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Fan Y, Feigenberg SJ, Simone CB. Current and Future Applications of PET Radiomics in Radiation Oncology. PET Clin 2025; 20:185-193. [PMID: 39915189 PMCID: PMC11922665 DOI: 10.1016/j.cpet.2025.01.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/19/2025]
Abstract
This review delves into the principles of PET imaging and radiomics, emphasizing their importance in detecting, staging, and monitoring various cancers. It highlights the clinical applications of PET radiomics in oncology, showcasing its impact on personalized cancer care. Additionally, the review addresses challenges such as standardizing PET radiomics, integrating multiomics data, and ethical concerns in clinical decision-making. Future directions are also discussed, including broader applications of PET radiomics in clinical trials, artificial intelligence integration for automated analysis, and incorporating multiomics data for a comprehensive understanding of tumor biology.
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Affiliation(s)
- Yong Fan
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, 3700 Hamilton Walk, Philadelphia, PA 19104-6116, USA.
| | - Steven J Feigenberg
- Department of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Boulevard, 2 West, Philadelphia, PA 19104, USA
| | - Charles B Simone
- New York Proton Center; Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA
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McMillan MT, Feigenberg SJ, Simone CB. Current Approaches to Radiation Oncology Target Volume Delineation Using PET/Computed Tomography. PET Clin 2025; 20:175-183. [PMID: 39909781 DOI: 10.1016/j.cpet.2025.01.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2025]
Abstract
PET is a versatile imaging modality widely used in oncology for diagnosing, staging, predicting outcomes, and surveillance for a variety of cancers. In radiation oncology, combining PET and computed tomography imaging can markedly enhance treatment planning through improved target volume delineation. This review examines data and clinical approaches across 3 major cancer types to evaluate the role of PET in target volume delineation, with data and current approaches for thoracic, genitourinary, and head and neck malignancies detailed. Additionally, it emphasizes various practical applications of PET in radiation therapy planning, several of which have been recently demonstrated in clinical trials.
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Affiliation(s)
- Matthew T McMillan
- Department of Radiation Oncology, Memorial Sloan-Kettering Cancer Center, New York, USA
| | - Steven J Feigenberg
- Department of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Charles B Simone
- Department of Radiation Oncology, Memorial Sloan-Kettering Cancer Center, New York, USA; New York Proton Center, 225 East 126th Street, New York, NY 10035, USA.
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Kata R, Gharavi D, Patil S, Patel D, Parikh C, Werner T, Simone CB, Alavi A. Novel PET-CT-MR Imaging Based Quantitative Technique for Accurate Assessment of Radiation Induced Injuries. PET Clin 2025; 20:253-264. [PMID: 39915187 DOI: 10.1016/j.cpet.2025.01.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/21/2025]
Abstract
Radiation-induced injuries (RIIs) are significant complications of radiation therapy used in cancer treatments and affect organs in a systemic fashion such as the heart, lungs, liver, and bone marrow. Such ionizing radiation leads to inflammation, fibrosis, and/or irreparable DNA damage, each of which can significantly impact patient's quality of life, underscoring the need for advanced diagnostic and imaging techniques. A novel combination of PET/Computed Tomography (CT) with Quantitative MR Imaging has emerged as a crucial tool for early diagnosis and timely evaluation of RIIs. This review focuses on the important role of quantitative PET-CT-MR imaging in diagnosing and monitoring RIIs.
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Affiliation(s)
- Rithvik Kata
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA; Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA
| | - Daniel Gharavi
- Department of Radiology, Hospital of the University of Pennsylvania, PA, USA; Virginia Commonwealth University, Richmond, VA, USA
| | - Shiv Patil
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA; Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA
| | - Dev Patel
- Department of Radiology, Hospital of the University of Pennsylvania, PA, USA; Sidney Kimmel Medical College, Philadelphia, PA, USA
| | - Chitra Parikh
- Department of Radiology, Hospital of the University of Pennsylvania, PA, USA; Sidney Kimmel Medical College, Philadelphia, PA, USA
| | - Thomas Werner
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Charles B Simone
- New York Proton Center, 225 East 126th Street, New York, NY 10035, USA; Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, USA.
| | - Abass Alavi
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
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Grambozov B, Kalantari F, Beheshti M, Stana M, Karner J, Ruznic E, Zellinger B, Sedlmayer F, Rinnerthaler G, Zehentmayr F. Pretreatment 18-FDG-PET/CT parameters can serve as prognostic imaging biomarkers in recurrent NSCLC patients treated with reirradiation-chemoimmunotherapy. Radiother Oncol 2023; 185:109728. [PMID: 37301259 DOI: 10.1016/j.radonc.2023.109728] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 05/02/2023] [Accepted: 05/23/2023] [Indexed: 06/12/2023]
Abstract
BACKGROUND AND PURPOSE Our study aimed to assess whether quantitative pretreatment 18F-FDG-PET/CT parameters could predict prognostic clinical outcome of recurrent NSCLC patients who may benefit from ablative reirradiation. MATERIALS AND METHODS Forty-eight patients with recurrent NSCLC of all UICC stages who underwent ablative thoracic reirradiation were analyzed. Twenty-nine (60%) patients received immunotherapy with or without chemotherapy in addition to reirradiation. Twelve patients (25%) received reirradiation only and seven (15%) received chemotherapy and reirradiation. Pretreatment 18-FDG-PET/CT was mandatory in initial diagnosis and recurrence, based on which volumetric and intensity quantitative parameters were measured before reirradiation and their impact on overall survival, progression-free survival, and locoregional control was assessed. RESULTS With a median follow-up time of 16.7 months, the median OS was 21.8 months (95%-CI: 16.2-27.3). On multivariate analysis, OS and PFS were significantly influenced by MTV (p < 0.001 for OS; p = 0.006 for PFS), TLG (p < 0.001 for OS; p = 0.001 for PFS) and SUL peak (p = 0.0024 for OS; p = 0.02 for PFS) of the tumor and MTV (p = 0.004 for OS; p < 0.001 for PFS) as well as TLG (p = 0.007 for OS; p = 0.015 for PFS) of the metastatic lymph nodes. SUL peak of the tumor (p = 0.05) and the MTV of the lymph nodes (p = 0.003) were only PET quantitative parameters that significantly impacted LRC. CONCLUSION Pretreatment tumor and metastastic lymph node MTV, TLG and tumor SUL peak significantly correlated with clinical outcome in recurrent NSCLC patients treated with reirradiation-chemoimmunotherapy.
