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Early lesion-specific 18F-FDG PET response to chemotherapy predicts time to lesion progression in locally advanced non-small cell lung cancer. Radiother Oncol 2016; 118:460-4. [DOI: 10.1016/j.radonc.2016.01.009] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2015] [Revised: 01/07/2016] [Accepted: 01/10/2016] [Indexed: 01/19/2023]
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102
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Update on F-18-fluoro-deoxy-glucose-PET/computed tomography in nonsmall cell lung cancer. Curr Opin Pulm Med 2016; 21:314-21. [PMID: 25978629 DOI: 10.1097/mcp.0000000000000182] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
PURPOSE OF REVIEW The aim of this review is to provide an outline of current evidence for the use of F-18-fluoro-deoxy-glucose PET computed tomography (FDG-PET/CT) in nonsmall cell lung cancer (NSCLC) for diagnosis, staging, radiotherapy planning, response assessment and response monitoring. RECENT FINDINGS Management of patients with NSCLC requires a multimodality approach to accurately diagnose and stage patients. In this approach, FDG-PET/CT has become a standard staging instrument in lung cancer. FDG-PET/CT is, in addition to staging, also valuable for the characterization of the solitary pulmonary nodule. An increased uptake in the nodule as compared with mediastinal blood pool is suspected for malignancy. In radiotherapy planning, FDG-PET/CT can assist the radiation oncologist for optimal dose delivery to the tumour, while sparing healthy tissues. Evidence of the prognostic and predictive implications of FDG-PET/CT is accumulating. Volumetric parameters of PET, such as metabolic active tumour volume and total lesion glycolysis, are promising predictive and prognostic biomarkers. However, for implementation of metabolic response parameters in clinical practice, more randomized, PET-based, multicentre trials are necessary. The introduction of integrated PET and MRI scanners did not change the pivotal role of standard FDG-PET/CT yet, as with current technology, PET/MRI did not show superior performance in thoracic staging. SUMMARY The role of PET is described for diagnosis, staging and response assessment.
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103
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Detection of bladder metabolic artifacts in (18)F-FDG PET imaging. Comput Biol Med 2016; 71:77-85. [PMID: 26897070 DOI: 10.1016/j.compbiomed.2016.02.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2015] [Revised: 02/01/2016] [Accepted: 02/02/2016] [Indexed: 12/18/2022]
Abstract
Positron emission tomography using (18)F-fluorodeoxyglucose ((18)F-FDG-PET) is a widely used imaging modality in oncology. It enables significant functional information to be included in analyses of anatomical data provided by other image modalities. Although PET offers high sensitivity in detecting suspected malignant metabolism, (18)F-FDG uptake is not tumor-specific and can also be fixed in surrounding healthy tissue, which may consequently be mistaken as cancerous. PET analyses may be particularly hampered in pelvic-located cancers by the bladder׳s physiological uptake potentially obliterating the tumor uptake. In this paper, we propose a novel method for detecting (18)F-FDG bladder artifacts based on a multi-feature double-step classification approach. Using two manually defined seeds (tumor and bladder), the method consists of a semi-automated double-step clustering strategy that simultaneously takes into consideration standard uptake values (SUV) on PET, Hounsfield values on computed tomography (CT), and the distance to the seeds. This method was performed on 52 PET/CT images from patients treated for locally advanced cervical cancer. Manual delineations of the bladder on CT images were used in order to evaluate bladder uptake detection capability. Tumor preservation was evaluated using a manual segmentation of the tumor, with a threshold of 42% of the maximal uptake within the tumor. Robustness was assessed by randomly selecting different initial seeds. The classification averages were 0.94±0.09 for sensitivity, 0.98±0.01 specificity, and 0.98±0.01 accuracy. These results suggest that this method is able to detect most (18)F-FDG bladder metabolism artifacts while preserving tumor uptake, and could thus be used as a pre-processing step for further non-parasitized PET analyses.
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104
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Ohri N, Duan F, Snyder BS, Wei B, Machtay M, Alavi A, Siegel BA, Johnson DW, Bradley JD, DeNittis A, Werner-Wasik M, El Naqa I. Pretreatment 18F-FDG PET Textural Features in Locally Advanced Non-Small Cell Lung Cancer: Secondary Analysis of ACRIN 6668/RTOG 0235. J Nucl Med 2016; 57:842-8. [PMID: 26912429 DOI: 10.2967/jnumed.115.166934] [Citation(s) in RCA: 65] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2015] [Accepted: 01/13/2016] [Indexed: 12/25/2022] Open
Abstract
UNLABELLED In a secondary analysis of American College of Radiology Imaging Network (ACRIN) 6668/RTOG 0235, high pretreatment metabolic tumor volume (MTV) on (18)F-FDG PET was found to be a poor prognostic factor for patients treated with chemoradiotherapy for locally advanced non-small cell lung cancer (NSCLC). Here we utilize the same dataset to explore whether heterogeneity metrics based on PET textural features can provide additional prognostic information. METHODS Patients with locally advanced NSCLC underwent (18)F-FDG PET prior to treatment. A gradient-based segmentation tool was used to contour each patient's primary tumor. MTV, maximum SUV, and 43 textural features were extracted for each tumor. To address overfitting and high collinearity among PET features, the least absolute shrinkage and selection operator (LASSO) method was applied to identify features that were independent predictors of overall survival (OS) after adjusting for MTV. Recursive binary partitioning in a conditional inference framework was utilized to identify optimal thresholds. Kaplan-Meier curves and log-rank testing were used to compare outcomes among patient groups. RESULTS Two hundred one patients met inclusion criteria. The LASSO procedure identified 1 textural feature (SumMean) as an independent predictor of OS. The optimal cutpoint for MTV was 93.3 cm(3), and the optimal SumMean cutpoint for tumors above 93.3 cm(3) was 0.018. This grouped patients into three categories: low tumor MTV (n = 155; median OS, 22.6 mo), high tumor MTV and high SumMean (n = 23; median OS, 20.0 mo), and high tumor MTV and low SumMean (n = 23; median OS, 6.2 mo; log-rank P < 0.001). CONCLUSION We have described an appropriate methodology to evaluate the prognostic value of textural PET features in the context of established prognostic factors. We have also identified a promising feature that may have prognostic value in locally advanced NSCLC patients with large tumors who are treated with chemoradiotherapy. Validation studies are warranted.
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Affiliation(s)
- Nitin Ohri
- Department of Radiation Oncology, Montefiore Medical Center and Albert Einstein College of Medicine, Bronx, New York
| | - Fenghai Duan
- Department of Biostatistics and Center for Statistical Sciences, Brown University School of Public Health, Providence, Rhode Island
| | - Bradley S Snyder
- Department of Biostatistics and Center for Statistical Sciences, Brown University School of Public Health, Providence, Rhode Island
| | - Bo Wei
- Emory University, Atlanta, Georgia
| | - Mitchell Machtay
- Department of Radiation Oncology, University Hospitals Seidman Cancer Center, Case Comprehensive Cancer Center and Case Western Reserve University, Cleveland, Ohio
| | - Abass Alavi
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Barry A Siegel
- Mallinckrodt Institute of Radiology and the Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri
| | - Douglas W Johnson
- Department of Radiation Oncology, Baptist Cancer Institute, Jacksonville, Florida
| | - Jeffrey D Bradley
- Mallinckrodt Institute of Radiology and the Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri
| | - Albert DeNittis
- Department of Radiation Oncology, Lankenau Hospital and Lankenau Institute for Medical Research, Lower Merion, Pennsylvania
| | - Maria Werner-Wasik
- Department of Radiation Oncology, Thomas Jefferson University, Philadelphia, Pennsylvania; and
| | - Issam El Naqa
- University of Michigan Ann Arbor, Ann Arbor, Michigan
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105
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Liu J, Dong M, Sun X, Li W, Xing L, Yu J. Prognostic Value of 18F-FDG PET/CT in Surgical Non-Small Cell Lung Cancer: A Meta-Analysis. PLoS One 2016; 11:e0146195. [PMID: 26727114 PMCID: PMC4699812 DOI: 10.1371/journal.pone.0146195] [Citation(s) in RCA: 110] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2015] [Accepted: 12/13/2015] [Indexed: 12/14/2022] Open
Abstract
Background The identification of surgical non-small cell lung cancer (NSCLC) patients with poor prognosis is a priority in clinical oncology because of their high 5-year mortality. This meta-analysis explored the prognostic value of maximal standardized uptake value (SUVmax), metabolic tumor volume (MTV) and total lesion glycolysis (TLG) on disease-free survival (DFS) and overall survival (OS) in surgical NSCLC patients. Materials and Methods MEDLINE, EMBASE and Cochrane Libraries were systematically searched until August 1, 2015. Prospective or retrospective studies that evaluated the prognostic roles of preoperative 18F-FDG PET/CT with complete DFS and OS data in surgical NSCLC patients were included. The impact of SUVmax, MTV or TLG on survival was measured using hazard ratios (HR). Sub-group analyses were performed based on disease stage, pathological classification, surgery only and cut-off values. Results Thirty-six studies comprised of 5807 patients were included. The combined HRs for DFS were 2.74 (95%CI 2.33–3.24, unadjusted) and 2.43 (95%CI: 1.76–3.36, adjusted) for SUVmax, 2.27 (95%CI 1.77–2.90, unadjusted) and 2.49 (95%CI 1.23–5.04, adjusted) for MTV, and 2.46 (95%CI 1.91–3.17, unadjusted) and 2.97 (95%CI 1.68–5.28, adjusted) for TLG. The pooled HRs for OS were 2.54 (95%CI 1.86–3.49, unadjusted) and 1.52 (95%CI 1.16–2.00, adjusted) for SUVmax, 2.07 (95%CI 1.16–3.69, unadjusted) and 1.91 (95%CI 1.13–3.22, adjusted) for MTV, and 2.47 (95%CI 1.38–4.43, unadjusted) and 1.94 (95%CI 1.12–3.33, adjusted) for TLG. Begg’s test detected publication bias, the trim and fill procedure was performed, and similar HRs were obtained. The prognostic role of SUVmax, MTV and TLG remained similar in the sub-group analyses. Conclusions High values of SUVmax, MTV and TLG predicted a higher risk of recurrence or death in patients with surgical NSCLC. We suggest the use of FDG PET/CT to select patients who are at high risk of disease recurrence or death and may benefit from aggressive treatments.
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Affiliation(s)
- Jing Liu
- Department of Radiation Oncology and Shandong Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Jinan, Shandong, China
| | - Min Dong
- Department of Oncology, the People’s Hospital of Pingyi County, Pingyi, Shandong, China
| | - Xiaorong Sun
- Department of Radiology, Shandong Cancer Hospital and Institute, Jinan, Shandong, China
| | - Wenwu Li
- Department of Radiology, Shandong Cancer Hospital and Institute, Jinan, Shandong, China
| | - Ligang Xing
- Department of Radiation Oncology and Shandong Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Jinan, Shandong, China
- * E-mail:
| | - Jinming Yu
- Department of Radiation Oncology and Shandong Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Jinan, Shandong, China
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Warner A, Dahele M, Hu B, Palma DA, Senan S, Oberije C, Tsujino K, Moreno-Jimenez M, Kim TH, Marks LB, Rengan R, De Petris L, Ramella S, De Ruyck K, De Dios NR, Bradley JD, Rodrigues G. Factors Associated With Early Mortality in Patients Treated With Concurrent Chemoradiation Therapy for Locally Advanced Non-Small Cell Lung Cancer. Int J Radiat Oncol Biol Phys 2015; 94:612-20. [PMID: 26867890 DOI: 10.1016/j.ijrobp.2015.11.030] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2015] [Accepted: 11/17/2015] [Indexed: 12/25/2022]
Abstract
PURPOSE Concurrent chemoradiation therapy (con-CRT) is recommended for fit patients with locally advanced non-small cell lung cancer (LA-NSCLC) but is associated with toxicity, and observed survival continues to be limited. Identifying factors associated with early mortality could improve patient selection and identify strategies to improve prognosis. METHODS AND MATERIALS Analysis of a multi-institutional LA-NSCLC database consisting of 1245 patients treated with con-CRT in 13 institutions was performed to identify factors predictive of 180-day survival. Recursive partitioning analysis (RPA) was performed to identify prognostic groups for 180-day survival. Multivariate logistic regression analysis was used to create a clinical nomogram predicting 180-day survival based on important predictors from RPA. RESULTS Median follow-up was 43.5 months (95% confidence interval [CI]: 40.3-48.8) and 127 patients (10%) died within 180 days of treatment. Median, 180-day, and 1- to 5-year (by yearly increments) actuarial survival rates were 20.9 months, 90%, 71%, 45%, 32%, 27%, and 22% respectively. Multivariate analysis adjusted by region identified gross tumor volume (GTV) (odds ratio [OR] ≥100 cm(3): 2.61; 95% CI: 1.10-6.20; P=.029) and pulmonary function (forced expiratory volume in 1 second [FEV1], defined as the ratio of FEV1 to forced vital capacity [FVC]) (OR <80%: 2.53; 95% CI: 1.09-5.88; P=.030) as significant predictors of 180-day survival. RPA resulted in a 2-class risk stratification system: low-risk (GTV <100 cm(3) or GTV ≥100 cm(3) and FEV1 ≥80%) and high-risk (GTV ≥100 cm(3) and FEV1 <80%). The 180-day survival rates were 93% for low risk and 79% for high risk, with an OR of 4.43 (95% CI: 2.07-9.51; P<.001), adjusted by region. A clinical nomogram predictive of 180-day survival, incorporating FEV1, GTV, N stage, and maximum esophagus dose yielded favorable calibration (R(2) = 0.947). CONCLUSIONS This analysis identified several risk factors associated with early mortality and suggests that future research in the optimization of pretreatment pulmonary function and/or functional lung avoidance treatment may alter the therapeutic ratio in this patient population.
