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Vera P, Thureau S, Le Tinier F, Chaumet-Riffaud P, Hapdey S, Kolesnikov-Gauthier H, Martin E, Berriolo-Riedinger A, Pourel N, Broglia JM, Boissellier P, Guillemard S, Salem N, Brenot-Rossi I, Le Péchoux C, Berthold C, Giroux-Leprieur E, Moreau D, Guillerm S, Benali K, Tessonnier L, Audigier-Valette C, Lerouge D, Quak E, Massabeau C, Courbon F, Moisson P, Larrouy A, Modzelewski R, Gouel P, Ghazzar N, Langlais A, Amour E, Zalcman G, Giraud P. Adaptive radiotherapy (up to 74 Gy) or standard radiotherapy (66 Gy) for patients with stage III non-small-cell lung cancer, according to [ 18F]FDG-PET tumour residual uptake at 42 Gy (RTEP7-IFCT-1402): a multicentre, randomised, controlled phase 2 trial. Lancet Oncol 2024; 25:1176-1187. [PMID: 39134086 DOI: 10.1016/s1470-2045(24)00320-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Revised: 05/23/2024] [Accepted: 05/23/2024] [Indexed: 09/01/2024]
Abstract
BACKGROUND Thoracic radiation intensification is debated in patients with stage III non-small-cell lung cancer (NSCLC). We aimed to assess the activity and safety of a boost radiotherapy dose up to 74 Gy in a functional sub-volume given according to on-treatment [18F]fluorodeoxyglucose ([18F]FDG)-PET results. METHODS In this multicentre, randomised, controlled non-comparative phase 2 trial, we recruited patients aged 18 years or older with inoperable stage III NSCLC without EGFR mutation or ALK rearrangement with an Eastern Cooperative Oncology Group performance status of 0-1, and who were affiliated with or a beneficiary of a social benefit system, with evaluable tumour or node lesions, preserved lung function, and who were amenable to curative-intent radiochemotherapy. Patients were randomly allocated using a central interactive web-response system in a non-masked method (1:1; minimisation method used [random factor of 0·8]; stratified by radiotherapy technique [intensity-modulated radiotherapy vs three-dimensional conformal radiotherapy] and by centre at which patients were treated) either to the experimental adaptive radiotherapy group A, in which only patients with positive residual metabolism on [18F]FDG-PET at 42 Gy received a boost radiotherapy (up to 74 Gy in 33 fractions), with all other patients receiving standard radiotherapy dosing (66 Gy in 33 fractions over 6·5 weeks), or to the standard radiotherapy group B (66 Gy in 33 fractions) over 6·5 weeks. All patients received two cycles of induction platinum-based chemotherapy cycles (paclitaxel 175 mg/m2 intravenously once every 3 weeks and carboplatin area under the curve [AUC]=6 once every 3 weeks, or cisplatin 80 mg/m2 intravenously once every 3 weeks and vinorelbine 30 mg/m2 intravenously on day 1 and 60 mg/m2 orally [or 30 mg/m2 intravenously] on day 8 once every 3 weeks). Then they concomitantly received radiochemotherapy with platinum-based chemotherapy (three cycles for 8 weeks, with once per week paclitaxel 40 mg/m2 intravenously and carboplatin AUC=2 or cisplatin 80 mg/m2 intravenously and vinorelbine 20 mg/m2 intravenously on day 1 and 40 mg/m2 orally (or 20 mg/m2 intravenously) on day 8 in 21-day cycles). The primary endpoint was the 15-month local control rate in the eligible patients who received at least one dose of concomitant radiochemotherapy. This RTEP7-IFCT-1402 trial is registered with ClinicalTrials.gov (NCT02473133), and is ongoing. FINDINGS From Nov 12, 2015, to July 7, 2021, we randomly assigned 158 patients (47 [30%] women and 111 [70%] men) to either the boosted radiotherapy group A (81 [51%]) or to the standard radiotherapy group B (77 [49%)]. In group A, 80 (99%) patients received induction chemotherapy and 68 (84%) received radiochemotherapy, of whom 48 (71%) with