Partial-Volume Effect in PET Tumor Imaging

Soret, Marine; Bacharach, Stephen L.; Buvat, Irène

doi:10.2967/jnumed.106.035774

Cited by 1,312 publications

(1,013 citation statements)

References 39 publications

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“…The explanation for our result is that all primary tumors in the present study were >2.8 cm in size and the partial volume averaging effect would be minimal for primary tumor FDG uptake. It has generally been accepted that FDG uptake is underestimated because of the partial volume averaging effect of small-sized tumors <2 cm on PET/CT [44]. Kim et al [31] also reported a poor correlation between tumor size and FDG uptake in patients with advanced gastric cancer.…”

Section: Discussionmentioning

confidence: 99%

Correlation of Primary Tumor FDG Uptake with Histopathologic Features of Advanced Gastric Cancer

Kim

Won

Song

et al. 2015

Nucl Med Mol Imaging

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Purpose Histopathologic features could affect the FDG uptake of primary gastric cancer and detection rate on FDG PET/CT. The aim of this study was to evaluate the FDG uptake of primary gastric cancer by correlating it with the histopathologic features of the tumors. Methods Fifty patients with locally advanced gastric adenocarcinoma who were referred for preoperative FDG-PET/CT scans were enrolled in this study. The detection rate of PET/ CT and maximum standardized uptake values (SUV max ) of the primary tumor were compared using the WHO, Lauren, Ming and Borrmann classifications and tumor size and location. Results In 45 of the 50 patients (90 %), the primary gastric tumors were detected by FDG PET/CT. On comparison using the WHO classification, the detection rate and SUV max of the tubular type were significantly higher than those of the poorly cohesive type. On comparison using the Lauren and Ming classifications, the SUV max s of the intestinal type and expanding type were significantly higher than those of the diffuse and infiltrative type, respectively. On comparison using the Borrmann classification and tumor size and location, there was no significant difference in the detection rate and SUV max of primary gastric tumors. Conclusion This study demonstrates that the poorly cohesive type according to the WHO classification, diffuse type according to the Lauren classification and infiltrative type according to the Ming classification have low FDG uptake in patients with locally advanced gastric carcinoma. Understanding the relationship between primary tumor FDG uptake and histopathologic features would be helpful in detecting the primary tumor by FDG PET/CT in patients with gastric cancer.

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Section: Discussionmentioning

confidence: 99%

Correlation of Primary Tumor FDG Uptake with Histopathologic Features of Advanced Gastric Cancer

Kim

Won

Song

et al. 2015

Nucl Med Mol Imaging

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“…Intuitively, since the images show a marked difference between the normal and abnormal glycolytic functions, thresholding was one of the easier methods to adopt and implement, 22 , 23 , 24 , 25 provided it is optimized for the specific scanner. Since we were delineating small tumors, fixed threshold was not an ideal option, given its own limitations (26) . Since this data‐driven adaptive threshold method is based on the simple principle that the required threshold for segmentation is inversely proportional to T/B, it is easily understood by an average clinical user than achieving an intuitive understanding of the mathematical models for clinical implementation.…”

Section: Discussionmentioning

confidence: 99%

“…The low signal‐to‐noise ratio (SNR) increases the uncertainty in observed SUV value, which, in turn, increases the width of the Gaussian curve. Thus, the image of the container or tumor appears bigger than its actual size (26) . To obtain the true volume of the container or tumor during the segmentation process, a smaller volume compared to the visible volume of the image needs to be marked, which is done by using a higher threshold.…”

Section: Discussionmentioning

confidence: 99%

Adaptive threshold segmentation of pituitary adenomas from FDG PET images for radiosurgery

Hecking

Devadhas

Heck

et al. 2014

J Applied Clin Med Phys

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In this study we have attempted to optimize a PET based adaptive threshold segmentation method for delineating small tumors, particularly in a background of high tracer activity. The metabolic nature of pituitary adenomas and the constraints of MRI imaging in the postoperative setting to delineate these tumors during radiosurgical procedures motivated us to develop this method. Phantom experiments were done to establish a relationship between the threshold required for segmenting the PET images and the target size and the activity concentration within the target in relation to its background. The threshold was developed from multiple linear regression of the experimental data optimized for tumor sizes less than 4 cm3. We validated our method against the phantom target volumes with measured target to background ratios ranging from 1.6 to 14.58. The method was tested on ten retrospective patients with residual growth hormone‐secreting pituitary adenomas that underwent radiosurgery and compared against the volumes delineated by manual method. The predicted volumes against the true volume of the phantom inserts gave a correlation coefficient of 99% (p<0.01). In the ten retrospective patients, the automatically segmented tumor volumes against volumes manually delineated by the clinicians had a correlation of 94% (p<0.01). This adaptive threshold segmentation showed promising results in delineating tumor volumes in pituitary adenomas planned for stereotactic radiosurgery, particularly in the postoperative setting where MR and CT images may be associated with artifacts, provided optimization experiment is carried out.PACS number: 87.57.nm, 87.57.uk

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“…The most sophisticated PVC strategies rely on an adjunct coregistered structural image in which MR imaging plays a pivotal role because of the better contrast between the gray and white matter compared with CT [7][8][9][10]. Now, however, the use of correlated anatomic information provided by the CT component of dual-modality imaging systems (eg, PET/CT) makes it possible to perform accurate PVC in other organs and tissues including cardiovascular [11], atherosclerotic [12], and whole-body oncologic imaging [13,14].…”

Section: P O S I T R O N E M I S S I O N T O M O G R a P H Y Pet Clinmentioning

confidence: 99%

“…This method could be extended easily for use in cardiovascular PET imaging but would be challenging to apply in tumor imaging because of the difficulties in delineating accurately the metabolically active parts of a tumor (eg, in lesions with wholly or partially necrotic centers) using structural imaging [14].…”

Section: Clinical and Research Applications Of Partial Volume Correctionmentioning

confidence: 99%

Partial Volume Correction Strategies in PET

et al. 2007

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Partial-Volume Effect in PET Tumor Imaging

Cited by 1,312 publications

References 39 publications

Correlation of Primary Tumor FDG Uptake with Histopathologic Features of Advanced Gastric Cancer

Correlation of Primary Tumor FDG Uptake with Histopathologic Features of Advanced Gastric Cancer

Adaptive threshold segmentation of pituitary adenomas from FDG PET images for radiosurgery

Partial Volume Correction Strategies in PET

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