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Affiliation(s)
- Andrew Warner
- Department of Radiation Oncology, London Health Sciences Centre, London, Ontario, Canada
| | - Max Dahele
- Department of Radiation Oncology, VU University Medical Center, Amsterdam, The Netherlands
| | - Bo Hu
- Department of Radiation Oncology, London Health Sciences Centre, London, Ontario, Canada
| | - David A Palma
- Department of Radiation Oncology, London Health Sciences Centre, London, Ontario, Canada
| | - Suresh Senan
- Department of Radiation Oncology, VU University Medical Center, Amsterdam, The Netherlands
| | - Cary Oberije
- Department of Radiation Oncology, MAASTRO Clinic, Maastricht, The Netherlands
| | - Kayoko Tsujino
- Department of Radiation Oncology, Hyogo Cancer Center, Akashi, Japan
| | - Marta Moreno-Jimenez
- Department of Oncology, Clínica Universidad, Universidad de Navarra, Pamplona, Spain
| | - Tae Hyun Kim
- Department of Radiation Oncology, National Cancer Center, Goyang-si, Gyeonggi, Korea
| | - Lawrence B Marks
- Department of Radiation Oncology, University of North Carolina Chapel Hill, Chapel Hill, North Carolina
| | - Ramesh Rengan
- Department of Radiation Oncology, University of Washington, Seattle, Washington
| | - Luigi De Petris
- Department of Oncology and Pathology, Karolinska University Hospital, Stockholm, Sweden
| | - Sara Ramella
- Department of Radiation Oncology, Campus Bio-Medico University, Rome, Italy
| | - Kim De Ruyck
- Department of Basic Medical Sciences, Ghent University, Ghent, Belgium
| | - Núria Rodriguez De Dios
- Department of Radiation Oncology, Hospital de la Esperanza, Parc de Salut Mar, Barcelona, Spain
| | - Jeffrey D Bradley
- Department of Radiation Oncology, Washington University School of Medicine, St Louis, Missouri
| | - George Rodrigues
- Department of Radiation Oncology, London Health Sciences Centre, London, Ontario, Canada.
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Dynamic contrast-enhanced perfusion area detector CT for non-small cell lung cancer patients: Influence of mathematical models on early prediction capabilities for treatment response and recurrence after chemoradiotherapy. Eur J Radiol 2015; 85:176-186. [PMID: 26724663 DOI: 10.1016/j.ejrad.2015.11.009] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2015] [Revised: 10/23/2015] [Accepted: 11/04/2015] [Indexed: 11/23/2022]
Abstract
PURPOSE To determine the capability and influence of the mathematical method on dynamic contrast-enhanced (CE-) perfusion area detector CT (ADCT) for early prediction of treatment response as well as progression free and overall survival (PFS and OS) of non-small cell lung cancer (NSCLC) patients treated with chemoradiotherapy. MATERIALS AND METHODS Sixty-six consecutive stage III NSCLC patients underwent dynamic CE-perfusion ADCT examinations, chemoradiotherapy and follow-up examinations. Response Evaluation Criteria in Solid Tumors (RECIST) criteria were used to divide all patients into responders and non-responders. Differences in each of the indices for all targeted lesions between measurements obtained 2 weeks prior to the first and the third course of chemotherapy were determined for all patients. ROC analyses were employed to determine the capability of perfusion indices as markers for distinguishing RECIST responders from non-responders. To evaluate their capability for early prediction of therapeutic effect, OS of perfusion index-based responders and non-responders were compared by using the Kaplan-Meier method followed by log-rank test. RESULTS Area under the curve (Az) for total perfusion by means of the dual-input maximum slope method was significantly larger than that of pulmonary arterial perfusion using the same method (p=0.007) and of perfusion with the single-input maximum slope method (p=0.007). Mean OS demonstrated significantly difference between responder- and non-responder groups for total perfusion (p=0.02). CONCLUSION Mathematical models have significant influence on assessment for early prediction of treatment response, disease progression and overall survival using dynamic CE-perfusion ADCT for NSCLC patients treated with chemoradiotherapy.
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108
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Markovina S, Duan F, Snyder BS, Siegel BA, Machtay M, Bradley JD. Regional Lymph Node Uptake of [(18)F]Fluorodeoxyglucose After Definitive Chemoradiation Therapy Predicts Local-Regional Failure of Locally Advanced Non-Small Cell Lung Cancer: Results of ACRIN 6668/RTOG 0235. Int J Radiat Oncol Biol Phys 2015; 93:597-605. [PMID: 26461002 PMCID: PMC4648358 DOI: 10.1016/j.ijrobp.2015.04.026] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2015] [Revised: 04/10/2015] [Accepted: 04/13/2015] [Indexed: 12/25/2022]
Abstract
PURPOSE The American College of Radiology Imaging Network (ACRIN) 6668/Radiation Therapy Oncology Group (RTOG) 0235 study demonstrated that standardized uptake values (SUV) on post-treatment [(18)F]fluorodeoxyglucose-positron emission tomography (FDG-PET) correlated with survival in locally advanced non-small cell lung cancer (NSCLC). This secondary analysis determined whether SUV of regional lymph nodes (RLNs) on post-treatment FDG-PET correlated with patient outcomes. METHODS AND MATERIALS Included for analysis were patients treated with concurrent chemoradiation therapy, using radiation doses ≥60 Gy, with identifiable FDG-avid RLNs (distinct from primary tumor) on pretreatment FDG-PET, and post-treatment FDG-PET data. ACRIN core laboratory SUV measurements were used. Event time was calculated from the date of post-treatment FDG-PET. Local-regional failure was defined as failure within the treated RT volume and reported by the treating institution. Statistical analyses included Wilcoxon signed rank test, Kaplan-Meier curves (log rank test), and Cox proportional hazards regression modeling. RESULTS Of 234 trial-eligible patients, 139 (59%) had uptake in both primary tumor and RLNs on pretreatment FDG-PET and had SUV data from post-treatment FDG-PET. Maximum SUV was greater for primary tumor than for RLNs before treatment (P<.001) but not different post-treatment (P=.320). Post-treatment SUV of RLNs was not associated with overall survival. However, elevated post-treatment SUV of RLNs, both the absolute value and the percentage of residual activity compared to the pretreatment SUV were associated with inferior local-regional control (P<.001). CONCLUSIONS High residual metabolic activity in RLNs on post-treatment FDG-PET is associated with worse local-regional control. Based on these data, future trials evaluating a radiation therapy boost should consider inclusion of both primary tumor and FDG-avid RLNs in the boost volume to maximize local-regional control.
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Affiliation(s)
- Stephanie Markovina
- Mallinckrodt Institute of Radiology and Alvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri
| | - Fenghai Duan
- Department of Biostatistics and Center for Statistical Sciences, Brown University School of Public Health, Providence, Rhode Island
| | - Bradley S Snyder
- Center for Statistical Sciences, Brown University School of Public Health, Providence, Rhode Island
| | - Barry A Siegel
- Mallinckrodt Institute of Radiology and Alvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri
| | - Mitchell Machtay
- Department of Radiation Oncology, Case Western Reserve University, Cleveland, Ohio
| | - Jeffrey D Bradley
- Mallinckrodt Institute of Radiology and Alvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri.
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109
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Early assessment of metabolic response by 18F-FDG PET during concomitant radiochemotherapy of non-small cell lung carcinoma is associated with survival: a retrospective single-center study. Clin Nucl Med 2015; 40:e215-21. [PMID: 25546211 DOI: 10.1097/rlu.0000000000000615] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND AND PURPOSE We performed a retrospective single-center study to assess if midtreatment 18F-FDG PET/CT could predict local control and survival in patients with locally advanced non-small cell lung cancer treated with concurrent chemoradiotherapy. METHODS Thirty-one consecutive patients with unresectable or locally advanced lung cancer (T2-4 N0-3 M0) were treated with concurrent chemoradiotherapy in our center. Each patient received 18F-FDG PET/CT before treatment and at midtreatment time when a radiation therapy dose of 30 Gy was delivered. We assessed several PET/CT parameters as follows: SUV max, ΔSUV mean, ΔSUV max, variation of hypermetabolic tumor volume, and the variation of tumor total lesion glycolysis (ΔTLG). Univariate analysis was performed, and a stepwise procedure was used to define final multivariate model. RESULTS The ΔTLG was statistically correlated to overall survival (OS) (P = 0.035), progression-free survival (P = 0.023), and local control (P = 0.043) in univariate analysis. A decrease in TLG over 15% was statistically correlated to a better OS (P = 0.007; hazards ratio [HR], 7.439; 95% confidence interval [CI], 1.168-28.897) and progression-free survival (P = 0.010; HR, 5.695; 95% CI, 1.506-21.537) in univariate analysis. In multivariate analysis, ΔTLG superior to -15% was significantly correlated to a worse OS (P = 0.020; HR, 5.973; 95% CI, 1.324-26.953). CONCLUSIONS Early assessment of TLG response by 18F-FDG PET/CT during concomitant radiochemotherapy of non-small cell lung cancer might be associated with survival.
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Necchi A, Nicolai N, Alessi A, Miceli R, Giannatempo P, Raggi D, Tana S, Serafini G, Padovano B, Mariani L, Crippa F, Salvioni R. Interim (18)F-Fluorodeoxyglucose Positron Emission Tomography for Early Metabolic Assessment of Response to Cisplatin, Etoposide, and Bleomycin Chemotherapy for Metastatic Seminoma: Clinical Value and Future Directions. Clin Genitourin Cancer 2015; 14:249-54. [PMID: 26433626 DOI: 10.1016/j.clgc.2015.08.010] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2015] [Revised: 08/19/2015] [Accepted: 08/24/2015] [Indexed: 11/26/2022]
Abstract
BACKGROUND In patients with metastatic seminoma, designing a risk-adapted strategy that may help personalize the burden of treatment and follow-up is required. PATIENTS AND METHODS Patients who were administered cisplatin, etoposide, and bleomycin (PEB) were staged at baseline with computed tomography (CT), positron emission tomography (PET), and serum tumor markers. Restaging was then performed with PET after 2 cycles of PEB (PET2) and with CT after 3 to 4 cycles of treatment. The 20% cutoff of maximal standardized uptake value (SUVmax) changes and Response Evaluation Criteria in Solid Tumors (RECIST, version 1.1) criteria were applied to define the response. The Wilcoxon rank sum test was used to analyze the association between metabolic response and the shrinkage of target lesions. RESULTS Between February 2009 and November 2013, 37 patients were enrolled. After 2 cycles of PEB, 27 patients (72.9%; 95% confidence interval [CI], 55.8-86.2) had a metabolic complete response (CR) and 10 patients had a partial response (PR; 27%; 95% CI, 13.8-44.1). A significant association was found between PET2 response and baseline (P = .003), final diameter (P < .001), and percentage of tumor shrinkage (P = .014) of target lesions. After 18 months' (interquartile range [IQR], 13-23) median follow-up, 2 patients with PET2 PR had relapsed disease; none of those with a CR had relapsed disease. CONCLUSIONS A significant association was found between early metabolic response and tumor shrinkage in patients with advanced seminoma. Patients achieving a PET2 CR could be predicted not to need additional treatment after PEB, and simplifying their follow-up should be an end point. PET2 might also identify difficult to treat cases at an early stage.
