Can dedicated breast PET help to reduce overdiagnosis and overtreatment by differentiating between indolent and potentially aggressive ductal carcinoma in situ?

OBJECTIVES: To analyze the utility of metabolic imaging, and specifically of dedicated breast positron emission tomography (dbPET) to differentiate between indolent and potentially aggressive ductal carcinoma in situ (DCIS). METHODS: After institutional review board approval, we retrospectively reviewed the cases of pure DCIS who underwent dbPET before biopsy and surgery in Lucus Augusti Universitary Hospital (Lugo, Spain) and in Fudan Cancer Institute (Shanghai, China) between January 2016 and May 2018. Grade 1 and "non-comedo" grade 2 DCIS were considered low-risk disease, while intermediate-grade with necrosis or grade 3 cases were included in the high-risk group. DbPET sensitivity and specificity to differentiate between indolent and potentially aggressive DCIS were determined along with their respective 95% confidence intervals. RESULTS: We enrolled 139 surgery-confirmed pure DCIS cases. Fifty were high-risk neoplasms and 89 low-risk DCIS. Only seven low-risk lesions were positive at dbPET and five of potentially aggressive neoplasms did not show FDG uptake, all included into the field of view (FOV). Sensitivity and specificity of dbPET to differentiate between indolent and potentially aggressive DCIS were 90% (95% CI, 77-96%) and 92% (95% CI, 84-97%), respectively. CONCLUSION: Metabolic imaging could help to identify the subgroup of indolent lesions from those potentially aggressive ones that may be managed by active surveillance. KEY POINTS: • Low- and high-grade DCIS likely arise from two distinct evolutionary paths and when low-grade lesions progress to invasive cancer, the tumor is frequently low grade and well differentiated. • Ongoing clinical trials evaluate whether patients with low-risk DCIS could be safely managed by an active surveillance approach, with avoidance of unnecessary treatments and without impact on ipsilateral invasive breast cancer free survival time. • Dedicated breast PET may differentiate harmless from potentially hazardous DCIS, supporting active surveillance for the management of those women with low-grade DCIS, decreasing the rate of the upgrade to invasive carcinoma at surgical excision.

Texture analysis of high-resolution dedicated breast 18 F-FDG PET images correlates with immunohistochemical factors and subtype of breast cancer.

PURPOSE: This study aims to determine whether PET textural features measured with a new dedicated breast PET scanner reflect biological characteristics of breast tumors. METHODS: One hundred and thirty-nine breast tumors from 127 consecutive patients were included in this analysis. All of them underwent a 18F-FDG PET scan before treatment. Well-known PET quantitative parameters such as SUV m a x , SUV m e a n , metabolically active tumor volume (MATV) and total lesion glycolysis (TLG) were extracted. Together with these parameters, local, regional, and global heterogeneity descriptors, which included five textural features (TF), were computed. Immunohistochemical classification of breast cancer considered five subtypes: luminal A like (LA), luminal B like/HER2 - (LB -), luminal B like/HER2+ (LB+), HER2-positive-non-luminal (HER2pnl), and triple negative (TN). Associations between PET features and tumor characteristics were assessed using non-parametric hypothesis tests. RESULTS: Along with well-established associations, new correlations were found. HER2-positive tumors had significantly higher uptake (p < 0.001, AUCs > 0.70) and presented different global and regional heterogeneity (p = 0.002, p = 0.016, respectively, AUCs < 0.70). Nine out of ten analyzed features were significantly associated with immunohistochemical subtype. Uptake was lower for LA tumors (p < 0.001) with AUCs ranging from 0.71 to 0.88 for each subgroup comparison. Heterogeneity metrics were significantly associated when comparing LA and LB - (p < 0.01), being regional heterogeneity metrics more discriminative than any other parameter (AUC = 0.80 compared to AUC = 0.71 for SUV). LB+ and HER2pnl tumors also showed more regional heterogeneity than LA tumors (AUCs = 0.79 and 0.84, respectively). After comparison with whole-body PET studies, we observed an overall improvement in the classification ability of both non-heterogeneity metrics and textural features. CONCLUSIONS: PET parameters extracted from high-resolution dedicated breast PET images showed new and stronger correlations with immunohistochemical factors and immunohistochemical subtype of breast cancer compared to whole-body PET.

Impact of benzodiazepines on brain FDG-PET quantification after single-dose and chronic administration in rats.

