|Table of Contents|

The value of synthetic MRI quantitative histogram features in predicting axillary lymph node metastases of breast cancer

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

Issue:
2025 01
Page:
96-101
Research Field:
Publishing date:

Info

Title:
The value of synthetic MRI quantitative histogram features in predicting axillary lymph node metastases of breast cancer
Author(s):
WANG Lingting; ZHOU Zhipeng; YU Xueyan; LIU Jiangjing
Department of Radiology,the Affiliated Hospital of Guilin Medical University,Guangxi Guilin 541000,China.
Keywords:
breast cancer; synthetic MRI; lymph nodes; ADC; histogram features
PACS:
R737.9
DOI:
10.3969/j.issn.1672-4992.2025.01.016
Abstract:
Objective:To investigate the potential value of synthetic MRI is based on the ALN itself quantitative histogram features in predicting axillary lymph node metastasis(ALNM) of breast cancer,and to compare its predictive efficacy with conventional imaging features and ADC value quantitative histogram features.Methods:A total of 104 breast axillary lymph nodes(45 in the ALNM group and 59 in the non-ALNM group) were included.All patients underwent complete breast MR examination,including synthetic MRI,DWI and DCE MRI.PyRadiomics software was used to extract the quantitative histogram features of synthetic MRI and ADC.Chi-square test,independent sample t test and Mann-Whitney U test were used to compare the histogram features of synthetic MRI T1,T2 and proton density(PD),ADC values and the differences of image signs on DCE-MRI between the ALNM group and the non-ALNM group.The parameters with statistically significant differences were included in multivariate logistic regression analysis,and the area under the curve(AUC) of ROC was used to evaluate the diagnostic performance of the above variables in predicting axillary lymph node metastasis status of breast cancer.Resulsts:The T2-minimum value, ADC-10th and lymph node DCE-MRI image sign(short diameter) in synthetic MRI were independent predictors for differentiating axillary lymph node metastasis of breast cancer(P values were 0.041,0.022,0.023,respectively).However,the prediction model established by T2-minimum value has better diagnostic efficiency［0.765(95%CI:0.673 to 0.858)］ and was superior to ADC(ADC-10th) and image sign(short diameter) prediction models.In addition,the multi-parameter model established by synthetic MRI(T2-minimum)+ADC(ADC-10th)+image sign(short diameter) significantly improved the overall diagnostic efficiency of axillary lymph node metastasis of breast cancer.Conclusion:The Synthetic MRI is based on the ALN itself quantitative parameter histogram features have certain value in predicting the status of axillary lymph node metastasis of breast cancer,and the synthetic MRI+ADC quantitative parameter histogram features+lymph node image signs multi-parameter model has the best prediction efficiency.This multi-parameter combined model may be a promising alternative method for predicting ALNM.

References:

[1] SUNG H,FERLAY J,SIEGEL RL,et al.Global cancer statistics 2020:GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries［J］.CA Cancer J Clin,2021,71(3):209-249.
[2] LUINI A,GATTI G,BALLARDINI B,et al.Development of axillary surgery in breast cancer［J］.Ann Oncol,2005,16(2):259-262.
[3] NAOUM GE,ROBERTS S,BRUNELLE CL,et al.Quantifying the impact of axillary surgery and nodal irradiation on breast cancer-related lymphedema and local tumor control:Long-term results from a prospective screening trial［J］.J Clin Oncol,2020,38(29):3430-3438.
[4] 中国抗癌协会乳腺癌专业委员会,中华医学会肿瘤学分会乳腺肿瘤学组.中国抗癌协会乳腺癌诊治指南与规范（2024年版）［J］.中国癌症杂志,2023,33(12):1092-1187. The Society of Breast Cancer China Anti-Cancer Association,Breast Oncology Group of the Oncology Branch of the Chinese Medical Association.Guidelines for breast cancer diagnosis and treatment by China Anti-cancer Association(2024 edition)［J］.China Oncology,2023,33(12):1092-1187.
[5] MARINO MA,AVENDANO D,ZAPATA P,et al.Lymph node imaging in patients with primary breast cancer:Concurrent diagnostic tools［J］.Oncologist,2020,25(2):e231-e242.
[6] BANSAL GJ,JAIPAL A,WU GKC,et al.Diagnostic accuracy of magnetic resonance imaging to evaluate axillary lymph node status in breast cancer patients receiving neoadjuvant chemotherapy［J］.Br J Radiol,2023,96(1143):20220904.
[7] JI S,YANG D,LEE J,et al.Synthetic MRI:technologies and applications in neuroradiology［J］.J Magn Reson Imaging,2022,55(4):1013-1025.
[8] MENG T,HE N,HE H,et al.The diagnostic performance of quantitative mapping in breast cancer patients:a preliminary study using synthetic MRI［J］.Cancer Imaging,2020,20:88.
[9] DU S,GAO S,ZHANG L,et al.Improved discrimination of molecular subtypes in invasive breast cancer:comparison of multiple quantitative parameters from breast MRI［J］.Magn Reson Imaging,2021,77:148-158.
[10] TSUKADA H,TSUKADA J,SCHRADING S,et al.Accuracy of multi-parametric breast MR imaging for predicting pathological complete response of operable breast cancer prior to neoadjuvant systemic therapy［J］.Magn Reson Imaging,2019,62:242-248.
[11] SCARANELO AM,EIADA R,JACKS LM,et al.Accuracy of unenhanced MR imaging in the detection of axillary lymph node metastasis:study of reproducibility and reliability［J］.Radiology,2012,262(2):425-434.
[12] SCHIPPER RJ,PAIMAN ML,BEETS-TAN RG,et al.Diagnostic performance of dedicated axillary T2-and diffusion-weighted MR imaging for nodal staging in breast cancer［J］.Radiology,2015,275(2):345-355.
[13] ZHAO L,LIANG M,XIE L,et al.Prediction of pathological prognostic factors of rectal cancer by relaxation maps from synthetic magnetic resonance imaging［J］.Eur J Radiol,2021,138:109658.
[14] SPIEKER M,KATSIANOS E,GASTL M,et al.T2 mapping cardiovascular magnetic resonance identifies the presence of myocardial inflammation in patients with dilated cardiomyopathy as compared to endomyocardial biopsy［J］.Eur Heart J Cardiovasc Imaging,2018,19(5):574-582.
[15] WANG P,HU S,WANG X,et al.Synthetic MRI in differentiating benign from metastatic retropharyngeal lymphnode:combination with diffusion-weighted imaging［J］.Eur Radiol,2023,33(1):152-161.
[16] GE YX,HU SD,WANG Z,et al.Feasibility and reproducibility of T2 mapping and DWI for identifying malignant lymph nodes inrectal cancer［J］.Eur Radiol,2021,31(5):3347-3354.
[17] MOHARAMZAD Y,DAVARPANAH AH,YAGHOBI JOYBARI A,et al.Diagnostic performance of apparent diffusion coefficient(ADC) for differentiating endometrial carcinoma from benign lesions:a systematic review and meta-analysis［J］.Abdom Radiol(NY),2021,46(3):1115-1128.
[18] TSVETKOVA S,DOYKOVA K,VASILSKA A,et al.Differentiation of benign and malignant breast lesions using ADC values and ADC ratio in breast MRI［J］.Diagnostics(Basel),2022,12(2):332.
[19] GAO W,ZHANG S,GUO J,et al.Investigation of synthetic relaxometry and diffusion measures in the differentiation of benign and malignant breast lesions as compared to BI-RADS［J］.J Magn Reson Imaging,2021,53(4):1118-1127.

Memo

Memo:
广西桂林市科技计划项目（编号：20220139-2）
Last Update: 1900-01-01