Pub Date : 2025-01-03DOI: 10.1016/j.mri.2025.110322
Adam M. Saunders , Michael E. Kim , Chenyu Gao , Lucas W. Remedios , Aravind R. Krishnan , Kurt G. Schilling , Kristin P. O'Grady , Seth A. Smith , Bennett A. Landman
While typical qualitative T1-weighted magnetic resonance images reflect scanner and protocol differences, quantitative T1 mapping aims to measure T1 independent of these effects. Changes in T1 in the brain reflect structural changes in brain tissue. Magnetization-prepared two rapid acquisition gradient echo (MP2RAGE) is an acquisition protocol that allows for efficient T1 mapping with a much lower scan time per slab compared to multi-TI inversion recovery (IR) protocols. We collect and register B1-corrected MP2RAGE acquisitions with an additional inversion time (MP3RAGE) alongside multi-TI selective inversion recovery acquisitions for four subjects. We use a maximum a posteriori (MAP) T1 estimation method for both MP2RAGE and compare to typical point estimate MP2RAGE T1 mapping, finding no bias from MAP MP2RAGE but a sensitivity to inhomogeneities with MAP MP3RAGE. We demonstrate a tissue-dependent bias between MAP MP2RAGE T1 estimates and the multi-TI inversion recovery T1 values. To correct this bias, we train a patch-based ResNet-18 to calibrate the MAP MP2RAGE T1 estimates to the multi-TI IR T1 values. Across four folds, our network reduces the RMSE significantly (white matter: from 0.30 ± 0.01 s to 0.11 ± 0.02 s, subcortical gray matter: from 0.26 ± 0.02 s to 0.10 ± 0.02 s, cortical gray matter: from 0.36 ± 0.02 s to 0.17 ± 0.03 s). Using limited paired training data from both sequences, we can reduce the error between quantitative imaging methods and calibrate to one of the protocols with a neural network.
{"title":"Comparison and calibration of MP2RAGE quantitative T1 values to multi-TI inversion recovery T1 values","authors":"Adam M. Saunders , Michael E. Kim , Chenyu Gao , Lucas W. Remedios , Aravind R. Krishnan , Kurt G. Schilling , Kristin P. O'Grady , Seth A. Smith , Bennett A. Landman","doi":"10.1016/j.mri.2025.110322","DOIUrl":"10.1016/j.mri.2025.110322","url":null,"abstract":"<div><div>While typical qualitative T1-weighted magnetic resonance images reflect scanner and protocol differences, quantitative T1 mapping aims to measure T1 independent of these effects. Changes in T1 in the brain reflect structural changes in brain tissue. Magnetization-prepared two rapid acquisition gradient echo (MP2RAGE) is an acquisition protocol that allows for efficient T1 mapping with a much lower scan time per slab compared to multi-TI inversion recovery (IR) protocols. We collect and register B1-corrected MP2RAGE acquisitions with an additional inversion time (MP3RAGE) alongside multi-TI selective inversion recovery acquisitions for four subjects. We use a maximum a posteriori (MAP) T1 estimation method for both MP2RAGE and compare to typical point estimate MP2RAGE T1 mapping, finding no bias from MAP MP2RAGE but a sensitivity to <span><math><msubsup><mi>B</mi><mn>1</mn><mo>+</mo></msubsup></math></span> inhomogeneities with MAP MP3RAGE. We demonstrate a tissue-dependent bias between MAP MP2RAGE T1 estimates and the multi-TI inversion recovery T1 values. To correct this bias, we train a patch-based ResNet-18 to calibrate the MAP MP2RAGE T1 estimates to the multi-TI IR T1 values. Across four folds, our network reduces the RMSE significantly (white matter: from 0.30 ± 0.01 s to 0.11 ± 0.02 s, subcortical gray matter: from 0.26 ± 0.02 s to 0.10 ± 0.02 s, cortical gray matter: from 0.36 ± 0.02 s to 0.17 ± 0.03 s). Using limited paired training data from both sequences, we can reduce the error between quantitative imaging methods and calibrate to one of the protocols with a neural network.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"117 ","pages":"Article 110322"},"PeriodicalIF":2.1,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142931936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-03DOI: 10.1016/j.mri.2025.110320
Qiuju Fan , Hui Tan , Zhongxu Zhang , Xingui Feng , Nan Yu , Yong Yu , Shaoyu Wang , Guangming Ma
Objective
To develop a novel combined nomogram based on 3D multi-echo Dixon (qDixon), magnetization transfer imaging (MTI) and clinical risk factors for the diagnosis of osteoporosis.
Materials and methods
A total of 287 subjects who underwent MR examination with qDixon and MTI sequences participated in this study. These participants were randomly assigned to a training cohort and a validation cohort at a ratio of 7:3. We extracted and analyzed the bone marrow fat fraction (FF) and magnetization transfer ratio (MTR) of L1 ∼ 3 vertebrae, along with clinical data. Univariate and multivariate logistic regression analyses was used to assess independent predictors of OP in the training cohort. We established a diagnostic nomogram and evaluated its performance in terms of discrimination, calibration, and clinical value using the receiver operating characteristic curve (ROC) and calibration curve. Decision curve analysis (DCA) was performed to determine the clinical validity of the nomogram by measuring the net benefits at different threshold probabilities.