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Affiliation(s)
- Brane Grambozov
- Department of Radiation Oncology, Paracelsus Medical University, SALK, Salzburg, Austria.
| | - Forough Kalantari
- Department of Nuclear Medicine, Rasoul Akram Hospital, Iran University of Medical Sciences, Tehran, Iran; Division of Molecular Imaging and Theranostics, Department of Nuclear Medicine, University Hospital Salzburg, Paracelsus Medical University, Salzburg, Austria
| | - Mohsen Beheshti
- Division of Molecular Imaging and Theranostics, Department of Nuclear Medicine, University Hospital Salzburg, Paracelsus Medical University, Salzburg, Austria
| | - Markus Stana
- Department of Radiation Oncology, Paracelsus Medical University, SALK, Salzburg, Austria
| | - Josef Karner
- Department of Radiation Oncology, Paracelsus Medical University, SALK, Salzburg, Austria
| | - Elvis Ruznic
- Department of Radiation Oncology, Paracelsus Medical University, SALK, Salzburg, Austria
| | - Barbara Zellinger
- Institute of Pathology, Paracelsus Medical University, SALK, Salzburg, Austria
| | - Felix Sedlmayer
- Department of Radiation Oncology, Paracelsus Medical University, SALK, Salzburg, Austria; radART - Institute for Research and Development on Advanced Radiation Technologies, Paracelsus Medical University, Salzburg, Austria
| | - Gabriel Rinnerthaler
- Department of Internal Medicine III with Haematology, Medical Oncology, Haemostaseology, Infectiology and Rheumatology, Oncologic Center, Salzburg Cancer Research Institute-Laboratory for Immunological and Molecular Cancer Research (SCRI-LIMCR), Paracelsus Medical University Salzburg, 5020 Salzburg, Austria; Cancer Cluster Salzburg, 5020 Salzburg, Austria
| | - Franz Zehentmayr
- Department of Radiation Oncology, Paracelsus Medical University, SALK, Salzburg, Austria; radART - Institute for Research and Development on Advanced Radiation Technologies, Paracelsus Medical University, Salzburg, Austria
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Algranati C, Strigari L. Imaging Strategies in Proton Therapy for Thoracic Tumors: A Mini Review. Front Oncol 2022; 12:833364. [PMID: 35515119 PMCID: PMC9063639 DOI: 10.3389/fonc.2022.833364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2021] [Accepted: 02/09/2022] [Indexed: 11/13/2022] Open
Abstract
Proton beam therapy (PBT) is often more attractive for its high gradient dose distributions than other treatment modalities with external photon beams. However, in thoracic lesions treated particularly with pencil beam scanning (PBS) proton beams, several dosimetric issues are addressed. The PBS approach may lead to large hot or cold spots in dose distributions delivered to the patients, potentially affecting the tumor control and/or increasing normal tissue side effects. This delivery method particularly benefits image-guided approaches. Our paper aims at reviewing imaging strategies and their technological trends for PBT in thoracic lesions. The focus is on the use of imaging strategies in simulation, planning, positioning, adaptation, monitoring, and delivery of treatment and how changes in the anatomy of thoracic tumors are handled with the available tools and devices in PBT. Starting from bibliographic research over the past 5 years, retrieving 174 papers, major key questions, and implemented solutions were identified and discussed; the results aggregated and presented following the methodology of analysis of expert interviews.
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Affiliation(s)
- Carlo Algranati
- Proton Therapy Department, Azienda Provinciale per i Servizi Sanitari (APSS), Trento, Italy
- Dipartimento di Medicina Specialistica, Diagnostica e Sperimentale (DIMES), University of Bologna, Bologna, Italy
| | - Lidia Strigari
- Department of Medical Physics, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
- *Correspondence: Lidia Strigari,
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Ke L, Wu L, Yu J, Meng X. Feasibility of semiquantitative 18F-fluorodeoxyglucose PET/computed tomography in patients with advanced lung cancer for interim treatment evaluation of combining immunotherapy and chemotherapy. Nucl Med Commun 2021; 42:1017-1023. [PMID: 33899782 PMCID: PMC8357040 DOI: 10.1097/mnm.0000000000001428] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Accepted: 03/22/2021] [Indexed: 12/24/2022]
Abstract
OBJECTIVE This study aimed to investigate the prognosis value of 18F-fluorodeoxyglucose PET/computed tomography (18F-FDG PET/CT) in advanced lung cancer patients with immunotherapy combined with chemotherapy. METHODS Fifty-one advanced lung cancer patients were included in this retrospective study, who underwent 18F-FDG PET/CT imaging before four cycles of immunotherapy combined with chemotherapy at our institution between January 2018 and January 2020. The following PET/CT parameters were calculated: standardized uptake value SUVmax, SUVmean, SUVpeak, SUVsd, metabolic tumor volume (MTV), total lesion glycolysis (TLG), MTV25%, MTV42%, MTV50%, MTV75%, global lung glycolysis (GLG), target-to-background ratio (TBR), SUVpeakwb, MTVwb, TLGwb, SUVmeanwb, SUVmaxwb. Logistics regression analyses were used for assessing the association between baseline metabolic parameters and response to treatment. Kaplan-Meier estimator curves and the log-rank test were constructed for survival analyses. RESULTS According to RECIST, nine patients (18%) showed partial response, 25 (49%) had SD, and 17 (33%) had progressive disease. The mean ± SD of SUVmax, SUVpeak, MTV were lower in clinical benefit (CB) group than no-clinical benefit (no-CB) group (all P < 0.05). Median PFS was 3.7 months in no-CB group and 9.9 months in CB group (P < 0.001). Multivariate logistic analysis indicated that SUVmax and histology were independent factors significantly related to the evaluation of therapeutic efficiency. Furthermore, SUVmax is an independent predictor of efficacy in non-small cell lung cancer. CONCLUSION SUVmax can be used to predict interim treatment response of immunotherapy combination with chemotherapy for advanced lung cancer. Moreover, the combination of SUVmax and histology may predict treatment response with acceptable reliability. However, a large prospective multicenter trial is still needed to examine the above finding for lacking limited evidence.
