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Wang J, Yung J, Kadbi M, Ding Y, Fuller C, Ibbott G. SU-F-J-143: Initial Assessment of Image Quality of An Integrated MR-Linac System with ACR Phantom. Med Phys 2016. [DOI: 10.1118/1.4956051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Yan Y, Yang J, Beddar S, Ibbott G, Balter P, Kudchadker R, Krishnan S, Fuller C, Wang J. SU-F-J-168: Dosimetric Impact of MR Image Distortion in Treatment Planning. Med Phys 2016. [DOI: 10.1118/1.4956076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Ibbott G. MO-G-204-02: Assessing Cognitive Expertise of Medical Physics Diplomates. Med Phys 2016. [DOI: 10.1118/1.4957366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Wang J, Bosco G, Darenbourg B, Ibbott G. SU-F-J-144: Scatter and Leakage Survey of An Integrated MR-Linac System. Med Phys 2016. [DOI: 10.1118/1.4956052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Carroll M, Alqathami M, Ibbott G. SU-F-T-164: Investigation of PRESAGE Formulation On Signal Quenching in a Proton Beam. Med Phys 2016. [DOI: 10.1118/1.4956300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Fried D, Zhang L, Fave X, Ibbott G, Zhou S, Mawlawi O, Liao Z, Court L. MO-DE-207B-10: Impact of Morphologic Characteristics On Radiomics Features From Contast-Enhanced CT for Primary Lung Tumors. Med Phys 2016. [DOI: 10.1118/1.4957259] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Ibbott G. MO-B-BRB-04: 3D Dosimetry in End-To-End Dosimetry QA. Med Phys 2016. [DOI: 10.1118/1.4957186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Roed Y, Wang J, Pinsky L, Ibbott G. EP-1513: Polymer gels enable volumetric dosimetry of dose distributions from an MR-guided linac. Radiother Oncol 2016. [DOI: 10.1016/s0167-8140(16)32763-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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34
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O'Brien D, Roberts D, Towe S, Ibbott G, Sawakuchi G. PO-0799: Beam quality specifiers for an integrated MRI-linac. Radiother Oncol 2016. [DOI: 10.1016/s0167-8140(16)32049-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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35
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Alqathami M, Blencowe A, Geso M, Ibbott G. Quantitative 3D Determination of Radiosensitization by Bismuth-Based Nanoparticles. J Biomed Nanotechnol 2016; 12:464-71. [DOI: 10.1166/jbn.2016.2183] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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36
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Alqathami M, Blencowe A, Ibbott G. Experimental determination of the influence of oxygen on the PRESAGE®dosimeter. Phys Med Biol 2016; 61:813-24. [DOI: 10.1088/0031-9155/61/2/813] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
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37
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Fried DV, Mawlawi O, Zhang L, Fave X, Zhou S, Ibbott G, Liao Z, Court LE. Potential Use of (18)F-fluorodeoxyglucose Positron Emission Tomography-Based Quantitative Imaging Features for Guiding Dose Escalation in Stage III Non-Small Cell Lung Cancer. Int J Radiat Oncol Biol Phys 2015; 94:368-76. [PMID: 26853345 DOI: 10.1016/j.ijrobp.2015.10.029] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2015] [Revised: 10/07/2015] [Accepted: 10/20/2015] [Indexed: 12/25/2022]
Abstract
PURPOSE To determine whether previously identified quantitative image features (QIFs) based on (18)F-fluorodeoxyglucose positron emission tomography (FDG-PET) (co-occurrence matrix energy and solidity) are able to isolate subgroups of patients who would receive a benefit or detriment from dose escalation in terms of overall survival (OS) or progression-free survival (PFS). METHODS AND MATERIALS Subgroups of a previously analyzed 225 patient cohort were generated with the use of 5-percentile increment cutoff values of disease solidity and primary tumor co-occurrence matrix energy. The subgroups were analyzed with a log-rank test to determine whether there was a difference in OS and PFS between patients treated with 60 to 70 Gy and those receiving 74 Gy. RESULTS In the entire patient cohort, there was no statistical difference in terms of OS or PFS between patients receiving 74 Gy and those receiving 60 to 70 Gy. It was qualitatively observed that as disease solidity and primary co-occurrence matrix energy increased, patients receiving 74 Gy had an improved OS and PFS compared with those receiving 60 to 70 Gy. The opposite trend (detriment of receiving 74 Gy) was also observed regarding low values of disease solidity and primary co-occurrence matrix energy. CONCLUSIONS FDG-PET-based QIFs were found to be capable of isolating subgroups of patients who received a benefit or detriment from dose escalation.
