Multi-parameter ultrasound based on the logistic regression model in the differential diagnosis of hepatocellular adenoma and focal nodular hyperplasia

Aim. To increase the effectiveness of the differential diagnosis of benign focal lesions of the liver using contrast-enhanced ultrasound (CEUS).Materials and methods. A retrospective analysis of the examination results of 37 patients with morphologically confi rmed liver benign tumors was carried out. According to the morphological data, the patients were divided into two groups: 22 patients with focal nodular hyperplasia (FNH) and 15 patients with hepatocellular adenoma (HCA). All the patients underwent multiparametric ultrasound examination using CEUS.Results. According to the obtained data, despite the nearly equal intensity of fi lling FNH and HCA with a contrast agent (96% and 80%, accordingly), FNH is characterized by an earlier contrasting (WASH IN) pattern in the arterial phase (AF), with the ‘onset of contrasting in the focus’ parameter being signifi cantly different from HCA (p<0.05). Specifi c signs of FNH included the following: the spoke-wheel pattern and an increased intensity of ultrasound contrast agent (USCA) accumulation — 96% of cases; ‘center-to-edge’ fi lling — 86% of cases. WASH-OUT is not a typical sign of FNA. A complete (100% of cases) and intensive (80% of cases) centripetal (80% of cases) fi lling is characteristic of HCA. No specifi c types of vascular pattern were observed. In 6 (40%) patients, WASH-OUT and ‘relative hyperechoic’ were detected in the portal phase.Conclusion. CEUS is established to be an effective method of the differential diagnosis of FNH and HCA.

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Prospects for the application of a new logistic regression model for the differential diagnosis of prostate cancer

Clinical Medicine (Russian Journal) ◽

10.30629/0023-2149-2021-99-2-98-102 ◽

2021 ◽

Vol 99 (2) ◽

pp. 98-102

Author(s):

S. V. Ponkratov ◽

I. B. Oleksjuk ◽

K. L. Kozlov ◽

A. V. Oleksjuk

Keyword(s):

Prostate Cancer ◽

Logistic Regression ◽

Differential Diagnosis ◽

Regression Model ◽

Prostate Specific Antigen ◽

Logistic Regression Model ◽

Specific Antigen ◽

Transrectal Ultrasound ◽

Modern Medicine ◽

Ultrasound Investigation

The differential diagnostic of prostate cancer is the actual task of modern medicine. The existing methods lack accuracy and specificity. It’s the reason of hyper- or hypo-diagnostic of this disease. We developed and tested the new logistic regression model for diagnostic of prostate cancer in men of various age. The model includes age, the volume of prostate, concentration of prostate specific antigen (PCA), 2-pro-PCA in the blood, the presence of the concretion revealed during digital rectal investigation of prostate and hypoechogenic area in transrectal ultrasound investigation. The model was tested in 114 patients. It has shown the higher accuracy and specificity of the new regression model in comparison to other methods of differential diagnostic of prostate cancer.

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394 DIFFERENTIAL DIAGNOSIS BETWEEN FOCAL NODULAR HYPERPLASIA AND HEPATOCELLULAR ADENOMA: POTENTIAL ROLE OF DOUBLE TRACER PET WITH 11C-ACETATE AND 18F-FDG

Journal of Hepatology ◽

10.1016/s0168-8278(08)60396-7 ◽

2008 ◽

Vol 48 ◽

pp. S153

Author(s):

G. Magini ◽

M. Frigerio ◽

M. Farsad ◽

C. Serra ◽

A. Colecchia ◽

...

Keyword(s):

Differential Diagnosis ◽

Focal Nodular Hyperplasia ◽

Potential Role ◽

Hepatocellular Adenoma ◽

Nodular Hyperplasia ◽

18F Fdg

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Utility of serological biomarker’ panels for diagnostic accuracy of interstitial lung diseases

Immunologic Research ◽

10.1007/s12026-020-09158-0 ◽

2020 ◽

Vol 68 (6) ◽

pp. 414-421

Author(s):

Laura Bergantini ◽

Miriana d’Alessandro ◽

Lucia Vietri ◽

Giuseppe Domenico Rana ◽

Paolo Cameli ◽

...

