Development of a classification method for mild liver fibrosis using non-contrast CT image

Hirano, Ryo; Rogalla, Patrik; Farrell, Christin; Hoppel, Bernice; Fujisawa, Yasuko; Ohyu, Shigeharu; Hattori, Chihiro; Sakaguchi, Takuya

doi:10.1007/s11548-022-02724-x

Cited by 3 publications

(3 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The newest research by Hirano et al. [83] showed that CT image texture features combined with logistic regression with L2‐norm regularization could be used to detect liver fibrosis. Deep learning methods based on CT have been shown to be effective in staging liver fibrosis [84‐87].…”

Section: Artificial Intelligence Based On Imaging For Diffuse Liver D...mentioning

confidence: 99%

“…CT texture analysis metrics and software iRADIOLOGY platforms differ widely, and therefore further study and standardization of CT methodology are needed. The newest research by Hirano et al [83] showed that CT image texture features combined with logistic regression with L2-norm regularization could be used to detect liver fibrosis. Deep learning methods based on CT have been shown to be effective in staging liver fibrosis [84][85][86][87].…”

Section: Application Of Ai Based On Ctmentioning

confidence: 99%

See 1 more Smart Citation

Radiobioinformatics: A novel bridge between basic research and clinical practice for clinical decision support in diffuse liver diseases

Lei

et al. 2023

iRADIOLOGY

View full text Add to dashboard Cite

The liver is a multifaceted organ that is responsible for many critical functions encompassing amino acid, carbohydrate, and lipid metabolism, all of which make a healthy liver essential for the human body. Contemporary imaging methodologies have remarkable diagnostic accuracy in discerning focal liver lesions; however, a comprehensive understanding of diffuse liver diseases is a requisite for radiologists to accurately diagnose or predict the progression of such lesions within clinical contexts. Nonetheless, the conventional attributes of radiological features, including morphology, size, margin, density, signal intensity, and echoes, limit their clinical utility. Radiomics is a widely used approach that is characterized by the extraction of copious image features from radiographic depictions, which gives it considerable potential in addressing this limitation. It is worth noting that functional or molecular alterations occur significantly prior to the morphological shifts discernible by imaging modalities. Consequently, the explication of potential mechanisms by multiomics analyses (encompassing genomics, epigenomics, transcriptomics, proteomics, and metabolomics) is essential for investigating putative signal pathway regulations from a radiological viewpoint. In this review, we elaborate on the principal pathological categorizations of diffuse liver diseases, the evaluation of multiomics approaches pertaining to diffuse liver diseases, and the prospective value of predictive models. Accordingly, the overarching objective of this review is to scrutinize the interrelations between radiological features and bioinformatics as well as to consider the development of prediction models predicated on radiobioinformatics as integral components of clinical decision support systems for diffuse liver diseases.

show abstract

Section: Artificial Intelligence Based On Imaging For Diffuse Liver D...mentioning

confidence: 99%

Section: Application Of Ai Based On Ctmentioning

confidence: 99%

Radiobioinformatics: A novel bridge between basic research and clinical practice for clinical decision support in diffuse liver diseases

Lei

et al. 2023

iRADIOLOGY

View full text Add to dashboard Cite

show abstract

“…Ryo Hirano и соавт. разработали неинвазивный метод классификации заболеваний печени c помощью нативной КТ на основании деления категорий пациентов с фиброзом (F1-F4) и без него (F0), где предлагаемый метод способен выявить фиброз у бессимптомных пациентов [10].…”

unclassified

Role of perfusion computed tomography for diagnostic intermediate stages of fibrosis in diffuse liver diseases: prospective study

Ioppa

Zavadovskaya

Тонких

2023

Lučevaâ diagn. ter.

