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parametric apparent diffusion coefficient maps  (Kiromic LLC)

 
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    Kiromic LLC parametric apparent diffusion coefficient maps
    Parametric Apparent Diffusion Coefficient Maps, supplied by Kiromic LLC, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/apparent+diffusion+coefficient/parametric+apparent+diffusion+coefficient+maps/pm32002663-28-72-62
    Average 90 stars, based on 1 article reviews
    parametric apparent diffusion coefficient maps - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    Diffusion-based Assay:

    Article Title: PD-L1, fibrosis, and immunotherapy in hepatocellular carcinoma: the importance of a scientific method to explore observations and answer questions.
    Article Snippet: In light of promising data demonstrating a restoration of host immunity against tumors after inhibition, the PD-1/PD-L1 axis has become a topic of particular interest.. Determining which patients derive benefit from PD-1/PD-L1-directed immunotherapy remains, however, an important clinical question, particularly in light of the reported broad spectrum of toxicity of these agents.. In a recent edition of Surgery Today, Elmezayen et al. [1] reported that PD-L1-expressing cells in the background liver, but not in the tumor tissue, appeared to contribute to the serum PD-L1 (sPDL1) level, suggesting that sPDL1 was not indicative of the tumor burden in patients with hepatocellular carcinoma (HCC).

    Activity Assay:

    Article Title: PD-L1, fibrosis, and immunotherapy in hepatocellular carcinoma: the importance of a scientific method to explore observations and answer questions.
    Article Snippet: In light of promising data demonstrating a restoration of host immunity against tumors after inhibition, the PD-1/PD-L1 axis has become a topic of particular interest.. Determining which patients derive benefit from PD-1/PD-L1-directed immunotherapy remains, however, an important clinical question, particularly in light of the reported broad spectrum of toxicity of these agents.. In a recent edition of Surgery Today, Elmezayen et al. [1] reported that PD-L1-expressing cells in the background liver, but not in the tumor tissue, appeared to contribute to the serum PD-L1 (sPDL1) level, suggesting that sPDL1 was not indicative of the tumor burden in patients with hepatocellular carcinoma (HCC).



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    A. The percentage of viable and necrotic tissue with respect to the total lesion volume. B.The evolution of vessel radius (R). C. Blood volume fraction (BVF). D. Oxygen saturation (StO 2 ) E. Signal enhancement F. Apparent diffusion <t>coefficient</t> <t>(ADC)</t> observed by MRI at D4, D7, D14, D28, and D56 after ischemic injury by malonate injection. n=5 at D4, n=13 at D7, n=8 at D14, n=8 at D28 and n=7 at D56. Data is represented by medians and IQR. *: 0.03>p>0.01, **: 0.005>p>0.001, ***: 0.0005>p>0.0001, ****: p<0.0001 vs contralateral hemisphere, paired non-parametric Mann-Whitney test.
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    Figure 4 (A and B) MRI and pathological alterations in patients before and after axitinib plus toripalimab administration. (A) Example of highly immune infiltrated tumor; (B) example of minimally infiltrated tumor. ADC: apparent diffusion <t>coefficient.</t> (C) Baseline biomarkers correlated with response to treatment analyzed by NanoString IO 360. The volcano plot displays differential gene expression at baseline. (D). Relative fraction of tumor-infiltrating lymphocytes. Each row represents an immune cell subpopulation estimated by multiplexed immunofluorescence, including the density of PD1+ cells, PD1+CD8+ cells, PD- L1+ cells, PD-L1+CK+ cells, CD3+ cells, CD4+ cells, CD8+ cells, CD20+ cells, CD56+ cells, FOXP3+ cells, CD68+CD163- macrophage cells M1, CD68+CD163+ macrophage cells M2. The relative infiltrations of each lymphocyte subpopulations were normalized into a z-score. (E). Comparison of density levels of tumor-infiltrating PD1+ cells, PD1+CD8+ cells, PD-L1+ cells, PD- L1+CK+ cells between partial response (PR) and SD patients. *, p<0.05. (F). Comparison of density levels of tumor-infiltrating CD3+ cells, CD4+ cells, CD8+ cells, CD20+ cells, CD56+ cells, FOXP3+ cells, M1 macrophages, and M2 macrophages between PR and SD patients. No significant differences were found. (G). Representative multiplexed immunofluorescence images showing the simultaneous staining of panel 1 (left): DAPI (blue), CD8+ (red), PD-1+ (green), PD-L1+ (yellow), and CK (gray). Panel 2 (right): DAPI (blue), CD3+ (red), CD4+ (green), FOXP3+ (yellow), CD20+ (orange), and CK (gray) in PR (up) and SD (bottom) patients. Scale bar: 20 µm.
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    Image Search Results


    A. The percentage of viable and necrotic tissue with respect to the total lesion volume. B.The evolution of vessel radius (R). C. Blood volume fraction (BVF). D. Oxygen saturation (StO 2 ) E. Signal enhancement F. Apparent diffusion coefficient (ADC) observed by MRI at D4, D7, D14, D28, and D56 after ischemic injury by malonate injection. n=5 at D4, n=13 at D7, n=8 at D14, n=8 at D28 and n=7 at D56. Data is represented by medians and IQR. *: 0.03>p>0.01, **: 0.005>p>0.001, ***: 0.0005>p>0.0001, ****: p<0.0001 vs contralateral hemisphere, paired non-parametric Mann-Whitney test.

