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Article

Radiomics Signature to Predict Prognosis in Early-Stage Lung Adenocarcinoma (≤3 cm) Patients with No Lymph Node Metastasis

by
Li Zhang
1,†,
Lv Lv
2,†,
Lin Li
3,
Yan-Mei Wang
4,
Shuang Zhao
5,
Lei Miao
1,
Yan-Ning Gao
6,
Meng Li
1,* and
Ning Wu
1,7,*
1
Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing 100021, China
2
Department of Nuclear Medicine, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing 100021, China
3
Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing 100021, China
4
GE Healthcare China, Pudong New Town, Shanghai 201200, China
5
Pediatric Translational Medicine Institute, Shanghai Children’s Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
6
State Key Laboratory of Molecular Oncology, Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing 100021, China
7
Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Hebei Cancer Hospital, Chinese Academy of Medical Sciences, Langfang 065001, China
*
Authors to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Diagnostics 2022, 12(8), 1907; https://doi.org/10.3390/diagnostics12081907
Submission received: 30 May 2022 / Revised: 2 August 2022 / Accepted: 4 August 2022 / Published: 6 August 2022
(This article belongs to the Special Issue Radiomics in the Early Diagnosis of Lung Cancer)
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Abstract

Objectives: To investigate the predictive ability of radiomics signature to predict the prognosis of early-stage primary lung adenocarcinoma (≤3 cm) with no lymph node metastasis (pathological stage I). Materials and Methods: This study included consecutive patients with lung adenocarcinoma (≤3 cm) with no lymph node metastasis (pathological stage I) and divided them into two groups: good prognosis group and poor prognosis group. The association between the radiomics signature and prognosis was explored. An integrative radiomics model was constructed to demonstrate the value of the radiomics signature for individualized prognostic prediction. Results: Six radiomics features were significantly different between the two prognosis groups and were used to construct a radiomics model. On the training and test sets, the area under the receiver operating characteristic curve value of the radiomics model in discriminating between the two groups were 0.946 and 0.888, respectively, and those of the pathological model were 0.761 and 0.798, respectively. A radiomics nomogram combining sex, tumor size and rad-score was built. Conclusion: The radiomics signature has potential utility in estimating the prognosis of patients with pathological stage I lung adenocarcinoma (≤3 cm), potentially enabling a step forward in precision medicine.
Keywords: lung adenocarcinoma; computed tomography; radiomics; prognosis lung adenocarcinoma; computed tomography; radiomics; prognosis

Share and Cite

MDPI and ACS Style

Zhang, L.; Lv, L.; Li, L.; Wang, Y.-M.; Zhao, S.; Miao, L.; Gao, Y.-N.; Li, M.; Wu, N. Radiomics Signature to Predict Prognosis in Early-Stage Lung Adenocarcinoma (≤3 cm) Patients with No Lymph Node Metastasis. Diagnostics 2022, 12, 1907. https://doi.org/10.3390/diagnostics12081907

AMA Style

Zhang L, Lv L, Li L, Wang Y-M, Zhao S, Miao L, Gao Y-N, Li M, Wu N. Radiomics Signature to Predict Prognosis in Early-Stage Lung Adenocarcinoma (≤3 cm) Patients with No Lymph Node Metastasis. Diagnostics. 2022; 12(8):1907. https://doi.org/10.3390/diagnostics12081907

Chicago/Turabian Style

Zhang, Li, Lv Lv, Lin Li, Yan-Mei Wang, Shuang Zhao, Lei Miao, Yan-Ning Gao, Meng Li, and Ning Wu. 2022. "Radiomics Signature to Predict Prognosis in Early-Stage Lung Adenocarcinoma (≤3 cm) Patients with No Lymph Node Metastasis" Diagnostics 12, no. 8: 1907. https://doi.org/10.3390/diagnostics12081907

APA Style

Zhang, L., Lv, L., Li, L., Wang, Y.-M., Zhao, S., Miao, L., Gao, Y.-N., Li, M., & Wu, N. (2022). Radiomics Signature to Predict Prognosis in Early-Stage Lung Adenocarcinoma (≤3 cm) Patients with No Lymph Node Metastasis. Diagnostics, 12(8), 1907. https://doi.org/10.3390/diagnostics12081907

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