residual uptake on [18F]FDG-PET after 42 Gy received a radiotherapy boost. In group B, all 77 patients received induction chemotherapy and 73 (95%) received radiochemotherapy. At the final analysis, the median follow-up for eligible patients who received radiochemotherapy (n=140) was 45·1 months (95% CI 39·3-48·3). The 15-month local control rate was 77·6% (95% CI 67·6-87·6%) in group A and 71·2% (95% CI 60·8-81·6%) in group B. Acute (within 90 days from radiochemotherapy initiation) grade 3-4 adverse events were observed in 20 (29%) of 68 patients in group A and 33 (45%) of 73 patients in group B, including serious adverse events in five (7%) patients in group A and ten (14%) patients in group B. The most common grade 3-4 adverse events were febrile neutropenia (seven [10%] of 68 in group A vs 16 [22%] of 73 in group B), and anaemia (five [7%] vs nine [12%]). In the acute phase, two deaths (3%) occurred in group B (one due to a septic shock related to chemotherapy, and the other due to haemotypsia not related to study treatment), and no deaths occurred in group A. After 90 days, one additional treatment-unrelated death occurred in group A and two deaths events occurred in group B (one radiation pneumonitis and one pneumonia unrelated to treatment). INTERPRETATION A thoracic radiotherapy boost, based on interim [18F]FDG-PET, led to a meaningful local control rate with no difference in adverse events between the two groups in organs at risk, in contrast with previous attempts at thoracic radiation intensification, warranting a randomised phase 3 evaluation of such [18F]FDG-PET-guided radiotherapy dose adaptation in patients with stage III NSCLC. FUNDING Programme Hospitalier de Recherche Clinique National 2014.
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Affiliation(s)
- Pierre Vera
- Nuclear Medicine Department and QuantIF LITIS (EA4108), Centre Henri Becquerel, Rouen, France.
| | - Sébastien Thureau
- Radiotherapy Department and QuantIF LITIS (EA4108), Centre Henri Becquerel, Rouen, France
| | | | | | - Sébastien Hapdey
- Nuclear Medicine Department and QuantIF LITIS (EA4108), Centre Henri Becquerel, Rouen, France
| | | | - Etienne Martin
- Radiotherapy Department, Centre Georges-François Leclerc, Dijon, France
| | | | - Nicolas Pourel
- Unité Fonctionnelle Onco-Thoracique, Institut du Cancer, Avignon, France
| | - Jean Marc Broglia
- Nuclear Medicine Deparment, Institut Sainte-Catherine, Avignon, France
| | - Pierre Boissellier
- Radiotherapy Department, Institut du Cancer de Montpellier, Montpellier, France
| | - Sophie Guillemard
- Nuclear Medicine Department, Institut du Cancer de Montpellier, Montpellier, France
| | - Naji Salem
- Radiotherapy Department, Institut Paoli-Calmettes, Marseille, France
| | | | | | - Céline Berthold
- Radiation Oncology Department, Gustave Roussy, Villejuif, France
| | - Etienne Giroux-Leprieur
- University Paris-Saclay, Department of Respiratory Diseases and Thoracic Oncology, Assistance Publique-Hôpitaux de Paris, Ambroise Paré Hospital, Boulogne-Billancourt, France
| | - Damien Moreau
- Oncology Radiotherapy Department, Paris Cité University, European Hospital Georges-Pompidou, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - Sophie Guillerm
- Department of Radiation Therapy, Saint-Louis Hospital, Assistance Publique - Hôpitaux de Paris, Paris, France
| | - Khadija Benali
- Nuclear Medicine Department, Hôpital Bichat-Claude Bernard, Assistance Publique-Hôpitaux de Paris Nord, Paris, France
| | - Laurent Tessonnier
- Nuclear Medicine Department, Centre Intercommunal Sainte-Musse de Toulon-La Seyne-sur-mer, Toulon, France
| | | | | | - Elske Quak
- Nuclear Medicine Department, Centre Francois Baclesse, Caen, France
| | - Carole Massabeau