Results
Gender, age, FF, and MTR (all P﹤0.05) emerged as independent indicators for diagnosing osteoporosis. The AUCs for the FF, MTR, FF + MTR, and nomogram models were 0.842, 0.903, 0.923, and 0.941, respectively, in the training cohort and 0.779, 0.872, 0.901, and 0.929, respectively, in the validation cohort. The nomogram model exhibited good calibration and discrimination. DCA revealed that the nomogram model yielded a higher net benefit than the FF and MTR models.
Conclusion
The nomogram model, integrating qDixon, MTI, and clinical parameters, could serve as a reliable tool for diagnosing the individual risk for the osteoporosis in the elderly.
{"title":"Development and validation of a diagnostic nomogram model for osteoporosis in the elderly using 3D multi-echo Dixon sequence combined with magnetization transfer imaging","authors":"Qiuju Fan , Hui Tan , Zhongxu Zhang , Xingui Feng , Nan Yu , Yong Yu , Shaoyu Wang , Guangming Ma","doi":"10.1016/j.mri.2025.110320","DOIUrl":"10.1016/j.mri.2025.110320","url":null,"abstract":"<div><h3>Objective</h3><div>To develop a novel combined nomogram based on 3D multi-echo Dixon (qDixon), magnetization transfer imaging (MTI) and clinical risk factors for the diagnosis of osteoporosis.</div></div><div><h3>Materials and methods</h3><div>A total of 287 subjects who underwent MR examination with qDixon and MTI sequences participated in this study. These participants were randomly assigned to a training cohort and a validation cohort at a ratio of 7:3. We extracted and analyzed the bone marrow fat fraction (FF) and magnetization transfer ratio (MTR) of L1 ∼ 3 vertebrae, along with clinical data. Univariate and multivariate logistic regression analyses was used to assess independent predictors of OP in the training cohort. We established a diagnostic nomogram and evaluated its performance in terms of discrimination, calibration, and clinical value using the receiver operating characteristic curve (ROC) and calibration curve. Decision curve analysis (DCA) was performed to determine the clinical validity of the nomogram by measuring the net benefits at different threshold probabilities.</div></div><div><h3>Results</h3><div>Gender, age, FF, and MTR (all <em>P</em>﹤0.05) emerged as independent indicators for diagnosing osteoporosis. The AUCs for the FF, MTR, FF + MTR, and nomogram models were 0.842, 0.903, 0.923, and 0.941, respectively, in the training cohort and 0.779, 0.872, 0.901, and 0.929, respectively, in the validation cohort. The nomogram model exhibited good calibration and discrimination. DCA revealed that the nomogram model yielded a higher net benefit than the FF and MTR models.</div></div><div><h3>Conclusion</h3><div>The nomogram model, integrating qDixon, MTI, and clinical parameters, could serve as a reliable tool for diagnosing the individual risk for the osteoporosis in the elderly.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"117 ","pages":"Article 110320"},"PeriodicalIF":2.1,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142931943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-03DOI: 10.1016/j.mri.2025.110319
Máté Csomós , Dániel Veréb , Krisztián Kocsis , Péter Faragó , Eszter Tóth , Szabolcs István Antal , Bence Bozsik , Bernadett Tuka , András Király , Nikoletta Szabó , Zsigmond Tamás Kincses
Background
In the inflammatory process of multiple sclerosis (MS) several toxic waste products are generated. The clearance of these products might depend on the glymphatic system; however, it's preserved function in MS is uncertain. Recently, it was suggested that this ‘waste clearance’ system can be examined by measuring the diffusion along the perivascular space (ALPS) index.
Methods
Reproducibility of the ALPS index was tested with intraclass correlation on two open-source datasets with two methods: calculating ALPS indices from the skeleton map (sk-ALPS) and via registration to the common space (ro-ALPS).
ALPS indices of 66 MS patient were calculated via the reorientation method. Spearman's correlation and partial least squares regression were applied to reveal the connection between the ALPS indices and the radiological (lesion count) and clinical parameters (SDMT, BVMT, CVLT, EDSS, disease duration) of the patients.
Results
Repeatability of the ALPS index calculated by the ro-ALPS method is the most reliable (ICC: 0.961). Significant correlation was found between the left ALPS index and SDMT. On the right side, significant correlation was found between the ALPS index and the number of periventricular lesions and black holes. The most important predictors of EDSS are disease duration, age, SDMT and infratentorial lesion count.
Conclusion
Reproducibility of the ALPS index ranges from ‘good’ to ‘excellent’. No relationship was found between the ALPS index and clinical disability. A lateralization was observed with cognitive characteristics on the left sided ALPS index and radiological characteristics on the right sided ALPS index.
