Pathology
Nasrin Ziamajidi; Nazi Moini; Hiva Danesh; Roghayeh Abbasalipourkabir; Nahid Radnia; Zeinab Barartabar
Articles in Press, Accepted Manuscript, Available Online from 05 September 2023
Abstract
Background & Objective: Breast cancer has the highest incidence of all cancers and the incidence of this disease is increasing rapidly in many countries around the world, including Iran. In this study, some epidemiological and pathological factors have been investigated in breast cancer patients.Methods: ...
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Background & Objective: Breast cancer has the highest incidence of all cancers and the incidence of this disease is increasing rapidly in many countries around the world, including Iran. In this study, some epidemiological and pathological factors have been investigated in breast cancer patients.Methods: This is a cross-sectional study which contains 476 patients with a confirmed diagnosis of breast cancer, was conducted in Tehran, Dr. Moini Breast Clinic from 2019 to 2021. Results: The mean age of patients was 50.2±11.40 years, of which 80.9% patients over 40 years. Ductal carcinoma was the most common in terms of histology (81.7%) and most patients are in grade 2 (63.6%). According to hormonal receptors, 73.8% of women had estrogen receptor positive and 68.9% of women had progesterone receptor positive and 18.9% of patients were triple negative. There is a significant relationship between grade and lymph node involvement (P-value=0.00) and also a significant relationship between metastasis with grade (P-value = 0.00 (and metastasis with lymph node involvement (P-value = 0.00) was seen.Conclusion The results of this study show that breast cancer has a high prevalence in Iranian women in Tehran, mainly seen in the 4th and 5th decades of breast cancer. HER-2 (epidermal growth factor 2 receptor overexpression) and triple negatives were the least subgroups. Considering that diagnosis happens late and about 63.6% of patients are in grade 2, it is necessary to implement programs in the field of screening and prevention in the female population of this province.
Obstetrics and Gynecology
Behnaz Nouri; Maliheh Arab; Mohammad Nasiri
Volume 8, Issue 5 , September and October 2023, , Pages 481-487
Abstract
Background & Objective: Endometriosis is one of the most common diseases in the female population. The range of diagnostic delays in this disease is long and leads to adverse health-related consequences. The aim of this study was to evaluate diagnostic experiences in patients with endometriosis ...
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Background & Objective: Endometriosis is one of the most common diseases in the female population. The range of diagnostic delays in this disease is long and leads to adverse health-related consequences. The aim of this study was to evaluate diagnostic experiences in patients with endometriosis who are candidates for laparoscopic surgery.Materials & Methods: This cross-sectional study was performed on 433 patients with endometriosis who were candidates for laparoscopic surgery referred to Shohada-Tajrish Hospital in Tehran, Iran, between January 2016 and December 2021. A questionnaire including demographic and clinical information, MRI, and pathology reports were collected from participants. The MRI lesions were segmented and the results were compared with pathology and clinical examination. For statistical analysis SPSS software, version 22 was used.Results: A total of 433 participated in this study with a mean age of 34.18±7.99. The average estimated duration of disease symptoms (months) was 40.58±42.33. The predictive value of clinical symptoms is weak compared to MRI. However, the probability that the disease is not present when the clinical signs are negative is acceptable in most of the endometriosis sites. MRI considerably shows the true negative rate, but its sensitivity is only relatively acceptable for the diagnosis of ascites (67.66%). Calculating the accuracy of MRI reports probably shows the overall classification of the patients via MRI test.Conclusion: despite extensive research, there are no suitable and accurate non-invasive methods for diagnosing endometriosis. MRI and clinical examination alone are not useful for definitive diagnosis and it is better to examine biomarkers and artificial intelligence for non-invasive and accurate diagnosis of this disease.
