FDG-PET maximum standardized uptake value is prognostic for recurrence and survival after stereotactic body radiotherapy for non-small cell lung cancer
Abstract:Objectives
Glucose metabolic activity measured by [18F]-fluoro-2-deoxy-glucose positron emission tomography (FDG-PET) has shown prognostic value in multiple malignancies, but results are often confounded by the inclusion of patients with various disease stages and undergoing various therapies. This study was designed to evaluate the prognostic value of tumor FDG uptake quantified by maximum standardized uptake value (SUVmax) in a large group of early-stage non-small cell lung cancer (NSCLC) patients treated wi… Show more
“…Pre‐treatment maximum SUV ≥ 4.1 was the lone predictor of PD in our series, based on both multivariate and univariate analysis. Most studies use a maximum SUV > 2.5 as the threshold for malignancy, and prognostic thresholds are 3–3.5 …”
BackgroundThere is emerging reliance on clinical imaging for the diagnosis, prognosis, and treatment evaluation of early stage non‐small cell lung cancer (NSCLC) in patients deemed too high risk for biopsy. We report our experience of clinically diagnosed NSCLC treated empirically with stereotactic body radiotherapy (SBRT) to validate the imaging parameters used for management in this high‐risk population.MethodsWe reviewed 101 empiric lung SBRT cases and profiled imaging specifics of computed tomography and positron emission tomography for diagnosis and follow‐up. Secondarily, we identified potential correlates of disease progression with Cox regression multivariate analysis.ResultsFifty‐seven men and 43 women aged 45–94 (median 76) were treated with a median dose of 48 Gy in four fractions. The median nodule diameter was 1.6 cm (0.6–4.5 cm) and most were spiculated (n = 58), right‐sided (n = 63), and in the upper lobe (n = 68). Median follow‐up and survival rates were 14 and 28 months, respectively. Local control at three years was 94%. Freedom from any progression at one and three years was 85% and 69%, respectively. Toxicity ≥ grade 3 included two grade 3 dyspneas. A pre‐treatment standard uptake value > 4.1 was the only significant predictor of disease progression.ConclusionThis study illustrates the instrumental role of modern clinical imaging for the effective management of presumed early stage NSCLC treated with empiric lung SBRT. As lung SBRT without tissue confirmation becomes more common, hopefully these assertions can be prospectively validated.
“…Pre‐treatment maximum SUV ≥ 4.1 was the lone predictor of PD in our series, based on both multivariate and univariate analysis. Most studies use a maximum SUV > 2.5 as the threshold for malignancy, and prognostic thresholds are 3–3.5 …”
BackgroundThere is emerging reliance on clinical imaging for the diagnosis, prognosis, and treatment evaluation of early stage non‐small cell lung cancer (NSCLC) in patients deemed too high risk for biopsy. We report our experience of clinically diagnosed NSCLC treated empirically with stereotactic body radiotherapy (SBRT) to validate the imaging parameters used for management in this high‐risk population.MethodsWe reviewed 101 empiric lung SBRT cases and profiled imaging specifics of computed tomography and positron emission tomography for diagnosis and follow‐up. Secondarily, we identified potential correlates of disease progression with Cox regression multivariate analysis.ResultsFifty‐seven men and 43 women aged 45–94 (median 76) were treated with a median dose of 48 Gy in four fractions. The median nodule diameter was 1.6 cm (0.6–4.5 cm) and most were spiculated (n = 58), right‐sided (n = 63), and in the upper lobe (n = 68). Median follow‐up and survival rates were 14 and 28 months, respectively. Local control at three years was 94%. Freedom from any progression at one and three years was 85% and 69%, respectively. Toxicity ≥ grade 3 included two grade 3 dyspneas. A pre‐treatment standard uptake value > 4.1 was the only significant predictor of disease progression.ConclusionThis study illustrates the instrumental role of modern clinical imaging for the effective management of presumed early stage NSCLC treated with empiric lung SBRT. As lung SBRT without tissue confirmation becomes more common, hopefully these assertions can be prospectively validated.
