Objective To explore the prevalence of depressive symptoms in postoperative patients with ovarian cancer and to analyze its influencing factors from multiple dimensions, including clinical characteristics, psychological factors, and laboratory indicators. Methods A cross-sectional study was conducted, which enrolled 235 postoperative patients with ovarian cancer. Depressive status was assessed using the patient health questionnaire, and the demographic, pathological, and medical record data of the patients were collected using the generalized anxiety disorder scale, Pittsburgh sleep quality index, European organization for research and treatment of cancer quality of life questionnaire core 30, and ECOG performance status score. Peripheral blood tumor marker (CA125), routine blood test, lymphocyte subsets, and serum cytokine levels were measured. Univariate and multivariate binary logistic regression analysis were used for statistical analysis. Results The prevalence of depression in postoperative patients with ovarian cancer was 39.15% (92/235). Univariate analysis showed that ECOG score ≥ 2 points, pain, anxiety, poor sleep quality, low quality of life, low life satisfaction, tumor recurrence, six or more cycles of chemotherapy, as well as higher levels of CA125, NLR, and NAR, and lower hemoglobin levels were significantly associated with depression (all P<0.05). Multivariate binary Logistic regression analysis showed that anxiety (OR=1.975, 95%CI: 1.231-3.170), sleep efficiency (OR=4.181, 95%CI: 1.211-14.43), sleep latency (OR=34.806, 95%CI: 4.258-284.542), ECOG performance status score, cognitive function (OR=0.918, 95%CI: 0.868-0.97), and life satisfaction were independent risk factors for depression (all P<0.05). Laboratory indicators were not independent influencing factors in the multivariate Logistic regression model. Conclusion Depression in postoperative patients with ovarian cancer is influenced by physiological, psychological, and social factors. Clinical management should focus on patients with anxiety, sleep disorders, poor physical condition, and low life satisfaction, and a comprehensive prevention and treatment strategy centered on psychological intervention and taking into account symptom management and social support should be implemented.

Hemoglobin (Hb) concentration is a key clinical biomarker for diagnosing and managing anemia, ischemic stroke, perioperative blood loss, and chronic diseases such as renal failure. Traditional venous blood sampling remains the gold standard due to its high accuracy, but its invasive nature limits frequent testing, real time monitoring, and large scale screening. This has driven growing interest in non-invasive Hb detection technologies over the past decade. Among these, optical methods are the most promising because of their safety, potential for continuous monitoring, and compatibility with portable or wearable devices. This paper systematically reviews major advances in optical non invasive Hb detection from the last ten years. We focus on near-infrared spectroscopy branches—photoplethysmography (PPG) and dynamic spectrum (DS)—and also cover color analysis/RGB imaging, Raman spectroscopy, and photoacoustic spectroscopy. For each technology, we explain its detection principles, analyze advantages and limitations, and summarize optimization strategies reported in recent literature. PPG, based on pulsatile blood volume changes, underpins many commercial continuous monitors. However, its accuracy is constrained by motion artifacts, individual physiological variations (e.g., skin tone, tissue thickness), and low AC signal to noise ratio. In contrast, DS—an advanced derivative of PPG—uses a differential principle to extract absorbance changes between systolic and diastolic peaks. This theoretically eliminates interference from static tissues (skin, bone, venous blood) and common mode noise (e.g., ambient light), positioning DS as a more robust framework for high precision Hb quantification. Beyond spectral methods, color analysis/RGB imaging offers a hardware minimalist approach. By analyzing images of vascular rich, thin tissues (e.g., conjunctiva, nail beds, palms), it enables Hb estimation using smartphone cameras. Recent advances have shifted from manual RGB feature extraction to deep learning models and spectral super resolution that reconstruct hyperspectral data from RGB inputs, significantly improving screening accuracy. Our academic perspective emphasizes critical and integrative analysis. We highlight persistent challenges that hinder clinical translation: profound individual biological variability (skin optics, microvascular architecture), sensitivity to measurement conditions (pressure, ambient light), and a lack of standardized validation protocols and multi center trials. A central thesis is that no single optical method is universally superior; each involves trade offs between accuracy, complexity, cost, and practicality. Looking forward, we posit that the next performance leap will come from multimodal information fusion—combining PPG, electrocardiogram (ECG), bioimpedance, or different optical modalities to compensate for individual differences and environmental noise. AI and deep learning are essential not only for image analysis but also for automated, end to end feature extraction from complex waveforms like PPG sequences. Advancing hardware (tunable lasers, quantum dot LEDs, novel sensor designs) is crucial to improve signal fidelity and portability. Finally, we advocate for clinical scenario specific optimization and rigorous standardized evaluation frameworks to gain regulatory approval (e.g., FDA, NMPA) and achieve widespread clinical acceptance. In conclusion, this review synthesizes a decade of progress. Optical non-invasive Hb detection has evolved from proof of concept studies to emerging products and validated screening tools, but the journey toward reliable, clinic ready quantitative devices continues. The convergence of smarter algorithms, fused sensing modalities, and focused clinical validation offers the most promising path to transform this potential into routine medical practice, ultimately enabling personalized, continuous, and accessible hematological management.

