Cervical cancer is one of the leading health burdens globally with a huge incidence in developing countries like India. Cervical cancer has an extended premalignant stage known as cervical dysplasia or cervical intraepithelial neoplasia (CIN). CIN can be grade 1, 2, or 3 depending on its severity. One of the most effective methods of cervical cancer screening and prevention is detecting these premalignant lesions by cervical cytology. Pioneered by Dr. George Nicholas Papanicolaou, the Papanicolaou (Pap) stain became an important advent for the microscopic evaluation of the exfoliated cervical cells. Over the years, this method of conventional Pap smear became more practiced and yielded excellent results, so much so that the incidence of cervical cancer actually started to decline in developed countries. However, few drawbacks started to become evident with conventional Pap smears like unsatisfactory samples due to obscuring materials, false negative results due to sampling error, and low sensitivity. To overcome these drawbacks of conventional Pap smear, liquid-based cytology (LBC) was introduced in 1996. Thereafter, many investigations and studies have been conducted by many authors to compare the efficacy of conventional Pap smear and LBC. This review puts forward the facts and results of various studies pertaining to efficacy of cervical cytology, comparing conventional Pap smear and LBC, and highlighting the pros and cons of each method based on various studies. For this review, relevant articles under the headings "Conventional PAP smear", "Cervical cancer screening", "Liquid-based cytology" and "Comparison" have been searched in PubMed/MEDLINE and Google Scholar. About 100 articles were studied, and all the facts have been highlighted. While many studies did support LBC over conventional Pap smear for screening of cervical abnormalities, some studies did not find any major difference between the two and preferred the practice of conventional Pap smear in our Indian scenario considering the low-resource setting and low price. This research highlights the various facts of the two types of cervical Pap smear and their comparison.
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http://dx.doi.org/10.7759/cureus.48343 | DOI Listing |
Curr Med Chem
January 2025
Department of Pharmaceutical Quality Assurance, SVKM Institute of Pharmacy, Dhule, 424001, India.
Cervical cancer remains a significant global health concern, making it essential to investigate new treatment options continuously. This page provides an overview of the latest advancements and best practices in detection and intervention, including Pap smears, colposcopy, biopsy, immunotherapy, targeted therapies, chemotherapy, radiation therapy, and surgery. Surgical techniques such as radical hysterectomy and minimally invasive procedures have advanced to enhance patient outcomes and quality of life.
View Article and Find Full Text PDFJ Trauma Acute Care Surg
January 2025
From the Division of Acute Care Surgery, Department of Surgery (E.R.M., T.B.M., C.M.W., H.S., R.H., C.D.B.), University of Nebraska Medical Center, Omaha, Nebraska; Department of Surgery (H.B.M.), AdventHealth Porter; Department of Surgery (E.E.M., J.G.C.), Ernest E Moore Shock Trauma Center at Denver Health, Denver; Department of Surgery (E.E.M.), University of Colorado Anschutz Medical Campus, Aurora, Colorado; Hunter College (I.M.B.), New York, New York; Sauaia Statistical Solutions, LLC (A.S.), Denver, Colorado; and Department of Cellular and Integrative Physiology (F.I.G., C.D.B.), University of Nebraska Medical Center, Omaha, Nebraska.
Background: Tissue-plasminogen activator-challenged thromboelastography (tPA-TEG) predicts massive transfusion and mortality better than conventional rapid thromboelastography (rTEG), with little concordance between their lysis values (LY30). We hypothesized that the main fibrinolytic inhibitors plasminogen activator inhibitor-1 (PAI-1) and α-2 antiplasmin (A2AP), as well as markers of fibrinolytic activation (plasmin-antiplasmin [PAP], tPA-PAI-1 complex, tPA activity), would correlate more strongly with tPA-TEG versus rTEG LY30 and may explain the recent findings of four distinct fibrinolytic phenotypes in trauma based on these two TEG methodologies.
Methods: Adult trauma patients (n = 56) had tPA-TEG, rTEG, and plasma obtained on arrival to the emergency department with institutional review board approval.
Anal Methods
January 2025
Molecular Science Institute, School of Chemistry, University of the Witwatersrand, Johannesburg 2050, South Africa.
Human papillomavirus (HPV) infection is the main cause of cervical cancer and other cancers such as anogenital and oropharyngeal cancers. The prevention screening and treatment of cervical cancer has remained one of the top priorities of the World Health Organization (WHO). In 2020, the WHO came up with the 90-70-90 strategy aimed at eliminating cervical cancers as a public health problem by the year 2030.
View Article and Find Full Text PDFPLOS Glob Public Health
December 2024
Department of Medical Laboratory Sciences, University of Health and Allied Sciences, Ho, Ghana.
Cervical cancer is a recognized preventable disease yet the fourth most common cancer among women globally. This study assessed the integration and acceptability of cervical cancer screening as part of routine sixth-week postnatal care among women attending a postnatal clinic. This was a cross-sectional descriptive study among 347 postpartum women who were attending their 6th-week postnatal visit.
View Article and Find Full Text PDFSci Rep
December 2024
Decisions LAB, Department of Law, Economics and Human Sciences, University Mediterranea of Reggio Calabria, Via dei Bianchi, 2, 89131, Reggio Calabria, Italy.
Cervical cancer is one of the deadly diseases that affects women, which requires periodic examinations to identify and treat any cancerous tumors at a preliminary stage. The most prevalent examination tool for cervical cancer prompt identification is the cervical smear (Pap smear) testing; however, due to human negligence, this examination method has an elevated probability of negative findings. Cervical cancer classification using machine learning (ML) and deep learning (DL) has been extensively studied to enhance the conventional diagnostic process.
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