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MIMVista corp petedge tool
Petedge Tool, supplied by MIMVista corp, 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/petedge+tool/petedge+tool/pm34729628-86-11-14
Average 90 stars, based on 1 article reviews
petedge tool - by Bioz Stars, 2026-11
90/100 stars

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Related Articles

other:

Article Title: Pilot-phase PET/CT study targeting integrin α v β 6 in pancreatic cancer patients using the cystine-knot peptide-based 18 F-FP-R 0 1-MG-F2.
Article Snippet: Purpose A novel cystine-knot peptide–based PET radiopharmaceutical, F-FP-R01-MG-F2 (knottin), was developed to selectively bind to human integrin αvβ6 which is overexpressed in pancreatic cancer.. The purpose of this study is to evaluate the safety, biodistribution, dosimetry, and lesion uptake of F-FP-R01-MG-F2 in patients with pancreatic cancer.. Methods Fifteen patients (6 men, 9 women) with histologically confirmed pancreatic cancer were prospectively enrolled and underwent knottin PET/CT between March 2017 and February 2021 (ClinicalTrials.gov Identifier NCT02683824).

Article Title: Prognostic impact of an integrative analysis of [ 18 F]FDG PET parameters and infiltrating immune cell scores in lung adenocarcinoma
Article Snippet: For primary tumor segmentation, the PETedge tool of MIMvista (MIM Software Inc., USA) was used by a specialist.

Article Title: 18 F-Fluorothymidine PET is an early and superior predictor of progression-free survival following chemoimmunotherapy of diffuse large B cell lymphoma: a multicenter study
Article Snippet: The SUV max , lean body mass–corrected SUV peak or SUL peak (used for PERCIST analysis) of whole-body lesions, MTV, and TLG were measured with the aid of the PETedge tool within the MIMvista software.

Software:

Article Title: Correlation of 18-fluorodeoxyglucose PET/computed tomography parameters and clinical features to predict outcome for diffuse large B-cell lymphoma
Article Snippet: Methods We retrospectively evaluated 89 patients with DLBCL.. All patients had a baseline and an interim F-FDG PET/CT.. Seventy-nine also had an end-of-treatment PET/ CT (EOT-PET).

Positron Emission Tomography:

Article Title: Quantification of metabolic tumor activity and burden in patients with NSCLC: Is manual adjustment of semi-automatic gradient based measurements necessary?
Article Snippet: .. Primary tumor segmentation and metabolic evaluation All PET image analyses were done with the PETedge tool of the MIMvista software (MIMvista Corp, Cleveland, OH, USA) at the University of Chicago. ..

Article Title: Quantification of metabolic tumor activity and burden in patients with NSCLC: Is manual adjustment of semi-automatic gradient based measurements necessary?
Article Snippet: .. A 1.2-cm-diameter sphere within the tumor was used to calculate SUV peak . fig ft0 fig mode=article f1 fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window Figure 1: caption a7 PET images of a 63-year-old woman with a new diagnosis of NSCLC (adenocarcinoma), showing the measurements of MTV, TLG and maximum and peak SUVs of the primary tumor obtained with the MIMvista PETedge tool by using both the semi-automatic gradient methods without (A, semi-automatic gradient method) and with manual adjustment (B, manually adjusted semi-automatic gradient method). ..

Biomarker Discovery:

Article Title: Quantification of metabolic tumor activity and burden in patients with NSCLC: Is manual adjustment of semi-automatic gradient based measurements necessary?
Article Snippet: .. A 1.2-cm-diameter sphere within the tumor was used to calculate SUV peak . fig ft0 fig mode=article f1 fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window Figure 1: caption a7 PET images of a 63-year-old woman with a new diagnosis of NSCLC (adenocarcinoma), showing the measurements of MTV, TLG and maximum and peak SUVs of the primary tumor obtained with the MIMvista PETedge tool by using both the semi-automatic gradient methods without (A, semi-automatic gradient method) and with manual adjustment (B, manually adjusted semi-automatic gradient method). ..



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Agreement between MTVs and actual volumes in NEMA IQ phantom
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Image Search Results


Agreement between MTVs and actual volumes in NEMA IQ phantom

Journal: American Journal of Nuclear Medicine and Molecular Imaging

Article Title: Multi-level otsu method to define metabolic tumor volume in positron emission tomography

doi:

Figure Lengend Snippet: Agreement between MTVs and actual volumes in NEMA IQ phantom

Article Snippet: The lesions in the phantom were segmented using 4 approaches: 1) MO-PET, 2) gradient-based method using PETedge tool in MIMvista software, 3) conventional threshold methods which are relative threshold methods (20%, 40%, 60%, or 80% of the maximum activity), and 4) four background threshold methods (mean background +1 or +2 standard deviations, and mean background × 2 or × 2.5).

