|Table of Contents|

The clinical value of distinguishing parotid pleomorphic adenoma and adenolymphoma based on the intratumoral and peritumoral CT radiomics models

Journal Of Modern Oncology[ISSN:1672-4992/CN:61-1415/R]

Issue:
2023 18
Page:
3461-3467
Research Field:
Publishing date:

Info

Title:
The clinical value of distinguishing parotid pleomorphic adenoma and adenolymphoma based on the intratumoral and peritumoral CT radiomics models
Author(s):
LIU Qifeng; DING Zhimin; YAO Qi; CHEN Peng; ZHOU Yanyan; ZHANG Chengmeng
Department of Radiology,Yijishan Hospital of Wannan Medical College,Anhui Wuhu 241001,China.
Keywords:
pleomorphic adenoma; adenolymphoma; intratumour; peritumor; radiomic; computed tomography
PACS:
R730.4
DOI:
10.3969/j.issn.1672-4992.2023.18.024
Abstract:
Objective:To investigate the value of intratumoral and peritumoral radiomic features combined with clinical factors in distinguishing parotid pleomorphic adenoma（PA） and adenolymphoma（AL）.Methods:The clinical data and radiological images of 220 patients with PA and AL proved by operation and pathology in our hospital from July 2015 to October 2022 were retrospectively analyzed.Region of interest (ROI) of the tumors were delineated layer by layer in the CT plain scan images and the ROI of the peritumoral region was obtained by conformal outward expansion of 3 mm.The software of FAE was used to extract the radiomics features of the different regions,and LR-LASSO（logistic regression via least absoulute shrinkage and selection operator） was used to construct the intratumoral,peritumoral and intratumoral+peritumoral radiomics models respectively.The performance of the models were assessed by the receiver operating characteristic curve and area under the curve (AUC),and the dominant imaging radiomics model was combined with clinically independent predictors to construct a combined model and then plot a nomogram.Results:The diagnostic efficacy of the intratumoral+peritumoral radiomics models was higher than that of the intratumoral radiomics models.The combined model which include age,gender and smoking history was significantly better than the clinical and radiomics models,the AUC of the training and test groups was 0.965 and 0.961 respectively,and achieved the highest clinical utility.Conclusion:The CT scan-based radiomics model which included intratumoral+peritumoral radiomics features can effectively differentiate PA from AL,and the diagnostic efficacy is further improved by combining clinically independent predictors.

References:

［1］SUZUKI S,BANDOH N,GOTO T,et al.A retrospective study of parotid gland tumors at a single institution［J］.Oncology Letters,2022,24(1):1-9.
［2］VALSTAR MH,MAST H,TEN HOVE I,et al.Malignant transformation of salivary gland pleomorphic adenoma:proof of principle［J］.The Journal of Pathology:Clinical Research,2021,7(5):432-437.
［3］QUER M,HERNANDEZ-PRERA JC,SILVER CE,et al.Current trends and controversies in the management of warthin tumor of the parotid gland［J］.Diagnostics,2021,11(8):1467.
［4］吴艳,谢元亮,张树桐,等.基于T2WI影像组学及联合诊断模型鉴别腮腺多形性腺瘤与腺淋巴瘤［J］.放射学实践,2020,35(12):1525-1531.WU Y,XIE YL,ZHANG ST,et al.Radiomic analysis based on MR-T2WI and combined diagnostic model for identification of pleomorphic adenoma from adenolymphoma of parotid gland［J］.Radiologic Practice,2020,35(12):1525-1531.
［5］FENG B,WANG Z,CUI J,et al.Distinguishing parotid polymorphic adenoma and Warthin tumor based on the CT radiomics nomogram:A multicenter study ［J］.Acad Radiol,2023,30(4):717-726.
［6］ZHENG Y,CHEN J,XU Q,et al.Development and validation of an MRI-based radiomics nomogram for distinguishing Warthin’s tumour from pleomorphic adenomas of the parotid gland［J］.Dentomaxillofacial Radiology,2021,50(7):20210023.
［7］KIM Y,STOLARSKA MA,OTHMER HG.The role of the microenvironment in tumor growth and invasion［J］.Progress in Biophysics and Molecular Biology,2011,106(2):353-379.
［8］陈小波,郭馨雨,于哲轩,等.不同联合方式的瘤内与瘤周影像组学特征对肺腺癌的诊断价值研究［J］.中国医学计算机成像杂志,2021,27(4):289-295.CHEN XB,GUO XY,YU ZX,et al.The diagnostic value of different combinations of intra- and peri-nodular radiomic features for lung adenocarcinoma［J］.Chinese Computed Medical Imaging,2021,27(4):289-295.
［9］柴亚婷,李淑,姜星原,等.含瘤周组织的影像组学特征与临床标签的联合模型预测T1期非小细胞肺癌淋巴结转移［J］.中国临床医学影像杂志,2021,32(7):470-475.CHAI YT,LI S,JIANG XY,et al.The combined model of intratumoral and peritumoral radiomic features and clinical signatures predicting the lymph node metastasis in stage T1 non-small cell lung cancer［J］.Journal of China Clinic Medical Imaging,2021,32(7):470-475.
［10］CHENG PC,CHANG CM,HUANG CC,et al.The diagnostic performance of ultrasonography and computerized tomography in differentiating superficial from deep lobe parotid tumours［J］.Clinical Otolaryngology,2019,44(3):286-292.
［11］XU W,ZHANG X,WU Y,et al.Recurrent pleomorphic adenoma of the parotid gland:A population-based study with emphasis on re-recurrence and malignant transformation［J］.Head & Neck,2023,45(3):697-705.
［12］VOGL TJ,ALBRECHT MH,NOUR-ELDIN NA,et al.Assessment of salivary gland tumors using MRI and CT:impact of experience on diagnostic accuracy［J］.La Radiologia Medica,2018,123(2):105-116.
［13］KOLESNIKOFF N,CHEN CH,SAMUEL MS.Interrelationships between the extracellular matrix and the immune microenvironment that govern epithelial tumour progression［J］.Clinical Science,2022,136(5):361-377.
［14］NISTIC P,CILIBERTO G.Biological mechanisms linked to inflammation in cancer:Discovery of tumor microenvironment-related biomarkers and their clinical application in solid tumors［J］.The International Journal of Biological Markers,2020,35(1_suppl):8-11.
［15］BEIG N,KHORRAMI M,ALILOU M,et al.Perinodular and intranodular radiomic features on lung CT images distinguish adenocarcinomas from granulomas［J］.Radiology,2019,290(3):783-792.
［16］MA Y,XU X,PANG P,et al.A CT-based tumoral and mini-peritumoral radiomics approach:Differentiate fat-poor angiomyolipoma from clear cell renal cell carcinoma［J］.Cancer Management and Research,2021,13:1417-1425.
［17］袁媛,李振凯,杜红娣,等.MRI瘤周影像组学鉴别高级别胶质瘤与脑内单发转移瘤的应用价值［J］.现代肿瘤医学,2023,31(06):1103-1107.YUAN Y,LI ZK,DU HD,et al.Application value of MRI peritumoral radiomics features in differentiation between high-grade glioblastoma and single brain metastasis［J］.Modern Oncology,2023,31(06):1103-1107.
［18］TANG X,HUANG H,DU P,et al.Intratumoral and peritumoral CT-based radiomics strategy reveals distinct subtypes of non-small-cell lung cancer［J］.Journal of Cancer Research and Clinical Oncology,2022,148(9):2247-2260.
［19］WU S,ZHANG N,WU Z,et al.Can peritumoral radiomics improve the prediction of malignancy of solid pulmonary nodule smaller than 2 cm［J］.Academic Radiology,2022,29(Suppl 2):S47-S52.
［20］DOU TH,COROLLER TP,VANGRIETHUYSEN JJM,et al.Peritumoral radiomics features predict distant metastasis in locally advanced NSCLC［J］.PLoS One,2018,13(11):e0206108.
［21］陈巧玲,冯峰,李曼曼,等.联合含瘤周肿瘤全体积CT影像组学特征及临床相关独立预测因子列线图预测肺腺癌淋巴血管侵犯［J］.中国医学影像技术,2022,38(8):1181-1186.CHEN QL,FENG F,LI MM,et al.Nomogram based on CT radiomics features of gross peritumoral tumor volume and clinical relevant independent predictors for predicting lymphovascular invasion of lung adenocarcinoma［J］.Chinese Journal of Medical Imaging Technology,2022,38(8):1181-1186.
［22］TUN O,GNLDA�瘙塁 B,ARSLANHAN Y,et al.Change in Warthin’s tumor incidence:a 20-year joinpoint trend analysis［J］.European Archives of Oto-Rhino-Laryngology,2020,277(12):3431-3434.
［23］王娟,朱止平,李振玉,等.腮腺多形性腺瘤与沃辛瘤的CT特征［J］.肿瘤影像学,2022,31(1):69-73.WANG J,ZHU ZP,LI ZY,et al.CT features of parotid pleomorphic adenoma and Warthin tumor［J］.Oncoradiology,2022,31(1):69-73.

Memo

Memo:
安徽省卫生健康科研项目(编号：AHWJ2022b044)；安徽省教育厅2022年度新时代育人质量工程项目（研究生教育）(编号：2022zyxwjxalk165)；皖南医学院第一附属医院（弋矶山医院）引进人才专项科研基金(编号：YR20220219)
Last Update: 1900-01-01