The study was undertaken to evaluate the accuracy of sonographic morphological pattern in the detection of ovarian malignancy. A total of 123 patients with a suspicion of ovarian pathology, who were scheduled for elective surgery at the Department of Obstetrics and Gynecology, Faculty of Medicine Siriraj Hospital, Mahidol University were included in the study. All patients underwent sonographic examination prior to surgery by the same physician. The sonographic morphological pattern of each patient was compared to the histological diagnosis of the ovarian tumors. Of the 120 patients with an ovarian lesion, the sonographic morphological pattern of 10 had a sensitivity of 88.6 per cent and a specificity of 89.4 per cent in detection of malignant ovarian tumors. The positive predictive value, negative predictive value, and the accuracy rate were 77.5, 95.0, and 89.2 per cent, respectively. In the present study, a score of 9 would be the best discriminator between benign and malignant ovarian masses, giving a sensitivity of 97.1 per cent and specificity of 82.4 per cent. As stand alone, the present results confirm that ultrasonography is still a useful diagnostic tool in the differentiation of benign from malignant ovarian masses.
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Front Pediatr
December 2024
Department of Radiology, University of Lahore Teaching Hospital, Lahore, Pakistan.
Introduction: Monitoring the morphological features of the gestational sac (GS) and measuring the mean sac diameter (MSD) during early pregnancy are essential for predicting spontaneous miscarriage and estimating gestational age (GA). However, the manual process is labor-intensive and highly dependent on the sonographer's expertise. This study aims to develop an automated pipeline to assist sonographers in accurately segmenting the GS and estimating GA.
View Article and Find Full Text PDFCureus
November 2024
Radiodiagnosis, Dr. D. Y. Patil Medical College, Hospital and Research Centre, Pune, IND.
Abnormal uterine bleeding (AUB) is a common gynecological condition that disrupts women's health due to irregularities in menstrual frequency, duration, and volume, often resulting in a significant impact on daily life and productivity. Accurate diagnosis of AUB is critical but complicated by its varied etiologies and presentations. Recent advancements in imaging techniques, particularly the Morphological Uterus Sonographic Assessment (MUSA), have enhanced the diagnostic precision of uterine pathologies such as fibroids and adenomyosis.
View Article and Find Full Text PDFReprod Biomed Online
September 2024
The Fertility Clinic, Skive Regional Hospital, Skive, Denmark; Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Adenomyosis is an important clinical condition with uncertain prevalence, and clinical focus on adenomyosis in patients undergoing assisted reproductive technology (ART) has increased during recent years. Recognizing the limited clinical knowledge on the impact of adenomyosis on ART outcomes, the First Lugano Adenomyosis Workshop was a symposium involving experts in the field of adenomyosis, covering basic research, imaging, surgery and infertility to highlight current advances and future research areas over a wide range of topics related to adenomyosis. Adenomyosis is characterized by altered oestrogen and progesterone signalling pathways.
View Article and Find Full Text PDFSemin Intervent Radiol
October 2024
Division of Abdominal Imaging, Department of Radiology, University of Chicago, Chicago, Illinois.
Thyroid nodules are prevalent, estimated to affect up to 68% of the population, and the incidence increases with age. With the advances in medical imaging utilization, the detection of incidental thyroid nodules continues to rise, and given the low rate of malignancy in incidentally discovered thyroid nodules (4-15%), diagnostic guidelines are imperative for their management. Several guidelines have been developed: the most commonly used guidelines in the United States include the American Thyroid Association (ATA) Guidelines and the American College of Radiology Thyroid Imaging Reporting Data System (TI-RADS).
View Article and Find Full Text PDFJ Perinat Med
December 2024
Department of Perinatology, City Hospital of Izmir, Izmir, Türkiye.
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