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https://www.readbyqxmd.com/read/29667616/using-the-prostate-imaging-reporting-and-data-system-version-2-pi-rids-v2-to-detect-prostate-cancer-can-prevent-unnecessary-biopsies-and-invasive-treatment
#1
Chang Liu, Shi-Liang Liu, Zhi-Xian Wang, Kai Yu, Chun-Xiang Feng, Zan Ke, Liang Wang, Xiao-Yong Zeng
Prostate cancer (PCa) is one of the most common cancers among men globally. The authors aimed to evaluate the ability of the Prostate Imaging Reporting and Data System version 2 (PI-RADS v2) to classify men with PCa, clinically significant PCa (CSPCa), or no PCa, especially among those with serum total prostate-specific antigen (tPSA) levels in the "gray zone" (4-10 ng ml-1 ). A total of 308 patients (355 lesions) were enrolled in this study. Diagnostic efficiency was determined. Univariate and multivariate analyses, receiver operating characteristic curve analysis, and decision curve analysis were performed to determine and compare the predictors of PCa and CSPCa...
April 13, 2018: Asian Journal of Andrology
https://www.readbyqxmd.com/read/29665763/neuroimaging-radiological-interpretation-system-niris-for-acute-traumatic-brain-injury-tbi
#2
Max Wintermark, Ying Li, Victoria Y Ding, Yingding Xu, Bin Jiang, Robyn L Ball, Michael Zeineh, Alisa Gean, Pina Sanelli
To develop an outcome-based NeuroImaging Radiological Interpretation System (NIRIS) for acute traumatic brain injury (TBI) patients that would standardize the interpretation of non-contrast head CTs and consolidate imaging findings into ordinal severity categories that would inform specific patient management actions and that could be used as a clinical decision support tool. We retrospectively identified all patients transported to our emergency department by ambulance or helicopter, for whom a trauma alert was triggered per established criteria and who underwent a non-contrast head CT due to suspicion of TBI, between November 2015 and April 2016...
April 18, 2018: Journal of Neurotrauma
https://www.readbyqxmd.com/read/29663314/prediction-models-for-the-risk-of-spontaneous-preterm-birth-based-on-maternal-characteristics-a-systematic-review-and-independent-external-validation
#3
Linda Je Meertens, Pim van Montfort, Hubertina Cj Scheepers, Sander Mj van Kuijk, Robert Aardenburg, Josje Langenveld, Ivo Ma van Dooren, Iris M Zwaan, Marc Ea Spaanderman, Luc Jm Smits
INTRODUCTION: Prediction models may contribute to personalized risk-based management of women at high risk of spontaneous preterm delivery. Although prediction models are published frequently, often with promising results, external validation generally lacks. We performed a systematic review of prediction models for the risk of spontaneous preterm birth based on routine clinical parameters. Additionally, we externally validated and evaluated the clinical potential of the models. MATERIAL AND METHODS: Prediction models based on routinely collected maternal parameters obtainable during first 16 weeks of gestation were eligible for selection...
April 17, 2018: Acta Obstetricia et Gynecologica Scandinavica
https://www.readbyqxmd.com/read/29661289/a-nomogram-to-predict-lymph-node-metastasis-before-resection-in-intrahepatic-cholangiocarcinoma
#4
Ze-Wu Meng, Xiu-Quan Lin, Jin-Hai Zhu, Sheng-Hua Han, Yan-Ling Chen
BACKGROUND: In this study, we developed and validated a nomogram to predict lymph node metastasis before surgery in patients with intrahepatic cholangiocarcinoma (ICC). METHODS: Using the data from January 2006 to January 2015, we enrolled a total of 218 eligible patients with clinicopathologically confirmed ICC as a primary cohort to develop the nomogram. After various variables before surgery were analyzed by multivariable logistic regression, we combined the preoperative carbohydrate antigen 19-9, primary site of tumor, lymphonodus size on computed tomography imaging, tumor growth pattern, and (if applicable) histologic grade to make two different predictive nomograms...
June 2018: Journal of Surgical Research
https://www.readbyqxmd.com/read/29659067/computer-aided-diagnosis-of-prostate-cancer-using-a-deep-convolutional-neural-network-from-multiparametric-mri
#5
Yang Song, Yu-Dong Zhang, Xu Yan, Hui Liu, Minxiong Zhou, Bingwen Hu, Guang Yang
BACKGROUND: Deep learning is the most promising methodology for automatic computer-aided diagnosis of prostate cancer (PCa) with multiparametric MRI (mp-MRI). PURPOSE: To develop an automatic approach based on deep convolutional neural network (DCNN) to classify PCa and noncancerous tissues (NC) with mp-MRI. STUDY TYPE: Retrospective. SUBJECTS: In all, 195 patients with localized PCa were collected from a PROSTATEx database...
