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缩小视野感兴趣区直方图参数在直肠癌中的应用价值研究

Study on the application value of histogram parameters from reduced field-of-view VOI in rectal cancer.

作者信息

Zhang Yumeng, Fan Rui, Cao Yuntai

机构信息

Qinghai University Affiliated Hospital, Xining, China.

出版信息

Abdom Radiol (NY). 2025 Jul 2. doi: 10.1007/s00261-025-05096-3.

Abstract

PURPOSE

To establish a reduced field-of-view (rFOV) DWI protocol on a 3.0T high-field MRI platform, explore the correlation between ADC histogram parameters derived from rFOV VOI and rectal cancer T/N staging, lymphatic vessel invasion, peripheral nerve invasion, histological differentiation, and Ki-67.

METHODS

Prospectively included 47 pathologically confirmed rectal adenocarcinoma patients (March 2023-December 2024) for analyzing rFOV VOI histogram parameters. FireVoxel extracted ADC histogram parameters from tumor VOIs. Spearman correlation assessed relationships between parameters and T/N staging, lymphatic vessel / peripheral nerve invasion, histological differentiation, and Ki-67. ROC curves evaluated diagnostic efficacy.

RESULTS

T-stage linked to Max, Min, Perc.1%, Perc.5%, Perc.10%, Perc.25% (P < 0.05); N-stage to Max, Min, Variance, Skewness, Kurtosis, Perc.99%; lymphatic vessel invasion to Max, Kurtosis, P99% (highest AUC: 0.773, combined diagnosis); peripheral nerve invasion to Max, Variance, Skewness, Kurtosis, Perc.95%, Perc.99% (highest AUC: 0.921, combined diagnosis); histological differentiation to Max, Variance, Skewness, Kurtosis, Perc.90%, Perc.95%, Perc.99% (highest AUC: 0.824, combined diagnosis); Ki-67 to Variance, Skewness, Perc.90%, Perc.95%, Perc.99% (highest AUC: 0.814, combined diagnosis). All P < 0.05.

CONCLUSIONS

ADC histogram analysis based on rFOV VOI reveals correlations between histogram parameters and pathological features of rectal cancer, highlighting their potential value as imaging biomarkers for staging and prognosis.

摘要

目的

在3.0T高场强MRI平台上建立一种缩小视野(rFOV)的扩散加权成像(DWI)协议,探讨从rFOV感兴趣区(VOI)得出的表观扩散系数(ADC)直方图参数与直肠癌T/N分期、淋巴管侵犯、神经侵犯、组织学分化及Ki-67之间的相关性。

方法

前瞻性纳入47例经病理证实的直肠腺癌患者(2023年3月至2024年12月),分析rFOV VOI直方图参数。FireVoxel从肿瘤VOI中提取ADC直方图参数。采用Spearman相关性分析评估参数与T/N分期、淋巴管/神经侵犯、组织学分化及Ki-67之间的关系。绘制ROC曲线评估诊断效能。

结果

T分期与最大值、最小值、第1百分位数、第5百分位数、第10百分位数、第25百分位数相关(P<0.05);N分期与最大值、最小值、方差、偏度、峰度、第99百分位数相关;淋巴管侵犯与最大值、峰度、第99百分位数相关(最高AUC:0.773,联合诊断);神经侵犯与最大值、方差、偏度、峰度、第95百分位数、第99百分位数相关(最高AUC:0.921,联合诊断);组织学分化与最大值、方差、偏度、峰度、第90百分位数、第95百分位数、第99百分位数相关(最高AUC:0.824,联合诊断);Ki-67与方差、偏度、第90百分位数、第95百分位数、第99百分位数相关(最高AUC:0.814,联合诊断)。所有P<0.05。

结论

基于rFOV VOI的ADC直方图分析揭示了直方图参数与直肠癌病理特征之间的相关性,凸显了其作为分期和预后成像生物标志物的潜在价值。

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