syedzayyan/paper_mill_benchmark huggingface dataset:
Design Computer-Aided Diagnosis System Based on Chest CT Evaluation of Pulmonary Nodules

At present, the diagnosis and treatment of lung cancer have always been one of the research hotspots in the medical field.Early diagnosis and treatment of this disease are necessary means to improve the survival rate of lung cancer patients and reduce their mortality.The introduction of computer-aided diagnosis technology can easily, quickly, and accurately identify the lung nodule area as an imaging feature of early lung cancer for the clinical diagnosis of lung cancer and is helpful for the quantitative analysis of the characteristics of lung nodules and is useful for distinguishing benign and malignant lung nodules.Growth provides an objective diagnostic reference standard.This paper studies itk and vtk toolkits and builds a system platform with mfc.By studying the process of doctors diagnosing lung nodules, the whole system is divided into seven modules: suspected lung shadow detection, image display and image annotation, and interaction.The system passes through the entire lung nodule auxiliary diagnosis process and obtains the number of nodules, the number of malignant nodules, and the number of false positives in each set of lung ct images to analyze the performance of the auxiliary diagnosis system.In this paper, a lung region segmentation method is proposed, which makes use of the obvious differences between the lung parenchyma and other human tissues connected with it, as well as the position relationship and shape characteristics of each human tissue in the image.Experiments are carried out to solve the problems of lung boundary, inaccurate segmentation of lung wall, and depression caused by noise and pleural nodule adhesion.Experiments show that there are 2316 ct images in 8 sets of images of different patients, and the number of nodules is 56.A total of 49 nodules were detected by the system, 7 were missed, and the detection rate was 87.5%.A total of 64 false-positive nodules were detected, with an average of 8 per set of images.This shows that the system is effective for ct images of different devices, pixel pitch, and slice pitch and has high sensitivity, which can provide doctors with good advice.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Which Plants for What Ailments: A Quantitative Analysis of Medicinal Ethnobotany of Ile-Ife, Osun State, Southwestern Nigeria

Studies on medicinal ethnobotany in rural areas and communities are important for documentation and generation of indigenous knowledge on the medicinal use of plants, as well as identification of new botanicals of pharmacological significance.This paper presents, for the first time, the quantitative ethnobotanical uses of medicinal plants in ile-ife, osun state, nigeria.The ethnobotanical survey was carried out by conducting semistructured interviews with 70 informants/collaborators.Data were analyzed using various quantitative indices, namely, ethnobotanical knowledge index (eki), species popularity index (spi), relative frequency of citation (rfc), cultural importance index (cii), informant consensus factor (fic), fidelity level (fl), and species therapeutic index (sti).A total of 87 plant species belonging to 43 families were documented along with their medicinal uses.Euphorbiaceae is the most implicated family (9%) of the plants documented, and herbs (36%) were the prevalent life form while leaf (46%) was the most used plant part.Fevers are the most common diseases treated with the medicinal plants with 1012 use-reports, followed by skin diseases with 314 use-reports while the most common mode of preparation is decoction (37%).Telfaria occidentalis has the highest spi and rfc (0.99, 0.99) while khaya grandifoliola has the highest cii of 1.91.The community has eki of 0.57 indicating a good knowledge of medicinal plants around them.Species such as citrus aurantifolia, khaya grandifoliola, and ocimum gratissimum have high quantitative indices suggesting that they are effective in the treatment of various diseases in the community and therefore should be considered for pharmacological studies to validate their folkloric usages.

Journal: Evidence-Based Complementary and Alternative Medicine (2021)
Publication types: Research Article;
Value of MSCT plus MRI in the Detection of Colon Cancer

Colon cancer is a common digestive system malignancy with nonspecific early symptoms, which necessitates better early detection methods.The present study was conducted to assess the accuracy and clinical value of multislice spiral ct (msct) plus magnetic resonance imaging (mri) for colon cancer.Between january 2019 and july 2020, 100 patients with pathologically confirmed colon cancer treated in wuxi people’s hospital were assessed for eligibility and recruited.All eligible patients received mri and msct without any treatment prior to scanning.The accuracy of preoperative diagnosis and staging of colon cancer by mri, msct, and mri plus msct were analyzed using postoperative pathological results as the gold standard, and consistency analysis was performed.The receiver operating characteristic curve (roc) was plotted, and the area under the curve (auc) was obtained to analyze the preoperative diagnostic value.The accuracy of mri, msct, and mri plus msct was 98.00%, 96.00%, and 100% with good consistency (kappa = 0.732, 0.703, and 0.756).The auc of mri, msct, and mri plus msct was 0.889, 0.861, and 0.903, respectively.The preoperative diagnostic accuracy of mri for colon cancer at t1, t2, t3, and t4 stages was 76.92%, 82.61%, 73.47%, and 86.67%, respectively, those of msct was 53.85%, 69.57%, 63.27%, and 40.00%, respectively, and those of mri plus msct was 100.00%, 95.65%, 95.92%, and 86.67%, respectively.Consistency analysis yielded good consistency for the diagnosis of the t-staging of colon cancer (kappa = 0.754, 0.731, 0.776).Msct plus mri yielded higher accuracy, specificity, and sensitivity in the detection of colon cancer versus the standalone mri or msct, which demonstrated great potential in the early detection of colon cancer with a high clinical value.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Research Article;
Value Analysis of Neoadjuvant Radiotherapy for Breast Cancer after Modified Radical Mastectomy Based on Data Mining

