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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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Tang S, Zhang Y, Li Y, Zhang Y, Xu Y, Ding H, Chen Y, Ren P, Ye H, Fu S, Lin S. Predictive value of 18F-FDG PET/CT for evaluating the response to hypofractionated radiotherapy combined with PD-1 blockade in non-small cell lung cancer. Front Immunol 2023; 14:1034416. [PMID: 36860861 PMCID: PMC9969129 DOI: 10.3389/fimmu.2023.1034416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Accepted: 01/25/2023] [Indexed: 02/15/2023] Open
Abstract
Purpose This retrospective study aimed to investigate 18F-fluorodeoxyglucose (18F-FDG)-positron emission tomography/computed tomography (PET/CT) as a predictor of response to hypofractionated radiotherapy (HFRT) combined with programmed cell death-1 (PD-1) blockade for lung cancer. Methods We included 41 patients with advanced non-small cell lung cancer (NSCLC) in this study. PET/CT was performed before (SCAN-0) and one month (SCAN-1), three months (SCAN-2), and six months (SCAN-3) after treatment. Using the European Organization for Research and Treatment of Cancer 1999 criteria and PET response criteria in solid tumors, treatment responses were classified as complete metabolic response (CMR), partial metabolic response (PMR), stable metabolic disease (SMD), or progressive metabolic disease (PMD). Patients were further categorized as those with metabolic benefits (MB; SMD, PMR, and CMR) and those without MBs (NO-MB; PMD). We analyzed the prognosis and overall survival (OS) of patients with new visceral/bone lesions during treatment. Based on the findings, we generated a nomogram to predict survival. Receiver operating characteristics and calibration curves were used to evaluate the accuracy of the prediction model. Results The mean OS based on SCANs 1, 2, and 3 was significantly higher in patients with MB and those without new visceral/bone lesions. The prediction nomogram for survival had a high area under the curve and a high predictive value based on the receiver operating characteristics and calibration curves. Conclusion 18FDG-PET/CT has the potential to predict the outcomes of HFRT combined with PD-1 blockade in NSCLC. Therefore, we recommend using a nomogram to predict patient survival.
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Affiliation(s)
- Shan Tang
- Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, China.,Department of Oncology, The First People's Hospital of Guangyuan, Guangyuan, China
| | - Yan Zhang
- Department of Oncology, The People's Hospital of Luzhou, Luzhou, China
| | - Yunfei Li
- Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Yan Zhang
- Department of Nuclear Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Yuke Xu
- Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Haoyuan Ding
- Department of Nuclear Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Yue Chen
- Department of Nuclear Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Peirong Ren
- Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Hua Ye
- Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Shaozhi Fu
- Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Sheng Lin
- Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
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Chiappetta M, Tabacco D, Iaffaldano AG, Evangelista J, Congedo MT, Sassorossi C, Meacci E, D’Argento E, Bria E, Vita E, Tortora G, Boldrini L, Charles-Davies D, Massaccesi M, Martino A, Mazzarella C, Valentini V, Margaritora S, Lococo F. Clinical Stage III NSCLC Patients Treated with Neoadjuvant Therapy and Surgery: The Prognostic Role of Nodal Characteristics. Life (Basel) 2022; 12:life12111753. [PMID: 36362907 PMCID: PMC9692699 DOI: 10.3390/life12111753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Revised: 10/25/2022] [Accepted: 10/29/2022] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND: The aim of this study is to analyze the prognostic factors in patients that underwent induction therapy and surgery for clinical stage III NSCLC. METHODS: Clinical and pathological characteristics of stage III NSCLC patients for N2 involvement that underwent neoadjuvant treatment (NAD) and surgery from 1/01/1998 to 31/12/2017 were collected and retrospectively analyzed. Tumor characteristics, yClinical, yPathological stage and lymph node characteristics were correlated to Overall Survival (OS). RESULTS: The analysis was conducted on 180 patients. Five-year OS (5YOS) was 50.9%. Univariable analysis results revealed old age (p = 0.003), clinical N2 post-NAD (p = 0.01), pneumonectomy (0.005), persistent pathological N2 (p = 0.039, HR 1.9, 95% CI 1.09−2.68) and adjuvant therapy absence (p = 0.049) as significant negative prognostic factors. Multivariable analysis confirmed pN0N1 (p = 0.02, HR 0.29, 95% CI 0.13−0.62) as a favorable independent prognostic factor and adjuvant therapy absence (p = 0.012, HR 2.61, 95% CI 1.23−5.50) as a negative prognostic factor. Patients with persistent N2 presented a 5YOS of 35.3% vs. 55.8% in pN0N1 patients. Regarding lymph node parameters, the lymph node ratio (NR) significantly correlated with OS: 5YOS of 67.6% in patients with NR < 50% vs. 29.5% in NR > 50% (p = 0.029). CONCLUSION: Clinical response aided the stratification of prognosis in patients that underwent multimodal treatment for stage III NSCLC. Adjuvant therapy seemed to be an important option in these patients, while node ratio was a strong prognosticator in patients with persistent nodal involvement.
