Objective:To explore the application value of transrectal ultrasound images classification network model of prostate cancer based on deep learning in the classification of benign and malignant prostate tissue in transrectal ultrasound images.Methods:A total of 1 462 two-dimensional images of transrectal prostate biopsy with clear pathologic results(including 658 images of malignant tumor, 804 images of benign tumor) from 203 patients with suspicious prostate cancer(including 89 cases of malignant tumor, 114 cases of benign tumor) were collected from May 2018 to May 2021 in the First Affiliated Hospital of Jinan University. They were divided into the training database, validation database, and test database. And the training and validation database were used to train and obtain the intelligence-assisted diagnosis network model, and then the test database was used to test the network model and two ultrasound doctors of different ages. With pathologic diagnosis as the gold standard, the diagnostic performance among them was evaluated.Results:①The sensitivity of network model was 66.7% the specificity was 91.9%, the accuracy was 80.5%, the precision(positive predictive value) was 87.1%. The area under the ROC curve was 0.922. ②The accuracy of the junior and senior ultrasound doctors was 57.5%, 62.0%; the specificity was 62.0%, 66.3%; the sensitivity was 51.5%, 56.8%; the precision was 53.1%, 58.1%, respectively. ③The accuracy, sensitivity, specificity, precision of classification: the network model > the ultrasound doctors, the differences were significant( P<0.05); the senior ultrasound doctor>the junior ultrasound doctor, the differences were not significant( P>0.05). Conclusions:The intelligence-assisted diagnosis network model based on deep learning can classify benign and malignant prostate tissue in transrectal ultrasound images, improve the accuracy of ultrasound doctors in diagnosing prostate cancer. It is of great significance to improve the efficiency of screening for patients with high clinical suspicion of prostate cancer.

OBJECTIVETo study the different proportions of intermediate epithelial cells in human prostate cancer tissue and their clinical significance.

METHODSWe performed immunohistochemical staining for Cytokeratin 5 (CK5) and Cytokeratin 8 (CK8) on 60 samples of human prostate cancer, determined the proportions of intermediate epithelial cells in the cancer tissue, and classified the samples into 2 types, one with a majority of intermediate epithelial cells (CaP-INT, n = 32), and the other composed mostly of luminal epithelial cells (CaP-LUM, n = 28). Then we compared the 2 types of prostate cancer in the expression of the androgen receptor (AR), age of the patient, serum t-PSA, prostate volume, Gleason score, clinical stage, androgen resistance, and incidence of distant metastasis.

RESULTSCaP-INT showed a significantly lower expression of AR ([24.42 +/- 11.41] %) and a higher incidence of distant metastasis (n = 14) than CaP-LUM ([77.21 +/- 10.22] % and n = 4) (P < 0.05). In the CaP-INT group, 6 of the 26 endocrinologically treated cases developed into androgen-independent prostate cancer (AIPC), while in the CaP-LUM group, only 1 out of 23 (P < 0.05). The former also showed remarkably higher clinical stages than the latter (P < 0.05), but no significant differences were found in age, serum t-PSA, prostate volume and Gleason score between the two groups (P > 0.05).

CONCLUSIONA higher proportion of intermediate epithelial cells may lead to increased invasiveness and metastasis of human prostate cancer.

Aged ; Aged, 80 and over ; Cell Count ; Cell Differentiation ; Epithelial Cells ; classification ; pathology ; Humans ; Male ; Middle Aged ; Prostate ; pathology ; Prostatic Neoplasms ; pathology ; Receptors, Androgen ; metabolism

Adolescent ; Antipyretics ; therapeutic use ; Child ; Child, Preschool ; Drugs, Chinese Herbal ; therapeutic use ; Female ; Hand, Foot and Mouth Disease ; drug therapy ; Humans ; Infant ; Injections ; Male

BACKGROUNDAuditory verbal hallucinations (AVHs) of schizophrenia have been associated with structural and functional alterations of some brain regions. However, the brain regional homogeneity (ReHo) alterations specific to AVHs of schizophrenia remain unclear. In the current study, we aimed to investigate ReHo alterations specific to schizophrenic AVHs.

METHODSThirty-five schizophrenic patients with AVH, 41 schizophrenic patients without AVHs, and fifty healthy subjects underwent resting-state functional magnetic resonance imaging. ReHo differences across the three groups were tested using a voxel-wise analysis.

RESULTSCompared with the healthy control group, the two schizophrenia groups showed significantly increased ReHo in the right caudate and inferior temporal gyrus and decreased ReHo in the bilateral postcentral gyrus and thalamus and the right inferior occipital gyrus (false discovery rate corrected, P < 0.05). More importantly, the AVH group exhibited significantly increased ReHo in the left precuneus compared with the non-AVH group. However, using correlation analysis, we did not find any correlation between the auditory hallucination rating scale score and the ReHo of brain regions.

CONCLUSIONSOur results suggest that increased ReHo in the left precuneus may be a pathological feature exclusive to schizophrenic AVHs.

Adult ; Female ; Hallucinations ; pathology ; physiopathology ; Humans ; Magnetic Resonance Imaging ; Male ; Parietal Lobe ; physiopathology ; Schizophrenia ; pathology ; physiopathology

BACKGROUNDThis study aimed to observe the differences in brain gray matter volume in drug-naive female patients after the first episode of major depression with and without stressful life events (SLEs) before the onset of depression.