- Radiotherapy Department, Institut Claudius Regaud - Institut Universitaire du Cancer de Toulouse-Oncopole, Toulouse, France
| | - Frédéric Courbon
- Nuclear Medicine Department, Institut Claudius Regaud - Institut Universitaire du Cancer de Toulouse-Oncopole, Toulouse, France
| | - Patricia Moisson
- Radiotherapy Department, Hopital René Huguenin - Institut Curie, Saint-Cloud, France
| | - Anne Larrouy
- Radiotherapy Department, Centre de Cancerologie Paris Nord, Sarcelles, France
| | - Romain Modzelewski
- Nuclear Medicine Department and QuantIF LITIS (EA4108), Centre Henri Becquerel, Rouen, France
| | - Pierrick Gouel
- Nuclear Medicine Department and QuantIF LITIS (EA4108), Centre Henri Becquerel, Rouen, France
| | - Nadia Ghazzar
- Nuclear Medicine Department, Paris Cité University, European Hospital Georges-Pompidou - Assistance Publique-Hôpitaux de Paris Centre, Paris, France
| | - Alexandra Langlais
- Clinical Research Unit, Intergroupe Francophone de Cancérologie Thoracique, Paris, France
| | - Elodie Amour
- Clinical Research Unit, Intergroupe Francophone de Cancérologie Thoracique, Paris, France
| | - Gérard Zalcman
- Université Paris Cité, Thoracic Oncology Department, Centre d'Investigation Clinique Institut National de la Santé et de la Recherche Médicale 1425, Hôpital Bichat-Claude Bernard, Institut du Cancer - Assistance Publique-Hôpitaux de Paris Nord, Paris, France
| | - Philippe Giraud
- Oncology Radiotherapy Department, Paris Cité University, European Hospital Georges-Pompidou, Assistance Publique-Hôpitaux de Paris, Paris, France
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Chen X, Bai G, Zang R, Song P, Bie F, Huai Q, Li Y, Liu Y, Zhou B, Bie Y, Yang Z, Gao S. Utility of 18F-FDG uptake in predicting major pathological response to neoadjuvant immunotherapy in patients with resectable non‑small cell lung cancer. Transl Oncol 2023; 35:101725. [PMID: 37421908 DOI: 10.1016/j.tranon.2023.101725] [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: 02/20/2023] [Revised: 06/10/2023] [Accepted: 06/17/2023] [Indexed: 07/10/2023] Open
Abstract
PURPOSE The aim of present study was to investigate the efficiency of 18F-FDG uptake in predicting major pathological response (MPR) in resectable non-small cell lung cancer (NSCLC) patients with neoadjuvant immunotherapy. METHODS A total of 104 patients with stage I-IIIB NSCLC were retrospectively derived from National Cancer Center of China, of which 36 cases received immune checkpoint inhibitors (ICIs) monotherapy (I-M) and 68 cases with ICI combination therapy (I-C). 18F-FDG PET-CT scans were performed at baseline and after neoadjuvant therapy (NAT). Receiver-operating characteristic (ROC) curve analyses were conducted and area under ROC curve (AUC) was calculated for biomarkers including maximum standardized uptake value (SUVmax), inflammatory biomarkers, tumor mutation burden (TMB), PD-L1 tumor proportion score (TPS) and iRECIST. RESULTS Fifty-four resected NSCLC tumors achieved MPR (51.9%, 54/104). In both neoadjuvant I-M and I-C cohorts, post-NAT SUVmax and the percentage changes of SUVmax (ΔSUVmax%) were significantly lower in the patients with MPR versus non-MPR (p < 0.01), and were also negatively correlated with the degree of pathological regression (p < 0.01). The AUC of ΔSUVmax% for predicting MPR was respectively 1.00 (95% CI: 1.00-1.00) in neoadjuvant I-M cohort and 0.94 (95% CI: 0.86-1.00) in I-C cohort. Baseline SUVmax had a statistical prediction value for MPR only in I-M cohort, with an AUC up to 0.76 at the threshold of 17.0. ΔSUVmax% showed an obvious advantage in MPR prediction over inflammatory biomarkers, TMB, PD-L1 TPS and iRECIST. CONCLUSION 18F-FDG uptake can predict MPR in NSCLC patients with neoadjuvant immunotherapy.
