Correlation between synthetic MRI relaxometry and apparent diffusion coefficient in breast cancer subtypes with different neoadjuvant therapy response
Abstract Background To evaluate the correlation between synthetic MRI (syMRI) relaxometry and apparent diffusion coefficient (ADC) maps in different breast cancer subtypes and treatment response subgroups. Methods Two hundred sixty-three neoadjuvant therapy (NAT)-treated breast cancer patients with...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2023-09-01
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| Series: | Insights into Imaging |
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| Online Access: | https://doi.org/10.1186/s13244-023-01492-9 |
| _version_ | 1797452385260404736 |
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| author | Wenhong Jiang Siyao Du Si Gao Lizhi Xie Zichuan Xie Mengfan Wang Can Peng Jing Shi Lina Zhang |
| author_facet | Wenhong Jiang Siyao Du Si Gao Lizhi Xie Zichuan Xie Mengfan Wang Can Peng Jing Shi Lina Zhang |
| author_sort | Wenhong Jiang |
| collection | DOAJ |
| description | Abstract Background To evaluate the correlation between synthetic MRI (syMRI) relaxometry and apparent diffusion coefficient (ADC) maps in different breast cancer subtypes and treatment response subgroups. Methods Two hundred sixty-three neoadjuvant therapy (NAT)-treated breast cancer patients with baseline MRI were enrolled. Tumor annotations were obtained by drawing regions of interest (ROIs) along the lesion on T1/T2/PD and ADC maps respectively. Histogram features from T1/T2/PD and ADC maps were respectively calculated, and the correlation between each pair of identical features was analyzed. Meanwhile, features between different NAT treatment response groups were compared, and their discriminatory power was evaluated. Results Among all patients, 20 out of 27 pairs of features weakly correlated (r = – 0.13–0.30). For triple-negative breast cancer (TNBC), features from PD map in the pathological complete response (pCR) group (r = 0.60–0.86) showed higher correlation with ADC than that of the non-pCR group (r = 0.30–0.43), and the mean from the ADC and PD maps in the pCR group strongly correlated (r = 0.86). For HER2-positive, few correlations were found both in the pCR and non-pCR groups. For luminal HER2-negative, T2 map correlated more with ADC than T1 and PD maps. Significant differences were seen in T2 low percentiles and median in the luminal-HER2 negative subtype, yielding moderate AUCs (0.68/0.72/0.71). Conclusions The relationship between ADC and PD maps in TNBC may indicate different NAT responses. The no-to-weak correlation between the ADC and syMRI suggests their complementary roles in tumor microenvironment evaluation. Critical relevance statement The relationship between ADC and PD maps in TNBC may indicate different NAT responses, and the no-to-weak correlation between the ADC and syMRI suggests their complementary roles in tumor microenvironment evaluation. Key points • The relationship between ADC and PD in TNBC indicates different NAT responses. • The no-to-weak correlations between ADC and syMRI complementarily evaluate tumor microenvironment. • T2 low percentiles and median predict NAT response in luminal-HER2-negative subtype. Graphical Abstract |
| first_indexed | 2024-03-09T15:07:37Z |
| format | Article |
| id | doaj.art-26895bfb81b84d9d8d69e2c1b80f7d8e |
| institution | Directory Open Access Journal |
| issn | 1869-4101 |
| language | English |
| last_indexed | 2024-03-09T15:07:37Z |
| publishDate | 2023-09-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Insights into Imaging |
| spelling | doaj.art-26895bfb81b84d9d8d69e2c1b80f7d8e2023-11-26T13:33:09ZengSpringerOpenInsights into Imaging1869-41012023-09-0114111210.1186/s13244-023-01492-9Correlation between synthetic MRI relaxometry and apparent diffusion coefficient in breast cancer subtypes with different neoadjuvant therapy responseWenhong Jiang0Siyao Du1Si Gao2Lizhi Xie3Zichuan Xie4Mengfan Wang5Can Peng6Jing Shi7Lina Zhang8Department of Radiology, The First Hospital of China Medical UniversityDepartment of Radiology, The First Hospital of China Medical UniversityDepartment of Radiology, The First Hospital of China Medical UniversityGE Healthcare, MR Research ChinaGuangzhou