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Affiliation(s)
- Andrea Necchi
- Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
| | - Nicola Nicolai
- Department of Surgery-Urology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Alessandra Alessi
- Nuclear Medicine and PET Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Rosalba Miceli
- Clinical Epidemiology and Trials Organization Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Patrizia Giannatempo
- Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Daniele Raggi
- Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Silvia Tana
- Department of Radiotherapy, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Gianluca Serafini
- Nuclear Medicine and PET Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Barbara Padovano
- Nuclear Medicine and PET Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Luigi Mariani
- Clinical Epidemiology and Trials Organization Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Flavio Crippa
- Nuclear Medicine and PET Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Roberto Salvioni
- Department of Surgery-Urology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
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Ozeki N, Kawaguchi K, Fukui, T, Fukumoto K, Nakamura S, Okasaka T, Yokoi K. Which variables should be considered in patients with stage II and III non-small cell lung cancer after neoadjuvant therapy? NAGOYA JOURNAL OF MEDICAL SCIENCE 2015; 77:475-80. [PMID: 26412894 PMCID: PMC4574335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/28/2015] [Accepted: 07/21/2015] [Indexed: 11/28/2022]
Abstract
This study was designed to elucidate the predictive usefulness of the response evaluation criteria in solid tumors (RECIST), a volume response (VR; a > 50% reduction in the tumor volume) and the post-neoadjuvant therapy maximum standardized uptake value (post-SUVmax) in patients with non-small cell lung cancer (NSCLC) after neoadjuvant therapy. Between December 2006 and June 2012, 33 patients with clinical stage II and III NSCLC who underwent pulmonary resection following neoadjuvant therapy were enrolled. The relationships between the variables and a pathological complete response (pCR), the disease-free survival (DFS) and the overall survival (OS) were analyzed. As neoadjuvant therapy, 24 patients received chemoradiotherapy, five patients received chemotherapy and four patients were given radiation therapy. Based on the RECIST, 12 tumors were classified as having a partial response and 21 tumors were classified as stable disease. Twenty-one tumors showed a VR and 12 did not. Twenty-five tumors had a post-SUVmax ≤7.5 and eight had a post-SUVmax >7.5. Eight tumors had a pCR. In the multivariate Cox regression analysis, both a non-VR and a post-SUVmax >7.5 were significant variables predicting the DFS (p = 0.0422 and 0.0127, respectively), but either was not for OS. The post-SUVmax was also a significant variable for the pCR rate (p = 0.0067). The post-treatment SUVmax can be a valid alternative variable that can be used to predict the effect of neoadjuvant therapy and the survival of patients with stage II and III NSCLC.
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Affiliation(s)
- Naoki Ozeki
- Department of Thoracic Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Koji Kawaguchi
- Department of Thoracic Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Takayuki Fukui,
- Department of Thoracic Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Koichi Fukumoto
- Department of Thoracic Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Shota Nakamura
- Department of Thoracic Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Toshiki Okasaka
- Department of Thoracic Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Kohei Yokoi
- Department of Thoracic Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan
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Marquez-Medina D, Martin-Marco A, Popat S. Watch the weathercock: changes in re-staging 18F-FDG PET/CT scan predict the probability of relapse in locally advanced non-small cell lung cancer. Clin Transl Oncol 2015. [PMID: 26203801 DOI: 10.1007/s12094-015-1349-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
INTRODUCTION Induction treatment is be coming the gold standard for locally advanced non-small cell lung cancers (LA-NSCLC). In contrast to baseline positron emission/computed tomography scan (PET/CT scan), re-staging PET/CT scan has been poorly studied in LA-NSCLC. MATERIALS AND METHODS We retrospectively explored the efficacy of re-staging PET/CT scan to diagnose response and to predict disease-free survival (DFS) in 55 induction-treated LA-NSCLC further treated with curative surgery or radiation but not with adjuvant therapy. RESULTS Re-staging N status by PET/CT scan significantly correlated with pathological N status. Radiological or metabolic response in the re-staging PET/CT scan was associated with a significantly better DFS, which decreased from 25.8 to 19.3, to 11.2, and to 9.4 months in cN0, cN1, cN2, and cN3 patients, respectively. CONCLUSION Re-staging PET/CT scan helps to define response and consolidation treatment in induction-treated LA-NSCLC and predicts DFS. Further extended studies should confirm our results.
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Affiliation(s)
- D Marquez-Medina
- Medical Oncology Department, Arnau de Vilanova University Hospital of Lleida, Avda. Rovira Roure, 80, 25198, Lleida, Spain.
| | - A Martin-Marco
- Medical Oncology Department, Arnau de Vilanova University Hospital of Lleida, Avda. Rovira Roure, 80, 25198, Lleida, Spain
| | - S Popat
- Lung Unit, Royal Marsden Hospital, London, UK
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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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Affiliation(s)
- David V Fried
- From the Departments of Radiation Physics (D.V.F., O.M., L.Z., X.F., G.I., L.E.C.), Imaging Physics (O.M.), Biostatistics (S.Z.), and Radiation Oncology (Z.L.), the University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030; and Graduate School of Biomedical Sciences, the University of Texas Health Science Center at Houston, Houston, Tex (D.V.F., X.F., G.I., L.E.C.)
| | - Osama Mawlawi
- From the Departments of Radiation Physics (D.V.F., O.M., L.Z., X.F., G.I., L.E.C.), Imaging Physics (O.M.), Biostatistics (S.Z.), and Radiation Oncology (Z.L.), the University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030; and Graduate School of Biomedical Sciences, the University of Texas Health Science Center at Houston, Houston, Tex (D.V.F., X.F., G.I., L.E.C.)
| | - Lifei Zhang
- From the Departments of Radiation Physics (D.V.F., O.M., L.Z., X.F., G.I., L.E.C.), Imaging Physics (O.M.), Biostatistics (S.Z.), and Radiation Oncology (Z.L.), the University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030; and Graduate School of Biomedical Sciences, the University of Texas Health Science Center at Houston, Houston, Tex (D.V.F., X.F., G.I., L.E.C.)
| | - Xenia Fave
- From the Departments of Radiation Physics (D.V.F., O.M., L.Z., X.F., G.I., L.E.C.), Imaging Physics (O.M.), Biostatistics (S.Z.), and Radiation Oncology (Z.L.), the University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030; and Graduate School of Biomedical Sciences, the University of Texas Health Science Center at Houston, Houston, Tex (D.V.F., X.F., G.I., L.E.C.)
| | - Shouhao Zhou
- From the Departments of Radiation Physics (D.V.F., O.M., L.Z., X.F., G.I., L.E.C.), Imaging Physics (O.M.), Biostatistics (S.Z.), and Radiation Oncology (Z.L.), the University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030; and Graduate School of Biomedical Sciences, the University of Texas Health Science Center at Houston, Houston, Tex (D.V.F., X.F., G.I., L.E.C.)
| | - Geoffrey Ibbott
- From the Departments of Radiation Physics (D.V.F., O.M., L.Z., X.F., G.I., L.E.C.), Imaging Physics (O.M.), Biostatistics (S.Z.), and Radiation Oncology (Z.L.), the University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030; and Graduate School of Biomedical Sciences, the University of Texas Health Science Center at Houston, Houston, Tex (D.V.F., X.F., G.I., L.E.C.)
| | - Zhongxing Liao
- From the Departments of Radiation Physics (D.V.F., O.M., L.Z., X.F., G.I., L.E.C.), Imaging Physics (O.M.), Biostatistics (S.Z.), and Radiation Oncology (Z.L.), the University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030; and Graduate School of Biomedical Sciences, the University of Texas Health Science Center at Houston, Houston, Tex (D.V.F., X.F., G.I., L.E.C.)
| | - Laurence E Court
- From the Departments of Radiation Physics (D.V.F., O.M., L.Z., X.F., G.I., L.E.C.), Imaging Physics (O.M.), Biostatistics (S.Z.), and Radiation Oncology (Z.L.), the University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030; and Graduate School of Biomedical Sciences, the University of Texas Health Science Center at Houston, Houston, Tex (D.V.F., X.F., G.I., L.E.C.)
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Valdivieso M, Corn BW, Dancey JE, Wickerham DL, Horvath LE, Perez EA, Urton A, Cronin WM, Field E, Lackey E, Blanke CD. The Globalization of Cooperative Groups. Semin Oncol 2015; 42:693-712. [PMID: 26433551 DOI: 10.1053/j.seminoncol.2015.07.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
The National Cancer Institute (NCI)-supported adult cooperative oncology research groups (now officially Network groups) have a longstanding history of participating in international collaborations throughout the world. Most frequently, the US-based cooperative groups work reciprocally with the Canadian national adult cancer clinical trial group, NCIC CTG (previously the National Cancer Institute of Canada Clinical Trials Group). Thus, Canada is the largest contributor to cooperative groups based in the United States, and vice versa. Although international collaborations have many benefits, they are most frequently utilized to enhance patient accrual to large phase III trials originating in the United States or Canada. Within the cooperative group setting, adequate attention has not been given to the study of cancers that are unique to countries outside the United States and Canada, such as those frequently associated with infections in Latin America, Asia, and Africa. Global collaborations are limited by a number of barriers, some of which are unique to the countries involved, while others are related to financial support and to US policies that restrict drug distribution outside the United States. This article serves to detail the cooperative group experience in international research and describe how international collaboration in cancer clinical trials is a promising and important area that requires greater consideration in the future.
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Affiliation(s)
- Manuel Valdivieso
- Division of Hematology/Oncology, University of Michigan; and SWOG, Executive Officer, Quality Assurance and International Initiatives, Ann Arbor, MI.
| | - Benjamin W Corn
- Institute of Radiotherapy, Tel Aviv Medical Center, Tel Aviv, Israel; and Department of Radiation Oncology, Jefferson Medical College, Philadelphia, PA
| | - Janet E Dancey
- Director, NCIC Clinical Trials Group; Scientific Director Canadian Cancer Clinical Trials Network; Program Leader, High Impact Clinical Trials, Ontario Institute for Cancer Research; Professor of Oncology, Queen's University, Kingston, Ontario, Canada
| | - D Lawrence Wickerham
- Deputy Chairman, NRG Oncology, Pittsburgh, PA; Department of Human Oncology, Pittsburgh Campus, Drexel University School of Medicine; Allegheny Cancer Center at Allegheny General Hospital, Pittsburgh, PA
| | - L Elise Horvath
- Executive Officer, Alliance for Clinical Trials in Oncology, Chicago, IL
| | - Edith A Perez
- Deputy Director at Large, Mayo Clinic Cancer Center; Group Vice Chair, Alliance for Clinical Trials in Oncology; Hematology/Oncology and Cancer Biology Mayo Clinic, Jacksonville, FL
| | - Alison Urton
- Group Administrator, NCIC Clinical Trials Group, Queen's University, Kingston, Ontario, Canada
| | - Walter M Cronin
- Associate Director, NRG Oncology Statistics and Data Management Center (SDMC); Associate Director, Biostatistics, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA
| | - Erica Field
- Project Specialist III, RTOG, Philadelphia, PA
| | - Evonne Lackey
- Coordinating Center Manager, SWOG Statistical Center, Seattle, WA
| | - Charles D Blanke
- Chair, SWOG; Department of Medicine, Division of Hematology and Medical Oncology, Oregon Health & Science University and Knight Cancer Institute, Portland, OR
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Bradshaw T, Fu R, Bowen S, Zhu J, Forrest L, Jeraj R. Predicting location of recurrence using FDG, FLT, and Cu-ATSM PET in canine sinonasal tumors treated with radiotherapy. Phys Med Biol 2015; 60:5211-24. [PMID: 26083082 PMCID: PMC6415760 DOI: 10.1088/0031-9155/60/13/5211] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Dose painting relies on the ability of functional imaging to identify resistant tumor subvolumes to be targeted for additional boosting. This work assessed the ability of FDG, FLT, and Cu-ATSM PET imaging to predict the locations of residual FDG PET in canine tumors following radiotherapy. Nineteen canines with spontaneous sinonasal tumors underwent PET/CT imaging with radiotracers FDG, FLT, and Cu-ATSM prior to hypofractionated radiotherapy. Therapy consisted of 10 fractions of 4.2 Gy to the sinonasal cavity with or without an integrated boost of 0.8 Gy to the GTV. Patients had an additional FLT PET/CT scan after fraction 2, a Cu-ATSM PET/CT scan after fraction 3, and follow-up FDG PET/CT scans after radiotherapy. Following image registration, simple and multiple linear and logistic voxel regressions were performed to assess how well pre- and mid-treatment PET imaging predicted post-treatment FDG uptake. R(2) and pseudo R(2) were used to assess the goodness of fits. For simple linear regression models, regression coefficients for all pre- and mid-treatment PET images were significantly positive across the population (P < 0.05). However, there was large variability among patients in goodness of fits: R(2) ranged from 0.00 to 0.85, with a median of 0.12. Results for logistic regression models were similar. Multiple linear regression models resulted in better fits (median R(2) = 0.31), but there was still large variability between patients in R(2). The R(2) from regression models for different predictor variables were highly correlated across patients (R ≈ 0.8), indicating tumors that were poorly predicted with one tracer were also poorly predicted by other tracers. In conclusion, the high inter-patient variability in goodness of fits indicates that PET was able to predict locations of residual tumor in some patients, but not others. This suggests not all patients would be good candidates for dose painting based on a single biological target.
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Affiliation(s)
- Tyler Bradshaw
- Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin, Madison, WI 53705-2275, USA
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Abstract
PET imaging has contributed substantially in oncology by allowing improved clinical staging and guiding appropriate cancer management. Integration with radiotherapy planning via PET/computed tomography (CT) simulation enables improved target delineation, which is paramount for conformal radiotherapy techniques. This article reviews the present literature regarding implications of PET/CT for radiotherapy planning and management.
