Value of diffusion kurtosis MR imaging and conventional diffusion weighed imaging for evaluating response to first-line chemotherapy in unresectable pancreatic cancer.

IF 3.5 2区 医学 Q2 ONCOLOGY Cancer Imaging Pub Date : 2024-02-26 DOI:10.1186/s40644-024-00674-y
Zehua Zhang, Yuqin Zhang, Feixiang Hu, Tiansong Xie, Wei Liu, Huijing Xiang, Xiangxiang Li, Lei Chen, Zhengrong Zhou
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Abstract

Objective: To investigate the diagnostic value of diffusion kurtosis magnetic resonance imaging (DKI) and conventional diffusion-weighted imaging (DWI) for evaluating the response to first-line chemotherapy in unresectable pancreatic cancer.

Materials and methods: We retrospectively analyzed 21 patients with clinically and pathologically confirmed unresected pancreatic cancer who received palliative chemotherapy. Three-tesla MRI examinations containing DWI sequences with b values of 0, 100, 700, 1400, and 2100 s/mm2 were performed before and after chemotherapy. Parameters included the apparent diffusion coefficient (ADC), mean diffusion coefficient (MD), and mean diffusional kurtosis (MK). The performances of the DWI and DKI parameters in distinguishing the response to chemotherapy were evaluated by the area under the curve (AUC) of the receiver operating characteristic (ROC) curve. Overall survival (OS) was calculated from the date of first treatment to the date of death or the latest follow-up date.

Results: The ADCchange and MDchange were significantly higher in the responding group (PR group) than in the nonresponding group (non-PR group) (ADCchange: 0.21 ± 0.05 vs. 0.11 ± 0.09, P = 0.02; MDchange: 0.37 ± 0.24 vs. 0.10 ± 0.12, P = 0.002). No statistical significance was shown when comparing ADCpre, ADCpost, MKpre, MKpost, MKchange, MDpre, and MDpost between the PR and non-PR groups. The ROC curve analysis indicated that MDchange (AUC = 0.898, cutoff value = 0.7143) performed better than ADCchange (AUC = 0.806, cutoff value = 0.1369) in predicting the response to chemotherapy.

Conclusion: The ADCchange and MDchange demonstrated strong potential for evaluating the response to chemotherapy in unresectable pancreatic cancer. The MDchange showed higher specificity in the classification of PR and non-PR than the ADCchange. Other parameters, including ADCpre, ADCpost, MKpre, MKpost, MKchange, MDpre, and MDpost, are not suitable for response evaluation. The combined model SUMchange demonstrated superior performance compared to the individual DWI and DKI models. Further experiments are needed to evaluate the potential of DWI and DKI parameters in predicting the prognosis of patients with unresectable pancreatic cancer.

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弥散峰度磁共振成像和传统弥散权重成像对评估不可切除胰腺癌一线化疗反应的价值。
目的研究弥散峰度磁共振成像(DKI)和传统弥散加权成像(DWI)对评估不可切除胰腺癌一线化疗反应的诊断价值:我们回顾性分析了21例经临床和病理确诊的未切除胰腺癌患者,这些患者接受了姑息化疗。化疗前后均进行了三特斯拉磁共振成像检查,其中包含 b 值为 0、100、700、1400 和 2100 s/mm2 的 DWI 序列。参数包括表观扩散系数(ADC)、平均扩散系数(MD)和平均扩散峰度(MK)。通过接收者操作特征曲线(ROC)的曲线下面积(AUC)来评估 DWI 和 DKI 参数在区分化疗反应方面的性能。总生存期(OS)从首次治疗之日起计算至死亡之日或最近一次随访之日:结果:有反应组(PR 组)的 ADC 变化率和 MD 变化率明显高于无反应组(非 PR 组)(ADC 变化率:0.21 ± 0.05 vs ADC 变化率:0.21 ± 0.05 vs MD 变化率:0.21 ± 0.05):0.11 ± 0.09,P = 0.02;MDchange:0.10 ± 0.12,P = 0.002)。PR 组和非 PR 组之间的 ADCpre、ADCpost、MKpre、MKpost、MKchange、MDpre 和 MDpost 比较无统计学意义。ROC 曲线分析表明,在预测化疗反应方面,MDchange(AUC = 0.898,临界值 = 0.7143)优于 ADCchange(AUC = 0.806,临界值 = 0.1369):结论:ADCchange和MDchange在评估不可切除胰腺癌的化疗反应方面具有很强的潜力。与 ADCchange 相比,MDchange 在 PR 和非 PR 的分类中显示出更高的特异性。其他参数,包括 ADCpre、ADCpost、MKpre、MKpost、MKchange、MDpre 和 MDpost,都不适合用于反应评估。与单独的 DWI 和 DKI 模型相比,组合模型 SUMchange 表现出更优越的性能。还需要进一步的实验来评估 DWI 和 DKI 参数在预测不可切除胰腺癌患者预后方面的潜力。
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来源期刊
Cancer Imaging
Cancer Imaging ONCOLOGY-RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
CiteScore
7.00
自引率
0.00%
发文量
66
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.
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