scholarly article | Q13442814 |
P50 | author | Maria Werner-Wasik | Q63151288 |
P2093 | author name string | Ying Xiao | |
Yoshio Arai | |||
Nitin Ohri | |||
Aaron S Nelson | |||
Patrick Kang | |||
Walter Choi | |||
Arden D Nelson | |||
Fabio D Almeida | |||
Jonathan W Piper | |||
Kristin D Brockway | |||
Peter F Faulhaber | |||
P2860 | cites work | Impact of FDG-PET on radiation therapy volume delineation in non-small-cell lung cancer | Q33201887 |
Monitoring response to therapy in cancer using [18F]-2-fluoro-2-deoxy-D-glucose and positron emission tomography: an overview of different analytical methods | Q33972540 | ||
18F-FDG PET/CT for image-guided and intensity-modulated radiotherapy | Q33973367 | ||
Consensus recommendations for the use of 18F-FDG PET as an indicator of therapeutic response in patients in National Cancer Institute Trials. | Q36495076 | ||
The development and testing of a digital PET phantom for the evaluation of tumor volume segmentation techniques | Q38781329 | ||
Observer variation in contouring gross tumor volume in patients with poorly defined non-small-cell lung tumors on CT: the impact of 18FDG-hybrid PET fusion | Q43796430 | ||
Defining a radiotherapy target with positron emission tomography | Q45133704 | ||
Comparison of tumor volumes as determined by pathologic examination and FDG-PET/CT images of non-small-cell lung cancer: a pilot study. | Q45999174 | ||
Comparison of different methods for delineation of 18F-FDG PET-positive tissue for target volume definition in radiotherapy of patients with non-Small cell lung cancer. | Q46639252 | ||
Threshold segmentation for PET target volume delineation in radiation treatment planning: the role of target-to-background ratio and target size | Q47233261 | ||
A gradient-based method for segmenting FDG-PET images: methodology and validation. | Q51026384 | ||
Correlation of PET standard uptake value and CT window-level thresholds for target delineation in CT-based radiation treatment planning. | Q51066909 | ||
Tri-dimensional automatic segmentation of PET volumes based on measured source-to-background ratios: influence of reconstruction algorithms. | Q51791722 | ||
Computerized three-dimensional segmented human anatomy | Q72406871 | ||
Segmentation of lung lesion volume by adaptive positron emission tomography image thresholding | Q73959185 | ||
P433 | issue | 3 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | non-small-cell lung carcinoma | Q3658562 |
P304 | page(s) | 1164-1171 | |
P577 | publication date | 2011-04-29 | |
P1433 | published in | International Journal of Radiation Oncology Biology Physics | Q2296252 |
P1476 | title | What is the best way to contour lung tumors on PET scans? Multiobserver validation of a gradient-based method using a NSCLC digital PET phantom | |
P478 | volume | 82 |
Q89171434 | 18F-FDG PET/CT and MRI features of myxoid liposarcomas and intramuscular myxomas |
Q39793373 | A Dirichlet process mixture model for automatic (18)F-FDG PET image segmentation: Validation study on phantoms and on lung and esophageal lesions |
Q37226679 | A comparison of amplitude-based and phase-based positron emission tomography gating algorithms for segmentation of internal target volumes of tumors subject to respiratory motion. |
Q47554321 | A novel iterative modified bicubic interpolation method enables high-contrast and high-resolution image generation for F-18 FDG-PET. |
Q91709752 | A phantom study to assess the reproducibility, robustness and accuracy of PET image segmentation methods against statistical fluctuations |
Q26825470 | A review on segmentation of positron emission tomography images |
Q55075688 | Accuracy of tumor segmentation from multi-parametric prostate MRI and 18F-choline PET/CT for focal prostate cancer therapy applications. |
Q47138202 | Anatomic, functional and molecular imaging in lung cancer precision radiation therapy: treatment response assessment and radiation therapy personalization |
Q38766127 | Classification and evaluation strategies of auto-segmentation approaches for PET: Report of AAPM task group No. 211. |
Q36304366 | Consistency of metabolic tumor volume of non-small-cell lung cancer primary tumor measured using 18F-FDG PET/CT at two different tracer uptake times |
