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CT影像组学在pN0特征描述方面是否优于形态学评估?一项结肠癌的初步研究。

Is CT Radiomics Superior to Morphological Evaluation for pN0 Characterization? A Pilot Study in Colon Cancer.

作者信息

Zerunian Marta, Nacci Ilaria, Caruso Damiano, Polici Michela, Masci Benedetta, De Santis Domenico, Mercantini Paolo, Arrivi Giulia, Mazzuca Federica, Paolantonio Pasquale, Pilozzi Emanuela, Vecchione Andrea, Tarallo Mariarita, Fiori Enrico, Iannicelli Elsa, Laghi Andrea

机构信息

Radiology Unit, Department of Medical Surgical Sciences and Translational Medicine, Sapienza University of Rome, Sant'Andrea University Hospital, Via di Grottarossa 1035-1039, 00189 Rome, Italy.

Ph.D. School in Translational Medicine and Oncology, Department of Medical and Surgical Sciences and Translational Medicine, Faculty of Medicine and Psychology, Sapienza University of Rome, Via Giorgio Nicola Papanicolau-ang. Via di Grottarossa 1035, 00189 Rome, Italy.

出版信息

Cancers (Basel). 2024 Feb 4;16(3):660. doi: 10.3390/cancers16030660.

Abstract

The aim of this study was to compare CT radiomics and morphological features when assessing benign lymph nodes (LNs) in colon cancer (CC). This retrospective study included 100 CC patients (test cohort) who underwent a preoperative CT examination and were diagnosed as pN0 after surgery. Regional LNs were scored with a morphological Likert scale (NODE-SCORE) and divided into two groups: low likelihood (LLM: 0-2 points) and high likelihood (HLM: 3-7 points) of malignancy. The -test and the Mann-Whitney test were used to compare 107 radiomic features extracted from the two groups. Radiomic features were also extracted from primary lesions (PLs), and the receiver operating characteristic (ROC) was used to test a LN/PL ratio when assessing the LN's status identified with radiomics and with the NODE-SCORE. An amount of 337 LNs were divided into 167 with LLM and 170 with HLM. Radiomics showed 15/107 features, with a significant difference ( < 0.02) between the two groups. The comparison of selected features between 81 PLs and the corresponding LNs showed all significant differences ( < 0.0001). According to the LN/PL ratio, the selected features recognized a higher number of LNs than the NODE-SCORE ( < 0.001). On validation of the cohort of 20 patients (10 pN0, 10 pN2), significant ROC curves were obtained for LN/PL busyness (AUC = 0.91; 0.69-0.99; 95% C.I.; and < 0.001) and for LN/PL dependence entropy (AUC = 0.76; 0.52-0.92; 95% C.I.; and = 0.03). The radiomics ratio between CC and LNs is more accurate for noninvasively discriminating benign LNs compared to CT morphological features.

摘要

本研究的目的是比较在评估结肠癌(CC)中的良性淋巴结(LN)时CT影像组学特征和形态学特征。这项回顾性研究纳入了100例接受术前CT检查且术后诊断为pN0的CC患者(测试队列)。采用形态学李克特量表(NODE-SCORE)对区域LN进行评分,并分为两组:恶性可能性低(LLM:0 - 2分)和恶性可能性高(HLM:3 - 7分)。使用t检验和曼-惠特尼检验比较从两组中提取的107个影像组学特征。还从原发灶(PL)中提取影像组学特征,并使用受试者操作特征(ROC)曲线来检验在通过影像组学和NODE-SCORE评估LN状态时的LN/PL比值。337个LN被分为167个LLM和170个HLM。影像组学显示107个特征中有15个在两组之间存在显著差异(P < 0.02)。81个PL与相应LN之间所选特征的比较显示均有显著差异(P < 0.0001)。根据LN/PL比值,所选特征识别出的LN数量比NODE-SCORE更多(P < 0.001)。在对20例患者(10例pN0,10例pN2)的队列进行验证时,获得了LN/PL繁忙度(AUC = 0.91;0.69 - 0.99;95%置信区间;P < 0.001)和LN/PL依赖熵(AUC = 0.76;0.52 - 0.92;95%置信区间;P = 0.03)的显著ROC曲线。与CT形态学特征相比,CC与LN之间的影像组学比值在非侵入性鉴别良性LN方面更准确。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20b5/10854865/8e4b173fd58f/cancers-16-00660-g001.jpg

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