April 16, 2018: Journal of Magnetic Resonance Imaging: JMRI
https://www.readbyqxmd.com/read/29656490/cross-cultural-adaptation-reliability-and-validity-of-the-spanish-version-of-the-neonatal-skin-risk-assessment-scale
#6
Pablo García-Molina, Evelin Balaguer López, José Verdú, Andreu Nolasco, Francisco P García Fernández
AIM: To adapt the Neonatal Skin Risk Assessment Scale to the Spanish context and to test its validity and reliability. BACKGROUND: Currently, in Spain there are no validated scales to evaluate the risk of pressure ulcers in infants. METHOD: The research was performed in 10 neonatal units. Overall, we use an observational study design, but divided it in to three stages. In the first stage, the transcultural adaptation of the scale and its content validation was performed...
April 14, 2018: Journal of Nursing Management
https://www.readbyqxmd.com/read/29655996/a-genomic-clinicopathologic-nomogram-for-the-preoperative-prediction-of-lymph-node-metastasis-in-bladder-cancer
#7
Shao-Xu Wu, Jian Huang, Zhuo-Wei Liu, Hai-Ge Chen, Pi Guo, Qing-Qing Cai, Jun-Jiong Zheng, Hai-De Qin, Zao-Song Zheng, Xin Chen, Rui-Yun Zhang, Si-Liang Chen, Tian-Xin Lin
Preoperative lymph node (LN) status is important for the treatment of bladder cancer (BCa). Here, we report a genomic-clinicopathologic nomogram for preoperatively predicting LN metastasis in BCa. In the discovery stage, 325 BCa patients from TCGA were involved and LN-status-related mRNAs were selected. In the training stage, multivariate logistic regression analysis was used to developed a genomic-clinicopathologic nomogram for preoperative LN metastasis prediction in the training set (SYSMH set, n=178). In the validation stage, we validated the nomogram using two independent sample sets (SYSUCC set, n=142; RJH set, n=104) with respect to its discrimination, calibration and clinical usefulness...
March 31, 2018: EBioMedicine
https://www.readbyqxmd.com/read/29653061/to-t-test-or-not-to-t-test-a-p-values-based-point-of-view-in-the-receiver-operating-characteristic-curve-framework
#8
Albert Vexler, Jihnhee Yu
A common statistical doctrine supported by many introductory courses and textbooks is that t-test type procedures based on normally distributed data points are anticipated to provide a standard in decision-making. In order to motivate scholars to examine this convention, we introduce a simple approach based on graphical tools of receiver operating characteristic (ROC) curve analysis, a well-established biostatistical methodology. In this context, we propose employing a p-values-based method, taking into account the stochastic nature of p-values...
April 13, 2018: Journal of Computational Biology: a Journal of Computational Molecular Cell Biology
https://www.readbyqxmd.com/read/29651200/return-to-illicit-drug-use-post-incarceration-among-formerly-incarcerated-black-americans
#9
Tawandra L Rowell-Cunsolo, Betsy Szeto, Charlotte McDonald, Nabila El-Bassel
Aims: The number of drug dependent individuals incarcerated in the U.S. is exceptionally high, and reportedly 60 percent of incarcerated Black Americans have a substance abuse disorder. The purpose of this study was to identify factors associated with return to illicit drug use post-incarceration. Methods: A cross-sectional study was conducted with 121 formerly incarcerated Black Americans in New York City to examine predictors of return to illicit drug use. Kaplan-Meier curves were generated on the outcome of time-to-drug use for various predictors and compared using the log-rank test...
2018: Drugs: Education, Prevention, and Policy
https://www.readbyqxmd.com/read/29650315/radiomics-based-features-for-pattern-recognition-of-lung-cancer-histopathology-and-metastases
#10
José Raniery Ferreira Junior, Marcel Koenigkam-Santos, Federico Enrique Garcia Cipriano, Alexandre Todorovic Fabro, Paulo Mazzoncini de Azevedo-Marques
BACKGROUND AND OBJECTIVES: lung cancer is the leading cause of cancer-related deaths in the world, and its poor prognosis varies markedly according to tumor staging. Computed tomography (CT) is the imaging modality of choice for lung cancer evaluation, being used for diagnosis and clinical staging. Besides tumor stage, other features, like histopathological subtype, can also add prognostic information. In this work, radiomics-based CT features were used to predict lung cancer histopathology and metastases using machine learning models...