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Affiliation(s)
- Linping Ke
- Department of Clinical Medicine, Weifang Medical University, Weifang
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences
| | - Leilei Wu
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences
- Department of Radiation Oncology, School of Medicine, Shandong University, Jinan, Shandong, China
| | - Jinming Yu
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences
| | - Xue Meng
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences
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Ke L, Wang L, Yu J, Meng X. Prognostic Significance of SUVmax Combined With Lactate Dehydrogenase in Advanced Lung Cancer Patients Treated With Immune Checkpoint Inhibitor Plus Chemotherapy: A Retrospective Study. Front Oncol 2021; 11:652312. [PMID: 34094942 PMCID: PMC8171668 DOI: 10.3389/fonc.2021.652312] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Accepted: 04/14/2021] [Indexed: 01/22/2023] Open
Abstract
Purpose This research aims to investigate the predictive capacity of PET/CT quantitative parameters combined with haematological parameters in advanced lung cancer patients treated with immune checkpoint inhibitor (ICI) plus chemotherapy. Methods A total of 120 patients who underwent 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) were enrolled before therapy. The following parameters were calculated: the maximum, mean, and peak standardized uptake value (SUVmax, SUVmean, and SUVpeak, respectively); total tumour volume (MTV) and total lesion glycolysis (TLG); and whole-body metabolic values (MTVwb, TLGwb, SUVmeanwb, and SUVmaxwb). Lactate dehydrogenase (LDH) levels, absolute neutrophil count, absolute platelet count, albumin levels and derived neutrophil to lymphocyte ratio (dNLR) were also computed. The associations between the variables and therapy outcome (evaluated by iRECIST) were analyzed. Results Based on iRECIST, 32 of 120 patients showed iPD, 43 iSD, 36 iPR and 9 iCR. Multivariate analysis found that SUVmax, MTVwb, LDH and absolute platelet count were associated with treatment response (P =0.015, P =0.005, P <0.001 and P =0.015, respectively). Kaplan-Meier survival analyses showed that SUVmax ≥11.42 and LDH ≥245 U/L were associated with shorter OS (P = 0.001 and P = 0.004, respectively). Multivariate Cox regression revealed that SUVmax and LDH alone were not correlated with survival prognosis (p>0.05), but the combination of SUVmax and LDH was independently associated with OS (P=0.015, P=0.001, respectively). The median survival time (MST) for the low (LDH<245 and SUVmax<11.42), intermediate(LDH<245 or SUVmax<11.42), and high(SUVmax≥11.42 and LDH≥245) groups was 24.10 months (95% CI: 19.43 to 28.77), 17.41 months (95% CI: 15.83 to 18.99), and 13.76 months (95% CI: 12.51 to 15.02), respectively. Conclusion This study identified that SUVmax plus LDH correlated with the survival outcome in patients with advanced lung cancer receiving PD-1/PD-L1 blockade plus chemotherapy.
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Affiliation(s)
- Linping Ke
- Department of Clinical Medicine, Weifang Medical University, Weifang, China.,Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Lu Wang
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.,Department of Radiation Oncology, School of Medicine, Shandong University, Jinan, China
| | - Jinming Yu
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Xue Meng
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
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Menon H, Guo C, Verma V, Simone CB. The Role of Positron Emission Tomography Imaging in Radiotherapy Target Delineation. PET Clin 2020; 15:45-53. [PMID: 31735301 DOI: 10.1016/j.cpet.2019.08.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Positron emission tomography (PET) is an advanced functional imaging modality in oncology care for the diagnosis, staging, prognostication, and surveillance of numerous malignancies. PET can also offer considerable advantages for target volume delineation as part of radiation treatment planning. In this review, data and clinical practice from 6 general oncology disease sites are assessed to descriptively evaluate the role of PET in target volume delineation. Also highlighted are several specific and practical utilities for PET imaging in radiation treatment planning. Publication of several ongoing prospective trials in the future may further expand the utility of PET for target delineation and patient care.
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Affiliation(s)
- Hari Menon
- University of Arizona College of Medicine, 475 N 5th St, Phoenix, AZ 85004, USA
| | - Chunxiao Guo
- Department of Interventional Radiology, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030, USA
| | - Vivek Verma
- Department of Radiation Oncology, Allegheny General Hospital, 320 E North Ave, Pittsburgh, PA 15212, USA
| | - Charles B Simone
- Department of Radiation Oncology, New York Proton Center, 225 East 126th Street, New York, NY 10035, USA.