Techniques:

Representative NEMA IQ phantom PET image to compare accuracy between segmentation methods. A. In LBR 1.5:1, MO-PET and PETedge showed relatively accurate segmentation in three largest lesions in the phantom (diameter = 3.7, 2.8 and 2.2 cm) but 60% relative threshold overestimated the volumes in two lesions with diameters of 2.8 and 2.2 cm. B. In LBR 4:1 phantom, MO-PET (light blue colored ROI), and 60% relative threshold (green colored ROI) showed relatively accurate segmentation in two smallest lesions (diameter = 1.3, and 1 cm). However, PETedge (pink colored ROI) underestimated the actual volume of the two lesions. Upper row: CT, middle row: PET, lower row: PET/CT.

Journal: American Journal of Nuclear Medicine and Molecular Imaging

Article Title: Multi-level otsu method to define metabolic tumor volume in positron emission tomography

doi:

Figure Lengend Snippet: Representative NEMA IQ phantom PET image to compare accuracy between segmentation methods. A. In LBR 1.5:1, MO-PET and PETedge showed relatively accurate segmentation in three largest lesions in the phantom (diameter = 3.7, 2.8 and 2.2 cm) but 60% relative threshold overestimated the volumes in two lesions with diameters of 2.8 and 2.2 cm. B. In LBR 4:1 phantom, MO-PET (light blue colored ROI), and 60% relative threshold (green colored ROI) showed relatively accurate segmentation in two smallest lesions (diameter = 1.3, and 1 cm). However, PETedge (pink colored ROI) underestimated the actual volume of the two lesions. Upper row: CT, middle row: PET, lower row: PET/CT.

Article Snippet: The lesions in the phantom were segmented using 4 approaches: 1) MO-PET, 2) gradient-based method using PETedge tool in MIMvista software, 3) conventional threshold methods which are relative threshold methods (20%, 40%, 60%, or 80% of the maximum activity), and 4) four background threshold methods (mean background +1 or +2 standard deviations, and mean background × 2 or × 2.5).

Techniques: Positron Emission Tomography-Computed Tomography

MO-PET and PETedge segmentation in a patient with osteosarcoma. Repeated independent measurements using MO-PET (blue and light blue colored ROIs) and PETedge (red and pink colored ROIs) showed excellent intra-method agreements with the minor discrepancy. Note that the tumor portion with a low FDG uptake was included in PETedge segmentation but excluded in MO-PET segmentation.

Journal: American Journal of Nuclear Medicine and Molecular Imaging

Article Title: Multi-level otsu method to define metabolic tumor volume in positron emission tomography

doi:

Figure Lengend Snippet: MO-PET and PETedge segmentation in a patient with osteosarcoma. Repeated independent measurements using MO-PET (blue and light blue colored ROIs) and PETedge (red and pink colored ROIs) showed excellent intra-method agreements with the minor discrepancy. Note that the tumor portion with a low FDG uptake was included in PETedge segmentation but excluded in MO-PET segmentation.

Article Snippet: The lesions in the phantom were segmented using 4 approaches: 1) MO-PET, 2) gradient-based method using PETedge tool in MIMvista software, 3) conventional threshold methods which are relative threshold methods (20%, 40%, 60%, or 80% of the maximum activity), and 4) four background threshold methods (mean background +1 or +2 standard deviations, and mean background × 2 or × 2.5).

Techniques:

Intra-class correlation and Bland-Altman analysis of measurements using MO-PET and  PETedge  segmentation

Journal: American Journal of Nuclear Medicine and Molecular Imaging

Article Title: Multi-level otsu method to define metabolic tumor volume in positron emission tomography

doi:

Figure Lengend Snippet: Intra-class correlation and Bland-Altman analysis of measurements using MO-PET and PETedge segmentation

Article Snippet: The lesions in the phantom were segmented using 4 approaches: 1) MO-PET, 2) gradient-based method using PETedge tool in MIMvista software, 3) conventional threshold methods which are relative threshold methods (20%, 40%, 60%, or 80% of the maximum activity), and 4) four background threshold methods (mean background +1 or +2 standard deviations, and mean background × 2 or × 2.5).