June 2018: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/29648985/feasibility-of-telemetric-intracranial-pressure-monitoring-in-the-neuro-intensive-care-unit
#11
Alexander Lilja-Cyron, Jesper Kelsen, Morten Andresen, Kåre Fugleholm, Marianne Juhler
Intracranial pressure (ICP) monitoring is crucial in the management of acute neurosurgical conditions such as traumatic brain injury (TBI). However, pathological ICP may persist beyond the admission to the neuro intensive care unit (NICU). We investigated the feasibility of telemetric ICP monitoring in the NICU, as this technology provides the possibility of long-term ICP assessment beyond NICU discharge. In this prospective investigation, we implanted telemetric ICP sensors (Raumedic Neurovent-P-tel) instead of conventional, cabled ICP sensors in patients undergoing decompressive craniectomy...
March 16, 2018: Journal of Neurotrauma
https://www.readbyqxmd.com/read/29648669/a-clinical-prediction-model-for-surgical-site-infections-in-dermato-logical-surgery
#12
Xiaomeng Liu, Nicole W J Kelleners-Smeets, Melissa Sprengers, Vishal Hira, Klara Mosterd, Patty J Nelemans
To adequately identify patients at risk for surgical site infection in dermatological surgery and effectively prescribe antibiotic prophylaxis, a prediction model may be helpful. Such a model was developed using data from 1,407 patients who underwent dermatological surgery without antibiotic prophylaxis. The multivariable logistic regression model included type of closure, tumour location and defect size as risk factors. Bootstrapping was used for internal validation. The overall performance of the model was good, with an area under the curve of 84...
April 12, 2018: Acta Dermato-venereologica
https://www.readbyqxmd.com/read/29626238/primary-central-nervous-system-lymphoma-and-atypical-glioblastoma-differentiation-using-radiomics-approach
#13
Hie Bum Suh, Yoon Seong Choi, Sohi Bae, Sung Soo Ahn, Jong Hee Chang, Seok-Gu Kang, Eui Hyun Kim, Se Hoon Kim, Seung-Koo Lee
OBJECTIVES: To evaluate the diagnostic performance of magnetic resonance (MR) radiomics-based machine-learning algorithms in differentiating primary central nervous system lymphoma (PCNSL) from non-necrotic atypical glioblastoma (GBM). METHODS: Seventy-seven patients (54 individuals with PCNSL and 23 with non-necrotic atypical GBM), diagnosed from January 2009 to April 2017, were enrolled in this retrospective study. A total of 6,366 radiomics features, including shape, volume, first-order, texture, and wavelet-transformed features, were extracted from multi-parametric (post-contrast T1- and T2-weighted, and fluid attenuation inversion recovery images) and multiregional (enhanced and non-enhanced) tumour volumes...
April 6, 2018: European Radiology
https://www.readbyqxmd.com/read/29626008/differences-between-ata-aace-ace-ame-and-acr-ti-rads-ultrasound-classifications-performance-in-identifying-cytological-high-risk-thyroid-nodules
#14
Angelo Lauria, Ernesto Maddaloni, Silvia Irina Briganti, Giuseppina Beretta Anguissola, Eleonora Perrella, Chiara Taffon, Andrea Palermo, Paolo Pozzilli, Silvia Manfrini, Anna Crescenzi
OBJECTIVE: Thyroid ultrasound is crucial for clinical decision in the management of thyroid nodules. In this study we aimed to estimate and compare the performance of ATA, AACE/ACE/AME and ACR TI-RADS ultrasound classifications in discriminating nodules with high-risk cytology. DESIGN: Cross sectional study Methods 1077 thyroid nodules undergoing fine needle aspiration were classified according to ATA, AACE/ACE/AME and ACR TI-RADS ultrasound classifications by an automated algorithm...
April 6, 2018: European Journal of Endocrinology
https://www.readbyqxmd.com/read/29624484/early-inflammatory-biomarkers-as-predictive-factors-for-freedom-from-infection-after-colorectal-cancer-surgery-a-prospective-cohort-study
#15
André Goulart, Carla Ferreira, Alexandra Estrada, Fernanda Nogueira, Sandra Martins, António Mesquita-Rodrigues, Nuno Sousa, Pedro Leão
PURPOSE: Different biomarkers are useful in diagnosing infections. The aim of this work was to clarify the relation between different inflammatory biomarkers (white blood cell [WBC] count, C-reactive protein [CRP], procalcitonin [PCT], and C-reactive protein-to-albumin ratio [CAR]) and early infectious complications after colorectal surgery. METHODS: This prospective single-center cohort study included 130 patients undergoing elective colorectal surgery. The WBC count, CRP, and PCT were measured at post-operative day one (POD1) and POD3 and albumin on POD3...
