The Impact of a Bayesian Penalized Likelihood Reconstruction Algorithm on the Evaluation of Indeterminate Pulmonary Nodules by Dual–Time Point 18F-FDG PET/CT

Vieira, T.; Faria, Diogo; Silva, Fernando Azevedo; Pimentel, Francisco; Oliveira, José Pereira de

doi:10.1097/rlu.0000000000001713

Cited by 9 publications

(4 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In choosing among different reconstruction parameters in PET/CT scans, the clinician's visual impressions of the existence of lesions and SUVs often are the criteria on which such decisions are based. 39 , 40 For conventional PET/CT 18 F‐FDG lung nodule scans, an SUV > 2.5 has been considered a trigger point to modify patient management, 41 but if a lesion is sufficiently small its SUV will not reflect that value. 23 In our investigation the observed maximum SUV averaged 2.4 ± 0.3 for 25‐mm cylinders and was close to the intended cylinder‐to‐background radioactivity concentration ratio of 2.5, 19 but was only 1.4 ± 0.2 for 8‐mm cylinders, due to partial volume effects (Table 4 ).…”

Section: Discussionmentioning

confidence: 99%

Computational approaches to detect small lesions in ¹⁸F‐FDG PET/CT scans

Nichols

DiFilippo

Palestro

2021

J Applied Clin Med Phys

View full text Add to dashboard Cite

When physicians interpret 18 F-FDG PET/CT scans, they rely on their subjective visual impression of the presence of small lesions, the criteria for which may vary among readers. Our investigation used physical phantom scans to evaluate whether image texture analysis metrics reliably correspond to visual criteria used to identify lesions and accurately differentiate background regions from sub-centimeter simulated lesions. Methods: Routinely collected quality assurance test data were processed retrospectively for 65 different 18 F-FDG PET scans performed of standardized phantoms on eight different PET/CT systems. Phantoms included 8-, 12-, 16-, and 25-mm diameter cylinders embedded in a cylindrical water bath, prepared with 2.5:1 activity-to-background ratio emulating typical whole-body PET protocols. Voxel values in cylinder regions and background regions were sampled to compute several classes of image metrics. Two experienced physicists, blinded to quantified image metrics and to each other's readings, independently graded cylinder visibility on a 5-level scale (0 = definitely not visible to 4 = definitely visible). Results:The three largest cylinders were visible in 100% of cases with a mean visibility score of 3.3 ± 1.2, while the smallest 8-mm cylinder was visible in 58% of cases with a significantly lower mean visibility score of 1.5±1.1 (P < 0.0001). By ROC analysis, the polynomial-fit signal-to-noise ratio was the most accurate at discriminating 8-mm cylinders from the background, with accuracy greater than visual detection (93% ± 2% versus 76% ± 4%, P = 0.0001), and better sensitivity (94% versus 58%, P < 0.0001). Conclusion: Image texture analysis metrics are more sensitive than visual impressions for detecting sub-centimeter simulated lesions. Therefore, image texture analysis metrics are potentially clinically useful for 18 F-FDG PET/CT studies.

show abstract

Section: Discussionmentioning

confidence: 99%

Computational approaches to detect small lesions in ¹⁸F‐FDG PET/CT scans

Nichols

DiFilippo

Palestro

2021

J Applied Clin Med Phys

View full text Add to dashboard Cite

show abstract

“… 28 Unlike extensive literature reports on the benefits of TOF reconstructions, reports of regularized reconstruction’s benefits in quantitative measurements and qualitative visual image assessment using clinical data are scarce; however, our findings are consistent with a few case reports in the literature. 19 , 29 …”

Section: Discussionmentioning

confidence: 99%

Effect of Time-of-Flight and Regularized Reconstructions on Quantitative Measurements and Qualitative Assessments in Newly Diagnosed Prostate Cancer With ¹⁸F-Fluorocholine Dual Time Point PET/MRI

et al. 2017

View full text Add to dashboard Cite

Recent technical advances in positron emission tomography/magnetic resonance imaging (PET/MRI) technology allow much improved time-of-flight (TOF) and regularized iterative PET reconstruction regularized iterative reconstruction (RIR) algorithms. We evaluated the effect of TOF and RIR on standardized uptake values (maximum and peak SUV [SUVmax and SUVpeak]) and their metabolic tumor volume dependencies and visual image quality for 18F-fluorocholine PET/MRI in patients with newly diagnosed prostate cancer. Fourteen patients were administered with 3 MBq/kg of 18F-fluorocholine and scanned dynamically for 30 minutes. Positron emission tomography images were divided to early and late time points (1-6 minutes summed and 7-30 minutes summed). The values of the different SUVs were documented for dominant PET-avid lesions, and metabolic tumor volume was estimated using a 50% isocontour and SUV threshold of 2.5. Image quality was assessed via visual acuity scoring (VAS). We found that incorporation of TOF or RIR increased lesion SUVs. The lesion to background ratio was not improved by TOF reconstruction, while RIR improved the lesion to background ratio significantly (P < .05). The values of the different VAS were all significantly higher (P < .05) for RIR images over TOF, RIR over non-TOF, and TOF over non-TOF. In conclusion, our data indicate that TOF or RIR should be incorporated into current protocols when available.

