Ultrasound radiomics-based nomogram to predict lymphovascular invasion in invasive breast cancer: a multicenter, retrospective study

被引:22
作者
Du, Yu [1 ]
Cai, Mengjun [1 ]
Zha, Hailing [1 ]
Chen, Baoding [2 ]
Gu, Jun [3 ]
Zhang, Manqi [1 ]
Liu, Wei [1 ]
Liu, Xinpei [1 ]
Liu, Xiaoan [4 ]
Zong, Min [5 ]
Li, Cuiying [1 ]
机构
[1] Nanjing Med Univ, Dept Ultrasound, Affiliated Hosp 1, 300 Guangzhou Rd, Nanjing 210029, Peoples R China
[2] Jiangsu Univ, Dept Ultrasound, Affiliated Hosp, 438 Jiefang Rd, Zhenjiang 212050, Peoples R China
[3] Affiliated Suzhou Hosp Nanjing Med Univ, Suzhou Municipal Hosp, Dept Ultrasound, Suzhou 215002, Peoples R China
[4] Nanjing Med Univ, Dept Breast Surg, Affiliated Hosp 1, 300 Guangzhou Rd, Nanjing 210029, Peoples R China
[5] Nanjing Med Univ, Dept Radiol, Affiliated Hosp 1, 300 Guangzhou Rd, Nanjing 210029, Peoples R China
关键词
Breast neoplasms; Lymphovascular invasion; Radiomics; Nomogram; Ultrasonography; PREOPERATIVE PREDICTION; UROTHELIAL CARCINOMA; FEATURE-SELECTION; VESSEL INVASION; RECURRENCE; EXPRESSION; RECEPTOR; SURVIVAL; SUBTYPE; IMPACT;
D O I
10.1007/s00330-023-09995-1
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
ObjectivesTo develop and validate an ultrasound (US) radiomics-based nomogram for the preoperative prediction of the lymphovascular invasion (LVI) status in patients with invasive breast cancer (IBC).Materials and methodsIn this multicentre, retrospective study, 456 consecutive women were enrolled from three institutions. Institutions 1 and 2 were used to train (n = 320) and test (n = 136), and 130 patients from institution 3 were used for external validation. Radiomics features that reflected tumour information were derived from grey-scale US images. The least absolute shrinkage and selection operator and the maximum relevance minimum redundancy (mRMR) algorithm were used for feature selection and radiomics signature (RS) building. US radiomics-based nomogram was constructed by using multivariable logistic regression analysis. Predictive performance was assessed with the receiving operating characteristic curve, discrimination, and calibration.ResultsThe nomogram based on clinico-ultrasonic features (menopausal status, US-reported lymph node status, posterior echo features) and RS yielded an optimal AUC of 0.88 (95% confidence interval [CI], 0.84-0.91), 0.89 (95% CI, 0.84-0.94) and 0.95 (95% CI, 0.92-0.99) in the training, internal and external validation cohort. The nomogram outperformed the clinico-ultrasonic and RS model (p < 0.05). The nomogram performed favourable discrimination (C-index, 0.88; 95% CI: 0.84-0.91) and was confirmed in the validation (0.88 for internal, 0.95 for external) cohorts. The calibration and decision curve demonstrated the nomogram showed good calibration and was clinically useful.ConclusionsThe radiomics nomogram incorporated in the RS and US and the clinical findings exhibited favourable preoperative individualised prediction of LVI.
引用
收藏
页码:136 / 148
页数:13
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