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Clinical <t>PET-CT</t> scan from 2005 of a 40-year-old man with p16-positive oropharyngeal cancer. The patient was an active smoker at the time of imaging and did not receive cisplatin-based treatment. The axial images show the deep learning-based AI-PET-GTV delineation (green): the top panel displays fused PET-CT images (Hounsfield units, HU), while the bottom panel presents PET images alone (standardized uptake value, SUV). The manual GTV is shown in blue, and the overlapping region between manual GTV and AI-PET-GTV is shown in red. AI-PET-GTV volume was 29.0 cm 3 compared to a manually delineated GTV of 141.2 cm 3 . The patient developed distant metastases 516 days after completion of treatment. This case was acquired independently in 2005 using different hardware, protocols, and annotations than those used for model development. The value shown above each slice represents the cranio-caudal distance (in cm) from the apex of the head. AI = artificial intelligence
Generation Integrated Pet Ct Systems, supplied by Siemens Healthineers, 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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t biograph mmr integrated pet mri system 81  (Siemens Healthineers)
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Clinical <t>PET-CT</t> scan from 2005 of a 40-year-old man with p16-positive oropharyngeal cancer. The patient was an active smoker at the time of imaging and did not receive cisplatin-based treatment. The axial images show the deep learning-based AI-PET-GTV delineation (green): the top panel displays fused PET-CT images (Hounsfield units, HU), while the bottom panel presents PET images alone (standardized uptake value, SUV). The manual GTV is shown in blue, and the overlapping region between manual GTV and AI-PET-GTV is shown in red. AI-PET-GTV volume was 29.0 cm 3 compared to a manually delineated GTV of 141.2 cm 3 . The patient developed distant metastases 516 days after completion of treatment. This case was acquired independently in 2005 using different hardware, protocols, and annotations than those used for model development. The value shown above each slice represents the cranio-caudal distance (in cm) from the apex of the head. AI = artificial intelligence
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t biograph mmr integrated pet mri system  (Siemens Healthineers)
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Clinical <t>PET-CT</t> scan from 2005 of a 40-year-old man with p16-positive oropharyngeal cancer. The patient was an active smoker at the time of imaging and did not receive cisplatin-based treatment. The axial images show the deep learning-based AI-PET-GTV delineation (green): the top panel displays fused PET-CT images (Hounsfield units, HU), while the bottom panel presents PET images alone (standardized uptake value, SUV). The manual GTV is shown in blue, and the overlapping region between manual GTV and AI-PET-GTV is shown in red. AI-PET-GTV volume was 29.0 cm 3 compared to a manually delineated GTV of 141.2 cm 3 . The patient developed distant metastases 516 days after completion of treatment. This case was acquired independently in 2005 using different hardware, protocols, and annotations than those used for model development. The value shown above each slice represents the cranio-caudal distance (in cm) from the apex of the head. AI = artificial intelligence
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Clinical <t>PET-CT</t> scan from 2005 of a 40-year-old man with p16-positive oropharyngeal cancer. The patient was an active smoker at the time of imaging and did not receive cisplatin-based treatment. The axial images show the deep learning-based AI-PET-GTV delineation (green): the top panel displays fused PET-CT images (Hounsfield units, HU), while the bottom panel presents PET images alone (standardized uptake value, SUV). The manual GTV is shown in blue, and the overlapping region between manual GTV and AI-PET-GTV is shown in red. AI-PET-GTV volume was 29.0 cm 3 compared to a manually delineated GTV of 141.2 cm 3 . The patient developed distant metastases 516 days after completion of treatment. This case was acquired independently in 2005 using different hardware, protocols, and annotations than those used for model development. The value shown above each slice represents the cranio-caudal distance (in cm) from the apex of the head. AI = artificial intelligence
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integrated whole body pet mri  (Siemens Healthineers)
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Clinical <t>PET-CT</t> scan from 2005 of a 40-year-old man with p16-positive oropharyngeal cancer. The patient was an active smoker at the time of imaging and did not receive cisplatin-based treatment. The axial images show the deep learning-based AI-PET-GTV delineation (green): the top panel displays fused PET-CT images (Hounsfield units, HU), while the bottom panel presents PET images alone (standardized uptake value, SUV). The manual GTV is shown in blue, and the overlapping region between manual GTV and AI-PET-GTV is shown in red. AI-PET-GTV volume was 29.0 cm 3 compared to a manually delineated GTV of 141.2 cm 3 . The patient developed distant metastases 516 days after completion of treatment. This case was acquired independently in 2005 using different hardware, protocols, and annotations than those used for model development. The value shown above each slice represents the cranio-caudal distance (in cm) from the apex of the head. AI = artificial intelligence
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Clinical <t>PET-CT</t> scan from 2005 of a 40-year-old man with p16-positive oropharyngeal cancer. The patient was an active smoker at the time of imaging and did not receive cisplatin-based treatment. The axial images show the deep learning-based AI-PET-GTV delineation (green): the top panel displays fused PET-CT images (Hounsfield units, HU), while the bottom panel presents PET images alone (standardized uptake value, SUV). The manual GTV is shown in blue, and the overlapping region between manual GTV and AI-PET-GTV is shown in red. AI-PET-GTV volume was 29.0 cm 3 compared to a manually delineated GTV of 141.2 cm 3 . The patient developed distant metastases 516 days after completion of treatment. This case was acquired independently in 2005 using different hardware, protocols, and annotations than those used for model development. The value shown above each slice represents the cranio-caudal distance (in cm) from the apex of the head. AI = artificial intelligence
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Clinical <t>PET-CT</t> scan from 2005 of a 40-year-old man with p16-positive oropharyngeal cancer. The patient was an active smoker at the time of imaging and did not receive cisplatin-based treatment. The axial images show the deep learning-based AI-PET-GTV delineation (green): the top panel displays fused PET-CT images (Hounsfield units, HU), while the bottom panel presents PET images alone (standardized uptake value, SUV). The manual GTV is shown in blue, and the overlapping region between manual GTV and AI-PET-GTV is shown in red. AI-PET-GTV volume was 29.0 cm 3 compared to a manually delineated GTV of 141.2 cm 3 . The patient developed distant metastases 516 days after completion of treatment. This case was acquired independently in 2005 using different hardware, protocols, and annotations than those used for model development. The value shown above each slice represents the cranio-caudal distance (in cm) from the apex of the head. AI = artificial intelligence
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integrated in-line pet/ct system gemini tf big bore - by Bioz Stars, 2026-10
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Image Search Results