{"title":"Evaluation of the glymphatic system in relapsing remitting multiple sclerosis by measuring the diffusion along the perivascular space","authors":"Máté Csomós , Dániel Veréb , Krisztián Kocsis , Péter Faragó , Eszter Tóth , Szabolcs István Antal , Bence Bozsik , Bernadett Tuka , András Király , Nikoletta Szabó , Zsigmond Tamás Kincses","doi":"10.1016/j.mri.2025.110319","DOIUrl":"10.1016/j.mri.2025.110319","url":null,"abstract":"<div><h3>Background</h3><div>In the inflammatory process of multiple sclerosis (MS) several toxic waste products are generated. The clearance of these products might depend on the glymphatic system; however, it's preserved function in MS is uncertain. Recently, it was suggested that this ‘waste clearance’ system can be examined by measuring the diffusion along the perivascular space (ALPS) index.</div></div><div><h3>Methods</h3><div>Reproducibility of the ALPS index was tested with intraclass correlation on two open-source datasets with two methods: calculating ALPS indices from the skeleton map (sk-ALPS) and via registration to the common space (ro-ALPS).</div><div>ALPS indices of 66 MS patient were calculated via the reorientation method. Spearman's correlation and partial least squares regression were applied to reveal the connection between the ALPS indices and the radiological (lesion count) and clinical parameters (SDMT, BVMT, CVLT, EDSS, disease duration) of the patients.</div></div><div><h3>Results</h3><div>Repeatability of the ALPS index calculated by the ro-ALPS method is the most reliable (ICC: 0.961). Significant correlation was found between the left ALPS index and SDMT. On the right side, significant correlation was found between the ALPS index and the number of periventricular lesions and black holes. The most important predictors of EDSS are disease duration, age, SDMT and infratentorial lesion count.</div></div><div><h3>Conclusion</h3><div>Reproducibility of the ALPS index ranges from ‘good’ to ‘excellent’. No relationship was found between the ALPS index and clinical disability. A lateralization was observed with cognitive characteristics on the left sided ALPS index and radiological characteristics on the right sided ALPS index.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"117 ","pages":"Article 110319"},"PeriodicalIF":2.1,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142932012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-29DOI: 10.1016/j.mri.2024.110318
Paulina Śledzińska-Bebyn , Jacek Furtak , Marek Bebyn , Alicja Bartoszewska-Kubiak , Zbigniew Serafin
<div><h3>Background</h3><div>Brain tumors exhibit diverse genetic landscapes and hemodynamic properties, influencing diagnosis and treatment outcomes.</div></div><div><h3>Purpose</h3><div>To explore the relationship between MRI perfusion metrics (rCBV, rCBF), genetic markers, and contrast enhancement patterns in gliomas, aiming to enhance diagnostic accuracy and inform personalized therapeutic strategies. Additionally, other radiological features, such as the T2/FLAIR mismatch sign, are evaluated for their predictive utility in <em>IDH</em> mutations.</div></div><div><h3>Study type</h3><div>Retrospective cohort study.</div></div><div><h3>Population</h3><div>67 patients with brain tumors (including glioblastoma, astrocytoma, oligodendroglioma) undergoing surgical resection.</div></div><div><h3>Field strength</h3><div>1.5 Tesla MRI, including T1 pre- and post-contrast, FLAIR, DWI, and DSC sequences.</div></div><div><h3>Assessment</h3><div>Semiquantitative perfusion metrics (rCBV, rCBF) were evaluated against genetic markers (<em>IDH1</em>, <em>EGFR</em>, <em>CDKN2A</em>, <em>PDGFRA</em>, <em>MGMT</em>, <em>TERT</em>, 1p19q, <em>PTEN</em>, <em>TP53</em>, <em>H3F3A</em>) through advanced MRI techniques. Contrast enhancement was assessed, and genetic alterations were confirmed via histopathological and molecular analyses.</div></div><div><h3>Statistical tests</h3><div>Chi-square test, sensitivity, specificity, and ROC analysis for predictive modeling; significance level set at <em>p</em> < 0.05.</div></div><div><h3>Results</h3><div>Statistically significant differences in perfusion metrics were observed among tumors with distinct genetic profiles, with primary tumors and those harboring specific mutations (<em>IDH1</em> wildtype, <em>EGFR</em> amplification, <em>CDKN2A</em> homozygous deletion, <em>PDGFRA</em> amplification) showing higher perfusion values. A cut-off value of <4 for rCBV in predicting <em>IDH1</em> mutation yielded a sensitivity of 61.5 % and specificity of 82.1 %. For <em>CDKN2A</em> deletion, a cut-off of >5 resulted in a sensitivity of 75 % and specificity of 74.6 %, with an ROC value of 0.78.</div></div><div><h3>Data conclusion</h3><div>Integrating perfusion MRI with genetic analysis offers a promising approach to improving the diagnostic and therapeutic landscape for brain tumors, indicating a substantial step toward personalized neuro-oncology. Additionally, findings like the T2/FLAIR mismatch sign highlight the potential for preoperative molecular predictions when biopsy is not feasible. These findings support further validation in larger, multi-institutional studies to solidify their role in clinical practice.</div></div><div><h3>Data conclusion</h3><div>Integrating perfusion MRI with genetic analysis offers a promising approach to improving the diagnostic and therapeutic landscape for brain tumors, indicating a substantial step toward personalized neuro-oncology. These findings support further validation in larger, m