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Song YQ, Wang N, Qiao Y, He L, Li X, Zhang XF, Yang QK, Wang RZ, He R, Wang CY, Ren YW, Li G, Wang TL. Treatment patterns and survival after 18F-fluorodeoxyglucose positron emission tomography/computed tomography-guided local consolidation therapy for oligometastatic non-small cell lung cancer: a two-center propensity score-matched analysis. J Cancer Res Clin Oncol 2020; 146:1021-1031. [PMID: 31980929 PMCID: PMC7085469 DOI: 10.1007/s00432-020-03134-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Accepted: 01/16/2020] [Indexed: 12/28/2022]
Abstract
Purpose In this retrospective study, we evaluated the treatment patterns and survival after positron emission tomography-computed tomography (PET/CT)-guided local consolidation therapy (LCT) for oligometastatic non-small cell lung cancer (NSCLC). Methods We reviewed the medical records of Chinese patients with oligometastatic stage IV non-small cell lung cancer (≤ 5 metastases) who had undergone PET/CT and were eligible for systemic therapy at two centers between May 2005 and August 2019. Propensity score matching (1:1) was used to reduce selection bias and imbalanced distribution of confounding factors. Results We identified 84 eligible patients and used propensity scores to create well-matched groups of 35 patients who did or did not undergo LCT. Among all patients, the 1-year overall survival (OS) rate was 47.6% and the 2-year OS rate was 22.6%. Relative to the group that did not receive LCT, the LCT group had a significantly higher OS rate (13 months vs. 7 months, p = 0.002). The two groups had similar incidences and classifications of LCT-related side effects. In multivariable analysis, LCT was found to be strongly associated with a favorable OS (hazard ratio: 0.508, 95% confidence interval: 0.311–0.828, p = 0.001). Conclusion We concluded that LCT was significantly associated with improved clinical outcomes among the Chinese patients with oligometastatic NSCLC who were eligible for systemic treatment and could undergo PET/CT evaluation.
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Affiliation(s)
- Ying-Qiu Song
- Department of Radiotherapy, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang, Liaoning China
| | - Nan Wang
- Department of Radiotherapy, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang, Liaoning China
| | - Yun Qiao
- Department of Surgery, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang, Liaoning China
| | - Lei He
- Physical Laboratory in Charge, Department of Radiotherapy Department, Liaoning Cancer Hospital and Institute, Shenyang, Liaoning China
| | - Xia Li
- Department of Radiotherapy, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang, Liaoning China
| | | | - Qian-Kun Yang
- Department of Surgery, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang, Liaoning China
| | - Run-Ze Wang
- Chengdu Medical College, Chengdu, Sichuan China
| | - Rong He
- Department of Cerebral Surgery, Liaoning Cancer Hospital and Institute, Shenyang, Liaoning China
| | - Chen-Yu Wang
- Department of Information Management, Liaoning Cancer Hospital and Institute, Shenyang, Liaoning China
| | - Yang-Wu Ren
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, Liaoning China
| | - Guang Li
- Department of Radiotherapy, The First Hospital of China Medical University, Shenyang, Liaoning China
| | - Tian-Lu Wang
- Department of Radiotherapy, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang, Liaoning China
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Simone CB, Aide N, Alavi A. PET Imaging for Immunotherapy and Radiation Therapy. PET Clin 2020; 15:xiii-xiv. [DOI: 10.1016/j.cpet.2019.10.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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11
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Dreyfuss AD, Jahangiri P, Simone CB, Alavi A. Evolving Role of Novel Quantitative PET Techniques to Detect Radiation-Induced Complications. PET Clin 2019; 15:89-100. [PMID: 31735305 DOI: 10.1016/j.cpet.2019.08.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Radiation-induced normal tissue toxicities vary in terms of pathophysiologic determinants and timing of disease development, and they are influenced by the dose and radiation volume the critical organs receive, and the radiosensitivity of normal tissues and their baseline rate of cell turnover. Radiation-induced lung injury is dose limiting for the treatment of lung and thoracic cancers and can lead to fibrosis and potentially fatal pneumonitis. This article focuses on pulmonary and cardiovascular complications of radiation therapy and discusses how PET-based novel quantitative techniques can be used to detect these events earlier than current imaging modalities or clinical presentation allow.
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Affiliation(s)
- Alexandra D Dreyfuss
- Department of Radiology, Hospital of the University of Pennsylvania, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA
| | - Pegah Jahangiri
- Department of Radiology, Hospital of the University of Pennsylvania, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA
| | - Charles B Simone
- Department of Radiation Oncology, New York Proton Center, 225 East 126th Street, New York, NY 10035, USA.
| | - Abass Alavi
- Department of Radiology, Hospital of the University of Pennsylvania, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA
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Quantification of global lung inflammation using volumetric 18F-FDG PET/CT parameters in locally advanced non-small-cell lung cancer patients treated with concurrent chemoradiotherapy: a comparison of photon and proton radiation therapy. Nucl Med Commun 2019; 40:618-625. [PMID: 31095527 DOI: 10.1097/mnm.0000000000000997] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
INTRODUCTION Radiation pneumonitis is a major dose-limiting complication in thoracic radiation therapy (RT) and presents clinically in the first few months after RT. We evaluated the feasibility of quantifying pulmonary parenchymal glycolysis (PG) as a surrogate of global lung inflammation and radiation-induced pulmonary toxicity using a novel semiautomatic lung segmentation technique in non-small-cell lung cancer (NSCLC) patients and compared PG in patients treated with photon or proton RT. PATIENTS AND METHODS We evaluated 18 consecutive locally advanced NSCLC patients who underwent pretreatment and post-treatment F-FDG PET/CT treated with definitive (median: 66.6 Gy; 1.8 Gy fractions) photon or proton RT between 2010 and 2014. Lung volume segmentation was conducted using 3D Slicer by performing simple thresholding. Pulmonary PG was calculated by summing F-FDG uptake in the whole lung. RESULTS In nine patients treated with photon RT, significant increases in PG in both ipsilateral (mean difference: 1400±510; P=0.02) and contralateral (mean difference: 1200±450; P=0.03) lungs were noted. In nine patients treated with proton therapy, no increase in pulmonary PG was observed in either the ipsilateral (P=0.30) or contralateral lung (P=0.98). CONCLUSION We observed a significant increase in global lung inflammation bilaterally as measured by quantification of PG. However, no significant change in global lung inflammation was noted after proton therapy. Future larger studies are needed to determine whether this difference correlates with lower risks of radiation pneumonitis in NSCLC patients treated with proton therapy.
