The diagnostic value of diffusion-weighted imaging in differentiating benign from malignant hepatic lesions

Javadrashid, Reza; Olyaei, Abolhassan Shakeri Bavil; Tarzamni, Mohammad Kazem; Razzaghi, Roghayeh; Jalili, Javad; Hashemzadeh, Shahryar; Mirza-Aghazadeh-Attari, Mohammad; Nazarlou, Ali Kiani; Zarrintan, Armin

doi:10.1186/s43066-020-0020-9

Cited by 8 publications

(8 citation statements)

References 21 publications

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“…These CEUS findings were inconsistent with those of metastatic liver tumors, which have internal necrosis. Malignant lesions reportedly show a high intensity on DWI and hypo-values on ADC because of their high cell density [24,25]. Regarding the MRI findings in our case, the DWI showed high-intensity lesions; however, high values were observed on the ADC maps.…”

Section: Discussionmentioning

confidence: 49%

Multiple Inflammatory Pseudotumors of the Liver Demonstrating Spontaneous Regression: A Case Report

Ishii-Kitano

Enomoto

Nishimura

et al. 2022

Life

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Inflammatory pseudotumor (IPT) of the liver is a rare benign disease. IPTs generally develop as solitary nodules, and cases with multiple lesions are uncommon. We herein report a case of multiple IPTs of the liver that spontaneously regressed. A 70-year-old woman with a 10-year history of primary biliary cholangitis and rheumatoid arthritis visited our hospital to receive a periodic medical examination. Abdominal ultrasonography revealed multiple hypoechoic lesions, with a maximum size of 33 mm, in the liver. Contrast-enhanced computed tomography revealed low-attenuation areas in the liver with mild peripheral enhancement at the arterial and portal phases. We first suspected metastatic liver tumors, but fluorodeoxyglucose positron emission tomography, magnetic resonance imaging and contrast-enhanced ultrasonography suggested the tumors to be inconsistent with malignant nodules. A percutaneous biopsy showed shedding of liver cells and abundant fibrosis with infiltration of inflammatory cells. Given these findings, we diagnosed the multiple tumors as IPTs. After careful observation for two months, the tumors almost vanished spontaneously. Physicians should avoid a hasty diagnosis of multiple tumors based solely on a few clinical findings, and a careful assessment with various imaging modalities should be conducted.

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Section: Discussionmentioning

confidence: 49%

Multiple Inflammatory Pseudotumors of the Liver Demonstrating Spontaneous Regression: A Case Report

Ishii-Kitano

Enomoto

Nishimura

et al. 2022

Life

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“…According to Javadrashid et al (20) , there was a highly statistically significant difference between the mean ADC values of the haemangioma (1.6134 10-3 mm 2 /s) and the metastatic lesion (0.8451 10 -3 mm 2 /s). In benign lesions, the ADC value was substantially higher (P <0.001).…”

Section: Discussionmentioning

confidence: 96%

Differentiation Between Hepatic Hemangioma and Metastasis by Diffusion Weighted MRI

Helmy¹,

Latif²,

Sultan³

2022

The Egyptian Journal of Hospital Medicine

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Background: Diagnosis of hepatic focal lesions could be done by magnetic resonance imaging (MRI) study especially when diffusion-weighted magnetic resonance imaging (DWI) is included in the imaging protocol with apparent diffusion coefficient (ADC) quantification. Several studies have demonstrated that combining DWI with ADC measurement plays an important role in the detection and characterization of hepatic focal lesions and differentiating hemangioma from hepatic deposits. Objective: The current study aimed at evaluation of the role of diffusion weighted imaging differentiating between hepatic hemangioma and metastasis (1-4 lesions in number) by diffusion weighted MRI in patient pathologically proved to have primary malignancy. Patient and methods: Fifty cases were included; patients referred to Radiology Department of Mansoura University Hospital. There were 33 females and 17 male patients with age ranged from 26 to 82 years. All patients were subjected to proper history taking and DWI MRI. This study was using a 1.5 T Philips Ingenia MRI scanner. Results: ADC had significantly lower values in patients with metastatic hepatic lesions with mean ADC 0.93 (SD 0.21) x10 -3 mm 2 /sec. ADC had significantly higher values in patients with hemangioma with mean ADC 1.96 (SD 0.31) x10 -3 mm 2 /sec. The mean ADC value in the metastatic group was statistically significantly lower compared to the hemangioma group. ADC had sensitivity and specificity of 100 % and 95.8% respectively, and an accuracy of 97.4% in differentiating between hemangioma and metastasis cases, when a cut-off value of 1.55 x 10-3mm2/s was applied. Conclusion: Combined qualitative and quantitative analysis of DWI and ADC values respectively can help in differentiation between hepatic hemangioma and metastatic deposits. Using DWI and ADC in conjunction with conventional imaging found to be a simple and non-invasive tool that aid in differentiation between hepatic hemangioma and metastatic deposits.