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Affiliation(s)
- Marco Chiappetta
- Università Cattolica del Sacro Cuore, 00135 Rome, Italy
- Thoracic Surgery, Fondazione Policlinico Universitario A. Gemelli IRCCS, LARGO A. Gemelli 8, 00135 Rome, Italy
| | - Diomira Tabacco
- Università Cattolica del Sacro Cuore, 00135 Rome, Italy
- Thoracic Surgery, Fondazione Policlinico Universitario A. Gemelli IRCCS, LARGO A. Gemelli 8, 00135 Rome, Italy
| | - Amedeo Giuseppe Iaffaldano
- Università Cattolica del Sacro Cuore, 00135 Rome, Italy
- Thoracic Surgery, Fondazione Policlinico Universitario A. Gemelli IRCCS, LARGO A. Gemelli 8, 00135 Rome, Italy
| | - Jessica Evangelista
- Università Cattolica del Sacro Cuore, 00135 Rome, Italy
- Thoracic Surgery, Fondazione Policlinico Universitario A. Gemelli IRCCS, LARGO A. Gemelli 8, 00135 Rome, Italy
| | - Maria Teresa Congedo
- Università Cattolica del Sacro Cuore, 00135 Rome, Italy
- Thoracic Surgery, Fondazione Policlinico Universitario A. Gemelli IRCCS, LARGO A. Gemelli 8, 00135 Rome, Italy
- Correspondence: ; Tel.: +39-3471591586 or +39-06356353
| | - Carolina Sassorossi
- Università Cattolica del Sacro Cuore, 00135 Rome, Italy
- Thoracic Surgery, Fondazione Policlinico Universitario A. Gemelli IRCCS, LARGO A. Gemelli 8, 00135 Rome, Italy
| | - Elisa Meacci
- Università Cattolica del Sacro Cuore, 00135 Rome, Italy
- Thoracic Surgery, Fondazione Policlinico Universitario A. Gemelli IRCCS, LARGO A. Gemelli 8, 00135 Rome, Italy
| | - Ettore D’Argento
- Università Cattolica del Sacro Cuore, 00135 Rome, Italy
- Thoracic Surgery, Fondazione Policlinico Universitario A. Gemelli IRCCS, LARGO A. Gemelli 8, 00135 Rome, Italy
| | - Emilio Bria
- Università Cattolica del Sacro Cuore, 00135 Rome, Italy
- Medical Oncology, Dipartimento di Medicina e Chirurgia Traslazionale, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Emanuele Vita
- Università Cattolica del Sacro Cuore, 00135 Rome, Italy
- Medical Oncology, Dipartimento di Medicina e Chirurgia Traslazionale, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Giampaolo Tortora
- Università Cattolica del Sacro Cuore, 00135 Rome, Italy
- Medical Oncology, Dipartimento di Medicina e Chirurgia Traslazionale, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Luca Boldrini
- Università Cattolica del Sacro Cuore, 00135 Rome, Italy
- Radiotherapy Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, LARGO A. Gemelli 8, 00135 Rome, Italy
| | - Diepriye Charles-Davies
- Università Cattolica del Sacro Cuore, 00135 Rome, Italy
- Radiotherapy Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, LARGO A. Gemelli 8, 00135 Rome, Italy
| | - Mariangela Massaccesi
- Università Cattolica del Sacro Cuore, 00135 Rome, Italy
