Ovarian Tumor Characterization and Classification Using Ultrasound: A New Online Paradigm

Huang

Experimental and Therapeutic Medicine

et al. 2016

Abstract. The present study was designed to evaluate the effect of olive oil on bone and uterus in ovariectomized rats. A total of 34 surgically ovariectomized or sham-operated virgin Sprague-Dawley rats were divided into four groups: i) Sham-operated control rats (sham group); ii) Ovariectomized rats (OVX group); iii) Olive oil-supplemented ovariectomized rats (olive group); and iv) Diethylstilbestrol-supplemented ovariectomized rats (E 2 group). At 12 weeks following left ventricular blood sacrificed to detect plasma estradiol (E 2 ), interleukin-1β (IL-1β) and IL-6 levels. Bone mineral density (BMD) of the lumbar spine was evaluated using dual-energy X-ray absorptiometry, and the left femur proximal 1/3 slices were observed using transmission electron microscopy. Uterine wet weight and the uterus index (ratio of uterine wet weight and body weight) were compared, and the uterine endometrium was observed using a light microscope. In the OVX group, serum E 2 was significantly lower and IL-1β and IL-6 levels were significantly higher compared with the sham group. By contrast, serum E 2 levels increased and IL-1β levels decreased in the olive group, but showed no significant difference compared with the sham group. The lumbar spine BMD in the olive group was increased compared with OVX group. Electron microscopy revealed sparse collagen fibers in the OVX group, with decreased density and multi-cavity, showing pathological features of osteoporosis. By contrast, the situation was improved in the E 2 and olive groups, in which organelles such as the rough endoplasmic reticulum, mitochondria and Golgi apparatus were visible and active. Compared with the sham group rats, the uterine wet weight and uterine index decreased in the OVX and olive groups; however, no statistically significant difference was observed in the E 2 group. Furthermore, endometrial hyperplasia was not observed in the olive group, which were apparently different from E 2 group. The present results suggest that olive oil can effectively reduce bone loss in ovariectomized rats, and with no or only mild effects on the uterine endothelium.

Section: Discussionmentioning

confidence: 99%

“…This is particularly evident in the case of ovarian cancer, which poses a serious threat to female health (25). With the continuous development of medical diagnosis and treatment technology, the cure rate and disease-free survival of patients has improved significantly (27).…”

Section: Discussionmentioning

confidence: 99%

Olive oil exhibits osteoprotection in ovariectomized rats without estrogenic effects

Huang

Experimental and Therapeutic Medicine

et al. 2016

Reviews in Cardiovascular Medicine

“…Characterization of the diseased tissue against normal or risk stratification of the disease severity is well embraced by AI-based models, for example, ML-based strategies were adapted for benign vs. malignant prostate cancer (McClure et al, 2014;Pareek et al, 2013), ovarian cancer (Acharya et al, 2015(Acharya et al, , 2013c, liver cancer Kuppili et al, 2017), brain cancer (Tandel et al, 2020), plaque tissue for risk stratification, coronary artery risk stratification (Acharya et al, 2013a;Khanna et al, 2019a;Skandha et al, 2020) are some to say.…”

Section: Ai-based Tissue Characterization and Classificationmentioning

confidence: 99%

Integration of cardiovascular risk assessment with COVID-19 using artificial intelligence

2020

Artificial Intelligence (AI), in general, refers to the machines (or computers) that mimic "cognitive" functions that we associate with our mind, such as "learning" and "solving problem". New biomarkers derived from medical imaging are being discovered and are then fused with non-imaging biomarkers (such as office, laboratory, physiological, genetic, epidemiological, and clinical-based biomarkers) in a big data framework, to develop AI systems. These systems can support risk prediction and monitoring. This perspective narrative shows the powerful methods of AI for tracking cardiovascular risks. We conclude that AI could potentially become an integral part of the COVID-19 disease management system. Countries, large and small, should join hands with the WHO in building biobanks for scientists around the world to build AIbased platforms for tracking the cardiovascular risk assessment during COVID-19 times and long-term follow-up of the survivors.

“…Acharya et al, [27] used standard deviation, fractal dimension, gray-level co-occurrence matrix, run length matrix and higher order statistics texture features which results in 729 features and they adopted Students t test to choose the unique features and employed decision tree as classifier to effectively classify the lesions into benign and malignant.…”

Section: Literature Surveymentioning

confidence: 99%

Detection of Polycystic Ovarian Syndrome: A Literature Survey

Saravanan

Sathiamoorthy

2018

AJEAT

Polycystic ovarian syndrome is an endocrine issue attacking ladies at the age of reproduction. This indication has primarily found in ladies whose age is in the middle of 25 and 35. It is essential to diagnose and recognize diverse types of ovulatory failure that can add to infertility. There are numerous clarifications for ovulation failure. Without distinguishing the correct locality of the follicle, the risk seriousness of the patient can’t reveal. In line with this, many of the researchers focusing their research interest in PCOS. In this paper, literature review on polycystic ovarian syndrome using machine learning and image processing has exhibited.