Abstract:PurposeTo cross-validate T1-weighted oxygen-enhanced (OE) MRI measurements of
tumor hypoxia with intrinsic susceptibility MRI measurements and to
demonstrate the feasibility of translation of the technique for
patients.Materials and MethodsPreclinical studies in nine 786–0-R renal cell carcinoma (RCC)
xenografts and prospective clinical studies in eight patients with RCC
were performed. Longitudinal relaxation rate changes (∆R1) after
100% oxygen inhalation were quantified, reflecting the paramagnetic
effect o… Show more
“…Using an IAUGC 60 map from DCE‐MRI as a mask to obtain Oxy‐R fractions O’Connor et al showed good correlation with the histological hypoxic fraction . In more recent work, Little et al showed oxygen enhancement in tumors with a histological hypoxic fraction as high as 43% and this translated very well to a study of six renal cell carcinoma patients. Linnik et al reported excellent correlation between percentage of “negative AUC OE ” ( O 2 ‐negative) voxels and percentage of hypoxic areas in the highly vascular preclinical U87MG tumor xenografts .…”
Section: Discussionmentioning
confidence: 91%
“…Linnik et al reported excellent correlation between percentage of “negative AUC OE ” ( O 2 ‐negative) voxels and percentage of hypoxic areas in the highly vascular preclinical U87MG tumor xenografts . A second approach for differentiating between viable but hypoxic regions and unperfused dead tissues, is to combine OE‐MRI with W acquisition and the BOLD effect to classify regions that show both effects. Excess oxygen in the blood will induce changes in Hb saturation, which alter the resulting in a robust measure of areas with functioning vasculature.…”
Purpose
There is a critical need for non‐invasive imaging biomarkers of tumor oxygenation to assist in patient stratification and development of hypoxia targeting therapies. Using a cycling gas challenge and independent component analysis (ICA), we sought to improve the sensitivity and speed of existing oxygen enhanced MRI (OE‐MRI) techniques to detect changes in oxygenation with dynamically acquired T1W signal intensity images (dOE‐MRI).
Methods
Mice were implanted with SCCVII, HCT‐116, BT‐474, or SKOV3 tumors in the dorsal subcutaneous region and imaged at 7T. T1W images were acquired during a respiratory challenge with alternating 2‐minute periods of air and 100% oxygen for three cycles. Data were analyzed with ICA and oxygenation maps were generated and compared to corresponding histology sections stained for hypoxia (pimonidazole) and blood vessels (CD31).
Results
Cycling air‐oxygen‐air gas challenges were well tolerated and ICA permitted extraction of the oxygen‐enhancing component in all imaged tumors from four different models. Comparison with synthetic response functions showed that dOE‐MRI does not require any a‐priori knowledge of the physiological response. The fraction of O2‐negative dOE‐MRI voxels that correlate inversely with the ICA gas‐cycling component correspond well with the histological hypoxic fraction in SCCVII tumors (r = 0.91, p = 0.0016) but did not correlate in HCT‐116 tumors (r = 0.13, p = 0.81).
Conclusions
Using ICA and adding a cycling gas challenge extends the sensitivity of OE‐MRI and allows the oxygenation status of tumors to be assessed in as little as six minutes. These findings support further development of OE‐MRI as a biomarker of tumor oxygenation.
“…Using an IAUGC 60 map from DCE‐MRI as a mask to obtain Oxy‐R fractions O’Connor et al showed good correlation with the histological hypoxic fraction . In more recent work, Little et al showed oxygen enhancement in tumors with a histological hypoxic fraction as high as 43% and this translated very well to a study of six renal cell carcinoma patients. Linnik et al reported excellent correlation between percentage of “negative AUC OE ” ( O 2 ‐negative) voxels and percentage of hypoxic areas in the highly vascular preclinical U87MG tumor xenografts .…”
Section: Discussionmentioning
confidence: 91%
“…Linnik et al reported excellent correlation between percentage of “negative AUC OE ” ( O 2 ‐negative) voxels and percentage of hypoxic areas in the highly vascular preclinical U87MG tumor xenografts . A second approach for differentiating between viable but hypoxic regions and unperfused dead tissues, is to combine OE‐MRI with W acquisition and the BOLD effect to classify regions that show both effects. Excess oxygen in the blood will induce changes in Hb saturation, which alter the resulting in a robust measure of areas with functioning vasculature.…”
Purpose
There is a critical need for non‐invasive imaging biomarkers of tumor oxygenation to assist in patient stratification and development of hypoxia targeting therapies. Using a cycling gas challenge and independent component analysis (ICA), we sought to improve the sensitivity and speed of existing oxygen enhanced MRI (OE‐MRI) techniques to detect changes in oxygenation with dynamically acquired T1W signal intensity images (dOE‐MRI).
Methods
Mice were implanted with SCCVII, HCT‐116, BT‐474, or SKOV3 tumors in the dorsal subcutaneous region and imaged at 7T. T1W images were acquired during a respiratory challenge with alternating 2‐minute periods of air and 100% oxygen for three cycles. Data were analyzed with ICA and oxygenation maps were generated and compared to corresponding histology sections stained for hypoxia (pimonidazole) and blood vessels (CD31).