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Berman AT, Jabbour SK, Vachani A, Robinson C, Choi JI, Mohindra P, Rengan R, Bradley J, Simone CB. Empiric Radiotherapy for Lung Cancer Collaborative Group multi-institutional evidence-based guidelines for the use of empiric stereotactic body radiation therapy for non-small cell lung cancer without pathologic confirmation. Transl Lung Cancer Res 2019; 8:5-14. [PMID: 30788230 PMCID: PMC6351405 DOI: 10.21037/tlcr.2018.12.12] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2018] [Accepted: 12/20/2018] [Indexed: 12/15/2022]
Abstract
The standard of care for managing early stage non-small cell lung cancer (NSCLC) is definitive surgical resection. Stereotactic body radiation therapy (SBRT) has become the standard treatment for patient who are medically inoperable, and it is increasingly being considered as an option in operable patients. With the growing use of screening thoracic CT scans for patients with a history of heavy smoking, as well as improved imaging capabilities, the discovery of small lung nodes has become a common dilemma. As a result, clinicians are increasingly faced with managing lung nodules in patients in whom diagnostic biopsy is not safe or feasible. Herein, we describe the scope of the problem, tools available for predicting the probability that a lung nodule is a malignancy, staging procedures, benefits of pathology-proven and empiric SBRT, considerations of safety based on location of the lesion of concern, and overall efficacy of SBRT.
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Affiliation(s)
- Abigail T. Berman
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA, USA
| | - Salma K. Jabbour
- Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, NJ, USA
| | - Anil Vachani
- Division of Pulmonary, Allergy, and Critical Care, Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Cliff Robinson
- Department of Radiation Oncology, Washington University, St. Louis, MO, USA
| | - J. Isabelle Choi
- Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Pranshu Mohindra
- Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Ramesh Rengan
- Department of Radiation Oncology, University of Washington, Seattle, WA, USA
| | - Jeffrey Bradley
- Department of Radiation Oncology, Washington University, St. Louis, MO, USA
| | - Charles B. Simone
- Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA
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Zou W, Dong L, Kevin Teo BK. Current State of Image Guidance in Radiation Oncology: Implications for PTV Margin Expansion and Adaptive Therapy. Semin Radiat Oncol 2018; 28:238-247. [PMID: 29933883 DOI: 10.1016/j.semradonc.2018.02.008] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Image guidance technology has evolved and seen widespread application in the past several decades. Advancements in the diagnostic imaging field have found new applications in radiation oncology and promoted the development of therapeutic devices with advanced imaging capabilities. A recent example is the development of linear accelerators that offer magnetic resonance imaging for real-time imaging and online adaptive planning. Volumetric imaging, in particular, offers more precise localization of soft tissue targets and critical organs which reduces setup uncertainty and permit the use of smaller setup margins. We present a review of the status of current imaging modalities available for radiation oncology and its impact on target margins and use for adaptive therapy.
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Affiliation(s)
- Wei Zou
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA.
| | - Lei Dong
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - Boon-Keng Kevin Teo
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
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15
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A prospective study of the feasibility of FDG-PET/CT imaging to quantify radiation-induced lung inflammation in locally advanced non-small cell lung cancer patients receiving proton or photon radiotherapy. Eur J Nucl Med Mol Imaging 2018; 46:206-216. [PMID: 30229527 DOI: 10.1007/s00259-018-4154-5] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2018] [Accepted: 08/29/2018] [Indexed: 12/13/2022]
Abstract
PURPOSE This prospective study assessed the feasibility of 18F-2-fluoro-2-deoxy-D-glucose (FDG) positron emission tomography/computed tomography (PET/CT) to quantify radiation-induced lung inflammation in patients with locally advanced non-small cell lung cancer (NSCLC) who received radiotherapy (RT), and compared the differences in inflammation in the ipsilateral and contralateral lungs following proton and photon RT. METHODS Thirty-nine consecutive patients with NSCLC underwent FDG-PET/CT imaging before and after RT on a prospective study. A novel quantitative approach utilized regions of interest placed around the anatomical boundaries of the lung parenchyma and provided lung mean standardized uptake value (SUVmean), global lung glycolysis (GLG), global lung parenchymal glycolysis (GLPG) and total lung volume (LV). To quantify primary tumor metabolic response to RT, an adaptive contrast-oriented thresholding algorithm was applied to measure metabolically active tumor volume (MTV), tumor uncorrected SUVmean, tumor partial volume corrected SUVmean (tumor-PVC-SUVmean), and total lesion glycolysis (TLG). Parameters of FDG-PET/CT scans before and after RT were compared using two-tailed paired t-tests. RESULTS All tumor parameters after either proton or photon RT decreased significantly (p < 0.001). Among the 21 patients treated exclusively with proton RT, no significant increase in PVC-SUVmean or PVC-GLPG was observed in ipsilateral lungs after the PVC parameters of primary tumor were subtracted (p = 0.114 and p = 0.453, respectively). Also, there were no significant increases in SUVmean or GLG of contralateral lungs of patients who received proton RT (p = 0.841, p = 0.241, respectively). In contrast, among the nine patients who received photon RT, there was a statistically significant increase in PVC-GLPG of ipsilateral lung (p < 0.001) and in GLG of contralateral (p = 0.036) lung. In the subset of nine patients who received a combined proton and photon RT, there was a statistically significant increase in PVC-GLPG of ipsilateral lung (p < 0.001). CONCLUSION Our data suggest less induction of inflammatory response in both the ipsilateral and contralateral lungs of patients treated with proton compared to photon or combined proton-photon RT.