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Affiliation(s)
- Beant S Gill
- Department of Radiation Oncology, University of Pittsburgh Cancer Institute, 5230 Centre Avenue, Pittsburgh, PA 15232, USA
| | - Sarah S Pai
- Department of Radiology, University of Pittsburgh Medical Center, 200 Lothrop Street, Pittsburgh, PA 15213, USA
| | - Stacey McKenzie
- Department of Radiation Oncology, University of Pittsburgh Cancer Institute, 5230 Centre Avenue, Pittsburgh, PA 15232, USA
| | - Sushil Beriwal
- Department of Radiation Oncology, University of Pittsburgh Cancer Institute, 5230 Centre Avenue, Pittsburgh, PA 15232, USA.
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Rohren EM, Etchebehere EC, Araujo JC, Hobbs BP, Swanston NM, Everding M, Moody T, Macapinlac HA. Determination of Skeletal Tumor Burden on 18F-Fluoride PET/CT. J Nucl Med 2015; 56:1507-12. [PMID: 26135112 DOI: 10.2967/jnumed.115.156026] [Citation(s) in RCA: 61] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2015] [Accepted: 06/23/2015] [Indexed: 12/22/2022] Open
Abstract
UNLABELLED The purpose of this study was to define a method to assess skeletal tumor burden with 18F-labeled sodium fluoride PET/CT (18F-fluoride PET/CT) and evaluate the reproducibility of these measurements. METHODS Ninety-eight consecutive patients (90 men; mean age±SD, 65.7±14.2 y) underwent 158 18F-fluoride PET/CT scans for evaluation of skeletal metastatic disease. In order to determine the mean normal bone SUV, initially a 1-cm spheric volume of interest (VOI) was placed over 5 bone sites: T12, L5, sacrum, right iliac bone, and right femur. For each patient, the mean SUVmax for all sites was generated. Afterward, a threshold value of normal bone uptake was established. Subsequently, skeletal tumor burden was determined by generating volumetric data using a whole-body segmentation method. Any SUVmax below the normal threshold was excluded from analysis, as were VOIs not related to metastatic disease. Statistics for the remaining VOIs were then generated and defined as the skeletal metastatic tumor burden by 2 parameters: total lesion fluoride uptake above an SUVmax of 10 (TLF10) and fluoride tumor volume above an SUVmax of 10 (FTV10). TLF10 and FTV10 reproducibility was determined using 2 independent and experienced PET/CT interpreters analyzing a subset of 13 18F-fluoride PET/CT scans. RESULTS Mean (±SD) normal bone SUVmax was 6.62±1.55 for T12, 6.11±1.73 for L5, 4.59±1.74 for sacrum, 5.39±1.72 for right iliac bone, and 3.90±1.57 for right femur. The mean normal SUVmax for all 543 sites was 5.32±0.99. On the basis of these values, an SUVmax threshold of 10 was chosen to exclude normal bone from the volumetric calculations. Semiautomated measurements of TLF10 and FTV10 exhibited high interobserver reproducibility, within ±0.77% and ±3.62% of the interinterpreter average for TLF10 and FTV10, respectively. CONCLUSION Determination of skeletal tumor burden with 18F-fluoride PET/CT is feasible and highly reproducible. Using an SUVmax threshold of 10 excludes nearly all normal bone activity from volumetric calculations.
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Affiliation(s)
- Eric M Rohren
- Department of Nuclear Medicine, University of Texas M.D. Anderson Cancer Center, Houston, Texas
| | - Elba C Etchebehere
- Department of Nuclear Medicine, University of Texas M.D. Anderson Cancer Center, Houston, Texas Division of Nuclear Medicine, University of Campinas (UNICAMP), Campinas, Brazil
| | - John C Araujo
- Department of Genitourinary Medical Oncology, University of Texas M.D. Anderson Cancer Center, Houston, Texas; and
| | - Brian P Hobbs
- Department of Biostatistics, University of Texas M.D. Anderson Cancer Center, Houston, Texas
| | - Nancy M Swanston
- Department of Nuclear Medicine, University of Texas M.D. Anderson Cancer Center, Houston, Texas
| | - Michael Everding
- Department of Nuclear Medicine, University of Texas M.D. Anderson Cancer Center, Houston, Texas
| | - Tracy Moody
- Department of Nuclear Medicine, University of Texas M.D. Anderson Cancer Center, Houston, Texas
| | - Homer A Macapinlac
- Department of Nuclear Medicine, University of Texas M.D. Anderson Cancer Center, Houston, Texas
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Jabbour SK, Kim S, Haider SA, Xu X, Wu A, Surakanti S, Aisner J, Langenfeld J, Yue NJ, Haffty BG, Zou W. Reduction in Tumor Volume by Cone Beam Computed Tomography Predicts Overall Survival in Non-Small Cell Lung Cancer Treated With Chemoradiation Therapy. Int J Radiat Oncol Biol Phys 2015; 92:627-33. [PMID: 26068495 DOI: 10.1016/j.ijrobp.2015.02.017] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2014] [Revised: 01/10/2015] [Accepted: 02/09/2015] [Indexed: 12/25/2022]
Abstract
PURPOSE We sought to evaluate whether tumor response using cone beam computed tomography (CBCT) performed as part of the routine care during chemoradiation therapy (CRT) could forecast the outcome of unresectable, locally advanced, non-small cell lung cancer (NSCLC). METHODS AND MATERIALS We manually delineated primary tumor volumes (TV) of patients with NSCLC who were treated with radical CRT on days 1, 8, 15, 22, 29, 36, and 43 on CBCTs obtained as part of the standard radiation treatment course. Percentage reductions in TV were calculated and then correlated to survival and pattern of recurrence using Cox proportional hazard models. Clinical information including histologic subtype was also considered in the study of such associations. RESULTS We evaluated 38 patients with a median follow-up time of 23.4 months. The median TV reduction was 39.3% (range, 7.3%-69.3%) from day 1 (D1) to day 43 (D43) CBCTs. Overall survival was associated with TV reduction from D1 to D43 (hazard ratio [HR] 0.557, 95% CI 0.39-0.79, P=.0009). For every 10% decrease in TV from D1 to D43, the risk of death decreased by 44.3%. For patients whose TV decreased ≥39.3 or <39.3%, log-rank test demonstrated a separation in survival (P=.02), with median survivals of 31 months versus 10 months, respectively. Neither local recurrence (HR 0.791, 95% CI 0.51-1.23, P=.29), nor distant recurrence (HR 0.78, 95% CI 0.57-1.08, P=.137) correlated with TV decrease from D1 to D43. Histologic subtype showed no impact on our findings. CONCLUSIONS TV reduction as determined by CBCT during CRT as part of routine care predicts post-CRT survival. Such knowledge may justify intensification of RT or application of additional therapies. Assessment of genomic characteristics of these tumors may permit a better understanding of behavior or prediction of therapeutic outcomes.
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Affiliation(s)
- Salma K Jabbour
- Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, Rutgers Robert Wood Johnson Medical School, Rutgers The State University of New Jersey, New Brunswick, New Jersey.
| | - Sinae Kim
- Division of Biometrics, Rutgers Cancer Institute of New Jersey, Rutgers Robert Wood Johnson Medical School, Rutgers The State University of New Jersey, New Brunswick, New Jersey; Department of Biostatistics, School of Public Health, Rutgers University, New Brunswick, New Jersey
| | - Syed A Haider
- Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, Rutgers Robert Wood Johnson Medical School, Rutgers The State University of New Jersey, New Brunswick, New Jersey
| | - Xiaoting Xu
- Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, Rutgers Robert Wood Johnson Medical School, Rutgers The State University of New Jersey, New Brunswick, New Jersey; Department of Radiation Oncology, The First Affiliated Hospital of Soochow University, Soochow, China
| | - Alson Wu
- Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, Rutgers Robert Wood Johnson Medical School, Rutgers The State University of New Jersey, New Brunswick, New Jersey
| | - Sujani Surakanti
- Division of Medical Oncology, Rutgers Cancer Institute of New Jersey, Rutgers Robert Wood Johnson Medical School, Rutgers The State University of New Jersey, New Brunswick, New Jersey
| | - Joseph Aisner
- Division of Medical Oncology, Rutgers Cancer Institute of New Jersey, Rutgers Robert Wood Johnson Medical School, Rutgers The State University of New Jersey, New Brunswick, New Jersey
| | - John Langenfeld
- Division of Surgery, Rutgers Cancer Institute of New Jersey, Rutgers Robert Wood Johnson Medical School, Rutgers The State University of New Jersey, New Brunswick, New Jersey
| | - Ning J Yue
- Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, Rutgers Robert Wood Johnson Medical School, Rutgers The State University of New Jersey, New Brunswick, New Jersey
| | - Bruce G Haffty
- Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, Rutgers Robert Wood Johnson Medical School, Rutgers The State University of New Jersey, New Brunswick, New Jersey
| | - Wei Zou
- Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, Rutgers Robert Wood Johnson Medical School, Rutgers The State University of New Jersey, New Brunswick, New Jersey
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Specht HM, Ahrens N, Blankenstein C, Duell T, Fietkau R, Gaipl US, Günther C, Gunther S, Habl G, Hautmann H, Hautmann M, Huber RM, Molls M, Offner R, Rödel C, Rödel F, Schütz M, Combs SE, Multhoff G. Heat Shock Protein 70 (Hsp70) Peptide Activated Natural Killer (NK) Cells for the Treatment of Patients with Non-Small Cell Lung Cancer (NSCLC) after Radiochemotherapy (RCTx) - From Preclinical Studies to a Clinical Phase II Trial. Front Immunol 2015; 6:162. [PMID: 25926832 PMCID: PMC4397864 DOI: 10.3389/fimmu.2015.00162] [Citation(s) in RCA: 73] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2015] [Accepted: 03/25/2015] [Indexed: 11/23/2022] Open
Abstract
Heat shock protein 70 (Hsp70) is frequently overexpressed in tumor cells. An unusual cell surface localization could be demonstrated on a large variety of solid tumors including lung, colorectal, breast, squamous cell carcinomas of the head and neck, prostate and pancreatic carcinomas, glioblastomas, sarcomas and hematological malignancies, but not on corresponding normal tissues. A membrane (m)Hsp70-positive phenotype can be determined either directly on single cell suspensions of tumor biopsies by flow cytometry using cmHsp70.1 monoclonal antibody or indirectly in the serum of patients using a novel lipHsp70 ELISA. A mHsp70-positive tumor phenotype has been associated with highly aggressive tumors, causing invasion and metastases and resistance to cell death. However, natural killer (NK), but not T cells were found to kill mHsp70-positive tumor cells after activation with a naturally occurring Hsp70 peptide (TKD) plus low dose IL-2 (TKD/IL-2). Safety and tolerability of ex vivo TKD/IL-2 stimulated, autologous NK cells has been demonstrated in patients with metastasized colorectal and non-small cell lung cancer (NSCLC) in a phase I clinical trial. Based on promising clinical results of the previous study, a phase II randomized clinical study was initiated in 2014. The primary objective of this multicenter proof-of-concept trial is to examine whether an adjuvant treatment of NSCLC patients after platinum-based radiochemotherapy (RCTx) with TKD/IL-2 activated, autologous NK cells is clinically effective. As a mHsp70-positive tumor phenotype is associated with poor clinical outcome only mHsp70-positive tumor patients will be recruited into the trial. The primary endpoint of this study will be the comparison of the progression-free survival of patients treated with ex vivo activated NK cells compared to patients who were treated with RCTx alone. As secondary endpoints overall survival, toxicity, quality-of-life, and biological responses will be determined in both study groups.
