基于直方图分析的酰胺质子转移加权磁共振成像预测直肠腺癌肿瘤萌芽等级:一项前瞻性研究。

IF 4.7 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING European Radiology Pub Date : 2024-11-05 DOI:10.1007/s00330-024-11172-x
Peiyi Xie, Qitong Huang, Litao Zheng, Jiao Li, Shuai Fu, Pan Zhu, Ximin Pan, Lishuo Shi, Yandong Zhao, Xiaochun Meng
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引用次数: 0

摘要

目的探讨酰胺质子转移加权(APTw)磁共振成像与弥散加权成像(DWI)相比,在预测直肠癌(RC)肿瘤萌芽(TB)分级方面的亚区域直方图特征:本研究前瞻性地纳入了74例经病理确诊的直肠癌患者,这些患者在2022年7月至2023年3月期间接受了术前APTw核磁共振成像检查。TB评分采用苏木精-伊红染色。应用K-均值聚类(K = 4-6)获得多个子区域(n = 3-5),并提取APT和表观扩散系数(ADC)图的相应直方图特征(包括均值、标准差、最小值、最大值以及第10、25、50、75和90个量级),然后使用逐步回归法进行筛选:当 K = 5 时,K-均值聚类为四个子区域,与 K = 4 或 6 相比,对结核分级的预测效果最好。当 K = 5 时,与中低结核分级组相比,高结核分级组中第 3 和第 4 子区域的 APT 图直方图特征明显更高。接收者操作特征(ROC)曲线和内部验证表明,当 K = 5 时,模型的预测效率最高,AUC、灵敏度、特异性、准确性和 kappa 值分别为 0.92、93%、71%、87% 和 0.65。ADC图中各亚区域的直方图特征无明显差异(P>0.05):结论:APTw 图像的亚区域直方图特征有助于区分 RC 的异质性区域,可用于预测 RC 的结核分级:问题 APTw MRI 的亚区域直方图特征能否预测直肠癌(RC)的肿瘤萌芽(TB)分级?研究结果 TB分级中高和中低组的APT图亚区域直方图特征存在差异;APT图亚区域具有不同的预测能力。临床意义 在预测 RC 结核分级方面,APT 加权成像可能优于 DWI。
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Sub-region based histogram analysis of amide proton transfer-weighted MRI for predicting tumor budding grade in rectal adenocarcinoma: a prospective study.

Objective: To explore the sub-regional histogram features of amide proton transfer-weighted (APTw) MRI, compared with those of diffusion-weighted imaging (DWI), in predicting the tumor budding (TB) grade of rectal cancer (RC).

Materials and methods: This study prospectively enrolled 74 patients with pathologically confirmed RC, who underwent APTw MRI before surgery from July 2022 to March 2023. Hematoxylin-eosin staining was used for TB scoring. K-means clustering (K = 4-6) was applied to obtain multiple sub-regions (n = 3-5), and corresponding histogram features (including mean, standard deviation, minimum, maximum, and 10th, 25th, 50th, 75th, and 90th quantile) of APT and apparent diffusion coefficient (ADC) maps were extracted and filtered using stepwise regression.

Results: When K = 5, the K-means clustering is four sub-regions, showing the best prediction for TB grade compared to K = 4 or 6. When K = 5, there were significantly higher histogram features of the APT map in sub-regions 3 and 4 in the high TB grade group compared to the low-intermediate TB grade group. Receiver operating characteristic (ROC) curve and internal validation suggested that the predictive efficiency of the model was highest when K = 5, with AUC, sensitivity, specificity, accuracy, and kappa values of 0.92, 93%, 71%, 87%, and 0.65, respectively. There were no significant differences in the histogram features of each sub-region in the ADC map (p > 0.05).

Conclusion: The sub-regional histogram features of APTw images can help to distinguish the heterogeneous regions of RC, which can be used to predict the TB grade of RC.

Key points: Question Can the sub-regional histogram features of APTw MRI predict the tumor budding (TB) grade of rectal cancer (RC)? Findings Differences exist in histogram features of APT map subregions between high and low-intermediate TB grade groups; subregions of the APT map have different predictive abilities. Clinical relevance APT-weighted imaging might outperform DWI in predicting TB grade in RC.

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来源期刊
European Radiology
European Radiology 医学-核医学
CiteScore
11.60
自引率
8.50%
发文量
874
审稿时长
2-4 weeks
期刊介绍: European Radiology (ER) continuously updates scientific knowledge in radiology by publication of strong original articles and state-of-the-art reviews written by leading radiologists. A well balanced combination of review articles, original papers, short communications from European radiological congresses and information on society matters makes ER an indispensable source for current information in this field. This is the Journal of the European Society of Radiology, and the official journal of a number of societies. From 2004-2008 supplements to European Radiology were published under its companion, European Radiology Supplements, ISSN 1613-3749.
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