BACKGROUND: The thoracic small biopsy sampling procedure including transbronchial forceps lung biopsy (TBLB) and endobronchial ultrasound transbronchial needle aspiration (EBUS-TBNA) can be accompanied by rapid on-site evaluation (ROSE) of sample material to provide immediate feedback for the proceduralist. The present study aims to investigate the supplemental effect of ROSE smear samples for lung cancer molecular test. METHODS: In a retrospective study, 308 patients admitted to our hospital from August 2020 to December 2022 undergoing diagnostic TBLB and EBUS-TBNA with ROSE and subsequently diagnosed as non-small cell lung cancer (NSCLC) were analyzed. The matched formalin-fixed paraffin-embedding (FFPE) tissue section and ROSE smears for tumor cellularity were compared. DNA yields of smears were determined. Real-time polymerase chain reaction (PCR) and next-generation sequencing (NGS) were performed on adequate smear samples. RESULTS: ROSE smear samples were enriched in tumor cells. Among 308 biopsy samples, 78 cases (25.3%) exhibited inadequate FFPE tissue sections, whereas 44 cases (14.3%) yielded adequate smear samples. Somatic mutations detected in the FFPE tissue section samples were also detected in the matching adequate smear sample. CONCLUSIONS ROSE smear samples of the thoracic small biopsies are beneficial supplemental materials for ancillary testing of lung cancer. Combined use of cytology smear samples with traditional FFPE section samples can enhance the detection rate of informative mutations in patients with advanced NSCLC. We recommend that the laboratory could further evaluate the ROSE cell smears of the patient when FFPE tissue sections are inadequate, and that adequate cell smears can be used as a supplemental source for the molecular testing of NSCLC.
Humans ; Carcinoma, Non-Small-Cell Lung/pathology* ; Lung Neoplasms/pathology* ; Rapid On-site Evaluation ; Retrospective Studies ; Molecular Diagnostic Techniques ; Endoscopic Ultrasound-Guided Fine Needle Aspiration/methods*

The purpose of this study was to analyze the value of transrectal shear-wave elastography (SWE) in combination with multivariable tools for predicting adverse pathological features before radical prostatectomy (RP). Preoperative clinicopathological variables, multiparametric magnetic resonance imaging (mp-MRI) manifestations, and the maximum elastic value of the prostate (Emax) on SWE were retrospectively collected. The accuracy of SWE for predicting adverse pathological features was evaluated based on postoperative pathology, and parameters with statistical significance were selected. The diagnostic performance of various models, including preoperative clinicopathological variables (model 1), preoperative clinicopathological variables + mp-MRI (model 2), and preoperative clinicopathological variables + mp-MRI + SWE (model 3), was evaluated with area under the receiver operator characteristic curve (AUC) analysis. Emax was significantly higher in prostate cancer with extracapsular extension (ECE) or seminal vesicle invasion (SVI) with both P < 0.001. The optimal cutoff Emax values for ECE and SVI were 60.45 kPa and 81.55 kPa, respectively. Inclusion of mp-MRI and SWE improved discrimination by clinical models for ECE (model 2 vs model 1, P = 0.031; model 3 vs model 1, P = 0.002; model 3 vs model 2, P = 0.018) and SVI (model 2 vs model 1, P = 0.147; model 3 vs model 1, P = 0.037; model 3 vs model 2, P = 0.134). SWE is valuable for identifying patients at high risk of adverse pathology.
Male ; Humans ; Prostate/pathology* ; Seminal Vesicles/diagnostic imaging* ; Elasticity Imaging Techniques ; Retrospective Studies ; Extranodal Extension/pathology* ; Neoplasm Staging ; Prostatectomy/methods* ; Prostatic Neoplasms/pathology* ; Magnetic Resonance Imaging/methods*

Humans ; Child ; Communicable Diseases/therapy* ; Molecular Diagnostic Techniques ; Genetic Testing

Glaucoma is one of blind causing diseases. The cup-to-disc ratio is the main basis for glaucoma screening. Therefore, it is of great significance to precisely segment the optic cup and disc. In this article, an optic cup and disc segmentation model based on the linear attention and dual attention is proposed. Firstly, the region of interest is located and cropped according to the characteristics of the optic disc. Secondly, linear attention residual network-34 (ResNet-34) is introduced as a feature extraction network. Finally, channel and spatial dual attention weights are generated by the linear attention output features, which are used to calibrate feature map in the decoder to obtain the optic cup and disc segmentation image. Experimental results show that the intersection over union of the optic disc and cup in Retinal Image Dataset for Optic Nerve Head Segmentation (DRISHTI-GS) dataset are 0.962 3 and 0.856 4, respectively, and the intersection over union of the optic disc and cup in retinal image database for optic nerve evaluation (RIM-ONE-V3) are 0.956 3 and 0.784 4, respectively. The proposed model is better than the comparison algorithm and has certain medical value in the early screening of glaucoma. In addition, this article uses knowledge distillation technology to generate two smaller models, which is beneficial to apply the models to embedded device.
Humans ; Optic Disk/diagnostic imaging* ; Glaucoma/diagnosis* ; Algorithms ; Diagnostic Techniques, Ophthalmological ; Databases, Factual