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Fried DV, Mawlawi O, Zhang L, Fave X, Zhou S, Ibbott G, Liao Z, Court LE. Stage III Non-Small Cell Lung Cancer: Prognostic Value of FDG PET Quantitative Imaging Features Combined with Clinical Prognostic Factors. Radiology 2015; 278:214-22. [PMID: 26176655 DOI: 10.1148/radiol.2015142920] [Citation(s) in RCA: 62] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
PURPOSE To determine whether quantitative imaging features from pretreatment positron emission tomography (PET) can enhance patient overall survival risk stratification beyond what can be achieved with conventional prognostic factors in patients with stage III non-small cell lung cancer (NSCLC). MATERIALS AND METHODS The institutional review board approved this retrospective chart review study and waived the requirement to obtain informed consent. The authors retrospectively identified 195 patients with stage III NSCLC treated definitively with radiation therapy between January 2008 and January 2013. All patients underwent pretreatment PET/computed tomography before treatment. Conventional PET metrics, along with histogram, shape and volume, and co-occurrence matrix features, were extracted. Linear predictors of overall survival were developed from leave-one-out cross-validation. Predictive Kaplan-Meier curves were used to compare the linear predictors with both quantitative imaging features and conventional prognostic factors to those generated with conventional prognostic factors alone. The Harrell concordance index was used to quantify the discriminatory power of the linear predictors for survival differences of at least 0, 6, 12, 18, and 24 months. Models were generated with features present in more than 50% of the cross-validation folds. RESULTS Linear predictors of overall survival generated with both quantitative imaging features and conventional prognostic factors demonstrated improved risk stratification compared with those generated with conventional prognostic factors alone in terms of log-rank statistic (P = .18 vs P = .0001, respectively) and concordance index (0.62 vs 0.58, respectively). The use of quantitative imaging features selected during cross-validation improved the model using conventional prognostic factors alone (P = .007). Disease solidity and primary tumor energy from the co-occurrence matrix were found to be selected in all folds of cross-validation. CONCLUSION Pretreatment PET features were associated with overall survival when adjusting for conventional prognostic factors in patients with stage III NSCLC.
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Lee H, Rubinstein A, Ibbott G. SU-E-J-203: Investigation of 1.5T Magnetic Field Dose Effects On Organs of Different Density. Med Phys 2015. [DOI: 10.1118/1.4924289] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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40
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O'Brien DJ, Hackett SL, van Asselen B, Ibbott G, Raaymakers BW, Sawakuchi GO, Wolthaus JWH. TH-CD-304-08: Small Air-Gaps Affect the Response of Ionization Chambers in the Presence of a 1.5 T Magnetic Field. Med Phys 2015. [DOI: 10.1118/1.4926214] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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41
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Taylor P, Lowenstein J, Kry S, Ibbott G, Followill D. TU-EF-304-06: A Comparison of CT Number to Relative Linear Stopping Power Conversion Curves Used by Proton Therapy Centers. Med Phys 2015. [DOI: 10.1118/1.4925661] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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42
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O'Brien DJ, Mathis MVP, Roberts DA, Ibbott G, Sawakuchi GO. TU-F-CAMPUS-T-01: Calculation of KQ for a Variety of Commercially Available Ionization Chambers in the Presence of An External Magnetic Field for MR-Linac Dosimetry. Med Phys 2015. [DOI: 10.1118/1.4925801] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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43
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Roed Y, Tailor R, Pinsky L, Ibbott G. SU-E-T-716: Suitability Study of a Unique 3D Dosimeter for Commissioning Radiation Treatment Machines. Med Phys 2015. [DOI: 10.1118/1.4925080] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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44
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Wen Z, Alvarez P, Ibbott G. SU-E-J-208: Feasibility Study On Using Small Plastic Phantoms for Auditing Radiation Output of MR-Linac Systems. Med Phys 2015. [DOI: 10.1118/1.4924294] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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45
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Wang J, Yang J, Hwang K, Wen Z, Court L, Ibbott G. SU-E-J-227: Evaluation of Residual Geometric Distortion in MRI for Treatment Planning. Med Phys 2015. [DOI: 10.1118/1.4924313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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46
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Carroll M, Alqathami M, Blencowe A, Ibbott G. SU-E-T-515: Investigating the Linear Energy Transfer Dependency of Different PRESAGE Formulations in a Proton Beam. Med Phys 2015. [DOI: 10.1118/1.4924877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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47
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Wang J, Yang J, Marshall S, Wen Z, Court L, Ibbott G. SU-E-J-205: Dose Distribution Differences Caused by System Related Geometric Distortion in MRI-Guided Radiation Treatment System. Med Phys 2015. [DOI: 10.1118/1.4924291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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48
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Lee H, Alqathami M, Wang J, Blencowe A, Ibbott G. SU-E-T-516: Investigation of a Novel Radiochromic Radiation Reporting System Utilizing the Reduction of Ferric Ion. Med Phys 2015. [DOI: 10.1118/1.4924878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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49
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Lim T, Wang J, Frank S, Stafford R, Bruno T, Bathala T, Mahmood U, Pugh T, Ibbott G, Kudchadker R. SU-E-J-214: MR Protocol Development to Visualize Sirius MRI Markers in Prostate Brachytherapy Patients for MR-Based Post-Implant Dosimetry. Med Phys 2015. [DOI: 10.1118/1.4924300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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50
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Steinmann A, Adamovics J, Followill D, Ibbott G. SU-E-T-171: Characterization of the New Xoft Axxent Electronic Brachytherapy Source Using PRESAGE Dosimeters. Med Phys 2015. [DOI: 10.1118/1.4924533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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