Lei Bao, Sijie Li, Zhuo Wang, Yang Sun, Ying Qiu, Zhiwei Shen, Xiaoxiao Zhang, Xue Chen, Xiaoxiao Zhang, Junyu Zhang, Tiefeng Ji
{"title":"时间依赖扩散MRI在乳腺肿瘤定量显微结构定位中的优势。","authors":"Lei Bao, Sijie Li, Zhuo Wang, Yang Sun, Ying Qiu, Zhiwei Shen, Xiaoxiao Zhang, Xue Chen, Xiaoxiao Zhang, Junyu Zhang, Tiefeng Ji","doi":"10.3389/fonc.2025.1537529","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>Time-dependent diffusion MRI (TD-MRI) can measure tumor tissue microstructure, but its effectiveness in differentiating benign from malignant breast tumors is unclear. This study aims to investigate the diagnostic value of TD-MRI microstructural features for distinguishing between benign and malignant breast tumors.</p><p><strong>Methods: </strong>This prospective study included 44 patients with malignant breast tumors and 28 with benign tumors. All subjects underwent the IMPULSED protocol on a 3.0-T MRI scanner. Imaging data were analyzed using least squares fitting in MATLAB, yielding Dex (extracellular diffusivity), Vin (intracellular volume fraction), Dmean (cell diameter), Vin/Dmean, and ADC values. The molecular subtypes of breast cancer are classified based on immunohistochemistry (IHC) results.</p><p><strong>Results: </strong>Malignant tumors exhibited significantly lower Dmean (17.37 ± 2.74 µm <i>vs.</i> 22.47 ± 3.85µm, p<0.0001), higher Vin (0.41 ± 0.13% <i>vs.</i> 0.19 ± 0.10%, p<0.0001), and higher Vin/Dmean (2.13 ± 0.66 <i>vs.</i> 0.93 ± 0.61, p<0.0001) compared to benign tumors. No significant difference was found in Dex (2.15 ± 0.28 um<sup>2</sup>/ms <i>vs.</i> 2.25 ± 0.31 um<sup>2</sup>/ms, p>0.05). Strong correlations were observed: positive between ADC and Dmean, and negative between ADC and both Vin and Vin/Dmean. AUC values for Vin (0.92; 95% CI: 0.86-0.99), and Vin/Dmean (0.91; 95% CI: 0.83-0.98) surpassed those for ADC.</p><p><strong>Conclusion: </strong>TD-MRI microstructure mapping effectively differentiates benign from malignant breast tumors, highlighting its potential to improve diagnostic accuracy for lesions.</p>","PeriodicalId":12482,"journal":{"name":"Frontiers in Oncology","volume":"15 ","pages":"1537529"},"PeriodicalIF":3.5000,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11975858/pdf/","citationCount":"0","resultStr":"{\"title\":\"Advantages of time-dependent diffusion MRI for quantitative microstructural mapping in breast tumors.\",\"authors\":\"Lei Bao, Sijie Li, Zhuo Wang, Yang Sun, Ying Qiu, Zhiwei Shen, Xiaoxiao Zhang, Xue Chen, Xiaoxiao Zhang, Junyu Zhang, Tiefeng Ji\",\"doi\":\"10.3389/fonc.2025.1537529\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>Time-dependent diffusion MRI (TD-MRI) can measure tumor tissue microstructure, but its effectiveness in differentiating benign from malignant breast tumors is unclear. This study aims to investigate the diagnostic value of TD-MRI microstructural features for distinguishing between benign and malignant breast tumors.</p><p><strong>Methods: </strong>This prospective study included 44 patients with malignant breast tumors and 28 with benign tumors. All subjects underwent the IMPULSED protocol on a 3.0-T MRI scanner. Imaging data were analyzed using least squares fitting in MATLAB, yielding Dex (extracellular diffusivity), Vin (intracellular volume fraction), Dmean (cell diameter), Vin/Dmean, and ADC values. The molecular subtypes of breast cancer are classified based on immunohistochemistry (IHC) results.</p><p><strong>Results: </strong>Malignant tumors exhibited significantly lower Dmean (17.37 ± 2.74 µm <i>vs.</i> 22.47 ± 3.85µm, p<0.0001), higher Vin (0.41 ± 0.13% <i>vs.