Techniques:

Bland-Altman plot for repeated measurement using MO-PET and PETedge. Repeated measurements of MTV, SUVmean, and TLG using (A) MO-PET and (B) PETedge showed excellent agreements. (C) However, measurements of MTV, SUVmean, and TLG between MO-PET and PETedge showed substantial variation.

Journal: American Journal of Nuclear Medicine and Molecular Imaging

Article Title: Multi-level otsu method to define metabolic tumor volume in positron emission tomography

doi:

Figure Lengend Snippet: Bland-Altman plot for repeated measurement using MO-PET and PETedge. Repeated measurements of MTV, SUVmean, and TLG using (A) MO-PET and (B) PETedge showed excellent agreements. (C) However, measurements of MTV, SUVmean, and TLG between MO-PET and PETedge showed substantial variation.

Article Snippet: The lesions in the phantom were segmented using 4 approaches: 1) MO-PET, 2) gradient-based method using PETedge tool in MIMvista software, 3) conventional threshold methods which are relative threshold methods (20%, 40%, 60%, or 80% of the maximum activity), and 4) four background threshold methods (mean background +1 or +2 standard deviations, and mean background × 2 or × 2.5).

Techniques:

Event free survival time and hazard ratio

Journal: American Journal of Nuclear Medicine and Molecular Imaging

Article Title: Multi-level otsu method to define metabolic tumor volume in positron emission tomography

doi:

Figure Lengend Snippet: Event free survival time and hazard ratio

Article Snippet: The lesions in the phantom were segmented using 4 approaches: 1) MO-PET, 2) gradient-based method using PETedge tool in MIMvista software, 3) conventional threshold methods which are relative threshold methods (20%, 40%, 60%, or 80% of the maximum activity), and 4) four background threshold methods (mean background +1 or +2 standard deviations, and mean background × 2 or × 2.5).

Techniques:

Prediction of event free survival (EFS) using MTV (MO-PET) and MTV (PETedge). (A) ROC curves of MTV (MO-PET) and MTV (PETedge) for prediction of the event at two years. MTV (MO-PET) and MTV (PETedge) showed the similar area under curve (AUC) of 0.771, 0.781 respectively for prediction of the event at two years. Kaplan-Meyer curves between low and high MTV groups classified by (B) MTV (MO-PET) and (C) MTV (PETedge). (D) EFS was longest in low MTV group followed by high MTV (MO-PET or PETedge) group and high MTV (MO-PET and PETedge) group (P for trend = 0.0002). Low MTV (MO PET and PETedge) = patient group with low MTV by MTV (MO-PET) and MTV (PETedge), high MTV (MO-PET or PETedge) = patient group with high MTV by either MTV (MO-PET) or MTV (PETedge), high MTV (MO-PET and PETedge) = patient group with high MTV by both MTV (MO-PET) and MTV (PETedge).

Journal: American Journal of Nuclear Medicine and Molecular Imaging

Article Title: Multi-level otsu method to define metabolic tumor volume in positron emission tomography

doi:

Figure Lengend Snippet: Prediction of event free survival (EFS) using MTV (MO-PET) and MTV (PETedge). (A) ROC curves of MTV (MO-PET) and MTV (PETedge) for prediction of the event at two years. MTV (MO-PET) and MTV (PETedge) showed the similar area under curve (AUC) of 0.771, 0.781 respectively for prediction of the event at two years. Kaplan-Meyer curves between low and high MTV groups classified by (B) MTV (MO-PET) and (C) MTV (PETedge). (D) EFS was longest in low MTV group followed by high MTV (MO-PET or PETedge) group and high MTV (MO-PET and PETedge) group (P for trend = 0.0002). Low MTV (MO PET and PETedge) = patient group with low MTV by MTV (MO-PET) and MTV (PETedge), high MTV (MO-PET or PETedge) = patient group with high MTV by either MTV (MO-PET) or MTV (PETedge), high MTV (MO-PET and PETedge) = patient group with high MTV by both MTV (MO-PET) and MTV (PETedge).

Article Snippet: The lesions in the phantom were segmented using 4 approaches: 1) MO-PET, 2) gradient-based method using PETedge tool in MIMvista software, 3) conventional threshold methods which are relative threshold methods (20%, 40%, 60%, or 80% of the maximum activity), and 4) four background threshold methods (mean background +1 or +2 standard deviations, and mean background × 2 or × 2.5).

Techniques: