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Takeda apparent diffusion coefficient adc
Apparent Diffusion Coefficient Adc, supplied by Takeda, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Diffusion-based Assay:

Article Title: Necrotic cervical nodes: usefulness of diffusion-weighted MR imaging in the differentiation of suppurative lymphadenitis from malignancy.
Article Snippet: Purpose: The purpose of this study was to assess the efficacy of diffusion-weighted (DW) MR imaging for the differentiation between suppurative lymphadenitis and malignancy in necrotic cervical lymph nodes.. Materials and methods: Fifteen patients with suppurative lymphadenitis, 40 with squamous cell carcinoma (SCC), eight with lymphoma, and six with thyroid cancer were accompanied by necrotic cervical nodes.. All 69 patients underwent 1.5-T MR imaging including DW and 58 underwent gadolinium-enhanced MR imaging.

Article Title: Mucosa-associated lymphoid tissue lymphoma of the salivary glands: MR imaging findings including diffusion-weighted imaging.
Article Snippet: Purpose: The purpose of this study was to describe MR findings including diffusion-weighted (DW) imaging findings in patients with mucosa-associated lymphoid tissue (MALT) lymphoma of the salivary glands.. Materials and methods: Ten patients with histologically proven MALT lymphoma of the salivary glands were included.. All patients underwent 1.5-T MR imaging, six of the ten underwent DW imaging, nine underwent CT, and eight 18F-fluorodeoxyglucose (FDG) PET/CT.

Article Title: Role and value of diffusion-weighted MRI in the radiotherapeutic management of head and neck cancer.
Article Snippet: www.expert-reviews.com ISSN 1473-7140 © 2010 Expert Reviews Ltd 10.1586/ERA.10.121 Treatment of squamous cell carcinoma of the head and neck (HNSCC) is very complex.. Not only because of the variety of disease subsites, but also because tumoral tissue and important functional structures (e.g., swallowing structures, salivary glands and the larynx) are in close proximity.. Furthermore, HNSCC is predominantly a locoregional disease, making loco regional control (LRC) our main concern [1].

Article Title: Diffusion-weighted MRI in head and neck cancer: experience to date and future potential
Article Snippet: Diffusion-weighted MRI (DWI) characterizes tissues based on the random Brownian displacement of water molecules, which is influenced by the underlying tissue specific microstructural hindrances.. These random water molecule displacements are quantified by using the apparent diffusion coefficient that reflects the amount of signal loss on the DWI images, inversely correlated with tissue cellularity [1].. DWI is increasingly researched and applied in head and neck cancer with the aim of improving tumor detection and characterization and regional and distant staging, as well as the detection of tumor recurrence after treatment [2,3].

Article Title: Artificial intelligence for prostate cancer detection and risk stratification using transrectal ultrasound: a narrative review
Article Snippet: .. In 2024, Takeda et al. collected multimodal data from 151 ultrasound-guided biopsy patients, including PSA results, TRUS images, and MRI sequences [T2-weighted imaging (T2WI), diffusion-weighted imaging (DWI), and apparent diffusion coefficient (ADC) maps] ( ). ..

Article Title: Combined DCE- and DW-MRI in diagnosis of benign and malignant tumors of the tongue.
Article Snippet: The combination of dynamic contrast-enhanced (DCE) and diffusion-weighted (DW)-MRI adds important information to the findings obtained through conventional spin echo MRI.. We aimed to determine the value of combined DWand DCE-MRI in distinguishing benign from malignant tumors of the tongue and mouth floor.. The apparent diffusion coefficient (ADC) maps were constructed, and the ADC values of the lesions were calculated from DW-MRI.

Article Title: Diffusion-weighted magnetic resonance imaging of head and neck squamous cell carcinomas.
Article Snippet: bjective: To evaluate whether diffusion-weighted imaging (DWI) is a reliable technique to quantify microstructural differences between head nd neck squamous cell carcinomas (SCC) and tumour-free soft tissue. aterials and methods: DWI was obtained from 20 patients with histologically proven, untreated head and neck SCC.. DWI was acquired using a iffusion-weighted, navigated echo-planar imaging sequence with a maximum b-value of 800 s/mm2.. For an objective assessment of image quality, he signal-to-noise ratio (SNR) was calculated.

Article Title: Assessment of nasal and paranasal sinus masses by diffusion-weighted MR imaging.
Article Snippet: J O A d É A D A P 0 d ournal of Neuroradiology (2009) 36, 206—211 RIGINAL ARTICLE ssessment of nasal and paranasal sinus masses by iffusion-weighted MR imaging tude des masses nasales et paranasales par IRM de diffusion .A.K.A.. Razek ∗, S. Sieza, B. Maha iagnostic radiology department, Mansoura faculty of medicine, 62, ElNokrasi street, Meet Hadr, 53312 Mansoura, Egypt vailable online 3 July 2009 resented at RSNA 08 KEYWORDS Diffusion; Nasal; Tumor; Sinus Summary Purpose.. — To assess nasal and paranasal sinus masses by diffusion-weighted echoplanar magnetic resonance imaging (MRI).

