Investigating Bangladeshi Rural Women’s Awareness and Knowledge of Cervical Cancer and Attitude Towards HPV Vaccination: a Community-Based Cross-Sectional Analysis

Banik, Rajon; Naher, Shabnam; Rahman, Mahmudur; Gozal, David

doi:10.1007/s13187-020-01835-w

Cited by 9 publications

(9 citation statements)

References 38 publications

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“…Each year, approximately 12,000 new cases are identi ed, and the severity of the condition exceeds 6,000. In Bangladesh, nearly 4.4 percent of the general population has a higher risk of developing cervical HPV16/18 infections at any given time, and HPVs 16 and 18 are responsible for 80.3 percent of invasive cervical malignancies [9]. Figure 5 depicts the mortality rate of cervical cancer during the year from 1990 to 2020.…”

Section: Introductionmentioning

confidence: 99%

Predicting the Spread of Vessels in Initial Stage Cervical Cancer through Radiomics Strategy Based on Deep Learning Approach

Pareek¹,

Prasad

et al. 2022

Advances in Materials Science and Engineering

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Novel methods and materials are used in healthcare applications for finding cancer in various parts of the human system. To select the most suitable therapy plan for individuals with domestically progressed cervical cancer, robustness metrics are required to estimate their early phase. The goal of the research is to increase the effectiveness of cervical cancer patients' detection by using deep learning-based radiomics assessment of magnetic resonance imaging (MRI). From March 2016 to November 2019, 125 patients with early-stage cervical cancer provided 980 dynamic X1 contrast-enhanced (X1DCE) and 850 X2 weighted imaging (X2WI) MRI images for training and testing. A convolutional neural network model was used to estimate cervical cancer state based on the specified characteristics. The X1DCE exhibited high discriminative outcomes than X2WI MRI in terms of prediction ability, as calculated by the confusion matrix assessment and receiver operating characteristic (ROC) curve approach. The mean maximum region under the curve of 0.95 was found using an attentive ensemble learning method that included both MRI sequencing (Sensitivity = 0.94, Specificity = 0.94, and accuracy = 0.96). Whenever compared with conventional radiomic approaches, the results show that a variety of radiomics based on deep learning might be created to help radiologists anticipate vascular invasion in patients with cervical cancer before surgery. Based on radiomics technique, it has proven to be an effective tool for estimating cervical cancer in its early stages. It would help people choose the best therapy method for them and make medical judgments.

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Section: Introductionmentioning

confidence: 99%

Predicting the Spread of Vessels in Initial Stage Cervical Cancer through Radiomics Strategy Based on Deep Learning Approach

Pareek¹,

Prasad

et al. 2022

Advances in Materials Science and Engineering

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“…Similarly, poor awareness of the HPV vaccine and CC was reported in several small sample studies in Bangladesh [ 4 , 17 ]. Many factors may influence the awareness status and, consequently, the acceptance of HPV vaccines [ 4 ].…”

Section: Introductionmentioning

confidence: 73%

“…Low- and middle-income countries accounted for almost 90 % of global new cases and fatalities in 2020 [ 3 ]. CC is the second most common cancer among women in Bangladesh, accounting for 12,000 new cases and more than 6000 yearly fatalities [ 4 , 5 ]. Infection with Human papillomavirus (HPV) is one of the most significant causes of CC.…”

Section: Introductionmentioning

confidence: 99%

Awareness of HPV vaccine and its socio-demographic determinants among the parents of eligible daughters in Bangladesh: A nationwide study

Eva,

Khan,

Islam

et al. 2024

Heliyon

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“…The occurrence and development of cervical cancer is a gradual process, from years to decades, which has a long period of reversible precancerous lesions ( 12 ). Screening is an effective means to effectively reduce the incidence and mortality of cervical cancer, which can rapidly prevent invasive cervical cancer and precancerous changes in women, and therefore the World Health Organization (WHO) recommends that cervical cancer screening should be initiated worldwide for early diagnosis and early treatment ( 13 ). Developed countries have more mature technology and methods of cervical cancer screening and more complete screening programs, so their cervical cancer prevention and control is promising ( 14 , 15 ).…”

Section: Discussionmentioning

confidence: 99%

Utility of Scoring System for Screening and Early Warning of Cervical Cancer Based on Big Data Analysis

Hou

Yang

et al. 2022

Front. Public Health

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ObjectiveTo explore the utility of the scoring system for screening and early warning of cervical cancer based on big data analysis.MethodsA total of 420 women undergoing physical examination in Shenyang from January 2021 to January 2022 were screened by convenient sampling as the study subjects. All females accepted the human papilloma virus (HPV) tests and thin-prep cytology test (TCT), a Rating Questionnaire for Screening and Early Warning of Cervical Cancer was developed, and a warning threshold was derived according to the scores of the questionnaire and the goodness of fit for the results of HPV+TCT tests. The patients were graded according to the threshold, and corresponding intervention strategies for patients of different grades were developed.ResultsAmong the 420 people undergoing physical examination, 92 (21.90%) obtained scores ≥8 points, and 328 (78.10%) obtained scores < 8 points; in diagnosing cervical cancer, the Rating Questionnaire for Screening and Early Warning of Cervical Cancer had an AUC value of 0.848, specificity of 97.22%, and sensitivity of 86.46%; after scientific intervention, HPV test results showed a significant decrease in both high-risk positive cases and low-risk positive cases (p < 0.05), and TCT results showed that there was a significant difference in the number of patients with CIN I before and after intervention (p < 0.05).ConclusionThe scoring system for screening and early warning of cervical cancer based on big data analysis presents certain clinical value in the clinical screening of cervical cancer, which can further improve the screening coverage, is of great significance for the diagnosis and treatment of disease, and helps physician implement hierarchical diagnosis and treatment quickly and precisely.

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Investigating Bangladeshi Rural Women’s Awareness and Knowledge of Cervical Cancer and Attitude Towards HPV Vaccination: a Community-Based Cross-Sectional Analysis

Cited by 9 publications

References 38 publications

Predicting the Spread of Vessels in Initial Stage Cervical Cancer through Radiomics Strategy Based on Deep Learning Approach

Predicting the Spread of Vessels in Initial Stage Cervical Cancer through Radiomics Strategy Based on Deep Learning Approach

Awareness of HPV vaccine and its socio-demographic determinants among the parents of eligible daughters in Bangladesh: A nationwide study

Utility of Scoring System for Screening and Early Warning of Cervical Cancer Based on Big Data Analysis

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