Objective: To assess the value of cyclin D1 immunocytochemistry combined with a small panel molecular analysis in indeterminate cytological diagnosis of Bethesda category Ⅲ-Ⅴ. Methods: A consecutive cohort of 96 thyroid FNA specimens with indeterminate diagnosis (TBSRTC category Ⅲ-Ⅴ) and available histopathologic follow-up data were collected between December 2018 and December 2021 in Department of Pathology, Beijing Hospital. The cases were evaluated by cyclin D1 immunocytochemistry and molecular testing of BRAF^V600E or a small panel of markers (BRAF, N-RAS, H-RAS, K-RAS and TERT) in the FNA specimens. The identification of the optimal cut-off point of cyclin D1 for the diagnosis of malignancy was evaluated using the receiver operating characteristic (ROC) curves and the assessment of the area under the ROC curve (AUC). The specificity, sensitivity, positive predictive value (PPV) and negative predictive value (NPV) of all these markers were evaluated with the crosstabs and significance was calculated. Results: Ninty-six patients with 96 thyroid nodules were enrolled, including 42 cases of TBSRTC-III, 10 cases of TBSRTC-IV and 44 cases of TBSRTC-V. There were 79 females and 17 males with a median age of 47 years (range, 25 to 75 years). A 7.5% cut-off value for positive cyclin D1 nuclear immunostaining in thyroid cells demonstrated 100% PPV, 57.1% NPV, 81.0% sensitivity and 100% specificity for thyroid malignancy diagnosis. The sensitivity of the BRAF^V600E mutation test or combined with a small panel test alone for thyroid malignancy diagnosis were 65.5% and 69.0% respectively. The sensitivity for thyroid malignancy diagnosis increased to 94.0% and 95.2% respectively when combining the cyclin D1 immunocytochemistry with the molecular test, and the specificities remained 100% and 91.7% respectively.The accuracy of cyclin D1 immunocytochemistry combined with a small panel of molecular test in detecting thyroid malignancy increased to 94.8% compared to using these markers alone. Conclusions: The addition of cyclin D1 immunocytochemistry and a small panel of molecular testing to FNA cytology can increase the sensitivity and NPV of cytology in indeterminate categories, and this supplementary approach provides a simple, accurate and convenient diagnostic method for reducing unnecessary thyroidectomies.
Adult ; Aged ; Humans ; Middle Aged ; Biopsy, Fine-Needle ; Cyclin D1/genetics* ; Molecular Diagnostic Techniques ; Thyroid Nodule/genetics* ; Male ; Female