- Radiotherapy Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, LARGO A. Gemelli 8, 00135 Rome, Italy
| | - Antonella Martino
- Università Cattolica del Sacro Cuore, 00135 Rome, Italy
- Radiotherapy Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, LARGO A. Gemelli 8, 00135 Rome, Italy
| | - Ciro Mazzarella
- Università Cattolica del Sacro Cuore, 00135 Rome, Italy
- Radiotherapy Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, LARGO A. Gemelli 8, 00135 Rome, Italy
| | - Vincenzo Valentini
- Università Cattolica del Sacro Cuore, 00135 Rome, Italy
- Radiotherapy Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, LARGO A. Gemelli 8, 00135 Rome, Italy
| | - Stefano Margaritora
- Università Cattolica del Sacro Cuore, 00135 Rome, Italy
- Thoracic Surgery, Fondazione Policlinico Universitario A. Gemelli IRCCS, LARGO A. Gemelli 8, 00135 Rome, Italy
| | - Filippo Lococo
- Università Cattolica del Sacro Cuore, 00135 Rome, Italy
- Thoracic Surgery, Fondazione Policlinico Universitario A. Gemelli IRCCS, LARGO A. Gemelli 8, 00135 Rome, Italy
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Lin WC, Chen WM, Chen M, Shia BC, Wu SY. Clinical Effects of PET-CT Before Definite Concurrent Chemoradiotherapy in Patients With Unresectable Stage IIIA-IIIB Squamous Cell Carcinoma of the Lungs. Clin Nucl Med 2022; 47:677-683. [PMID: 35695702 DOI: 10.1097/rlu.0000000000004295] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
PURPOSE No large-scale, retrospective cohort study with a long-term follow-up time has yet evaluated the effects of preoperative 18 F-FDG PET-CT on survival in patients with unresectable stages IIIA-IIIB squamous cell lung carcinoma (SqCLC) who received definite concurrent chemoradiotherapy (CCRT). METHODS We included patients with unresectable stages IIIA-IIIB SqCLC receiving definite CCRT and categorized them into 2 groups. The case group comprised patients who underwent pre-CCRT 18 F-FDG PET-CT, and the comparison group comprised patients who did not receive pre-CCRT 18 F-FDG PET-CT; the groups were matched at a ratio of 1:1. RESULTS The matching process yielded a final cohort of 4042 eligible patients (2021 and 2021 in the case and comparison groups, respectively). Multivariable Cox regression analyses revealed a positive correlation between patients with unresectable stages IIIA-IIIB SqCLC receiving definite CCRT and all-cause death in the pre-CCRT 18 F-FDG PET-CT (adjusted hazard ratio, 0.85; 95% confidence interval, 0.80-0.91; P < 0.0001). CONCLUSION Pre-CCRT 18 F-FDG PET-CT was associated with more favorable survival in both patients with unresectable clinical stage IIIA and those with stage IIIB receiving definite CCRT.