Q49386829 | Current Methods to Define Metabolic Tumor Volume in Positron Emission Tomography: Which One is Better? |
Q38187365 | Current role of FDG PET/CT in lymphoma |
Q89037037 | Developing and validating a novel metabolic tumor volume risk stratification system for supplementing non-small cell lung cancer staging |
Q48148366 | Diagnostic performance of 18F-FDG PET/CT using point spread function reconstruction on initial staging of rectal cancer: a comparison study with conventional PET/CT and pelvic MRI. |
Q37069297 | Diffuse Large B-Cell Lymphoma: Prospective Multicenter Comparison of Early Interim FLT PET/CT versus FDG PET/CT with IHP, EORTC, Deauville, and PERCIST Criteria for Early Therapeutic Monitoring |
Q37653213 | Effect of different segmentation algorithms on metabolic tumor volume measured on 18F-FDG PET/CT of cervical primary squamous cell carcinoma |
Q64229701 | Efficacy of 4'-[methyl-11C] thiothymidine PET/CT before and after neoadjuvant therapy for predicting therapeutic responses in patients with esophageal cancer: a pilot study |
Q41998973 | Evaluation of PET/MRI for Tumor Volume Delineation for Head and Neck Cancer |
Q48247496 | F-18 FP-CIT PET in Multiple System Atrophy of the Cerebellar Type: Additional Role in Treatment. |
Q61814958 | F-FDG and C-4DST PET/CT for evaluating response to platinum-based doublet chemotherapy in advanced non-small cell lung cancer: a prospective study |
Q51040212 | FDG PET/CT for rectal carcinoma radiotherapy treatment planning: comparison of functional volume delineation algorithms and clinical challenges. |
Q38397651 | Functional imaging for radiotherapy treatment planning: current status and future directions-a review |
Q48685702 | Functional volumetric analysis of striatum using F-18 FP-CIT PET in patients with idiopathic Parkinson's disease and normal subjects |
Q35092030 | Gradient-based delineation of the primary GTV on FLT PET in squamous cell cancer of the thoracic esophagus and impact on radiotherapy planning |
Q64984297 | Gross tumour delineation on computed tomography and positron emission tomography-computed tomography in oesophageal cancer: A nationwide study. |
Q45371931 | Head and neck squamous cell cancer (stages III and IV) induction chemotherapy assessment: value of FDG volumetric imaging parameters |
Q47988569 | Hybrid positron emission tomography segmentation of heterogeneous lung tumors using 3D Slicer: improved GrowCut algorithm with threshold initialization. |
Q41906868 | Imaging for high-precision thoracic radiotherapy |
Q27025204 | Imaging techniques for tumour delineation and heterogeneity quantification of lung cancer: overview of current possibilities |
Q48208803 | Impact of PET and MRI threshold-based tumor volume segmentation on patient-specific targeted radionuclide therapy dosimetry using CLR1404. |
Q60048437 | Impact of Y PET gradient-based tumor segmentation on voxel-level dosimetry in liver radioembolization |
Q92669073 | Impact of contouring variability on oncological PET radiomics features in the lung |
Q47591667 | Impact of tumour motion compensation and delineation methods on FDG PET-based dose painting plan quality for NSCLC radiation therapy. |
Q38014317 | Independent prognostic value of whole-body metabolic tumor burden from FDG-PET in non-small cell lung cancer |
Q47297629 | Intra-reader reliability of FDG PET volumetric tumor parameters: effects of primary tumor size and segmentation methods. |
Q40000698 | Intratumoral heterogeneity of (18)F-FDG uptake predicts survival in patients with pancreatic ductal adenocarcinoma |
Q43526833 | Metabolic tumour volume and total lesion glycolysis, measured using preoperative 18F-FDG PET/CT, predict the recurrence of endometrial cancer |
Q64256369 | Metabolic tumour volume is prognostic in patients with non-small-cell lung cancer treated with stereotactic ablative radiotherapy |
Q61455996 | Multi-level otsu method to define metabolic tumor volume in positron emission tomography |
Q36282168 | Multi-site quality and variability analysis of 3D FDG PET segmentations based on phantom and clinical image data |
Q38202189 | PET/CT in therapy evaluation of patients with lung cancer |
Q34774840 | Positron Emission Tomography (PET) in Oncology |