Over the last two generations, there has been a surge of interest in nonmutilating treatment for women with early breast cancer.Neoadjuvant radiation therapy, which is progressively being provided to breast cancer patients, could be used to decrease tumor burden while also providing an ability to examine treatment response.This paper aims to explore the effects of the initiation time of radiotherapy after modified adjuvant radical mastectomy on the prognosis of breast cancer.The emr data can be used to mine hidden rules, which are of great significance for treatment and prognosis analysis.In collaboration with breast cancer, the appropriate prediction model and visualization method are selected and a visual analysis system for breast cancer group and treatment plan based on electronic medical record is constructed.Patients with multiple dimensions are reduced and clustered to form patient groups.The differences of characteristics among patient groups are intuitively displayed by using nightingale diagram, word cloud, and time axis visualization methods.The support vector machine (svm) model is used to predict the treatment scheme.The radiotherapy time after modified radical surgery in the two groups was within 15 weeks (observation group) and 15 weeks (routine group), respectively.The incidence of complications, local recurrence rate, progression-free survival, and quality of life scores of patients in the routine group and observation group were compared.The total incidence of complications differed significantly between the observation and routine groups.The physical function, material function, psychological function, and social function of the observation group were significantly higher than the routine group p &lt; 0.05 .Radiotherapy within 15 weeks after modified radical mastectomy for breast cancer can not only reduce the local recurrence rate but also prolong the progression-free survival of patients, and the incidence of complications will not increase, which will greatly help improve the quality of life of patients.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;
Ultrasound Lung Image under Artificial Intelligence Algorithm in Diagnosis of Neonatal Respiratory Distress Syndrome

In order to analyze the application of ultrasonic lung imaging diagnosis model based on artificial intelligence algorithm in neonatal respiratory distress syndrome (nrds), an ultrasonic lung imaging diagnosis model based on a deep residual network (drn) was proposed.In this study, 90 premature infants in the hospital were selected as the research object and divided into the experimental group (45 cases) and control group (45 cases) according to whether or not they have nrds.Drn was compared with the deep residual network (drwsr) based on wavelet domain, deep residual network detection with normalization framework (fisher-drn), and distorted image edge detection preprocessor (diedp).Then, it was applied to the diagnosis of nrds.The clinical data and ultrasound imaging results of infants with nrds and ordinary premature infants were compared.The results showed that the gestational age, birth weight, and apgar scores of the nrds group were remarkably lower than those of ordinary children ( p &lt; 0.05 ).In addition, the segmentation accuracy, image feature extraction accuracy, algorithm convergence, and time loss of the drn algorithm were better than the other three algorithms, and the differences were considerable ( p &lt; 0.05 ).In children with nrds, the positive rate of abnormal pleural line, disappearance of a line, appearance of b line, and alveolar interstitial syndrome (ais) test in the results of lung ultrasound examination in children with nrds were all 100%.The lung consolidation became 70.8%, and the white lung-like change was 50.1%, both of which were higher than those of ordinary preterm infants, and the differences were considerable ( p &lt; 0.05 ).The diagnostic model of this study predicted that the auc area of grade 1-2, grade 2-3, and grade 3-4 nrds were 0.962, 0.881, and 0.902, respectively.To sum up, the ultrasound lung imaging diagnosis model based on the drn algorithm had good diagnostic performance in children with nrds and can provide useful information for clinical nrds diagnosis and treatment.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Ulinastatin as an Adjuvant Therapy to Restricting Volumes of Resuscitation Fluid Strategy for Patients with Septic Shock after Initial Management