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Affiliation(s)
- Wei-Chun Lin
- From the Division of Chest Medicine, Department of Internal Medicine, Lo-Hsu Medical Foundation, Lotung Poh-Ai Hospital, Yilan
| | | | - Mingchih Chen
- Graduate Institute of Business Administration, College of Management, Fu Jen Catholic University, Taipei
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5
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Yang Y, Zhang T, Zhou Z, Liang J, Chen D, Feng Q, Xiao Z, Hui Z, Lv J, Deng L, Wang X, Wang W, Wang J, Liu W, Zhai Y, Wang J, Bi N, Wang L. Development and validation of a prediction model using molecular marker for long-term survival in unresectable stage III non-small cell lung cancer treated with chemoradiotherapy. Thorac Cancer 2021; 13:296-307. [PMID: 34927371 PMCID: PMC8807329 DOI: 10.1111/1759-7714.14218] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2021] [Revised: 10/18/2021] [Accepted: 10/19/2021] [Indexed: 12/28/2022] Open
Abstract
Background This study aimed to establish a predictive nomogram integrating epidermal growth factor receptor (EGFR) mutation status for 3‐ and 5‐year overall survival (OS) in unresectable/inoperable stage III non‐small cell lung cancer (NSCLC) treated with definitive chemoradiotherapy. Methods A total of 533 stage III NSCLC patients receiving chemoradiotherapy from 2013 to 2017 in our institution were included and divided into training and testing sets (2:1). Significant factors impacting OS were identified in the training set and integrated into the nomogram based on Cox proportional hazards regression. The model was subject to bootstrap internal validation and external validation within the testing set and an independent cohort from a phase III trial. The accuracy and discriminative capacity of the model were examined by calibration plots, C‐indexes and risk stratifications. Results The final multivariate model incorporated sex, smoking history, histology (including EGFR mutation status), TNM stage, planning target volume, chemotherapy sequence and radiation pneumonitis grade. The bootstrapped C‐indexes in the training set were 0.688, 0.710 for the 3‐ and 5‐year OS. For external validation, C‐indexes for 3‐ and 5‐year OS were 0.717, 0.720 in the testing set and 0.744, 0.699 in the external testing cohort, respectively. The calibration plots presented satisfying accuracy. The derivative risk stratification strategy classified patients into distinct survival subgroups successfully and performed better than the traditional TNM staging. Conclusions The nomogram incorporating EGFR mutation status could facilitate survival prediction and risk stratification for individual stage III NSCLC, providing information for enhanced immunotherapy decision and future trial design.
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Affiliation(s)
- Yufan Yang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Tao Zhang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zongmei Zhou
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jun Liang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Dongfu Chen
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Qinfu Feng
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zefen Xiao
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhouguang Hui
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jima Lv
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lei Deng
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xin Wang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wenqing Wang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jianyang Wang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wenyang Liu
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yirui Zhai
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jie Wang
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Nan Bi
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Luhua Wang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.,Department of Radiation Oncology, National Cancer Center/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China
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Scirocco E, Cellini F, Zamagni A, Macchia G, Deodato F, Cilla S, Strigari L, Buwenge M, Rizzo S, Cammelli S, Morganti AG. Clinical Studies on Ultrafractionated Chemoradiation: A Systematic Review. Front Oncol 2021; 11:748200. [PMID: 34868948 PMCID: PMC8635188 DOI: 10.3389/fonc.2021.748200] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Accepted: 10/25/2021] [Indexed: 01/08/2023] Open
Abstract
Aim The efficacy of low-dose fractionated radiotherapy (LDFRT) and chemotherapy (CHT) combination has large preclinical but little clinical evidence. Therefore, the aim of this review was to collect and analyze the clinical results of LDRT plus concurrent CHT in patients with advanced cancers. Methods A systematic literature search was conducted on PubMed using the PRISMA methodology. Only studies based on the combination of LDFRT (< 1 Gy/fraction) and CHT were included. Endpoints of the analysis were tumor response, toxicity, and overall survival, with particular focus on any differences between LDFRT-CHT and CHT alone. Results Twelve studies (307 patients) fulfilled the selection criteria and were included in this review. Two studies were retrospective, one was a prospective pilot trial, six were phase II studies, two were phase I trials, and one was a phase I/II open label study. No randomized controlled trials were found. Seven out of eight studies comparing clinical response showed higher rates after LDFRT-CHT compared to CHT alone. Three out of four studies comparing survival reported improved results after combined treatment. Three studies compared toxicity of CHT and LDFRT plus CHT, and all of them reported similar adverse events rates. In most cases, toxicity was manageable with only three likely LDFRT-unrelated fatal events (1%), all recorded in the same series on LDFRT plus temozolomide in glioblastoma multiforme patients. Conclusion None of the analyzed studies provided level I evidence on the clinical impact of LDFRT plus CHT. However, it should be noted that, apart from two small series of breast cancers, all studies reported improved therapeutic outcomes and similar tolerability compared to CHT alone. Systematic Review Registration www.crd.york.ac.uk/prospero/, identifier CRD42020206639.
