Online ISSN: 2515-8260

Keywords : Liquid Based Cytology

Liquid-based cytology and conventional cytology for assessment of cervical pap smear

Dr Shailesh Patel, Dr Deepika Modi, Dr Jayesh Modi

European Journal of Molecular & Clinical Medicine, 2022, Volume 9, Issue 3, Pages 3003-3007

Background: Cervical cancer worldwide is second only to breast cancer in incidence.
The present study compared liquid-based cytology and conventional cytology for
assessment of cervical pap smear.
Materials & Methods: 84 females aged 18- 60 years presenting with complaints of
abnormal vaginal discharge etc. were enrolled and specimen was collected for both
conventional pap smear (group I) and liquid based cytology (group II) then colposcopic
guided biopsy was performed.
Results: P/S findings were normal in 52 and abnormal in 20 cases. It was erosion Cx in
4, hypertrophied Cx in 4, hypertrophied Cx in 3, ulcer Cx in 1 and papillary growth in
1.68 cases in group I were normal and 16 abnormal and in 72 cases in group II were
normal and 12 were abnormal. Normalcases were 68 and 72, LSIL was 14 and 6, HSIL
was 7 and 3 and invasive Cawas 5 and 3 in group I and group II respectively.
Conclusion: Liquid Based Cytology is better than Conventional Pap test in detecting
preinvasive cervical lesions

Pap screening for cervical carcinoma – evolving trends

R.Thiripurasundari, L.Jacqueline, S. Priya

European Journal of Molecular & Clinical Medicine, 2021, Volume 8, Issue 4, Pages 1320-1330

Cancer has manifested itself as one of the most serious health problems facing humanity today. Cervical cancer is one of the most common types of cancer, and the Papanicolaou (Pap) test, often known as a Pap smear, is the most basic test for cervical screening. It involves the microscopic inspection of cervical cells obtained from the cervix, and it is performed by a physician. In order to achieve this, automated detection and classification of cervical cancer from pap-smear images has become a must just because it allows for accurate, reliable, and rapid investigation of the condition's progression. With an emphasis on the history of pap screening, liquid based cytology, and machine learning for cervical cancer detection in recent research publications, this paper provides a summary of the state of the art as stated in several significant recent information sources. For the first time, an evaluation of image analysis and machine learning applications in the growing trends of cervical cancer diagnosis from pap-smear images over the course of a decade has been published. The survey examines 26 journal papers that were obtained electronically through major scientific databases such as PubMed, Google Scholar, Scopus, IEEE, and Science Direct, which were searched using sets of keywords. The papers were obtained from major scientific databases such as Pubmed, Google Scholar, Scopus, IEEE, and Science Direct. Whenever the Pap test is improved through the use of artificial intelligence, the sensitivity for the detection of cervical pathology is improved as well. The general public should be taught about the Pap smear test with AI, including its purpose and the frequency with which it must be performed, through comprehensive programmes aimed at improving disease management in general.