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Affiliation(s)
- Xiaowei Chen
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Guangyu Bai
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ruochuan Zang
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Peng Song
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Fenglong Bie
- Institute of Oncology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China
| | - Qilin Huai
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yuan Li
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yang Liu
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Bolun Zhou
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yifan Bie
- Department of Radiology, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Zhenlin Yang
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Shugeng Gao
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
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Guberina M, Santiago A, Pöttgen C, Indenkämpen F, Lübcke W, Qamhiyeh S, Gauler T, Hoffmann C, Guberina N, Stuschke M. Respiration-controlled radiotherapy in lung cancer: Systematic evaluation of the optimal application practice. Clin Transl Radiat Oncol 2023; 40:100628. [PMID: 37138702 PMCID: PMC10149340 DOI: 10.1016/j.ctro.2023.100628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 04/05/2023] [Accepted: 04/15/2023] [Indexed: 05/05/2023] Open
Abstract
Background and purpose Definitive radiochemotherapy (RCT) for non-small cell lung cancer (NSCLC) in UICC/TNM I-IVA (singular, oligometastatic) is one of the treatment methods with a potentially curative concept. However, tumour respiratory motion during RT requires exact pre-planning. There are various techniques of motion management like creating internal target volume (ITV), gating, inspiration breath-hold and tracking. The primary goal is to cover the PTV with the prescribed dose while at the same time maximizing dose reduction of surrounding normal tissues (organs at risk, OAR). In this study, two standardized online breath-controlled application techniques used alternately in our department are compared with respect to lung and heart dose. Materials and methods Twenty-four patients who were indicated for thoracic RT received planning CTs in voluntary deep inspiration breath-hold (DIBH) and in free shallow breathing, prospectively gated in expiration (FB-EH). A respiratory gating system by Varian (Real-time Position Management, RPM) was used for monitoring. OAR, GTV, CTV and PTV were contoured on both planning CTs. The PTV margin to the CTV was 5 mm in the axial and 6-8 mm in the cranio-caudal direction. The consistency of the contours was checked by elastic deformation (Varian Eclipse Version 15.5). RT plans were generated and compared in both breathing positions using the same technique, IMRT over fixed irradiation directions or VMAT. The patients were treated in a prospective registry study with the approval of the local ethics committee. Results The PTV in expiration (FB-EH) was on average significantly smaller than the PTV in inspiration (DIBH): for tumours in the lower lobe (LL) 431.5 vs. 477.6 ml (Wilcoxon test for connected samples; p = 0.004), in the upper lobe (UL) 659.5 vs. 686.8 ml (p = 0.005). The intra-patient comparison of plans in DIBH and FB-EH showed superiority of DIBH for UL-tumours and equality of DIBH and FB-EH for LL-tumours. The dose for OAR in UL-tumours was lower in DIBH than in FB-EH (mean lung dose p = 0.011; lungV20, p = 0.002; mean heart dose p = 0.016). The plans for LL-tumours in FB-EH showed no difference in OAR compared to DIBH (mean lung dose p = 0.683; V20Gy p = 0.33; mean heart dose p = 0.929). The RT setting was controlled online for each fraction and was robustly reproducible in FB-EH. Conclusion RT plans for treating lung tumours implemented depend on the reproducibility of the DIBH and advantages of the respiratory situation with respect to OAR. The primary tumour localization in UL correlates with advantages of RT in DIBH, compared to FB-EH. For LL-tumours there is no difference between RT in FB-EH and RT in DIBH with respect to heart or lung exposure and therefore, reproducibility is the dominant criterion. FB-EH is recommended as a very robust and efficient technique for LL-tumours.
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Affiliation(s)
- M. Guberina
- Department for Radiotherapy, University Hospital Essen, West German Cancer Center, University Duisburg-Essen, Essen, Germany
- German Consortium for Translational Cancer Research, Deutsches Konsortium für Translationale Krebsforschung (DKTK), Partner Site University Hospital Essen, Deutsche Krebsforschungszentrum (DKFZ), Essen, Germany
- Corresponding author at: Department for Radiotherapy, University Hospital Essen, West German Cancer Center, University Duisburg-Essen, Hufealndstr. 55, Essen 45147, Germany.
