Chemical exchange saturation transfer MRI to assess cell death in breast cancer xenografts at 7T

Klein, Jonathan; Lam, Wilfred; Czarnota, Gregory J.; Stanisz, Greg J.

doi:10.18632/oncotarget.25844

Cited by 10 publications

(7 citation statements)

References 49 publications

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“…Applications range from tumor grading, over the assessment of therapy response after radiation treatment, to the differentiation of histologic and genetic subtypes of tumors . Although most applications aim at examination of brain tumors, there is also an emerging interest in the application of APT‐CEST MRI for the diagnosis of breast cancer …”

Section: Introductionmentioning

confidence: 99%

A novel normalization for amide proton transfer CEST MRI to correct for fat signal–induced artifacts: application to human breast cancer imaging

Zimmermann

Korzowski

Breitling

et al. 2019

Magnetic Resonance in Med

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Purpose: The application of amide proton transfer (APT) CEST MRI for diagnosis of breast cancer is of emerging interest. However, APT imaging in the human breast is affected by the ubiquitous fat signal preventing a straightforward application of existing acquisition protocols. Although the spectral region of the APT signal does not coincide with fat resonances, the fat signal leads to an incorrect normalization of the Z-spectrum, and therefore to distorted APT effects. In this study, we propose a novel normalization for APT-CEST MRI that corrects for fat signal-induced artifacts in the postprocessing without the need for application of fat saturation schemes or water-fat separation approaches. Methods: The novel normalization uses the residual signal at the spectral position of the direct water saturation to estimate the fat contribution. A comprehensive theoretical description of the normalization for an arbitrary phase relation of the water and fat signal is provided. Functionality and applicability of the proposed normalization was demonstrated by in vitro and in vivo experiments. Results: In vitro, an underestimation of the conventional APT contrast of approximately −1.2% per 1% fat fraction was observed. The novel normalization yielded an APT contrast independent of the fat contribution, which was also independent of the | 921 ZIMMERMANN Et Al.

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Section: Introductionmentioning

confidence: 99%

A novel normalization for amide proton transfer CEST MRI to correct for fat signal–induced artifacts: application to human breast cancer imaging

Zimmermann

Korzowski

Breitling

et al. 2019

Magnetic Resonance in Med

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“…It has been shown that 7T MRI could be safely and efficiently used during radiofrequency treatments [55]. More specifically, CEST imaging was able to differentiate viable tumour cells from necrotic areas before and after chemotherapy and so in accordance with histological assessment [56]. Subtle metabolites changes have been detected during chemotherapy using 31-phosphorus (31P) MRI at UHF so that non responders could be distinguished from partial and complete responders.…”

Section: Discussionmentioning

confidence: 99%

Are We Heading to the Future of Musculoskeletal Tumor Imaging with Ultra-High Field 7T MRI?

Fouré¹,

Rochwerger²,

Troter³

et al. 2020

COR

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Background and objectives: Sarcoma preoperative planning critically depends on MRI, sometimes uninformative when compartments barriers or critical structures are involved. objective: to prospectively assess the feasibility and the potential of 7T MRI in sarcoma. Methods: Two patients with femoral chondrosarcoma were CT and MRI (1.5 and 7T) scanned with T1W, T2W, GRE and DTI sequences. Image quality and characteristics of the tumors were compared between these modalities. Results: In-plane resolution was higher at 7T as compared to 1.5T MRI, tumor delineation was more reliable and soft tissue involvement was clearer. DT imaging and corresponding ADC mapping allowed a clear distinction between edema and tumor and identified tumor involvement of collateral ligament allowing healthy structures sparing with histopathology confirmation. 7T MRI was also able to define cortical reaction as precisely as CT imaging. Conclusion: Musculoskeletal tumours UHF-MRI is promising. Higher resolution and enhanced signal to noise ratio improved tumoral assessment, infiltration and cortex changes. One could expect this nonradiating technique to replace CT investigation for bone tumours assessment and open new perspectives in the fields of vascular or nerve salvage and response to chemo/radiotherapy. Healthy tissue sparing might be facilitated with impacts on function, complication or reconstruction type.