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Verma V, Schonewolf CA, Cushman TR, Post CM, Doms A, Berman AT, DeVries M, Katz SI, Simone CB. Impact of Enlarged Nonhypermetabolic Lymph Nodes on Outcomes After Stereotactic Body Radiotherapy for Early-Stage Non-Small-Cell Lung Cancer. Clin Lung Cancer 2018; 19:502-510. [PMID: 30111509 DOI: 10.1016/j.cllc.2018.07.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Revised: 07/04/2018] [Accepted: 07/16/2018] [Indexed: 12/16/2022]
Abstract
BACKGROUND Up to 15% of patients undergoing positron emission tomography (PET)/computed tomography (CT) before stereotactic body radiotherapy (SBRT) harbor occult nodal disease. In the absence of invasive mediastinal staging, the clinical significance of enlarged nonhypermetabolic lymph nodes (LNs) remains unclear. We performed what is to our knowledge the first study to address whether enlarged nonhypermetabolic LNs were associated with higher post-SBRT failure rates. PATIENTS AND METHODS Two academic centers assessed 157 consecutive patients treated with SBRT for cT1-2aN0M0 non-small-cell lung cancer who underwent PET/CT without pathologic nodal staging. The cutoff of an enlarged node was ≥ 1.0 cm, although a 7 mm threshold was also evaluated. Local recurrence-free survival (RFS), regional RFS, distant metastasis-free survival, RFS, and overall survival (OS) were calculated by Kaplan-Meier methodology. Multivariate Cox modeling addressed factors associated with RFS and OS. RESULTS There were 120 patients (76%) with LNs < 1 cm and 37 (24%) with nodes ≥ 1 cm. Most patients had peripheral and/or T1 tumors. Median follow-up was 25.5 months. There were no differences between cohorts in actuarial local RFS, regional RFS, distant metastasis-free survival, RFS, or OS (P > .05 for all). Thirteen percent of patients experienced any nodal relapse, 15% of which occurred in the same station as that of the largest pre-SBRT LN. Stratification by largest LN location in an N1 versus N2 station showed no differences in RFS or OS (P > .05 for both). A 7 mm cutoff also showed no differences in outcomes (P > .05 for all). LN size was not correlated with RFS/OS on multivariable analysis (P > .05 for both). CONCLUSION The presence of enlarged nonhypermetabolic LNs on PET/CT is not associated with increased post-SBRT failure rates.
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Affiliation(s)
- Vivek Verma
- Department of Radiation Oncology, Allegheny General Hospital, Pittsburgh, PA
| | - Caitlin A Schonewolf
- Department of Radiation Oncology, Hospital of the University of Pennsylvania, Philadelphia, PA
| | | | - Carl M Post
- Department of Radiation Oncology, Allegheny General Hospital, Pittsburgh, PA
| | - Alexandra Doms
- Department of Radiation Oncology, Hospital of the University of Pennsylvania, Philadelphia, PA
| | - Abigail T Berman
- Department of Radiation Oncology, Hospital of the University of Pennsylvania, Philadelphia, PA
| | - Matthew DeVries
- Department of Radiology, University of Nebraska Medical Center, Omaha, NE
| | - Sharyn I Katz
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA
| | - Charles B Simone
- Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD.
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17
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Circulating Tumor Cell Assessment in Presumed Early Stage Non-Small Cell Lung Cancer Patients Treated with Stereotactic Body Radiation Therapy: A Prospective Pilot Study. Int J Radiat Oncol Biol Phys 2018; 102:536-542. [PMID: 30244877 DOI: 10.1016/j.ijrobp.2018.06.041] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Revised: 06/12/2018] [Accepted: 06/20/2018] [Indexed: 12/25/2022]
Abstract
PURPOSE In patients treated with stereotactic body radiation therapy (SBRT) for presumed early stage non-small cell lung cancer (NSCLC), detection and monitoring of circulating tumor cells (CTCs) may be useful for assessing treatment response safely and noninvasively. No published reports of CTC trends in this patient population exist to date. METHODS AND MATERIALS Patients with clinically diagnosed stage I NSCLC treated with SBRT were eligible for this institutional review board-approved prospective clinical trial. Peripheral blood samples were assayed for CTCs via a green fluorescent protein-expressing adenoviral probe. CTC positivity was defined as 1.3 green fluorescent protein-positive cells/mL of collected blood. Samples were obtained before (pre-radiation therapy [RT]), during, and after SBRT (post-RT; months 1, 3, 6, 12, 18, and 24). SBRT was delivered in ≤5 fractions (median dose of 50 Gy in 12.5 Gy fractions) to a biological equivalent dose of ≥100 Gy in all cases. RESULTS Forty-eight consecutive patients (T1a [73%], T1b [21%], and T2a [6%]) were enrolled. Median follow-up was 14.2 months. Twenty patients (42%) had a positive CTC level pre-RT, with a median CTC count of 4.2 CTCs per mL (interquartile range [IQR], 2.2-18.7). Of these 20 patients, 17 had evaluable post-RT CTC evaluations showing reduced CTC counts at 1 month (median, 0.2; IQR, 0.1-0.8) and 3 months (median, 0.6; IQR, 0-1.1). Three of these 17 patients experienced disease progression at a median of 19.9 months; all 3 experienced ≥1 positive post-RT CTC test predating clinical progression by a median of 16 months (range, 2-17 months). In contrast, among patients presenting with CTC-detectable disease and for whom all post-RT CTC tests were negative, none experienced recurrence or progression. CONCLUSIONS CTC monitoring after SBRT for presumed early stage NSCLC may give lead-time notice of disease recurrence or progression. Conversely, negative CTC counts after treatment may provide reassurance of disease control. CTC analysis is thus potentially useful in enhancing clinical diagnosis and follow-up in this population.
