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Thureau S, Modzelewski R, Bohn P, Hapdey S, Gouel P, Dubray B, Vera P. Comparison of Hypermetabolic and Hypoxic Volumes Delineated on [ 18F]FDG and [ 18F]Fluoromisonidazole PET/CT in Non-small-cell Lung Cancer Patients. Mol Imaging Biol 2021; 22:764-771. [PMID: 31432388 DOI: 10.1007/s11307-019-01422-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
PURPOSE The high rates of failure in the radiotherapy target volume suggest that patients with stage II or III non-small-cell lung cancer (NSCLC) should receive an increased total dose of radiotherapy. 2-Deoxy-2-[18F]fluoro-D-glucose ([18F]FDG) and [18F]fluoromisonidazole ([18F]FMISO) (hypoxia) uptake on pre-radiotherapy positron emission tomography (PET)/X-ray computed tomography (CT) have been independently reported to identify intratumor subvolumes at higher risk of relapse after radiotherapy. We have compared the [18F]FDG and [18F]FMISO volumes defined by PET/CT in NSCLC patients included in a prospective study. PROCEDURES Thirty-four patients with non-resectable lung cancer underwent [18F]FDG and [18F]FMISO PET/CT before (pre-RT) and during radiotherapy (around 42 Gy, per-RT). The criteria were to delineate 40 % and 90 % SUVmax thresholds on [18F]FDG PET/CT (metabolic volumes), and SUV > 1.4 on pre-RT [18F]FMISO PET/CT (hypoxic volume). The functional volumes were delineated within the tumor volume as defined on co-registered CTs. RESULTS The mean pre-RT and per-RT [18F]FDG volumes were not statistically different (30.4 cc vs 22.2; P = 0.12). The mean pre-RT SUVmax [18F]FDG was higher than per-RT SUVmax (12.7 vs 6.5; P < 0.0001). The mean [18F]FMISO SUVmax and volumes were 2.7 and 1.37 cc, respectively. Volume-based analysis showed good overlap between [18F]FDG and [18F]FMISO for all methods of segmentation but a poor correlation for Jaccard or Dice Indices (DI). The DI maximum was 0.45 for a threshold at 40 or 50 %. CONCLUSION The correlation between [18F]FDG and [18F]FMISO uptake is low in NSCLC, making it possible to envisage different management strategies as the studies in progress show.
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Affiliation(s)
- Sébastien Thureau
- Department of Radiation Oncology, Henri Becquerel Cancer Center and Rouen University Hospital, & QuantIF - LITIS [EA (Equipe d'Accueil) 4108, FR CNRS 3638], Faculty of Medecine, University of Rouen, Rouen, France. .,Department of Nuclear Medicine, Henri Becquerel Cancer Center and Rouen University Hospital, & QuantIF - LITIS [EA (Equipe d'Accueil) 4108 - FR CNRS 3638], Faculty of Medicine, University of Rouen, Rouen, France.