Imaging:

Article Title: Necrotic cervical nodes: usefulness of diffusion-weighted MR imaging in the differentiation of suppurative lymphadenitis from malignancy.
Article Snippet: Purpose: The purpose of this study was to assess the efficacy of diffusion-weighted (DW) MR imaging for the differentiation between suppurative lymphadenitis and malignancy in necrotic cervical lymph nodes.. Materials and methods: Fifteen patients with suppurative lymphadenitis, 40 with squamous cell carcinoma (SCC), eight with lymphoma, and six with thyroid cancer were accompanied by necrotic cervical nodes.. All 69 patients underwent 1.5-T MR imaging including DW and 58 underwent gadolinium-enhanced MR imaging.

Article Title: Mucosa-associated lymphoid tissue lymphoma of the salivary glands: MR imaging findings including diffusion-weighted imaging.
Article Snippet: Purpose: The purpose of this study was to describe MR findings including diffusion-weighted (DW) imaging findings in patients with mucosa-associated lymphoid tissue (MALT) lymphoma of the salivary glands.. Materials and methods: Ten patients with histologically proven MALT lymphoma of the salivary glands were included.. All patients underwent 1.5-T MR imaging, six of the ten underwent DW imaging, nine underwent CT, and eight 18F-fluorodeoxyglucose (FDG) PET/CT.

Article Title: Role and value of diffusion-weighted MRI in the radiotherapeutic management of head and neck cancer.
Article Snippet: www.expert-reviews.com ISSN 1473-7140 © 2010 Expert Reviews Ltd 10.1586/ERA.10.121 Treatment of squamous cell carcinoma of the head and neck (HNSCC) is very complex.. Not only because of the variety of disease subsites, but also because tumoral tissue and important functional structures (e.g., swallowing structures, salivary glands and the larynx) are in close proximity.. Furthermore, HNSCC is predominantly a locoregional disease, making loco regional control (LRC) our main concern [1].

Article Title: Diffusion-weighted MRI in head and neck cancer: experience to date and future potential
Article Snippet: Diffusion-weighted MRI (DWI) characterizes tissues based on the random Brownian displacement of water molecules, which is influenced by the underlying tissue specific microstructural hindrances.. These random water molecule displacements are quantified by using the apparent diffusion coefficient that reflects the amount of signal loss on the DWI images, inversely correlated with tissue cellularity [1].. DWI is increasingly researched and applied in head and neck cancer with the aim of improving tumor detection and characterization and regional and distant staging, as well as the detection of tumor recurrence after treatment [2,3].

Article Title: Artificial intelligence for prostate cancer detection and risk stratification using transrectal ultrasound: a narrative review
Article Snippet: .. In 2024, Takeda et al. collected multimodal data from 151 ultrasound-guided biopsy patients, including PSA results, TRUS images, and MRI sequences [T2-weighted imaging (T2WI), diffusion-weighted imaging (DWI), and apparent diffusion coefficient (ADC) maps] ( ). ..

Article Title: Combined DCE- and DW-MRI in diagnosis of benign and malignant tumors of the tongue.
Article Snippet: The combination of dynamic contrast-enhanced (DCE) and diffusion-weighted (DW)-MRI adds important information to the findings obtained through conventional spin echo MRI.. We aimed to determine the value of combined DWand DCE-MRI in distinguishing benign from malignant tumors of the tongue and mouth floor.. The apparent diffusion coefficient (ADC) maps were constructed, and the ADC values of the lesions were calculated from DW-MRI.

Article Title: Diffusion-weighted magnetic resonance imaging of head and neck squamous cell carcinomas.
Article Snippet: bjective: To evaluate whether diffusion-weighted imaging (DWI) is a reliable technique to quantify microstructural differences between head nd neck squamous cell carcinomas (SCC) and tumour-free soft tissue. aterials and methods: DWI was obtained from 20 patients with histologically proven, untreated head and neck SCC.. DWI was acquired using a iffusion-weighted, navigated echo-planar imaging sequence with a maximum b-value of 800 s/mm2.. For an objective assessment of image quality, he signal-to-noise ratio (SNR) was calculated.

Article Title: Assessment of nasal and paranasal sinus masses by diffusion-weighted MR imaging.
Article Snippet: J O A d É A D A P 0 d ournal of Neuroradiology (2009) 36, 206—211 RIGINAL ARTICLE ssessment of nasal and paranasal sinus masses by iffusion-weighted MR imaging tude des masses nasales et paranasales par IRM de diffusion .A.K.A.. Razek ∗, S. Sieza, B. Maha iagnostic radiology department, Mansoura faculty of medicine, 62, ElNokrasi street, Meet Hadr, 53312 Mansoura, Egypt vailable online 3 July 2009 resented at RSNA 08 KEYWORDS Diffusion; Nasal; Tumor; Sinus Summary Purpose.. — To assess nasal and paranasal sinus masses by diffusion-weighted echoplanar magnetic resonance imaging (MRI).

Magnetic Resonance Imaging:

Article Title: Artificial intelligence for prostate cancer detection and risk stratification using transrectal ultrasound: a narrative review
Article Snippet: .. In 2024, Takeda et al. collected multimodal data from 151 ultrasound-guided biopsy patients, including PSA results, TRUS images, and MRI sequences [T2-weighted imaging (T2WI), diffusion-weighted imaging (DWI), and apparent diffusion coefficient (ADC) maps] ( ). ..



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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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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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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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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