MRI OPPORTUNITIES IN CERVICAL CANCER LOCAL STAGING PREOPERATIVE EVALUATION by N. A. Rubtsova, E. G. Novikova, V. E. Sinitsyn

“…Results: The accuracy, sensitivity and specificity of MRI for perioperative evaluationof cervical cancer local staging in I group were 87%, 67%, 81%, positive predictive values (PPVs) and negative predictive values (NPVs) were 94% and 56%, respectively. …”
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Differences in serum anti-PLA2R antibody determination in Uygur patients with idiopathic membranous nephropathy in Xinjiang by ZHANG Jin, LU Chen, ZHANG Jing-jing

“…Objective To detect the sensitivity and specificity of anti-PLA2 R antibodies in Uygur patient with idiopathic membranous nephropathy（IMN）,understand whether the serum anti-PLA2 R antibody can be regarded as the biomarker in Uygur patients with IMN,then study whether there are differences in the expression of anti-PLA2 R antibody between Uygurs and other nationalities.Methods The clinic data of 29 IMN patients（test group）and 29 non-IMN patients（control group）in Uygurfrom November 2016 to May 2017 were collected.IMN was diagnosed by renal puncture biopsy.In the control group,there was IgA nephropathy,minimal lesion,focal periodic glomerular sclerosis and mesangial proliferative glomerulonephritis.The fasting blood in the morning was taken out on the second day after admission.The serum antiPLA2 R antibody was detected.Clinical data were estimated by ROC curve.Results The positive rate of anti-PLA2 R antibody in the test group was 58.62%（n=17/29）,and that in the control group was 0.The sensitivity and specificity of serum anti-PLA2 R antibody in Uygur patients with IMN were 58.62% and 100%,95% confidence was[68.9-93.9],the positive predictive value was 100%,negative predictive value was 70.73%,and the coincidence was 79.31%.Conclusions The serum anti-PLA2 R antibody can be regarded as the biomarker in Uygur patients with IMN.The sensitivity and specificity of serum anti-PLA2 R antibody in Uygur patients with IMN may differ from those in other nationalities.…”
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Diagnostic reliability of a simplified epidemiologic tool to detect high-risk overjet for dental trauma. by Andressa Reisen, Alessandra Ramos Parpaiola, Arlete Maria Gomes Oliveira, Luciane Zanin, Flávia Martão Flório

“…Sensitivity, specificity, positive and negative predictive values were calculated for the classification of risk for dental trauma in terms of overjet using the simplified method and compared to the conventional method. …”
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Current scenario of machine learning applications to hydrothermal liquefaction via bibliometric analysis [version 3; peer review: 1 approved, 2 approved with reservations, 1 not ap... by Nakorn Tippayawong, Sakprayut Sinthupinyo, Somboon Sukpancharoen, Tossapon Katongtung

“…These models aim to predict values and investigate the impact of variables on the hydrothermal liquefaction process. …”
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Idiosyncratic Drug-Induced Liver Injury: From Pathogenesis to Risk Reduction by I. A. Mazerkina

“…The identification of the allele combinations associated with an increased risk of iDILI seems promising for enhancing the predictive value of genetic studies and may be used in personalised medicine.…”
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Establishing an AI-based diagnostic framework for pulmonary nodules in computed tomography by Ruiting Jia, Baozhi Liu, Mohsin Ali

“…The diagnostic accuracy was 90.58%, with an overall positive predictive value of 89% and an overall negative predictive value of 86%. …”
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Evaluating the concordance between Vesical Imaging Reporting and Data System scores and bladder tumor histopathology by Hasan Gungor, Ahmet Camtosun, Ibrahim Topcu, Leyla Karaca

“…Sensitivity of the VI-RADS score was 100%; specificity was 23%; the negative predictive value was 100%; and the positive predictive value was 62%. …”
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A novel approach to overcome black box of AI for optical diagnosis in colonoscopy by Youmin Shin, Jung Ho Bae, Jung Kim, Jinwook Choi, Young-Gon Kim

“…Comparative evaluation showed that niceAI had accuracy comparable to that of deep learning models (area under the curve, 0.946; accuracy, 0.883; sensitivity, 0.888; specificity, 0.879; positive predictive value, 0.893; negative predictive value, 0.872). …”
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The usefulness of endoscopic ultrasonography in differentiation between benign and malignant gastric ulcer by Roganović Branka, Perišić Nenad, Roganović Ana

“…The total point score of ≥ 4 was the cut-off pointscore value which gave the best reliability parameters in the assessment of malignant ulcers: sensitivity of 70%, specificity of 95%, positive predictive value of 93.3%, negative predictive value of 76% and accuracy of 82.5%. …”
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Investigating the Sensitivity and Specificity of Fine Needle Aspiration Cytology for Diagnosing Malignant Liver Tumors by Paheli Maru, Vibha R Vyas, Varnika Rai, Shilpa Kapoor, Samanta Satarupa