| | - R Modzelewski
- Department of Nuclear Medicine, Henri Becquerel Cancer Center and Rouen University Hospital, & QuantIF - LITIS [EA (Equipe d'Accueil) 4108 - FR CNRS 3638], Faculty of Medicine, University of Rouen, Rouen, France
| | - P Bohn
- Department of Nuclear Medicine, Henri Becquerel Cancer Center and Rouen University Hospital, & QuantIF - LITIS [EA (Equipe d'Accueil) 4108 - FR CNRS 3638], Faculty of Medicine, University of Rouen, Rouen, France
| | - S Hapdey
- Department of Nuclear Medicine, Henri Becquerel Cancer Center and Rouen University Hospital, & QuantIF - LITIS [EA (Equipe d'Accueil) 4108 - FR CNRS 3638], Faculty of Medicine, University of Rouen, Rouen, France
| | - P Gouel
- Department of Nuclear Medicine, Henri Becquerel Cancer Center and Rouen University Hospital, & QuantIF - LITIS [EA (Equipe d'Accueil) 4108 - FR CNRS 3638], Faculty of Medicine, University of Rouen, Rouen, France
| | - B Dubray
- Department of Radiation Oncology, Henri Becquerel Cancer Center and Rouen University Hospital, & QuantIF - LITIS [EA (Equipe d'Accueil) 4108, FR CNRS 3638], Faculty of Medecine, University of Rouen, Rouen, France
| | - P Vera
- Department of Nuclear Medicine, Henri Becquerel Cancer Center and Rouen University Hospital, & QuantIF - LITIS [EA (Equipe d'Accueil) 4108 - FR CNRS 3638], Faculty of Medicine, University of Rouen, Rouen, France
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Thureau S, Dubray B, Modzelewski R, Bohn P, Hapdey S, Vincent S, Anger E, Gensanne D, Pirault N, Pierrick G, Vera P. FDG and FMISO PET-guided dose escalation with intensity-modulated radiotherapy in lung cancer. Radiat Oncol 2018; 13:208. [PMID: 30352608 PMCID: PMC6199734 DOI: 10.1186/s13014-018-1147-2] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2018] [Accepted: 10/03/2018] [Indexed: 12/25/2022] Open
Abstract
Background Concomitant chemo-radiotherapy is the reference treatment for non-resectable locally-advanced Non-Small Cell Lung Cancer (NSCLC). Increasing radiotherapy total dose in the whole tumour volume has been shown to be deleterious. Functional imaging with positron emission tomography (PET/CT) offers the potential to identify smaller and biologically meaningful target volumes that could be irradiated with larger doses without compromising Organs At Risk (OAR) tolerance. This study investigated four scenarios, based on 18FDG and 18F-miso PET/CT, to delineate the target volumes and derive radiotherapy plans delivering up to 74Gy. Method Twenty-one NSCLC patients, selected from a prospective phase II trial, had 18FDG- and 18F-miso PET/CT before the start of radiotherapy and 18FDG PET/CT during the radiotherapy (42Gy). The plans were based planned on a standard plan delivering 66 Gy (plan 1) and on three different boost strategies to deliver 74Gy total dose in pre-treatment 18FDG hotspot (70% of SUVmax) (plan 2), pre-treatment 18F-miso target (SUVmax > 1.4) (plan 3) and per-treatment 18FDG residual (40% of SUVmax). (plan 4). Results The mean target volumes were 4.8 cc (± 1.1) for 18FDG hotspot, 38.9 cc (± 14.5) for 18F-miso and 36.0 cc (± 10.1) for per-treatment 18FDG. In standard plan (66 Gy), the mean dose covering 95% of the PTV (D95%) were 66.5 (± 0.33), 66.1 (± 0.32) and 66.1 (± 0.32) Gy for 18FDG hotspot, 18F-miso and per-treatment 18FDG. In scenario 2, the mean D95% was 72.5 (± 0.25) Gy in 18FDG hotspot versus 67.9 (± 0.49) and 67.9 Gy (± 0.52) in 18F-miso and per-treatment 18FDG, respectively. In scenario 3, the mean D95% was 72.2 (± 0.27) Gy to 18F-miso versus 70.4 (± 0.74) and 69.5Gy (± 0.74) for 18FDG hotspot and per-treatment 18FDG, respectively. In scenario 4, the mean D95% was 73.1 (± 0.3) Gy to 18FDG per-treatment versus 71.9 (± 0.61) and 69.8 (± 0.61) Gy for 18FDG hotspot and 18F-miso, respectively. The dose/volume constraints to OARs were matched in all scenarios. Conclusion Escalated doses can be selectively planned in NSCLC target volumes delineated on 18FDG and 18F-miso PET/CT functional images. The most relevant strategy should be investigated in clinical trials. Trial registration (RTEP5, NCT01576796, registered 15 june 2012)
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Affiliation(s)
- Sébastien Thureau
- Department of Radiation Oncology and Medical Physics, Centre Henri Becquerel, QuantIF - LITIS [EA 4108], Université de Normandie, CS 11516, rue d'Amiens, 76038, Rouen Cedex 1, France. .,Department of Nuclear Medicine, Henri Becquerel Cancer Center and Rouen University Hospital, & QuantIF - LITIS [EA (Equipe d'Accueil) 4108 - FR CNRS 3638], Faculty of Medicine, University of Rouen, Rouen, France.
