Pseudo-Meig's syndrome with multiple synchronous benign and malignant pelvic tumors.

Arch Gynecol Obstet

Department of Internal medicine, St. Agnes hospital, Baltimore, MD, 21228, USA.

Published: February 2006

Background: Meig's and Pseudo-Meig's syndromes have been reported in association with several malignancies but the concomitant existence of multiple synchronous benign and malignant tumors in association with Pseudo-Meigs' syndrome has not been reported in the published literature.

Case: A 55-year old African American woman presented with mild asthma exercebation, right ovarian mass, hydrothorax and elevated CA-125 levels. Histological examination confirmed a right ovarian carcinoid tumor embedded within a mature cystic teratoma while the left ovary, fallopian tube and the uterus contained a poorly differentiated adenocarcinoma of the endometrium.

Conclusion: This is the first case report of Pseudo-Meig's syndrome in association with ovarian carcinoid tumor and multiple synchronous benign and malignant pelvic tumors.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s00404-005-0052-8DOI Listing

Publication Analysis

Top Keywords

multiple synchronous
12
synchronous benign
12
benign malignant
12
pseudo-meig's syndrome
8
malignant pelvic
8
pelvic tumors
8
ovarian carcinoid
8
carcinoid tumor
8
syndrome multiple
4
tumors background
4

Similar Publications

Objective: The objective of this research was to devise and authenticate a predictive model that employs CT radiomics and deep learning methodologies for the accurate prediction of synchronous distant metastasis (SDM) in clear cell renal cell carcinoma (ccRCC).

Methods: A total of 143 ccRCC patients were included in the training cohort, and 62 ccRCC patients were included in the validation cohort. The CT images from all patients were normalized, and the tumor regions were manually segmented via ITK-SNAP software.

View Article and Find Full Text PDF

Synchronous vibrations, which are caused by periodic excitations, can have a severe impact on the service life of impellers. Blade Tip Timing (BTT) is a promising technique for monitoring synchronous vibrations due to its non-intrusive nature and ability to monitor all blades at once. BTT generally employs a Once-per-Revolution (OPR) sensor that is mounted on the shaft for blade identification and deflection calculation.

View Article and Find Full Text PDF

In recent years, mobile laser measurement systems have markedly enhanced the capabilities of deformation detection and defect identification within metro tunnels, attributed to their superior efficiency, precision, and versatility. Nevertheless, challenges persist, including substantial equipment costs, inadequate after-sales support, technological barriers, and limitations in customization. This paper develops a mobile laser measurement system that has been specifically developed for the purpose of detecting deformation in metro tunnels.

View Article and Find Full Text PDF

The growing demand for high-speed data transfer and ultralow latency in wireless networks-on-chips (WiNoC) has spurred exploration into innovative communication paradigms. Recent advancements highlight the potential of the terahertz (THz) band, a largely untapped frequency range, for enabling ultrafast tera-bit-per-second links in chip multiprocessors. However, the ultrashort duration of THz pulses, often in the femtosecond range, makes synchronization a critical challenge, as even minor timing errors can cause significant data loss.

View Article and Find Full Text PDF

Sparse Convolution FPGA Accelerator Based on Multi-Bank Hash Selection.

Micromachines (Basel)

December 2024

Institute of Information Science, Beijing Jiaotong University, Beijing 100044, China.

Reconfigurable processor-based acceleration of deep convolutional neural network (DCNN) algorithms has emerged as a widely adopted technique, with particular attention on sparse neural network acceleration as an active research area. However, many computing devices that claim high computational power still struggle to execute neural network algorithms with optimal efficiency, low latency, and minimal power consumption. Consequently, there remains significant potential for further exploration into improving the efficiency, latency, and power consumption of neural network accelerators across diverse computational scenarios.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!