Background: Being one of the most common disorder faced by our society, the correct diagnosis of anemia is important for better clinical outcome. Aim & Objectives: The present study was designed to find out the association between cell counter generated hematological parameters and peripheral smear findings in the diagnosis of anemia. Material and Methods: This study was carried out in a tertiary care hospital in South India. 110 patients with low Hb level with reference to age and sex were selected for the comparison of PS findings with that of cell counter parameters. Results: Among 110 cases 56 (50.9%) were females and 54 (49.1%) were males and the common age group affected is elderly >60 years (33 out of 110 cases, 30%) followed by patients in 4 th and 5 th decades (32 out of 110, 29%).Milder forms of anemia was seen to be common in females, while severe anemia was seen more in males. The most common morphological type of anemia was normocytic normochromic anemia (57%) followed by microcytic hypochromic anemia (44%). Among the 57% of normocytic normochromic anemia cases, 41(72%) cases were males and among the 44% of microcytic hypochromic anemia, 36 (82%) cases were females. There were few discrepancies between the diagnosis anemias on peripheral smear and cell counter generated parameters. 41 cases of Microcytic hypochromic anemia had high RDW which is normally expected but 29 cases of Normocytic normochromic anemia showed raised RDW. However the mean RDW value among the cases of microcytic hypochromic anemia and normocytic normochromic anemia with raised RDW was 17.7% and 14.1% respectively. Conclusion: Despite all the advances in laboratory sciences, peripheral smear examination remains an important diagnostic tool in diagnosis of anemia.
Background: A broad range of pathological conditions including non-neoplastic and neoplastic lesions are commonly encountered in the ovary in routine practice. Majority of the ovarian neoplasms are benign and is also a common site for malignancy, even though metastasis can occcur. Ovarian cancer is the third most common cancer among women in India. Histopathological examination plays a major role in diagnosing these lesions. Aim: The aim of present study is to assess the frequency of ovarian lesions and to study the gross and histopathological patterns of different ovarian lesions. Materials and Method:The present study is a retrospective study conducted for a period of 2 months. Clinical data, gross findings and histopathology slides were retrieved using simple random sampling technique. A total of 100 cases were studied. Results thus obtained was analysed using SPSS 20.0 version. Results: Of the 100 ovarian lesions, 64% were non-neoplastic lesions and 36% were neoplastic. Age group ranges from 20 to 82 years with fourth decade being the most common age group affected in our study. 83% of ovarian lesions are cystic, 11% are solid and 6% are partly solid and cystic. Among the non-neoplastic lesions surface inclusion cysts were more common (43.8%). Out of all the ovarian neoplasms surface epithelial tumours were most common 30 out of 36 cases (83.3%) followed by germ cell tumours (16.7%). Benign tumours are more common compared to their malignant counterpart. Conclusion: Ovarian lesions show diverse histological types due to its complex architecture. Nonneoplastic lesions are more common than the neoplastic lesions. Histopathological examination is necessary in diagnosing and categorizing all ovarian lesions for proper treatment and patient care.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.