Keyword(s):

Logistic Regression ◽

Differential Diagnosis ◽

Diagnostic Accuracy ◽

Regression Model ◽

Lung Diseases ◽

Logistic Regression Model ◽

Hypersensitivity Pneumonitis ◽

Pulmonary Function Tests ◽

Interstitial Lung Diseases ◽

Reactive Protein

AbstractInterstitial lung diseases (ILD) are a heterogeneous group of illnesses of known and unknown aetiology. Differential diagnosis among the three disorders is often challenging. Specific biomarkers with good sensitivity and specificity are therefore needed to predict clinical outcome and guide clinical decisions. The aim of this study was to investigate inflammatory/fibrotic biomarkers, to determine whether single mediators or panels of mediators could be useful to stratify patients into three distinct domains: sarcoidosis, idiopathic pulmonary fibrosis (IPF) and chronic hypersensitivity pneumonitis (cHP). A total of 163 ILD patients monitored at Siena Referral Centre for Sarcoidosis and other Interstitial Lung Diseases were enrolled in the study. Clinical data, pulmonary function tests and biochemical analytes were retrospectively collected. SAA levels were detected by ELISA kit and Krebs von den Lungen 6 (KL-6) were measured by CLEIA method, for sarcoidosis, cHP and IPF patients. Multiple comparison analysis showed significant differences in C reactive protein (CRP), white blood cell count (WBC) and creatinine levels between the three groups. In the logistic regression model, KL-6, CRP and WBC showed areas under curves (AUC) 0.86, for sarcoidosis diagnosis. The logistic regression model KL-6 and SAA showed the best performance with an AUC 0.81 for discriminating IPF than cHP and sarcoidosis. For differential diagnosis of IPF and cHP, KL-6 and SAA were considered in the logistic regression model, showed an AUC 0.79. The combination of serum biomarkers proposed here offers insights into the pathobiology of ILDs. These panels of bioindicators will improve diagnostic accuracy and will be useful in the clinical management of ILDs.

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Application of monoexponential, biexponential, and stretched-exponential models of diffusion-weighted magnetic resonance imaging in the differential diagnosis of metastases and myeloma in the spine-Univariate and multivariate analysis of related parameters

British Journal of Radiology ◽

10.1259/bjr.20190891 ◽

2020 ◽

Vol 93 (1112) ◽

pp. 20190891

Author(s):

Xiaoying Xing ◽

Jiahui Zhang ◽

Yongye Chen ◽

Qiang Zhao ◽

Ning Lang ◽

...

Keyword(s):

Logistic Regression ◽

Differential Diagnosis ◽

Diffusion Coefficient ◽

Decision Tree ◽

Regression Model ◽

Logistic Regression Model ◽

Decision Tree Model ◽

Tree Model ◽

Stretched Exponential ◽

Exponential Models

Objective: To explore the value of related parameters in monoexponential, biexponential, and stretched-exponential models of diffusion-weighted imaging (DWI) in differentiating metastases and myeloma in the spine. Methods: 53 metastases and 16 myeloma patients underwent MRI with 10 b-values (0–1500 s/mm2). Parameters of apparent diffusion coefficient (ADC), true diffusion coefficient (D), pseudo-diffusion coefficient (D*), perfusion fraction (f), the distribution diffusion coefficient (DDC), and intravoxel water diffusion heterogeneity (α) from DWI were calculated. The independent sample t test and the Mann–Whiney U test were used to compare the statistical difference of the parameter values between the two. Receiver operating characteristics (ROC) curve analysis was used to identify the diagnostic efficacy. Then substituted each parameter into the decision tree model and logistic regression model, identified meaningful parameters, and evaluated their joint diagnostic performance. Results: The ADC, D, and α values of metastases were higher than those of myeloma, whereas the D* value was lower than that of myeloma, and the difference was significant (p < 0.05); the area under the ROC curve for the above parameters was 0.661, 0.710, 0.781, and 0.743, respectively. There was no significant difference in the f and DDC values (p > 0.05). D and α were found to conform to the decision tree model, and the accuracy of model diagnosis was 84.1%. ADC and α were found to conform to the logistic regression model, and the accuracy was 87.0%. Conclusion: The 3 models of DWI have certain values indifferentiating metastases and myeloma in spine, and the diagnostic performance of ADC, D, α and D*was better. Combining ADC with α may markedly aid in the differential diagnosis of the two. Advances in knowledge: Monoexponential, biexponential, and stretched-exponential models can offer additional information in the differential diagnosis of metastases and myeloma in the spine. Decision tree model and logistic regression model are effective methods to help further distinguish the two.

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