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001-es BibID:	BIBFORM117861
Első szerző:	Herman Tünde (orvos)
Cím:	Hashimoto's thyroiditis negatively influences ICSI outcome in euthyroid women on T4 substitution therapy; a retrospective study / Tünde Herman, Péter Török, Antonio Simone Laganà, Vito Chiantera, Renato Venezia, Attila Jakab
Dátum:	2024
ISSN:	0378-7346
Megjegyzések:	Abstract Objective: To analyze the impact of thyroid autoimmunity (TAI) on reproductive outcome parameters of ICSI cycles as compared to TAI negative ICSI cycles. Design: In this single IVF center retrospective study 86 infertile women with elevated TPOAb or TGAb levels, but euthyroid after thyroxine replacement (study group), were compared to 69 female patients with no thyroid abnormalities (controls). Following ICSI treatment fertilization rate (FR), clinical pregnancy rate (CPR), miscarriage rate (MR) and live birth rate (LBR) were analyzed. Materials, Setting, Methods: All subjects with various infertility factors were treated with ICSI in university based IVF center. Patients in the study group received thryroxine replacement and were euthyreoid at IVF treatment. Before the IVF cycles endocrinological parameters were uniformly assessed: thyroid function and antibodies, reproductive hormones (AMH, FSH, LH, E2, PRL, testosterone, DHEAS, 17-OHP, AD) and OGTT (0-60-120 min glucose and insulin). Following descriptive comparison of laboratory parameters, age adjusted analyses of FR, CPR, MR and LBR were performed. Results: TAI positive women were older (mean age 35.31?4.95 vs. 32.15?4.87 years; p=0.002), had higher FSH (8.4?3.4 vs. 7.4?2.32 U/L; p=0.024), higher E2 (53.94?47.61 vs. 42.93?18.92 pg/ml; p=0.025) levels, while AMH (2.88?2.62 vs. 3.61?1.69 ng/ml; p=0.0002) was lower. There were no differences in TSH levels (1.64?0.96 vs. 1.66?0.65 uIU/ml; p=0.652) between the two groups. FT3 (2.63?0.58 vs. 2.98?0.55 pg/ml; p=0.002) was lower and FT4 (1.3?0.29 vs. 1.13?0.21 ng/dl; p=0.0002) was higher in the TAI positive group, reflecting clinically irrevelant differences. Egg cell counts (6?3.8 vs. 7.5?3.95; p=0.015) were lower in TAI and remained so following age adjustment. Although the overall ICSI FR did not differ (62.9 % vs. 69.1 %, p=0.12), it was lower for patients under 35 with TAI showing decreasing differences in line with age. The CPR (36.04 % vs. 69.56 %; p<0.001), LBR (23.25 % vs. 60.86 %; p<0.001) were lower, the MR (35.48 % vs. 12.5 %; p=0.024) was higher in the TAI group and these differences remained after age adjustment. Limitations: Since the higher age of the study group may interfere with the effect of TAI, age adjustment calculations were necessary to perform to eliminate this confounding factor. Conclusion: Despite optimal thyroid supplementation in clinical or subclinical hypothyreoidism, the presence of TAI negatively influences clinical pregnancy rate and is connected to a higher miscarriage rate, thus resulting in a lower live birth rate after ICSI. Decreased fertilization rate with ICSI in TAI patients may also contribute to poorer outcomes, especially in younger women.
Tárgyszavak:	Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk IVF ICSI Hashimoto thyreoiditis
Megjelenés:	Gynecologic And Obstetric Investigation. - [Epub ahead of print] (2024). -
További szerzők:	Török Péter (1975-) (szülész-nőgyógyász) Laganà, Antonio Simone Chiantera, Vito Venezia, Renato Jakab Attila (1964-) (szülész-nőgyógyász, endokrinológus)
Internet cím:	Intézményi repozitóriumban (DEA) tárolt változat DOI
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001-es BibID:	BIBFORM074341
035-os BibID:	(WOS)000454454600014 (Scopus)85049921240
Első szerző:	Török Péter (szülész-nőgyógyász)
Cím:	Digital Image Analysis with Fully Connected Convolutional Neural Network to Facilitate Hysteroscopic Fibroid Resection / Péter Török, Balázs Harangi
Dátum:	2018
ISSN:	0378-7346
Megjegyzések:	AimsTo determine the accuracy of deep neural network in identifying the plane between myoma and normal myometrium.MethodsOn the images of surgery, different structures were signed and annotated for the training phase. After the appropriate training of the deep neural network with 4688 images from that training set, 1600 formerly unseen images were used for testing.Indication for surgery was heavy menstrual bleeding and hysteroscopic finding was submucous fibroid. Operative intervention was fibroid resection. Recorded videos of transcervical resection of myoma in 13 cases were used for the study. Different filters and procedures were applied by the fully convolutional neural network (FCNN) for identifying previously annotated structures.ResultsPreviously manually annotated images and the manually drawn bitmasks were used for training the applied fully convolutional neural network and then this pre-trained network was used for automatic segmentation of normal myometrium in an unseen video frame. The segmentation pixel-wise accuracy achieved the 86.19% considering the Hausdorff metric.ConclusionUsing deep learning technique in analyzing process of endoscopic video frame could help in real-time identification of structures while performing endoscopic surgery.
Tárgyszavak:	Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk convolutional neural network deep learning endoscopy hysteroscopy fibroid
Megjelenés:	Gynecologic And Obstetric Investigation. - 83 : 6 (2018), p. 615-619. -
További szerzők:	Harangi Balázs (1986-) (programtervező matematikus)
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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