Objective: To evaluate the efficacy, establish a diagnostic model, and value of ultrasound attenuation parameters (UAP) to diagnose hepatic steatosis in metabolic dysfunction-associated fatty liver disease (MAFLD) and its relevant disorders. Methods: 3770 cases were selected from the Health Examination Center of the Third Hospital of Hebei Medical University between October to December 2020. MAFLD diagnosis was based on the Asia-Pacific region MAFLD clinical diagnosis and treatment guidelines. The degree of hepatic steatosis was divided into mild, moderate and severe according to ultrasound imaging. UAP, clinical characteristic indexes, serum biochemical indexes, characteristics of hepatic steatosis and related factors were compared and analyzed in MAFLD patients and healthy controls. Logistic regression method was used to analyze the independent risk factors affecting the progression of hepatic steatosis in MAFLD to establish the diagnostic model. The clinical efficacy of UAP and the new model in diagnosing MAFLD was evaluated by the receiver operating characteristic curve (ROC). One-way ANOVA was used to compare means among multiple groups. Mann-Whitney U test was used to compare non-normally distributed measurement data between the two groups, and rank-sum test was used to compare multiple groups. χ² test was used to compare count data between groups. Results: Among the 3 770 cases, 650 were MAFLD, with a prevalence rate of 17.24%, and the highest prevalence was 37.23% in the age group of 60-69. The prevalence rate was significantly higher in male than female (30.34% vs. 9.17%). Age-sex analysis showed that the prevalence rate in males aged 30-69 years was 38.26%, and that in females aged over 60 years was 31.94%. UAP was significantly higher in patients with MAFLD than healthy controls (278.55 dB/m vs. 220.90 dB/m, Z=-12.592, P＜0.001), and an increasing trend with increased degree of hepatic steatosis (mild:257.20 dB/m, moderate:286.20 dB/m, and severe: 315.00 dB/m) were observed. The cut-off values of UAP for the diagnosis of mild, moderate and severe hepatic steatosis were 243≤UAP＜258 dB/m, 258≤UAP＜293 dB/m, ≥293 dB/m in MAFLD. The sensitivity and specificity were 67.20%, 93.60%, 95.90%, and 82.10%, 72.00%, and 84.80%, respectively. UAP, alanine aminotransferase and fasting blood glucose were independent risk factors for the progression of hepatic steatosis in MAFLD. The combined MAFLD classification model (UAG model) was established. The AUC of mild, moderate and severe hepatic steatosis in MAFLD were 0.906, 0.907, and 0.946, respectively, and the sensitivity and specificity were 76.50%, 82.10%, 98.00%, and 90.80%, 83.30% and 76.10%, respectively. Conclusion: MAFLD is a common disease in the general population, with a higher incidence in male and elderly female over 30 years of age. UAP can be used as a new noninvasive diagnostic technique to evaluate hepatic steatosis in MAFLD. The UAG model has a good diagnostic efficacy on MAFLD and its relevant disorders, and thus can be used as a guide for evaluating clinical diagnosis and prognosis.
Adult ; Aged ; Alanine Transaminase ; Elasticity Imaging Techniques ; Female ; Humans ; Liver/diagnostic imaging* ; Male ; Middle Aged ; Non-alcoholic Fatty Liver Disease/diagnostic imaging* ; ROC Curve ; Sensitivity and Specificity ; Ultrasonography/methods*

OBJECTIVE: To investigate the efficacy of vertical control by using conventional mini-implant anchorage in maxillary posterior buccal area for Angle class Ⅱ extraction patients. METHODS: Twenty-eight Angle class Ⅱ patients [9 males, 19 females, and age (22.6±2.8) years] were selected in this study. All of these patients were treated by using straight wire appliance with 4 premolars extraction and 2 mini-implant anchorage in maxillary posterior buccal area. In this study, the self-control method was used to measure and analyze the lateral radiographs taken before and after orthodontic treatment in each case, the main cephalometric analysis items were related to vertical changes. The digitized lateral radiographs were imported into Dolphin Imaging Software (version 11.5: Dolphin Imaging and Management Solutions, Chatsworth, California, USA), and marked points were traced. Each marked point was confirmed by two orthodontists. The same orthodontist performed measurement on the lateral radiographs over a period of time. All measurement items were required to be measured 3 times, and the average value was taken as the final measurement result. RESULTS: Analysis of the cephalometric radiographs showed that, for vertical measurements after treatment, the differences of the following measurements were highly statistically significant (P < 0.001): SN-MP decreased by (1.40±1.45) degrees on average, FMA decreased by (1.58±1.32) degrees on average, the back-to-front height ratio (S-Go/N-Me) decreased by 1.42%±1.43% on average, Y-axis angle decreased by (1.03±0.99) degrees on average, face angle increases by (1.37±1.05) degree on average; The following measurements were statistically significant (P < 0.05): the average depression of the upper molars was (0.68±1.40) mm, and the average depression of the upper anterior teeth was (1.07±1.55) mm. The outcomes indicated that there was a certain degree of upper molar depression after the treatment, which produced a certain degree of counterclockwise rotation of the mandibular plane, resulting in a positive effect on the improvement of the profile. CONCLUSION The conventional micro-implant anchorage in maxillary posterior buccal area has a certain vertical control ability, and can give rise to a certain counterclockwise rotation of the mandible, which would improve the profile of Angle Class Ⅱ patients.
Bicuspid ; Cephalometry/methods* ; Female ; Humans ; Male ; Malocclusion, Angle Class II/therapy* ; Mandible ; Maxilla/diagnostic imaging* ; Orthodontic Anchorage Procedures ; Tooth Movement Techniques ; Vertical Dimension

Bone Neoplasms/genetics* ; Consensus ; Humans ; Molecular Diagnostic Techniques ; Pathology, Molecular ; Soft Tissue Neoplasms/pathology*