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Affiliation(s)
- Erica Scirocco
- Radiation Oncology, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.,Department of Experimental, Diagnostic and Specialty Medicine-Alma Mater Studiorum Bologna University, Bologna, Italy
| | - Francesco Cellini
- Università Cattolica del Sacro Cuore, Dipartimento Universitario Diagnostica per immagini, Radioterapia Oncologica ed Ematologia, Roma, Italy.,Fondazione Policlinico Universitario "A. Gemelli" Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Roma, Italy
| | - Alice Zamagni
- Radiation Oncology, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.,Department of Experimental, Diagnostic and Specialty Medicine-Alma Mater Studiorum Bologna University, Bologna, Italy
| | - Gabriella Macchia
- Radiotherapy Unit, Gemelli Molise Hospital, Catholic University of Sacred Heart, Campobasso, Italy
| | - Francesco Deodato
- Radiotherapy Unit, Gemelli Molise Hospital, Catholic University of Sacred Heart, Campobasso, Italy
| | - Savino Cilla
- Medical Physic Unit, Gemelli Molise Hospital, Catholic University of Sacred Heart, Campobasso, Italy
| | - Lidia Strigari
- Medical Physics Unit, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Milly Buwenge
- Department of Experimental, Diagnostic and Specialty Medicine-Alma Mater Studiorum Bologna University, Bologna, Italy
| | - Stefania Rizzo
- Service of Radiology, Imaging Institute of Southern Switzerland, Ente Ospedaliero Cantonale (EOC), Lugano, Switzerland
| | - Silvia Cammelli
- Radiation Oncology, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.,Department of Experimental, Diagnostic and Specialty Medicine-Alma Mater Studiorum Bologna University, Bologna, Italy
| | - Alessio Giuseppe Morganti
- Radiation Oncology, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.,Department of Experimental, Diagnostic and Specialty Medicine-Alma Mater Studiorum Bologna University, Bologna, Italy
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Duan C, Chaovalitwongse WA, Bai F, Hippe DS, Wang S, Thammasorn P, Pierce LA, Liu X, You J, Miyaoka RS, Vesselle HJ, Kinahan PE, Rengan R, Zeng J, Bowen SR. Sensitivity analysis of FDG PET tumor voxel cluster radiomics and dosimetry for predicting mid-chemoradiation regional response of locally advanced lung cancer. Phys Med Biol 2020; 65:205007. [PMID: 33027064 PMCID: PMC7593986 DOI: 10.1088/1361-6560/abb0c7] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
We investigated the sensitivity of regional tumor response prediction to variability in voxel clustering techniques, imaging features, and machine learning algorithms in 25 patients with locally advanced non-small cell lung cancer (LA-NSCLC) enrolled on the FLARE-RT clinical trial. Metabolic tumor volumes (MTV) from pre-chemoradiation (PETpre) and mid-chemoradiation fluorodeoxyglucose-positron emission tomography (FDG PET) images (PETmid) were subdivided into K-means or hierarchical voxel clusters by standardized uptake values (SUV) and 3D-positions. MTV cluster separability was evaluated by CH index, and morphologic changes were captured by Dice similarity and centroid Euclidean distance. PETpre conventional features included SUVmean, MTV/MTV cluster size, and mean radiation dose. PETpre radiomics consisted of 41 intensity histogram and 3D texture features (PET Oncology Radiomics Test Suite) extracted from MTV or MTV clusters. Machine learning models (multiple linear regression, support vector regression, logistic regression, support vector machines) of conventional features or radiomic features were constructed to predict PETmid response. Leave-one-out-cross-validated root-mean-squared-error (RMSE) for continuous response regression (ΔSUVmean) and area-under-receiver-operating-characteristic-curve (AUC) for binary response classification were calculated. K-means MTV 2-clusters (MTVhi, MTVlo) achieved maximum CH index separability (Friedman p < 0.001). Between PETpre and PETmid, MTV cluster pairs overlapped (Dice 0.70-0.87) and migrated 0.6-1.1 cm. PETmid ΔSUVmean response