PURPOSE: The rate of complications among patients undergoing surgery has increased due to infection with SARS-CoV-2 and other variants of concern. However, Omicron has shown decreased pathogenicity, raising questions about the risk of postoperative complications among patients who are infected with this variant. This study aimed to investigate complications and related factors among patients with recent Omicron infection prior to undergoing orthopedic surgery. METHODS: A historical control study was conducted. Data were collected from all patients who underwent surgery during 2 distinct periods: (1) between Dec 12, 2022 and Jan 31, 2023 (COVID-19 positive group), (2) between Dec 12, 2021 and Jan 31, 2022 (COVID-19 negative control group). The patients were at least 18 years old. Patients who received conservative treatment after admission or had high-risk diseases or special circumstances (use of anticoagulants before surgery) were excluded from the study. The study outcomes were the total complication rate and related factors. Binary logistic regression analysis was used to identify related factors, and odds ratio (OR) and 95% confidence interval (CI) were calculated to assess the impact of COVID-19 infection on complications. RESULTS: In the analysis, a total of 847 patients who underwent surgery were included, with 275 of these patients testing positive for COVID-19 and 572 testing negative. The COVID-19-positive group had a significantly higher rate of total complications (11.27%) than the control group (4.90%, p < 0.001). After adjusting for relevant factors, the OR was 3.08 (95% CI: 1.45-6.53). Patients who were diagnosed with COVID-19 at 3-4 weeks (OR = 0.20 (95% CI: 0.06-0.59), p = 0.005), 5-6 weeks (OR = 0.16 (95% CI: 0.04-0.59), p = 0.010), or ≥7 weeks (OR = 0.26 (95% CI: 0.06-1.02), p = 0.069) prior to surgery had a lower risk of complications than those who were diagnosed at 0-2 weeks prior to surgery. Seven factors (age, indications for surgery, time of operation, time of COVID-19 diagnosis prior to surgery, C-reactive protein levels, alanine transaminase levels, and aspartate aminotransferase levels) were found to be associated with complications; thus, these factors were used to create a nomogram. CONCLUSION Omicron continues to be a significant factor in the incidence of postoperative complications among patients undergoing orthopedic surgery. By identifying the factors associated with these complications, we can determine the optimal surgical timing, provide more accurate prognostic information, and offer appropriate consultation for orthopedic surgery patients who have been infected with Omicron.