INTRODUCTION: Current guidelines for brain PET imaging advice against the injection of diazepam prior to brain FDG-PET examination in order to avoid possible interactions of benzodiazepines with the radiotracer uptake. Nevertheless, many patients undergoing PET studies are likely to be under chronic treatment with benzodiazepines, for example due to the use of different medications such as sleeping pills. Animal studies may provide an extensive and accurate estimation of the effect of benzodiazepines on brain metabolism in a well-defined and controlled framework. AIM: This study aims at evaluating the impact of benzodiazepines on brain FDG uptake after single-dose administration and chronic treatment in rats. METHODS: Twelve Sprague-Dawley healthy rats were randomly divided into two groups, one treated with diazepam and the other used as control group. Both groups underwent PET/CT examinations after single-dose and chronic administration of diazepam (treated) or saline (controls) during twenty-eight days. Different atlas-based quantification methods were used to explore differences on the total uptake and uptake patterns of FDG between both groups. RESULTS: Our analysis revealed a significant reduction of global FDG uptake after acute (-16.2%) and chronic (-23.2%) administration of diazepam. Moreover, a strong trend pointing to differences between acute and chronic administrations (p<0.08) was also observed. Uptake levels returned to normal after interrupting the administration of diazepam. On the other hand, patterns of FDG uptake were not affected by the administration of diazepam. CONCLUSIONS: The administration of diazepam causes a progressive decrease of the FDG global uptake in the rat brain, but it does not change local patterns within the brain. Under these conditions, visual assessment and quantification methods based on regional differences such as asymmetry indexes or SPM statistical analysis would still be valid when administrating this medication.

Impact and correction of the bladder uptake on 18 F-FCH PET quantification: a simulation study using the XCAT2 phantom.

The spill-in counts from neighbouring regions can significantly bias the quantification over small regions close to high activity extended sources. This effect can be a drawback for (18)F-based radiotracers positron emission tomography (PET) when quantitatively evaluating the bladder area for diseases such as prostate cancer. In this work, we use Monte Carlo simulations to investigate the impact of the spill-in counts from the bladder on the quantitative evaluation of prostate cancer when using (18)F-Fluorcholine (FCH) PET and we propose a novel reconstruction-based correction method. Monte Carlo simulations of a modified version of the XCAT2 anthropomorphic phantom with (18)F-FCH biological distribution, variable bladder uptake and inserted prostatic tumours were used in order to obtain simulated realistic (18)F-FCH data. We evaluated possible variations of the measured tumour Standardized Uptake Value (SUV) for different values of bladder uptake and propose a novel correction by appropriately adapting image reconstruction methodology. The correction is based on the introduction of physiological background terms on the reconstruction, removing the contribution of the bladder to the final image. The bladder is segmented from the reconstructed image and then forward-projected to the sinogram space. The resulting sinograms are used as background terms for the reconstruction. SUV max and SUV mean could be overestimated by 41% and 22% respectively due to the accumulation of radiotracer in the bladder, with strong dependence on bladder-to-lesion ratio. While the SUVs measured under these conditions are not reliable, images corrected using the proposed methodology provide better repeatability of SUVs, with biases below 6%. Results also showed remarkable improvements on visual detectability. The spill-in counts from the bladder can affect prostatic SUV measurements of (18)F-FCH images, which can be corrected to less than 6% using the proposed methodology, providing reliable SUV values even in the presence of high radioactivity accumulation in the bladder.

Metabolic patterns in prion diseases: an FDG PET voxel-based analysis.

PURPOSE: Clinical diagnosis of human prion diseases can be challenging since symptoms are common to other disorders associated with rapidly progressive dementia. In this context, (18)F-fluorodeoxyglucose (FDG) positron emission tomography (PET) might be a useful complementary tool. The aim of this study was to determine the metabolic pattern in human prion diseases, particularly sporadic Creutzfeldt-Jakob disease (sCJD), the new variant of Creutzfeldt-Jakob disease (vCJD) and fatal familial insomnia (FFI). METHODS: We retrospectively studied 17 patients with a definitive, probable or possible prion disease who underwent FDG PET in our institution. Of these patients, 12 were diagnosed as sCJD (9 definitive, 2 probable and 1 possible), 1 was diagnosed as definitive vCJD and 4 were diagnosed as definitive FFI. The hypometabolic pattern of each individual and comparisons across the groups of subjects (control subjects, sCJD and FFI) were evaluated using a voxel-based analysis. RESULTS: The sCJD group exhibited a pattern of hypometabolism that affected both subcortical (bilateral caudate, thalamus) and cortical (frontal cortex) structures, while the FFI group only presented a slight hypometabolism in the thalamus. Individual analysis demonstrated a considerable variability of metabolic patterns among patients, with the thalamus and basal ganglia the most frequently affected areas, combined in some cases with frontal and temporal hypometabolism. CONCLUSION: Patients with a prion disease exhibit a characteristic pattern of brain metabolism presentation in FDG PET imaging. Consequently, in patients with rapidly progressive cognitive impairment, the detection of these patterns in the FDG PET study could orient the diagnosis to a prion disease.