    Journal: bioRxiv

    Article Title: Multimodal Characterization and Evolution of Malonate-induced Stroke Model: Advanced MRI, Histology-Molecular Profiling

    doi: 10.1101/2025.10.22.684053

    Figure Lengend Snippet: A. The percentage of viable and necrotic tissue with respect to the total lesion volume. B.The evolution of vessel radius (R). C. Blood volume fraction (BVF). D. Oxygen saturation (StO 2 ) E. Signal enhancement F. Apparent diffusion coefficient (ADC) observed by MRI at D4, D7, D14, D28, and D56 after ischemic injury by malonate injection. n=5 at D4, n=13 at D7, n=8 at D14, n=8 at D28 and n=7 at D56. Data is represented by medians and IQR. *: 0.03>p>0.01, **: 0.005>p>0.001, ***: 0.0005>p>0.0001, ****: p<0.0001 vs contralateral hemisphere, paired non-parametric Mann-Whitney test.

    Article Snippet: Apparent diffusion coefficient (ADC) maps were automatically computed on the Bruker scanner as the means of the ADCs observed in each of three orthogonal directions.

    Techniques: Diffusion-based Assay, Injection, MANN-WHITNEY

    Figure 4 (A and B) MRI and pathological alterations in patients before and after axitinib plus toripalimab administration. (A) Example of highly immune infiltrated tumor; (B) example of minimally infiltrated tumor. ADC: apparent diffusion coefficient. (C) Baseline biomarkers correlated with response to treatment analyzed by NanoString IO 360. The volcano plot displays differential gene expression at baseline. (D). Relative fraction of tumor-infiltrating lymphocytes. Each row represents an immune cell subpopulation estimated by multiplexed immunofluorescence, including the density of PD1+ cells, PD1+CD8+ cells, PD- L1+ cells, PD-L1+CK+ cells, CD3+ cells, CD4+ cells, CD8+ cells, CD20+ cells, CD56+ cells, FOXP3+ cells, CD68+CD163- macrophage cells M1, CD68+CD163+ macrophage cells M2. The relative infiltrations of each lymphocyte subpopulations were normalized into a z-score. (E). Comparison of density levels of tumor-infiltrating PD1+ cells, PD1+CD8+ cells, PD-L1+ cells, PD- L1+CK+ cells between partial response (PR) and SD patients. *, p<0.05. (F). Comparison of density levels of tumor-infiltrating CD3+ cells, CD4+ cells, CD8+ cells, CD20+ cells, CD56+ cells, FOXP3+ cells, M1 macrophages, and M2 macrophages between PR and SD patients. No significant differences were found. (G). Representative multiplexed immunofluorescence images showing the simultaneous staining of panel 1 (left): DAPI (blue), CD8+ (red), PD-1+ (green), PD-L1+ (yellow), and CK (gray). Panel 2 (right): DAPI (blue), CD3+ (red), CD4+ (green), FOXP3+ (yellow), CD20+ (orange), and CK (gray) in PR (up) and SD (bottom) patients. Scale bar: 20 µm.

    Journal: Journal for immunotherapy of cancer

    Article Title: Neoadjuvant toripalimab combined with axitinib in patients with locally advanced clear cell renal cell carcinoma: a single-arm, phase II trial.

    doi: 10.1136/jitc-2023-008475

    Figure Lengend Snippet: Figure 4 (A and B) MRI and pathological alterations in patients before and after axitinib plus toripalimab administration. (A) Example of highly immune infiltrated tumor; (B) example of minimally infiltrated tumor. ADC: apparent diffusion coefficient. (C) Baseline biomarkers correlated with response to treatment analyzed by NanoString IO 360. The volcano plot displays differential gene expression at baseline. (D). Relative fraction of tumor-infiltrating lymphocytes. Each row represents an immune cell subpopulation estimated by multiplexed immunofluorescence, including the density of PD1+ cells, PD1+CD8+ cells, PD- L1+ cells, PD-L1+CK+ cells, CD3+ cells, CD4+ cells, CD8+ cells, CD20+ cells, CD56+ cells, FOXP3+ cells, CD68+CD163- macrophage cells M1, CD68+CD163+ macrophage cells M2. The relative infiltrations of each lymphocyte subpopulations were normalized into a z-score. (E). Comparison of density levels of tumor-infiltrating PD1+ cells, PD1+CD8+ cells, PD-L1+ cells, PD- L1+CK+ cells between partial response (PR) and SD patients. *, p<0.05. (F). Comparison of density levels of tumor-infiltrating CD3+ cells, CD4+ cells, CD8+ cells, CD20+ cells, CD56+ cells, FOXP3+ cells, M1 macrophages, and M2 macrophages between PR and SD patients. No significant differences were found. (G). Representative multiplexed immunofluorescence images showing the simultaneous staining of panel 1 (left): DAPI (blue), CD8+ (red), PD-1+ (green), PD-L1+ (yellow), and CK (gray). Panel 2 (right): DAPI (blue), CD3+ (red), CD4+ (green), FOXP3+ (yellow), CD20+ (orange), and CK (gray) in PR (up) and SD (bottom) patients. Scale bar: 20 µm.

    Article Snippet: ADC: apparent diffusion coefficient. (C) Baseline biomarkers correlated with response to treatment analyzed by NanoString IO 360.

    Techniques: Diffusion-based Assay, Gene Expression, Immunofluorescence, Comparison, Staining