Humans ; COVID-19/complications* ; Male ; Female ; Middle Aged ; Postoperative Complications/epidemiology* ; SARS-CoV-2 ; Orthopedic Procedures/adverse effects* ; Aged ; Nomograms ; Adult ; Retrospective Studies ; Risk Factors

OBJECTIVES: To investigate the genomic characteristics and prognostic factors of juvenile myelomonocytic leukemia (JMML) with RAS mutations. METHODS: A retrospective analysis was conducted on the clinical data of JMML children with RAS mutations treated at the Hematology Hospital of Chinese Academy of Medical Sciences, from January 2008 to November 2022. RESULTS: A total of 34 children were included, with 17 cases (50%) having isolated NRAS mutations, 9 cases (27%) having isolated KRAS mutations, and 8 cases (24%) having compound mutations. Compared to children with isolated NRAS mutations, those with NRAS compound mutations showed statistically significant differences in age at onset, platelet count, and fetal hemoglobin proportion (P<0.05). Cox proportional hazards regression model analysis revealed that hematopoietic stem cell transplantation (HSCT) and hepatomegaly (≥2 cm below the costal margin) were factors affecting the survival rate of JMML children with RAS mutations (P<0.05); hepatomegaly was a factor affecting survival in the non-HSCT group (P<0.05). CONCLUSIONS Children with NRAS compound mutations have a later onset age compared to those with isolated NRAS mutations. At initial diagnosis, children with NRAS compound mutations have poorer peripheral platelet and fetal hemoglobin levels than those with isolated NRAS mutations. Liver size at initial diagnosis is related to the prognosis of JMML children with RAS mutations. HSCT can improve the prognosis of JMML children with RAS mutations.
Humans ; Leukemia, Myelomonocytic, Juvenile/therapy* ; Mutation ; Male ; Female ; Child, Preschool ; Retrospective Studies ; Child ; Infant ; GTP Phosphohydrolases/genetics* ; Membrane Proteins/genetics* ; Adolescent ; Hematopoietic Stem Cell Transplantation ; Proportional Hazards Models ; Proto-Oncogene Proteins p21(ras)/genetics* ; Prognosis

Metastasis remains the primary cause of cancer-related mortality worldwide. Circulating tumor cells (CTCs) represent critical targets for metastasis prevention and treatment. Traditional Chinese medicine may prevent lung cancer metastasis through long-term intervention in CTC activity. Tiao-Shen-Zhi-Ai Formular (TSZAF) represents a Chinese medicine compound prescription utilized clinically for lung cancer treatment. This study combined three principal active ingredients from TSZAF into a novel TSZAF monomer combination (TSZAF mc) to investigate its anti-metastatic effects and mechanisms. TSZAF mc demonstrated significant inhibition of proliferation, migration, and invasion in CTC-TJH-01 and LLC cells, while inducing cellular apoptosis in vitro. Moreover, TSZAF mc substantially inhibited LLC cell growth and metastasis in vivo. Mechanistically, TAZSF mc significantly suppressed the Wnt/β-catenin signaling pathway and CXCL5 expression in lung cancer cells and tissues. Additionally, TAZSF mc notably reduced neutrophil infiltration in metastatic lesions. These findings indicate that TSZAF mc inhibits lung cancer growth and metastasis by suppressing the Wnt/β-catenin signaling pathway and reducing CXCL5 secretion, thereby decreasing neutrophil recruitment and infiltration. TSZAF mc demonstrates potential as an effective therapeutic agent for lung cancer metastasis.