Clinical PET-CT scan from 2005 of a 40-year-old man with p16-positive oropharyngeal cancer. The patient was an active smoker at the time of imaging and did not receive cisplatin-based treatment. The axial images show the deep learning-based AI-PET-GTV delineation (green): the top panel displays fused PET-CT images (Hounsfield units, HU), while the bottom panel presents PET images alone (standardized uptake value, SUV). The manual GTV is shown in blue, and the overlapping region between manual GTV and AI-PET-GTV is shown in red. AI-PET-GTV volume was 29.0 cm 3 compared to a manually delineated GTV of 141.2 cm 3 . The patient developed distant metastases 516 days after completion of treatment. This case was acquired independently in 2005 using different hardware, protocols, and annotations than those used for model development. The value shown above each slice represents the cranio-caudal distance (in cm) from the apex of the head. AI = artificial intelligence

Journal: EJNMMI Research

Article Title: Non-inferiority of automated deep learning-based [ 18 F]FDG PET/CT tumour volume compared to manual GTV for prognostic modelling in head and neck cancer

doi: 10.1186/s13550-026-01377-0

Figure Lengend Snippet: Clinical PET-CT scan from 2005 of a 40-year-old man with p16-positive oropharyngeal cancer. The patient was an active smoker at the time of imaging and did not receive cisplatin-based treatment. The axial images show the deep learning-based AI-PET-GTV delineation (green): the top panel displays fused PET-CT images (Hounsfield units, HU), while the bottom panel presents PET images alone (standardized uptake value, SUV). The manual GTV is shown in blue, and the overlapping region between manual GTV and AI-PET-GTV is shown in red. AI-PET-GTV volume was 29.0 cm 3 compared to a manually delineated GTV of 141.2 cm 3 . The patient developed distant metastases 516 days after completion of treatment. This case was acquired independently in 2005 using different hardware, protocols, and annotations than those used for model development. The value shown above each slice represents the cranio-caudal distance (in cm) from the apex of the head. AI = artificial intelligence

Article Snippet: All patients in the evaluation cohort underwent radiotherapy planning scans on older-generation integrated PET/CT systems: Biograph 40 TruePoint 40 HD-PET and Biograph 16 TruePoint (Siemens Healthineers, Erlangen, Germany), and Discovery LS, 4 Slice (GE Healthcare, Chicago, IL, USA).

Techniques: Positron Emission Tomography-Computed Tomography, Imaging