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Affiliation(s)
- Hanno M Specht
- Radiation Oncology, Klinikum rechts der Isar, Technische Universität München , Munich , Germany
| | - Norbert Ahrens
- Transfusion Medicine, Institute for Clinical Chemistry and Laboratory Medicine, University Hospital Regensburg , Regensburg , Germany
| | - Christiane Blankenstein
- Münchner Studienzentrum (MSZ), Klinikum rechts der Isar, Technische Universität München , Munich , Germany
| | - Thomas Duell
- Thoracic Oncology, Asklepios Lungenfachkliniken , Munich , Germany
| | - Rainer Fietkau
- Radiation Oncology, University Hospital Erlangen , Erlangen , Germany
| | - Udo S Gaipl
- Radiation Oncology, University Hospital Erlangen , Erlangen , Germany
| | | | - Sophie Gunther
- Radiation Oncology, Klinikum rechts der Isar, Technische Universität München , Munich , Germany
| | - Gregor Habl
- Radiation Oncology, Klinikum rechts der Isar, Technische Universität München , Munich , Germany
| | - Hubert Hautmann
- Thoracic Oncology, Klinikum rechts der Isar, Technische Universität München , Munich , Germany
| | - Matthias Hautmann
- Radiation Oncology, University Hospital Regensburg , Regensburg , Germany
| | - Rudolf Maria Huber
- Thoracic Oncology, Department of Medicine, University of Munich , Munich , Germany
| | - Michael Molls
- Radiation Oncology, Klinikum rechts der Isar, Technische Universität München , Munich , Germany
| | - Robert Offner
- Transfusion Medicine, Institute for Clinical Chemistry and Laboratory Medicine, University Hospital Regensburg , Regensburg , Germany
| | - Claus Rödel
- Radiation Oncology, University Hospital Frankfurt , Frankfurt , Germany
| | - Franz Rödel
- Radiation Oncology, University Hospital Frankfurt , Frankfurt , Germany
| | - Martin Schütz
- Thoracic Oncology, Klinikum Bogenhausen , Munich , Germany
| | - Stephanie E Combs
- Radiation Oncology, Klinikum rechts der Isar, Technische Universität München , Munich , Germany
| | - Gabriele Multhoff
- Radiation Oncology, Klinikum rechts der Isar, Technische Universität München , Munich , Germany ; Institute of Biological Molecular Imaging, Helmholtz Zentrum München , Munich , Germany
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Toma-Dasu I, Uhrdin J, Lazzeroni M, Carvalho S, van Elmpt W, Lambin P, Dasu A. Evaluating tumor response of non-small cell lung cancer patients with ¹⁸F-fludeoxyglucose positron emission tomography: potential for treatment individualization. Int J Radiat Oncol Biol Phys 2015; 91:376-84. [PMID: 25636761 DOI: 10.1016/j.ijrobp.2014.10.012] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2014] [Revised: 09/19/2014] [Accepted: 10/07/2014] [Indexed: 10/24/2022]
Abstract
OBJECTIVE To assess early tumor responsiveness and the corresponding effective radiosensitivity for individual patients with non-small cell lung cancer (NSCLC) based on 2 successive (18)F-fludeoxyglucose positron emission tomography (FDG-PET) scans. METHODS AND MATERIALS Twenty-six NSCLC patients treated in Maastricht were included in the study. Fifteen patients underwent sequential chemoradiation therapy, and 11 patients received concomitant chemoradiation therapy. All patients were imaged with FDG before the start and during the second week of radiation therapy. The sequential images were analyzed in relation to the dose delivered until the second image. An operational quantity, effective radiosensitivity, αeff, was determined at the voxel level. Correlations were sought between the average αeff or the fraction of negative αeff values and the overall survival at 2 years. Separate analyses were performed for the primary gross target volume (GTV), the lymph node GTV, and the clinical target volumes (CTVs). RESULTS Patients receiving sequential treatment could be divided into responders and nonresponders, using a threshold for the average αeff of 0.003 Gy(-1) in the primary GTV, with a sensitivity of 75% and a specificity of 100% (P<.0001). Choosing the fraction of negative αeff as a criterion, the threshold 0.3 also had a sensitivity of 75% and a specificity of 100% (P<.0001). Good prognostic potential was maintained for patients receiving concurrent chemotherapy. For lymph node GTV, the correlation had low statistical significance. A cross-validation analysis confirmed the potential of the method. CONCLUSIONS Evaluation of the early response in NSCLC patients showed that it is feasible to determine a threshold value for effective radiosensitivity corresponding to good response. It also showed that a threshold value for the fraction of negative αeff could also be correlated with poor response. The proposed method, therefore, has potential to identify candidates for more aggressive strategies to increase the rate of local control and also avoid exposing to unnecessary aggressive therapies the majority of patients responding to standard treatment.
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Affiliation(s)
- Iuliana Toma-Dasu
- Medical Radiation Physics, Stockholm University and Karolinska Institutet, Stockholm, Sweden.
| | | | - Marta Lazzeroni
- Medical Radiation Physics, Karolinska Institutet, Stockholm, Sweden
| | - Sara Carvalho
- Department of Radiation Oncology, GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Wouter van Elmpt
- Department of Radiation Oncology, GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Philippe Lambin
- Department of Radiation Oncology, GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Alexandru Dasu
- Department of Radiation Physics and Department of Medical and Health Sciences, Linköping University, Linköping, Sweden
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Wang J, Wong KK, Piert M, Stanton P, Frey KA, Kong FM(S. Metabolic response assessment with 18F-FDG PET/CT: inter-method comparison and prognostic significance for patients with non-small cell lung cancer. ACTA ACUST UNITED AC 2015; 4:249-256. [PMID: 26366253 PMCID: PMC4559091 DOI: 10.1007/s13566-015-0184-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2014] [Accepted: 01/29/2015] [Indexed: 11/25/2022]
Abstract
OBJECTIVE This study aimed to (1) compare the agreement of two evaluation methods of metabolic response in patients with non-small cell lung cancer (NSCLC) and determine their prognostic value and (2) explore an optimal cutoff of metabolic reduction to distinguish a more favorable subset of responders. METHODS This is a secondary analysis of prospective studies. Enrolled patients underwent 18F-PET/CT within 2 weeks before, during, and months after radiotherapy (post-RT). Metabolic response was assessed using both Peter MacCallum (PM) method of qualitative visual assessment and University of Michigan (UM) method of semiquantitative measurement. The agreement between two methods determined response, and their prediction of outcome was analyzed. RESULTS Forty-four patients with median follow-up of 25.2 months were analyzed. A moderate agreement was observed between PM- and UM-based response assessment (Kappa coefficient = 0.434), unveiling a significant difference in CMR rate (p = 0.001). Categorical responses derived from either method were significantly predictive of overall survival (OS) and progression-free survival (PFS) (p < 0.0001). Numerical percentage decrease of FDG uptake also showed significant correlations with survival, presenting a hazard ratio of 0.97 for both OS and PFS. A 75 % of SUV decrease was found to be the optimal cutoff to predict OS and 2-year progression. CONCLUSIONS There was a modest discrepancy in metabolic response rates between PM and UM criteria, though both could offer predictive classification for survival. The percentage decrease provides an ordinal value that correlates with prolonged survival, recommending 75 % as the optimal threshold at identifying better responders.
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Affiliation(s)
- Jingbo Wang
- />Department of Radiation Oncology, University of Michigan, Ann Arbor, MI USA
- />Department of Radiation Oncology, Cancer Hospital & Institute, Chinese Academy of Medical Sciences (CAMS) & Peking Union Medical College (PUMC), Beijing, People’s Republic of China
| | - Ka Kit Wong
- />Department of Nuclear Medicine, University of Michigan, Ann Arbor, MI USA
| | - Morand Piert
- />Department of Nuclear Medicine, University of Michigan, Ann Arbor, MI USA
| | - Paul Stanton
- />Department of Radiation Oncology, University of Michigan, Ann Arbor, MI USA
| | - Kirk A Frey
- />Department of Nuclear Medicine, University of Michigan, Ann Arbor, MI USA
| | - Feng-Ming (Spring) Kong
- />Department of Radiation Oncology, University of Michigan, Ann Arbor, MI USA
- />Department of Radiation Oncology, GRU Cancer Center,Medical College of Georgia, Georgia Regents University, 821 St. Sebastian Way, HK 112, Augusta, GA 30912 USA
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Abstract
(18)F-fluorodeoxyglucose-positron emission tomography/computed tomography (FDG-PET/CT) plays a key role in the evaluation of undiagnosed lung nodules, when primary lung cancer is strongly suspected, or when it has already been diagnosed by other techniques. Although technical factors may compromise characterization of small or highly mobile lesions, lesions without apparent FDG uptake can generally be safely observed, whereas FDG-avid lung nodules almost always need further evaluation. FDG-PET/CT is now the primary staging imaging modality for patients with lung cancer who are being considered for curative therapy with either surgery or definitive radiation therapy.
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Ohri N, Duan F, Machtay M, Gorelick JJ, Snyder BS, Alavi A, Siegel BA, Johnson DW, Bradley JD, DeNittis A, Werner-Wasik M. Pretreatment FDG-PET metrics in stage III non-small cell lung cancer: ACRIN 6668/RTOG 0235. J Natl Cancer Inst 2015; 107:djv004. [PMID: 25688115 DOI: 10.1093/jnci/djv004] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND ACRIN 6668/RTOG 0235 evaluated the prognostic value of positron emission tomography with (18)F-fluorodeoxyglucose (FDG-PET) uptake before and after definitive, concurrent, platinum-based chemoradiotherapy for locally advanced non-small cell lung cancer (NSCLC). In this secondary analysis, we evaluate volumetric pretreatment PET measures as predictors of clinical outcomes. METHODS Patients with stage III NSCLC underwent FDG-PET prior to treatment. A commercially available gradient-based segmentation tool was used to contour all visible hypermetabolic lesions on each scan. For each patient, the maximum standardized uptake value (SUVmax), metabolic tumor volume (MTV), and total glycolytic activity (TGA) for all contoured lesions were recorded. Cox proportional hazards regression models were used to evaluate clinical variables and PET metrics as predictors of overall survival (OS) and locoregional control (LRC). Time-dependent covariables were added to the models when necessary to address nonproportional hazards. All statistical tests were two-sided. RESULTS Complete data were available for 214 patients in the OS analysis and 189 subjects in the LRC analysis. In multivariable analysis incorporating clinical and imaging data available prior to treatment, MTV was an independent predictor of OS (HR = 1.04 per 10 cm(3) increase, 95% CI = 1.03 to 1.06, P < .001). High MTV was also associated with increased risk of locoregional failure at baseline (HR = 1.16 per 10 cm(3) increase, 95% CI = 1.08 to 1.23, P < .001) and at six months (HR = 1.05 per 10 cm(3) increase, 95% CI = 1.02 to 1.07, P < .001) but not at 12 months or later time points. CONCLUSION Pretreatment MTV is a predictor of clinical outcomes for NSCLC patients treated with chemoradiotherapy. Quantitative PET measures may serve as stratification factors in clinical trials for this patient population and may help guide novel trial designs.
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Affiliation(s)
- Nitin Ohri
- Department of Radiation Oncology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (NO); Department of Biostatistics and Center for Statistical Sciences, Brown University School of Public Health, Providence, RI (FD, JJG, BSS); Department of Radiation Oncology, University Hospitals Seidman Cancer Center, Case Comprehensive Cancer Center and Case Western Reserve University, Cleveland, OH (MM); Department of Radiology, University of Pennsylvania, Philadelphia, PA (AA); Mallinckrodt Institute of Radiology and the Alvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO (BAS); Baptist Cancer Institute, Jacksonville, FL (DWJ); Department of Radiation Oncology and the Alvin J Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO (JDB); Lankenau Medical Center and Lankenau Institute for Medical Research, Lower Merion, PA (AD); Department of Radiation Oncology, Thomas Jefferson University, Philadelphia, PA (MWW).