{"title":"Investigating glioma genetics through perfusion MRI: rCBV and rCBF as predictive biomarkers","authors":"Paulina Śledzińska-Bebyn , Jacek Furtak , Marek Bebyn , Alicja Bartoszewska-Kubiak , Zbigniew Serafin","doi":"10.1016/j.mri.2024.110318","DOIUrl":"10.1016/j.mri.2024.110318","url":null,"abstract":"<div><h3>Background</h3><div>Brain tumors exhibit diverse genetic landscapes and hemodynamic properties, influencing diagnosis and treatment outcomes.</div></div><div><h3>Purpose</h3><div>To explore the relationship between MRI perfusion metrics (rCBV, rCBF), genetic markers, and contrast enhancement patterns in gliomas, aiming to enhance diagnostic accuracy and inform personalized therapeutic strategies. Additionally, other radiological features, such as the T2/FLAIR mismatch sign, are evaluated for their predictive utility in <em>IDH</em> mutations.</div></div><div><h3>Study type</h3><div>Retrospective cohort study.</div></div><div><h3>Population</h3><div>67 patients with brain tumors (including glioblastoma, astrocytoma, oligodendroglioma) undergoing surgical resection.</div></div><div><h3>Field strength</h3><div>1.5 Tesla MRI, including T1 pre- and post-contrast, FLAIR, DWI, and DSC sequences.</div></div><div><h3>Assessment</h3><div>Semiquantitative perfusion metrics (rCBV, rCBF) were evaluated against genetic markers (<em>IDH1</em>, <em>EGFR</em>, <em>CDKN2A</em>, <em>PDGFRA</em>, <em>MGMT</em>, <em>TERT</em>, 1p19q, <em>PTEN</em>, <em>TP53</em>, <em>H3F3A</em>) through advanced MRI techniques. Contrast enhancement was assessed, and genetic alterations were confirmed via histopathological and molecular analyses.</div></div><div><h3>Statistical tests</h3><div>Chi-square test, sensitivity, specificity, and ROC analysis for predictive modeling; significance level set at <em>p</em> < 0.05.</div></div><div><h3>Results</h3><div>Statistically significant differences in perfusion metrics were observed among tumors with distinct genetic profiles, with primary tumors and those harboring specific mutations (<em>IDH1</em> wildtype, <em>EGFR</em> amplification, <em>CDKN2A</em> homozygous deletion, <em>PDGFRA</em> amplification) showing higher perfusion values. A cut-off value of <4 for rCBV in predicting <em>IDH1</em> mutation yielded a sensitivity of 61.5 % and specificity of 82.1 %. For <em>CDKN2A</em> deletion, a cut-off of >5 resulted in a sensitivity of 75 % and specificity of 74.6 %, with an ROC value of 0.78.</div></div><div><h3>Data conclusion</h3><div>Integrating perfusion MRI with genetic analysis offers a promising approach to improving the diagnostic and therapeutic landscape for brain tumors, indicating a substantial step toward personalized neuro-oncology. Additionally, findings like the T2/FLAIR mismatch sign highlight the potential for preoperative molecular predictions when biopsy is not feasible. These findings support further validation in larger, multi-institutional studies to solidify their role in clinical practice.</div></div><div><h3>Data conclusion</h3><div>Integrating perfusion MRI with genetic analysis offers a promising approach to improving the diagnostic and therapeutic landscape for brain tumors, indicating a substantial step toward personalized neuro-oncology. These findings support further validation in larger, m","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"117 ","pages":"Article 110318"},"PeriodicalIF":2.1,"publicationDate":"2024-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142909852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-24DOI: 10.1016/j.mri.2024.110317
Liangyu Ji , Lingnan Kong , Xuan Zhang , Xiangxun Chen , Chao Lu , Feiyun Wu , Ran Tang , Meng Zhao
Background and purpose
Punctate White Matter Lesion (PWML) is common in neonates. Multi-parametric MR imaging with flexible design (MULTIPLEX, MTP) generates multiple contrasts requires only about 6 min for full-head coverage. This study aimed to evaluate the value of T1WI and aT1WI contrasts of MTP in detecting neonatal punctate white matter lesions.
Materials and methods
Twenty-one neonates with punctate white matter damage underwent multi-parametric MR imaging between November 2022 to July 2024. For subjective image quality, two pediatric neuroradiologists assessed overall image quality, and visualization of structures using a 4-point assessment scale. To analyze objective image quality, the signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), contrast, number and sharpness of lesions were quantified.
Results
With regard to sharpness of the lesion, MTP T1WI and aT1WI are comparable to conventional T1W. For subjective assessment, MTP-T1WI exhibited superior overall image quality and anatomical structure display compared to conventional T1WI (P < 0.01). Regarding objective assessment, MTP-T1WI had significantly higher SNR values for gray matter, white matter and lesions than the other two groups. The CNR values of MTP-T1WI and MTP-aT1WI of the white matter to lesion (WM-Lesion) were higher than conventional T1WI. The contrast of aT1WI surpassed that of the other two groups in WM-Lesion contrast. MTP-aT1W can detect more white matter lesions than conventional T1WI (conventional T1WI vs MTP-T1WI vs MTP-aT1WI,123 vs 165 vs 161).
Conclusions
The MTP-T1W and aT1W images can enhance lesion contrast and precisely delineate the extent and boundaries of the lesions, and could be more sensitive to PWML than conventional T1WI.