Results
Cycling air‐oxygen‐air gas challenges were well tolerated and ICA permitted extraction of the oxygen‐enhancing component in all imaged tumors from four different models. Comparison with synthetic response functions showed that dOE‐MRI does not require any a‐priori knowledge of the physiological response. The fraction of O2‐negative dOE‐MRI voxels that correlate inversely with the ICA gas‐cycling component correspond well with the histological hypoxic fraction in SCCVII tumors (r = 0.91, p = 0.0016) but did not correlate in HCT‐116 tumors (r = 0.13, p = 0.81).
Conclusions
Using ICA and adding a cycling gas challenge extends the sensitivity of OE‐MRI and allows the oxygenation status of tumors to be assessed in as little as six minutes. These findings support further development of OE‐MRI as a biomarker of tumor oxygenation.
“…Necrotic regions have been identified using diffusion methods (ADC and IVIM) based on the intrinsic tissue water properties or DCE MRI based on the intravenous infusion of gadolinium contrast agents . BOLD contrast has been compared to the non‐model‐based DCE parameters and showed similar capability of imaging vasculature and revealing intratumoral heterogeneity .…”
Section: Discussionmentioning
confidence: 99%
“…Necrotic regions have been identified using diffusion methods (ADC and IVIM) based on the intrinsic tissue water properties 66,67 or DCE MRI based on the intravenous infusion of gadolinium contrast agents. 8,68,69 BOLD contrast has been compared to the non-model-based DCE parameters and showed similar capability of imaging vasculature 48 and revealing intratumoral heterogeneity. 63,70 Potential advantages of using BOLD response to classify intratumoral heterogeneity include: 1) BOLD response relates directly to tumor oxygenation 36 ; 2) BOLD measurements can be interleaved with TOLD measurements for a single gas breathing intervention, avoiding the need for an additional scanning sequence such as DCE or IVIM; 3) avoiding the need for exogenous gadolinium contrast agents, which have become controversial for routine use.…”
Oxygen‐sensitive MRI has been extensively used to investigate tumor oxygenation based on the response (R2* and/or R1) to a gas breathing challenge. Most studies have reported response to hyperoxic gas indicating potential biomarkers of hypoxia. Few studies have examined hypoxic gas breathing and we have now evaluated acute dynamic changes in rat breast tumors.
Rats bearing syngeneic subcutaneous (n = 15) or orthotopic (n = 7) 13762NF breast tumors were exposed to a 16% O2 gas breathing challenge and monitored using blood oxygen level dependent (BOLD) R2* and tissue oxygen level dependent (TOLD) T1‐weighted measurements at 4.7 T. As a control, we used a traditional hyperoxic gas breathing challenge with 100% O2 on a subset of the subcutaneous tumor bearing rats (n = 6). Tumor subregions identified as responsive on the basis of R2* dynamics coincided with the viable tumor area as judged by subsequent H&E staining. As expected, R2* decreased and T1‐weighted signal increased in response to 100% O2 breathing challenge. Meanwhile, 16% O2 breathing elicited an increase in R2*, but divergent response (increase or decrease) in T1‐weighted signal. The T1‐weighted signal increase may signify a dominating BOLD effect triggered by 16% O2 in the relatively more hypoxic tumors, whereby the influence of increased paramagnetic deoxyhemoglobin outweighs decreased pO2. The results emphasize the importance of combined BOLD and TOLD measurements for the correct interpretation of tumor oxygenation properties.
“…Tumor hypoxia is a well-established cause of treatment resistance, adversely affects the prognosis of HNSCC ( 21 , 22 ), and moderates the expression and activation of EGFR ( 26 ). Both intrinsic susceptibility and oxygen-enhanced MRI are being actively exploited for spatially mapping tumor hypoxia in vivo ( 36 , 45 , 48 – 50 ). Oxygen inhalation induced a reduction in of both CAL R and CAL S xenografts, a consequence of a reduction in paramagnetic deoxyhaemoglobin in perfused tumor blood vessels.…”
Background: Overexpression of EGFR is a negative prognostic factor in head and neck squamous cell carcinoma (HNSCC). Patients with HNSCC who respond to EGFR-targeted tyrosine kinase inhibitors (TKIs) eventually develop acquired resistance. Strategies to identify HNSCC patients likely to benefit from EGFR-targeted therapies, together with biomarkers of treatment response, would have clinical value.Methods: Functional MRI and 18F-FDG PET were used to visualize and quantify imaging biomarkers associated with drug response within size-matched EGFR TKI-resistant CAL 27 (CALR) and sensitive (CALS) HNSCC xenografts in vivo, and pathological correlates sought.Results: Intrinsic susceptibility, oxygen-enhanced and dynamic contrast-enhanced MRI revealed significantly slower baseline R2∗, lower hyperoxia-induced ΔR2∗ and volume transfer constant Ktrans in the CALR tumors which were associated with significantly lower Hoechst 33342 uptake and greater pimonidazole-adduct formation. There was no difference in oxygen-induced ΔR1 or water diffusivity between the CALR and CALS xenografts. PET revealed significantly higher relative uptake of 18F-FDG in the CALR cohort, which was associated with significantly greater Glut-1 expression.Conclusions: CALR xenografts established from HNSCC cells resistant to EGFR TKIs are more hypoxic, poorly perfused and glycolytic than sensitive CALS tumors. MRI combined with PET can be used to non-invasively assess HNSCC response/resistance to EGFR inhibition.
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