Comparison of 18F-Fluorothymidine and 18F-Fluorodeoxyglucose PET/CT in Delineating Gross Tumor Volume by Optimal Threshold in Patients With Squamous Cell Carcinoma of Thoracic Esophagus

Han, Dan; J, Yu; Yu, Yang; Zhang, Guifang; Zhong, Xu; Liu, Jie; Yin, Yong; Fu, Zheng; Mu, Dianbin; Zhang, Baijiang; He, Wei; Huo, Zongwei; Liu, Xijun; Kong, Lei; Zhao, Shuqiang; Sun, Xiangyu

doi:10.1016/j.ijrobp.2009.07.1681

Cited by 65 publications

(61 citation statements)

References 13 publications

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“…When imaging parameters are varied, larger differences in SUV test-retest variability were seen for 18 F-FLT than for 18 F-FDG, probably because of the lower SUV for 18 F-FLT. Previously, in a comparative study, it was shown that mean maximal SUV in all lesions was lower for 18 F-FLT than for 18 F-FDG (20).…”

Section: Discussionmentioning

confidence: 85%

Effects of Image Characteristics on Performance of Tumor Delineation Methods: A Test–Retest Assessment

Cheebsumon¹,

Velden²,

Yaqub³

et al. 2011

J Nucl Med

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PET can be used to monitor response during chemotherapy and assess biologic target volumes for radiotherapy. Previous simulation studies have shown that the performance of various automatic or semiautomatic tumor delineation methods depends on image characteristics. The purpose of this study was to assess test-retest variability of tumor delineation methods, with emphasis on the effects of several image characteristics (e.g., resolution and contrast). Methods: Baseline test-retest data from 19 non-small cell lung cancer patients were obtained using 18 F-FDG (n 5 10) and 39-deoxy-39-18 F-fluorothymidine ( 18 F-FLT) (n 5 9). Images were reconstructed with varying spatial resolution and contrast. Six different types of tumor delineation methods, based on various thresholds or on a gradient, were applied to all datasets. Test-retest variability of metabolic volume and standardized uptake value (SUV) was determined. Results: For both tracers, size of metabolic volume and testretest variability of both metabolic volume and SUV were affected by the image characteristics and tumor delineation method used. The median volume test-retest variability ranged from 8.3% to 23% and from 7.4% to 29% for 18 F-FDG and 18 F-FLT, respectively. For all image characteristics studied, larger differences (#10-fold higher) were seen in test-retest variability of metabolic volume than in SUV. Conclusion: Test-retest variability of both metabolic volume and SUV varied with tumor delineation method, radiotracer, and image characteristics. The results indicate that a careful optimization of imaging and delineation method parameters is needed when metabolic volume is used, for example, as a response assessment parameter.

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Section: Discussionmentioning

confidence: 85%

Effects of Image Characteristics on Performance of Tumor Delineation Methods: A Test–Retest Assessment

Cheebsumon¹,

Velden²,

Yaqub³

et al. 2011

J Nucl Med

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“…18 F-FDG uptake in locoregional lymph node metastases was significantly higher than 18 18 F-FLT also better delineated gross tumor volume for radiation treatment planning, with improved sparing of the lungs and heart (45). In another study, on 10 patients with biopsy-proven esophageal and gastroesophageal cancer, 18 F-FDG PET was able to detect all esophageal cancers whereas 18 F-FLT PET visualized the tumor in only 8 of the 10 patients.…”

Section: Gastrointestinal Cancersmentioning

confidence: 94%

PET Imaging of Proliferation with Pyrimidines

Tehrani

Shields

2013

J Nucl Med

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“…Zaidi et al [50] used the Louvain LSCC data set [25] to compare the performance of nine algorithms including five threshold methods, a level set method, a stochastic expectationmaximization method, fuzzy clustering-based segmentation (FCM) and a spatial wavelet-based FCM (FCM-SW) and found FCM-SW to be most accurate. Markel et al [51] also used the Louvain LSCC data set [25] to evaluate a Fixed thresholds (SUV and % of maximum) [38,39,40] Adaptive threshold (signal-to-background ratio based) [25,46,50,52] Gradient [39,47] Fuzzy C-means [48,50] Active contours [49,50] Possibility theory [53] Multimodality using level sets [51] Esophagus Fixed threshold (SUV and % of maximum) [41,42] Visual [41,42] Non-small-cell lung cancer (NSCLC)…”

Section: Evaluation Of Pet Segmentation Methodsmentioning

confidence: 99%

“…Han et al [42] segmented their FLT PET images using visual delineation and several thresholds (SUV cutoffs of 1.3, 1.4, 1.5, and taking 20, 25 and 30 % of the SUV max ). For their FDG PET image segmentation they used: visual delineation, SUV 2.5, and 40 % of SUV max .…”

Section: Evaluation Of Pet Segmentation Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Pathology-validated PET image data sets and their role in PET segmentation

Kirov

Fanchon

2014

Clin Transl Imaging

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Positron emission tomography (PET)/computed tomography has recently been finding broader application for the diagnosis, treatment and therapy assessment of malignant disease. Accurate definition of the tumor border is extremely important for the success of localized tumor therapies. PET promises to provide the metabolically active tumor volume and, at present, it is used for target definition in a variety of tumors. This process is, however, subject to uncertainties of different origin. Resolving these uncertainties is challenging, since validating PET images and segmentation contours against tumor pathology is experimentally difficult. In addition to accurate lesion contouring, this challenges validation of PET tracers and investigations of tumor functional heterogeneity. In this paper, we briefly review the present studies providing PET image data sets with pathology validation. We focus on the specimen handling techniques aimed at achieving higher geometrical accuracy of the pathology-derived ''ground truth''. We also summarize the main findings obtained for the PET segmentation techniques which have been tested with the help of these data sets. Finally, we provide a critical summary of the current state of the art in pathological validation of PET images and briefly discuss future possibilities in this direction.

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Comparison of 18F-Fluorothymidine and 18F-Fluorodeoxyglucose PET/CT in Delineating Gross Tumor Volume by Optimal Threshold in Patients With Squamous Cell Carcinoma of Thoracic Esophagus

Cited by 65 publications

References 13 publications

Effects of Image Characteristics on Performance of Tumor Delineation Methods: A Test–Retest Assessment

Effects of Image Characteristics on Performance of Tumor Delineation Methods: A Test–Retest Assessment

PET Imaging of Proliferation with Pyrimidines

Pathology-validated PET image data sets and their role in PET segmentation

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