| | - Fenghai Duan
- Department of Radiation Oncology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (NO); Department of Biostatistics and Center for Statistical Sciences, Brown University School of Public Health, Providence, RI (FD, JJG, BSS); Department of Radiation Oncology, University Hospitals Seidman Cancer Center, Case Comprehensive Cancer Center and Case Western Reserve University, Cleveland, OH (MM); Department of Radiology, University of Pennsylvania, Philadelphia, PA (AA); Mallinckrodt Institute of Radiology and the Alvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO (BAS); Baptist Cancer Institute, Jacksonville, FL (DWJ); Department of Radiation Oncology and the Alvin J Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO (JDB); Lankenau Medical Center and Lankenau Institute for Medical Research, Lower Merion, PA (AD); Department of Radiation Oncology, Thomas Jefferson University, Philadelphia, PA (MWW)
| | - Mitchell Machtay
- Department of Radiation Oncology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (NO); Department of Biostatistics and Center for Statistical Sciences, Brown University School of Public Health, Providence, RI (FD, JJG, BSS); Department of Radiation Oncology, University Hospitals Seidman Cancer Center, Case Comprehensive Cancer Center and Case Western Reserve University, Cleveland, OH (MM); Department of Radiology, University of Pennsylvania, Philadelphia, PA (AA); Mallinckrodt Institute of Radiology and the Alvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO (BAS); Baptist Cancer Institute, Jacksonville, FL (DWJ); Department of Radiation Oncology and the Alvin J Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO (JDB); Lankenau Medical Center and Lankenau Institute for Medical Research, Lower Merion, PA (AD); Department of Radiation Oncology, Thomas Jefferson University, Philadelphia, PA (MWW)
| | - Jeremy J Gorelick
- Department of Radiation Oncology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (NO); Department of Biostatistics and Center for Statistical Sciences, Brown University School of Public Health, Providence, RI (FD, JJG, BSS); Department of Radiation Oncology, University Hospitals Seidman Cancer Center, Case Comprehensive Cancer Center and Case Western Reserve University, Cleveland, OH (MM); Department of Radiology, University of Pennsylvania, Philadelphia, PA (AA); Mallinckrodt Institute of Radiology and the Alvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO (BAS); Baptist Cancer Institute, Jacksonville, FL (DWJ); Department of Radiation Oncology and the Alvin J Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO (JDB); Lankenau Medical Center and Lankenau Institute for Medical Research, Lower Merion, PA (AD); Department of Radiation Oncology, Thomas Jefferson University, Philadelphia, PA (MWW)
| | - Bradley S Snyder
- Department of Radiation Oncology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (NO); Department of Biostatistics and Center for Statistical Sciences, Brown University School of Public Health, Providence, RI (FD, JJG, BSS); Department of Radiation Oncology, University Hospitals Seidman Cancer Center, Case Comprehensive Cancer Center and Case Western Reserve University, Cleveland, OH (MM); Department of Radiology, University of Pennsylvania, Philadelphia, PA (AA); Mallinckrodt Institute of Radiology and the Alvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO (BAS); Baptist Cancer Institute, Jacksonville, FL (DWJ); Department of Radiation Oncology and the Alvin J Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO (JDB); Lankenau Medical Center and Lankenau Institute for Medical Research, Lower Merion, PA (AD); Department of Radiation Oncology, Thomas Jefferson University, Philadelphia, PA (MWW)
| | - Abass Alavi
- Department of Radiation Oncology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (NO); Department of Biostatistics and Center for Statistical Sciences, Brown University School of Public Health, Providence, RI (FD, JJG, BSS); Department of Radiation Oncology, University Hospitals Seidman Cancer Center, Case Comprehensive Cancer Center and Case Western Reserve University, Cleveland, OH (MM); Department of Radiology, University of Pennsylvania, Philadelphia, PA (AA); Mallinckrodt Institute of Radiology and the Alvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO (BAS); Baptist Cancer Institute, Jacksonville, FL (DWJ); Department of Radiation Oncology and the Alvin J Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO (JDB); Lankenau Medical Center and Lankenau Institute for Medical Research, Lower Merion, PA (AD); Department of Radiation Oncology, Thomas Jefferson University, Philadelphia, PA (MWW)
| | - Barry A Siegel
- Department of Radiation Oncology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (NO); Department of Biostatistics and Center for Statistical Sciences, Brown University School of Public Health, Providence, RI (FD, JJG, BSS); Department of Radiation Oncology, University Hospitals Seidman Cancer Center, Case Comprehensive Cancer Center and Case Western Reserve University, Cleveland, OH (MM); Department of Radiology, University of Pennsylvania, Philadelphia, PA (AA); Mallinckrodt Institute of Radiology and the Alvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO (BAS); Baptist Cancer Institute, Jacksonville, FL (DWJ); Department of Radiation Oncology and the Alvin J Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO (JDB); Lankenau Medical Center and Lankenau Institute for Medical Research, Lower Merion, PA (AD); Department of Radiation Oncology, Thomas Jefferson University, Philadelphia, PA (MWW)
| | - Douglas W Johnson
- Department of Radiation Oncology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (NO); Department of Biostatistics and Center for Statistical Sciences, Brown University School of Public Health, Providence, RI (FD, JJG, BSS); Department of Radiation Oncology, University Hospitals Seidman Cancer Center, Case Comprehensive Cancer Center and Case Western Reserve University, Cleveland, OH (MM); Department of Radiology, University of Pennsylvania, Philadelphia, PA (AA); Mallinckrodt Institute of Radiology and the Alvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO (BAS); Baptist Cancer Institute, Jacksonville, FL (DWJ); Department of Radiation Oncology and the Alvin J Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO (JDB); Lankenau Medical Center and Lankenau Institute for Medical Research, Lower Merion, PA (AD); Department of Radiation Oncology, Thomas Jefferson University, Philadelphia, PA (MWW)
| | - Jeffrey D Bradley
- Department of Radiation Oncology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (NO); Department of Biostatistics and Center for Statistical Sciences, Brown University School of Public Health, Providence, RI (FD, JJG, BSS); Department of Radiation Oncology, University Hospitals Seidman Cancer Center, Case Comprehensive Cancer Center and Case Western Reserve University, Cleveland, OH (MM); Department of Radiology, University of Pennsylvania, Philadelphia, PA (AA); Mallinckrodt Institute of Radiology and the Alvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO (BAS); Baptist Cancer Institute, Jacksonville, FL (DWJ); Department of Radiation Oncology and the Alvin J Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO (JDB); Lankenau Medical Center and Lankenau Institute for Medical Research, Lower Merion, PA (AD); Department of Radiation Oncology, Thomas Jefferson University, Philadelphia, PA (MWW)
| | - Albert DeNittis
- Department of Radiation Oncology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (NO); Department of Biostatistics and Center for Statistical Sciences, Brown University School of Public Health, Providence, RI (FD, JJG, BSS); Department of Radiation Oncology, University Hospitals Seidman Cancer Center, Case Comprehensive Cancer Center and Case Western Reserve University, Cleveland, OH (MM); Department of Radiology, University of Pennsylvania, Philadelphia, PA (AA); Mallinckrodt Institute of Radiology and the Alvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO (BAS); Baptist Cancer Institute, Jacksonville, FL (DWJ); Department of Radiation Oncology and the Alvin J Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO (JDB); Lankenau Medical Center and Lankenau Institute for Medical Research, Lower Merion, PA (AD); Department of Radiation Oncology, Thomas Jefferson University, Philadelphia, PA (MWW)
| | - Maria Werner-Wasik
- Department of Radiation Oncology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (NO); Department of Biostatistics and Center for Statistical Sciences, Brown University School of Public Health, Providence, RI (FD, JJG, BSS); Department of Radiation Oncology, University Hospitals Seidman Cancer Center, Case Comprehensive Cancer Center and Case Western Reserve University, Cleveland, OH (MM); Department of Radiology, University of Pennsylvania, Philadelphia, PA (AA); Mallinckrodt Institute of Radiology and the Alvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO (BAS); Baptist Cancer Institute, Jacksonville, FL (DWJ); Department of Radiation Oncology and the Alvin J Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO (JDB); Lankenau Medical Center and Lankenau Institute for Medical Research, Lower Merion, PA (AD); Department of Radiation Oncology, Thomas Jefferson University, Philadelphia, PA (MWW)
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Harris JP, Chang-Halpenny CN, Maxim PG, Quon A, Graves EE, Diehn M, Loo BW. Outcomes of Modestly Hypofractionated Radiation for Lung Tumors: Pre- and Mid-Treatment Positron Emission Tomography-Computed Tomography Metrics as Prognostic Factors. Clin Lung Cancer 2015; 16:475-85. [PMID: 25770888 DOI: 10.1016/j.cllc.2015.01.007] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2014] [Revised: 01/20/2015] [Accepted: 01/23/2015] [Indexed: 12/25/2022]
Abstract
UNLABELLED Many patients with lung tumors have tumors too large for stereotactic ablative radiotherapy and comorbidities precluding concurrent chemotherapy. We report the outcomes of 29 patients treated with hypofractionated radiotherapy (RT) to 60 to 66 Gy in 3-Gy fractions. We also report an exploratory analysis of the prognostic value of the pre- and mid-RT positron emission tomography-computed tomography. INTRODUCTION Modestly hypofractionated radiation therapy (HypoRT; 60-66 Gy in 3-Gy fractions) allows patients with locally advanced thoracic tumors and poor performance status to complete treatment within a shorter period without concurrent chemotherapy. We evaluated the outcomes and imaging prognostic factors of HypoRT. MATERIALS AND METHODS We retrospectively reviewed the data from all patients with primary and metastatic intrathoracic tumors treated with HypoRT from 2006 to 2012. We analyzed the survival and toxicity outcomes, including overall survival (OS), progression-free survival (PFS), local recurrence (LR), and distant metastasis. We also evaluated the following tumor metrics in an exploratory analysis: gross tumor volume (GTV), maximum standardized uptake value (SUVMax), and metabolic tumor volume using a threshold of ≥ 50% of the SUVMax (MTV50%) or the maximum gradient of fluorine-18 fluorodeoxyglucose uptake (MTVEdge). We assessed the association of these metrics and their changes from before to mid-RT using positron emission tomography-computed tomography (PET-CT) with OS and PFS. RESULTS We identified 29 patients, all with pre-RT and 20 with mid-RT PET-CT scans. The median follow-up period was 15 months. The 2-year overall and non-small-cell lung cancer-only rate for OS, PFS, and LR, was 59% and 59%, 52% and 41%, and 27% and 32%, respectively. No grade ≥ 3 toxicities developed. The median decrease in GTV, SUVMax, and MTVEdge was 11%, 24%, and 18%, respectively. Inferior OS was associated with a larger pre-RT MTVEdge (P = .005) and pre-RT MTV50% (P = .007). Inferior PFS was associated with a larger mid-RT SUVMax (P = .003). CONCLUSION These findings add to the growing body of data demonstrating promising outcomes and limited toxicity with HypoRT. The pre- and mid-RT PET-CT metrics could be useful for prognostic stratification in future clinical trials.
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Affiliation(s)
- Jeremy P Harris
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - Christine N Chang-Halpenny
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA; Department of Radiation Oncology, Kaiser Permanente Los Angeles Medical Center, Los Angeles, CA
| | - Peter G Maxim
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA; Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA
| | - Andrew Quon
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA; Division of Nuclear Medicine, Department of Radiology, Stanford University School of Medicine, Stanford, CA
| | - Edward E Graves
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA; Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA
| | - Maximilian Diehn
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA; Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA; Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA.
| | - Billy W Loo
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA; Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA.
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Image-derived biomarkers and multimodal imaging strategies for lung cancer management. Eur J Nucl Med Mol Imaging 2015; 42:634-43. [DOI: 10.1007/s00259-014-2974-5] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2014] [Accepted: 12/08/2014] [Indexed: 12/14/2022]
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Neal JW, Gainor JF, Shaw AT. Developing biomarker-specific end points in lung cancer clinical trials. Nat Rev Clin Oncol 2014; 12:135-46. [PMID: 25533947 DOI: 10.1038/nrclinonc.2014.222] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
In cancer-drug development, a number of different end points have been used to establish efficacy and support regulatory approval, such as overall survival, progression-free survival (PFS), and radiographic response rate. However, these traditional end points have important limitations. For example, in lung cancer clinical trials, evaluating overall survival end points is a protracted process and these end points are most reliable when crossover to the investigational therapy is not permitted. Furthermore, although radiographic surrogate end points, such as PFS and response rate, generally correlate with clinical benefit in the setting of cytotoxic chemotherapy and molecular targeted therapies, novel immunotherapies might have atypical response kinetics, which confounds radiographic interpretation. In this Review, we discuss the need to develop alternative or surrogate end points for lung cancer clinical trials, and focus on several new biomarkers that could serve as surrogate end points, including functional imaging biomarkers, circulating factors (tumour proteins, DNA, and cells), and pharmacodynamic tumour markers. By enabling the size, duration, and complexity of cancer trials to be reduced, biomarker end points hold the promise to accelerate drug development and improve patient outcomes.
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Affiliation(s)
- Joel W Neal
- Department of Medicine, Division of Oncology, Stanford Cancer Institute and Stanford University School of Medicine, Stanford University, 875 Blake Wilbur Drive, Stanford, CA 94305, USA
| | - Justin F Gainor
- Division of Hematology-Oncology, Massachusetts General Hospital Cancer Center, Massachusetts General Hospital, 32 Fruit Street, Boston, MA 02114, USA
| | - Alice T Shaw
- Division of Hematology-Oncology, Massachusetts General Hospital Cancer Center, Massachusetts General Hospital, 32 Fruit Street, Boston, MA 02114, USA
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Apostolova I, Rogasch J, Buchert R, Wertzel H, Achenbach HJ, Schreiber J, Riedel S, Furth C, Lougovski A, Schramm G, Hofheinz F, Amthauer H, Steffen IG. Quantitative assessment of the asphericity of pretherapeutic FDG uptake as an independent predictor of outcome in NSCLC. BMC Cancer 2014; 14:896. [PMID: 25444154 PMCID: PMC4265451 DOI: 10.1186/1471-2407-14-896] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2014] [Accepted: 11/21/2014] [Indexed: 12/05/2022] Open
Abstract
Background The aim of the present study was to evaluate the predictive value of a novel quantitative measure for the spatial heterogeneity of FDG uptake, the asphericity (ASP) in patients with non-small cell lung cancer (NSCLC). Methods FDG-PET/CT had been performed in 60 patients (15 women, 45 men; median age, 65.5 years) with newly diagnosed NSCLC prior to therapy. The FDG-PET image of the primary tumor was segmented using the ROVER 3D segmentation tool based on thresholding at the volume-reproducing intensity threshold after subtraction of local background. ASP was defined as the relative deviation of the tumor’s shape from a sphere. Univariate and multivariate Cox regression as well as Kaplan-Meier (KM) analysis and log-rank test with respect to overall (OAS) and progression-free survival (PFS) were performed for clinical variables, SUVmax/mean, metabolically active tumor volume (MTV), total lesion glycolysis (TLG), ASP and “solidity”, another measure of shape irregularity. Results ASP, solidity and “primary surgical treatment” were significant independent predictors of PFS in multivariate Cox regression with binarized parameters (HR, 3.66; p < 0.001, HR, 2.11; p = 0.05 and HR, 2.09; p = 0.05), ASP and “primary surgical treatment” of OAS (HR, 3.19; p = 0.02 and HR, 3.78; p = 0.01, respectively). None of the other semi-quantitative PET parameters showed significant predictive value with respect to OAS or PFS. Kaplan-Meier analysis revealed a probability of 2-year PFS of 52% in patients with low ASP compared to 12% in patients with high ASP (p < 0.001). Furthermore, it showed a higher OAS rate in the case of low versus high ASP (1-year-OAS, 91% vs. 67%: p = 0.02). Conclusions The novel parameter asphericity of pretherapeutic FDG uptake seems to provide better prognostic value for PFS and OAS in NCSLC compared to SUV, metabolic tumor volume, total lesion glycolysis and solidity.
