{"title":"立体定向消融放疗后肝细胞癌患者计算机断层结构特征的预后价值","authors":"Yufeng Zhu, Jie He, Xingcai Luo","doi":"10.5812/iranjradiol-118338","DOIUrl":null,"url":null,"abstract":"Background: Hepatocellular carcinoma (HCC) is the sixth most common cancer worldwide. Cases of HCC in Africa and East Asia account for 80% of all HCC cases around the world. China is one of the countries with a high incidence rate of HCC. Objectives: This case-control study aimed to explore the prognostic value of computed tomography (CT) texture features in patients with HCC following stereotactic ablative radiotherapy (SABR). Patients and Methods: A total of 100 HCC patients, treated with SABR from January 2019 to January 2021, were divided into good prognosis (n = 57) and poor prognosis (n = 43) groups. The patients’ general data and CT texture features were then compared. Factors associated with a poor prognosis were investigated in a multivariate logistic regression analysis. A clinical feature model, a CT texture feature model, and a joint model of clinical features and CT texture features were established, and their prognostic values were evaluated by plotting the receiver operating characteristic (ROC) curves. Moreover, a nomogram prediction model was developed according to the multivariate analysis results, and its prediction efficiency was assessed. Results: Age ≤ 40 years, serum alpha-fetoprotein level > 9 ng/mL, gamma-glutamyl transpeptidase > 60 U/L, aspartate aminotransferase > 40 U/L, lesion size > 5 cm, unsmooth tumor margins, no tumor capsule or incomplete capsule, multiple tumors, portal phase CT value of cancer > 135%, and a relative washout ratio > -24% in the portal phase of cancer were risk factors for a poor prognosis in HCC patients after SABR. The area under the ROC curve and sensitivity and specificity of the joint model were 0.817 (95% confidence interval [CI]: 0.773 - 0.861, P < 0.001), 80.47%, and 91.05%, respectively, which significantly exceeded those of the other two models. The nomogram prediction model showed high accuracy and validity. Conclusion: The texture features of CT images before SABR are of a high prognostic value for HCC patients and contribute to the selection of appropriate treatment protocols.","PeriodicalId":50273,"journal":{"name":"Iranian Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":0.2000,"publicationDate":"2022-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prognostic Value of Computed Tomography Texture Features in Patients with Hepatocellular Carcinoma Following Stereotactic Ablative Radiotherapy\",\"authors\":\"Yufeng Zhu, Jie He, Xingcai Luo\",\"doi\":\"10.5812/iranjradiol-118338\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: Hepatocellular carcinoma (HCC) is the sixth most common cancer worldwide. Cases of HCC in Africa and East Asia account for 80% of all HCC cases around the world. China is one of the countries with a high incidence rate of HCC. Objectives: This case-control study aimed to explore the prognostic value of computed tomography (CT) texture features in patients with HCC following stereotactic ablative radiotherapy (SABR). Patients and Methods: A total of 100 HCC patients, treated with SABR from January 2019 to January 2021, were divided into good prognosis (n = 57) and poor prognosis (n = 43) groups. The patients’ general data and CT texture features were then compared. Factors associated with a poor prognosis were investigated in a multivariate logistic regression analysis. A clinical feature model, a CT texture feature model, and a joint model of clinical features and CT texture features were established, and their prognostic values were evaluated by plotting the receiver operating characteristic (ROC) curves. Moreover, a nomogram prediction model was developed according to the multivariate analysis results, and its prediction efficiency was assessed. Results: Age ≤ 40 years, serum alpha-fetoprotein level > 9 ng/mL, gamma-glutamyl transpeptidase > 60 U/L, aspartate aminotransferase > 40 U/L, lesion size > 5 cm, unsmooth tumor margins, no tumor capsule or incomplete capsule, multiple tumors, portal phase CT value of cancer > 135%, and a relative washout ratio > -24% in the portal phase of cancer were risk factors for a poor prognosis in HCC patients after SABR. The area under the ROC curve and sensitivity and specificity of the joint model were 0.817 (95% confidence interval [CI]: 0.773 - 0.861, P < 0.001), 80.47%, and 91.05%, respectively, which significantly exceeded those of the other two models. The nomogram prediction model showed high accuracy and validity. Conclusion: The texture features of CT images before SABR are of a high prognostic value for HCC patients and contribute to the selection of appropriate treatment protocols.