Tianwen Xie , Yan Huang , Caixia Fu , Robert Grimm , Marcel Dominik Nickel , Qin Xiao , Weijun Peng , Ruimin Li , Yajia Gu
{"title":"用超快DCE-MRI评估乳腺病变:时间分辨率对药代动力学的影响。","authors":"Tianwen Xie , Yan Huang , Caixia Fu , Robert Grimm , Marcel Dominik Nickel , Qin Xiao , Weijun Peng , Ruimin Li , Yajia Gu","doi":"10.1016/j.mri.2025.110512","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><div>This study aimed to evaluate the impact of temporal resolution on pharmacokinetic parameters and the performance in diagnosing breast cancer.</div></div><div><h3>Methods</h3><div>This prospective study included 89 consecutive patients with 97 lesions (76 malignant and 21 benign). Ultrafast dynamic contrast-enhanced (UF-DCE) imaging was performed on a 3-T MRI scanner using CAIPIRINHA-Dixon-TWIST-VIBE (CDTV) with a native temporal resolution of 4.5 s per phase. The CDTV data were downsampled at various temporal resolutions ranging from 9.0 to 58.5 s, creating eight additional datasets. Pharmacokinetic parameters, including <em>K</em><sup>trans</sup>, <em>k</em><sub>ep</sub>, and <em>v</em><sub>e</sub>, were calculated using Tofts model and population-based arterial input function (AIF). Paired-sample <em>t-</em>test with Bonferroni correction and ROC curves were used for statistical analysis.</div></div><div><h3>Results</h3><div>As temporal resolution decreased from 4.5 s, <em>K</em><sup>trans</sup> and <em>k</em><sub>ep</sub> values increased, while <em>v</em><sub>e</sub> values decreased. The AUCs of <em>K</em><sup>trans</sup>, <em>k</em><sub>ep</sub>, and <em>v</em><sub>e</sub> at 4.5-s temporal resolution were 0.648, 0.778, and 0.685, respectively. Temporal resolutions shorter than 18 s showed less than a 10 % deviation in <em>K</em><sup>trans</sup> and <em>k</em><sub>ep</sub> of quantitative parameters compared to the 4.5-s reference. No significant difference was noted among AUC pairs for any of the parameters (corrected <em>p</em> > 0.00625).</div></div><div><h3>Conclusions</h3><div>Our results revealed that the temporal resolution significantly impacted pharmacokinetic parameters based on the population-based AIF from UF-DCE MRI. However, the diagnostic ability to characterize breast cancer might not be substantially affected. A temporal resolution shorter than 18 s is recommended for accurate calculation of pharmacokinetic parameters.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"124 ","pages":"Article 110512"},"PeriodicalIF":2.0000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluating breast lesions with ultrafast DCE-MRI: The impact of temporal resolution on pharmacokinetics\",\"authors\":\"Tianwen Xie , Yan Huang , Caixia Fu , Robert Grimm , Marcel Dominik Nickel , Qin Xiao , Weijun Peng , Ruimin Li , Yajia Gu\",\"doi\":\"10.1016/j.mri.2025.110512\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objective</h3><div>This study aimed to evaluate the impact of temporal resolution on pharmacokinetic parameters and the performance in diagnosing breast cancer.</div></div><div><h3>Methods</h3><div>This prospective study included 89 consecutive patients with 97 lesions (76 malignant and 21 benign). Ultrafast dynamic contrast-enhanced (UF-DCE) imaging was performed on a 3-T MRI scanner using CAIPIRINHA-Dixon-TWIST-VIBE (CDTV) with a native temporal resolution of 4.5 s per phase. The CDTV data were downsampled at various temporal resolutions ranging from 9.0 to 58.5 s, creating eight additional datasets. Pharmacokinetic parameters, including <em>K</em><sup>trans</sup>, <em>k</em><sub>ep</sub>, and <em>v</em><sub>e</sub>, were calculated using Tofts model and population-based arterial input function (AIF). Paired-sample <em>t-</em>test with Bonferroni correction and ROC curves were used for statistical analysis.</div></div><div><h3>Results</h3><div>As temporal resolution decreased from 4.5 s, <em>K</em><sup>trans</sup> and <em>k</em><sub>ep</sub> values increased, while <em>v</em><sub>e</sub> values decreased. The AUCs of <em>K</em><sup>trans</sup>, <em>k</em><sub>ep</sub>, and <em>v</em><sub>e</sub> at 4.5-s temporal resolution were 0.648, 0.778, and 0.685, respectively. Temporal resolutions shorter than 18 s showed less than a 10 % deviation in <em>K</em><sup>trans</sup> and <em>k</em><sub>ep</sub> of quantitative parameters compared to the 4.5-s reference. No significant difference was noted among AUC pairs for any of the parameters (corrected <em>p</em> > 0.00625).</div></div><div><h3>Conclusions</h3><div>Our results revealed that the temporal resolution significantly impacted pharmacokinetic parameters based on the population-based AIF from UF-DCE MRI. However, the diagnostic ability to characterize breast cancer might not be substantially affected. A temporal resolution shorter than 18 s is recommended for accurate calculation of pharmacokinetic parameters.</div></div>\",\"PeriodicalId\":18165,\"journal\":{\"name\":\"Magnetic resonance imaging\",\"volume\":\"124 \",\"pages\":\"Article 110512\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2025-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Magnetic resonance imaging\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0730725X25001961\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Magnetic resonance imaging","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0730725X25001961","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
Evaluating breast lesions with ultrafast DCE-MRI: The impact of temporal resolution on pharmacokinetics
Objective
This study aimed to evaluate the impact of temporal resolution on pharmacokinetic parameters and the performance in diagnosing breast cancer.
Methods
This prospective study included 89 consecutive patients with 97 lesions (76 malignant and 21 benign). Ultrafast dynamic contrast-enhanced (UF-DCE) imaging was performed on a 3-T MRI scanner using CAIPIRINHA-Dixon-TWIST-VIBE (CDTV) with a native temporal resolution of 4.5 s per phase. The CDTV data were downsampled at various temporal resolutions ranging from 9.0 to 58.5 s, creating eight additional datasets. Pharmacokinetic parameters, including Ktrans, kep, and ve, were calculated using Tofts model and population-based arterial input function (AIF). Paired-sample t-test with Bonferroni correction and ROC curves were used for statistical analysis.
Results
As temporal resolution decreased from 4.5 s, Ktrans and kep values increased, while ve values decreased. The AUCs of Ktrans, kep, and ve at 4.5-s temporal resolution were 0.648, 0.778, and 0.685, respectively. Temporal resolutions shorter than 18 s showed less than a 10 % deviation in Ktrans and kep of quantitative parameters compared to the 4.5-s reference. No significant difference was noted among AUC pairs for any of the parameters (corrected p > 0.00625).
Conclusions
Our results revealed that the temporal resolution significantly impacted pharmacokinetic parameters based on the population-based AIF from UF-DCE MRI. However, the diagnostic ability to characterize breast cancer might not be substantially affected. A temporal resolution shorter than 18 s is recommended for accurate calculation of pharmacokinetic parameters.
期刊介绍:
Magnetic Resonance Imaging (MRI) is the first international multidisciplinary journal encompassing physical, life, and clinical science investigations as they relate to the development and use of magnetic resonance imaging. MRI is dedicated to both basic research, technological innovation and applications, providing a single forum for communication among radiologists, physicists, chemists, biochemists, biologists, engineers, internists, pathologists, physiologists, computer scientists, and mathematicians.