) of 340 dissected nodes were identified on T2W images, and 249 (73%) of 340 dissected nodes were identified on DW images in addition to T2W images. Second, the differences in the short-axis diameter, the long-axis diameter, and the ratio of short- and long-axis diameter on T2W images between metastatic and nonmetastatic nodes were not significant. The differences in the ADC values between metastatic and nonmetastatic nodes were not significant.
Conclusions: Body DW images are useful in detection of pelvic lymph nodes in patients with gynecologic malignancy. However, the measurement of ADC values does not contribute to a diagnosis of metastatic nodes.
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http://dx.doi.org/10.1097/RCT.0b013e318153fd43 | DOI Listing |
J Echocardiogr
January 2025
Division of Cardiology, Department of Internal Medicine, Keimyung University Dongsan Medical Center, Keimyung University School of Medicine, 1035 Dalgubeol-Daero, Dalseo-Gu, Daegu, 42601, Republic of Korea.
Background: With the growing number of high-risk pregnant women, echocardiography frequently reveals pericardial effusion (PE). However, the clinical implications of PE are unknown.
Method: We analyzed a cohort of 406 high-risk pregnant women who underwent echocardiography in the third trimester between November 2019 and December 2022.
Sci Rep
January 2025
Gynecology Department, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China.
The presence of high-risk human papillomavirus (HR-HPV) contributes to the development of cervical lesions and cervical cancer. Recent studies suggest that an imbalance in the cervicovaginal microbiota might be a factor in the persistence of HR-HPV infections. In this study, we collected 156 cervicovaginal fluid (CVF) of women with HR-HPV infection, which were divided into three groups (negative for intraepithelial lesions = 78, low/high-grade squamous intraepithelial lesions = 52/26).
View Article and Find Full Text PDFNPJ Precis Oncol
January 2025
Zentalis Pharmaceuticals, Inc., San Diego, CA, USA.
Upregulation of Cyclin E1 and subsequent activation of CDK2 accelerates cell cycle progression from G1 to S phase and is a common oncogenic driver in gynecological malignancies. WEE1 kinase counteracts the effects of Cyclin E1/CDK2 activation by regulating multiple cell cycle checkpoints. Here we characterized the relationship between Cyclin E1/CDK2 activation and sensitivity to the selective WEE1 inhibitor azenosertib.
View Article and Find Full Text PDFInt J Clin Oncol
January 2025
Department of Obstetrics and Gynecology, Iwate Medical University School of Medicine, 2-1-1, Idaidori, Yahaba, Iwate, 028-3695, Japan.
Background: The quality of life (QOL) of ovarian cancer patients is often impaired by refractory ascites. Cell-free and concentrated ascites reinfusion therapy (CART) is a palliative treatment for refractory ascites, but adverse events, such as fever, are problematic. Several cytokines have been suggested to be responsible for the adverse events, but they have not been investigated in detail.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Laboratory Medicine and Pathology, University of Minnesota School of Medicine, 420 Delaware St SE, MMC 609, Minneapolis, MN, 55455, USA.
Within ovarian cancer research, patient-derived xenograft (PDX) models recapitulate histologic features and genomic aberrations found in original tumors. However, conflicting data from published studies have demonstrated significant transcriptional differences between PDXs and original tumors, challenging the fidelity of these models. We employed a quantitative mass spectrometry-based proteomic approach coupled with generation of patient-specific databases using RNA-seq data to investigate the proteogenomic landscape of serially-passaged PDX models established from two patients with distinct subtypes of ovarian cancer.
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