| Literature DB >> 35968241 |
Quan Yuan1, Canxu Song1, Yan Tian1, Nan Chen2, Xing He1, Ying Wang1, Pihua Han2.
Abstract
The incidence of cancer is increasing today, particularly lung and chest cancer. Employing novel methods to detect cancer in its earliest stages and discover painless, noninvasive treatments are urgently needed. The goal of the proposed study is to investigate the value of automated breast volume scanning (ABUS) in conjunction with contrast-enhanced ultrasonography (CEUS) in properly diagnosing breast cancer in its early stages and the effectiveness of neoadjuvant chemotherapy (NAC) in treating the disease. For the research study, information on 98 patients who had NAC and surgery in the breast surgery department of the Shaanxi Provincial Cancer Hospital has been gathered. All patients have received four cycles of NAC and underwent conventional ultrasound (HUSS), CEUS, ABUS, and pathological examination. At the same time, receiver operating characteristic (ROC) curve analysis, single factor, multiple linear regression, and other methods have also been used to analyze the diagnostic efficacy of breast cancer and NAC efficacy evaluation results. The study of this paper is totally based on the data collected from Shaanxi Provincial Cancer Hospital. The statistical and computational analyses are performed on the data collected for drawing inferences. When the findings are compared to the results of the pathological examination, HUSS has demonstrated a significant distinction between benign and malignant diagnoses with a statistical value of P < 0.05.ABUS combined with CEUS has shown no considerable differences in correlation study. Except for negative likelihood ratio, the diagnostic performance indexes of CEUS+ ABUS are substantially higher than HHUS with P < 0.05. ROC curve analysis is also performed which shows that CEUS and ABUS combination has higher precision in the analysis of breast cancer. ABUS pooled with CEUS shows great application value in the judgment of breast cancer as per the results obtained from the statistical analysis on data of 98 patients.Entities:
Mesh:
Year: 2022 PMID: 35968241 PMCID: PMC9365610 DOI: 10.1155/2022/3199884
Source DB: PubMed Journal: Biomed Res Int Impact factor: 3.246
Pathological grading standards.
| Grade | The symptom manifestations |
|---|---|
| 1st grade | The infiltrating cells did not change or only a few cells did, and the total number of cells remained the same. |
| 2nd grade | The amount of invasive cancer cells reduced somewhat, but the total amount of cancer cells remained high, with a reduction of no more than 30%. |
| 3rd grade | Between 30% and 90% fewer cancer cells were seen. |
| 4th grade | More than 90% of the cancer cells were eliminated, leaving only a few small clusters and solitary cells. |
| 5th grade | The main tumor bed lacked infiltrating cancer cells, yet there may be mammary carcinoma in situ.. |
Efficacy evaluation criteria for solid tumors.
| Grading of efficacy | Standard |
|---|---|
| CR | Entirely tumor lesions vanished |
| PR | Target lesions' longest diameters added together were decreased by 30%. |
| SD | The lesion changes were between PR and PD |
| PD | The development of new lesions, a 20% rise in the aggregate of the biggest widths of target lesions, or a clear development of nontarget lesions |
Figure 1Pathological examination results.
Figure 2Diagnostic results of breast tumor by two methods. Note: compared with pathological examination, ∗P < 0.05.
Figure 3Comparison of diagnostic efficiency. Note: (a) diagnostic effectiveness and (b) the ROC curve; compared with HHUS, ∗P < 0.05.
Figure 4The maximum diameter of malignant tumor. Note: (a) maximum diameter of tumor and (b) accuracy of maximum diameter measurement; compared with pathological examination, P < 0.05; compared with HHUS, P < 0.05.
Figure 5Consistency evaluation of the two methods for tumor diagnosis.
Figure 6Efficacy evaluation results of NAC. Note: compared with pathological examination, ∗P < 0.05.