institute of technology, Xidian UniversityDepartment of Radiology, The First Hospital of China Medical UniversityDepartment of Radiology, The First Hospital of China Medical UniversityDepartment of Medical Oncology, The First Hospital of China Medical UniversityDepartment of Radiology, The First Hospital of China Medical UniversityAbstract Background To evaluate the correlation between synthetic MRI (syMRI) relaxometry and apparent diffusion coefficient (ADC) maps in different breast cancer subtypes and treatment response subgroups. Methods Two hundred sixty-three neoadjuvant therapy (NAT)-treated breast cancer patients with baseline MRI were enrolled. Tumor annotations were obtained by drawing regions of interest (ROIs) along the lesion on T1/T2/PD and ADC maps respectively. Histogram features from T1/T2/PD and ADC maps were respectively calculated, and the correlation between each pair of identical features was analyzed. Meanwhile, features between different NAT treatment response groups were compared, and their discriminatory power was evaluated. Results Among all patients, 20 out of 27 pairs of features weakly correlated (r = – 0.13–0.30). For triple-negative breast cancer (TNBC), features from PD map in the pathological complete response (pCR) group (r = 0.60–0.86) showed higher correlation with ADC than that of the non-pCR group (r = 0.30–0.43), and the mean from the ADC and PD maps in the pCR group strongly correlated (r = 0.86). For HER2-positive, few correlations were found both in the pCR and non-pCR groups. For luminal HER2-negative, T2 map correlated more with ADC than T1 and PD maps. Significant differences were seen in T2 low percentiles and median in the luminal-HER2 negative subtype, yielding moderate AUCs (0.68/0.72/0.71). Conclusions The relationship between ADC and PD maps in TNBC may indicate different NAT responses. The no-to-weak correlation between the ADC and syMRI suggests their complementary roles in tumor microenvironment evaluation. Critical relevance statement The relationship between ADC and PD maps in TNBC may indicate different NAT responses, and the no-to-weak correlation between the ADC and syMRI suggests their complementary roles in tumor microenvironment evaluation. Key points • The relationship between ADC and PD in TNBC indicates different NAT responses. • The no-to-weak correlations between ADC and syMRI complementarily evaluate tumor microenvironment. • T2 low percentiles and median predict NAT response in luminal-HER2-negative subtype. Graphical Abstracthttps://doi.org/10.1186/s13244-023-01492-9Synthetic magnetic resonance imagingApparent diffusion coefficientBreast cancerNeoadjuvant therapy |
| spellingShingle | Wenhong Jiang Siyao Du Si Gao Lizhi Xie Zichuan Xie Mengfan Wang Can Peng Jing Shi Lina Zhang Correlation between synthetic MRI relaxometry and apparent diffusion coefficient in breast cancer subtypes with different neoadjuvant therapy response Insights into Imaging Synthetic magnetic resonance imaging Apparent diffusion coefficient Breast cancer Neoadjuvant therapy |
| title | Correlation between synthetic MRI relaxometry and apparent diffusion coefficient in breast cancer subtypes with different neoadjuvant therapy response |
| title_full | Correlation between synthetic MRI relaxometry and apparent diffusion coefficient in breast cancer subtypes with different neoadjuvant therapy response |
| title_fullStr | Correlation between synthetic MRI relaxometry and apparent diffusion coefficient in breast cancer subtypes with different neoadjuvant therapy response |
| title_full_unstemmed | Correlation between synthetic MRI relaxometry and apparent diffusion coefficient in breast cancer subtypes with different neoadjuvant therapy response |
| title_short | Correlation between synthetic MRI relaxometry and apparent diffusion coefficient in breast cancer subtypes with different neoadjuvant therapy response |
| title_sort | correlation between synthetic mri relaxometry and apparent diffusion coefficient in breast cancer subtypes with different neoadjuvant therapy response |
| topic | Synthetic magnetic resonance imaging Apparent diffusion coefficient Breast cancer Neoadjuvant therapy |
| url | https://doi.org/10.1186/s13244-023-01492-9 |
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