semi-automatic gradient-based method pet-edge (MIM Software Inc)
90
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MIM Software Inc
semi-automatic gradient-based method pet-edge
Semi Automatic Gradient Based Method Pet Edge, supplied by MIM Software Inc, 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/semi-automatic+method/gradient+based+segmentation+method+pet+edge/pm40149369-73-7-11
Average 90 stars, based on 1 article reviews
Semi Automatic Gradient Based Method Pet Edge, supplied by MIM Software Inc, 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/semi-automatic+method/gradient+based+segmentation+method+pet+edge/pm40149369-73-7-11
Average 90 stars, based on 1 article reviews
semi-automatic gradient-based method pet-edge - by Bioz Stars,
2026-10
90/100 stars
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Positron Emission Tomography:Article Title: Temporal Validation of an FDG-PET-Radiomic Model for Distant-Relapse-Free-Survival After Radio-Chemotherapy for Pancreatic Adenocarcinoma. Article Snippet: Tumors were segmented using a previously validated Article Title: Bayesian penalized likelihood PET reconstruction impact on quantitative metrics in diffuse large B-cell lymphoma Article Snippet: The moderator used Article Title: The prognostic value of radiomic features from pre- and post-treatment 18 F-FDG PET imaging in patients with nasopharyngeal carcinoma Article Snippet: Primary tumor segmentation of all pre- and post-treatment FDG PET images was computed using the gradient-based segmentation method (‘PET edge’) of Article Title: Comparative analysis of batch correction methods for FDG PET/CT using metabolic radiogenomic data of lung cancer patients. Article Snippet: Image feature extraction was based on a previous study and used the gradient-based segmentation method (‘PET Edge’) in Article Title: Semi-automated segmentation methods of SSTR PET for dosimetry prediction in refractory meningioma patients treated by SSTR-targeted peptide receptor radionuclide therapy. Article Snippet: Objectives Tumor dosimetry with somatostatin receptor–targeted peptide receptor radionuclide therapy (SSTR-targeted PRRT) by 177Lu-DOTATATE may contribute to improved treatment monitoring of refractory meningioma.. Accurate dosimetry requires reliable and reproducible pretherapeutic PET tumor segmentation which is not currently available.. This study aims to propose semi-automated segmentation methods to determine metabolic tumor volume with pretherapeutic 68GaDOTATOC PET and evaluate SUVmean-derived values as predictive factors for tumor-absorbed dose. Article Title: Prognostic Value of Radiomic Analysis Using Pre- and Post-Treatment 18 F-FDG-PET/CT in Patients with Laryngeal Cancer and Hypopharyngeal Cancer Article Snippet: For quantitative analysis, the volumes of interest (VOIs) corresponding to the primary tumor were delineated using a semi-automated approach in the gradient-based algorithm known as PET Edge, integrated within Article Title: Prognostic Value of Axillary Lymph Node Texture Parameters Measured by Pretreatment 18 F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography in Locally Advanced Breast Cancer with Neoadjuvant Chemotherapy. Article Snippet: For quantitative analysis, the volumes of interest (VOIs) from the primary tumor and ALN were semi-automatically delineated using the gradient-based algorithm (PET Edge) in Article Title: Independent association of metabolic tumor response on FDG-PET with pulmonary toxicity following risk-adaptive chemoradiation for unresectable non-small cell lung cancer: Inherent radiosensitivity or immune response? Article Snippet: Background: In the context of a phase II trial of risk-adaptive chemoradiation, we evaluated whether tumor metabolic response could serve as a correlate of treatment sensitivity and toxicity.. Methods: Forty-five patients with AJCCv7 stage IIB-IIIB NSCLC enrolled on the FLARE-RT phase II trial (NCT02773238).. [18F]fluorodeoxyglucose (FDG) PET-CT images were acquired prior to treatment and after 24 Gy during week 3. Software:Article Title: Temporal Validation of an FDG-PET-Radiomic Model for Distant-Relapse-Free-Survival After Radio-Chemotherapy for Pancreatic Adenocarcinoma. Article Snippet: Tumors were segmented using a previously validated Article Title: Bayesian penalized likelihood PET reconstruction impact on quantitative metrics in diffuse large B-cell lymphoma Article Snippet: The moderator used Article Title: The prognostic value of radiomic features from pre- and post-treatment 18 F-FDG PET imaging in patients with nasopharyngeal carcinoma Article Snippet: Primary tumor segmentation of all pre- and post-treatment FDG PET images was computed using the gradient-based segmentation method (‘PET edge’) of Article Title: Comparative analysis of batch correction methods for FDG PET/CT using metabolic radiogenomic data of lung cancer patients. Article Snippet: Image feature extraction was based on a previous study and used the gradient-based segmentation method (‘PET Edge’) in Article Title: Semi-automated segmentation methods of SSTR PET for dosimetry prediction in refractory meningioma patients treated by SSTR-targeted peptide receptor radionuclide therapy. Article Snippet: Objectives Tumor dosimetry with somatostatin receptor–targeted peptide receptor radionuclide therapy (SSTR-targeted PRRT) by 177Lu-DOTATATE may contribute to improved treatment monitoring of refractory meningioma.. Accurate dosimetry requires reliable and reproducible pretherapeutic PET tumor segmentation which is not currently available.. This study aims to propose semi-automated segmentation methods to determine metabolic tumor volume with pretherapeutic 68GaDOTATOC PET and evaluate SUVmean-derived values as predictive factors for tumor-absorbed dose. Article Title: Prognostic Value of Radiomic Analysis Using Pre- and Post-Treatment 18 F-FDG-PET/CT in Patients with Laryngeal Cancer and Hypopharyngeal Cancer Article Snippet: For quantitative analysis, the volumes of interest (VOIs) corresponding to the primary tumor were delineated using a semi-automated approach in the gradient-based algorithm known as PET Edge, integrated within Article Title: Prognostic Value of Axillary Lymph Node Texture Parameters Measured by Pretreatment 18 F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography in Locally Advanced Breast Cancer with Neoadjuvant Chemotherapy. Article Snippet: For quantitative analysis, the volumes of interest (VOIs) from the primary tumor and ALN were semi-automatically delineated using the gradient-based algorithm (PET Edge) in Article Title: Independent association of metabolic tumor response on FDG-PET with pulmonary toxicity following risk-adaptive chemoradiation for unresectable non-small cell lung cancer: Inherent radiosensitivity or immune response? Article Snippet: Background: In the context of a phase II trial of risk-adaptive chemoradiation, we evaluated whether tumor metabolic response could serve as a correlate of treatment sensitivity and toxicity.. Methods: Forty-five patients with AJCCv7 stage IIB-IIIB NSCLC enrolled on the FLARE-RT phase II trial (NCT02773238).. [18F]fluorodeoxyglucose (FDG) PET-CT images were acquired prior to treatment and after 24 Gy during week 3. Extraction:Article Title: Temporal Validation of an FDG-PET-Radiomic Model for Distant-Relapse-Free-Survival After Radio-Chemotherapy for Pancreatic Adenocarcinoma. Article Snippet: Tumors were segmented using a previously validated Article Title: Bayesian penalized likelihood PET reconstruction impact on quantitative metrics in diffuse large B-cell lymphoma Article Snippet: The moderator used Article Title: The prognostic value of radiomic features from pre- and post-treatment 18 F-FDG PET imaging in patients with nasopharyngeal carcinoma Article Snippet: Primary tumor segmentation of all pre- and post-treatment FDG PET images was computed using the gradient-based segmentation method (‘PET edge’) of Article Title: Comparative analysis of batch correction methods for FDG PET/CT using metabolic radiogenomic data of lung cancer patients. Article Snippet: Image feature extraction was based on a previous study and used the gradient-based segmentation method (‘PET Edge’) in Article Title: Semi-automated segmentation methods of SSTR PET for dosimetry prediction in refractory meningioma patients treated by SSTR-targeted peptide receptor radionuclide therapy. Article Snippet: Objectives Tumor dosimetry with somatostatin receptor–targeted peptide receptor radionuclide therapy (SSTR-targeted PRRT) by 177Lu-DOTATATE may contribute to improved treatment monitoring of refractory meningioma.. Accurate dosimetry requires reliable and reproducible pretherapeutic PET tumor segmentation which is not currently available.. This study aims to propose semi-automated segmentation methods to determine metabolic tumor volume with pretherapeutic 68GaDOTATOC PET and evaluate SUVmean-derived values as predictive factors for tumor-absorbed dose. Article Title: Prognostic Value of Radiomic Analysis Using Pre- and Post-Treatment 18 F-FDG-PET/CT in Patients with