Article
Obstetrics & Gynecology
Jacquelyn Dillon, Ling Chen, Alexander Melamed, Caryn M. St Clair, June Y. Hou, Fady Khoury-Collado, Allison Gockley, Melissa Accordino, Dawn L. Hershman, Jason D. Wright
Summary: Cervical cancer screening is frequently overused among average-risk Medicaid beneficiaries, with women who do not undergo screening also unlikely to receive routine gynecological examinations.
BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY
(2022)
Article
Oncology
Rodney P. Rocconi, Annelise M. Wilhite, Lindsay Schambeau, Jennifer Scalici, Lewis Pannell, Michael A. Finan
Summary: The study aimed to develop a site-specific proteomic-based screening test for ovarian cancer using cervicovaginal fluid samples. A panel of 5 proteins was identified as a fingerprint for detecting ovarian cancer with high accuracy. There was moderate agreement between physician-collected and patient-collected samples, showing potential for home self-collection for screening.
GYNECOLOGIC ONCOLOGY
(2022)
Article
Computer Science, Artificial Intelligence
Priyanka Rastogi, Kavita Khanna, Vijendra Singh
Summary: Cervical cancer is a major cause of death for women in developing nations like India. Automated screening systems are crucial for early diagnosis and decision-making in cervical cancer. This study focuses on developing a robust binary classifier capable of classifying single cervical cells as normal or cancerous, using an improved EfficientNet-B7 model and visualization techniques.
Article
Engineering, Biomedical
Meghana Karri, Chandra Sekhara Rao Annavarapu, Saurav Mallik, Zhongming Zhao, U. Rajendra Acharya
Summary: This paper presents a highly efficient cervical screening method based on cell image analysis and proposes a new framework for accurate classification of cervical cells. The proposed method consists of three phases: segmentation, nucleus localization, and classification. Experimental results show that the proposed approach is more effective than existing techniques.
BIOCYBERNETICS AND BIOMEDICAL ENGINEERING
(2022)
Article
Engineering, Biomedical
Chuanwang Zhang, Dongyao Jia, Ziqi Li, Nengkai Wu
Summary: This paper proposes a novel approach for the classification of cervical cells by utilizing a multi-domain hybrid deep learning framework. Results demonstrate that the proposed method achieves similar performance as state-of-the-art models in terms of accuracy, sensitivity, and specificity. The study showcases the potential of the proposed framework for early diagnosis of cervical cancer and validates the feasibility of multi-domain and hybrid features in clinical practice.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2022)
Review
Pharmacology & Pharmacy
L. Allahqoli, T. Dehdari, A. Rahmani, A. Fallahi, M. Gharacheh, N. Hajinasab, H. Salehiniya, I. Alkatout
Summary: This review study aimed to identify the diagnostic delay and factors related to delayed cervical cancer diagnosis worldwide. The study found a high proportion of delayed cervical cancer diagnosis and a relatively long delay in diagnosis. Factors related to delayed diagnosis involved multiple aspects, including patient, medical history, and health system. Addressing all components of diagnostic delay and modifying factors associated with these delays are urgently needed to shorten the diagnostic journey of cervical cancer patients.
EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES
(2022)
Article
Computer Science, Artificial Intelligence
Tome Albuquerque, Ricardo Cruz, Jaime S. Cardoso
Summary: Cervical cancer is the fourth leading cause of cancer-related deaths in women, especially in low to middle-income countries. Screening tests have been effective in reducing cervical cancer deaths, with automatic screening via Pap smear being a valuable detection tool.
PEERJ COMPUTER SCIENCE
(2021)
Article
Pathology
Abha Goyal, Jonas J. Heymann, Susan A. Alperstein, Momin T. Siddiqui
Summary: This study identified less readily recognizable patterns of high-grade squamous intraepithelial lesions (HSIL) in HPV-positive but NILM Pap tests, including atypical metaplastic cells, atypical repair, and rare syncytial groups. These underrecognized patterns accounted for major discrepancies in cytologic findings.
AMERICAN JOURNAL OF CLINICAL PATHOLOGY
(2021)
Article
Medicine, General & Internal
Mehnaz Khakwani, Rashida Parveen, Maryam Azhar
Summary: This study compared the application of conventional PAP smear and liquid-based cytology for cervical carcinoma screening. The results showed that liquid-based cytology performed better in terms of smear adequacy and identification of low-grade and high-grade squamous intraepithelial lesions.
PAKISTAN JOURNAL OF MEDICAL SCIENCES
(2022)
Article
Immunology
Miriam Gorgone, Andrea Squeri, Sara Cuffari, Vincenza La Fauci, Ioselita Giunta, Serena Calderone, Raffaele Squeri, Cristina Genovese
Summary: Cervical cancer screening adherence and HPV vaccination coverage in Italy are inadequate, likely due to communication and awareness issues, as well as lack of data from private tests. The introduction of HPV-DNA testing helps identify positive women with the most common genotypes associated with neoplastic lesions, as well as other genotypes worth investigating.
Article
Oncology
Frederik A. Stuebs, Anna K. Dietl, Martin C. Koch, Werner Adler, Carol Immanuel Geppert, Arndt Hartmann, Antje Knoell, Grit Mehlhorn, Matthias W. Beckmann, Carla E. Schulmeyer, Felix Heindl, Julius Emons, Anja Seibold, Annika S. Behrens, Paul Gass
Summary: Vaginal intraepithelial neoplasia (VaIN) is a rare premalignant disease with a challenging diagnosis. Cytology and HPV co-testing have moderate accuracy in detecting VaIN.
Article
Pathology
Wei Jiang, R. Marshall Austin, Huina Zhang, Yanmei He, Lian Xu, Xiuli Wu, Wei Kuang, Lingling Tong, Lei Li, Chengquan Zhao
Summary: Extended hrHPV genotyping for women with ASC-US cytology could identify hrHPV genotypes associated with higher risk of CIN2+ and allows for refined risk stratification of women being screened.
AMERICAN JOURNAL OF CLINICAL PATHOLOGY
(2022)
Article
Oncology
Alejandra Castanon, Aruna Kamineni, K. Miriam Elfstrom, Anita W. W. Lim, Peter Sasieni
Summary: This systematic review examined various screening exposure definitions used in studies of the effectiveness of cervical screening, finding differences in cervical cancer risk reduction percentages depending on the definition used. The study suggests the necessity of consensus guidelines to standardize exposure definitions for accurate evaluations of cervical cancer screening and to facilitate comparisons between different programs.
CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION
(2021)
Article
Public, Environmental & Occupational Health
Yilidana Mijiti, Hainiguli Yusupu, Haixia Liu, Xuefeng Zhang, Gulikezi Maimaiti, Reyilaimu Kawuli, Cailing Ma
Summary: This study investigated the level of cervical cancer knowledge and its influencing factors among women in Shache county, Kashi, China. The findings showed that women had inadequate knowledge about cervical cancer. Factors such as urban residence, non-farming and non-housewife occupation, high school education and above, and multiple access to knowledge were protective factors for cervical cancer knowledge knowing.
Article
Public, Environmental & Occupational Health
Philip E. Castle, Brian Befano, Mark Schiffman, Nicolas Wentzensen, Thomas Lorey, Nancy Poitras, Marianne Hyer, Li C. Cheung
Summary: This study compared the risks of cervical intraepithelial neoplasia grade 2 (CIN2) or more severe diagnoses (CIN2+) between women living with HIV (WLWH) and women not known to have HIV (HIV[-]) following cervical cancer screening. WLWH were more likely to test HPV positive and have abnormal cytology compared to HIV[-] women. The results suggest that both populations could be managed similarly once the screening results are known.
PREVENTIVE MEDICINE
(2022)