PET optimization for improved assessment and accurate quantification of 90Y-microsphere biodistribution after radioembolization.

PURPOSE: 90Y-microspheres are widely used for the radioembolization of metastatic liver cancer or hepatocellular carcinoma and there is a growing interest for imaging 90Y-microspheres with PET. The aim of this study is to evaluate the performance of a current generation PET/CT scanner for 90Y imaging and to optimize the PET protocol to improve the assessment and the quantification of 90Y-microsphere biodistribution after radioembolization. METHODS: Data were acquired on a Biograph mCT-TrueV scanner with time of flight (TOF) and point spread function (PSF) modeling. Spatial resolution was measured with a 90Y point source. Sensitivity was evaluated using the NEMA 70 cm line source filled with 90Y. To evaluate the count rate performance, 90Y vials with activity ranging from 3.64 to 0.035 GBq were measured in the center of the field of view (CFOV). The energy spectrum was evaluated. Image quality with different reconstructions was studied using the Jaszczak phantom containing six hollow spheres (diameters: 31.3, 28.1, 21.8, 16.1, 13.3, and 10.5 mm), filled with a 207 kBq/ml 90Y concentration and a 5:1 sphere-to-background ratio. Acquisition time was adjusted to simulate the quality of a realistic clinical PET acquisition of a patient treated with SIR-Spheres®. The developed methodology was applied to ten patients after SIR-Spheres® treatment acquiring a 10 min per bed PET. RESULTS: The energy spectrum showed the 90Y bremsstrahlung radiation. The 90Y transverse resolution, with filtered backprojection reconstruction, was 4.5 mm in the CFOV and degraded to 5.0 mm at 10 cm off-axis. 90Y absolute sensitivity was 0.40 kcps/MBq in the center of the field of view. Tendency of true and random rates as a function of the 90Y activity could be accurately described using linear and quadratic models, respectively. Phantom studies demonstrated that, due to low count statistics in 90Y PET acquisition, the optimal parameters for the standard OSEM+PSF reconstruction were only one iteration and a postreconstruction filter of 6 mm FWHM, for both TOF and non-TOF reconstructions. Moreover, when TOF is included, the signal to noise ratio increased and visibility achieved 100% by the experienced observers and 93.3% according to the Rose model of statistical detection. In 50% of patients, TOF allowed the visualization of 90Y radioembolized lesions not seen without TOF, confirming phantom results. Liver activity was accurately quantified, with no significant differences between reconstructed and actual delivered activity to the whole-liver [mean relative difference (10.2±14.7)%]. CONCLUSIONS: Qualitative and quantitative 90Y PET imaging improved with the introduction of TOF in a PET/CT scanner, thereby allowing the visualization of microsphere deposition in lesions not visible in non-TOF images. This technique accurately quantifies the total activity delivered to the liver during radioembolization with (90)Y-microspheres and allows dose estimation.

Impact of time-of-flight and point-spread-function in SUV quantification for oncological PET.

