Diagnosis Of Malignant Tumors Research Articles

Brain magnetic resonance image (MRI) segmentation using multimodal optimization

AbstractOne of the highly focused areas in the medical science community is segmenting tumors from brain magnetic resonance imaging (MRI). The diagnosis of malignant tumors at an early stage is necessary to provide treatment for patients. The patient’s prognosis will improve if it is detected early. Medical experts use a manual method of segmentation when making a diagnosis of brain tumors. This study proposes a new approach to simplify and automate this process. In recent research, multi-level segmentation has been widely used in medical image analysis, and the effectiveness and precision of the segmentation method are directly tied to the number of segments used. However, choosing the appropriate number of segments is often left up to the user and is challenging for many segmentation algorithms. The proposed method is a modified version of the 3D Histogram-based segmentation method, which can automatically determine an appropriate number of segments. The general algorithm contains three main steps: The first step is to use a Gaussian filter to smooth the 3D RGB histogram of an image. This eliminates unreliable and non-dominating histogram peaks that are too close together. Next, a multimodal particle swarm optimization method identifies the histogram’s peaks. In the end, pixels are placed in the cluster that best fits their characteristics based on the non-Euclidean distance. The proposed algorithm has been applied to a Cancer Imaging Archive (TCIA) and brain MRI Images for brain Tumor detection dataset. The results of the proposed method are compared with those of three clustering methods: FCM, FCM_FWCW, and FCM_FW. In the comparative analysis of the three algorithms across various MRI slices. Our algorithm consistently demonstrates superior performance. It achieves the top mean rank in all three metrics, indicating its robustness and effectiveness in clustering. The proposed method is effective in experiments, proving its capacity to find the proper clusters.

Deciphering the tumour microenvironment of clear cell renal cell carcinoma: Prognostic insights from programmed death genes using machine learning.

Clear cell renal cell carcinoma (ccRCC), a prevalent kidney cancer form characterised by its invasiveness and heterogeneity, presents challenges in late-stage prognosis and treatment outcomes. Programmed cell death mechanisms, crucial in eliminating cancer cells, offer substantial insights into malignant tumour diagnosis, treatment and prognosis. This study aims to provide a model based on 15 types of Programmed Cell Death-Related Genes (PCDRGs) for evaluating immune microenvironment and prognosis in ccRCC patients. ccRCC patients from the TCGA and arrayexpress cohorts were grouped based on PCDRGs. A combination model using Lasso and SuperPC was constructed to identify prognostic gene features. The arrayexpress cohort validated the model, confirming its robustness. Immune microenvironment analysis, facilitated by PCDRGs, employed various methods, including CIBERSORT. Drug sensitivity analysis guided clinical treatment decisions. Single-cell data enabled Programmed Cell Death-Related scoring, subsequent pseudo-temporal and cell-cell communication analyses. A PCDRGs signature was established using TCGA-KIRC data. External validation in the arrayexpress cohort underscored the model's superiority over traditional clinical features. Furthermore, our single-cell analysis unveiled the roles of PCDRG-based single-cell subgroups in ccRCC, both in pseudo-temporal progression and intercellular communication. Finally, we performed CCK-8 assay and other experiments to investigate csf2. In conclusion, these findings reveal that csf2 inhibit the growth, infiltration and movement of cells associated with renal clear cell carcinoma. This study introduces a PCDRGs prognostic model benefiting ccRCC patients while shedding light on the pivotal role of programmed cell death genes in shaping the immune microenvironment of ccRCC patients.

Clinical application of serum CST4 combined with tumor markers in the diagnosis of digestive system malignant tumors.

