Terms Of Standardized Uptake Value Research Articles

K-nearest neighbor driving active contours to delineate biological tumor volumes

An algorithm for tumor delineation in positron emission tomography (PET) is presented. Segmentation is achieved by a local active contour algorithm, integrated and optimized with the k-nearest neighbor (KNN) classification method, which takes advantage of the stratified k-fold cross-validation strategy. The proposed approach is evaluated considering the delineation of cancers located in different body districts (i.e. brain, head and neck, and lung), and considering different PET radioactive tracers. Data are pre-processed in order to be expressed in terms of standardized uptake value, the most widely used PET quantification index. The algorithm uses an initial, operator selected region containing the lesion, and automatically identifies an operator-independent optimal region of interest around the tumor. Successively, a slice-by-slice marching local active contour segmentation algorithm is used. The key novelty of the proposed approach consists of a novel form of the energy to be minimized during segmentation, which is enhanced by incorporating the information provided by a KNN classifier. The delineation process and its termination are fully automatic, so that intervention from the user is reduced to a minimum. Due to the high level of automation, the final segmented lesion is independent of inter-operator variation in the initial user input, making the entire process robust and the result completely repeatable.In order to assess the performance under different contrast ratio scenarios, we first evaluate the proposed method on five phantom datasets. Next, we assess the applicability of the method in the radiotherapy environment by investigating fifty clinical cases and two different PET radio-tracers. Our investigation shows that the proposed method can be applied in clinical settings and produces accurate and operator-independent segmentations, attaining good accuracy in realistic conditions.

Extracardiac 18F-florbetapir imaging in patients with systemic amyloidosis: more than hearts and minds

Purpose18F-Florbetapir has been reported to show cardiac uptake in patients with systemic light-chain amyloidosis (AL). This study systematically assessed uptake of 18F-florbetapir in patients with proven systemic amyloidosis at sites outside the heart.MethodsSeventeen patients with proven cardiac amyloidosis underwent 18F-florbetapir PET/CT imaging, 15 with AL and 2 with transthyretin amyloidosis (ATTR). Three patients had repeat scans. All patients had protocolized assessment at the UK National Amyloidosis Centre including imaging with 123I-serum amyloid P component (SAP). 18F-Florbetapir images were assessed for areas of increased tracer accumulation and time–uptake curves in terms of standardized uptake values (SUVmean) were produced.ResultsAll 17 patients showed 18F-florbetapir uptake at one or more extracardiac sites. Uptake was seen in the spleen in 6 patients (35%; 6 of 9, 67%, with splenic involvement on 123I-SAP scintigraphy), in the fat in 11 (65%), in the tongue in 8 (47%), in the parotids in 8 (47%), in the masticatory muscles in 7 (41%), in the lungs in 3 (18%), and in the kidney in 2 (12%) on the late half-body images. The 18F-florbetapir spleen retention index (SRI) was calculated. SRI >0.045 had 100% sensitivity/sensitivity (in relation to 123I-SAP splenic uptake, the current standard) in detecting splenic amyloid on dynamic imaging and a sensitivity of 66.7% and a specificity of 100% on the late half-body images. Intense lung uptake was seen in three patients, one of whom had lung interstitial infiltration suggestive of amyloid deposition on previous high-resolution CT. Repeat imaging showed a stable appearance in all three patients suggesting no early impact of treatment response.Conclusion18F-Florbetapir PET/CT is a promising tool for the detection of extracardiac sites of amyloid deposition. The combination of uptake in the heart and uptake in the spleen on 18F-florbetapir PET/CT, a hallmark of AL, suggests that this tracer holds promise as a screening tool for AL.

Bone marrow uptake of 18F-fluorodeoxyglucose in Hodgkin lymphoma without bone involvement: comparison between patients with and without B symptoms.

ObjectiveTo compare the degree of benign bone marrow uptake of 18F-fluorodeoxyglucose (18F-FDG) between Hodgkin lymphoma patients with and without B symptoms.Materials and MethodsWe analyzed the medical charts of 74 Hodgkin lymphoma patients who underwent 18F-FDG positron emission tomography/computed tomography (PET/CT) prior to the initiation of therapy between October 2010 and September 2013. In all of the patients, the bone marrow biopsy was negative and the 18F-FDG PET/CT images did not suggest bone marrow involvement. Of the 74 patients evaluated, 54 presented inflammatory (B) symptoms and 20 did not. Regions of interest (ROIs) were drawn on the sternum, the proximal thirds of the humeri, the proximal thirds of the femora, and both iliac wings (totaling seven ROIs per patient). To compare the patients with and without B symptoms, in terms of standardized uptake values (SUVs) for the seven ROIs, we used the Mann-Whitney U test.ResultsFor six of the ROIs, the SUVs were higher in the patients with B symptoms than in those without, and the difference was statistically significant (p < 0.05). There was also a tendency toward a statistically significant difference between the two groups in terms of the SUV for the right iliac wing ROI (p = 0.06).ConclusionIn our sample, the presence of B symptoms was associated with increased 18F-FDG uptake in bone marrow.