Lung Neoplasms/genetics* ; Wnt Signaling Pathway/drug effects* ; Animals ; Humans ; Drugs, Chinese Herbal/pharmacology* ; Mice ; Neoplasm Metastasis/prevention & control* ; Cell Proliferation/drug effects* ; Cell Line, Tumor ; Neutrophil Infiltration/drug effects* ; Down-Regulation/drug effects* ; Cell Movement/drug effects* ; beta Catenin/genetics* ; Apoptosis/drug effects* ; Mice, Inbred C57BL ; Male ; Neoplastic Cells, Circulating/drug effects*

This study aims to explore the scientific connotation of sinking Rehmanniae Radix has the best quality and compare the quality between floating and sinking fresh Rehmanniae Radix samples. Ultra-performance liquid chromatography tandem quadrupole electrostatic field Orbitrap high-resolution mass spectrometry(UHPLC-Q-Orbitrap HRMS) was employed to detect the chemical components in floating and sinking fresh Rehmanniae Radix samples. The fingerprint of fresh Rehmanniae Radix was established by high performance liquid chromatography(HPLC), and four index components were determined simultaneously. The cluster analysis, principal component analysis(PCA), and orthogonal partial least squares-discriminant analysis(OPLS-DA) were conducted to compare the quality of floating and sinking fresh Rehmanniae Radix samples. An evaporative light-scattering detector was used to compare the content of five sugars. The extract yield and drying rate were determined, and the quality connotation of sinking Rehmanniae Radix has the best quality was explained by multiple indicators. A total of 41 components were preliminarily identified from fresh Rehmanniae Radix by UHPLC-Q-Orbitrap HRMS, including 7 iridoid glycosides, 9 phenylethanol glycosides, 6 amino acids, 4 sugars, 3 phenolic acids, 5 nucleosides, 3 organic acids, 1 ionone, 1 furan, 1 coumarin, and 1 phenylpropanoid. The results showed that the main chemical components were consistent between floating and sinking fresh Rehmanniae Radix. Nine common peaks were identified in the fingerprints of 15 batches of floating and sinking fresh Rehmanniae Radix samples, and the similarity of fingerprints was greater than 0.9. The cluster analysis, PCA, and OPLS-DA classified floating and sinking fresh Rehmanniae Radix sasmples into two categories, indicating differences in the quality between them. The total content of catalpol, rehmannioside D, ajugol, and verbascoside in sinking fresh Rehmanniae Radix samples was higher than that in floating samples of the same batch and specification, and the main differential component was catalpol. The total content of fructose, glucose, sucrose, raffinose, and stachyose in sinking fresh Rehmanniae Radix samples was higher than that in floating samples of the same batch and specification, and the main differential component was stachyose. The extract yield and drying rate of the sinking samples were higher than those of floating samples. This study preliminarily showed that floating and sinking fresh Rehmanniae Radix samples had the same components but great differences in the content of medicinal substance basis. The total content of four glycosides and five sugars, extract yield, and drying rate of sinking fresh Rehmanniae Radix samples is higher than that of floating samples of the same batch and specification. These findings, to a certain extent, explains the scientificity of sinking Rehmanniae Radix has the best quality recorded in ancient books and provide a reference for the quality control and clinical application of fresh Rehmanniae Radix.
Chromatography, High Pressure Liquid/methods* ; Drugs, Chinese Herbal/chemistry* ; Rehmannia/chemistry* ; Chemometrics ; Mass Spectrometry/methods* ; Quality Control ; Principal Component Analysis ; Plant Extracts

This study aims to investigate the effect of Chaijin Jieyu Anshen Formula on the neuroinflammation of rats with insomnia complicated with depression through the regulation of triggering receptor expressed on myeloid cells 2(TREM2)/complement protein C1q signaling pathway. Rats were randomly divided into a normal group, a model group, a positive drug group, as well as a high, medium, and low-dose groups of Chaijin Jieyu Anshen Formula, with 10 rats in each group. Except for the normal group, the other groups were injected with p-chlorophenylalanine and exposed to chronic unpredictable mild stress to establish the rat model of insomnia complicated with depression. The sucrose preference experiment, open field experiment, and water maze test were performed to evaluate the depression in rats. Enzyme-linked immunosorbent assay was employed to detect serum 5-hydroxytryptamine(5-HT), dopamine(DA), and norepinephrine(NE) levels. Hematoxylin and eosin staining and Nissl staining were used to observe the damage in nucleus accumbens neurons. Western blot and immunofluorescence were performed to detect TREM2, C1q, postsynaptic density 95(PSD-95), and synaptophysin 1(SYN1) expressions in rat nucleus accumbens, respectively. Golgi-Cox staining was utilized to observe the synaptic spine density of nucleus accumbens neurons. The results show that, compared with the model group, Chaijin Jieyu Anshen Formula can significantly increase the sucrose preference as well as the distance and number of voluntary activities, shorten the immobility time in forced swimming test and the successful incubation period of positioning navigation, and prolong the stay time of space exploration in the target quadrant test. The serum 5-HT, DA, and NE contents in the model group are significantly lower than those in the normal group, with the above contents significantly increased after the intervention of Chaijin Jieyu Anshen Formula. In addition, Chaijin Jieyu Anshen Formula can alleviate pathological damages such as swelling and loose arrangement of tissue cells in the nucleus accumbens, while increasing the Nissl body numbers. Chaijin Jieyu Anshen Formula can improve synaptic damage in the nucleus accumbens and increase the synaptic spine density. Compared to the normal group, the expression of C1q protein was significantly higher in the model group, while the expression of TREM2 protein was significantly lower. Compared to the model group, the intervention with Chaijin Jieyu Anshen Formula significantly downregulated the expression of C1q protein and significantly upregulated the expression of TREM2. Compared with the model group, the PSD-95 and SYN1 fluorescence intensity is significantly increased in the groups receiving different doses of Chaijin Jieyu Anshen Formula. In summary, Chaijin Jieyu Anshen Formula can reduce the C1q protein expression, relieve the TREM2 inhibition, and promote the synapse-related proteins PSD-95 and SNY1 expression. Chaijin Jieyu Anshen Formula improves synaptic injury of the nucleus accumbens neurons, thereby treating insomnia complicated with depression.