The aim of the present study was to evaluate the diagnostic value of plasma human cystatin-S (CST4) in patients with digestive system malignant tumors. CST4 and tumor markers, such as α-fetoprotein (AFP), carcinoembryonic antigen (CEA), carbohydrate antigen (CA)199, CA125, CA153 and CA724, were detected in blood samples from 100 patients with a digestive system malignant tumor and 100 patients with benign digestive system diseases. The tumor markers AFP, CEA, CA199, CA125, CA153 and CA724 were detected using an electrochemiluminescence immunoassay, and CST4 levels were detected using a human CST4 ELISA kit. The results demonstrated that the sensitivities of AFP and CA153 (both 5.00%) were significantly lower than that of CST4 (38.00%) in the diagnosis of digestive system malignancy (P<0.001), and CA724 (18.00%) was also less sensitive than CST4 (P<0.05). The sensitivities of CA199 (26.00%), CEA (31.00%) and CA125 (25.00%) were similar to that of CST4 (P>0.05). There was no significant difference in the CEA, CA125, CA724 and CST4 specificities (P>0.05), which were 91.00, 95.00, 94.00 and 83.00%, respectively. The specificities of AFP (99.00%), CA199 (98.00%) and CA153 (100.00%) were significantly higher than that of CST4 (P<0.01). By constructing a receiver operating characteristic curve and comparing the area under the curve as well as sensitivity, the findings of the present study demonstrated that combining CST4 with AFP, CEA, CA199, CA125, CA153 and CA724 can significantly enhance the diagnostic sensitivity for malignancies of the digestive system. However, the introduction of CST4 into the traditional diagnostic groups (CEA + AFP, CA199 + CA125 + CA153 + CA724 and AFP + CEA + CA199 + CA125 + CA153 + CA724) resulted in an increased sensitivity and loss of specificity, thereby not offering significant advantages in terms of comprehensive diagnostic efficiency compared with the traditional diagnostic groups. In conclusion, CST4 detection may be a promising diagnostic tool. Nonetheless, the potential false positive results in tumor diagnosis should be taken into consideration when developing new diagnostic groups involving CST4.

Synthesis and Characterization of a Novel PET Tracer for Noninvasive Evaluation of FGL1 Status in Tumors.

Fibrinogen-like protein 1 (FGL1) is a potential novel immune checkpoint target for malignant tumor diagnosis and therapy. Accurate detection of FGL1 levels in tumors via noninvasive PET imaging might be beneficial for managing the disease. To achieve this, multiple FGL1-targeting peptides (FGLP) were designed, and a promising candidate, 68Ga-NOTA-FGLP2, was identified through a high-throughput screening approach using microPET imaging of 68Ga-labeled peptides. Subsequent in vitro cell experiments showed that uptake values of 68Ga-NOTA-FGLP2 in FGL1 positive Huh7 tumor cells were significantly higher than those in FGL1 negative U87 MG tumor cells. Further microPET imaging showed that the Huh7 xenografts were clearly visualized with a favorable contrast. ROI analysis showed that the uptake values of the tracer in Huh7 xenografts were 2.63 ± 0.07% ID/g at 30 min p.i.. After treatment with an excess of unlabeled FGLP2, the tumor uptake significantly decreased to 0.54 ± 0.05% ID/g at 30 min p.i.. Moreover, the uptake in U87 MG xenografts was 0.44 ± 0.06% ID/g at the same time point. The tracer was excreted mainly through the renal system. 18F-FDG PET imaging was also performed in mice bearing Huh7 and U87 MG xenografts, respectively. However, there was no significant difference in the uptake between the tumors with different FGL1 expressions. Preclinical data indicated that 68Ga-NOTA-FGLP2 might be a suitable radiotracer for in vivo noninvasive visualization of tumors with abundant expression of FGL1. Further investigation of 68Ga-NOTA-FGLP2 for tumor diagnosis and therapy is undergoing.

Deep learning driven diagnosis of malignant soft tissue tumors based on dual-modal ultrasound images and clinical indexes