| | - A. Santiago
- Department for Radiotherapy, University Hospital Essen, West German Cancer Center, University Duisburg-Essen, Essen, Germany
- Medical Physics, Department for Radiotherapy, University Hospital Essen, West German Cancer Center, University Duisburg-Essen, Essen, Germany
| | - C. Pöttgen
- Department for Radiotherapy, University Hospital Essen, West German Cancer Center, University Duisburg-Essen, Essen, Germany
| | - F. Indenkämpen
- Department for Radiotherapy, University Hospital Essen, West German Cancer Center, University Duisburg-Essen, Essen, Germany
- Medical Physics, Department for Radiotherapy, University Hospital Essen, West German Cancer Center, University Duisburg-Essen, Essen, Germany
| | - W. Lübcke
- Department for Radiotherapy, University Hospital Essen, West German Cancer Center, University Duisburg-Essen, Essen, Germany
- Medical Physics, Department for Radiotherapy, University Hospital Essen, West German Cancer Center, University Duisburg-Essen, Essen, Germany
| | - S. Qamhiyeh
- Department for Radiotherapy, University Hospital Essen, West German Cancer Center, University Duisburg-Essen, Essen, Germany
- Medical Physics, Department for Radiotherapy, University Hospital Essen, West German Cancer Center, University Duisburg-Essen, Essen, Germany
| | - T. Gauler
- Department for Radiotherapy, University Hospital Essen, West German Cancer Center, University Duisburg-Essen, Essen, Germany
| | - C. Hoffmann
- Department for Radiotherapy, University Hospital Essen, West German Cancer Center, University Duisburg-Essen, Essen, Germany
| | - N. Guberina
- Department for Radiotherapy, University Hospital Essen, West German Cancer Center, University Duisburg-Essen, Essen, Germany
| | - M. Stuschke
- Department for Radiotherapy, University Hospital Essen, West German Cancer Center, University Duisburg-Essen, Essen, Germany
- German Consortium for Translational Cancer Research, Deutsches Konsortium für Translationale Krebsforschung (DKTK), Partner Site University Hospital Essen, Deutsche Krebsforschungszentrum (DKFZ), Essen, Germany
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[ 68Ga]FAPI-PET/CT for radiation therapy planning in biliary tract, pancreatic ductal adeno-, and adenoidcystic carcinomas. Sci Rep 2022; 12:16261. [PMID: 36171444 PMCID: PMC9519639 DOI: 10.1038/s41598-022-20447-6] [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: 03/15/2022] [Accepted: 09/13/2022] [Indexed: 11/08/2022] Open
Abstract
Biliary-tract-carcinomas (BTC), pancreatic-ductal-adenocarcinomas (PDAC) and adenoidcystic-carcinomas (AC) have in common that they are traditionally treated with large clinical-target-volumes (CTV). The aim of this study is to examine the impact of pretreatment-[68Ga]FAPI-PET/CT on target-volume-definition and posttreatment-[68Ga]FAPI-PET/CT-response-assessment for BTC-, PDAC- and AC-patients referred to radiation-therapy. All consecutive BTC-, PDAC-, and AC-patients who received pretreatment-[68Ga]FAPI-PET/CT±[18F]FDG-PET/CT were included from 01.01.2020 to 01.03.2022. MTV and SUVmax were separately generated based on [68Ga]FAPI- and [18F]FDG-PET/CT-images. A [68Ga]FAPI- and [18F]FDG-based-CTV was defined. Treatment-plans were compared. Treatment-response was reassessed by a second [68Ga]FAPI-PET/CT and [18F]FDG-PET/CT after treatment-completion. Intermodality comparison of lesion-to-background-ratios [SUVmax_lesion/SUVmean_background] for individual timepoints t1 and t2 revealed significant higher values for [68Ga]FAPI compared to [18F]FDG (t1, p = 0.008; t2, p = 0.005). Intermodality comparison of radiation-therapy-plans showed that [68Ga]FAPI-based planning resulted in D100% = 97.2% and V95% = 98.8% for the [18F]FDG-MTV. [18F]FDG-based-planning resulted in D100% = 35.9% and V95% = 78.1% for [68Ga]FAPI-MTV. [18F]FDG-based-planning resulted only in 2 patients in V95% > 95% for [68Ga]FAPI-MTV, and in 1 patient in D100% > 97% for [68Ga]FAPI-MTV. GTV-coverage in terms of V95% was 76.4% by [18F]FDG-based-planning and 99.5% by [68Ga]FAPI-based-planning. Pretreatment [68Ga]FAPI-PET/CT enhances radiation-treatment-planning in this particular group of patients. While perilesional and tumoral follow-up [18F]FDG-uptake behaved uniformly, perilesional and tumoral reaction may differ in follow-up [68Ga]FAPI-imaging. Complementary [68Ga]FAPI- and [18F]FDG-imaging enhance treatment-response-assessment.