prediction was superior in MTV and MTVlo (RMSE = 0.17-0.21) compared to MTVhi (RMSE = 0.42-0.52, Friedman p < 0.001). PETmid ΔSUVmean response class prediction performance trended higher in MTVlo (AUC = 0.83-0.88) compared to MTVhi (AUC = 0.44-0.58, Friedman p = 0.052). Models were more sensitive to MTV/MTV cluster regions (Friedman p = 0.026) than feature sets/algorithms (Wilcoxon signed-rank p = 0.36). Top-ranked radiomic features included GLZSM-LZHGE (large-zone-high-SUV), GTSDM-CP (cluster-prominence), GTSDM-CS (cluster-shade) and NGTDM-CNT (contrast). Top-ranked features were consistent between MTVhi and MTVlo cluster pairs but varied between MTVhi-MTVlo clusters, reflecting distinct regional radiomic phenotypes. Variability in tumor voxel cluster response prediction can inform robust radiomic target definition for risk-adaptive chemoradiation in patients with LA-NSCLC. FLARE-RT trial: NCT02773238.
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Affiliation(s)
- Chunyan Duan
- Department of Mechanical Engineering, Tongji University School of Mechanical Engineering, Shanghai China
- Department of Industrial Engineering, University of Arkansas College of Engineering, Fayetteville AR
- Department of Radiation Oncology, University of Washington School of Medicine, Seattle WA
| | - W. Art Chaovalitwongse
- Department of Industrial Engineering, University of Arkansas College of Engineering, Fayetteville AR
| | - Fangyun Bai
- Department of Management Science and Engineering, Tongji University School of Economics and Management, Shanghai China
- Department of Industrial, Manufacturing, & Systems Engineering, University of Texas at Arlington College of Engineering, Arlington, TX
| | - Daniel S. Hippe
- Department of Radiology, University of Washington School of Medicine, Seattle WA
| | - Shouyi Wang
- Department of Industrial, Manufacturing, & Systems Engineering, University of Texas at Arlington College of Engineering, Arlington, TX
| | - Phawis Thammasorn
- Department of Industrial Engineering, University of Arkansas College of Engineering, Fayetteville AR
| | - Larry A. Pierce
- Department of Radiology, University of Washington School of Medicine, Seattle WA
| | - Xiao Liu
- Department of Industrial Engineering, University of Arkansas College of Engineering, Fayetteville AR
| | - Jianxin You
- Department of Management Science and Engineering, Tongji University School of Economics and Management, Shanghai China
| | - Robert S. Miyaoka
- Department of Radiology, University of Washington School of Medicine, Seattle WA
| | - Hubert J. Vesselle
- Department of Radiology, University of Washington School of Medicine, Seattle WA
| | - Paul E. Kinahan
- Department of Radiology, University of Washington School of Medicine, Seattle WA
| | - Ramesh Rengan
- Department of Radiation Oncology, University of Washington School of Medicine, Seattle WA
| | - Jing Zeng
- Department of Radiation Oncology, University of Washington School of Medicine, Seattle WA
| | - Stephen R. Bowen
- Department of Radiation Oncology, University of Washington School of Medicine, Seattle WA
- Department of Radiology, University of Washington School of Medicine, Seattle WA
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Ozkan EE, Kaymak Cerkesli ZA, Erdogan M. Predictive value of immune-inflammation indices in metabolic response and outcome after curative radiotherapy in patients with non-small cell lung cancer. CLINICAL RESPIRATORY JOURNAL 2020; 14:849-856. [PMID: 32421891 DOI: 10.1111/crj.13217] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Revised: 03/16/2020] [Accepted: 05/12/2020] [Indexed: 12/26/2022]
Abstract