</i> 0.19 ± 0.10%, p<0.0001), and higher Vin/Dmean (2.13 ± 0.66 <i>vs.</i> 0.93 ± 0.61, p<0.0001) compared to benign tumors. No significant difference was found in Dex (2.15 ± 0.28 um<sup>2</sup>/ms <i>vs.</i> 2.25 ± 0.31 um<sup>2</sup>/ms, p>0.05). Strong correlations were observed: positive between ADC and Dmean, and negative between ADC and both Vin and Vin/Dmean. AUC values for Vin (0.92; 95% CI: 0.86-0.99), and Vin/Dmean (0.91; 95% CI: 0.83-0.98) surpassed those for ADC.</p><p><strong>Conclusion: </strong>TD-MRI microstructure mapping effectively differentiates benign from malignant breast tumors, highlighting its potential to improve diagnostic accuracy for lesions.</p>\",\"PeriodicalId\":12482,\"journal\":{\"name\":\"Frontiers in Oncology\",\"volume\":\"15 \",\"pages\":\"1537529\"},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2025-03-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11975858/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontiers in Oncology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.3389/fonc.2025.1537529\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Oncology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3389/fonc.2025.1537529","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
Advantages of time-dependent diffusion MRI for quantitative microstructural mapping in breast tumors.
Objectives: Time-dependent diffusion MRI (TD-MRI) can measure tumor tissue microstructure, but its effectiveness in differentiating benign from malignant breast tumors is unclear. This study aims to investigate the diagnostic value of TD-MRI microstructural features for distinguishing between benign and malignant breast tumors.
Methods: This prospective study included 44 patients with malignant breast tumors and 28 with benign tumors. All subjects underwent the IMPULSED protocol on a 3.0-T MRI scanner. Imaging data were analyzed using least squares fitting in MATLAB, yielding Dex (extracellular diffusivity), Vin (intracellular volume fraction), Dmean (cell diameter), Vin/Dmean, and ADC values. The molecular subtypes of breast cancer are classified based on immunohistochemistry (IHC) results.
Results: Malignant tumors exhibited significantly lower Dmean (17.37 ± 2.74 µm vs. 22.47 ± 3.85µm, p<0.0001), higher Vin (0.41 ± 0.13% vs. 0.19 ± 0.10%, p<0.0001), and higher Vin/Dmean (2.13 ± 0.66 vs. 0.93 ± 0.61, p<0.0001) compared to benign tumors. No significant difference was found in Dex (2.15 ± 0.28 um2/ms vs. 2.25 ± 0.31 um2/ms, p>0.05). Strong correlations were observed: positive between ADC and Dmean, and negative between ADC and both Vin and Vin/Dmean. AUC values for Vin (0.92; 95% CI: 0.86-0.99), and Vin/Dmean (0.91; 95% CI: 0.83-0.98) surpassed those for ADC.
Conclusion: TD-MRI microstructure mapping effectively differentiates benign from malignant breast tumors, highlighting its potential to improve diagnostic accuracy for lesions.
期刊介绍：
Cancer Imaging and Diagnosis is dedicated to the publication of results from clinical and research studies applied to cancer diagnosis and treatment. The section aims to publish studies from the entire field of cancer imaging: results from routine use of clinical imaging in both radiology and nuclear medicine, results from clinical trials, experimental molecular imaging in humans and small animals, research on new contrast agents in CT, MRI, ultrasound, publication of new technical applications and processing algorithms to improve the standardization of quantitative imaging and image guided interventions for the diagnosis and treatment of cancer.
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