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“…CEST has been increasingly considered as a promising molecular imaging method that can evaluate the presence of low concentrations of molecules other than water 23 . CEST might provide complementary molecular information related to cancer metabolism 24 , and its utility has been explored in oncology, including breast cancer xenograft 25 , 26 and human breast cancer 27 – 29 studies. Amide protons from mobile proteins and peptides are typical endogenous CEST agents.…”

Section: Introductionmentioning

confidence: 99%

Investigation of breast cancer microstructure and microvasculature from time-dependent DWI and CEST in correlation with histological biomarkers

Someya

Iima

Imai

et al. 2022

Sci Rep

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We investigated the associations of time-dependent DWI, non-Gaussian DWI, and CEST parameters with histological biomarkers in a breast cancer xenograft model. 22 xenograft mice (7 MCF-7 and 15 MDA-MB-231) were scanned at 4 diffusion times [Td = 2.5/5 ms with 11 b-values (0–600 s/mm2) and Td = 9/27.6 ms with 17 b-values (0–3000 s/mm2), respectively]. The apparent diffusion coefficient (ADC) was estimated using 2 b-values in different combinations (ADC0–600 using b = 0 and 600 s/mm2 and shifted ADC [sADC200–1500] using b = 200 and 1500 s/mm2) at each of those diffusion times. Then the change (Δ) in ADC/sADC between diffusion times was evaluated. Non-Gaussian diffusion and intravoxel incoherent motion (IVIM) parameters (ADC0, the virtual ADC at b = 0; K, Kurtosis from non-Gaussian diffusion; f, the IVIM perfusion fraction) were estimated. CEST images were acquired and the amide proton transfer signal intensity (APT SI) were measured. The ΔsADC9–27.6 (between $${\text{sADC}}_{{9\,{\text{ms}}}}^{200{-}1500}$$ sADC 9 ms 200 - 1500 and $${\text{sADC}}_{{27.6\,{\text{ms}}}}^{200{-}1500}$$ sADC 27.6 ms 200 - 1500 and ΔADC2.5_sADC27.6 (between $${\text{ADC}}_{{2.5\, {\text{ms}}}}^{0{-}600}$$ ADC 2.5 ms 0 - 600 and $${\text{sADC}}_{{27.6\,{\text{ms}}}}^{200{-}1500}$$ sADC 27.6 ms 200 - 1500 ) was significantly larger for MCF-7 groups, and ΔADC2.5_sADC27.6 was positively correlated with Ki67max and APT SI. ADC0 decreased significantly in MDA-MB-231 group and K increased significantly with Td in MCF-7 group. APT SI and cellular area had a moderately strong positive correlation in MDA-MB-231 and MCF-7 tumors combined, and there was a positive correlation in MDA-MB-231 tumors. There was a significant negative correlation between APT SI and the Ki-67-positive ratio in MDA-MB-231 tumors and when combined with MCF-7 tumors. The associations of ΔADC2.5_sADC27.6 and API SI with Ki-67 parameters indicate that the Td-dependent DW and CEST parameters are useful to predict the histological markers of breast cancers.

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Chemical exchange saturation transfer MRI to assess cell death in breast cancer xenografts at 7T

Cited by 10 publications

References 49 publications

A novel normalization for amide proton transfer CEST MRI to correct for fat signal–induced artifacts: application to human breast cancer imaging

A novel normalization for amide proton transfer CEST MRI to correct for fat signal–induced artifacts: application to human breast cancer imaging

Are We Heading to the Future of Musculoskeletal Tumor Imaging with Ultra-High Field 7T MRI?

Investigation of breast cancer microstructure and microvasculature from time-dependent DWI and CEST in correlation with histological biomarkers

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