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“…Multiple screening and diagnostic tests are used to search for symptoms of prostate cancer including prostate-specific antigen (PSA) blood test [4], digital rectal examination (DRE) [5], needle biopsy [6], and magnetic resonance imaging (MRI) [7]. All these methods have recognized shortcomings.…”

Section: Introductionmentioning

confidence: 99%

“…The idea behind DW-MRI is that it generates images with contrast that reflects differences in the microscopic movement of water molecules within tissues [14]. It can distinguish between benign and suspicious prostatic lesions according to apparent diffusion coefficient (ADC) values from the signal intensity in images obtained using different b-values [7]. Several studies employed apparent diffusion coefficient (ADC) maps, which are quantitative maps calculated from DW-MRI, for PCa diagnosis [3,7,12].…”

Section: Introductionmentioning

confidence: 99%

“…It can distinguish between benign and suspicious prostatic lesions according to apparent diffusion coefficient (ADC) values from the signal intensity in images obtained using different b-values [7]. Several studies employed apparent diffusion coefficient (ADC) maps, which are quantitative maps calculated from DW-MRI, for PCa diagnosis [3,7,12]. Moreover, the acquisition of DW images does not involve injecting a human with a contrast agent, unlike DCE-MRI [15].…”

Section: Introductionmentioning

confidence: 99%

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A New Framework for Precise Identification of Prostatic Adenocarcinoma

Ayyad

Badawy

Shehata

et al. 2022

Sensors

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Prostate cancer, which is also known as prostatic adenocarcinoma, is an unconstrained growth of epithelial cells in the prostate and has become one of the leading causes of cancer-related death worldwide. The survival of patients with prostate cancer relies on detection at an early, treatable stage. In this paper, we introduce a new comprehensive framework to precisely differentiate between malignant and benign prostate cancer. This framework proposes a noninvasive computer-aided diagnosis system that integrates two imaging modalities of MR (diffusion-weighted (DW) and T2-weighted (T2W)). For the first time, it utilizes the combination of functional features represented by apparent diffusion coefficient (ADC) maps estimated from DW-MRI for the whole prostate in combination with texture features with its first- and second-order representations, extracted from T2W-MRIs of the whole prostate, and shape features represented by spherical harmonics constructed for the lesion inside the prostate and integrated with PSA screening results. The dataset presented in the paper includes 80 biopsy confirmed patients, with a mean age of 65.7 years (43 benign prostatic hyperplasia, 37 prostatic carcinomas). Experiments were conducted using different well-known machine learning approaches including support vector machines (SVM), random forests (RF), decision trees (DT), and linear discriminant analysis (LDA) classification models to study the impact of different feature sets that lead to better identification of prostatic adenocarcinoma. Using a leave-one-out cross-validation approach, the diagnostic results obtained using the SVM classification model along with the combined feature set after applying feature selection (88.75% accuracy, 81.08% sensitivity, 95.35% specificity, and 0.8821 AUC) indicated that the system’s performance, after integrating and reducing different types of feature sets, obtained an enhanced diagnostic performance compared with each individual feature set and other machine learning classifiers. In addition, the developed diagnostic system provided consistent diagnostic performance using 10-fold and 5-fold cross-validation approaches, which confirms the reliability, generalization ability, and robustness of the developed system.

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The diagnostic value of diffusion-weighted imaging in differentiating benign from malignant hepatic lesions

Cited by 8 publications

References 21 publications

Multiple Inflammatory Pseudotumors of the Liver Demonstrating Spontaneous Regression: A Case Report

Multiple Inflammatory Pseudotumors of the Liver Demonstrating Spontaneous Regression: A Case Report

Differentiation Between Hepatic Hemangioma and Metastasis by Diffusion Weighted MRI

A New Framework for Precise Identification of Prostatic Adenocarcinoma

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