Introduction: Adrenocortical carcinoma (ACC) is a rare and aggressive malignancy, with an incidence of 1–2 cases per million annually. Its occurrence during pregnancy is exceptionally uncommon, presenting significant diagnostic and management challenges due to overlapping physiological changes and concerns for both maternal and fetal outcomes. While most cases are hormonally functional, non-functioning ACC during pregnancy is particularly rare and may result in delayed diagnosis. Case: A 35-year-old Malay female was referred following ultrasonography for persistent back and left flank pain, which revealed a left adrenal incidentaloma and a concurrent 10-week intrauterine pregnancy. There were no clinical signs of hormone excess. Physical examination revealed a normotensive patient with a large, palpable left abdominal mass, without Cushingoid or virilizing features. Magnetic resonance imaging (MRI) demonstrated a 12.1 × 10.3 × 12.8 cm heterogeneous left adrenal mass with cystic and necrotic components, displacing adjacent structures. Hormonal evaluation was within normal limits: 24-hour urinary cortisol 320.2 nmol/24 hours (reference range [RR] 11.8–350), midnight salivary cortisol <3 and 4.2 nmol/L (RR <11.3), plasma metanephrine <0.2 nmol/L (RR <0.5), normetanephrine 0.6 nmol/L (RR <0.9), and 17-hydroxyprogesterone 223 ng/dL (RR <285), consistent with a non-functioning tumor. Following multidisciplinary consultation, the patient underwent open left adrenalectomy at 16 weeks’ gestation. Histopathological analysis confirmed ACC (Weiss score 8/9) without extra-adrenal extension. Surveillance MRI at 32 weeks demonstrated no recurrence or residual mass. At 40 weeks’ gestation, she delivered a healthy infant, and both mother and child remain well on follow-up. Conclusion Non-functioning ACC during pregnancy is rare and poses significant diagnostic challenges. Early imaging, comprehensive hormonal assessment, and timely surgical intervention during the second trimester are essential. Multidisciplinary management is crucial to optimizing maternal and fetal outcomes.
Female ; Pregnancy ; Heart Rate ; Neoplasms

OBJECTIVE: To explore the effects of electroacupuncture (EA) on pregnancy outcomes after assisted reproduction and mitochondrial function of granulosa cells (GCs) in patients with polycystic ovary syndrome (PCOS) and phlegm-dampness syndrome. METHODS: In this randomized controlled trial, 90 infertile women with PCOS and phlegm-dampness syndrome were recruited between August 2022 and December 2022. Patients were randomly assigned to the EA and control groups using a random sequence of codes in the order of enrolment, with 45 in in each group. Both groups underwent the ovarian stimulation protocol. The patients in the EA group received EA therapy including Zhongwan (CV 12), Qihai (CV 6), bilateral Xuehai (SP 10), Sanyinjiao (SP 6), Yinlingquan (SP 9), Tianshu (ST 25), Zusanli (ST 36), and Fenglong (ST 40), and the patients in the control group was treated with pseudo-acupuncture. The intervention was 25 min twice a week for a total of 6 times until the trigger day after menstruation had ended in the cycle before oocyte retrieval. The primary outcomes were clinical pregnancy rate (CPR) and the number of high-quality embryos. The secondary outcomes were (1) pregnancy-related indicators, including fresh embryo transfer rate (ETR), ovarian hyperstimulation syndrome (OHSS) rate, early pregnancy loss rate (ePLR), ectopic pregnancy rate, live birth rate (LBR), and cumulative CPR; (2) mitochondrial autophagy and mitochondrial membrane potential (MMP) in GCs; and (3) scoring for Chinese medicine syndrome. Adverse events to assess clinical safety were also monitored. RESULTS: The cumulative CPR was significantly higher in the EA group (42/45, 93.3%) than in the control group (38/45, 84.4%, P=0.036). The number of high-quality embryos and fresh ETR in the EA group were higher than those in the control group (3.80±1.65 vs. 2.44±1.34, P<0.001; 46.7% vs 24.4%, P=0.028). Ectopic pregnancies were not observed in either group. There were no significant differences in the fresh CPR, OHSS rate, ePLR or LBR between the two groups (P>0.05). Compared with the control group, the EA group showed lower expression levels of miR-146a-5p mRNA and P62 protein in GCs and higher levels of MMP and the LC3-II/LC3-I protein ratio (all P<0.01). The phlegm-dampness syndrome scores of the EA group were significantly lower than those of the control group (P<0.01). CONCLUSIONS EA significantly improved pregnancy outcomes in patients with PCOS and phlegm dampness syndrome. Mechanistically, this effect may be related to EA in decreasing miR-146a-5p mRNA expression, promoting mitochondrial autophagy in GCs, and improving mitochondrial function, which may contribute to improved oocyte quality. (Trial registration No. ChiCTR2200062915).
Humans ; Female ; Polycystic Ovary Syndrome/therapy* ; Pregnancy ; Electroacupuncture ; Granulosa Cells/metabolism* ; Adult ; Mitochondria/metabolism* ; Pregnancy Outcome ; Pregnancy Rate ; Reproductive Techniques, Assisted ; Infertility, Female/therapy*