Septic shock is the most serious complication of sepsis, leading to unacceptably high morbidity and mortality worldwide.Fluid resuscitation using crystalloids has become the mainstay of early and aggressive treatment of severe sepsis and septic shock, while increased daily fluid balances from day 2 until day 7 have been related with increased mortality.Recently, pharmacological management has been recommended to combine with appropriate fluid resuscitation for the treatment of septic shock.In this study, we compared the clinical efficacy of restricting volumes of resuscitation fluid strategy with or without intravenous infusion of ulinastatin (uti) in treating patients with septic shock and additionally examined the patient’s changes of the extravascular lung water index (evlwi), pulmonary vascular permeability index (pvpi), systemic vascular resistance index (svri), cardiac function, lactic acid (la) level, coagulation function, and renal function.The study included 182 patients with septic shock, among which 89 patients had undergone restricting volumes of resuscitation fluid strategy with intravenous infusion of uti and 93 patients had undergone restricting volumes of resuscitation fluid strategy alone.It was found that patients with septic shock after restricting volumes of resuscitation fluid strategy with intravenous infusion of uti showed an increased svri concomitant with declined pvpi and evlwi, increased mean artery pressure (map), cardiac output (co), left ventricular ejection fraction (lvef), stroke volume (sv), and heart rate (hr), declined levels of cardiac troponin i (c tn i), n-terminal pro-b-type natriuretic peptide (nt-pro bnp), and c-reactive protein (crp), reduced la level along with shortened prothrombin time (pt) and partially activated thrombin time (patt), and decreased levels of blood urea nitrogen (bun), creatinine (cr), and uric acid (ua) when comparable to those after restricting volumes of resuscitation fluid strategy alone ( p &lt; 0.05 ).We also observed fewer scores of the acute physiology and chronic health evaluation (apache ii) and the sequential organ failure assessment (sofa) in patients undergoing restricting volumes of resuscitation fluid strategy with intravenous infusion of uti than those undergoing restricting volumes of resuscitation fluid strategy alone ( p &lt; 0.05 ).According to the above data, it is concluded that uti as an adjuvant therapy for restricting volumes of resuscitation fluid strategy in treating septic shock may decrease the la level, attenuate the inflammatory response, reduce vascular permeability, prevent pulmonary edema, and restore cardiac and renal functions.

Journal: Evidence-Based Complementary and Alternative Medicine (2021)
Publication types: Research Article;
Triptolide Attenuates Neuropathic Pain by Regulating Microglia Polarization through the CCL2/CCR2 Axis

Triptolide (t10) is a common anti-inflammatory and analgesic drug.However, the activation of microglia and elimination of the corresponding inflammatory response are new targets for the treatment of neuropathic pain.Chemokine ccl (ccl2) is a key mediator for activating microglia.In this study, the effects of triptolide on the activation and polarization of microglia cells and ccl2 and its corresponding receptor, chemokine receptor 2 (ccr2), were mainly discussed.Microglia were stimulated with 1 μg/m l lipopolysaccharide (lps) and pretreated with 10, 20, and 40 n m t10 and ccr2 antagonist (rs102895), respectively.The quantitative polymerase chain reaction (qpcr) and western blot results showed that t10 could obviously inhibit the upregulation of ccl2 and ccr2 induced by lps stimulation in microglia cells, inhibit the fluorescence intensity of glial fibrillary acidic protein (gfap) and inducible nitric oxide synthase (i nos) antibody immunostaining in cells, and upregulate the fluorescence intensity of arginase 1 antibody in cells.The expression of interleukin-6 (il-6), interleukin-1β (il-1β), and tumor necrosis factor-α (tnf-α) was inhibited in a dose-dependent manner.Rs102895 can significantly reverse the activation and m2 polarization of microglia pretreated with 40 n m t10 and weaken the anti-inflammatory effect of t10.The addition of ccl2 did not extremely affect the function of rs102895.T10 may inhibit microglia activation and m1 polarization by inhibiting the expression of ccl2 and ccr2, promoting m2 polarization, reducing the level of inflammatory factors in cells, and exerting its analgesic effect, which is worthy of clinical promotion as a drug for neuropathic pain.

Journal: Evidence-Based Complementary and Alternative Medicine (2021)
Publication types: Research Article;
Treatment with Antiviral Drugs Will Significantly Inhibit the HIV-1 RNA POL Gene Expression and Viral Load in AIDS Patients