Animals ; Male ; Rats ; Nucleus Accumbens/metabolism* ; Drugs, Chinese Herbal/administration & dosage* ; Depression/complications* ; Membrane Glycoproteins/genetics* ; Rats, Sprague-Dawley ; Sleep Initiation and Maintenance Disorders/complications* ; Neurons/metabolism* ; Receptors, Immunologic/genetics* ; Signal Transduction/drug effects* ; Synapses/metabolism*

Inflammatory diseases (IDs) are a general term of diseases characterized by chronic inflammation as the primary pathogenetic mechanism, which seriously affect the quality of patient′s life and cause significant social and medical burden. Current drugs for IDs include nonsteroidal anti-inflammatory drugs, corticosteroids, immunomodulators, biologics, and antioxidants, but these drugs may cause gastrointestinal side effects, induce or worsen infections, and cause non-response or intolerance. Given the outstanding performance of metal polyphenol network (MPN) in the fields of drug delivery, biomedical imaging, and catalytic therapy, its application in the diagnosis and treatment of IDs has attracted much attention and significant progress has been made. In this paper, we first provide an overview of the types of IDs and their generating mechanisms, then sort out and summarize the different forms of MPN in recent years, and finally discuss in detail the characteristics of MPN and their latest research progress in the diagnosis and treatment of IDs. This research may provide useful references for scientific research and clinical practice in the related fields.

Objective:To evaluate the efficacy and immunological mechanisms of pegylated interferon α-2b (Peg-IFNα-2b) antiviral therapy in treatment-naive patients with chronic hepatitis B(CHB).Methods:A total of 166 treatment-naive CHB patients, who were treated at Department of Infectious Diseases, the Second Affiliated Hospital of Nanchang University from March 2021 to March 2023, were enrolled in this study. All the patients received Peg-IFNα-2b therapy for 48 weeks. Serum hepatitis B virus (HBV) DNA, HBV serological markers, biochemical parameters, peripheral blood lymphocyte subsets and serum cytokine levels were detected and compared before and after treatment. Chi-square test, Mann-Whitney U test and paired sample t test were used for statistical comparison. Multivariate logistic regression analysis was used to analyze the influencing factors of hepatitis B surface antigen (HBsAg) seroconversion by stepwise regression method, and the receiver operator characteristic curve (ROC curve) was used to evaluate the predictive efficacy of immune indicators on HBsAg seroconversion. Results:Among the 166 treatment-naive CHB patients, the rate of HBV DNA negativity following 48 weeks of Peg-IFNα-2b therapy was 71.08%(118/166), the rate of hepatitis B e antigen (HBeAg) negativity was 32.05%(25/78), and the rate of HBsAg negativity was 20.48%(34/166). HBsAg negativity rate was 52.17%(24/46) in patients with baseline HBsAg<200 IU/mL, 10.26%(4/39) in patients with baseline HBsAg 200 to <1 200 IU/mL, and 7.41%(6/81) in patients with baseline HBsAg≥1 200 IU/mL, and the difference was statistically significant( χ2=39.37, P<0.001). After 48 weeks of treatment, serum levels of alanine transaminase (ALT), aspartate transaminase (AST), total