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Affiliation(s)
- Ivayla Apostolova
- Clinic of Radiology and Nuclear Medicine, University Hospital, Otto-von-Guericke University Magdeburg, Leipziger Strasse 44, Magdeburg, Germany.
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Abstract
In this review, we review the literature on the use of PET in radiation treatment planning, with an emphasis on describing our institutional methodology (where applicable). This discussion is intended to provide other radiation oncologists with methodological details on the use of PET imaging for treatment planning in radiation oncology, or other oncologists with an introduction to the use of PET in planning radiation therapy.
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Ohri N, Piperdi B, Garg MK, Bodner WR, Gucalp R, Perez-Soler R, Keller SM, Guha C. Pre-treatment FDG-PET predicts the site of in-field progression following concurrent chemoradiotherapy for stage III non-small cell lung cancer. Lung Cancer 2014; 87:23-7. [PMID: 25468149 DOI: 10.1016/j.lungcan.2014.10.016] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2014] [Revised: 10/02/2014] [Accepted: 10/27/2014] [Indexed: 12/28/2022]
Abstract
PURPOSE Locoregional progression following definitive chemoradiotherapy (CRT) for locally advanced non-small cell lung cancer (NSCLC) is common. In this study, we explore the utility of pre-treatment PET for predicting sites of disease progression following CRT. METHODS We identified patients treated at our institution with definitive, concurrent CRT for stage III NSCLC in the years 2007-2010 who underwent staging FDG-PET/CT. Using a semiautomatic gradient-based tool, visible thoracic hypermetabolic lesions were contoured on each patient's pre-treatment PET. Post-treatment imaging was reviewed to identify specific locations of disease progression. Patients' maximum SUV (SUVmax_pat) and metabolic tumor volume (MTV_pat) were evaluated as predictors of clinical outcomes using logrank testing. Competing risks analysis was performed to examine the relationship between lesion (tumor or lymph node) MTV (MTV_les) and the risk of local disease progression. Patient death and progression in other sites were treated as competing risks. RESULTS 28 patients with 82 hypermetabolic lesions (27 pulmonary tumors, 55 lymph nodes) met inclusion criteria. Median follow-up was 39.0 months for living patients. Median progression-free survival (PFS) was 12.4 months, and median overall survival (OS) was 31.8 months. Low MTV_pat was associated with improved PFS (median 14.3 months for MTV<60 cc vs. 9.7 months for MTV>60 cc, p=0.039). MTV_les was strongly associated with the risk of local disease progression. The 2-year cumulative incidence rate (CIR) for progression in lesions larger than 25 cc was 45%, compared to 5% for lesions under 25 cc (p<0.001). CONCLUSION Pre-treatment PET can be used to identify specific lesions at high risk for treatment failure following definitive CRT for locally advanced NSCLC. Selective treatment intensification to high-risk lesions should be studied as a strategy to improve clinical outcomes in this patient population.
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Affiliation(s)
- Nitin Ohri
- Department of Radiation Oncology, Montefiore Medical Center, Albert Einstein College of Medicine, 111 East 210th Street, Bronx, NY 10467, United States.
| | - Bilal Piperdi
- Department of Oncology, Montefiore Medical Center, Albert Einstein College of Medicine, 111 East 210th Street, Bronx, NY 10467, United States.
| | - Madhur K Garg
- Department of Radiation Oncology, Montefiore Medical Center, Albert Einstein College of Medicine, 111 East 210th Street, Bronx, NY 10467, United States.
| | - William R Bodner
- Department of Radiation Oncology, Montefiore Medical Center, Albert Einstein College of Medicine, 111 East 210th Street, Bronx, NY 10467, United States.
| | - Rasim Gucalp
- Department of Oncology, Montefiore Medical Center, Albert Einstein College of Medicine, 111 East 210th Street, Bronx, NY 10467, United States.
| | - Roman Perez-Soler
- Department of Oncology, Montefiore Medical Center, Albert Einstein College of Medicine, 111 East 210th Street, Bronx, NY 10467, United States.
| | - Steven M Keller
- Department of Cardiothoracic Surgery, Montefiore Medical Center, Albert Einstein College of Medicine, 111 East 210th Street, Bronx, NY 10467-2490, United States.
| | - Chandan Guha
- Department of Radiation Oncology, Montefiore Medical Center, Albert Einstein College of Medicine, 111 East 210th Street, Bronx, NY 10467, United States.
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Machtay M, Bradley JD, Curran WJ. Clinical trials in thoracic radiation oncology: as easy as 1, 2, 3. Int J Radiat Oncol Biol Phys 2014; 90:490-2. [PMID: 25304945 DOI: 10.1016/j.ijrobp.2014.05.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2014] [Revised: 05/13/2014] [Accepted: 05/13/2014] [Indexed: 10/24/2022]
Affiliation(s)
- Mitchell Machtay
- University Hospitals Case Medical Center/Case-Western Reserve University, Cleveland, Ohio.
| | | | - Walter J Curran
- Emory Healthcare/Emory University School of medicine, Atlanta, Georgia
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133
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Absence of a relationship between tumor ¹⁸F-fluorodeoxyglucose standardized uptake value and survival in patients treated with definitive radiotherapy for non-small-cell lung cancer. J Thorac Oncol 2014; 9:377-82. [PMID: 24518089 PMCID: PMC4132041 DOI: 10.1097/jto.0000000000000096] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Introduction: A recent meta-analysis suggested that patients with non–small-cell lung cancer (NSCLC) whose primary tumors have a higher standardized uptake value (SUV) derived from 18F-fluorodeoxyglucose positron emission tomography (PET) have a worse prognosis in comparison with those with tumors with lower values. However, previous analyses have had methodological weaknesses. Furthermore, the prognostic significance over the full range of SUV values in patients treated nonsurgically remains unclear. The aim of this retrospective study was to investigate the relationship between survival and maximum SUV (SUVmax) analyzed as a continuous variable, in patients with NSCLC, staged using PET/computed tomography (CT) and treated with radiotherapy with or without chemotherapy. Methods: Eligible patients had a histological diagnosis of NSCLC, were treated with radical radiotherapy with or without chemotherapy as their primary treatment, and had pretreatment PET/CT scans. SUVmax, defined as the maximum pixel SUV value retrieved from the primary tumor, was analyzed primarily as a continuous variable for overall survival. Results: Eighty-eight patients met eligibility criteria: stage I, 19; stage II, 10; and stage III, 59. Median SUVmax was 15.0 (range, 2.5–56). Higher stage was associated with higher SUVmax values (p = 0.048). In univariate analysis, there was no evidence of a prognostic effect of SUVmax (hazard ratio per doubling = 0.83; 95% confidence interval, 0.62–1.11; p = 0.22). Analyzing SUVmax as a dichotomous variable (median cut point = 15.0), the hazard ratio (high: low) for risk of death was 0.71, with p = 0.18 (95% confidence interval, 0.44–1.15). Conclusions: In this cohort of patients, increasing SUVmax derived from 18F-fluorodeoxyglucose–PET/CT was associated with increasing tumor, node, metastasis (TNM) stage. We found no evidence of an association of increasing SUVmax with a shorter survival. Previous reports of an association between prognosis and SUVmax may partly be the result of methodological differences between this study and previous reports and an association between stage and SUVmax.
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Karam SD, Horne ZD, Hong RL, McRae D, Duhamel D, Nasr NM. Hypofractionated stereotactic body radiation therapy for elderly patients with stage IIB-IV nonsmall cell lung cancer who are ineligible for or refuse other treatment modalities. LUNG CANCER-TARGETS AND THERAPY 2014; 5:59-66. [PMID: 28210143 PMCID: PMC5217745 DOI: 10.2147/lctt.s66395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Objective In elderly patients with stage IIB–IV nonsmall cell lung cancer who cannot tolerate chemotherapy, conventionally fractionated radiotherapy is the treatment of choice. We present our experience with hypofractionated stereotactic body radiation therapy (SBRT) in the treatment of this patient population. Methods Thirty-three patients with a median age of 80 years treated with fractionated SBRT were retrospectively analyzed. Most patients were smokers and had preexisting lung disease and either refused treatment or were ineligible. A median prescribed dose of 40 Gy was delivered to the prescription isodose line over a median of five treatments. The majority of patients (70%) did not receive chemotherapy. Results With a median follow-up of 9 months (range: 4–40 months), the actuarial median overall survival (OS) and progression-free survival were 12 months for both. One year actuarial survival outcomes were 75%, 58%, 44%, and 48% for local control, regional control, progression-free survival, and OS, respectively. Increased volume of disease was a statistically significant predictor of worse OS. Three patients developed a grade 1 cough that peaked 3 weeks after treatment and resolved within 1 month. One patient developed grade 1 tracheal mucositis and three patients developed grade 1 pneumonitis. Both resolved 6 weeks after treatment. Three patients died within the first month of treatment, but the cause of death did not appear to be related to the treatment. Conclusion Hypofractionated SBRT is a relatively safe and convenient treatment option for elderly patients with inoperable stage IIB–IV nonsmall cell lung cancer. However, given the small sample size and the heterogeneity of the patient population, larger studies are needed before adopting this treatment option into clinical practice.
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Affiliation(s)
- Sana D Karam
- Department of Radiation Oncology, University of Colorado, Denver, CO, USA
| | | | | | | | - David Duhamel
- Department of Pulmonary/Critical Care Medicine, Virginia Hospital Center, Arlington, VA, USA
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Peng L, Feng L, Yuan H, Benhabbour SR, Mumper RJ. Development of a novel orthotopic non-small cell lung cancer model and therapeutic benefit of 2'-(2-bromohexadecanoyl)-docetaxel conjugate nanoparticles. NANOMEDICINE : NANOTECHNOLOGY, BIOLOGY, AND MEDICINE 2014; 10:1497-506. [PMID: 24709328 PMCID: PMC4185254 DOI: 10.1016/j.nano.2014.03.016] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2013] [Revised: 03/08/2014] [Accepted: 03/27/2014] [Indexed: 11/21/2022]
Abstract
The aims of these studies were to establish an orthotopic non-small-cell lung cancer (NSCLC) mouse model and to investigate the therapeutic efficacy of lipid-based nanoparticles (NPs) containing 2'-(2-bromohexadecanoyl)-docetaxel (Br-C16-DX) in this new model. A novel orthotopic NSCLC model was established in nude mice through a dorsal side injection of luciferase-expressing A549 cells. The model was characterized by a survival study, histological staining, bioluminescence imaging and PET/CT imaging. The therapeutic efficacy of the Br-C16-DX NPs versus Taxotere® was investigated in this model. The results demonstrated that mouse survival time was significantly prolonged by weekly intravenous administration of the NPs or Taxotere. Furthermore, the NP group had 35 days longer progression-free survival and 27 days longer median survival compared to the Taxotere group. It was concluded that the developed orthotopic NSCLC model represents a feasible, reproducible, and clinically relevant experimental mouse model to test current and potential therapies including nanomedicines. From the clinical editor: This team of authors has developed an orthotopic non-small cell lung cancer model, and demonstrates that it represents a feasible, reproducible, and clinically relevant experimental mouse model to test current and potential therapies including nanomedicines.