BackgroundSoft tissue tumors (STTs) are benign or malignant superficial neoplasms arising from soft tissues throughout the body with versatile pathological types. Although Ultrasonography (US) is one of the most common imaging tools to diagnose malignant STTs, it still has several drawbacks in STT diagnosis that need improving.ObjectivesThe study aims to establish this deep learning (DL) driven Artificial intelligence (AI) system for predicting malignant STTs based on US images and clinical indexes of the patients.MethodsWe retrospectively enrolled 271 malignant and 462 benign masses to build the AI system using 5-fold validation. A prospective dataset of 44 malignant masses and 101 benign masses was used to validate the accuracy of system. A multi-data fusion convolutional neural network, named ultrasound clinical soft tissue tumor net (UC-STTNet), was developed to combine gray scale and color Doppler US images and clinic features for malignant STTs diagnosis. Six radiologists (R1-R6) with three experience levels were invited for reader study.ResultsThe AI system achieved an area under receiver operating curve (AUC) value of 0.89 in the retrospective dataset. The diagnostic performance of the AI system was higher than that of one of the senior radiologists (AUC of AI vs R2: 0.89 vs. 0.84, p=0.022) and all of the intermediate and junior radiologists (AUC of AI vs R3, R4, R5, R6: 0.89 vs 0.75, 0.81, 0.80, 0.63; p &amp;lt;0.01). The AI system also achieved an AUC of 0.85 in the prospective dataset. With the assistance of the system, the diagnostic performances and inter-observer agreement of the radiologists was improved (AUC of R3, R5, R6: 0.75 to 0.83, 0.80 to 0.85, 0.63 to 0.69; p&amp;lt;0.01).ConclusionThe AI system could be a useful tool in diagnosing malignant STTs, and could also help radiologists improve diagnostic performance.

Level of competence of rural physicians in primary health care in the diagnosis of malignant neoplasms of main localizations

Objective. To analize the level of rural PHC doctors` competence on the issues of diagnosis and routing patients with suspected cancer. Materials and methods. The study was conducted using a survey of medical workers involved in the diagnosis of malignant neoplasms of four main localizations (specialist doctors and paramedics of examination rooms) of the Central District Hospital of five rural municipal districts of the Magnitogorsk oncological cluster of Chelyabinsk region. 35 physicians took part in the study. Results. The results of the survey were quite negative: the minority of respondents are aware of the exact duration of the mandatory initial diagnostic examination, the period of informing the oncologist about the patient diagnosed with cancer, and the scheme for assigning municipal medical organizations to outpatient oncology centers. Conclusions. The surveyed contingent is characterized by: low oncological alertness and unsatisfactory competence concerning the initial manifestations of malignancies; inclusion of symptoms of the formed cancer in the number of early manifestations of malignancies, which means that a doctor, unsure of the diagnosis, as if waiting for the appearance of an obvious, from his point of view, symptom of a tumor, and as a result, the patient has an advanced stage of cancer; 3) flawed ideas about the full list of necessary methods for diagnosing malignant neoplasms of leading localizations; unsatisfactory knowledge of regulatory documentation on the routing of patients with suspected cancer.

Risk of Mortality Associated with Potentially Inappropriate Medication Use Including Opioids in Older Adults.

As the population ages, understanding the potential risks associated with inappropriate medication use becomes increasingly important. Given the lack of studies in this area, our objective was to study the risk of mortality associated with potentially inappropriate medication use involving opioids in community-dwelling older adults. Data came from a longitudinal study on older adults aged ≥ 65 years recruited in primary care clinics between 2011 and 2013 with an average follow-up of 4.25 years. Older adults were excluded if they used an opioid or had a malignant tumor diagnosis in the year before the study survey. A nested case-control within a cohort of older adults with at least one opioid claim during follow-up was used to evaluate the risk of all-cause mortality. Four controls per case were matched on follow-up time using risk-set sampling, i.e., while still at risk of death when their matched case died. The risk of mortality was estimated using conditional logistic regression analyses. Exposure to potentially inappropriate medication use involving opioids, defined using the Beers 2019 criteria, was assessed from provincial drug claims data in the 0-90 days before death. In a cohort of 472 community-dwelling older adults with an incident episode of opioid use, there were 40 casesmatched to 160 controls. Exposure to inappropriate medication use involving opioids in the 90 days before death was associated with an increased risk of mortality (odds ratio 6.81, 95% confidence interval 1.69-27.47),after adjusting for potential confounders. Exposure to inappropriate medication use involving opioids in the 90 days before death is associated with an increased risk of mortality in older adults. These findings can be used to encourage safer pain management strategies in older adults.