“…The sensitivity, specificity, accuracy, positive predictive value and negative predictive value of FNAC in diagnosing malignant liver lesions in our center were 87.25%, 71.21% and 22.72% respectively. …”
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Four Node Sampling: Is It an Effective Alternative to Sentinel Lymph Node Biopsy in Low-resource Settings for Breast Cancer Management by Sreehari Pothina, Manisha Sharma, Puneet Takkar, Parameswar Reddy Gadikota

“…The performance of FNAS as an alternative to SLNB showed a sensitivity of 81%, specificity of 100%, positive predictive value of 100%, and negative predictive value (NPV) of 69%. …”
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ECG features improve multimodal deep learning prediction of incident T2DM in a Middle Eastern cohort by Farida Mohsen, Ali Safa, Zubair Shah

“…Furthermore, stratifying participants into Low-, Medium-, and High-risk categories revealed that ECG-DiaNet achieved a higher positive predictive value (PPV) in the high-risk group compared to CRF-only models. …”
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The effect of postoperative weight loss on difficult intubation in bariatric surgery patients: a prospective observational study by Bahar Uslu Bayhan, Kazım Ersin Altınsoy

“…ROC curve analysis was performed to evaluate the predictive value of preoperative parameters for difficult intubation. …”
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X-ray is not inferior to CT in terms of F1 score in the diagnosis of foreign body aspiration: a recall, precision and F1 score performance analysis based on bronchoscopically prove... by Fatma Sarac, Mehmet Yazici

“…Chest x-rays were found to exhibit 42 % sensitivity, 74 % specificity, a positive predictive value (PPV) of 61 %, a negative predictive value (NPV) of 51 %, accuracy of 66 %, precision: 0.63, recall: 0.82, and F1 score: 0.71. …”
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MULTISLICE COMPUTED TOMOGRAPHY CORONARY ANGIOGRAPHY IN PATIENTS WITH ANGINA PECTORIS by D. Ilić, S. Jankovic

“…The best results were obtained in patients with healthy coronary arteries (high percentage of negative predictive value), which can significantly reduce the number of invasive coronary angiography. …”
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The accuracy of the Candida Score® in predicting the likelihood of fungal sepsis in newborns by Johanes Edy Siswanto, Milda, Dewi Patriani, Boromeus Abyasa Daniswara, Christophorus Adi S. Pamungkas

“…The revised Candida Score® showed sensitivity of 81.3%, specificity of 58.6%, positive predictive value (PPV) of 68.4%, negative predictive value (NPV) of 62.9%, and an area under the curve (AUC) of 0.743 (p = 0.001).Conclusion Incorporating outborn status and thrombocytopenia improved early identification of neonatal candidemia. …”
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Machine-learning of medical cannabis chemical profiles reveals analgesia beyond placebo expectations by Adi Hatav, Yelena Vysotski, Anna Shapira, Shiri Procaccia, David Meiri, Dvir Aran

“…We used a Random Forest classifier with nested cross-validation to assess the predictive value of demographics, clinical features, and approximately 200 chemical compounds. …”
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Increased serum uric acid to creatinine ratio is associated with metabolic dysfunction associated steatotic liver disease by Fang Wang, XuDong Zheng, Xiang Ni, Ying Li

“…Maybe SUA/SCr could be considered as a useful biomarker for MASLD in clinical work, although the predictive value is limited, and further validation and combined usage with other markers are necessary.…”
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Values of lymphocyte-related ratios in predicting the clinical outcome of acute ischemic stroke patients receiving intravenous thrombolysis based on different etiologies by Yongyu Li, Keyang Chen, Lu Wang, Linhu Zhao, Chunyan Lei, Yu Gu, Xiaoyan Zhu, Qionghua Deng

“…BackgroundWhile neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), and platelet-to-lymphocyte ratio (PLR) have been associated with acute ischemic stroke (AIS) outcomes, their differential predictive value across etiological subtypes (TOAST classification) in thrombolysis-treated patients remains underexplored.MethodsIn this retrospective cohort study, we analyzed 381 AIS patients receiving intravenous thrombolysis. …”
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Narrow Band Imaging complements Eosinophilic Esophagitis Reference Score in predicting inflammatory infiltration in patients with dysphagia by Kotryna Truskaite, Laura Vossen Engblom, Greger Lindberg, Aldona Dlugosz

“…We used logistic regression with forward stepwise selection to determine the most relevant predictors (endoscopic signs) of inflammation. To assess the predictive value of endoscopic signs for eosinophilic or lymphocytic infiltration we calculated sensitivity, specificity, and predictive values. …”
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