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Affiliation(s)
- Lei Peng
- Center for Nanotechnology in Drug Delivery, Division of Molecular Pharmaceutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Lan Feng
- Center for Nanotechnology in Drug Delivery, Division of Molecular Pharmaceutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Hong Yuan
- Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - S Rahima Benhabbour
- Center for Nanotechnology in Drug Delivery, Division of Molecular Pharmaceutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Russell J Mumper
- Center for Nanotechnology in Drug Delivery, Division of Molecular Pharmaceutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; UNC Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
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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: 5.5] [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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138
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Fried DV, Tucker SL, Zhou S, Liao Z, Mawlawi O, Ibbott G, Court LE. Prognostic value and reproducibility of pretreatment CT texture features in stage III non-small cell lung cancer. Int J Radiat Oncol Biol Phys 2014; 90:834-42. [PMID: 25220716 DOI: 10.1016/j.ijrobp.2014.07.020] [Citation(s) in RCA: 130] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2014] [Revised: 07/14/2014] [Accepted: 07/14/2014] [Indexed: 01/26/2023]
Abstract
PURPOSE To determine whether pretreatment CT texture features can improve patient risk stratification beyond conventional prognostic factors (CPFs) in stage III non-small cell lung cancer (NSCLC). METHODS AND MATERIALS We retrospectively reviewed 91 cases with stage III NSCLC treated with definitive chemoradiation therapy. All patients underwent pretreatment diagnostic contrast enhanced computed tomography (CE-CT) followed by 4-dimensional CT (4D-CT) for treatment simulation. We used the average-CT and expiratory (T50-CT) images from the 4D-CT along with the CE-CT for texture extraction. Histogram, gradient, co-occurrence, gray tone difference, and filtration-based techniques were used for texture feature extraction. Penalized Cox regression implementing cross-validation was used for covariate selection and modeling. Models incorporating texture features from the 33 image types and CPFs were compared to those with models incorporating CPFs alone for overall survival (OS), local-regional control (LRC), and freedom from distant metastases (FFDM). Predictive Kaplan-Meier curves were generated using leave-one-out cross-validation. Patients were stratified based on whether their predicted outcome was above or below the median. Reproducibility of texture features was evaluated using test-retest scans from independent patients and quantified using concordance correlation coefficients (CCC). We compared models incorporating the reproducibility seen on test-retest scans to our original models and determined the classification reproducibility. RESULTS Models incorporating both texture features and CPFs demonstrated a significant improvement in risk stratification compared to models using CPFs alone for OS (P=.046), LRC (P=.01), and FFDM (P=.005). The average CCCs were 0.89, 0.91, and 0.67 for texture features extracted from the average-CT, T50-CT, and CE-CT, respectively. Incorporating reproducibility within our models yielded 80.4% (±3.7% SD), 78.3% (±4.0% SD), and 78.8% (±3.9% SD) classification reproducibility in terms of OS, LRC, and FFDM, respectively. CONCLUSIONS Pretreatment tumor texture may provide prognostic information beyond that obtained from CPFs. Models incorporating feature reproducibility achieved classification rates of ∼80%. External validation would be required to establish texture as a prognostic factor.
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Affiliation(s)
- David V Fried
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas; Graduate School of Biomedical Sciences, The University of Texas Health Science Center at Houston, Houston, Texas
| | - Susan L Tucker
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Shouhao Zhou
- Division of Quantitative Sciences, Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Zhongxing Liao
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Osama Mawlawi
- Graduate School of Biomedical Sciences, The University of Texas Health Science Center at Houston, Houston, Texas
| | - Geoffrey Ibbott
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas; Graduate School of Biomedical Sciences, The University of Texas Health Science Center at Houston, Houston, Texas
| | - Laurence E Court
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas; Graduate School of Biomedical Sciences, The University of Texas Health Science Center at Houston, Houston, Texas.
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139
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[Metabolic tailoring in radiotherapy for head and neck cancer]. Cancer Radiother 2014; 18:565-71. [PMID: 25179254 DOI: 10.1016/j.canrad.2014.05.011] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2014] [Revised: 05/26/2014] [Accepted: 05/28/2014] [Indexed: 11/22/2022]
Abstract
Radiotherapy based on functional imaging consists to deliver a heterogeneity dose based on biological proprieties. This approach is termed biologically conformal radiotherapy or dose painting with biological target volume inside the gross tumor volume. Diffusion-weighted magnetic resonance imaging (MRI) and dynamic contrast-enhanced MRI can also be used to define a specific biological target volume. Three main tracers are used: ((18)F)-fluorodeoxyglucose to target the hypermetabolism, ((18)F)-fluoromizonidazole and ((18)F)- fluoroazomycin arabinoside to target areas of hypoxia. In this review, we give a practical approach to achieving a treatment-guided radiotherapy molecular and the main issues raised by this imaging technique. Despite the provision of all the technological tools to the radiotherapist, this new therapeutic approach is still evaluated in clinical studies to demonstrate a real clinical benefit compared to radiotherapy based on anatomic imaging.
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140
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Sahiner I, Vural GU. Positron emission tomography/computerized tomography in lung cancer. Quant Imaging Med Surg 2014; 4:195-206. [PMID: 24914421 DOI: 10.3978/j.issn.2223-4292.2014.03.05] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2013] [Accepted: 03/14/2014] [Indexed: 12/25/2022]
Abstract
Positron emission tomography (PET) using 2-(18F)-flouro-2-deoxy-D-glucose (FDG) has emerged as a useful tool in the clinical work-up of lung cancer. This review article provides an overview of applications of PET in diagnosis, staging, treatment response evaluation, radiotherapy planning, recurrence assessment and prognostication of lung cancer.
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Affiliation(s)
- Ilgin Sahiner
- Ankara Oncology Research and Training Hospital, Turkey
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141
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Machtay M, Siegel BA, Duan F, Snyder BS. Reply to J.-S. Ryu et al and A.T. Berman et al. J Clin Oncol 2014; 32:1632-3. [PMID: 24752050 DOI: 10.1200/jco.2013.54.6176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Affiliation(s)
- Mitchell Machtay
- University Hospitals Seidman Cancer Center, Case Comprehensive Cancer Center and Case Western Reserve University, Cleveland, OH
| | - Barry A Siegel
- Mallinckrodt Institute of Radiology and the Siteman Cancer Center, Washington University School of Medicine, St Louis, MO
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Ryu JS, Hyun IY. Prognostic impact of [18F]fluorodeoxyglucose positron emission tomography scanning in the era of molecular oncology. J Clin Oncol 2014; 32:1630. [PMID: 24752045 DOI: 10.1200/jco.2013.53.6300] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Affiliation(s)
- Jeong-Seon Ryu
- College of Medicine, Inha University, Incheon, South Korea
| | - In Young Hyun
- College of Medicine, Inha University, Incheon, South Korea
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143
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Berman AT, Ellenberg SS, Simone CB. Predicting Survival in Non–Small-Cell Lung Cancer Using Positron Emission Tomography: Several Conclusions From Multiple Comparisons. J Clin Oncol 2014; 32:1631-2. [DOI: 10.1200/jco.2013.54.3074] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Affiliation(s)
- Abigail T. Berman
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Susan S. Ellenberg
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Charles B. Simone
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
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144
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Giannatempo P, Alessi A, Miceli R, Raggi D, Farè E, Nicolai N, Serafini G, Padovano B, Piva L, Biasoni D, Torelli T, Catanzaro M, Stagni S, Maffezzini M, Mariani L, Gianni AM, Sonpavde G, Salvioni R, Necchi A, Crippa F. Interim fluorine-18 fluorodeoxyglucose positron emission tomography for early metabolic assessment of therapeutic response to chemotherapy for metastatic transitional cell carcinoma. Clin Genitourin Cancer 2014; 12:433-9. [PMID: 24787972 DOI: 10.1016/j.clgc.2014.03.007] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2014] [Revised: 03/03/2014] [Accepted: 03/11/2014] [Indexed: 10/25/2022]
Abstract
BACKGROUND The prognostic impact of early metabolic response by fluorine-18 fluorodeoxyglucose positron emission tomography (FDG-PET) after 2 cycles of first-line chemotherapy is still unrecognized in metastatic transitional cell carcinoma (TCC). PATIENTS AND METHODS Patients with metastatic TCC receiving the modified combination of methotrexate, vinblastine, doxorubicin, and cisplatin (MVAC), according to institutional protocol, underwent computed tomography (CT) and FDG-PET imaging at baseline, a restaging with PET imaging after 2 cycles only (PET2), and a CT (± FDG-PET) scan at the end of treatment and during follow-up. Progression-free survival (PFS) and overall survival (OS) were estimated with the Kaplan-Meier method; univariate (UVA) and multivariate (MVA) Cox models were fitted. Prespecified variables were the presence of visceral metastases, nodal or soft tissue disease, and early PET response. RESULTS In the period from May 2010 to October 2012, 31 patients with Eastern Cooperative Oncology Group performance status 0 received the modified MVAC regimen every 3 weeks. In all, 6 patients (19.3%) had a complete response (CR) and 17 (54.8%) a partial metabolic response (PR), 4 had stable disease (SD), and 4 progressed. PET2 responders had a median PFS of 8 months (95 % CI, 7-11 mo) compared with 3 months (95 % CI, 2-5 mo) of patients without response (P = .024). They also had a significant benefit in 8-month PFS (P < .001 via Klein test) and 15-month OS (P = .016). PET2 response was significant for PFS in both UVA and MVA Cox models (P = .027 and P = .023, respectively). CONCLUSION PET response after 2 cycles of first-line chemotherapy, compared with detection by early CT, was associated with longer PFS and OS in advanced TCC and warrants further investigation in the field.
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Affiliation(s)
- Patrizia Giannatempo
- Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Alessandra Alessi
- Nuclear Medicine and PET Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Rosalba Miceli
- Clinical Epidemiology and Trials Organization Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Daniele Raggi
- Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Elena Farè
- Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Nicola Nicolai
- Department of Surgery, Urology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Gianluca Serafini
- Nuclear Medicine and PET Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Barbara Padovano
- Nuclear Medicine and PET Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Luigi Piva
- Department of Surgery, Urology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Davide Biasoni
- Department of Surgery, Urology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Tullio Torelli
- Department of Surgery, Urology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Mario Catanzaro
- Department of Surgery, Urology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Silvia Stagni
- Department of Surgery, Urology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Massimo Maffezzini
- Department of Surgery, Urology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Luigi Mariani
- Clinical Epidemiology and Trials Organization Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Alessandro M Gianni
- Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy; University of Milan School of Medicine, Milan, Italy
| | - Guru Sonpavde
- University of Alabama (UAB) Comprehensive Cancer Center, Birmingham, AL
| | - Roberto Salvioni
- Department of Surgery, Urology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Andrea Necchi
- Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
| | - Flavio Crippa
- Nuclear Medicine and PET Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
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145
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Vera P, Mezzani-Saillard S, Edet-Sanson A, Ménard JF, Modzelewski R, Thureau S, Meyer ME, Jalali K, Bardet S, Lerouge D, Houzard C, Mornex F, Olivier P, Faure G, Rousseau C, Mahé MA, Gomez P, Brenot-Rossi I, Salem N, Dubray B. FDG PET during radiochemotherapy is predictive of outcome at 1 year in non-small-cell lung cancer patients: a prospective multicentre study (RTEP2). Eur J Nucl Med Mol Imaging 2014; 41:1057-65. [PMID: 24562641 DOI: 10.1007/s00259-014-2687-9] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2013] [Accepted: 01/02/2014] [Indexed: 10/25/2022]
Abstract
PURPOSE To assess prospectively the prognostic value of FDG PET/CT during curative-intent radiotherapy (RT) with or without concomitant chemotherapy in patients with non-small-cell lung cancer (NSCLC). METHODS Patients with histological proof of invasive localized NSCLC and evaluable tumour, and who were candidates for curative-intent radiochemotherapy (RCT) or RT were preincluded after providing written informed consent. Definitive inclusion was conditional upon significant FDG uptake before RT (PET₁). All included patients had a FDG PET/CT scan during RT (PET₂, mean dose 43 Gy) and were evaluated by FDG PET/CT at 3 months and 1 year after RT. The main endpoint was death (from whatever cause) or tumour progression at 1 year. RESULTS Of 77 patients preincluded, 52 were evaluable. Among the evaluable patients, 77% received RT with induction chemotherapy and 73% RT with concomitant chemotherapy. At 1 year, 40 patients (77 %) had died or had tumour progression. No statistically significant association was found between stage (IIIB vs. other), histology (squamous cell carcinoma vs. other), induction or concomitant chemotherapy, and death/tumour progression at 1 year. The SUVmax in the PET2 scan was the single variable predictive of death or tumour progression at 1 year (odds ratio 1.97, 95% CI 1.25 - 3.09, p = 0.003) in multivariate analysis. The area under the receiver operating characteristic curve was 0.85 (95% CI 0.73 - 0.94, p < 10(-4)). A SUVmax value of 5.3 in the PET₂ scan yielded a sensitivity of 70% and a specificity of 92% for predicting tumour progression or death at 1 year. CONCLUSION This prospective multicentre study demonstrated the prognostic value in terms of disease-free survival of SUVmax assessed during the 5th week of curative-intent RT or RCT in NSCLC patients (NCT01261598; RTEP2 study).
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Affiliation(s)
- Pierre Vera
- Department of Nuclear Medicine, Henri Becquerel Cancer Center, Henri Becquerel Center & QuantIF - Litis [EA (Equipe d'Accueil) 4108] & Rouen University Hospital, Rouen, France,
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