Preclinical evaluation of melanocortin-1 receptor (MC1-R) specific 68Ga- and 44Sc-labeled DOTA-NAPamide in melanoma imaging

PurposeAlpha melanocyte stimulating hormone (α-MSH) enhances melanogenesis in melanoma malignum by binding to melanocortin-1 receptors (MC1-R). Earlier studies demonstrated that alpha-MSH analog NAPamide molecule specifically binds to MC1-R receptor. Radiolabeled NAPamide is a promising radiotracer for the non-invasive detection of melanin producing melanoma tumors by Positron Emission Tomography (PET). In this present study the MC1-R selectivity of the newly developed Sc-44-labeled DOTA-NAPamide was investigated in vitro and in vivo using melanoma tumors. MethodsDOTA-NAPamide was labeled with Ga-68 and Sc-44 radionuclides. The MC1-R specificity of Ga-68- and Sc-44-labeled DOTA-NAPamide was investigated in vitro and in vivo using MC1-R positive (B16-F10) and negative (A375) melanoma cell lines. For in vivo imaging studies B16-F10 and A375 tumor-bearing mice were injected with 44Sc/68Ga-DOTA-NAPamide (in blocking studies with α-MSH) and whole body PET/MRI scans were acquired. Radiotracer uptake was expressed in terms of standardized uptake values (SUVs). Results44Sc/68Ga-labeled DOTA-NAPamide were produced with high specific activity (approx. 19 GBq/μmol) and with excellent radiochemical purity (99%<). MC1-R positive B16-F10 cells showed significantly (p≤0.01) higher in vitro radiotracer accumulation than that of receptor negative A375 melanoma cells. In animal experiments, also significantly (p≤0.01) higher Ga-68-DOTA-NAPamide (SUVmean: 0.38±0.02), and Sc-44-DOTA-NAPamide (SUVmean: 0.52±0.13) uptake was observed in subcutaneously growing B16-F10 tumors, than in receptor negative A375 tumors, where the SUVmean values of Ga-68-DOTA-NAPamide and Sc-44-DOTA-NAPamide were 0.04±0.01 and 0.07±0.01, respectively. Tumor-to-muscle (T/M SUVmean) ratios were approximately 15-fold higher in B16-F10 tumor-bearing mice, than that of A375 tumors, and this difference was also significant (p≤0.01) using both radiotracers after 60 min incubation time. ConclusionOur newly synthesized 44Sc-labeled DOTA-NAPamide probe showed excellent binding properties to melanocortin-1 receptor (MC1-R) positive melanoma cell and tumors. Due to its high specificity and sensitivity 44Sc-DOTA-NAPamide is a promising radiotracer in molecular imaging of malignant melanoma.

68Ga-PSMA PET/CT Imaging Predicting Intraprostatic Tumor Extent, Extracapsular Extension and Seminal Vesicle Invasion Prior to Radical Prostatectomy in Patients with Prostate Cancer.

68Ga-labeled prostate-specific membrane antigen (PSMA) ligand positron emission tomography/computed tomography (PET/CT) has shown promising results in patients with biochemical recurrence after primary therapy for prostate cancer. In this study, we evaluated the usefulness of PSMA I&T (imaging and therapy) PET/CT prior to radical prostatectomy. The study population consisted of 21 patients with prostate cancer who underwent 68Ga-PSMA I&T PET/CT before either open or laparoscopic radical prostatectomy. Intraprostatic tumor extent, extracapsular extension (ECE) and seminal vesicle invasion (SVI) were assessed on the PET/CT scans. Tracer uptake was quantified in terms of standardized uptake values (SUVs). Imaging findings were correlated with final whole-gland histopathology. Of the 21 patients, two had T stage 2b disease, nine stage 2c, six stage 3a and four stage 3b. The median Gleason score was 7. The SUVmean of the primary tumors was 9.5 ± 8.8. SUVmean was higher in tumors with ECE than in organ-confined tumors (13.8 ± 11.0 vs. 5.6 ± 3.2, p = 0.029). Peak tracer uptake was significantly positively correlated with Gleason score (rs = 0.49, p = 0.025). Sensitivity, specificity, positive predictive value and negative predictive value were, respectively, 94.7%, 75.0%, 97.3% and 60.0% for tumor infiltration of an individual prostate lobe, 75.0%, 100.0%, 100.0% and 97.4% for SVI, and 90.0%, 90.9%, 90.0% and 90.9% for ECE, using an angulated contour of the prostate as the criterion. Tumor volume derived from 68Ga-PSMA I&T PET/CT was significantly correlated with preoperative prostate-specific antigen value (rp = 0.75, p < 0.001) and tumor volume on histopathology (rp = 0.45, p = 0.039). 68Ga-PSMA I&T PET/CT prior to radical prostatectomy can contribute to presurgical local staging of prostate cancer. In this pilot study, 68Ga-PSMA I&T PET/CT showed promising results for prediction of lobe infiltration, ECE and SVI.