April 6, 2018: Surgical Infections
https://www.readbyqxmd.com/read/29624148/reliability-of-mri-for-predicting-characteristics-of-neurovascular-conflicts-in-trigeminal-neuralgia-implications-for-surgical-decision-making
#16
Andrei Brînzeu, Landry Drogba, Marc Sindou
OBJECTIVE The choice of microvascular decompression (MVD), among the several other surgical options, for treating refractory classical trigeminal neuralgia (TN) relies mostly on preoperative imaging, but the degree of reliability of MRI remains a matter of debate. The authors approached the question of predictability of neurovascular conflict (NVC) in a series of 100 protocolized MRI studies from patients with TN who underwent MVD, by reexamination of MR images, blinded to the clinical data and surgical findings, including the side of the neuralgia...
April 6, 2018: Journal of Neurosurgery
https://www.readbyqxmd.com/read/29622267/predicting-performance-and-safety-based-on-driver-fatigue
#17
Daniel Mollicone, Kevin Kan, Chris Mott, Rachel Bartels, Steve Bruneau, Matthew van Wollen, Amy R Sparrow, Hans P A Van Dongen
Fatigue causes decrements in vigilant attention and reaction time and is a major safety hazard in the trucking industry. There is a need to quantify the relationship between driver fatigue and safety in terms of operationally relevant measures. Hard-braking events are a suitable measure for this purpose as they are relatively easily observed and are correlated with collisions and near-crashes. We developed an analytic approach that predicts driver fatigue based on a biomathematical model and then estimates hard-braking events as a function of predicted fatigue, controlling for time of day to account for systematic variations in exposure (traffic density)...
April 2, 2018: Accident; Analysis and Prevention
https://www.readbyqxmd.com/read/29621990/risk-factors-for-long-term-mortality-in-patients-admitted-with-severe-infection
#18
J Francisco, I Aragão, T Cardoso
BACKGROUND: Severe infection is a main cause of mortality. We aim to describe risk factors for long-term mortality among inpatients with severe infection. METHODS: Prospective cohort study in a 600-bed university hospital in Portugal including all patients with severe infection admitted into intensive care, medical, surgical, hematology and nephrology wards over one-year period. The outcome of interest was 5-year mortality following infection. Variables of patient background and infectious episode were studied in association with the main outcome through multiple logistic regression...
April 5, 2018: BMC Infectious Diseases
https://www.readbyqxmd.com/read/29621763/predictive-value-of-four-dimensional-strain-echocardiography-for-adverse-cardiovascular-outcomes-in-st-elevation-myocardial-infarction-patients-treated-with-primary-percutaneous-coronary-intervention
#19
Wei Cai, Yan Dong, Lu Tian, Chun-Xia Cao, Xiu-Long Niu, Xin-Lin Liu, Jun-Xiang Liu, Wen-Jie Ji, Zhuoli Zhang, Xin Zhou, Yu-Ming Li
OBJECTIVES: To investigate the predictive value of four-dimensional (4D) strain echocardiography for major adverse cardiovascular events (MACE) in ST-elevation acute myocardial infarction (STEMI) patients. METHODS: Consecutive STEMI patients who underwent successful primary coronary interven tion (PCI) were enrolled and followed, with 2D and 4D strain echocardiography performed within 1 week after PCI. RESULTS: Twenty-six first MACE were recorded in 81 patients who finished a ∼3...
April 5, 2018: Cardiology
https://www.readbyqxmd.com/read/29621060/prediction-of-the-development-of-persistent-massive-ascites-after-living-donor-liver-transplantation-using-a-perioperative-risk-score
#20
Yi-Ju Wu, Shih-Ho Wang, Ahmed M Elsarawy, Yi-Chia Chan, Chao-Long Chen, Ben-Chung Cheng, Lung-Chi Li, Chien-Hua Chiu, Yi-Wei Lee, Yu-Cheng Lin, Sin-Yong Wee, Cheng-Chung Pan, Yu-Yin Kao, Ying-Hsiu Chen, Hsiao-Wen Lin, Li-Man Lin, Chih-Che Lin
BACKGROUND: Persistent massive ascites (PMAS) >14 days after living donor liver transplantation (LDLT) is not uncommon and associated with worse outcome. A predictive risk scoring system was constructed after analysis of recipient, graft and surgery related factors. METHODS: We retrospectively reviewed adult LDLT recipients from 2005 to 2011 after excluding cases that experienced any intervention for perioperative vascular-related events. Two groups were identified; PMAS and non-PMAS...
April 5, 2018: Transplantation
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