OBJECTIVES: Platelet-rich plasma (PRP) treatment has been reported to improve ovarian function in women, but the relationship between the dose and frequency of PRP treatment and its therapeutic effect remains unclear. This study aims to evaluate the efficacy of single and double PRP treatments for diminished ovarian reserve (DOR). METHODS: A total of 65 patients treated at the Reproductive Center of Xiangtan Central Hospital from September 2020 to October 2022 were randomly divided into 4 groups: A single PRP treatment group (21 patients, PRP treatment once), a double PRP treatment group (15 patients, PRP treatment twice), a blank control group (15 patients), and an artificial cycle control group (14 patients, treated with estrogen and progesterone). The differences in baseline follicle-stimulating hormone (FSH), antral follicle count (AFC), ovarian volume, number of oocytes retrieved, number of good quality embryos, and pregnancy outcomes before and after treatment were compared among the 4 groups. RESULTS: Compared to before treatment, both single and double PRP treatment groups showed a significant reduction in FSH, and an increase in AFC, ovarian volume, numbers of oocytes retrieved, and number of MII oocytes (all P<0.05). Compared to the blank control group, the single and double PRP groups showed a decrease in FSH, with an increase in AFC, number of oocytes retrieved, and number of MII oocytes (all P<0.05). The rates of good quality embryos, clinical pregnancy rate, and live birth rate in the single and double PRP groups were higher than those in the blank control group and artificial cycle control groups, but the differences were not statistically significant (all P>0.05). Compared to the single PRP treatment group, the double PRP group had lower FSH and higher AFC, but the differences were not statistically significant (both P>0.05). CONCLUSIONS Both single and double PRP ovarian injections can effectively improve ovarian reserve function in DOR patients and enhance ovarian response. Compared to single PRP ovarian injection, double PRP ovarian injection shows a trend of better improvement in ovarian reserve function.
Humans ; Female ; Platelet-Rich Plasma ; Ovarian Reserve/physiology* ; Adult ; Pregnancy ; Follicle Stimulating Hormone/blood* ; Pregnancy Rate ; Ovary ; Ovulation Induction/methods* ; Ovarian Follicle ; Oocyte Retrieval

This paper proposes a motor imagery recognition algorithm based on feature fusion and transfer adaptive boosting (TrAdaboost) to address the issue of low accuracy in motor imagery (MI) recognition across subjects, thereby increasing the reliability of MI-based brain-computer interfaces (BCI) for cross-individual use. Using the autoregressive model, power spectral density and discrete wavelet transform, time-frequency domain features of MI can be obtained, while the filter bank common spatial pattern is used to extract spatial domain features, and multi-scale dispersion entropy is employed to extract nonlinear features. The IV-2a dataset from the 4 ^th International BCI Competition was used for the binary classification task, with the pattern recognition model constructed by combining the improved TrAdaboost integrated learning algorithm with support vector machine (SVM), k nearest neighbor (KNN), and mind evolutionary algorithm-based back propagation (MEA-BP) neural network. The results show that the SVM-based TrAdaboost integrated learning algorithm has the best performance when 30% of the target domain instance data is migrated, with an average classification accuracy of 86.17%, a Kappa value of 0.723 3, and an AUC value of 0.849 8. These results suggest that the algorithm can be used to recognize MI signals across individuals, providing a new way to improve the generalization capability of BCI recognition models.
Brain-Computer Interfaces ; Humans ; Support Vector Machine ; Algorithms ; Neural Networks, Computer ; Imagination/physiology* ; Pattern Recognition, Automated/methods* ; Electroencephalography ; Wavelet Analysis