“…However, the cut-off was difficult to determine. Several studies suggested that a bed cut-off of approximately 100 is significantly correlated with patient outcome 17,[19][20][21][22]26 ; however, other studies, including the meta-regression by Zhang et al, did not show that association 18,24,25,27,29 .…”
Section: Key Evidencementioning
confidence: 98%
“…Twelve retrospective observational studies investigated the most appropriate bed cut-off in association with patient outcomes [17][18][19][20][21][22][23][24][25][26][27][28] . Again, the studies were considered to be very low quality because of their retrospective design.…”
Section: Key Evidencementioning
confidence: 99%
“…Although variability in the results with the use of a bed cut-off of approximately 100 was evident, the largest studies suggested that a bed close to 100 was associated with os and local control 17,[19][20][21][22]26 . The dsg believed that recommending a minimal bed threshold would maximize the beneficial outcomes associated with sbrt without increasing harm.…”
Section: Interpretation Of the Evidencementioning
confidence: 99%
“…The dsg believed that recommending a minimal bed threshold would maximize the beneficial outcomes associated with sbrt without increasing harm. They chose to use 100 as the bed threshold because most of the larger cohort studies found an association of patient outcomes with bed cut-offs of 100, 105, and 106 17,[19][20][21][22]26 . The dsg selected the lowest value because the Zhang meta-analysis found that, compared with lower values, medium values between 83.2 and 106 were associated with significantly better survival 29 .…”
Objectives For this guideline, we investigated the effectiveness of radiotherapy with curative intent in medically inoperable patients with early-stage non-small-cell lung cancer (nsclc).
MethodsThe guideline was developed by Cancer Care Ontario's Program in Evidence-Based Care and by the Lung Cancer Disease Site Group through a systematic review of mainly retrospective studies, expert consensus, and formal internal and external reviews.
Recommendations■ Stereotactic body radiation therapy (sbrt) with curative intent is an option that should be considered for patients with early-stage, node-negative, medically inoperable nsclc.
Qualifying Statements
■Because of the high dose per fraction, the planning process and treatment delivery for sbrt require the use of advanced technology to maintain an appropriate level of safety. Consistent patient positioning and 4-dimensional analysis of tumour and critical structure motion during simulation and treatment delivery are essential.
■Preliminary results for proton-beam therapy have been promising, but the technique requires further clinical study.■ Recommended fractionation schemes for sbrt should result in a biologically effective dose of 100 or greater by the linear quadric model, choosing an α/β value of 10 [bed 10(LQ) ≥ 100].
Qualifying Statements
■Because of the increased risk of treatment-related adverse events associated with centrally located tumours, consideration of tumour size and proximity to critical central structures is required when determining the dose and fractionation.
■Examples of dose-fractionation schemes used in the included studies have been provided.
■Based on the current evidence and the opinion of the authors, radiation doses at bed 10(LQ) greater than 146 might significantly increase toxicity and should be avoided.
■Determination of the radiation bed by the linear quadratic model has limitations for the extreme hypofractionated schemes used in sbrt.
Objective: Texture analysis is one of the lung cancer countermeasures in the field of radiomics. Even though image quality affects texture features, the reproducibility of principal component analysis (PCA)-based data-driven respiratory gating (DDG) on texture features remains poorly understood. Hence, this study aimed to clarify the reproducibility of PCA-based DDG on texture features in non-small cell lung cancer (NSCLC) patients with 18 F-Fluorodeoxyglucose ( 18 F-FDG) Positron emission tomography/computed tomography (PET/CT). Methods: Twenty patients with NSCLC who underwent 18 F-FDG PET/CT in routine clinical practice were retrospectively analyzed. Each patient's PET data were reconstructed in two PET groups of no gating (NG-PET) and PCAbased DDG gating (DDG-PET). Forty-six image features were analyzed using LIFEx software. Reproducibility was evaluated using Lin's concordance correlation coefficient (𝜌 c ) and percentage difference (%Diff). Non-reproducibility was defined as having unacceptable strength (𝜌 c < 0.8) and a %Diff of >10%. NG-PET and DDG-PET were compared using the Wilcoxon signed-rank test. Results: A total of 3/46 (6.5%) image features had unacceptable strength, and 9/46 (19.6%) image features had a %Diff of >10%. Significant differences between the NG-PET and DDG-PET groups were confirmed in only 4/46 (8.7%) of the high %Diff image features.
Conclusion:Although the DDG application affected several texture features, most image features had adequate reproducibility. PCA-based DDG-PET can be routinely used as interchangeable images for texture feature extraction from NSCLC patients.
K E Y W O R D S18F-FDG, data-driven respiratory gating, image feature, non-small cell lung cancer, PET/CT, texture analysis, texture featureThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.