A novel approach to assess the treatment response using Gaussian random field in PET.

The assessment of early therapeutic response to anticancer therapy is vital for treatment planning and patient management in clinic. With the development of personal treatment plan, the early treatment response, especially before any anatomically apparent changes after treatment, becomes urgent need in clinic. Positron emission tomography (PET) imaging serves an important role in clinical oncology for tumor detection, staging, and therapy response assessment. Many studies on therapy response involve interpretation of differences between two PET images, usually in terms of standardized uptake values (SUVs). However, the quantitative accuracy of this measurement is limited. This work proposes a statistically robust approach for therapy response assessment based on Gaussian random field (GRF) to provide a statistically more meaningful scale to evaluate therapy effects. The authors propose a new criterion for therapeutic assessment by incorporating image noise into traditional SUV method. An analytical method based on the approximate expressions of the Fisher information matrix was applied to model the variance of individual pixels in reconstructed images. A zero mean unit variance GRF under the null hypothesis (no response to therapy) was obtained by normalizing each pixel of the post-therapy image with the mean and standard deviation of the pretherapy image. The performance of the proposed method was evaluated by Monte Carlo simulation, where XCAT phantoms (128(2) pixels) with lesions of various diameters (2-6 mm), multiple tumor-to-background contrasts (3-10), and different changes in intensity (6.25%-30%) were used. The receiver operating characteristic curves and the corresponding areas under the curve were computed for both the proposed method and the traditional methods whose figure of merit is the percentage change of SUVs. The formula for the false positive rate (FPR) estimation was developed for the proposed therapy response assessment utilizing local average method based on random field. The accuracy of the estimation was validated in terms of Euler distance and correlation coefficient. It is shown that the performance of therapy response assessment is significantly improved by the introduction of variance with a higher area under the curve (97.3%) than SUVmean (91.4%) and SUVmax (82.0%). In addition, the FPR estimation serves as a good prediction for the specificity of the proposed method, consistent with simulation outcome with ∼1 correlation coefficient. In this work, the authors developed a method to evaluate therapy response from PET images, which were modeled as Gaussian random field. The digital phantom simulations demonstrated that the proposed method achieved a large reduction in statistical variability through incorporating knowledge of the variance of the original Gaussian random field. The proposed method has the potential to enable prediction of early treatment response and shows promise for application to clinical practice. In future work, the authors will report on the robustness of the estimation theory for application to clinical practice of therapy response evaluation, which pertains to binary discrimination tasks at a fixed location in the image such as detection of small and weak lesion.

Self-gated MRI motion modeling for respiratory motion compensation in integrated PET/MRI.

Accurate localization and uptake quantification of lesions in the chest and abdomen using PET imaging is challenged by respiratory motion occurring during the exam. This work describes how a stack-of-stars MRI acquisition on integrated PET/MRI systems can be used to derive a high-resolution motion model, how many respiratory phases need to be differentiated, how much MRI scan time is required, and how the model is employed for motion-corrected PET reconstruction. MRI self-gating is applied to perform respiratory gating of the MRI data and simultaneously acquired PET raw data. After gated PET reconstruction, the MRI motion model is used to fuse the individual gates into a single, motion-compensated volume with high signal-to-noise ratio (SNR). The proposed method is evaluated in vivo for 15 clinical patients. The gating requires 5-7 bins to capture the motion to an average accuracy of 2mm. With 5 bins, the motion-modeling scan can be shortened to 3-4 min. The motion-compensated reconstructions show significantly higher accuracy in lesion quantification in terms of standardized uptake value (SUV) and different measures of lesion contrast compared to ungated PET reconstruction. Furthermore, unlike gated reconstructions, the motion-compensated reconstruction does not lead to SNR loss.

Furosemide diminishes ¹⁸F-fluoroethylcholine uptake in prostate cancer in vivo.

