Prediction of insufficient hepatic enhancement during the Hepatobiliary phase of Gd-EOB DTPA-enhanced MRI using machine learning classifier and feature selection algorithms

Ko, Ji Su; Byun, Jieun; Park, Seongkeun; Woo, Ji Young

doi:10.1007/s00261-021-03308-0

Cited by 11 publications

(7 citation statements)

References 29 publications

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“…e model parameters only need a small memory space and are more suitable for mobile phone and other energy constrained platforms. Several typical CNNs are introduced and analyzed below [13]. Google inception V1 was proposed by Google in 2014.…”

Section: Methodsmentioning

confidence: 99%

High-Precision Target Detection of Remote Sensing Image Based on Feature Enhancement with 6G Technology

Chen

2022

Advances in Multimedia

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We provide remote sensing image enhancement technology based on 6G nursing urine technology to solve the main problems and current challenges of target detection in remote sensing imaging. High-resolution images: to get a good image, first look at the remote control image, and objective findings on the remote control image play an important role in this process. Military and civilian use: at present, many advanced object detection algorithms have achieved success in natural imaging, but their development is limited by two factors: large variation in object size and low detection accuracy, the scale, rotation direction, and distribution density of remote sensing images. On the other hand, the first remote sensing image is usually a high-resolution, large-scale image, which requires more time than blank image detection. The model is fine-tuned on the ICDAR2015 training package for 60,000 repetitions. The same model experimentally reduced the image to 1280 × 768 and displayed the results in one dimension. Therefore, in order to solve the problem of low detection due to changes in azimuth, rotation direction, and velocity distribution, it is necessary to further study methods for detecting large-capacity remote sensing objects using abundant high-precision remote sensing technologies, sensing imaging service on remote sensing maps.

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Section: Methodsmentioning

confidence: 99%

High-Precision Target Detection of Remote Sensing Image Based on Feature Enhancement with 6G Technology

Chen

2022

Advances in Multimedia

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“…11 ). 62 , 63 In such cases, contrast-enhanced CT or MRI with GBCAs may be more useful for the diagnosis of focal liver lesions. Usually in the HBP, the liver parenchyma shows marked higher signal intensity than the portal vein or spleen.…”

Section: Clinical Needs For Focal Liver Lesionsmentioning

confidence: 99%

Clinical Significance of Liver MR Imaging

Ichikawa

Goshima

2023

magn reson med sci

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MRI is widely used in clinical practice for detecting liver diseases. Since the introduction of gadoxetic acid, MRI has become the most effective modality for the detection and characterization of focal liver lesions. According to previous meta-analyses, the area under the receiver operating characteristic curve (AUROC) was 0.97–0.99 for the diagnosis of small hepatocellular carcinoma (≥ 2 cm) by gadoxetic-acid-enhanced MRI. Moreover, the AUROC for the diagnosis of colorectal liver metastases was significantly high (0.98). Despite gadoxetic acid’s drawbacks, its clinical utility outweighs them, making it the contrast agent of choice in routine liver MRIs. Moreover, clinically, liver MRI has become more prevalent for a quantitative assessment. Liver fibrosis can be evaluated using MR elastography; whereas, hepatic steatosis and iron overload can be evaluated using proton density fat fraction, with high accuracy and reproducibility. This article reviewed the usefulness of liver MRI, which can be a comprehensive imaging modality in clinical practice.

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“…In case of severe liver dysfunction, there is inadequate enhancement in the HBP due to the reduced uptake of GA. 63,64 Poor uptake of GA by hepatocytes leads to an insufficient signal increase in the liver, thereby reducing the contrast of lesions that do not take up GA. Consequently, this effect reduces the detectability of these lesions. In such patients, dynamic CT or dynamic MRI with GBCAs may yield better results than GA-MRI due to the ineffectiveness of the HBP, which is the primary benefit of GA-MRI (Fig.…”

Section: When the Liver Function Is Significantly Impaired Or In The ...mentioning

confidence: 99%

“…In case of severe liver dysfunction, there is inadequate enhancement in the HBP due to the reduced uptake of GA 63,64 . Poor uptake of GA by hepatocytes leads to an insufficient signal increase in the liver, thereby reducing the contrast of lesions that do not take up GA. Consequently, this effect reduces the detectability of these lesions.…”

Section: Ga or Extracellular Gbcas?mentioning

confidence: 99%

Gadoxetic Acid–Enhanced Liver MRI

Ichikawa

Goshima

2023

Invest Radiol

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Since its introduction in the worldwide medical market, gadoxetic acid has attracted considerable interest. The year 2023 marks the 15th anniversary of the introduction of gadoxetic acid in Japan. Gadoxetic acid–enhanced magnetic resonance imaging (GA-MRI) is the predominantly performed contrast MRI examination for the liver. Its most essential characteristic, namely, the hepatobiliary phase, revolutionized the clinical management of liver disease. Gadoxetic acid–enhanced MRI is currently the most efficient method for focal liver lesion detection and analysis. Meta-analyses demonstrated its excellent effectiveness for the diagnosis of hepatocellular carcinoma and liver metastases. Owing to the extensive usage of gadoxetic acid, a hepatobiliary phase hypointense nodule without arterial phase hyperenhancement is well documented. The existence of such nodules may be a sign of hypervascular hepatocellular carcinoma in nodules and other areas in the liver. Apart from its role in tumor identification and characterization, GA-MRI can help assess response to therapy and liver fibrosis. Therefore, it is proposed to use gadoxetic acid as the first option for MRI of the liver in the majority of patients. The efficacy of gadoxetic acid surpasses its disadvantages, rendering this contrast agent the preferred choice for routine MRI of the liver. The clinical use of GA-MRI is discussed in this review article.

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Prediction of insufficient hepatic enhancement during the Hepatobiliary phase of Gd-EOB DTPA-enhanced MRI using machine learning classifier and feature selection algorithms

Cited by 11 publications

References 29 publications

High-Precision Target Detection of Remote Sensing Image Based on Feature Enhancement with 6G Technology

High-Precision Target Detection of Remote Sensing Image Based on Feature Enhancement with 6G Technology

Clinical Significance of Liver MR Imaging

Gadoxetic Acid–Enhanced Liver MRI

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