BACKGROUND: Accuracy in the quantification of the SUV is a critical point in PET because proper quantification of tumor uptake is essential for therapy monitoring and prognosis evaluation. Recent advances such as time-of-flight (TOF) and point-spread-function (PSF) reconstructions have dramatically improved detectability. However, first experiences with these techniques have shown a consistent tendency to measure markedly high SUV values, bewildering nuclear medicine physicians and referring clinicians. PURPOSE: We investigated different reconstruction and quantification procedures to determine the optimum protocol for an accurate SUV quantification in last generation PET scanners. METHODS: Both phantom and patient images were evaluated. A complete set of experiments was performed using a body phantom containing 6 spheres with different background levels and contrasts. Whole-body FDG PET/CT of 20 patients with breast and lung cancer was evaluated. One hundred five foci were identified by 2 experienced nuclear medicine physicians.Each acquisition was reconstructed both with classical and advanced (TOF, PSF) reconstruction techniques. Each sphere and each in vivo lesion was quantified with different parameters as follows: SUV(max), SUV(mean), and SUV(50) (mean within a 50% isocontour). RESULTS: This study has confirmed that quantification with SUV(max) produces important overestimation of metabolism in new generation PET scanners. This is a relevant result because, currently, SUV(max) is the standard parameter for quantification. SUV(50) has been shown as the best alternative, especially when applied to images reconstructed with PSF + TOF. CONCLUSIONS: SUV(50) provides accurate quantification and should replace SUV(max) in PET tomographs incorporating advanced reconstruction techniques. PSF + TOF reconstruction is the optimum for both detection and accurate quantification.

PET Tracers for Clinical Imaging of Breast Cancer.

Molecular imaging of breast cancer has undoubtedly permitted a substantial development of the overall diagnostic accuracy of this malignancy in the last years. Accurate tumour staging, design of individually suited therapies, response evaluation, early detection of recurrence and distant lesions have also evolved in parallel with the development of novel molecular imaging approaches. In this context, positron emission tomography (PET) can be probably seen as the most interesting molecular imaging technology with straightforward clinical application for such purposes. Dozens of radiotracers for PET imaging of breast cancer have been tested in laboratory animals. However, in this review we shall focus mainly in the smaller group of PET radiopharmaceuticals that have lead through into the clinical setting. PET imaging can be used to target general metabolic phenomena related to tumoural transformation, including glucose metabolism and cell proliferation, but can also be directed to specific hormone receptors that are characteristic of the breast cancer cell. Many other receptors and transport molecules present in the tumour cells could also be of interest for imaging. Furthermore, molecules related with the tumour microenvironment, tumour induced angiogenesis or even hypoxia could also be used as molecular biomarkers for breast cancer imaging.

Voxel-based analysis of dual-time-point 18F-FDG PET images for brain tumor identification and delineation.

UNLABELLED: We have investigated dual-time-point (18)F-FDG PET for the detection and delineation of high-grade brain tumors using quantitative criteria applied on a voxel basis. METHODS: Twenty-five patients with suspected high-grade brain tumors and inconclusive MRI findings underwent (11)C-methionine PET and dual-time-point (18)F-FDG PET. Images from each subject were registered and spatially normalized. Parametric maps of standardized uptake value (SUV) and tumor-to-normal gray matter (TN) ratio for each PET image were obtained. Tumor diagnosis was evaluated according to 4 criteria comparing standard and delayed (18)F-FDG PET images: any SUV increase, SUV increase greater than 10%, any TN increase, and TN increase greater than 10%. Voxel-based analysis sensitivity was assessed using (11)C-methionine as a reference and compared with visual and volume-of-interest analysis for dual-time-point PET images. Additionally, volumetric assessment of the tumor extent that fulfills each criterion was compared with the volume defined for (11)C-methionine PET. RESULTS: The greatest sensitivity for tumor identification was obtained with any increase of TN ratio (100%), followed by a TN increase greater than 10% (96%), any SUV increase (80%), and an SUV increase greater than 10% (60%). These values were superior to visual analysis of standard (18)F-FDG (sensitivity, 40%) and delayed (18)F-FDG PET (sensitivity, 52%). Volume-of-interest analysis of dual-time-point PET reached a sensitivity of only 64% using the TN increase criterion. Regarding volumetry, voxel-based analysis with the TN ratio increase as a criterion, compared with (11)C-methionine PET, detected 55.4% of the tumor volume, with the other criteria detecting volumes lower than 20%. Nevertheless, volume detection presented great variability, being better for metastasis (78%) and glioblastomas (56%) than for anaplastic tumors (12%). A positive correlation was observed between the volume detected and the time of acquisition of the delayed PET image (r = 0.66, P < 0.001), showing volumes greater than 75% when the delayed image was obtained at least 6 h after (18)F-FDG injection. CONCLUSION: Compared with standard (18)F-FDG PET studies, quantitative dual-time-point (18)F-FDG PET can improve sensitivity for the identification and volume delineation of high-grade brain tumors.