bilirubin (TBil), and alpha-fetoprotein (AFP) were significantly lower than those before treatment ( Z=9.33, 8.58, 5.99, 2.36, respectively, all P<0.05). lmmune indicators were detected in 58 patients, and the proportion of peripheral blood lymphocytes increased significantly post-treatment, with notable increases in CD3 + CD8 + T/CD3 + T, CD3 + CD4 + DR + /CD3 + CD4 + , CD3 + CD8 + DR + /CD3 + CD8 + , CD3 + CD8 + CD38 + /CD3 + CD8 + , CD3 + CD8 + CD28 + /CD3 + CD8 + , and CD19 + B cells, and the differences were all statistically significant ( t=-2.56, t=-8.65, Z=-3.58, t=-3.66, Z=-3.04, t=-3.62, t=-3.87, respectively, all P<0.05). Conversely, the proportion of CD3 + , CD3 + CD4 + T/CD3 + T, CD3 + CD4 + CD45RO + /CD3 + CD4 + , CD3 + CD8 + CD45RO + /CD3 + CD8 + and the CD4 + /CD8 + ratio decreased significantly post-treatment ( t=3.13, t=5.61, t=3.69, Z=3.95, Z=7.33, respectively, all P<0.05). No significant differences were observed in the proportion of CD16 + CD56 + natural killer (NK) cells, CD3 + CD4 + CD28 + /CD3 + CD4 + , CD3 + CD4 + CD38 + /CD3 + CD4 + cells before and after treatment (all P>0.05). Serum levels of interleukin(IL)-8, IL-12P70, and IL-17 significantly decreased post-treatment ( Z=2.85, 3.26, 4.12, respectively, all P<0.05), while IL-2, IL-1β, and interferon(IFN)-α levels were significantly elevated compared to baseline ( Z=-4.92, -4.85, -9.01, respectively, all P<0.001). There were no significant differences in IL-4, IL-6, and IL-10 levels before and after treatment (all P>0.05). Logistic regression analysis identified CD3 + CD8 + T/CD3 + T(odd ratios ( OR)=1.198, 95%confidence interval( CI) 1.003 to 1.432, P=0.046), CD3 + CD4 + DR + /CD3 + CD4 + ( OR=1.185, 95% CI 1.035 to 1.357, P=0.014), CD3 + CD8 + DR + /CD3 + CD8 + ( OR=0.813, 95% CI 0.690 to 0.958, P=0.013), CD3 + CD4 + CD38 + /CD3 + CD4 + ( OR=0.678, 95% CI 0.488 to 0.940, P=0.020), CD3 + CD8 + CD38 + /CD3 + CD8 + ( OR=1.272, 95% CI 1.069 to 1.512, P=0.007), CD19 + B cells( OR=0.752, 95% CI 0.582 to 0.971, P=0.029), IL-2( OR=8.568, 95% CI 1.927 to 38.087, P=0.005), and IL-17( OR=0.728, 95% CI 0.535 to 0.989, P=0.042) as independent factors influencing HBsAg seroconversion. The area under the curve (AUC) of the proportion of dCD19 + B cells (the reciprocal of CD19 + B cells) for predicting HBsAg seroconversion was 0.716, the sensitivity was 0.636, and the specificity was 0.809. The AUC of IL-2 was 0.657, the sensitivity was 0.818, and the specificity was 0.404. The AUC of dIL-17 (the reciprocal of IL-17 levels) was 0.624, the sensitivity was 0.727, and the specificity was 0.489. The AUC of IL-2 and dIL-17 as a combined predictor was 0.830, the sensitivity was 0.909, and the specificity was 0.787. Conclusions:Peg-IFNα-2b demonstrates significant antiviral, biochemical, and serological responses in treatment-naive CHB patients, with enhanced efficacy in patients exhibiting HBsAg levels <200 IU/mL. In patients with HBsAg<200 IU/mL, the rate of HBsAg negativity reached 52.17%.Peg-IFNα-2b can regulate the immune function of patients with CHB by increasing the proportion of activated T lymphocyte subsets and functional subsets. The proportion of CD19 + B cells, IL-2 levels, and IL-17 levels hold predictive value for achieving HBsAg seroconversion.