IL21R hypomethylation as a biomarker for distinguishing benign and malignant breast tumours

ABSTRACT Some benign and malignant breast tumours are similar in pathological morphology, which are difficult to be distinguished in clinical diagnosis. In this study, we intended to explore novel biomarkers for differential diagnosis of benign and malignant breast tumours. Methylation EPIC 850K beadchip and RNA-sequencing were used to analyse 29 tissue samples from patients with early-stage breast cancer (BC) and benign breast tumours for differently methylated and expressed genes. The altered methylation of IL21R was semi-quantitatively validated in an independent study with 566 tissue samples (279 BC vs. 287 benign breast tumours) using mass spectrometry. Binary logistic regression analysis was performed to evaluate the association between IL21R methylation and BC. BC-associated IL21R hypomethylation and overexpression were identified in the discovery round. In the validation round, BC patients presented significant IL21R hypomethylation compared to women with benign breast tumours (ORs ≥1.29 per-10% methylation, p-values ≤ 5.69E–14), and this hypomethylation was even enhanced in BC patients with ER-negative and PR-negative tumours as well as with triple-negative tumours. The methylation of IL21R showed efficient discriminatory power to distinguish benign breast tumours from BC (area under curve (AUC) = 0.88), and especially from ER-negative BC (AUC = 0.95), PR-negative BC (AUC = 0.93) and triple-negative BC (AUC = 0.96). We disclosed significant IL21R hypomethylation in patients with BC compared to women with benign breast tumours, and revealed the somatic change of DNA methylation could be a potential biomarker for molecular pathology of BC.

Методика расчета эффективности профилактических осмотров и диспансеризации определённых групп взрослого населения при выявлении злокачественных новообразований.

One of the objectives of the Federal Project «Fighting Cancer» is to achieve «The proportion of malignant neoplasms detected at early stages, Percentage.» One method to achieve the set goals is to improve the efficiency of preventive medical examinations and screenings of certain adult population groups. The study aims to provide a methodological rationale for calculating the efficiency indicators of preventive medical examinations and screenings of certain adult population groups in terms of detecting malignant neoplasms. Materials and methods. For conducting the study, we used normative legal documents regulating the procedures for conducting preventive medical examinations and screenings of certain adult population groups, as well as industry-specific statistical report forms № 131/o «Information on conducting preventive medical examinations and screenings of certain adult population groups» from 11 subjects of the Northwestern Federal District for the period 2017–2022. Results. According to the analysis of the indicator «The share of residents of the Russian Federation subjects undergoing PME (Preventive Medical Examination) and SCS (Screening for Certain Groups) compared to the number of residents fitting the criteria for PME and SCS», this indicator has practically not changed over the period from 2017 to 2022, being 0,41 in 2017 and 0,42 in 2022. The coverage by preventive examinations and screenings of certain population groups in the Russian Federation subject in the Northwestern Federal District from 2017 to 2022 decreased from 0,92 to 0,75 of what was due. When calculating the actual coverage by preventive examinations and screenings of certain adult population groups in the Northwestern Federal District, the indicator slightly decreased from 0,37 in 2017 to 0,32 in 2022. The «overall» contribution of preventive medical examinations and screenings of certain adult population groups in the Northwestern Federal District slightly increased from 0,11% in 2017 to 0,14% in 2022. When analysing the «crude» index of the contribution of PME and SCS in detecting malignant neoplasms from 2017 to 2022, an increase from 3,34% to 7,6% is noted. The standardised contribution of preventive examinations and screenings of certain adult population groups to the diagnosis of breast cancer malignant neoplasms increased from 3,7% in 2017 to 8,5%, and the diagnosis of malignant neoplasms of colon, rectum, and anal canal (C18-C20) for the same period increased from 4% to 7,9%. Conclusion. Regardless of which indicator is used to calculate the efficiency of conducted preventive measures, manual data entry and the formation of statistical forms 131/o must be stopped. Manual data entry can lead to data distortion and introduce significant fluctuations in indicators when comparing the same indicator among different subjects of the Russian Federation.

Effect of contrast agent on T2-weighted fat-suppressed imaging and diffusion-weighted imaging in the diagnosis of breast tumors.