Q47777467 | Positron Emission Tomography-Adjusted Intensity Modulated Radiation Therapy for Locally Advanced Non-Small Cell Lung Cancer |
Q40053178 | Prediction of EGFR and KRAS mutation in non-small cell lung cancer using quantitative 18F FDG-PET/CT metrics |
Q37180546 | Pretreatment 18F-FDG PET Textural Features in Locally Advanced Non-Small Cell Lung Cancer: Secondary Analysis of ACRIN 6668/RTOG 0235. |
Q35474006 | Pretreatment FDG-PET metrics in stage III non-small cell lung cancer: ACRIN 6668/RTOG 0235. |
Q90276315 | Prognostic Value of FDG-PET/CT Metabolic Parameters in Metastatic Radioiodine-Refractory Differentiated Thyroid Cancer |
Q35096212 | Prognostic value of FDG PET metabolic tumor volume in human papillomavirus-positive stage III and IV oropharyngeal squamous cell carcinoma |
Q50036872 | Prognostic value of FDG-PET and DWI in breast cancer |
Q37413672 | Prognostic value of metabolic tumor burden in lung cancer |
Q51005942 | Prognostic value of metabolic tumor burden on 18F-FDG PET in nonsurgical patients with non-small cell lung cancer. |
Q61800584 | Prognostic values of mid-radiotherapy F-FDG PET/CT in patients with esophageal cancer |
Q53014495 | Quantification of metabolic tumor activity and burden in patients with non-small-cell lung cancer: Is manual adjustment of semiautomatic gradient-based measurements necessary? |
Q92088677 | Radiomics in Oncological PET/CT: a Methodological Overview |
Q30275817 | Repeatability of 18F-FLT PET in a Multicenter Study of Patients with High-Grade Glioma |
Q90781919 | Revisiting the identification of tumor sub-volumes predictive of residual uptake after (chemo)radiotherapy: influence of segmentation methods on 18F-FDG PET/CT images |
Q38925887 | Risk-stratifying capacity of PET/CT metabolic tumor volume in stage IIIA non-small cell lung cancer |
Q90341255 | Semi-automatic segmentation from intrinsically-registered 18F-FDG-PET/MRI for treatment response assessment in a breast cancer cohort: comparison to manual DCE-MRI |
Q43491287 | Semiautomatic methods for segmentation of the proliferative tumour volume on sequential FLT PET/CT images in head and neck carcinomas and their relation to clinical outcome. |
Q36425348 | Stage III Non-Small Cell Lung Cancer: Prognostic Value of FDG PET Quantitative Imaging Features Combined with Clinical Prognostic Factors |
Q37144956 | State-of-the-Art Research on "Lymphomas: Role of Molecular Imaging for Staging, Prognostic Evaluation, and Treatment Response". |
Q35789209 | Superior prognostic utility of gross and metabolic tumor volume compared to standardized uptake value using PET/CT in head and neck squamous cell carcinoma patients treated with intensity-modulated radiotherapy |
Q57172944 | The developing role of FDG PET imaging for prognostication and radiotherapy target volume delineation in non-small cell lung cancer |
Q64994548 | The emerging field of radiomics in esophageal cancer: current evidence and future potential. |
Q38262130 | The utility of positron emission tomography in the treatment planning of image-guided radiotherapy for non-small cell lung cancer |
Q37433616 | The value of 18F-FDG PET before and after induction chemotherapy for the early prediction of a poor pathologic response to subsequent preoperative chemoradiotherapy in oesophageal adenocarcinoma. |
Q61810784 | Tumor volume delineation: A pilot study comparing a digital positron-emission tomography prototype with an analog positron-emission tomography system |
Q38016163 | Use of FDG-PET in Radiation Treatment Planning for Thoracic Cancers |
Q41677756 | Use of Positron Emission Tomography/Computed Tomography in Radiation Treatment Planning for Lung Cancer |
Q37354718 | Value of volume-based metabolic parameters for predicting survival in breast cancer patients treated with neoadjuvant chemotherapy |
Q45065502 | Variabilities of Magnetic Resonance Imaging-, Computed Tomography-, and Positron Emission Tomography-Computed Tomography-Based Tumor and Lymph Node Delineations for Lung Cancer Radiation Therapy Planning. |
Q47135805 | Volume-based metabolic parameter of breast cancer on preoperative 18F-FDG PET/CT could predict axillary lymph node metastasis |
Q50920033 | Voxel clustering for quantifying PET-based treatment response assessment. |
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