\",\"PeriodicalId\":50273,\"journal\":{\"name\":\"Iranian Journal of Radiology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.2000,\"publicationDate\":\"2022-05-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Iranian Journal of Radiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.5812/iranjradiol-118338\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Iranian Journal of Radiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.5812/iranjradiol-118338","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
Prognostic Value of Computed Tomography Texture Features in Patients with Hepatocellular Carcinoma Following Stereotactic Ablative Radiotherapy
Background: Hepatocellular carcinoma (HCC) is the sixth most common cancer worldwide. Cases of HCC in Africa and East Asia account for 80% of all HCC cases around the world. China is one of the countries with a high incidence rate of HCC. Objectives: This case-control study aimed to explore the prognostic value of computed tomography (CT) texture features in patients with HCC following stereotactic ablative radiotherapy (SABR). Patients and Methods: A total of 100 HCC patients, treated with SABR from January 2019 to January 2021, were divided into good prognosis (n = 57) and poor prognosis (n = 43) groups. The patients’ general data and CT texture features were then compared. Factors associated with a poor prognosis were investigated in a multivariate logistic regression analysis. A clinical feature model, a CT texture feature model, and a joint model of clinical features and CT texture features were established, and their prognostic values were evaluated by plotting the receiver operating characteristic (ROC) curves. Moreover, a nomogram prediction model was developed according to the multivariate analysis results, and its prediction efficiency was assessed. Results: Age ≤ 40 years, serum alpha-fetoprotein level > 9 ng/mL, gamma-glutamyl transpeptidase > 60 U/L, aspartate aminotransferase > 40 U/L, lesion size > 5 cm, unsmooth tumor margins, no tumor capsule or incomplete capsule, multiple tumors, portal phase CT value of cancer > 135%, and a relative washout ratio > -24% in the portal phase of cancer were risk factors for a poor prognosis in HCC patients after SABR. The area under the ROC curve and sensitivity and specificity of the joint model were 0.817 (95% confidence interval [CI]: 0.773 - 0.861, P < 0.001), 80.47%, and 91.05%, respectively, which significantly exceeded those of the other two models. The nomogram prediction model showed high accuracy and validity. Conclusion: The texture features of CT images before SABR are of a high prognostic value for HCC patients and contribute to the selection of appropriate treatment protocols.
期刊介绍:
The Iranian Journal of Radiology is the official journal of Tehran University of Medical Sciences and the Iranian Society of Radiology. It is a scientific forum dedicated primarily to the topics relevant to radiology and allied sciences of the developing countries, which have been neglected or have received little attention in the Western medical literature.
This journal particularly welcomes manuscripts which deal with radiology and imaging from geographic regions wherein problems regarding economic, social, ethnic and cultural parameters affecting prevalence and course of the illness are taken into consideration.
The Iranian Journal of Radiology has been launched in order to interchange information in the field of radiology and other related scientific spheres. In accordance with the objective of developing the scientific ability of the radiological population and other related scientific fields, this journal publishes research articles, evidence-based review articles, and case reports focused on regional tropics.
Iranian Journal of Radiology operates in agreement with the below principles in compliance with continuous quality improvement:
1-Increasing the satisfaction of the readers, authors, staff, and co-workers.
2-Improving the scientific content and appearance of the journal.
3-Advancing the scientific validity of the journal both nationally and internationally.
Such basics are accomplished only by aggregative effort and reciprocity of the radiological population and related sciences, authorities, and staff of the journal.