Although previous studies have shown that the injection of contrast agents can improve image quality, the specific impact of this on T2-weighted fat-suppressed (T2 FS) and diffusion-weighted imaging (DWI) sequences in the diagnosis of breast cancer remains incompletely understood. In particular, there is insufficient research on how contrast agents affect the signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and apparent diffusion coefficient (ADC) values within these sequences, and how these changes influence the diagnosis of benign and malignant breast tumors. Breast magnetic resonance images (MRI) were obtained from 178 consecutive patients on a 3T scanner. The SNR and CNR of lesions on T2 FS sequence were calculated before and after contrast agent injection and compared. Differences between pre- and post-contrast ADC in identifying different tumor types were compared using the Kruskal-Wallis H-test and the paired comparison test. The accuracy of ADC values between pre- and post-contrast in distinguishing benign and malignant breast masses was assessed using receiver operating characteristic (ROC) curves. The SNR and CNR of T2 FS sequence increased after contrast injection, and especially for invasive cancer and benign tumor, the increase was significant. For DWI, there was a slight increase or decrease of ADC values after contrast injection, but the ADC values before and after contrast had a similar effect in identifying different types of tumors. In the ROC curve analysis for assessing benign and malignant breast tumors, the area under the curve (AUC) before and after contrast showed similar results. Contrast agent injection can improve the SNR and CNR of T2 FS sequence, thus providing higher quality images for the diagnosis of breast lesions. Furthermore, injection of contrast agent had little effect on the ability of ADC values to identify different types of lesions and both ADC values before and after the contrast agent were able to distinguish between benign and malignant tumors with almost the same accuracy.

Frequency of exhausted and senescent CD4+ T cells in peripheral blood, specific to antigen-associated tumors (TPI1, PRDX2, A1AT, AHSG AND PPIA) and its impact and its association with the diagnosis of benign and malignant ovarian tumors

Frequency of exhausted and senescent CD4+ T cells in peripheral blood, specific to antigen-associated tumors (TPI1, PRDX2, A1AT, AHSG AND PPIA) and its impact and its association with the diagnosis of benign and malignant ovarian tumors

Тактика врача первичного звена при выявлении очаговых образований в легочной ткани

In order to provide timely and quality medical care to the population within the framework of improving the material base of medical organizations, many treatment and preventive care institutions have been equipped with modern X-ray equipment in the last three years. A large number of patients have been subjected to computed tomography of the chest organs, which has made it possible to detect asymptomatic pulmonary masses in a number of individuals. Taking into account the necessity of timely differential diagnostics of such masses and, first of all, in order to exclude malignant pulmonary neoplasms, the question arises what tactics should be followed by a primary care physician in case of detection of pulmonary neoplasms in a patient for the first time. The article presents a Clinical case demonstrating the detection of pulmonary neoplasm, which required active tactics of patient management, and presents tools, the use of which gives the doctor confidence in his actions for early diagnosis of malignant neoplasms.

Тактика врача первичного звена при выявлении очаговых образований в легочной ткани

In order to provide timely and quality medical care to the population within the framework of improving the material base of medical organizations, many treatment and preventive care institutions have been equipped with modern X-ray equipment in the last three years. A large number of patients have been subjected to computed tomography of the chest organs, which has made it possible to detect asymptomatic pulmonary masses in a number of individuals. Taking into account the necessity of timely differential diagnostics of such masses and, first of all, in order to exclude malignant pulmonary neoplasms, the question arises what tactics should be followed by a primary care physician in case of detection of pulmonary neoplasms in a patient for the first time. The article presents a Clinical case demonstrating the detection of pulmonary neoplasm, which required active tactics of patient management, and presents tools, the use of which gives the doctor confidence in his actions for early diagnosis of malignant neoplasms.