| | - Bernard Dubray
- Department of Radiation Oncology and Medical Physics, Centre Henri Becquerel, QuantIF - LITIS [EA 4108], Université de Normandie, CS 11516, rue d'Amiens, 76038, Rouen Cedex 1, France
| | - Romain Modzelewski
- Department of Nuclear Medicine, Henri Becquerel Cancer Center and Rouen University Hospital, & QuantIF - LITIS [EA (Equipe d'Accueil) 4108 - FR CNRS 3638], Faculty of Medicine, University of Rouen, Rouen, France
| | - Pierre Bohn
- Department of Nuclear Medicine, Henri Becquerel Cancer Center and Rouen University Hospital, & QuantIF - LITIS [EA (Equipe d'Accueil) 4108 - FR CNRS 3638], Faculty of Medicine, University of Rouen, Rouen, France
| | - Sébastien Hapdey
- Department of Nuclear Medicine, Henri Becquerel Cancer Center and Rouen University Hospital, & QuantIF - LITIS [EA (Equipe d'Accueil) 4108 - FR CNRS 3638], Faculty of Medicine, University of Rouen, Rouen, France
| | - Sabine Vincent
- Department of Radiation Oncology and Medical Physics, Centre Henri Becquerel, QuantIF - LITIS [EA 4108], Université de Normandie, CS 11516, rue d'Amiens, 76038, Rouen Cedex 1, France
| | - Elodie Anger
- Department of Radiation Oncology and Medical Physics, Centre Henri Becquerel, QuantIF - LITIS [EA 4108], Université de Normandie, CS 11516, rue d'Amiens, 76038, Rouen Cedex 1, France
| | - David Gensanne
- Department of Radiation Oncology and Medical Physics, Centre Henri Becquerel, QuantIF - LITIS [EA 4108], Université de Normandie, CS 11516, rue d'Amiens, 76038, Rouen Cedex 1, France
| | - Nicolas Pirault
- Department of Radiation Oncology and Medical Physics, Centre Henri Becquerel, QuantIF - LITIS [EA 4108], Université de Normandie, CS 11516, rue d'Amiens, 76038, Rouen Cedex 1, France
| | - Gouel Pierrick
- Department of Nuclear Medicine, Henri Becquerel Cancer Center and Rouen University Hospital, & QuantIF - LITIS [EA (Equipe d'Accueil) 4108 - FR CNRS 3638], Faculty of Medicine, University of Rouen, Rouen, France
| | - Pierre Vera
- Department of Nuclear Medicine, Henri Becquerel Cancer Center and Rouen University Hospital, & QuantIF - LITIS [EA (Equipe d'Accueil) 4108 - FR CNRS 3638], Faculty of Medicine, University of Rouen, Rouen, France
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Ma X, Siegelman J, Paik DS, Mulshine JL, St Pierre S, Buckler AJ. Volumes Learned: It Takes More Than Size to "Size Up" Pulmonary Lesions. Acad Radiol 2016; 23:1190-8. [PMID: 27287713 DOI: 10.1016/j.acra.2016.04.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2015] [Revised: 04/08/2016] [Accepted: 04/10/2016] [Indexed: 12/17/2022]
Abstract
RATIONALE AND OBJECTIVES This study aimed to review the current understanding and capabilities regarding use of imaging for noninvasive lesion characterization and its relationship to lung cancer screening and treatment. MATERIALS AND METHODS Our review of the state of the art was broken down into questions about the different lung cancer image phenotypes being characterized, the role of imaging and requirements for increasing its value with respect to increasing diagnostic confidence and quantitative assessment, and a review of the current capabilities with respect to those needs. RESULTS The preponderance of the literature has so far been focused on the measurement of lesion size, with increasing contributions being made to determine the formal performance of scanners, measurement tools, and human operators in terms of bias and variability. Concurrently, an increasing number of investigators are reporting utility and predictive value of measures other than size, and sensitivity and specificity is being reported. Relatively little has been documented on quantitative measurement of non-size features with corresponding estimation of measurement performance and reproducibility. CONCLUSIONS The weight of the evidence suggests characterization of pulmonary lesions built on quantitative measures adds value to the screening for, and treatment of, lung cancer. Advanced image analysis techniques may identify patterns or biomarkers not readily assessed by eye and may also facilitate management of multidimensional imaging data in such a way as to efficiently integrate it into the clinical workflow.
