An MRI-based multi-objective radiomics model predicts lymph node status in patients with rectal cancer
- PDF / 2,359,977 Bytes
- 9 Pages / 595.276 x 790.866 pts Page_size
- 70 Downloads / 190 Views
PELVIS
An MRI‑based multi‑objective radiomics model predicts lymph node status in patients with rectal cancer Jin Li1 · Yang Zhou1,2 · Xinxin Wang2 · Meijuan Zhou3 · Xi Chen3 · Kuan Luan1 Received: 14 September 2020 / Revised: 5 November 2020 / Accepted: 11 November 2020 © Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract Purpose To apply a multi-objective radiomics model based on pre-operative magnetic resonance imaging (MRI) for improving diagnostic accuracy of LN metastasis in rectal cancer patients. Methods This study consisted of 91 patients diagnosed with rectal cancer from April 2018 to March 2019. All patients underwent rectal MRI before surgery without any other treatment. Clinical data, subjective radiologist assessments, and radiomic features of LNs were obtained. A total of 1409 radiomic features were extracted from T2WI LN images. Multiobjective optimization with the iterative multi-objective immune algorithm (IMIA) was used to select radiomic features to build prediction models. Predictive performances of radiomic, radiologist, and combined radiomic and radiologist models were assessed for accuracy by receiver operating characteristics (ROC) curves. Results For the radiologist analysis, heterogeneity was the only significant independent predictor of LN status. The sensitivity, specificity, and accuracy of the subjective radiologist analysis were 72.09%, 73.81%, and 78.12%, respectively. The sensitivity, specificity, and accuracy of the solitary radiomic model consisting of 10 features were 89.81%, 82.57%, and 87.77%, respectively. The sensitivity, specificity, and accuracy of the combined model, which consisted of 12 radiomic and radiologist features, were 92.23%, 84.69%, and 89.88%, respectively. The combined model had the best prediction performance with an AUC of 0.94. Conclusions The multi-objective radiomics model based on T2WI images was very useful in predicting pre-operative LN status in rectal cancer patients. Keywords Rectal cancer · Lymph nodes · Multi-objective radiomics · Magnetic resonance imaging
Introduction Colorectal cancer (CRC) is the third most common cancer and kills more than half a million people worldwide annually [1–3]. With advances in imaging modalities and surgical techniques, the management of rectal cancer has improved, but postoperative mortality remains high due to incidences of recurrence and metastasis [4–7]. Lymph node metastasis (LNM) is the main prognostic factor for the overall survival * Kuan Luan [email protected] 1
Automation College, Harbin Engineering University, Harbin 150001, Heilongjiang, China
2
Department of Radiology, Harbin Medical University Cancer Hospital, Harbin 150001, Heilongjiang, China
3
School of Information and Communications Engineering, Xi’an Jiaotong University, Xi’an 710049, Shaanxi, China
of patients with rectal cancer [8, 9], and accurate evaluation of lymph node (LN) status in such patients is associated with improved treatment and prognosis [10]. Magnetic resonance imagi
Data Loading...
