Prediction of outcome in head-and-neck cancer patients using the standardized uptake value of 2-[18f]fluoro-2-deoxy-d-glucose

Allal, Abdelkarim Said; Slosman, Daniel O.; Kebdani, Tayeb; Allaoua, Mohamed; Lehmann, Willy; Dulguerov, Pavel

doi:10.1016/j.ijrobp.2003.12.039

Cited by 252 publications

(158 citation statements)

References 20 publications

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“…Furthermore, many recent studies have focused on the risk stratification of HNSCC using biologic parameters such as SUV and MTV assessed by FDG PET/CT. Several studies have shown that patients with HNSCC who had high SUV max were associated with worse local control and poor survival rates, and should be considered for a more aggressive treatment approach [6][7][8][9]. Allal et al [7] and Roh et al [8] found that high FDG uptake correlated with advanced pT and pN stages.…”

Section: Discussionmentioning

confidence: 99%

“…Several studies have shown that patients with HNSCC who had high SUV max were associated with worse local control and poor survival rates, and should be considered for a more aggressive treatment approach [6][7][8][9]. Allal et al [7] and Roh et al [8] found that high FDG uptake correlated with advanced pT and pN stages. However, in several studies, the SUV max of primary tumor or all lesions, including regional metastatic lymph nodes, was not confirmed as a significant factor predicting clinical outcome in the patients with HNSCC undergoing radiation therapy with or without chemotherapy [11][12][13][26][27][28].…”

Section: Discussionmentioning

confidence: 99%

“…In the past, a few authors have suggested that the degree of FDG uptake quantified as maximum standardized uptake value (SUV max ) is an independent factor predicting clinical outcome after treatment in HNSCC. These articles indicated that higher SUV of the primary tumor predicts a poorer clinical outcome [6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

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Prognostic Value of Metabolic Tumor Volume Measured by 18F-FDG PET/CT in Locally Advanced Head and Neck Squamous Cell Carcinomas Treated by Surgery

Choi

Yoo

Han

et al. 2010

Nucl Med Mol Imaging

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Purpose We assessed the prognostic value of metabolic tumor volume (MTV) measured using 18 F-fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) inpatients with locally advanced head and neck squamous cell carcinoma (HNSCC). Methods We retrospectively reviewed 56 patients (51 men, five women; mean age 56.0±8.8years) who had locally advanced HNSCC and underwent FDG PET/CT for initial evaluation. All patients had surgical resection and radiotherapy with or without concurrent chemotherapy. The peak standardized uptake value (SUV peak ) and MTV of the target lesion, including primary HNSCC andmetastatic cervical lymph nodes, were measured from FDG PET/CT images. We compared SUV peak , MTV, and clinicopathologic variables such as age, Eastern Cooperative Oncology Group (ECOG) performance status, pN stage, pT stage, TNM stage, histologic grade and treatment modality to disease-free survival (DFS) and overall survival (OS). Results On the initial FDG PET/CT scans, the median SUV peak was 7.8 (range, 1.8-19.0) and MTV was17.0 cm 3 (range, 0.1-131.0 cm 3 ). The estimated 2-year DFS and OS rates were 67.2% and 81.8%. The cutoff points of SUV peak 6.2 and MTV 20.7 cm 3 were the best discriminative values for predicting clinical outcome. MTV and ECOG performance status were significantly related to DFS and OS on univariate and multivariate analyses (p<0.05). Conclusion The MTV obtained from initial FDG PET/CT scan is a significant prognostic factor for disease recurrence and mortality in locally advanced HNSCC treated with surgery and radiotherapy with or without chemotherapy.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Prognostic Value of Metabolic Tumor Volume Measured by 18F-FDG PET/CT in Locally Advanced Head and Neck Squamous Cell Carcinomas Treated by Surgery

Choi

Yoo

Han

et al. 2010

Nucl Med Mol Imaging

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“…Some studies have demonstrated the ability of MTV to quantify heterogeneity of PET uptake in the detection of pelvic lymph nodes in cervical cancer17, 18 as well as in the association with treatment response within the same site 19. Other studies focused on investigating the performance of SUV to predict for survival endpoints or treatment outcomes of cervical cancer, and head‐and‐neck tumors 20. However, relying solely on semiquantitative measurements, SUV or MTV, as biomarkers have been shown to run into several pitfalls.…”

Section: Introductionmentioning

confidence: 99%

Reproducibility of F18‐FDG PET radiomic features for different cervical tumor segmentation methods, gray‐level discretization, and reconstruction algorithms