Breast cancer has now become the leading cancer in women. The development of breast ultrasound artificial intelligence (AI) diagnostic technology is conducive to promoting the precise diagnosis and treatment of breast cancer and alleviating the heavy medical burden due to the unbalanced regional development in China. In recent years, on the basis of improving diagnostic efficiency, AI technology has been continuously combined with various clinical application scenarios, thereby providing more comprehensive and reliable evidence-based suggestions for clinical decision-making. Although AI diagnostic technologies based on conventional breast ultrasound gray-scale images and cutting-edge technologies such as three-dimensional (3D) imaging and elastography have been developed to some extent, there are still technical pain points, diffusion difficulties and ethical dilemmas in the development of AI diagnostic technologies for breast ultrasound.
Artificial Intelligence ; Breast/diagnostic imaging* ; Breast Neoplasms/diagnostic imaging* ; Elasticity Imaging Techniques/methods* ; Female ; Humans ; Ultrasonography, Mammary/methods*

OBJECTIVES: Ultrasound is a safe and timely diagnosis method commonly used for breast lesion, however it depends on the operator to a certain degree. As an emerging technology, artificial intelligence can be combined with ultrasound in depth to improve the intelligence and precision of ultrasound diagnosis and avoid diagnostic errors caused by subjectivity of radiologists. This paper aims to investigate the value of artificial intelligence S-detect system combined with virtual touch imaging quantification (VTIQ) technique in the differential diagnosis of benign and malignant breast masses by conventional ultrasound (CUS). respectively, and AUCs for them were 0.74, 0.86, 0.79, and 0.94, respectively. The diagnostic accuracy of CUS+S-detect was higher than that of CUS (P<0.05). The diagnostic accuracy of CUS+S-detect was higher than that of CUS (P<0.05). The diagnostic specificity of CUS+VTIQ was higher than that of CUS (P<0.05). The diagnostic accuracy and AUC of CUS+S-detect+VTIQ were higher than those of S-detect or VTIQ applied to CUS alone (P<0.05). The sensitivities of CUS for senior radiologists, CUS for junior radiologists, CUS+S-detect+VTIQ for senior radiologists, and CUS+S-detect+VTIQ for junior radiologists were 60.00%, 80.00%, 72.73%, and 90.00%, respectively, when diagnosing benign and malignant breast masses in 50 randomly selected cases. The specificities for them was 66.67%, 76.67%, 80.00%, and 81.25%, respectively. The accuracies for them was 64.00%, 78.00%, 80.00%, and 88.00%, respectively. The AUCs for them were 0.63, 0.78, 0.88, and 0.80, respectively. Compared with the CUS for junior radiologists, the CUS+S-detect+VTIQ for junior radiologists had higher sensitivity, specificity, and accuracy (all P<0.05). The consistency of the combined application of S-detect and VTIQ for diagnosing breast masses at 2 different times was good among junior radiologists (Kappa=0.800). METHODS: CUS, S-detects, and VTIQ were used to differentially diagnose benign and malignant breast masses in 108 cases, and the final pathological results were referred to as the gold standard for classifying breast masses. The diagnostic efficacy were evaluated and compared, among the 3 methods and among S-detect applied to CUS (CUS+S-detect), VTIQ applied to CUS (CUS+VTIQ), and S-detect combined with VTIQ applied to CUS (CUS+S-detect+VTIQ). Fifty cases were acquired randomly from the collected breast masses, and 2 radiologists with different years of experience (2 and 8 years) used S-detect combined with VTIQ for the ultrasonic differential diagnosis of benign and malignant breast masses. RESULTS: The differences in sensitivity, specificity, accuracy, and the area under the receiver operating characteristic curve (AUC) of the 3 diagnostic methods of CUS, S-detect, and VTIQ were not statistically significant (all P>0.05). The sensitivities of CUS, CUS+Sdetect, CUS+VTIQ, and CUS+S-detect+VTIQ were 78.57%, 92.86%, 69.05%, and 95.24%, respectively, the specificities for them were 69.70%, 78.79%, 87.88%, and 92.42%, respectively, the accuracies for them were 73.15%, 84.26%, 80.56%, and 93.52%. CONCLUSIONS S-detect combined with VTIQ when applied to CUS can overcome the shortcomings of separate applications and complement each other, especially for junior radiologists, and can more effectively improve the diagnostic efficacy of ultrasound for benign and malignant breast masses.
Artificial Intelligence ; Breast/diagnostic imaging* ; Diagnosis, Differential ; Elasticity Imaging Techniques/methods* ; Humans ; Ultrasonography/methods*