Endometrial cancer risk stratification using MRI radiomics: corroborating with choline metabolism.

IF 3.5 2区医学 Q2 ONCOLOGY

Cancer Imaging Pub Date : 2024-08-24 DOI:10.1186/s40644-024-00756-x

Yenpo Lin, Ren-Chin Wu, Yu-Chun Lin, Yen-Ling Huang, Chiao-Yun Lin, Chi-Jen Lo, Hsin-Ying Lu, Kuan-Ying Lu, Shang-Yueh Tsai, Ching-Yi Hsieh, Lan-Yan Yang, Mei-Ling Cheng, Angel Chao, Chyong-Huey Lai, Gigin Lin

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引用次数: 0

Abstract

Background and purpose: Radiomics offers little explainability. This study aims to develop a radiomics model (Rad-Score) using diffusion-weighted imaging (DWI) to predict high-risk patients for nodal metastasis or recurrence in endometrial cancer (EC) and corroborate with choline metabolism.

Materials and methods: From August 2015 to July 2018, 356 EC patients were enrolled. Rad-Score was developed using LASSO regression in a training cohort (n = 287) and validated in an independent test cohort (n = 69). MR spectroscopy (MRS) was also used in 230 patients. Nuclear MRS measured choline metabolites in 70 tissue samples. The performance was compared against European Society for Medical Oncology (ESMO) risk groups. A P < .05 denoted statistical significance.

Results: Rad-Score achieved 71.1% accuracy in the training and 71.0% in the testing cohorts. Incorporating clinical parameters of age, tumor type, size, and grade, Rad-Signature reached accuracies of 73.2% in training and 75.4% in testing cohorts, closely matching the performance to the post-operatively based ESMO's 70.7% and 78.3%. Rad-Score was significantly associated with increased total choline levels on MRS (P = .034) and tissue levels (P = .019).

Conclusions: Development of a preoperative radiomics risk score, comparable to ESMO clinical standard and associated with altered choline metabolism, shows translational relevance for radiomics in high-risk EC patients.

Trial registration: This study was registered in ClinicalTrials.gov on 2015-08-01 with Identifier NCT02528864.

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利用磁共振成像放射组学进行子宫内膜癌风险分层：与胆碱代谢相互印证。

背景和目的：放射组学的可解释性很低。本研究旨在利用扩散加权成像（DWI）建立放射组学模型（Rad-Score），预测子宫内膜癌（EC）结节转移或复发的高危患者，并与胆碱代谢进行印证：2015年8月至2018年7月，共纳入356例子宫内膜癌患者。在训练队列（n = 287）中使用 LASSO 回归开发了 Rad-Score，并在独立测试队列（n = 69）中进行了验证。此外，还在 230 名患者中使用了核磁共振波谱（MRS）。核磁共振波谱测量了 70 份组织样本中的胆碱代谢物。结果与欧洲肿瘤内科学会（ESMO）风险组进行了比较。A P 结果：Rad-Score 在训练组中的准确率为 71.1%，在测试组中的准确率为 71.0%。结合年龄、肿瘤类型、大小和分级等临床参数，Rad-Signature 在训练组中的准确率为 73.2%，在测试组中的准确率为 75.4%，与基于术后 ESMO 的 70.7% 和 78.3% 的准确率非常接近。Rad-Score与MRS总胆碱水平（P = .034）和组织水平（P = .019）的增加有明显相关性：结论：术前放射组学风险评分的制定与ESMO临床标准相当，并与胆碱代谢的改变有关，显示了放射组学在高风险EC患者中的转化意义：本研究于2015-08-01在ClinicalTrials.gov注册，标识符为NCT02528864。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Cancer Imaging ONCOLOGY-RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

CiteScore

7.00

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： Cancer Imaging is an open access, peer-reviewed journal publishing original articles, reviews and editorials written by expert international radiologists working in oncology. The journal encompasses CT, MR, PET, ultrasound, radionuclide and multimodal imaging in all kinds of malignant tumours, plus new developments, techniques and innovations. Topics of interest include: Breast Imaging Chest Complications of treatment Ear, Nose & Throat Gastrointestinal Hepatobiliary & Pancreatic Imaging biomarkers Interventional Lymphoma Measurement of tumour response Molecular functional imaging Musculoskeletal Neuro oncology Nuclear Medicine Paediatric.