View full text Add to dashboard Cite

INTRODUCTION: Despite the wide availability of the use of ultrasonic elastography to assess fibrosis in patients with diffuse liver diseases, this method didn’t have a high specificity for diagnosing intermediate stages of fibrosis.OBJECTIVE: To evaluate the diagnostic effectiveness of perfusion computed tomography (PCT) for detecting intermediate stages of fibrosis in patients with diffuse liver diseases.MATERIALS AND METHODS: PCT of the liver was performed in 73 patients (37 men, 36 women, mean age 47.2±4.4 years). All patients underwent a biochemical blood test, ultrasound elastography, PCT, based on the obtained biochemical blood test and instrumental data, the examined patients were divided into three groups depending on diffuse liver disease: hepatitis (n=25), cirrhosis (n=26), non-alcoholic inflammatory liver disease (n=22). Statistics: The results were processed using the Statistica 10.0 for Windows software package. Identification of the relationship between two quantitative variables that do not obey the normal distribution law was carried out using the Spearman rank correlation coefficient. To assess the diagnostic efficiency of perfusion parameters in patients with DLD, an ROC-analysis (Receiver Operating Characteristic Analysis) was performed. In all statistical analysis procedures, changes were considered statistically significant at a significance level of p<0.05. RESULTS: BV correlated in all three groups of diseases with the elastography in patients with viral hepatitis — (r=–0.5; p><0.04), in patients with alcoholic cirrhosis (r=0.66; p><0.02), in patients with non-alcoholic inflammatory liver disease (r=–0.55; p><0.02). In patients with alcoholic hepatitis — correlation between HAF and elastography index (r=0.98; p><0.001), with viral hepatitis — HAF and elastography index (r=0.66; p><0.01). MTT was statistically correlated with elastography index in patients in the alcoholic cirrhosis group (r=0.78; p><0.006). The BF had the highest diagnostic effectiveness for differentiating F1 and F2 fibrosis in patients with diffuse liver diseases (p><0.0001). DISCUSSION: PCT is able to differentiate between minimal and intermediate fibrosis, which accompany not only hepatitis, but also non-alcoholic fatty liver disease, whose diagnosis is very relevant, and the use of ultrasound elastography is limited. CONCLUSION: The BF promotes to the differentiation of intermediate stages of fibrosis, and in combination with ultrasonic elastography can provide a promising direction for the dynamic monitoring of the parenchyma in patients with diffuse liver diseases.> p<0.05.RESULTS: BV correlated in all three groups of diseases with the elastography in patients with viral hepatitis — (r=–0.5; p<0.04), in patients with alcoholic cirrhosis (r=0.66; p><0.02), in patients with non-alcoholic inflammatory liver disease (r=–0.55; p<0.02). ><0.02). In patients with alcoholic hepatitis — correlation between HAF and elastography index (r=0.98; p<0.001), with viral hepatitis — HAF and elastography index (r=0.66; p><0.01). MTT was statistically correlated with elastography index in patients in the alcoholic cirrhosis group (r=0.78; p<0.006). The BF had the highest diagnostic effectiveness for differentiating F1 and F2 fibrosis in patients with diffuse liver diseases (p><0.0001). >p<0.006). The BF had the highest diagnostic effectiveness for differentiating F1 and F2 fibrosis in patients with diffuse liver diseases (p<0.0001). ><0.0001).DISCUSSION: PCT is able to differentiate between minimal and intermediate fibrosis, which accompany not only hepatitis, but also non-alcoholic fatty liver disease, whose diagnosis is very relevant, and the use of ultrasound elastography is limited.CONCLUSION: The BF promotes to the differentiation of intermediate stages of fibrosis, and in combination with ultrasonic elastography can provide a promising direction for the dynamic monitoring of the parenchyma in patients with diffuse liver diseases.

show abstract

Advancements of non‐invasive imaging technologies for the diagnosis and staging of liver fibrosis: Present and future

Huang,

Peng,

Kang

2024

VIEW

View full text Add to dashboard Cite

Liver fibrosis is a reparative response triggered by liver injury. Non‐invasive assessment and staging of liver fibrosis in patients with chronic liver disease are of paramount importance, as treatment strategies and prognoses depend significantly on the degree of fibrosis. Although liver fibrosis has traditionally been staged through invasive liver biopsy, this method is prone to sampling errors, particularly when biopsy sizes are inadequate. Consequently, there is an urgent clinical need for an alternative to biopsy, one that ensures precise, sensitive, and non‐invasive diagnosis and staging of liver fibrosis. Non‐invasive imaging assessments have assumed a pivotal role in clinical practice, enjoying growing popularity and acceptance due to their potential for diagnosing, staging, and monitoring liver fibrosis. In this comprehensive review, we first delved into the current landscape of non‐invasive imaging technologies, assessing their accuracy and the transformative impact they have had on the diagnosis and management of liver fibrosis in both clinical practice and animal models. Additionally, we provided an in‐depth exploration of recent advancements in ultrasound imaging, computed tomography imaging, magnetic resonance imaging, nuclear medicine imaging, radiomics, and artificial intelligence within the field of liver fibrosis research. We summarized the key concepts, advantages, limitations, and diagnostic performance of each technique. Finally, we discussed the challenges associated with clinical implementation and offer our perspective on advancing the field, hoping to provide alternative directions for the future research.

show abstract

Development of a classification method for mild liver fibrosis using non-contrast CT image

Cited by 3 publications

References 27 publications

Radiobioinformatics: A novel bridge between basic research and clinical practice for clinical decision support in diffuse liver diseases

Radiobioinformatics: A novel bridge between basic research and clinical practice for clinical decision support in diffuse liver diseases

Role of perfusion computed tomography for diagnostic intermediate stages of fibrosis in diffuse liver diseases: prospective study

Advancements of non‐invasive imaging technologies for the diagnosis and staging of liver fibrosis: Present and future

Contact Info

Product

Resources

About