Gynaecological Malignancies Among a Representative Population of Batticaloa, Sri Lanka

Abstract

Background Genital tract malignancies have a significant contribution to morbidity and mortality, particularly in resource-poor countries, including Sri Lanka. The distribution of such tumours varies from region to region. Methodology This was a retrospective, observational study at the Teaching Hospital, Batticaloa for five and a half years, from January 2012 to June 2017, and aimed at analyzing the pattern of gynaecological malignancies. All the histologically confirmed gynaecological cancers arising from the uterine cervix, endometrium, ovary, vagina, and vulva were included in the analysis. Results There were 508 cervical specimens to study histopathology of the cervix, 1,884 gynaecological specimens to study the endometrial histopathology, 537 ovarian specimens, and 92 vaginal and vulval specimen were sent for their histopathological study during the same period. About 143 genital tract malignancies had been diagnosed. There were 52 cervical malignancies (36.36%) and 52 ovarian malignancies (36.36%). The second commonest (20.28%) was endometrial malignancy. Vaginal malignancy was at fourth place (4.9%). Vulval malignancy was 2.1%. The peak age distribution of malignancies (55.24%) was mainly in the 40-59 years age range. The incidence of cervical and ovarian malignancies peaked at 40-59 years, with 32/52 (61.54 %) and 26/52 (50%) of the diagnosed cases, respectively . Conclusion Cervical cancer and ovarian cancer accounted for almost 72.73% of the entire gynaecological malignancies in this study, and both of them have the same peak incidence in the 40-59 age group. This study also showed that 43.36% of total female genital tract tumours are Human Papilloma Virus-associated cancers. They are not only preventable by certain strategies but also identifiable and manageable at the precancerous stage.

In-depth analysis of cervical cancer burden among gynecological malignancies at a tertiary cancer hospital, Hyderabad

“…Numerous studies have found that more than 90% of cervical cancer cells have high-risk human papillomavirus (HPV) DNA. (27) This implies that HPV infection is a direct cause of cervical cancer.…”

The pattern of gynecological malignancies in Al-Madinah Al-Munawarah region, Saudi Arabia

“…A few studies have a lower age of presentation averaging 44.2±13 years or a lower range of 40-59 years for peak occurrence of genital malignancy. 15 , 16 …”

“…A few studies have a lower age of presentation averaging 44.2±13 years or a lower range of 40-59 years for peak occurrence of genital malignancy. 15,16 Interestingly, at ages 30 and below, tumors in the ovary and ovarian neoplasm were the most prominent type of malignancies. This result was contrary to the findings of Tanko et al 9 and Kyari et al 15 that both reported the range of 50-59 years as the range of the highest malignancy rates in the ovaries.…”

Artificial Intelligence and Machine Learning in Diagnostics and Treatment Planning

“…Having an accuracy of 98%, the Random Forest model outperformed the Logistic Regression model, which had a lower accuracy of 77%. F1 scores, recall, and precision provide more information on the efficacy of the model [9]. An extensive assessment of the model's predictive power has been conducted using "Area Under the Curve (AUC)" values and "Receiver Operating Characteristic (ROC)" curves.…”