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Use of PET and Other Functional Imaging to Guide Target Delineation in Radiation Oncology. Semin Radiat Oncol 2018; 28:171-177. [DOI: 10.1016/j.semradonc.2018.02.001] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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19
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Simone CB, Sawant A. Margins and Uncertainties in Radiation Oncology. Semin Radiat Oncol 2018; 28:169-170. [PMID: 29933875 DOI: 10.1016/j.semradonc.2018.03.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Charles B Simone
- Department of Radiation Oncology University of Maryland, School of Medicine Baltimore, MD.
| | - Amit Sawant
- Department of Radiation Oncology University of Maryland, School of Medicine Baltimore, MD
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20
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Choi JI, Simone CB. Breaking the dose ceiling: proton therapy for locally advanced non-small cell lung cancer. J Thorac Dis 2018; 10:130-134. [PMID: 29600039 DOI: 10.21037/jtd.2017.12.79] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Affiliation(s)
- J Isabelle Choi
- California Protons Cancer Therapy Center, San Diego, CA, USA
| | - Charles B Simone
- Department of Radiation Oncology, University of Maryland Medical Center, Baltimore, MD, USA
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21
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Outcomes of invasive mediastinal nodal staging versus positron emission tomography staging alone for early-stage non-small cell lung cancer treated with stereotactic body radiation therapy. Lung Cancer 2018; 117:53-59. [DOI: 10.1016/j.lungcan.2017.07.005] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2017] [Revised: 07/04/2017] [Accepted: 07/05/2017] [Indexed: 12/11/2022]
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22
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Salavati A, Duan F, Snyder BS, Wei B, Houshmand S, Khiewvan B, Opanowski A, Simone CB, Siegel BA, Machtay M, Alavi A. Optimal FDG PET/CT volumetric parameters for risk stratification in patients with locally advanced non-small cell lung cancer: results from the ACRIN 6668/RTOG 0235 trial. Eur J Nucl Med Mol Imaging 2017; 44:1969-1983. [PMID: 28689281 DOI: 10.1007/s00259-017-3753-x] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2017] [Accepted: 06/05/2017] [Indexed: 10/19/2022]
Abstract
PURPOSE In recent years, multiple studies have demonstrated the value of volumetric FDG-PET/CT parameters as independent prognostic factors in patients with non-small cell lung cancer (NSCLC). We aimed to determine the optimal cut-off points of pretreatment volumetric FDG-PET/CT parameters in predicting overall survival (OS) in patients with locally advanced NSCLC and to recommend imaging biomarkers appropriate for routine clinical applications. METHODS Patients with inoperable stage IIB/III NSCLC enrolled in ACRIN 6668/RTOG 0235 were included. Pretreatment FDG-PET scans were quantified using semiautomatic adaptive contrast-oriented thresholding and local-background partial-volume-effect-correction algorithms. For each patient, the following indices were measured: metabolic tumor volume (MTV), total lesion glycolysis (TLG), SUVmax, SUVmean, partial-volume-corrected TLG (pvcTLG), and pvcSUVmean for the whole-body, primary tumor, and regional lymph nodes. The association between each index and patient outcome was assessed using Cox proportional hazards regression. Optimal cut-off points were estimated using recursive binary partitioning in a conditional inference framework and used in Kaplan-Meier curves with log-rank testing. The discriminatory ability of each index was examined using time-dependent receiver operating characteristic (ROC) curves and corresponding area under the curve (AUC(t)). RESULTS The study included 196 patients. Pretreatment whole-body and primary tumor MTV, TLG, and pvcTLG were independently prognostic of OS. Optimal cut-off points were 175.0, 270.9, and 35.5 cm3 for whole-body TLG, pvcTLG, and MTV, and were 168.2, 239.8, and 17.4 cm3 for primary tumor TLG, pvcTLG, and MTV, respectively. In time-dependent ROC analysis, AUC(t) for MTV and TLG were uniformly higher than that of SUV measures over all time points. Primary tumor and whole-body parameters demonstrated similar patterns of separation for those patients above versus below the optimal cut-off points in Kaplan-Meier curves and in time-dependent ROC analysis. CONCLUSION We demonstrated that pretreatment whole-body and primary tumor volumetric FDG-PET/CT parameters, including MTV, TLG, and pvcTLG, are strongly prognostic for OS in patients with locally advanced NSCLC, and have similar discriminatory ability. Therefore, we believe that, after validation in future trials, the derived optimal cut-off points for primary tumor volumetric FDG-PET/CT parameters, or their more refined versions, could be incorporated into routine clinical practice, and may provide more accurate prognostication and staging based on tumor metabolic features.
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Affiliation(s)
- Ali Salavati
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA. .,Department of Radiology, University of Minnesota, Minneapolis, MN, USA.
| | - Fenghai Duan
- Department of Biostatistics and Center for Statistical Sciences, Brown University School of Public Health, Providence, RI, USA
| | - Bradley S Snyder
- Center for Statistical Sciences, Brown University School of Public Health, Providence, RI, USA
| | - Bo Wei
- Department of Biostatistics, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Sina Houshmand
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Benjapa Khiewvan
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.,Division of Nuclear Medicine, Department of Radiology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Adam Opanowski
- American College of Radiology, ACR Center for Research and Innovation, Philadelphia, PA, USA
| | - Charles B Simone
- Department of Radiation Oncology, University of Maryland Medical Center, Baltimore, MD, USA
| | - Barry A Siegel
- Mallinckrodt Institute of Radiology and the Alvin J. Siteman Cancer Center, Washington University School of Medicine, St, Louis, MO, USA
| | - Mitchell Machtay
- Department of Radiation Oncology, Case Western Reserve University and University Hospitals Case Medical Center, Cleveland, OH, USA
| | - Abass Alavi
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.