This study is to investigate the difference in hiv-1 rna pol gene expression in aids patients before and after antiviral treatment and its effect on the expression level of cd4+/cd8+ t cells in peripheral blood.Methods.The participants included 200 aids patients who had undergone antiviral medication, and the quantity of hiv-1 rna pol gene was determined using nested polymerase chain reaction (n pcr).The levels of cd3+, cd4+, and cd8+ t lymphocytes in peripheral blood were measured by flow cytometry before and after therapy.The receiver operating characteristics (roc) curve was used to assess the impact of hiv-1 rna pol gene expression and the cd4+/cd8+ ratio on the prognosis of aids patients.Results.After three months of therapy, the levels of hiv-1 rna and viral load in the patients showed a drastic decline, while the levels of cd4+/cd8+ were markedly elevated ( p &lt; 0.05 ).Logistic analysis revealed that patients’ viral loads were positively correlated with hiv-1 rna and negatively correlated with cd4+/cd8+ ( p &lt; 0.05 ).The alanine aminotransferase (alt), white blood cell (wbc) count, serum creatinine (cr), total cholesterol (tc), triglyceride (tg), and platelet (plt) levels significantly increased following a 24-month therapy, while no significant changes were observed in the level of aspartate aminotransferase (ast), red blood cell (rbc), and neutrophil (neu) (%).( p &gt; 0.05 ).Conclusion.Antiviral drugs significantly inhibit the hiv-1 rna pol gene expression and viral load in aids patients but upregulate the expression level of cd4+/cd8+ t cells in peripheral blood.

Journal: Disease Markers (2023)
Publication types: Research Article;
Time to First Dressing Change after Peripherally Inserted Central Venous Catheter (PICC) Insertion in Breast Cancer Patients

Peripherally inserted central catheter (picc) is the most commonly used infusion route for chemotherapy in chinese breast cancer patients because of its convenience, ease of operation, and many maintenance sites.Objective.The objective of this study is to investigate the effect of the first dressing change time on the healing of puncture site and the economic and psychological impact in patients with breast cancer after picc insertion.Methods.From april 2020 to october 2020, 120 patients with picc intubation after breast cancer surgery were selected as the research objects and divided into test group and the control group with 60 cases in each group according to the random number table method.The time of the first dressing change in the control group was routinely performed within 24 hours after picc catheter placement, while the first dressing change in test group was performed at 48 hours after catheter placement.The effect of the first dressing change time after picc catheterization on patients after breast cancer surgery was compared between the two groups.Results.There were significant differences between the two groups in the degree of pain after the first dressing change, the degree of oozing at the puncture site within 1 week, the duration of oozing, and the frequency of maintenance within 3 weeks, cost, depression, and anxiety ( p &lt; 0.05 ).Conclusion.The first dressing change 48 hours after picc cauterization in patients after breast cancer surgery reduces significantly puncture site bleeding, reduces the frequency of dressing change, and benefits the physical and mental health of patients.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Three-Dimensional Ultrasound Images in the Assessment of Bladder Tumor Health Monitoring under Deep Learning Algorithms

This study was aimed at exploring the application value of three-dimensional (3d) ultrasound based on deep learning and continued nursing health monitoring (cnhm) mode in promoting the recovery of bladder cancer patients after surgery.60 patients who underwent muscular noninvasive superficial bladder cancer and bladder perfusion treatment were selected as the research objects.The patients were randomly divided into two groups: an experimental group (30 cases) and a control group (30 cases).Patients in the experimental group adopted a cnhm model during the bladder perfusion treatment.The patients in control group adopted ordinary health monitoring mode.All patients underwent 3d ultrasound examination, and all images were processed using the convolutional neural network (cnn) algorithm.All patients were followed up regularly within 12 after the treatment.The imaging data, quality of life, satisfaction, and complications of the two groups of patients were compared in each time period.The ultrasound image processed by the cnn algorithm was clearer than that processed by the original method, showing higher image quality and more prominent lesion features.After 12 months of health monitoring intervention, the overall health status, scores of various functional areas, and score of functional subscales of the experimental group were greatly higher than those of the control group, and the differences were statistically significant ( p &lt; 0.05 ).The incidence of adverse reactions in the experimental group was much lower than that in the control group, and the difference was statistically obvious ( p &lt; 0.05 ).The comparison of the recurrence rate between the two groups of patients in each time period was statistically significant.The satisfaction score of the experimental group was much higher than the score of the control group, showing statistically significant difference ( p &lt; 0.05 ).Cnn algorithm showed high application value in 3d ultrasound image processing, and the cnhm model was very beneficial to the postoperative recovery of bladder cancer patients.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Application of Accelerated Rehabilitation Surgery in Gastrointestinal Surgery

Adding timely rehabilitation surgery is an optimized perioperative measure that can reduce physical stress, reduce surgical risks, and postoperative complications and promote the recovery of organ function.Therefore, it is of great value to study its application in gastrointestinal surgery (gs).To this end, this article applies retrospective analysis and statistical methods to conduct targeted investigations and studies on gs patients.The results of the survey showed that 26.7% of patients were effective in ars and 40% were effective in treatment.Compared with traditional treatment methods, its effective treatment rate is 13.4% higher.

Journal: Computational and Mathematical Methods in Medicine (2021)
Publication types: Research Article;