Objective:To explore the value of fetal heart quantification technology in assessing the morphology and function of the fetal heart during normal pregnancy.Methods:This prospective cohort study selected normal fetuses from healthy pregnant women who underwent prenatal ultrasound examinations at Hunan Provincial People's Hospital from January 2023 to October 2024. Using the GE Voluson E10 color Doppler diasonography, routine obstetric ultrasound and fetal echocardiography were performed to assess fetal growth and development and to exclude intracardiac and extracardiac malformations. Clear four-chamber view (4CV) dynamic images of the heart showing the endocardium (duration ≥3 s) were collected. Speckle-tracking analysis was performed using fetal heart quantification software. The measured indicators included the global spherical index (GSI), end-diastolic length of the heart (L-ED), end-diastolic width of the heart (W-ED), and the global longitudinal strain (GLS), fractional area change (FAC), and 24-segment spherical index (SI) of the left ventricle (LV) and right ventricle (RV). The cases were divided into five groups based on gestational age at the time of prenatal ultrasound: 20 +0 to 23 +6, 24 +0 to 27 +6, 28 +0 to 31 +6, 32 +0 to 35 +6, and 36 +0 to 40 +6 weeks. One-way analysis of variance, two independent samples t-test, univariate linear regression analysis, and Pearson correlation analysis were used to explore the differences in the above indicators among different gestational age groups and their correlation with gestational age. Results:A total of 200 pregnant women were included in the cohort, four cases were excluded due to poor image quality that prevented accurate tracking and measurement of relevant indicators. Ultimately, 196 cases (20 +0 to 23 +6 weeks 40 cases, 24 +0 to 27 +6 weeks 34 cases, 28 +0 to 31 +6 weeks 41 cases, 32 +0 to 35 +6 weeks 48 cases, and 36 +0 to 40 +6 weeks 33 cases) were included in the study, with a successful image analysis rate of 98.0%. (1) There were statistically significant differences in 4CV L-ED, 4CV W-ED, LV-FAC, and RV-FAC among the groups at 20 +0 to 23 +6, 24 +0 to 27 +6, 28 +0 to 31 +6, 32 +0 to 35 +6, and 36 +0 to 40 +6 weeks [4CV L-ED: 28.0±3.0, 32.6±4.3, 40.9±4.3, 46.7±4.8, 53.1±5.8, F=3.72; 4CV W-ED: 21.9±1.8, 25.1±4.2, 31.7±3.0, 37.4±4.0, 42.0±4.9, F=2.61; LV-FAC: (51.4±8.0)%, (49.0±10.4)%, (47.3±7.3)%, (43.1±7.5)%, (40.7±8.2)%, F=2.94; RV-FAC: (49.9±10.8)%, (46.2±12.0)%, (46.3±8.3)%, (43.2±8.0)%, (41.9±5.6)%, F=3.09; all P<0.05].(2) The size of the normal fetal heart gradually increased with gestational age, while the heart morphology remained relatively stable (4CV L-ED and 4CV W-ED were positively correlated with gestational age, with regression coefficients of 1.313 and 1.325, respectively, both P<0.001;LV-FAC and RV-FAC were negatively correlated with gestational age with regression coefficients of -0.783 and -0.552, respectively, both P<0.001; GSI, LV-GLS and RV-GLS had no correlations with gestational age, all P>0.05). (3) The SI of LV segments 1 to 17 were higher than the SI of the corresponding RV segments, and the SI of RV segments 20-24 were higher than that of the corresponding LV segments (all P<0.001). Conclusion:Fetal heart quantification technology has a certain value in the assessment of fetal cardiac morphology and function.