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Guberina M, Guberina N, Pöttgen C, Gauler T, Richlitzki C, Metzenmacher M, Wiesweg M, Plönes T, Forsting M, Wetter A, Herrmann K, Hautzel H, Darwiche K, Theegarten D, Aigner C, Schuler M, Stuschke M, Eberhardt WE. Effectiveness of durvalumab consolidation in stage III non-small-cell lung cancer: focus on treatment selection and prognostic factors. Immunotherapy 2022; 14:927-944. [PMID: 35822656 DOI: 10.2217/imt-2021-0341] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
The pivotal PACIFIC trial defined durvalumab consolidation as the new standard of care in patients with stage III non-small-cell lung cancer treated with definitive radiochemotherapy. The authors characterized the durvalumab effect after induction chemotherapy according to the ESPATUE trial and definitive radiochemotherapy. All consecutive patients with stage III non-small-cell lung cancer receiving definitive radiochemotherapy between January 2017 and February 2020 were included. Primary end points were progression-free survival and overall survival. Altogether, 160 patients (75 PD-L1-positive, 62 PD-L1-negative, 23 unknown) received definitive radiochemotherapy, 146 (91%) of whom received prior induction chemotherapy. Durvalumab consolidation showed high effectiveness overall and in the good-risk group according to the PACIFIC trial (log-rank test: p < 0.005). Hazard ratios for progression-free survival and overall survival were at the lower limits of those in the PACIFIC trial. These results were robust to adjustment for potential confounders by propensity score weighting. Eastern Cooperative Oncology Group (ECOG) performance status was the most important pretreatment prognostic factor.
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Affiliation(s)
- Maja Guberina
- Department of Radiotherapy, West German Cancer Center, University Hospital Essen, Essen, 45147, Germany.,German Cancer Consortium, Partner Site University Hospital Essen, Essen, 45147, Germany
| | - Nika Guberina
- Department of Radiotherapy, West German Cancer Center, University Hospital Essen, Essen, 45147, Germany
| | - Christoph Pöttgen
- Department of Radiotherapy, West German Cancer Center, University Hospital Essen, Essen, 45147, Germany
| | - Thomas Gauler
- Department of Radiotherapy, West German Cancer Center, University Hospital Essen, Essen, 45147, Germany
| | - Cedric Richlitzki
- Department of Radiotherapy, West German Cancer Center, University Hospital Essen, Essen, 45147, Germany
| | - Martin Metzenmacher
- Department of Medical Oncology, West German Cancer Center, University Hospital Essen, Essen, 45147, Germany.,Division of Thoracic Oncology, University Medicine Essen-Ruhrlandklinik, Essen, 45239, Germany
| | - Marcel Wiesweg
- Department of Medical Oncology, West German Cancer Center, University Hospital Essen, Essen, 45147, Germany.,Division of Thoracic Oncology, University Medicine Essen-Ruhrlandklinik, Essen, 45239, Germany
| | - Till Plönes
- Department of Thoracic Surgery and Endoscopy, University Medicine Essen-Ruhrlandklinik, West German Cancer Center, University Hospital Essen, Essen, 45239, Germany
| | - Michael Forsting
- Institute of Diagnostic, Interventional Radiology and Neuroradiology, University Hospital Essen, University Duisburg-Essen, Essen, 45147, Germany
| | - Axel Wetter
- Institute of Diagnostic, Interventional Radiology and Neuroradiology, University Hospital Essen, University Duisburg-Essen, Essen, 45147, Germany
| | - Ken Herrmann
- German Cancer Consortium, Partner Site University Hospital Essen, Essen, 45147, Germany.,Department of Nuclear Medicine, University Hospital Essen, West German Cancer Center, University Duisburg-Essen, Essen, 45147, Germany
| | - Hubertus Hautzel
- German Cancer Consortium, Partner Site University Hospital Essen, Essen, 45147, Germany.,Department of Nuclear Medicine, University Hospital Essen, West German Cancer Center, University Duisburg-Essen, Essen, 45147, Germany
| | - Kaid Darwiche
- Department of Pulmonary Medicine, Section of Interventional Pneumology, University Medicine Essen-Ruhrlandklinik, Essen, 45239, Germany