Cardiotocography (CTG) is a non-invasive and important tool for diagnosing fetal distress during pregnancy. To meet the needs of intelligent fetal heart monitoring based on deep learning, this paper proposes a TWD-MOAL deep active learning algorithm based on the three-way decision (TWD) theory and multi-objective optimization Active Learning (MOAL). During the training process of a convolutional neural network (CNN) classification model, the algorithm incorporates the TWD theory to select high-confidence samples as pseudo-labeled samples in a fine-grained batch processing mode, meanwhile low-confidence samples annotated by obstetrics experts were also considered. The TWD-MOAL algorithm proposed in this paper was validated on a dataset of 16 355 prenatal CTG records collected by our group. Experimental results showed that the algorithm proposed in this paper achieved an accuracy of 80.63% using only 40% of the labeled samples, and in terms of various indicators, it performed better than the existing active learning algorithms under other frameworks. The study has shown that the intelligent fetal heart monitoring model based on TWD-MOAL proposed in this paper is reasonable and feasible. The algorithm significantly reduces the time and cost of labeling by obstetric experts and effectively solves the problem of data imbalance in CTG signal data in clinic, which is of great significance for assisting obstetrician in interpretations CTG signals and realizing intelligence fetal monitoring.
Humans ; Pregnancy ; Female ; Cardiotocography/methods* ; Deep Learning ; Neural Networks, Computer ; Algorithms ; Fetal Monitoring/methods* ; Heart Rate, Fetal ; Fetal Distress/diagnosis* ; Fetal Heart/physiology*

Heart rate variability time and frequency indices are widely used in functional assessment for autonomic nervous system (ANS). However, this method merely analyzes the effect of cardiac dynamics, overlooking the effect of cardio-pulmonary interplays. Given this, the present study proposes a novel cardiopulmonary coupling (CPC) algorithm based on cross-wavelet transform to quantify cardio-pulmonary interactions, and establish an assessment system for ANS aging effects using wearable electrocardiogram (ECG) and respiratory monitoring devices. To validate the superiority of the proposed method under nonstationary and low signal-to-noise ratio conditions, simulations were first conducted to demonstrate the performance strength of the proposed method to the traditional one. Next, the proposed CPC algorithm was applied to analyze cardiac and respiratory data from both elderly and young populations, revealing that young populations exhibited significantly stronger couplings in the high-frequency band compared with their elderly counterparts. Finally, a CPC assessment system was constructed by integrating wearable devices, and additional recordings from both elderly and young populations were collected by using the system, completing the validation and application of the aging effect assessment algorithm and the wearable system. In conclusion, this study may offers methodological and system support for assessing the aging effects on the ANS.
Humans ; Autonomic Nervous System/physiology* ; Algorithms ; Aging/physiology* ; Electrocardiography/methods* ; Heart Rate/physiology* ; Wavelet Analysis ; Aged ; Signal Processing, Computer-Assisted ; Wearable Electronic Devices

Testicular tumor is the most common solid malignancy in males under 40 years of age. This malignancy is known to have a negative impact on male fertility. Therefore, several techniques for sperm retrieval have been proposed, including microdissection testicular sperm extraction (mTESE). The objective of this study was to review the literature on the outcomes of oncological (Onco)-mTESE at the time of radical orchiectomy. We conducted a comprehensive literature search through PubMed, Scopus, and Cochrane Central Controlled Register of Trials. Only studies reporting ex vivo mTESE in patients with testicular tumor were considered. Twelve papers met the inclusion criteria and were included in this review. Tumor size was identified as the sole preoperative factor influencing spermatogenesis. The considered studies demonstrated a satisfactory success rate for Onco-mTESE, associated with a similarly valid percentage of live healthy births through assisted reproductive technology. Currently, no comparison has been made between Onco-mTESE and conventional Onco-TESE, hence further assessment is required. In cases where the tumor completely replaces the cancer-bearing testicle, a contralateral micro-TESE may be a viable alternative. However, the surgeon should evaluate associated risks and benefits preoperatively. In conclusion, Onco-mTESE at the time of radical orchiectomy appears to be a promising therapeutic option for young patients with testicular tumors. Nevertheless, additional studies are necessary to achieve a definitive conclusion.
Humans ; Male ; Azoospermia/etiology* ; Sperm Retrieval ; Orchiectomy/methods* ; Testicular Neoplasms/complications* ; Microdissection/methods* ; Testis/surgery* ; Adult

