Cargando…
(18)F-FDG Pet Parameters and Radiomics Features Analysis in Advanced Nsclc Treated with Immunotherapy as Predictors of Therapy Response and Survival
Objectives: (1.1) to evaluate the association between baseline 18F-FDG PET/CT semi-quantitative parameters of the primary lesion with progression free survival (PFS), overall survival (OS) and response to immunotherapy, in advanced non-small cell lung carcinoma (NSCLC) patients eligible for immunoth...
Autores principales: | , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7281558/ https://www.ncbi.nlm.nih.gov/pubmed/32380754 http://dx.doi.org/10.3390/cancers12051163 |
_version_ | 1783543948542738432 |
---|---|
author | Polverari, Giulia Ceci, Francesco Bertaglia, Valentina Reale, Maria Lucia Rampado, Osvaldo Gallio, Elena Passera, Roberto Liberini, Virginia Scapoli, Paola Arena, Vincenzo Racca, Manuela Veltri, Andrea Novello, Silvia Deandreis, Désirée |
author_facet | Polverari, Giulia Ceci, Francesco Bertaglia, Valentina Reale, Maria Lucia Rampado, Osvaldo Gallio, Elena Passera, Roberto Liberini, Virginia Scapoli, Paola Arena, Vincenzo Racca, Manuela Veltri, Andrea Novello, Silvia Deandreis, Désirée |
author_sort | Polverari, Giulia |
collection | PubMed |
description | Objectives: (1.1) to evaluate the association between baseline 18F-FDG PET/CT semi-quantitative parameters of the primary lesion with progression free survival (PFS), overall survival (OS) and response to immunotherapy, in advanced non-small cell lung carcinoma (NSCLC) patients eligible for immunotherapy; (1.2) to evaluate the application of radiomics analysis of the primary lesion to identify features predictive of response to immunotherapy; (1.3) to evaluate if tumor burden assessed by 18F-FDG PET/CT (N and M factors) is associated with PFS and OS. Materials and Methods: we retrospectively analyzed clinical records of advanced NCSLC patients (stage IIIb/c or stage IV) candidate to immunotherapy who performed 18F-FDG PET/CT before treatment to stage the disease. Fifty-seven (57) patients were included in the analysis (F:M 17:40; median age = 69 years old). Notably, 38/57 of patients had adenocarcinoma (AC), 10/57 squamous cell carcinoma (SCC) and 9/57 were not otherwise specified (NOS). Overall, 47.4% patients were stage IVA, 42.1% IVB and 8.8% IIIB. Immunotherapy was performed as front-line therapy in 42/57 patients and as second line therapy after chemotherapy platinum-based in 15/57. The median follow up after starting immunotherapy was 10 months (range: 1.5–68.6). Therapy response was assessed by RECIST 1.1 criteria (CT evaluation every 4 cycles of therapy) in 48/57 patients or when not feasible by clinical and laboratory data (fast disease progression or worsening of patient clinical condition in nine patients). Radiomics analysis was performed by applying regions of interest (ROIs) of the primary tumor delineated manually by two operators and semi-automatically applying a threshold at 40% of SUVmax. Results: (1.1) metabolic tumor volume (MTV) (p = 0.028) and total lesion glycolysis (TLG) (p = 0.035) were significantly associated with progressive vs. non-progressive disease status. Patients with higher values of MTV and TLG had higher probability of disease progression, compared to those patients presenting with lower values. SUVmax did not show correlation with PD status, PFS and OS. MTV (p = 0.027) and TLG (p = 0.022) also resulted in being significantly different among PR, SD and PD groups, while SUVmax was confirmed to not be associated with response to therapy (p = 0.427). (1.2) We observed the association of several radiomics features with PD status. Namely, patients with high tumor volume, TLG and heterogeneity expressed by “skewness” and “kurtosis” had a higher probability of failing immunotherapy. (1.3) M status at 18F-FDG PET/CT was significantly associated with PFS (p = 0.002) and OS (p = 0.049). No significant associations were observed for N status. Conclusions: 18F-FDG PET/CT performed before the start of immunotherapy might be an important prognostic tool able to predict the disease progression and response to immunotherapy in patients with advanced NSCLC, since MTV, TLG and radiomics features (volume and heterogeneity) are associated with disease progression. |
