Abstract
This study was aimed to explore the diagnostic features of magnetic resonance imaging (MRI) on hepatocellular carcinoma (HCC) and hepatic cavernous hemangioma (HCH). A fireworks algorithm optimization (FAO) was proposed based on the fireworks algorithm (FA), and it was compared with the maximum between-class variance method (OTSU) and the maximum entropy threshold method (KSW) for analysis. In addition, it was applied to the diagnosis of MRI images of 55 HCC patients in the experimental group (group E) and 55 HCH patients in the control group (group C). It was found that the FAO showed a greatly lower difference function (DF) and a shorter running time in contrast to the OTSU and KSW algorithms (P < 0.05); the diagnostic accuracy (DA) of the T1-weighted image (T1WI) for patients in groups E and C was 85.31% and 95.85%, respectively, and the DA of the T2-weighted image (T2WI) was 97.84% (group E) and 89.71% (group C), respectively. In short, FAO showed an excellent performance in segmentation and reconstruction of MRI images for liver tissue, and T1WI and T2WI of MRI images showed high accuracy in diagnosing the HCC and HCH, respectively.
Highlights
hepatocellular carcinoma (HCC) is one of the main malignant tumors causing cancer deaths worldwide and the main cause of death in patients with liver cirrhosis
An fireworks algorithm optimization (FAO) was proposed by optimizing the fireworks algorithm (FA), and it was applied in the magnetic resonance imaging (MRI) image diagnosis of 55 HCC patients in group E and 55 hepatic cavernous hemangioma (HCH) patients in group C. e general information, lesion distribution, different sequence types, and diagnostic accuracy (DA) of two groups of patients were compared so as to discuss the clinical characteristics of MRI images of HCC and HCH
E FAO constructed was applied to the MRI image diagnosis of 55 HCC cases and 55 HCH cases. e results showed that the number of patients with lesions at the left, right, and junction of two liver lobes was not so different with that in group C (P > 0.05), indicating that the distribution of HCC and HCH showed no great difference. e number of cases with T1-weighted image (T1WI) sequence low signal in group E was much less, and the number of patients with equal and confounding signal was extremely more (P < 0.05)
Summary
HCC is one of the main malignant tumors causing cancer deaths worldwide and the main cause of death in patients with liver cirrhosis. It is the most common type of primary liver cancer [1, 2]. E most common clinical symptoms of HCC are liver pain, hepatomegaly, jaundice, signs of liver cirrhosis, systemic manifestations (such as weight loss, fever, loss of appetite, fatigue, and malnutrition), and even cachexia in severe cases [3]. HCH is often seen in B-ultrasound or during abdominal surgery, and there is no obvious clinical phenomenon in general patients. When the tumor is large or the tumor grows rapidly, will the abdominal mass, gastrointestinal discomfort, tumor rupture and bleeding, rapid growth of intratumoral bleeding, giant hemangioma, accompanied by thrombocytopenia and systemic bleeding tendency, and other related symptoms be found [6]. erefore, if HCC and HCH are accurately identified, it is a hotspot in clinical practice
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