When microdissection testicular sperm extraction (micro-TESE) fails, a redo procedure may be the only option for patients who want a biological child. However, there are many gaps of knowledge surrounding the procedure, which need to be addressed to help clinicians and patients make informed decisions. This review explores redo micro-TESE in the context of nonobstructive azoospermia (NOA). Literature was searched using Google Scholar, Medline, and PubMed. Search terms were "NOA" AND "second microdissection testicular sperm extractions" AND "redo microdissection testicles sperm extraction" AND "repeat microdissection testicular sperm extractions" AND "failed microdissection testicular sperm extractions" AND "salvage microdissection testicular sperm extractions". Only original articles in English were included. A total of nine articles were included, consisting of four retrospective and five prospective studies. The time gap between the first and second micro-TESE varied from 6 months to 24 months. Most of the included studies reported successful surgical sperm retrieval (SSR) in the second micro-TESE in the range of 10%-21%, except in one study where it reached 42%. It has not been presented any definitive information about the use of hormonal treatment or the benefit of varicocelectomy prior to the second micro-TESE. Patients with hypospermatogenesis and Klinefelter syndrome (KS) had the highest chance of success in redo surgery. In conclusion, redo micro-TESE following a negative procedure can lead to sperm recovery in 10%-21%. Patients with hypospermatogenesis and KS have a higher chance of success. There is no enough evidence to conclude which is the best hormonal stimulation if any before a redo surgery.
Humans ; Male ; Azoospermia/surgery* ; Sperm Retrieval ; Microdissection ; Reoperation ; Treatment Failure ; Testis/surgery* ; Treatment Outcome

Nonobstructive azoospermia (NOA) is the most challenging and complex clinical scenario for infertile men. Besides circumstances such as hypogonadotropic hypogonadism, surgical sperm retrieval is typically necessary, and microdissection testicular sperm extraction (micro-TESE) is the procedure of choice for men with NOA desiring to father children with their own gametes. Micro-TESE results in the highest numbers of sperm cells retrieved for use with in vitro fertilization/intracytoplasmic sperm injection (ICSI) in comparison to all other techniques for surgical sperm retrieval in men with NOA. Several factors may affect sperm retrieval rate and ICSI outcomes, including the patient's age, testicular volume, histopathological and genetic profile, and serum hormone levels. This article aims to review the medical literature describing predictors of successful micro-TESE and the outcomes of ICSI in men with NOA.
Humans ; Azoospermia/surgery* ; Male ; Sperm Injections, Intracytoplasmic ; Sperm Retrieval ; Treatment Outcome ; Testis/pathology* ; Female ; Microdissection

Nonobstructive azoospermia (NOA) is considered the most challenging clinical scenario for infertile men and current treatments leave many men unsuccessful at being able to achieve a pregnancy with their partner using their own sperm. Microdissection testicular sperm extraction (micro-TESE) is the choice for men with NOA desiring to father children with their own gametes. Micro-TESE results in the highest numbers of sperm cells retrieved for use with in vitro fertilization/intracytoplasmic sperm injection. With suboptimal micro-TESE success rates of sperm retrieval and then pregnancy and live birth using the retrieved sperm with in vitro fertilization/intracytoplasmic sperm injection, advances to improve outcomes are necessary. This article comprehensively reviews the technologies investigated to date to improve the outcomes for men undergoing micro-TESE.
Humans ; Male ; Sperm Retrieval ; Azoospermia/surgery* ; Pregnancy ; Female ; Sperm Injections, Intracytoplasmic ; Microdissection/methods* ; Fertilization in Vitro ; Testis/surgery*