show abstract

“…[8] Clinically, BPL reconstruction reduces noise, especially in larger patients and within smaller lesions. [9][10][11][12][13][14][15] The maximum standard uptake value (SUVmax) body weight (BW, SUVmax) is a semi-quantitative metric for intensity of radiotracer activity within a region of interest accounting for amount of injected dose and BW while correcting for radioactive time decay [SUVmax 6 Medicine lesions) and this difference tends to be more pronounced in tumors relative to normal liver. [14][15][16][17][18][19][20][21] Alterations in relative SUVmax values, and the relationship between lesion SUV compared to liver, raise concern around accuracy and consistency from interpreting physicians, including when imaging lymphoma.…”

Section: Introductionmentioning

confidence: 99%

“…[8] Clinically, BPL reconstruction reduces noise, especially in larger patients and within smaller lesions. [9–15]…”

Section: Introductionmentioning

confidence: 99%

Bayesian penalized likelihood PET reconstruction impact on quantitative metrics in diffuse large B-cell lymphoma

et al. 2023

View full text Add to dashboard Cite

Evaluate the quantitative, subjective (Deauville score [DS]) and reader agreement differences between standard ordered subset expectation maximization (OSEM) and Bayesian penalized likelihood (BPL) positron emission tomography (PET) reconstruction methods. A retrospective review of 104 F-18 fluorodeoxyglucose PET/computed tomography (CT) exams among 52 patients with diffuse large B-cell lymphoma. An unblinded radiologist moderator reviewed both BPL and OSEM PET/CT exams. Four blinded radiologists then reviewed the annotated cases to provide a visual DS for each annotated lesion. Significant ( P < .001) differences in BPL and OSEM PET methods were identified with greater standard uptake value (SUV) maximum and SUV mean for BPL. The DS was altered in 25% of cases when BPL and OSEM were reviewed by the same radiologist. Interobserver DS agreement was higher for OSEM (>1 cm lesion = 0.89 and ≤1 cm lesion = 0.84) compared to BPL (>1 cm lesion = 0.85 and ≤1 cm lesion = 0.81). Among the 4 readers, average intraobserver visual DS agreement between OSEM and BPL was 0.67 for lesions >1cm and 0.4 for lesions ≤1 cm. F-18 Fluorodeoxyglucose PET/CT of diffuse large B-cell lymphoma reconstructed with BPL has higher SUV values, altered DSs and reader agreement when compared to OSEM. This report finds volumetric PET measurements such as metabolic tumor volume to be similar between BPL and OSEM PET reconstructions. Efforts such as adoption of European Association Research Ltd accreditation should be made to harmonize PET data with an aim at balancing the need for harmonization and sensitivity for lesion detection.

show abstract

The Impact of a Bayesian Penalized Likelihood Reconstruction Algorithm on the Evaluation of Indeterminate Pulmonary Nodules by Dual–Time Point 18F-FDG PET/CT

Cited by 9 publications

References 7 publications

Computational approaches to detect small lesions in ¹⁸F‐FDG PET/CT scans

Computational approaches to detect small lesions in ¹⁸F‐FDG PET/CT scans

Effect of Time-of-Flight and Regularized Reconstructions on Quantitative Measurements and Qualitative Assessments in Newly Diagnosed Prostate Cancer With ¹⁸F-Fluorocholine Dual Time Point PET/MRI

Bayesian penalized likelihood PET reconstruction impact on quantitative metrics in diffuse large B-cell lymphoma

Contact Info

Product

Resources

About

The Impact of a Bayesian Penalized Likelihood Reconstruction Algorithm on the Evaluation of Indeterminate Pulmonary Nodules by Dual–Time Point 18F-FDG PET/CT

Cited by 9 publications

References 7 publications

Computational approaches to detect small lesions in 18F‐FDG PET/CT scans

Computational approaches to detect small lesions in 18F‐FDG PET/CT scans

Effect of Time-of-Flight and Regularized Reconstructions on Quantitative Measurements and Qualitative Assessments in Newly Diagnosed Prostate Cancer With 18F-Fluorocholine Dual Time Point PET/MRI

Bayesian penalized likelihood PET reconstruction impact on quantitative metrics in diffuse large B-cell lymphoma

Contact Info

Product

Resources

About

Computational approaches to detect small lesions in ¹⁸F‐FDG PET/CT scans

Computational approaches to detect small lesions in ¹⁸F‐FDG PET/CT scans

Effect of Time-of-Flight and Regularized Reconstructions on Quantitative Measurements and Qualitative Assessments in Newly Diagnosed Prostate Cancer With ¹⁸F-Fluorocholine Dual Time Point PET/MRI