{"title":"Application of T1-weighted and augmented T1-weighted images of multi-parametric MR sequence in detecting neonatal punctate white matter lesions","authors":"Liangyu Ji , Lingnan Kong , Xuan Zhang , Xiangxun Chen , Chao Lu , Feiyun Wu , Ran Tang , Meng Zhao","doi":"10.1016/j.mri.2024.110317","DOIUrl":"10.1016/j.mri.2024.110317","url":null,"abstract":"<div><h3>Background and purpose</h3><div>Punctate White Matter Lesion (PWML) is common in neonates. Multi-parametric MR imaging with flexible design (MULTIPLEX, MTP) generates multiple contrasts requires only about 6 min for full-head coverage. This study aimed to evaluate the value of T1WI and aT1WI contrasts of MTP in detecting neonatal punctate white matter lesions.</div></div><div><h3>Materials and methods</h3><div>Twenty-one neonates with punctate white matter damage underwent multi-parametric MR imaging between November 2022 to July 2024. For subjective image quality, two pediatric neuroradiologists assessed overall image quality, and visualization of structures using a 4-point assessment scale. To analyze objective image quality, the signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), contrast, number and sharpness of lesions were quantified.</div></div><div><h3>Results</h3><div>With regard to sharpness of the lesion, MTP T1WI and aT1WI are comparable to conventional T1W. For subjective assessment, MTP-T1WI exhibited superior overall image quality and anatomical structure display compared to conventional T1WI (<em>P</em> < 0.01). Regarding objective assessment, MTP-T1WI had significantly higher SNR values for gray matter, white matter and lesions than the other two groups. The CNR values of MTP-T1WI and MTP-aT1WI of the white matter to lesion (WM-Lesion) were higher than conventional T1WI. The contrast of aT1WI surpassed that of the other two groups in WM-Lesion contrast. MTP-aT1W can detect more white matter lesions than conventional T1WI (conventional T1WI vs MTP-T1WI vs MTP-aT1WI,123 vs 165 vs 161).</div></div><div><h3>Conclusions</h3><div>The MTP-T1W and aT1W images can enhance lesion contrast and precisely delineate the extent and boundaries of the lesions, and could be more sensitive to PWML than conventional T1WI.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"117 ","pages":"Article 110317"},"PeriodicalIF":2.1,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142895752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-21DOI: 10.1016/j.mri.2024.110316
Yitian Xiao , Fan Yang , Qiao Deng , Yue Ming , Lu Tang , Shuting Yue , Zheng Li , Bo Zhang , Huilou Liang , Juan Huang , Jiayu Sun
Purpose
To evaluate the feasibility of multiplexed sensitivity-encoding (MUSE) with deep learning-based reconstruction (DLR) for breast imaging in comparison with conventional diffusion-weighted imaging (DWI) and MUSE alone.
Methods
This study was conducted using conventional single-shot DWI and MUSE data of female participants who underwent breast magnetic resonance imaging (MRI) from June to December 2023. The k-space data in MUSE were reconstructed using both conventional reconstruction and DLR. Two experienced radiologists conducted quantitative analyses of DWI, MUSE, and MUSE-DLR images by obtaining the signal-to-noise ratio (SNR) and the contrast-to-noise ratio (CNR) of lesions and normal tissue and qualitative analyses by using a 5-point Likert scale to assess the image quality. Inter-reader agreement was assessed using the intraclass correlation coefficient (ICC). Image scores, SNR, CNR, and apparent diffusion coefficient (ADC) measurements among the three sequences were compared using the Friedman test, with significance defined at P < 0.05.
Results
In evaluations of the images of 51 female participants using the three sequences, the two radiologists exhibited good agreement (ICC = 0.540–1.000, P < 0.05). MUSE-DLR showed significantly better SNR than MUSE (P < 0.001), while the ADC values within lesions and tissues did not differ significantly among the three sequences (P = 0.924, P = 0.636, respectively). In the subjective assessments, MUSE and MUSE-DLR scored significantly higher than conventional DWI in overall image quality, geometric distortion and axillary lymph node (P < 0.001).
Conclusion
In comparison with conventional DWI, MUSE-DLR yielded improved image quality with only a slightly longer acquisition time.
{"title":"Comparison of conventional diffusion-weighted imaging and multiplexed sensitivity-encoding combined with deep learning-based reconstruction in breast magnetic resonance imaging","authors":"Yitian Xiao , Fan Yang , Qiao Deng , Yue Ming , Lu Tang , Shuting Yue , Zheng Li , Bo Zhang , Huilou Liang , Juan Huang , Jiayu Sun","doi":"10.1016/j.mri.2024.110316","DOIUrl":"10.1016/j.mri.2024.110316","url":null,"abstract":"<div><h3>Purpose</h3><div>To evaluate the feasibility of multiplexed sensitivity-encoding (MUSE) with deep learning-based reconstruction (DLR) for breast imaging in comparison with conventional diffusion-weighted imaging (DWI) and MUSE alone.</div></div><div><h3>Methods</h3><div>This study was conducted using conventional single-shot DWI and MUSE data of female participants who underwent breast magnetic resonance imaging (MRI) from June to December 2023. The k-space data in MUSE were reconstructed using both conventional reconstruction and DLR. Two experienced radiologists conducted quantitative analyses of DWI, MUSE, and MUSE-DLR images by obtaining the signal-to-noise ratio (SNR) and the contrast-to-noise ratio (CNR) of lesions and normal tissue and qualitative analyses by using a 5-point Likert scale to assess the image quality. Inter-reader agreement was assessed using the intraclass correlation coefficient (ICC). Image scores, SNR, CNR, and apparent diffusion coefficient (ADC) measurements among the three sequences were compared using the Friedman test, with significance defined at <em>P</em> < 0.05.</div></div><div><h3>Results</h3><div>In evaluations of the images of 51 female participants using the three sequences, the two radiologists exhibited good agreement (ICC = 0.540–1.000, <em>P</em> < 0.05). MUSE-DLR showed significantly better SNR than MUSE (<em>P</em> < 0.001), while the ADC values within lesions and tissues did not differ significantly among the three sequences (<em>P</em> = 0.924, <em>P</em> = 0.636, respectively). In the subjective assessments, MUSE and MUSE-DLR scored significantly higher than conventional DWI in overall image quality, geometric distortion and axillary lymph node (<em>P</em> < 0.001).</div></div><div><h3>Conclusion</h3><div>In comparison with conventional DWI, MUSE-DLR yielded improved image quality with only a slightly longer acquisition time.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"117 ","pages":"Article 110316"},"PeriodicalIF":2.1,"publicationDate":"2024-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142882415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-21DOI: 10.1016/j.mri.2024.110315
Lanyue Chen , Wei Li , Xiaobo Ma , Xiaoxia Qu , Dandan Zheng , Zhaohui Liu
Purpose
To evaluate cerebrospinal fluid (CSF) flow dynamics and volume changes of pulsatile tinnitus (PT) patients induced by sigmoid sinus wall dehiscence (SSWD) with intracranial hypertension.