Altazi

Zhang

Fernandez

et al. 2017

J Applied Clin Med Phys

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Site‐specific investigations of the role of radiomics in cancer diagnosis and therapy are emerging. We evaluated the reproducibility of radiomic features extracted from 18Flourine–fluorodeoxyglucose (18F‐FDG) PET images for three parameters: manual versus computer‐aided segmentation methods, gray‐level discretization, and PET image reconstruction algorithms. Our cohort consisted of pretreatment PET/CT scans from 88 cervical cancer patients. Two board‐certified radiation oncologists manually segmented the metabolic tumor volume (MTV1 and MTV2) for each patient. For comparison, we used a graphical‐based method to generate semiautomated segmented volumes (GBSV). To address any perturbations in radiomic feature values, we down‐sampled the tumor volumes into three gray‐levels: 32, 64, and 128 from the original gray‐level of 256. Finally, we analyzed the effect on radiomic features on PET images of eight patients due to four PET 3D‐reconstruction algorithms: maximum likelihood‐ordered subset expectation maximization (OSEM) iterative reconstruction (IR) method, fourier rebinning‐ML‐OSEM (FOREIR), FORE‐filtered back projection (FOREFBP), and 3D‐Reprojection (3DRP) analytical method. We extracted 79 features from all segmentation method, gray‐levels of down‐sampled volumes, and PET reconstruction algorithms. The features were extracted using gray‐level co‐occurrence matrices (GLCM), gray‐level size zone matrices (GLSZM), gray‐level run‐length matrices (GLRLM), neighborhood gray‐tone difference matrices (NGTDM), shape‐based features (SF), and intensity histogram features (IHF). We computed the Dice coefficient between each MTV and GBSV to measure segmentation accuracy. Coefficient values close to one indicate high agreement, and values close to zero indicate low agreement. We evaluated the effect on radiomic features by calculating the mean percentage differences (d¯) between feature values measured from each pair of parameter elements (i.e. segmentation methods: MTV1‐MTV2, MTV1‐GBSV, MTV2‐GBSV; gray‐levels: 64‐32, 64‐128, and 64‐256; reconstruction algorithms: OSEM‐FORE‐OSEM, OSEM‐FOREFBP, and OSEM‐3DRP). We used false|normald¯false| as a measure of radiomic feature reproducibility level, where any feature scored false|normald¯false| ±SD ≤ |25|% ± 35% was considered reproducible. We used Bland–Altman analysis to evaluate the mean, standard deviation (SD), and upper/lower reproducibility limits (U/LRL) for radiomic features in response to variation in each testing parameter. Furthermore, we proposed U/LRL as a method to classify the level of reproducibility: High— ±1% ≤ U/LRL ≤ ±30%; Intermediate— ±30% < U/LRL ≤ ±45%; Low— ±45 < U/LRL ≤ ±50%. We considered any feature below the low level as nonreproducible (NR). Finally, we calculated the interclass correlation coefficient (ICC) to evaluate the reliability of radiomic feature measurements for each parameter. The segmented volumes of 65 patients (81.3%) scored Dice coefficient >0.75 for all three volumes. The result outcomes revealed a tendency of higher radiomic fe...

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“…One possible explanation is that tumor cells within the gross tumor may be more resistant to RT due to biological factors such as hypoxia [6]. FDG-PET uptake may be a surrogate for hypoxia and it has been shown to predict treatment response and loco regional failure (LRF) [7][8][9]. In addition, FDG-PET defined tumor volumes have been reported to be smaller than CT defined ones [10][11][12][13][14][15] and several others have suggested PET alone based methods to define the GTV.…”

Section: Introductionmentioning

confidence: 99%

Correlation between pretreatment FDG-PET biological target volume and anatomical location of failure after radiation therapy for head and neck cancers

Soto¹,

Kessler²,

Piert³

et al. 2008

Radiotherapy and Oncology

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Prediction of outcome in head-and-neck cancer patients using the standardized uptake value of 2-[18f]fluoro-2-deoxy-d-glucose

Cited by 252 publications

References 20 publications

Prognostic Value of Metabolic Tumor Volume Measured by 18F-FDG PET/CT in Locally Advanced Head and Neck Squamous Cell Carcinomas Treated by Surgery

Prognostic Value of Metabolic Tumor Volume Measured by 18F-FDG PET/CT in Locally Advanced Head and Neck Squamous Cell Carcinomas Treated by Surgery

Reproducibility of F18‐FDG PET radiomic features for different cervical tumor segmentation methods, gray‐level discretization, and reconstruction algorithms

Correlation between pretreatment FDG-PET biological target volume and anatomical location of failure after radiation therapy for head and neck cancers

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