Multi-pool Model-based Amide Proton Transfer Imaging for Tumor Characterization and Risk Stratification in Endometrial Carcinoma.

IF 3.2
Yasukage Takami, Takashi Norikane, Kenichi Tanaka, Riku Morita, Yuri Manabe, Mitsumasa Murao, Katsuya Mitamura, Yuka Yamamoto, Kenji Kanenishi, Mitsuharu Miyoshi, Yoshihiro Nishiyama
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Abstract

Purpose: To evaluate whether multi-pool model (MPM)-based amide proton transfer (APT) imaging parameters can assess histological grade, histological type, lymphovascular space invasion (LVSI), and recurrence risk in endometrial carcinoma (EC), relative to conventional apparent diffusion coefficient (ADC) and magnetization transfer ratio asymmetry (MTRasym).

Methods: Preoperative 3.0T MRI was performed in 27 patients with EC at Kagawa University Hospital. Two-dimensional axial APT imaging was conducted using a single-shot fast-spin echo acquisition at 3T. ADC, MTRasym (3.5 ppm), and MPM-based APT imaging parameters were calculated using ROI analysis. Tumor grade, histological type, and LVSI status were obtained from surgical specimens. Recurrence risk was defined according to the Japan Society of Gynecologic Oncology 2023 guidelines. Between-group differences were tested using independent-samples t-tests, Mann-Whitney U tests, one-way analysis of variance, or Kruskal-Wallis tests as appropriate. Receiver operating characteristic (ROC) analysis was performed to evaluate diagnostic performance.

Results: APT_T2 was significantly higher in grade 2 than in grade 1 ECs (P < 0.05) and in type II than in type I ECs (P < 0.05), yielding the highest area under the curve (AUC) values of 0.81 and 0.83 for differentiating tumor grade and histological type, respectively. APT_T1 was significantly higher in LVSI-positive tumors than in LVSI-negative tumors (P < 0.05) and showed good performance for predicting LVSI (AUC = 0.84). APT_T1 was also significantly higher in the intermediate-risk group than in the low-risk group and achieved an AUC of 0.78 for differentiating low-risk from non-low-risk groups. MTRasym was likewise significantly higher in the non-low-risk group (P < 0.05) and showed comparable diagnostic performance. In contrast, ADC metrics showed no significant differences across these comparisons.

Conclusion: These preliminary findings indicate that APT_T2 may be useful for assessing histological grade and type, whereas APT_T1 may provide complementary information for evaluating LVSI and stratifying recurrence risk in EC.

基于多池模型的酰胺质子转移成像在子宫内膜癌中的肿瘤特征和风险分层。
目的:评价基于多池模型(MPM)的酰胺质子转移(APT)成像参数相对于传统表观扩散系数(ADC)和磁化传递比不对称(MTRasym)能否评估子宫内膜癌(EC)的组织学分级、组织学类型、淋巴血管间隙浸润(LVSI)和复发风险。方法:在香川大学医院对27例EC患者进行术前3.0T MRI检查。二维轴向APT成像采用3T单次快速自旋回波采集。利用ROI分析计算ADC、MTRasym (3.5 ppm)和基于mpm的APT成像参数。从手术标本中获得肿瘤分级、组织学类型和LVSI状态。复发风险根据日本妇科肿瘤学会2023指南定义。组间差异采用独立样本t检验、Mann-Whitney U检验、单向方差分析或Kruskal-Wallis检验进行检验。采用受试者工作特征(ROC)分析评价诊断效果。结论:这些初步研究结果表明,APT_T2可能有助于评估组织学分级和类型,而APT_T1可能为评估EC的LVSI和复发风险分层提供补充信息。
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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