format | Online Article Text |
id | pubmed-7281558 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-72815582020-06-17 (18)F-FDG Pet Parameters and Radiomics Features Analysis in Advanced Nsclc Treated with Immunotherapy as Predictors of Therapy Response and Survival Polverari, Giulia Ceci, Francesco Bertaglia, Valentina Reale, Maria Lucia Rampado, Osvaldo Gallio, Elena Passera, Roberto Liberini, Virginia Scapoli, Paola Arena, Vincenzo Racca, Manuela Veltri, Andrea Novello, Silvia Deandreis, Désirée Cancers (Basel) Article Objectives: (1.1) to evaluate the association between baseline 18F-FDG PET/CT semi-quantitative parameters of the primary lesion with progression free survival (PFS), overall survival (OS) and response to immunotherapy, in advanced non-small cell lung carcinoma (NSCLC) patients eligible for immunotherapy; (1.2) to evaluate the application of radiomics analysis of the primary lesion to identify features predictive of response to immunotherapy; (1.3) to evaluate if tumor burden assessed by 18F-FDG PET/CT (N and M factors) is associated with PFS and OS. Materials and Methods: we retrospectively analyzed clinical records of advanced NCSLC patients (stage IIIb/c or stage IV) candidate to immunotherapy who performed 18F-FDG PET/CT before treatment to stage the disease. Fifty-seven (57) patients were included in the analysis (F:M 17:40; median age = 69 years old). Notably, 38/57 of patients had adenocarcinoma (AC), 10/57 squamous cell carcinoma (SCC) and 9/57 were not otherwise specified (NOS). Overall, 47.4% patients were stage IVA, 42.1% IVB and 8.8% IIIB. Immunotherapy was performed as front-line therapy in 42/57 patients and as second line therapy after chemotherapy platinum-based in 15/57. The median follow up after starting immunotherapy was 10 months (range: 1.5–68.6). Therapy response was assessed by RECIST 1.1 criteria (CT evaluation every 4 cycles of therapy) in 48/57 patients or when not feasible by clinical and laboratory data (fast disease progression or worsening of patient clinical condition in nine patients). Radiomics analysis was performed by applying regions of interest (ROIs) of the primary tumor delineated manually by two operators and semi-automatically applying a threshold at 40% of SUVmax. Results: (1.1) metabolic tumor volume (MTV) (p = 0.028) and total lesion glycolysis (TLG) (p = 0.035) were significantly associated with progressive vs. non-progressive disease status. Patients with higher values of MTV and TLG had higher probability of disease progression, compared to those patients presenting with lower values. SUVmax did not show correlation with PD status, PFS and OS. MTV (p = 0.027) and TLG (p = 0.022) also resulted in being significantly different among PR, SD and PD groups, while SUVmax was confirmed to not be associated with response to therapy (p = 0.427). (1.2) We observed the association of several radiomics features with PD status. Namely, patients with high tumor volume, TLG and heterogeneity expressed by “skewness” and “kurtosis” had a higher probability of failing immunotherapy. (1.3) M status at 18F-FDG PET/CT was significantly associated with PFS (p = 0.002) and OS (p = 0.049). No significant associations were observed for N status. Conclusions: 18F-FDG PET/CT performed before the start of immunotherapy might be an important prognostic tool able to predict the disease progression and response to immunotherapy in patients