Methods
Thirty-five SSWD-PT patients coexisted with intracranial hypertension and 35, age-, gender-, and handedness-matched healthy volunteers were prospectively enrolled and performed MRI. Clinical data were collected. CSF flow dynamics were evaluated by phase-contrast magnetic resonance imaging (PC-MRI) and CSF volume was measured using ITK-SNAP software.
Results
Compared with controls, the body mass index (BMI) of PT patients increased significantly (P = 0.046). Among CSF flow dynamics, PT patients presented significantly decreased mean flux (MF) (P = 0.017), mean velocity (MV) (P = 0.038), peak velocity (PV) (P = 0.023), and significantly increased regurgitant fraction (RF) (P = 0.010) than controls. There were no significant differences in other CSF flow dynamics parameters between the groups. CSF volume of PT patients was significantly increased than controls (P = 0.024). RF and CSF volume had potential diagnostic value. The AUC, sensitivity, specificity and accuracy of RF and CSF volume were 0.678, 68.6 %, 60.0 %, 61.4 % and 0.656, 68.6 %, 57.1 %, 55.7 %, respectively. The combined diagnostic efficacy of RF and CSF volume was highest, and the AUC, sensitivity, specificity and accuracy were 0.733, 74.3 %, 62.9 %, 67.1 % respectively.
Conclusion
SSWD-PT patients present CSF flow dynamics and volume changes, which may be related to the occurrence of PT. In addition to structural abnormalities, the combination of RF and CSF volume can be innovative as a complementary index to identify SSWD as the accurate etiology of PT.
{"title":"Cerebrospinal fluid flow dynamics and volume changes are related with sigmoid sinus wall dehiscence-pulsatile tinnitus with idiopathic intracranial hypertension","authors":"Lanyue Chen , Wei Li , Xiaobo Ma , Xiaoxia Qu , Dandan Zheng , Zhaohui Liu","doi":"10.1016/j.mri.2024.110315","DOIUrl":"10.1016/j.mri.2024.110315","url":null,"abstract":"<div><h3>Purpose</h3><div>To evaluate cerebrospinal fluid (CSF) flow dynamics and volume changes of pulsatile tinnitus (PT) patients induced by sigmoid sinus wall dehiscence (SSWD) with intracranial hypertension.</div></div><div><h3>Methods</h3><div>Thirty-five SSWD-PT patients coexisted with intracranial hypertension and 35, age-, gender-, and handedness-matched healthy volunteers were prospectively enrolled and performed MRI. Clinical data were collected. CSF flow dynamics were evaluated by phase-contrast magnetic resonance imaging (PC-MRI) and CSF volume was measured using ITK-SNAP software.</div></div><div><h3>Results</h3><div>Compared with controls, the body mass index (BMI) of PT patients increased significantly (<em>P</em> = 0.046). Among CSF flow dynamics, PT patients presented significantly decreased mean flux (MF) (<em>P</em> = 0.017), mean velocity (MV) (<em>P</em> = 0.038), peak velocity (PV) (<em>P</em> = 0.023), and significantly increased regurgitant fraction (RF) (<em>P</em> = 0.010) than controls. There were no significant differences in other CSF flow dynamics parameters between the groups. CSF volume of PT patients was significantly increased than controls (<em>P</em> = 0.024). RF and CSF volume had potential diagnostic value. The AUC, sensitivity, specificity and accuracy of RF and CSF volume were 0.678, 68.6 %, 60.0 %, 61.4 % and 0.656, 68.6 %, 57.1 %, 55.7 %, respectively. The combined diagnostic efficacy of RF and CSF volume was highest, and the AUC, sensitivity, specificity and accuracy were 0.733, 74.3 %, 62.9 %, 67.1 % respectively.</div></div><div><h3>Conclusion</h3><div>SSWD-PT patients present CSF flow dynamics and volume changes, which may be related to the occurrence of PT. In addition to structural abnormalities, the combination of RF and CSF volume can be innovative as a complementary index to identify SSWD as the accurate etiology of PT.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"117 ","pages":"Article 110315"},"PeriodicalIF":2.1,"publicationDate":"2024-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142882410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-20DOI: 10.1016/j.mri.2024.110296
Dangzhen Wang , Juan Xia , Liang Li , Tao Wang
Introduction
More and more evidence suggesting that internal carotid artery stenosis is not only a risk factor for ischemic stroke but also for cognitive impairments. Hypoperfusion and silent micro emboli have been reported as the pathophysiological mechanisms causing cognitive impairment. The effect of carotid artery stenting (CAS) on cognitive function varied from study to study. This study aims to explore the effect of CAS on cognition and exam the changes in cerebral perfusion and brain connectivity with pulsed arterial spin labeling (pASL) and resting-state functional MRI (R-fMRI).
