High signal renal tumors on DWI: the diagnostic value of morphological characteristics

Zhang, Hongtao; Pan, Jingjing; Shen, Yanguang; Bai, Xu; Wang, Yingwei; Wang, Haiyi; Ye, Huiyi

doi:10.1007/s00261-018-1728-4

Cited by 10 publications

(7 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Some studies have indicated the potential use of ADC as an indicator of renal function, presenting as a lower ADC in renal insufficiency ( 21 – 28 ). However, there are few studies on the application of renal quantitative DWI in diabetic nephropathy ( 29 , 30 ). In this study, our aim was to assess the differentiation of renal changes in patients with stage III type 2 diabetic nephropathy and normal subjects.…”

Section: Discussionmentioning

confidence: 99%

Application of MR Imaging Features in Differentiation of Renal Changes in Patients With Stage III Type 2 Diabetic Nephropathy and Normal Subjects

Huang

Fan

et al. 2022

Front. Endocrinol.

View full text Add to dashboard Cite

ObjectiveThe objective of the study was to explore the value of MRI texture features based on T1WI, T2-FS and diffusion-weighted imaging (DWI) in differentiation of renal changes in patients with stage III type 2 diabetic nephropathy (DN) and normal subjects.Materials and MethodsA retrospective analysis was performed to analyze 44 healthy volunteers (group A) and 40 patients with stage III type 2 diabetic nephropathy (group B) with microalbuminuria. Urinary albumin to creatinine ratio (ACR) <30 mg/g, estimated glomerular filtration rate (eGFR) in the range of 60–120 ml/(min 1.73 m2), and randomly divided into primary cohort and test cohort. Conventional MRI and DWI of kidney were performed using 1.5 T magnetic resonance imaging (MRI). The outline of the renal parenchyma was manually labeled in fat-suppressed T2-weighted imaging (FS-T2WI), and PyRadiomics was used to extract radiomics features. The radiomics features were then selected by the least absolute shrinkage and selection operator (LASSO) method.ResultsThere was a significant difference in sex and body mass index (BMI) (P <0.05) in the primary cohort, with no significant difference in age. In the final results, the wavelet and Laplacian–Gaussian filtering are used to extract 1,892 image features from the original T1WI image, and the LASSO algorithm is used for selection. One first-order feature and six texture features are selected through 10 cross-validations. In the mass, 1,638 imaging extracts features from the original T2WI image.1 first-order feature and 5 texture features were selected. A total of 1,241 imaging features were extracted from the original ADC images, and 5 texture features were selected. Using LASSO-Logistic regression analysis, 10 features were selected for modeling, and a combined diagnosis model of diabetic nephropathy based on texture features was established. The average unit cost in the logistic regression model was 0.98, the 95% confidence interval for the predictive efficacy was 0.9486–1.0, specificity 0.97 and precision 0.93, particularly. ROC curves also revealed that the model could distinguish with high sensitivity of at least 92%.ConclusionIn consequence, the texture features based on MR have broad application prospects in the early detection of DN as a relatively simple and noninvasive tool without contrast media administration.

show abstract

Section: Discussionmentioning

confidence: 99%

Application of MR Imaging Features in Differentiation of Renal Changes in Patients With Stage III Type 2 Diabetic Nephropathy and Normal Subjects

Huang

Fan

et al. 2022

Front. Endocrinol.

View full text Add to dashboard Cite

show abstract

“…Diffusion-weighted magnetic resonance imaging (DWI) reflects the inherent differences in the dispersion movement of water molecules between tissues. The apparent diffusion coefficient (ADC) value is derived from DWI and has become a common imaging index used in clinical settings to quantify the biological behavior of tumors and to evaluate the curative effect ( 14 , 15 ). Previous studies have shown that the ADC value can be used to predict early recurrence of liver cancer after radical resection ( 16 ) and to evaluate whether patients with liver cancer need additional treatment after the first transarterial chemoembolization procedure ( 17 ).…”

