Lack of incremental value of three-dimensional measurement in assessing invasiveness for lung cancer

Author:

Wang Meng-Min1ORCID,Li Jia-Qi2,Dou Shi-Hua3,Li Hong-Ji14,Qiu Zhen-Bin14,Zhang Chao14,Yang Xiong-Wen14,Zhang Jia-Tao1,Qiu Xin-Hua1,Xie Hong-Sheng3,Tang Wen-Fang5,Cheng Mei-Ling1,Yan Hong-Hong1,Yang Xue-Ning1,Wu Yi-Long1,Zhang Xue-Gong26,Yang Lin3ORCID,Zhong Wen-Zhao14ORCID

Affiliation:

1. Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University , Guangzhou, China

2. Bioinformatics Division, BNRIST and MOE Key Lab of Bioinformatics, Department of Automation, Tsinghua University , Beijing, China

3. Department of Thoracic Surgery, The Second Clinical Medical College, Jinan University (Shenzhen People's Hospital) , Shenzhen, China

4. School of Medicine, South China University of Technology , Guangzhou, China

5. Department of Cardiothoracic Surgery, Zhongshan City People's Hospital , Zhongshan, China

6. School of Medicine, Tsinghua University , Beijing, China

Abstract

Abstract OBJECTIVES The aim of this study was to evaluate the performance of consolidation-to-tumour ratio (CTR) and the radiomic models in two- and three-dimensional modalities for assessing radiological invasiveness in early-stage lung adenocarcinoma. METHODS A retrospective analysis was conducted on patients with early-stage lung adenocarcinoma from Guangdong Provincial People's Hospital and Shenzhen People's Hospital. Manual delineation of pulmonary nodules along the boundary was performed on cross-sectional images to extract radiomic features. Clinicopathological characteristics and radiomic signatures were identified in both cohorts. CTR and radiomic score for every patient were calculated. The performance of CTR and radiomic models were tested and validated in the respective cohorts. RESULTS A total of 818 patients from Guangdong Provincial People's Hospital were included in the primary cohort, while 474 patients from Shenzhen People's Hospital constituted an independent validation cohort. Both CTR and radiomic score were identified as independent factors for predicting pathological invasiveness. CTR in two- and three-dimensional modalities exhibited comparable results with areas under the receiver operating characteristic curves and were demonstrated in the validation cohort (area under the curve: 0.807 vs 0.826, P = 0.059) Furthermore, both CTR in two- and three-dimensional modalities was able to stratify patients with significant relapse-free survival (P < 0.000 vs P < 0.000) and overall survival (P = 0.003 vs P = 0.001). The radiomic models in two- and three-dimensional modalities demonstrated favourable discrimination and calibration in independent cohorts (P = 0.189). CONCLUSIONS Three-dimensional measurement provides no additional clinical benefit compared to two-dimensional.

Funder

Guangdong Basic and Applied Basic Research Foundation

Guangdong Provincial Key Laboratory of Lung Cancer Translational Medicine

National Natural Science Foundation of China Major Joint Project on Key scientific issues of lung Cancer

High-level Hospital Construction Project

Publisher

Oxford University Press (OUP)

Subject

Cardiology and Cardiovascular Medicine,Pulmonary and Respiratory Medicine,General Medicine,Surgery

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