Methods
We conducted a controlled trial to assess alterations in cognitive performance among patients with “asymptomatic” carotid artery stenosis prior to and 3 months post-CAS intervention. Cognitive function including the Montreal Cognitive Assessment (MoCA) Beijing Version, the Minimum Mental State Examination (MMSE), the Digit Symbol Test, the Rey Auditory Verbal Learning Test (RAVLT), and the Verbal Memory Test. pASL perfusion MRI and R-fMRI were also performed prior to and 3 months post-CAS intervention.
Results
13 patients completed all the follow-up. We observed increased perfusion in the right parietal lobe and right occipital lobe, increased amplitude of low-frequency fluctuation (ALFF) in the right precentral gyrus, increased connectivity to the posterior cingulate cortex (PCC) in the right frontal gyrus and right precuneus, and increased voxel-wise mirrored homotopic connectivity (VMHC) in the right precuneus 3 months after CAS when compared with prior to CAS. Cognitive test results showed significant improvement in the scores on the MMSE, the Verbal Memory test, and the delayed recall.
Conclusion
CAS can partly improve the cognitive function in patients with “asymptomatic” carotid artery stenosis, and the improvement may be attributable to the increased perfusion in the right parietal lobe and right occipital lobe, increased ALFF in the right precentral gyrus, increased connectivity to the PCC in the right frontal gyrus and right precuneus, and increased VMHC in the right precuneus.
{"title":"Effect of carotid artery stenting on cognitive function in patients with asymptomatic carotid artery stenosis, a multimodal magnetic resonance study","authors":"Dangzhen Wang , Juan Xia , Liang Li , Tao Wang","doi":"10.1016/j.mri.2024.110296","DOIUrl":"10.1016/j.mri.2024.110296","url":null,"abstract":"<div><h3>Introduction</h3><div>More and more evidence suggesting that internal carotid artery stenosis is not only a risk factor for ischemic stroke but also for cognitive impairments. Hypoperfusion and silent micro emboli have been reported as the pathophysiological mechanisms causing cognitive impairment. The effect of carotid artery stenting (CAS) on cognitive function varied from study to study. This study aims to explore the effect of CAS on cognition and exam the changes in cerebral perfusion and brain connectivity with pulsed arterial spin labeling (pASL) and resting-state functional MRI (R-fMRI).</div></div><div><h3>Methods</h3><div>We conducted a controlled trial to assess alterations in cognitive performance among patients with “asymptomatic” carotid artery stenosis prior to and 3 months post-CAS intervention. Cognitive function including the Montreal Cognitive Assessment (MoCA) Beijing Version, the Minimum Mental State Examination (MMSE), the Digit Symbol Test, the Rey Auditory Verbal Learning Test (RAVLT), and the Verbal Memory Test. pASL perfusion MRI and R-fMRI were also performed prior to and 3 months post-CAS intervention.</div></div><div><h3>Results</h3><div>13 patients completed all the follow-up. We observed increased perfusion in the right parietal lobe and right occipital lobe, increased amplitude of low-frequency fluctuation (ALFF) in the right precentral gyrus, increased connectivity to the posterior cingulate cortex (PCC) in the right frontal gyrus and right precuneus, and increased voxel-wise mirrored homotopic connectivity (VMHC) in the right precuneus 3 months after CAS when compared with prior to CAS. Cognitive test results showed significant improvement in the scores on the MMSE, the Verbal Memory test, and the delayed recall.</div></div><div><h3>Conclusion</h3><div>CAS can partly improve the cognitive function in patients with “asymptomatic” carotid artery stenosis, and the improvement may be attributable to the increased perfusion in the right parietal lobe and right occipital lobe, increased ALFF in the right precentral gyrus, increased connectivity to the PCC in the right frontal gyrus and right precuneus, and increased VMHC in the right precuneus.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"117 ","pages":"Article 110296"},"PeriodicalIF":2.1,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142877425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-20DOI: 10.1016/j.mri.2024.110310
Juntong Jing , Anthony Mekhanik , Melanie Schellenberg , Victor Murray , Ouri Cohen , Ricardo Otazo
Dynamic contrast-enhanced (DCE) MRI is an important imaging tool for evaluating tumor vascularity that can lead to improved characterization of tumor extent and heterogeneity, and for early assessment of treatment response. However, clinical adoption of quantitative DCE-MRI remains limited due to challenges in acquisition and quantification performance, and lack of automated tools. This study presents an end-to-end deep learning pipeline that exploits a novel deep reconstruction network called DCE-Movienet with a previously developed deep quantification network called DCE-Qnet for fast and quantitative DCE-MRI. DCE-Movienet offers rapid reconstruction of high spatiotemporal resolution 4D MRI data, reducing reconstruction time of the full acquisition to only 0.66 s, which is significantly shorter than compressed sensing's order of 10 min-long reconstructions, without affecting image quality. DCE-Qnet can then perform comprehensive quantification of perfusion parameter maps (Ktrans, vp, ve), and other parameters affecting quantification (T1, B1, and BAT) from a single contrast-enhanced acquisition. The end-to-end deep learning pipeline was implemented to process data acquired with a golden-angle stack-of-stars k-space trajectory and validated on healthy volunteers and a cervical cancer patient against a compressed sensing reconstruction. The end-to-end deep learning DCE-MRI technique addresses key limitations in DCE-MRI in terms of speed and quantification robustness, which is expected to improve the performance of DCE-MRI in a clinical setting.