METHODSForty-three drug-naive female patients voluntarily participated in the present study after the first major depressive episode. The life event scale was used to evaluate the severity of the impact of SLEs during 6 months before the onset of the major depressive episode. High-field magnetic resonance imaging (MRI) scans were obtained, and the VBM and SPM8 software process were used to process and analyze the MRI.

RESULTSCompared to that in patients without SLEs, the volume of brain gray matter was lower in the bilateral temporal lobe, right occipital lobe, and right limbic lobe in the SLE group. However, the gray matter volume did not differ significantly between the two groups after the application of false discovery rate (FDR) correction.

CONCLUSIONSAlthough the results of the present study suggest the absence of significant differences in brain gray matter volume between female drug-naive patients after the first episode of major depression with and without SLEs after FDR correction, the study provides useful information for exploring the definitive role of stress in the onset of depression.

Adolescent ; Adult ; Depression ; physiopathology ; Female ; Gray Matter ; anatomy & histology ; Humans ; Magnetic Resonance Imaging ; Middle Aged ; Software ; Stress, Physiological ; physiology ; Young Adult

Brain ; physiopathology ; Humans ; Schizophrenia ; physiopathology

BACKGROUNDPrevious studies have demonstrated interhemispheric functional connectivity alterations in schizophrenia. However, the relationship between these alterations and the disease state of schizophrenia is largely unknown. Therefore, we aimed to investigate this relationship using voxel-mirrored homotopic connectivity (VMHC) method.

METHODSThis study enrolled 36 schizophrenia patients with complete remission, 58 schizophrenia patients with incomplete remission and 55 healthy controls. The VMHC was calculated based on resting-state functional magnetic resonance imaging data. Differences in VMHC among three groups were compared using one-way analysis of variance. A brain region with a significant difference in VMHC was defined as a region of interest (ROI), and the mean VMHC value in the ROI was extracted for the post hoc analysis, i.e., pair-wise comparisons across the three groups.

RESULTSVMHC in the visual region (inferior occipital and fusiform gyri) and the sensorimotor region (paracentral lobule) showed significant differences among the three groups (P < 0.05, a false discovery rate method corrected). Pair-wise comparisons in the post hoc analysis showed that VMHC of the visual and sensorimotor regions in schizophrenia patients with complete remission and incomplete remission was lower than that in healthy controls (P < 0.05, Bonferroni corrected); however, there was no significant difference between the two patient subgroups.

CONCLUSIONSInterhemispheric functional connectivity in the sensorimotor and visual processing pathways was reduced in patients with schizophrenia, but this reduction was unrelated to the disease state; thus, this reduction may serve as a trait marker of schizophrenia.

Adult ; Brain ; physiology ; Brain Mapping ; Female ; Humans ; Image Processing, Computer-Assisted ; Magnetic Resonance Imaging ; Male ; Schizophrenia ; physiopathology ; Sensorimotor Cortex ; physiology ; Visual Pathways ; physiology

BACKGROUNDElectroconvulsive therapy (ECT) can alleviate the symptoms of treatment-resistant depression (TRD). Functional network connectivity (FNC) is a newly developed method to investigate the brain's functional connectivity patterns. The first aim of this study was to investigate FNC alterations between TRD patients and healthy controls. The second aim was to explore the relationship between the ECT treatment response and pre-ECT treatment FNC alterations in individual TRD patients.

METHODSThis study included 82 TRD patients and 41 controls. Patients were screened at baseline and after 2 weeks of treatment with a combination of ECT and antidepressants. Group information guided-independent component analysis (GIG-ICA) was used to compute subject-specific functional networks (FNs). Grassmann manifold and step-wise forward component selection using support vector machines were adopted to perform the FNC measure and extract the functional networks' connectivity patterns (FCP). Pearson's correlation analysis was used to calculate the correlations between the FCP and ECT response.

RESULTSA total of 82 TRD patients in the ECT group were successfully treated. On an average, 8.50 ± 2.00 ECT sessions were conducted. After ECT treatment, only 42 TRD patients had an improved response to ECT (the Hamilton scores reduction rate was more than 50%), response rate 51%. 8 FNs (anterior and posterior default mode network, bilateral frontoparietal network, audio network, visual network, dorsal attention network, and sensorimotor network) were obtained using GIG-ICA. We did not found that FCPs were significantly different between TRD patients and healthy controls. Moreover, the baseline FCP was unrelated to the ECT treatment response.

CONCLUSIONSThe FNC was not significantly different between the TRD patients and healthy controls, and the baseline FCP was unrelated to the ECT treatment response. These findings will necessitate that we modify the experimental scheme to explore the mechanisms underlying ECT's effects on depression and explore the specific predictors of the effects of ECT based on the pre-ECT treatment magnetic resonance imaging.

Adult ; Brain ; pathology ; physiopathology ; Depression ; physiopathology ; therapy ; Depressive Disorder, Treatment-Resistant ; physiopathology ; therapy ; Electroconvulsive Therapy ; methods ; Female ; Humans ; Magnetic Resonance Imaging ; Male ; Middle Aged

Brain ; pathology ; Electroconvulsive Therapy ; adverse effects ; Humans ; Schizophrenia ; therapy

Acoustic Stimulation ; Brain Mapping ; Hallucinations ; Humans