Laryngeal Cancer and Hypopharyngeal Cancer Article Snippet: For quantitative analysis, the volumes of interest (VOIs) corresponding to the primary tumor were delineated using a semi-automated approach in the gradient-based algorithm known as PET Edge, integrated within Article Title: Prognostic Value of Axillary Lymph Node Texture Parameters Measured by Pretreatment 18 F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography in Locally Advanced Breast Cancer with Neoadjuvant Chemotherapy. Article Snippet: For quantitative analysis, the volumes of interest (VOIs) from the primary tumor and ALN were semi-automatically delineated using the gradient-based algorithm (PET Edge) in Article Title: Independent association of metabolic tumor response on FDG-PET with pulmonary toxicity following risk-adaptive chemoradiation for unresectable non-small cell lung cancer: Inherent radiosensitivity or immune response? Article Snippet: Background: In the context of a phase II trial of risk-adaptive chemoradiation, we evaluated whether tumor metabolic response could serve as a correlate of treatment sensitivity and toxicity.. Methods: Forty-five patients with AJCCv7 stage IIB-IIIB NSCLC enrolled on the FLARE-RT phase II trial (NCT02773238).. [18F]fluorodeoxyglucose (FDG) PET-CT images were acquired prior to treatment and after 24 Gy during week 3. Activity Assay:Article Title: Temporal Validation of an FDG-PET-Radiomic Model for Distant-Relapse-Free-Survival After Radio-Chemotherapy for Pancreatic Adenocarcinoma. Article Snippet: Tumors were segmented using a previously validated Article Title: Bayesian penalized likelihood PET reconstruction impact on quantitative metrics in diffuse large B-cell lymphoma Article Snippet: The moderator used Article Title: The prognostic value of radiomic features from pre- and post-treatment 18 F-FDG PET imaging in patients with nasopharyngeal carcinoma Article Snippet: Primary tumor segmentation of all pre- and post-treatment FDG PET images was computed using the gradient-based segmentation method (‘PET edge’) of Article Title: Comparative analysis of batch correction methods for FDG PET/CT using metabolic radiogenomic data of lung cancer patients. Article Snippet: Image feature extraction was based on a previous study and used the gradient-based segmentation method (‘PET Edge’) in Article Title: Semi-automated segmentation methods of SSTR PET for dosimetry prediction in refractory meningioma patients treated by SSTR-targeted peptide receptor radionuclide therapy. Article Snippet: Objectives Tumor dosimetry with somatostatin receptor–targeted peptide receptor radionuclide therapy (SSTR-targeted PRRT) by 177Lu-DOTATATE may contribute to improved treatment monitoring of refractory meningioma.. Accurate dosimetry requires reliable and reproducible pretherapeutic PET tumor segmentation which is not currently available.. This study aims to propose semi-automated segmentation methods to determine metabolic tumor volume with pretherapeutic 68GaDOTATOC PET and evaluate SUVmean-derived values as predictive factors for tumor-absorbed dose. Article Title: Prognostic Value of Radiomic Analysis Using Pre- and Post-Treatment 18 F-FDG-PET/CT in Patients with Laryngeal Cancer and Hypopharyngeal Cancer Article Snippet: For quantitative analysis, the volumes of interest (VOIs) corresponding to the primary tumor were delineated using a semi-automated approach in the gradient-based algorithm known as PET Edge, integrated within Article Title: Prognostic Value of Axillary Lymph Node Texture Parameters Measured by Pretreatment 18 F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography in Locally Advanced Breast Cancer with Neoadjuvant Chemotherapy. Article Snippet: For quantitative analysis, the volumes of interest (VOIs) from the primary tumor and ALN were semi-automatically delineated using the gradient-based algorithm (PET Edge) in Article Title: Independent association of metabolic tumor response on FDG-PET with pulmonary toxicity following risk-adaptive chemoradiation for unresectable non-small cell lung cancer: Inherent radiosensitivity or immune response? Article Snippet: Background: In the context of a phase II trial of risk-adaptive chemoradiation, we evaluated whether tumor metabolic response could serve as a correlate of treatment sensitivity and toxicity.. Methods: Forty-five patients with AJCCv7 stage IIB-IIIB NSCLC enrolled on the FLARE-RT phase II trial (NCT02773238).. [18F]fluorodeoxyglucose (FDG) PET-CT images were acquired prior to treatment and after 24 Gy during week 3. |