| | - Dirk Theegarten
- Institute of Pathology, University Hospital Essen, Essen, 45147, Germany
| | - Clemens Aigner
- German Cancer Consortium, Partner Site University Hospital Essen, Essen, 45147, Germany.,Department of Thoracic Surgery and Endoscopy, University Medicine Essen-Ruhrlandklinik, West German Cancer Center, University Hospital Essen, Essen, 45239, Germany
| | - Martin Schuler
- German Cancer Consortium, Partner Site University Hospital Essen, Essen, 45147, Germany.,Department of Medical Oncology, West German Cancer Center, University Hospital Essen, Essen, 45147, Germany.,Division of Thoracic Oncology, University Medicine Essen-Ruhrlandklinik, Essen, 45239, Germany
| | - Martin Stuschke
- German Cancer Consortium, Partner Site University Hospital Essen, Essen, 45147, Germany
| | - Wilfried Ee Eberhardt
- Department of Medical Oncology, West German Cancer Center, University Hospital Essen, Essen, 45147, Germany.,Division of Thoracic Oncology, University Medicine Essen-Ruhrlandklinik, Essen, 45239, Germany
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Manafi-Farid R, Askari E, Shiri I, Pirich C, Asadi M, Khateri M, Zaidi H, Beheshti M. [ 18F]FDG-PET/CT radiomics and artificial intelligence in lung cancer: Technical aspects and potential clinical applications. Semin Nucl Med 2022; 52:759-780. [PMID: 35717201 DOI: 10.1053/j.semnuclmed.2022.04.004] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 04/10/2022] [Accepted: 04/13/2022] [Indexed: 02/07/2023]
Abstract
Lung cancer is the second most common cancer and the leading cause of cancer-related death worldwide. Molecular imaging using [18F]fluorodeoxyglucose Positron Emission Tomography and/or Computed Tomography ([18F]FDG-PET/CT) plays an essential role in the diagnosis, evaluation of response to treatment, and prediction of outcomes. The images are evaluated using qualitative and conventional quantitative indices. However, there is far more information embedded in the images, which can be extracted by sophisticated algorithms. Recently, the concept of uncovering and analyzing the invisible data extracted from medical images, called radiomics, is gaining more attention. Currently, [18F]FDG-PET/CT radiomics is growingly evaluated in lung cancer to discover if it enhances the diagnostic performance or implication of [18F]FDG-PET/CT in the management of lung cancer. In this review, we provide a short overview of the technical aspects, as they are discussed in different articles of this special issue. We mainly focus on the diagnostic performance of the [18F]FDG-PET/CT-based radiomics and the role of artificial intelligence in non-small cell lung cancer, impacting the early detection, staging, prediction of tumor subtypes, biomarkers, and patient's outcomes.
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Affiliation(s)
- Reyhaneh Manafi-Farid
- Research Center for Nuclear Medicine, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Emran Askari
- Department of Nuclear Medicine, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Isaac Shiri
- Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, Geneva, Switzerland
| | - Christian Pirich
- Division of Molecular Imaging and Theranostics, Department of Nuclear Medicine, University Hospital Salzburg, Paracelsus Medical University, Salzburg, Austria
| | - Mahboobeh Asadi
- Research Center for Nuclear Medicine, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Maziar Khateri
- Research Center for Nuclear Medicine, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Habib Zaidi
- Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, Geneva, Switzerland; Geneva University Neurocenter, Geneva University, Geneva, Switzerland; Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands; Department of Nuclear Medicine, University of Southern Denmark, Odense, Denmark
| | - Mohsen Beheshti
- Division of Molecular Imaging and Theranostics, Department of Nuclear Medicine, University Hospital Salzburg, Paracelsus Medical University, Salzburg, Austria.
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