Breast cancer lesion segmentation based on co-learning feature fusion and Transformer

The PET/CT imaging technology combining positron emission tomography (PET) and computed tomography (CT) is the most advanced imaging examination method currently, and is mainly used for tumor screening, differential diagnosis of benign and malignant tumors, staging and grading. This paper proposes a method for breast cancer lesion segmentation based on PET/CT bimodal images, and designs a dual-path U-Net framework, which mainly includes three modules: encoder module, feature fusion module and decoder module. Among them, the encoder module uses traditional convolution for feature extraction of single mode image; The feature fusion module adopts collaborative learning feature fusion technology and uses Transformer to extract the global features of the fusion image; The decoder module mainly uses multi-layer perceptron to achieve lesion segmentation. This experiment uses actual clinical PET/CT data to evaluate the effectiveness of the algorithm. The experimental results show that the accuracy, recall and accuracy of breast cancer lesion segmentation are 95.67%, 97.58% and 96.16%, respectively, which are better than the baseline algorithm. Therefore, it proves the rationality of the single and bimodal feature extraction method combining convolution and Transformer in the experimental design of this article, and provides reference for feature extraction methods for tasks such as multimodal medical image segmentation or classification.

Deep learning-assisted diagnosis of benign and malignant parotid tumors based on ultrasound: a retrospective study

BackgroundTo develop a deep learning(DL) model utilizing ultrasound images, and evaluate its efficacy in distinguishing between benign and malignant parotid tumors (PTs), as well as its practicality in assisting clinicians with accurate diagnosis.MethodsA total of 2211 ultrasound images of 980 pathologically confirmed PTs (Training set: n = 721; Validation set: n = 82; Internal-test set: n = 89; External-test set: n = 88) from 907 patients were retrospectively included in this study. The optimal model was selected and the diagnostic performance evaluation is conducted by utilizing the area under curve (AUC) of the receiver-operating characteristic(ROC) based on five different DL networks constructed at varying depths. Furthermore, a comparison of different seniority radiologists was made in the presence of the optimal auxiliary diagnosis model. Additionally, the diagnostic confusion matrix of the optimal model was calculated, and an analysis and summary of misjudged cases’ characteristics were conducted.ResultsThe Resnet18 demonstrated superior diagnostic performance, with an AUC value of 0.947, accuracy of 88.5%, sensitivity of 78.2%, and specificity of 92.7% in internal-test set, and with an AUC value of 0.925, accuracy of 89.8%, sensitivity of 83.3%, and specificity of 90.6% in external-test set. The PTs were subjectively assessed twice by six radiologists, both with and without the assisted of the model. With the assisted of the model, both junior and senior radiologists demonstrated enhanced diagnostic performance. In the internal-test set, there was an increase in AUC values by 0.062 and 0.082 for junior radiologists respectively, while senior radiologists experienced an improvement of 0.066 and 0.106 in their respective AUC values.ConclusionsThe DL model based on ultrasound images demonstrates exceptional capability in distinguishing between benign and malignant PTs, thereby assisting radiologists of varying expertise levels to achieve heightened diagnostic performance, and serve as a noninvasive imaging adjunct diagnostic method for clinical purposes.

Prevalence and Incidence of Fractures in Patients With Nonfunctional Adrenal Tumors

It is unclear whether nonfunctional adrenal tumors (NFATs) are associated with fractures. To analyze fracture frequencies in individuals with NFATs. A national retrospective cohort study was conducted in patients with NFATs diagnosed in Sweden between January 1, 2005, and December 31, 2019, and control participants without adrenal tumors followed up until death or the end of 2019. Individuals with a diagnosis of adrenal hormonal excess or previous malignant tumors were excluded. Sensitivity analyses were performed in subgroups of individuals with a combination of gallbladder, biliary tract, and pancreas diseases (for whom it was assumed that controls would also have undergone computed tomography) and 3- and 12-month survival free of malignant tumors after the NFAT diagnosis. The data were analyzed from September to November 2023. Diagnosis of NFATs. Main study outcomes were prevalence and incidence of fractures after adjustment for sex, age, and comorbidities. Secondary outcomes were fragility fractures, fractures with fall on the same level, and fracture locations (distal arm and vertebral and hip fractures). Fracture incidence after adrenalectomy was also studied. Among 20 390 patients, 12 120 (59.4%) were women, and the median (IQR) age was 66 (57-73) years; among 125 392 controls, 69 994 (55.8%) were women, and the median (IQR) age was 66 (57-73) years. Previous fractures were more common in patients diagnosed with NFATs compared with controls (4310 of 20 390 [21.1%] vs 20 323 of 125 392 [16.2%]; odds ratio [OR], 1.39; 95% CI, 1.34-1.45; adjusted OR [AOR], 1.27; 95% CI, 1.23-1.33). During the follow-up period (median [IQR], 4.9 [2.2-8.2] years), incident fractures were more common in patients with NFATs (3127 of 20 390 [15.3%] vs 16 086 of 125 392 [12.8%]; hazard ratio [HR], 1.40; 95% CI, 1.34-1.45; adjusted HR [AHR], 1.27; 95% CI, 1.22-1.33). An association between NFATs and vertebral fractures was found (AOR, 1.51; 95% CI, 1.33-1.72; AHR, 1.83; 95% CI, 1.60-2.09). In men younger than 50 years, NFATs were associated with fractures (AOR, 1.45; 95% CI, 1.21-1.74; AHR, 1.48; 95% CI, 1.20-1.82). There was no association among individuals who had undergone adrenalectomy (AHR, 1.12; 95% CI, 0.90-1.38). The association between NFATs and fractures remained significant and of similar magnitude in all sensitivity analyses. In this cohort study, NFATs were associated with fractures, particularly among younger men; thus, patients with NFATs should have bone health evaluation with appropriate treatment and monitoring, especially in younger men.