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Affiliation(s)
- Xiaonan Ma
- Elucid Bioimaging Inc., 225 Main Street, Wenham, MA 01984.
| | - Jenifer Siegelman
- Department of Radiology, Brigham and Women's Hospital, Boston Massachusetts; Department of Radiology (hospital-based), Harvard Medical School, Boston, Massachusetts
| | - David S Paik
- Elucid Bioimaging Inc., 225 Main Street, Wenham, MA 01984
| | - James L Mulshine
- Department of Internal Medicine, Rush University, Chicago, Illinois
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Simone CB, Houshmand S, Kalbasi A, Salavati A, Alavi A. PET-Based Thoracic Radiation Oncology. PET Clin 2016; 11:319-32. [DOI: 10.1016/j.cpet.2016.03.001] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
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Amini A, Yeh N, Gaspar LE, Kavanagh B, Karam SD. Stereotactic body radiation therapy (SBRT) for lung cancer patients previously treated with conventional radiotherapy: a review. Radiat Oncol 2014; 9:210. [PMID: 25239200 PMCID: PMC4261522 DOI: 10.1186/1748-717x-9-210] [Citation(s) in RCA: 55] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2014] [Accepted: 09/14/2014] [Indexed: 12/25/2022] Open
Abstract
Lung cancer continues to be one of the most prevalent malignancies worldwide and is the leading cause of death in both men and women. Presently, local control rates are quite poor. Improvements in imaging and radiation treatment delivery systems however have provided radiation oncologists with new tools to better target these tumors. Stereotactic body radiation therapy (SBRT) is one such technique that has shown efficacy as upfront treatment for lung cancer. In addition, more recent studies have demonstrated some effectiveness in recurrent tumors in prior irradiated fields as well. This review summarizes seven recent studies of re-irradiation with SBRT in patients with thoracic recurrences treated previously with conventionally fractionated radiation therapy. Combined, 140 patients were included. The median initial thoracic radiation doses ranged from 50-87.5 Gy and median re-irradiation dose ranged from 40-80 Gy. Local control rates varied from 65-92%. Re-irradiation was well tolerated with few grade 4 and 5 complications (observed in one study). Currently, based on these published reports, re-irradiation with SBRT appears feasible for in-field thoracic recurrences, though caution must be taken in all cases of retreatment.
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Affiliation(s)
| | | | | | | | - Sana D Karam
- Department of Radiation Oncology, The University of Colorado School of Medicine, 1665 Aurora Court, Room 1032, Aurora, CO 80045, USA.
