A review of trophoblastic diseases at the medical school of Dicle university

Gül, Talip; Yilmaztürk, A; Erden, Ali Ceylan

doi:10.1016/s0301-2115(97)00071-7

Cited by 23 publications

(3 citation statements)

References 12 publications

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“…In summary, molar pregnancy is prevalent in the middle eastern countries (Gül et al, 1997). This proliferation, which engenders in having multiple patients with GTN, enables the authors to investigate the effect of using MTX-leucovorin as the prophylactic drugs.…”

Section: Prophylactic Chemotherapy With Methotrexate Leucovorin In Himentioning

confidence: 99%

Prophylactic Chemotherapy with Methotrexate Leucovorin in High-Risk Hydatidiform Mole

Aminimoghaddam

Mahmoudzadeh

Mohammadi

2020

Asian Pac J Cancer Prev

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Aim: Gestational Trophoblastic Neoplasia (GTN) is used to describe a group of malignant gestational tumors originating from the placenta. The chance of having malignant GTN is high in a high-risk molar pregnancy. The main aim of this study is to investigate the effectiveness of using prophylactic chemotherapy in high-risk molar pregnancy to prevent malignant GTN. Method: In this case-control retrospective study, all patients with high-risk mole referred to Firoozgar and Akbarabadi Hospitals affiliated with Iran University of Medical Sciences (IUMS) from 2003 to 2013 were divided into two groups of recipient and non-recipient of methotrexate prophylactic chemotherapy.Demographic information including age, parity, weight, serum βHCG before and after the intervention, level of liver function tests (LFT) and GTN were analyzed. Results: There were 102 patients with a mean age of 27.13 years (SD= 0.37), and 51 patients (50 %) received prophylactic Methotrexate (MTX), and others were the non-receivers. Finally, 23 patients (22.5%) were inflicted with GTN, and 79 (77.5 %) did not. The average time of βHCG spontaneous remission between the groups were 2.5 (SD=1.33) and 3.2 (SD=1.21), for the recipient and non-recipient, respectively, which showed a significant difference (p). Conclusion: This study concludes that prophylactic chemotherapy with MTX and leucovorin may be capable of reducing GTN, which supports the prescription of MTX in high-risk mole, especially in countries with limited resources. The toxicity of methotrexate can be reduced with the addition of leucovorin.

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Section: Prophylactic Chemotherapy With Methotrexate Leucovorin In Himentioning

confidence: 99%

Prophylactic Chemotherapy with Methotrexate Leucovorin in High-Risk Hydatidiform Mole

Aminimoghaddam

Mahmoudzadeh

Mohammadi

2020

Asian Pac J Cancer Prev

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“…Hayashi et al reported that the incidence of HM in Southeast Asian countries is 2.5-3 times higher than in Europe and America [16]. While the incidence of HM for Turkey was 12.9/1000 births in 1997 [17], it was reported to be 6.60/1000 births in 2004 [18]. In another study by Gul et al, the incidence of gestational trophoblastic disease was reported to be 24.50/1000 births [19].…”

Section: Discussionmentioning

confidence: 99%

Does COVID-19 Affect the Course of Trophoblastic Gestational Disease in Partial Hydatidiform Moles; Is It A Viral or A Pandemic?

et al. 2022

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Objective: Hydatiform mole (HM) is a non-malignant form of gestational trophoblastic disease (GTD) characterized by failure of normal fetal development and overgrowth of trophoblasts. With this retrospective cohort study, we planned to determine the incidence of PHM, etiology and progression rates to Gestational trophoblastic neoplasia (GTN) during the COVID-19 epidemic. Materials and Method: This retrospective cohort study was conducted in Ankara Etlik Zübeyde Hanım Women’s Health Training and Research Hospital Early Pregnancy Assessment Unit between March 2016 and February 2022. Patients who underwent therapeutic curettage (T/C) with the diagnosis of missed abortion, intrauterine exitus (IUEX), molar pregnancy or incomplete abortion after single spontaneous pregnancy were included in the study. The study group consisted of 138 patients who were diagnosed with partial hydatiform mole as a result of pathological examination in this process. There were 135 patients in the control group. Results: The number of patients who applied during the pandemic period and were diagnosed with PHM was 62 (44.92%). The mean age of the patients in the study group was 31.97±8.26 years. The mean body mass index of these patients was 26.38±5.13 m2/kg. The mean paternal age in the study group was 34.95±8.32 years, and it was higher than the paternal age of the patients in the control group (p=0.028). While the incidence of PHM was 1.22/1000 births in our hospital in 2019, this figure was calculated as 3.79/1000 births in 2020. The incidence of progression to GTN at 4 years before the pandemic was 0.02/1000 births; In 2020-2021, this rate was calculated as 0.25/1000 births. Conclusion: During the pandemic period, along with the increase in the incidence of PHM compared to the pre-pandemic period, an increase in the incidence of progression to GTN disease was detected.

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“…Although the literature review reveals a high level of research activity, most applications tend to be limited to the study of breast, lung, skin, cervical and prostate cancers. The study of HMs or molar pregnancy cancer is confined to the management and care of patients (Gul et al; 63 Khaskheli et al; 64 and Sebire 65 ). The literature review also shows that knowledge and expert heuristics are still unexplored, yet such expertise has the potential of improving the accuracy in classifying cancerous cells.…”

Section: Machine Learning Classification Approachesmentioning

confidence: 99%

Heuristic neural network approach in histological sections detection of hydatidiform mole

et al. 2019

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A heuristic-based, multineural network (MNN) image analysis as a solution to the problematical diagnosis of hydatidiform mole (HM) is presented. HM presents as tumors in placental cell structures, many of which exhibit premalignant phenotypes (choriocarcinoma and other conditions). HM is commonly found in women under age 17 or over 35 and can be partial HM or complete HM. Appropriate treatment is determined by correct categorization into PHM or CHM, a difficult task even for expert pathologists. Image analysis combined with pattern recognition techniques has been applied to the problem, based on 15 or 17 image features. The use of limited data for training and validation set was optimized using a k-fold validation technique allowing performance measurement of different MNN configurations. The MNN technique performed better than human experts at the categorization for both the 15-and 17-feature data, promising greater diagnostic consistency, and further improvements with the availability of larger datasets.

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A review of trophoblastic diseases at the medical school of Dicle university

Cited by 23 publications

References 12 publications

Prophylactic Chemotherapy with Methotrexate Leucovorin in High-Risk Hydatidiform Mole

Prophylactic Chemotherapy with Methotrexate Leucovorin in High-Risk Hydatidiform Mole

Does COVID-19 Affect the Course of Trophoblastic Gestational Disease in Partial Hydatidiform Moles; Is It A Viral or A Pandemic?

Heuristic neural network approach in histological sections detection of hydatidiform mole

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