Clinical diagnostic value of contrast-enhanced ultrasound combined with microflow imaging in benign and malignant renal tumors: A retrospective cohort study.

This study aims to evaluate the clinical diagnostic value of contrast-enhanced ultrasound combined with microflow imaging (CEUS-MFI) in the differential diagnosis of benign and malignant renal tumors. All patients underwent CEUS, MFI, color doppler flow imaging (CDFI), and CEUS-MFI. The efficacies of these different diagnostic modalities in diagnosing benign and malignant renal tumors were evaluated by Kappa consistency test and the receiver operating characteristic (ROC) curve, with pathological findings serving as the gold standard. CDFI, MFI and CEUS-MFI all demonstrated higher blood flow in malignant tumors compared with benign tumors. Compared with benign tumors, CDFI detected a higher rate of punctate and linear Adler grade 2 and 3 blood flows in malignant tumors, as well as peripheral semicircular or annular blood flow. MFI identified a high rate of peripheral circumferential blood flow and irregular vascular morphology in malignant tumors, with most exhibiting Adler grade 3 blood flow. In addition, CEUS-MFI showed more dendritic or irregular Adler grade 2 or 3 blood flows in malignant renal tumors than MFI alone. Further analysis showed that CEUS-MFI had the highest consistency with pathological diagnosis (Kappa = 0.808). The ROC curve showed that the area under the curve (AUC) for CEUS-MFI in differentiating between benign and malignant lesions was 0.898, significantly outperforming other single diagnostic methods. With its capability to display microvascular information and assess overall pathological characteristics, MFI can accurately predict the nature of renal tumors and assist in surgical planning.

Clinical diagnostic value of contrast-enhanced ultrasound combined with microflow imaging in benign and malignant renal tumors: A retrospective cohort study

This study aims to evaluate the clinical diagnostic value of contrast-enhanced ultrasound combined with microflow imaging (CEUS-MFI) in the differential diagnosis of benign and malignant renal tumors. All patients underwent CEUS, MFI, color doppler flow imaging (CDFI), and CEUS-MFI. The efficacies of these different diagnostic modalities in diagnosing benign and malignant renal tumors were evaluated by Kappa consistency test and the receiver operating characteristic (ROC) curve, with pathological findings serving as the gold standard. CDFI, MFI and CEUS-MFI all demonstrated higher blood flow in malignant tumors compared with benign tumors. Compared with benign tumors, CDFI detected a higher rate of punctate and linear Adler grade 2 and 3 blood flows in malignant tumors, as well as peripheral semicircular or annular blood flow. MFI identified a high rate of peripheral circumferential blood flow and irregular vascular morphology in malignant tumors, with most exhibiting Adler grade 3 blood flow. In addition, CEUS-MFI showed more dendritic or irregular Adler grade 2 or 3 blood flows in malignant renal tumors than MFI alone. Further analysis showed that CEUS-MFI had the highest consistency with pathological diagnosis (Kappa = 0.808). The ROC curve showed that the area under the curve (AUC) for CEUS-MFI in differentiating between benign and malignant lesions was 0.898, significantly outperforming other single diagnostic methods. With its capability to display microvascular information and assess overall pathological characteristics, MFI can accurately predict the nature of renal tumors and assist in surgical planning.