with advanced NSCLC, since MTV, TLG and radiomics features (volume and heterogeneity) are associated with disease progression. MDPI 2020-05-05 /pmc/articles/PMC7281558/ /pubmed/32380754 http://dx.doi.org/10.3390/cancers12051163 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Polverari, Giulia Ceci, Francesco Bertaglia, Valentina Reale, Maria Lucia Rampado, Osvaldo Gallio, Elena Passera, Roberto Liberini, Virginia Scapoli, Paola Arena, Vincenzo Racca, Manuela Veltri, Andrea Novello, Silvia Deandreis, Désirée (18)F-FDG Pet Parameters and Radiomics Features Analysis in Advanced Nsclc Treated with Immunotherapy as Predictors of Therapy Response and Survival |
title | (18)F-FDG Pet Parameters and Radiomics Features Analysis in Advanced Nsclc Treated with Immunotherapy as Predictors of Therapy Response and Survival |
title_full | (18)F-FDG Pet Parameters and Radiomics Features Analysis in Advanced Nsclc Treated with Immunotherapy as Predictors of Therapy Response and Survival |
title_fullStr | (18)F-FDG Pet Parameters and Radiomics Features Analysis in Advanced Nsclc Treated with Immunotherapy as Predictors of Therapy Response and Survival |
title_full_unstemmed | (18)F-FDG Pet Parameters and Radiomics Features Analysis in Advanced Nsclc Treated with Immunotherapy as Predictors of Therapy Response and Survival |
title_short | (18)F-FDG Pet Parameters and Radiomics Features Analysis in Advanced Nsclc Treated with Immunotherapy as Predictors of Therapy Response and Survival |
title_sort | (18)f-fdg pet parameters and radiomics features analysis in advanced nsclc treated with immunotherapy as predictors of therapy response and survival |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7281558/ https://www.ncbi.nlm.nih.gov/pubmed/32380754 http://dx.doi.org/10.3390/cancers12051163 |
work_keys_str_mv | AT polverarigiulia 18ffdgpetparametersandradiomicsfeaturesanalysisinadvancednsclctreatedwithimmunotherapyaspredictorsoftherapyresponseandsurvival AT cecifrancesco 18ffdgpetparametersandradiomicsfeaturesanalysisinadvancednsclctreatedwithimmunotherapyaspredictorsoftherapyresponseandsurvival AT bertagliavalentina 18ffdgpetparametersandradiomicsfeaturesanalysisinadvancednsclctreatedwithimmunotherapyaspredictorsoftherapyresponseandsurvival AT realemarialucia 18ffdgpetparametersandradiomicsfeaturesanalysisinadvancednsclctreatedwithimmunotherapyaspredictorsoftherapyresponseandsurvival AT rampadoosvaldo 18ffdgpetparametersandradiomicsfeaturesanalysisinadvancednsclctreatedwithimmunotherapyaspredictorsoftherapyresponseandsurvival AT gallioelena 18ffdgpetparametersandradiomicsfeaturesanalysisinadvancednsclctreatedwithimmunotherapyaspredictorsoftherapyresponseandsurvival AT passeraroberto 18ffdgpetparametersandradiomicsfeaturesanalysisinadvancednsclctreatedwithimmunotherapyaspredictorsoftherapyresponseandsurvival AT liberinivirginia 18ffdgpetparametersandradiomicsfeaturesanalysisinadvancednsclctreatedwithimmunotherapyaspredictorsoftherapyresponseandsurvival AT scapolipaola 18ffdgpetparametersandradiomicsfeaturesanalysisinadvancednsclctreatedwithimmunotherapyaspredictorsoftherapyresponseandsurvival AT arenavincenzo 18ffdgpetparametersandradiomicsfeaturesanalysisinadvancednsclctreatedwithimmunotherapyaspredictorsoftherapyresponseandsurvival AT raccamanuela 18ffdgpetparametersandradiomicsfeaturesanalysisinadvancednsclctreatedwithimmunotherapyaspredictorsoftherapyresponseandsurvival AT veltriandrea 18ffdgpetparametersandradiomicsfeaturesanalysisinadvancednsclctreatedwithimmunotherapyaspredictorsoftherapyresponseandsurvival AT novellosilvia 18ffdgpetparametersandradiomicsfeaturesanalysisinadvancednsclctreatedwithimmunotherapyaspredictorsoftherapyresponseandsurvival AT deandreisdesiree 18ffdgpetparametersandradiomicsfeaturesanalysisinadvancednsclctreatedwithimmunotherapyaspredictorsoftherapyresponseandsurvival |