Section: Introductionmentioning

confidence: 99%

The Benefit of Apparent Diffusion Coefficient in Evaluating the Invasiveness of Hepatocellular Carcinoma

et al. 2021

View full text Add to dashboard Cite

BackgroundThis study aimed to evaluate hepatocellular carcinoma (HCC) invasiveness using the apparent diffusion coefficient (ADC).MethodsEighty-one patients with HCC confirmed by pathology and examined by preoperative magnetic resonance imaging diffusion-weighted imaging from January 2015 to September 2020 were retrospectively analyzed. Clinical and pathological data were recorded. The minimum ADC (ADCmin), average ADC (ADCmean), and the ratio of ADCmean to normal-appearing hepatic parenchyma ADC (ADCnahp) were assessed. The associations between clinical information, ADC value, and HCC invasiveness (microvascular invasion [MVI], tumor differentiation, and Ki-67 expression) were evaluated statistically. Independent risk factors related to HCC invasiveness were screened using binary logistic regression, and the diagnostic efficiency was evaluated by the receiver operating characteristic curve and its area under the curve (AUC) value.ResultsTumor size was related to HCC MVI and tumor differentiation (P < 0.05). HCC MVI was associated with ADCmin, ADCmean, and the ADCmean-to-ADCnahp ratio (all P < 0.05) with AUC values of 0.860, 0.860, and 0.909, respectively. If these were combined with tumor size, the AUC value increased to 0.912. The degree of tumor differentiation was associated with ADCmin, ADCmean, and the ADCmean-to-ADCnahp ratio (all P < 0.05) with AUC values of 0.719, 0.708, and 0.797, respectively. If these were combined with tumor size, the AUC value increased to 0.868. Ki-67 expression was associated with ADCmin, ADCmean, and the ADCmean-to-ADCnahp ratio (all P < 0.05) with AUC values of 0.731, 0.747, and 0.746, respectively. Combined them, the AUC value increased to 0.763.ConclusionsThe findings indicated that the ADC value has significant potential for the non-invasive preoperative evaluation of HCC invasiveness.

show abstract

“…В тканях опухолей, а также при наличии отека или воспаления наблюдается ограничение скорости диффузии. Согласно литературным данным, диффузионно-взвешенная МРТ (ДВ-МРТ) показала многообещающие результаты в оценке опухолей с использованием карт со значениями ИКД [12,15]. Исследования демонстрируют, что с помощью значений ИКД можно отличать доброкачественные от злокачественных солидных опухолей [4,7].…”

Section: актуальностьunclassified

Diffusion-Weighted Magnetic Resonance Imaging in the Evaluation of Wilms Tumors: Correlation with Histological Data. Pilot Study

Manzhurtseva

Lopatina

Men’shchikov

et al. 2021

jour

View full text Add to dashboard Cite

The aim of the study is to assess the difference in apparent diffusion coefficient (ADC) values depending on the degrees of malignancy of Wilms’ tumor. The study includes 64 patients with verified Wilms tumor after a course of chemotherapy, before undergoing surgical treatment. The patients were examined using scanners with magnetic field induction of 3.0 and 1,5 T. ADC data collection (mm2/s) was carried out using specialized software. Statistical analysis was performed using the Graphpad Prism software package. Based on the results of this study, average ADC values were obtained for histological types of Wilms’ tumors distributed by clinical risk groups: 0.4 × 10-3 mm2/s — for the low grade of malignancy, 1.1 × 10-3 mm2/s — for the average grade of malignancy and 0.6 × 10-3 mm2/s — for the high grade. In addition, for the average grade of malignancy, the ADC values were divided into groups depending on the cellular composition — 1 ± 0.2 × 10-3 mm2/s — for the regressive and mixed type; 0.9 ± 0.2 × 10-3 mm2/s — for the epithelial type; 1.3 ± 0.4 × 10-3 mm2/s — for the stromal type. Thus, diffusion-weighted MRI can be a useful tool in the initial assessment and differential diagnosis of patients with Wilms tumor.

show abstract

High signal renal tumors on DWI: the diagnostic value of morphological characteristics

Abstract: The morphological characteristics of DWI are useful in differentiating renal tumors.

Cited by 10 publications

References 28 publications

Application of MR Imaging Features in Differentiation of Renal Changes in Patients With Stage III Type 2 Diabetic Nephropathy and Normal Subjects

Application of MR Imaging Features in Differentiation of Renal Changes in Patients With Stage III Type 2 Diabetic Nephropathy and Normal Subjects

The Benefit of Apparent Diffusion Coefficient in Evaluating the Invasiveness of Hepatocellular Carcinoma

Diffusion-Weighted Magnetic Resonance Imaging in the Evaluation of Wilms Tumors: Correlation with Histological Data. Pilot Study

Contact Info

Product

Resources

About