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Verma V, Shostrom VK, Kumar SS, Zhen W, Hallemeier CL, Braunstein SE, Holland J, Harkenrider MM, S Iskhanian A, Neboori HJ, Jabbour SK, Attia A, Lee P, Alite F, Walker JM, Stahl JM, Wang K, Bingham BS, Hadzitheodorou C, Decker RH, McGarry RC, Simone CB. Multi-institutional experience of stereotactic body radiotherapy for large (≥5 centimeters) non-small cell lung tumors. Cancer 2017; 123:688-696. [PMID: 27741355 PMCID: PMC10905610 DOI: 10.1002/cncr.30375] [Citation(s) in RCA: 69] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2016] [Revised: 08/31/2016] [Accepted: 09/09/2016] [Indexed: 12/13/2022]
Abstract
BACKGROUND Stereotactic body radiotherapy (SBRT) is the standard of care for patients with nonoperative, early-stage non-small cell lung cancer (NSCLC) measuring < 5 cm, but its use among patients with tumors measuring ≥5 cm is considerably less defined, with the existing literature limited to small, single-institution reports. The current multi-institutional study reported outcomes evaluating the largest such population reported to date. METHODS Clinical/treatment characteristics, outcomes, toxicities, and patterns of failure were assessed in patients with primary NSCLC measuring ≥5 cm without evidence of distant/lymph node metastasis who underwent SBRT using ≤5 fractions. Statistics included Kaplan-Meier survival analyses and univariate/multivariate Cox proportional hazards models. RESULTS A total of 92 patients treated from 2004 through 2016 were analyzed from 12 institutions. The median follow-up was 12 months (15 months in survivors). The median age and tumor size among the patients were 73 years (range, 50-95 years) and 5.4 cm (range, 5.0-7.5 cm), respectively. The median dose/fractionation was 50 Gray/5 fractions. The actuarial local control rates at 1 year and 2 years were 95.7% and 73.2%, respectively. The disease-free survival rate was 72.1% and 53.5%, respectively, at 1 year and 2 years. The 1-year and 2-year disease-specific survival rates were 95.5% and 78.6%, respectively. The median, 1-year, and 2-year overall survival rates were 21.4 months, 76.2%, and 46.4%, respectively. On multivariate analysis, lung cancer history and pre-SBRT positron emission tomography maximum standardized uptake value were found to be associated with overall survival. Posttreatment failures were most commonly distant (33% of all disease recurrences), followed by local (26%) and those occurring elsewhere in the lung (23%). Three patients had isolated local failures. Grade 3 to 4 toxicities included 1 case (1%) and 4 cases (4%) of grade 3 dermatitis and radiation pneumonitis, respectively (toxicities were graded according to the Common Terminology Criteria for Adverse Events [version 4.0]). Grades 2 to 5 radiation pneumonitis occurred in 11% of patients. One patient with a tumor measuring 7.5 cm and a smoking history of 150 pack-years died of radiation pneumonitis. CONCLUSIONS The results of the current study, which is the largest study of patients with NSCLC measuring ≥5 cm reported to date, indicate that SBRT is a safe and efficacious option. Cancer 2017;123:688-696. © 2016 American Cancer Society.
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Affiliation(s)
- Vivek Verma
- Department of Radiation Oncology, University of Nebraska Medical Center, Omaha, Nebraska
| | - Valerie K Shostrom
- Department of Biostatistics, College of Public Health, University of Nebraska Medical Center, Omaha, Nebraska
| | - Sameera S Kumar
- Department of Radiation Oncology, University of Kentucky, Lexington, Kentucky
| | - Weining Zhen
- Department of Radiation Oncology, University of Nebraska Medical Center, Omaha, Nebraska
| | | | - Steve E Braunstein
- Department of Radiation Oncology, University of California at San Francisco, San Francisco, California
| | - John Holland
- Department of Radiation Medicine, Oregon Health and Science University, Portland, Oregon
| | - Matthew M Harkenrider
- Department of Radiation Oncology, Loyola University Stritch School of Medicine, Maywood, Illinois
| | - Adrian S Iskhanian
- Department of Radiation Oncology, University of Miami Sylvester Comprehensive Cancer Center, Miami, Florida
| | - Hanmanth J Neboori
- Department of Radiation Oncology, University of Miami Sylvester Comprehensive Cancer Center, Miami, Florida
| | - Salma K Jabbour
- Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, New Jersey
| | - Albert Attia
- Department of Radiation Oncology, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Percy Lee
- Department of Radiation Oncology, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, California
| | - Fiori Alite
- Department of Radiation Oncology, Loyola University Stritch School of Medicine, Maywood, Illinois
| | - Joshua M Walker
- Department of Radiation Medicine, Oregon Health and Science University, Portland, Oregon
| | - John M Stahl
- Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, Connecticut
| | - Kyle Wang
- Department of Radiation Oncology, University of North Carolina School of Medicine, Chapel Hill, North Carolina
| | - Brian S Bingham
- Department of Radiation Oncology, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Christina Hadzitheodorou
- Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, New Jersey
| | - Roy H Decker
- Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, Connecticut
| | - Ronald C McGarry
- Department of Radiation Oncology, University of Kentucky, Lexington, Kentucky
| | - Charles B Simone
- Department of Radiation Oncology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
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