Non-primary solid malignancies of breast in needle core biopsy: a clinicopathological analysis of 23 cases

Objective: To investigate the accurate diagnosis and differential diagnosis of non-primary solid malignant tumors in breast needle core biopsy. Methods: Twenty-three cases of breast, axilla or neck lymph nodes pathologically diagnosed as non-primary solid malignant tumors were collected at the First Affiliated Hospital of Nanjing Medical University, Nanjing, China from January 2013 to March 2023. The differential diagnoses and diagnostic features were analyzed, based on combining clinical data, histology, and expression characteristics of biomarkers. Results: All patients were female, with age ranging from 29 to 75 years (average 56 years). The average time from the diagnosis of primary tumor to the current diagnosis was 21 months (0 to 204 months).The primary sites included the ovary (9 cases), the lung (5 cases), the gastrointestinal tract (4 cases), the pancreas, intrahepatic bile duct, thyroid gland, nasal cavity and forearm skin (1 case each). No carcinoma in situ was found in any of the cases. The morphological differences were significant among the tumors, but similar to the primary tumors. The tumors of neuroendocrine and female reproductive tract had great morphological and immunophenotypic overlaps with breast cancer. Metastatic lung cancer cells showed obvious atypia and tumor giant cells. The morphology and immunophenotype of metastatic serous carcinoma of female reproductive system might resemble invasive micropapillary carcinoma of the breast. Metastatic adenocarcinoma of the gastrointestinal tract often had features of mucous secretion. Metastatic neuroendocrine tumors were bland in appearance and morphologically similar to solid papillary carcinoma of breast, but negative for ER. TRPS1 was mostly negative (18/23) and variably positive in ovarian (4/9) and intrahepatic bile duct (1/1) tumors. Conclusions: The diagnosis of breast needle core biopsy specimen should be combined with clinical history, imaging study, and careful examination of histological features, such as presence of in situ component, morphological similarity between the primary and metastatic tumors, and using appropriate markers to differentiate the primary from metastatic tumors.

Detection of tumor marker CA72-4 with an electrochemical immunosensor based on MnO2 nanosheets and HNM-AuPtPd nanocomposites.

To accurately detect tumor marker carbohydrate antigen 72-4 (CA72-4) of serum samples is of great significance for the early diagnosis of malignant tumors. In the present study, MnO2/hollow nanobox metal-organic framework (HNM)-AuPtPd nanocomposites were prepared via multi-step synthesis and superposition method and a series of characterizations were carried out. A highly sensitive immunosensor Ab/MnO2/HNM-AuPtPd/GCE based on the composite nanomaterial was further prepared and used to detect the tumor marker CA72-4. The constructed immunosensor achieved signal amplification by increasing the electrocatalytic activity to H2O2 by means of the synergistic effect of MnO2 ultra-thin nanosheets (MnO2 UNs) and HNM-AuPtPd. At the same time, the electrochemical properties of the immunosensor were analyzed using cyclic voltammetry, electrochemical impedance, amperometry (with the test voltage of -0.4 V), and differential pulse voltammetry. The experimental results showed that the MnO2/HNM-AuPtPd nanocomposites were successfully prepared, and the immunosensor Ab/MnO2/HNM-AuPtPd/GCE demonstrated an excellent electrochemical performance. The electrochemical immunosensor had the highest detection sensitivity under the optimal experimental conditions, such as incubation pH of 7.0, incubation time of 60 min, with the addition of 15 μL of H2O2, and in the concentration range 0.001-500 U/mL. It had a low detection limit of 1.78×10-5 U/mL (S/N = 3). Moreover, the serum sample recovery were in the range from 99.38 to 100.52%. This study provides a new method and experimental basis for the detection of tumor markers in clinical practice.