INTRODUCTION Role of systemic inflammation response in prognosis of several solid tumors has been evaluated in quite a lot of recent reports. OBJECTIVES In this study, we aimed to investigate the effect of a novel immune response marker; systemic immune-inflammation index (SII) on metabolic response to chemoradiotherapy and outcome in patients with non-small cell lung cancer (NSCLC). Other several inflammatory indices such as neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), lymphocyte to monocyte ratio (LMR) and prognostic nutritional index (PNI) were also evaluated in terms of predictive value. METHODS Files of 66 newly diagnosed NSCLC patients who underwent curative radiotherapy were retrospectively analyzed. Factors correlated with overall survival was evaluated via univariate and multivariate survival analysis. RESULTS In 20.05 months of median follow-up 22 (33.33%) patients were alive. Median overall survival, 3 and 5 years survival for the entire group were 25.49 (95% CI: 19.07-31.91) months, 54.9% and 20.1%, respectively. Among investigated inflammatory indices, only low PNI (≤45.45), was found significantly correlated with poor response rate (P: .024). None of the prognostic factors and inflammatory indices were found statistically significant in terms of overall survival via univariate and multivariate analysis. CONCLUSIONS Immunoinflammatory indices are feasible prognostic indicators for clinical use with easily accessible components. In this study, we demonstrated that pretreatment PNI ≤ 45.45 was statistically significant for predicting poor treatment response. None of the indices were significantly correlated with radiation pneumonitis.
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Affiliation(s)
- Emine Elif Ozkan
- Department of Radiation Oncology, Suleyman Demirel University, Isparta, Turkey
| | | | - Mehmet Erdogan
- Department of Nuclear Medicine, Suleyman Demirel University, Isparta, Turkey
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Filice A, Casali M, Ciammella P, Galaverni M, Fioroni F, Iotti C, Versari A. Radiotherapy Planning and Molecular Imaging in Lung Cancer. Curr Radiopharm 2020; 13:204-217. [PMID: 32186275 PMCID: PMC8206193 DOI: 10.2174/1874471013666200318144154] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2019] [Revised: 03/11/2019] [Accepted: 11/11/2019] [Indexed: 12/24/2022]
Abstract
INTRODUCTION In patients suitable for radical chemoradiotherapy for lung cancer, 18F-FDGPET/ CT is a proposed management to improve the accuracy of high dose radiotherapy. However, there is a high rate of locoregional failure in patients with locally advanced non-small cell lung cancer (NSCLC), probably due to the fact that standard dosing may not be effective in all patients. The aim of the present review was to address some criticisms associated with the radiotherapy image-guided in NSCLC. MATERIALS AND METHODS A systematic literature search was conducted. Only published articles that met the following criteria were included: articles, only original papers, radiopharmaceutical ([18F]FDG and any tracer other than [18F]FDG), target, only specific for lung cancer radiotherapy planning, and experimental design (eventually "in vitro" studies were excluded). Peer-reviewed indexed journals, regardless of publication status (published, ahead of print, in press, etc.) were included. Reviews, case reports, abstracts, editorials, poster presentations, and publications in languages other than English were excluded. The decision to include or exclude an article was made by consensus and any disagreement was resolved through discussion. RESULTS Hundred eligible full-text articles were assessed. Diverse information is now available in the literature about the role of FDG and new alternative radiopharmaceuticals for the planning of radiotherapy in NSCLC. In particular, the role of alternative technologies for the segmentation of FDG uptake is essential, although indeterminate for RT planning. The pros and cons of the available techniques have been extensively reported. CONCLUSION PET/CT has a central place in the planning of radiotherapy for lung cancer and, in particular, for NSCLC assuming a substantial role in the delineation of tumor volume. The development of new radiopharmaceuticals can help overcome the problems related to the disadvantage of FDG to accumulate also in activated inflammatory cells, thus improving tumor characterization and providing new prognostic biomarkers.