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Respiratory motion reduction in PET/CT using abdominal compression for lung cancer patients. PLoS One 2014; 9:e98033. [PMID: 24837352 PMCID: PMC4024027 DOI: 10.1371/journal.pone.0098033] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2014] [Accepted: 04/14/2014] [Indexed: 12/25/2022] Open
Abstract
Purpose Respiratory motion causes substantial artifacts in reconstructed PET images when using helical CT as the attenuation map in PET/CT imaging. In this study, we aimed to reduce the respiratory artifacts in PET/CT images of patients with lung tumors using an abdominal compression device. Methods Twelve patients with lung cancer located in the middle or lower lobe of the lung were recruited. The patients were injected with 370 MBq of 18F-FDG. During PET, the patients assumed two bed positions for 1.5 min/bed. After conducting free-breathing imaging, we obtained images of the patients with abdominal compression by applying the same setup used in the free-breathing scan. The differences in the standardized uptake value (SUV)max, SUVmean, tumor volume, and the centroid of the tumors between PET and various CT schemes were measured. Results The SUVmax and SUVmean derived from PET/CT imaging using an abdominal compression device increased for all the lesions, compared with those obtained using the conventional approach. The percentage increases were 18.1% ±14% and 17% ±16.8% for SUVmax and SUVmean, respectively. PET/CT imaging combined with abdominal compression generally reduced the tumor mismatch between CT and the corresponding attenuation corrected PET images, with an average decrease of 1.9±1.7 mm over all the cases. Conclusions PET/CT imaging combined with abdominal compression reduces respiratory artifacts and PET/CT misregistration, and enhances quantitative SUV in tumor. Abdominal compression is easy to set up and is an effective method used in PET/CT imaging for clinical oncology, especially in the thoracic region.
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Latifi K, Feygelman V, Moros EG, Dilling TJ, Stevens CW, Zhang GG. Normalization of ventilation data from 4D-CT to facilitate comparison between datasets acquired at different times. PLoS One 2013; 8:e84083. [PMID: 24358330 PMCID: PMC3866128 DOI: 10.1371/journal.pone.0084083] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2013] [Accepted: 11/11/2013] [Indexed: 11/30/2022] Open
Abstract
Purpose The 4D-CT data used for comparing a patient’s ventilation distributions before and after lung radiotherapy are acquired at different times. As a result, an additional variable – the tidal volume (TV) – can alter the results. Therefore, in this paper we propose to normalize the ventilation to the same TV to eliminate that uncertainty. Methods Absolute ventilation (AV) data were generated for 6 stereotactic body radiation therapy (SBRT) cases before and after treatment, using the direct geometric algorithm and diffeomorphic morphons deformable image registration (DIR). Each pair of AV distributions was converted to TV-normalized, percentile ventilation (PV) and low-dose well-ventilated-normalized ventilation (LDWV) distributions. The ventilation change was calculated in various dose regions based on the treatment plans using the DIR-registered before and after treatment data sets. The ventilation change based on TV-normalized ventilation was compared with the AV as well as the data normalized by PV and LDWV. Results AV change may be misleading when the TV differs before and after treatment, which was found to be up to 6.7%. All three normalization methods produced a similar trend in ventilation change: the higher the dose to a region of lung, the greater the degradation in ventilation. In low dose regions (<5 Gy), ventilation appears relatively improved after treatment due to the relative nature of the normalized ventilation. However, the LDWV may not be reliable when the ventilation in the low-dose regions varies. PV exhibited a similar ventilation change trend compared to the TV-normalized in all cases. However, by definition, the ventilation distribution in the PV is significantly different from the original distribution. Conclusion Normalizing ventilation distributions by the TV is a simple and reliable method for evaluation of ventilation changes.
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Affiliation(s)
- Kujtim Latifi
- Department of Radiation Oncology, Moffitt Cancer Center, Tampa, Florida, United States of America
| | - Vladimir Feygelman
- Department of Radiation Oncology, Moffitt Cancer Center, Tampa, Florida, United States of America
| | - Eduardo G. Moros
- Department of Radiation Oncology, Moffitt Cancer Center, Tampa, Florida, United States of America
| | - Thomas J. Dilling
- Department of Radiation Oncology, Moffitt Cancer Center, Tampa, Florida, United States of America
| | - Craig W. Stevens
- Department of Radiation Oncology, Moffitt Cancer Center, Tampa, Florida, United States of America
| | - Geoffrey G. Zhang
- Department of Radiation Oncology, Moffitt Cancer Center, Tampa, Florida, United States of America
- * E-mail:
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