{"title":"Combination of deep learning reconstruction and quantification for dynamic contrast-enhanced (DCE) MRI","authors":"Juntong Jing , Anthony Mekhanik , Melanie Schellenberg , Victor Murray , Ouri Cohen , Ricardo Otazo","doi":"10.1016/j.mri.2024.110310","DOIUrl":"10.1016/j.mri.2024.110310","url":null,"abstract":"<div><div>Dynamic contrast-enhanced (DCE) MRI is an important imaging tool for evaluating tumor vascularity that can lead to improved characterization of tumor extent and heterogeneity, and for early assessment of treatment response. However, clinical adoption of quantitative DCE-MRI remains limited due to challenges in acquisition and quantification performance, and lack of automated tools. This study presents an end-to-end deep learning pipeline that exploits a novel deep reconstruction network called DCE-Movienet with a previously developed deep quantification network called DCE-Qnet for fast and quantitative DCE-MRI. DCE-Movienet offers rapid reconstruction of high spatiotemporal resolution 4D MRI data, reducing reconstruction time of the full acquisition to only 0.66 s, which is significantly shorter than compressed sensing's order of 10 min-long reconstructions, without affecting image quality. DCE-Qnet can then perform comprehensive quantification of perfusion parameter maps (K<sup>trans</sup>, v<sub>p</sub>, v<sub>e</sub>), and other parameters affecting quantification (T1, B1, and BAT) from a single contrast-enhanced acquisition. The end-to-end deep learning pipeline was implemented to process data acquired with a golden-angle stack-of-stars k-space trajectory and validated on healthy volunteers and a cervical cancer patient against a compressed sensing reconstruction. The end-to-end deep learning DCE-MRI technique addresses key limitations in DCE-MRI in terms of speed and quantification robustness, which is expected to improve the performance of DCE-MRI in a clinical setting.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"117 ","pages":"Article 110310"},"PeriodicalIF":2.1,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142877514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The total examination time can be reduced if high-quality two-dimensional (2D) cine images can be collected post-contrast to minimize non-scanning time prior to late gadolinium-enhanced imaging. This study aimed to assess the equivalency of the pre-and post-contrast performance of 2D deep learning-based highly accelerated cardiac cine (DL cine) imaging by evaluating the image quality and the quantification of biventricular volumes and function in the clinical setting.
Material and methods
Thirty patients (20 men, mean age 53.7 ± 17.8 years) underwent cardiac magnetic resonance on a 1.5 T scanner for clinical indications, and pre- and post-contrast DL cine images were acquired with a short-axis view. Image-quality was scored according to three main criteria: the blood-to-myocardial contrast, endocardial edge delineation, and presence of motion artifacts throughout the cardiac cycle.
Biventricular end-diastolic volume (EDV), end-systolic volume (ESV), stroke volume (SV), ejection fraction (EF), and left ventricular mass (LVM) were analyzed and compared between the pre- and post-contrast DL cine images.
Results
The actual median time of 2D DL cine acquisition was 38.4 ± 9.1 s. There were no significant differences in the image quality scores between pre- and post-contrast DL cine images (p > 0.05). In the volume and functional analysis, there was no significant difference in terms of biventricular EDV, ESV, SV, EF, and LVM (p > 0.05).
Conclusions
The performance of 2D DL cine is equivalent before and after contrast injection for the assessment of image quality and ventricular function in the clinical setting.
{"title":"Reliability of post-contrast deep learning-based highly accelerated cardiac cine MRI for the assessment of ventricular function","authors":"Makoto Orii , Momoko Sugawara , Tsuyoshi Sugawara , Kunihiro Yoshioka","doi":"10.1016/j.mri.2024.110313","DOIUrl":"10.1016/j.mri.2024.110313","url":null,"abstract":"<div><h3>Objective</h3><div>The total examination time can be reduced if high-quality two-dimensional (2D) cine images can be collected post-contrast to minimize non-scanning time prior to late gadolinium-enhanced imaging. This study aimed to assess the equivalency of the pre-and post-contrast performance of 2D deep learning-based highly accelerated cardiac cine (DL cine) imaging by evaluating the image quality and the quantification of biventricular volumes and function in the clinical setting.</div></div><div><h3>Material and methods</h3><div>Thirty patients (20 men, mean age 53.7 ± 17.8 years) underwent cardiac magnetic resonance on a 1.5 T scanner for clinical indications, and pre- and post-contrast DL cine images were acquired with a short-axis view. Image-quality was scored according to three main criteria: the blood-to-myocardial contrast, endocardial edge delineation, and presence of motion artifacts throughout the cardiac cycle.</div><div>Biventricular end-diastolic volume (EDV), end-systolic volume (ESV), stroke volume (SV), ejection fraction (EF), and left ventricular mass (LVM) were analyzed and compared between the pre- and post-contrast DL cine images.</div></div><div><h3>Results</h3><div>The actual median time of 2D DL cine acquisition was 38.4 ± 9.1 s. There were no significant differences in the image quality scores between pre- and post-contrast DL cine images (<em>p</em> > 0.05). In the volume and functional analysis, there was no significant difference in terms of biventricular EDV, ESV, SV, EF, and LVM (<em>p</em> > 0.05).</div></div><div><h3>Conclusions</h3><div>The performance of 2D DL cine is equivalent before and after contrast injection for the assessment of image quality and ventricular function in the clinical setting.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"117 ","pages":"Article 110313"},"PeriodicalIF":2.1,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142872533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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