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Affiliation(s)
- Angelina Filice
- Address correspondence to this author at the Nuclear Medicine Unit, Azienda Unità Sanitaria Locale, Istituto di Ricovero e Cura a Carattere Scientifico, Reggio Emilia, Italy; E-mail:
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Chen HHW, Su WC, Guo HR, Lee BF, Chiu NT. Prognostic value of volumetric metabolic parameter changes determined by during and after radiotherapy-based 18 F-FDG PET/CT in stage III non-small cell lung cancer. Kaohsiung J Med Sci 2019; 35:151-159. [PMID: 30887722 DOI: 10.1002/kjm2.12027] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2018] [Accepted: 12/19/2018] [Indexed: 12/16/2022] Open
Abstract
The aim of this prospective study was to evaluate the prognostic value of volumetric metabolic parameters assessed by during and after radiation-based therapy 18 F-FDG PET/CT in patients with stage III non-small cell lung cancer (NSCLC). We enrolled stage III NSCLC patients who had planned to receive definitive chemo-radiation or radiotherapy (RT) and underwent 18 F-FDG PET/CT before treatment (PET1), during RT (at the fifth week, PET2) and after treatment (3 months later, PET3). By comparing with PET1, percentage changes of metabolic tumor volume (ΔMTV) and tumor total lesion glycolysis (ΔTLG) of PET2 and PET3 were calculated. We used medians of ΔTLG and ΔMTV as cut-off values to stratify patients. Their prognostic values were evaluated by progression-free survival (PFS) and overall survival (OS). Thirty patients were enrolled initially. Five were excluded due to multiple metastases or double cancer. The remaining 25 patients had PET2 at a median of 46 Gy. Data on PET3 were available in 19 patients. During-RT ΔTLG (cut-off: 65%) was a significant prognostic factor for PFS (P = 0.02) and OS (P < 0.01). During-RT ΔMTV (cut-off: 42%) had marginal significance for PFS (P = 0.07) and was significant for OS (P = 0.02). Of the PET3 parameters, neither ΔTLG nor ΔMTV was a significant prognostic factor for PFS and OS. We conclude that ΔTLG of during-RT 18 F-FDG PET/CT may predict treatment response and thus provide opportunities to modify treatment for poor responders.
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Affiliation(s)
- Helen H W Chen
- Departments of Radiation Oncology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Wu-Chou Su
- Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - How-Ran Guo
- Environmental and Occupational Health, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Bi-Fang Lee
- Nuclear Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Nan-Tsing Chiu
- Nuclear Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
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How much primary tumor metabolic volume reduction is required to improve outcome in stage III NSCLC after chemoradiotherapy? A single-centre experience. Eur J Nucl Med Mol Imaging 2018; 45:2103-2109. [DOI: 10.1007/s00259-018-4063-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2018] [Accepted: 05/27/2018] [Indexed: 12/28/2022]
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Lazzeroni M, Uhrdin J, Carvalho S, van Elmpt W, Lambin P, Dasu A, Wersäll P, Toma-Dasu I. Evaluation of third treatment week as temporal window for assessing responsiveness on repeated FDG-PET-CT scans in Non-Small Cell Lung Cancer patients. Phys Med 2018. [DOI: 10.1016/j.ejmp.2018.01.012] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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