(18)F-Fluoroethylcholine ((18)F-FECh) is excreted via the urinary system with high activity accumulation in the urinary bladder. Furosemide and oral hydration can be administered concomitantly to reduce urinary activity to provide better detectability of retroperitoneal and pelvic lesions. Currently it is unknown if there is any effect of furosemide on (18)F-FECh uptake in organs, tissues and tumour lesions and the extent to which image quality along the urinary tract may be improved by furosemide. We retrospectively analysed 217 (18)F-FECh PET/CT examinations from 213 patients with known prostate cancer (PCa), performed either with oral hydration (109) or furosemide 20mg together with oral hydration (108). Maximum (18)F-FECh uptake in different organs, tissues, lymph nodes and osseous metastases was quantified in terms of standardized uptake value (SUV) in a volume of interest and compared between the two groups. To characterize the impact of furosemide on lesion detectability a three-point rating scale was used to assess the presence of focal activity spots in the ureters and of perivesicular artefacts. Patient characteristics and distribution of tumour lesions were well balanced between the two groups. Overall, SUVmax values from normal organs were increased after furosemide compared to the values in patients scanned without furosemide. Significant changes were observed in the salivary glands, liver, spleen, pancreas, kidneys, gluteus muscle and perirenal fat. SUVmax values were significantly decreased after furosemide in lymph node metastases (SUVmax 4.81 ± 2.68 vs. 6.48 ± 4.22, p = 0.0006), but not in osseous metastases. Evaluation of image quality along the urinary tract revealed significantly better depiction of the perivesicular space and significantly less focal tracer accumulation in the ureters in patients receiving furosemide, but the number of detected lymph nodes was not significantly different. Furosemide administration reduced choline uptake in tumour lesions, especially significant in pelvic lymph node metastases. Although furosemide administration improved image quality, optimal image quality may also be obtained by adequate hydration without the risk of diminishing choline uptake in PCa lesions. Therefore a controlled hydration protocol seems more appropriate than administration of furosemide.

Qualitative and quantitative performance of ¹⁸F-FDG-PET/MRI versus ¹⁸F-FDG-PET/CT in patients with head and neck cancer.

MR imaging and PET/CT are integrated in the work-up of head and neck cancer patients. The hybrid imaging technology (18)F-FDG-PET/MR imaging combining morphological and functional information might be attractive in this patient population. The aim of the study was to compare whole-body (18)F-FDG-PET/MR imaging and (18)F-FDG-PET/CT in patients with head and neck cancer, both qualitatively in terms of lymph node and distant metastases detection and quantitatively in terms of standardized uptake values measured in (18)F-FDG-avid lesions. Fourteen patients with head and neck cancer underwent both whole-body PET/CT and PET/MR imaging after a single injection of (18)F-FDG. Two groups of readers counted the number of lesions on PET/CT and PET/MR imaging scans. A consensus reading was performed in those cases in which the groups disagreed. Quantitative standardized uptake value measurements were performed by placing spheric ROIs over the lesions in 3 different planes. Weighted and unweighted κ statistics, correlation analysis, and the Wilcoxon signed rank test were used for statistical analysis. κ statistics for the number of head and neck lesion lesions counted (pooled across regions) revealed interreader agreement between groups 1 and 2 of 0.47 and 0.56, respectively. Intrareader agreement was 0.67 and 0.63. The consensus reading provided an intrareader agreement of 0.63. For the presence or absence of metastasis, interreader agreement was 0.85 and 0.70. The consensus reading provided an intrareader agreement of 0.72. The correlations between the maximum standardized uptake value in (18)F-FDG-PET/MR imaging and (18)F-FDG-PET/CT for primary tumors and lymph node and metastatic lesions were very high (Spearman r = 1.00, 0.93, and 0.92, respectively). In patients with head and neck cancer, (18)F-FDG-PET/MR imaging and (18)F-FDG-PET/CT provide comparable results in the detection of lymph node and distant metastases. Standardized uptake values derived from (18)F-FDG-PET/MR imaging can be used reliably in this patient population.

Abstract P4-02-03: FDG PET/CT for early monitoring of response to neoadjuvant chemotherapy in breast cancer patients.

Abstract Introduction: Neoadjuvant chemotherapy (NAC), initially used only for locally advanced breast cancer, is now commonly used in patients with operable but large breast cancer or unfavorable tumor/breast size index because increases the chances of performing breast conservative surgery (BCS) instead of mastectomy in this group of patients. Patients and Methods: This is a prospective unicenter trial. FDG PET/CT were performed in 40 patients at baseline and after the second cycle of NAC. The level and relative changes in standardized uptake value (SUV) of FDG uptake were assessed regarding their ability to predict histopathologic response. Pathologic complete response (pCR) was defined as no malignant cells (no invasive ductal carcinoma and no ductal carcinoma in situ) identifiable in sections from the site of the tumor in the breast and in the axillary lymph node. Results: This prospectively study analyzed forty patients undergoing NAC, all female, age ranged 27–64 years (mean 41.0 years and median 38 years), all tumors were invasive ductal carcinoma, histological tumor grade 1, 2 and 3 were present respectively at 5%, 38.5% and 100% of the sample and nuclear grade 2 and 3 were present respectively at 12.5% and 87.5%. Estrogen receptor was positive in 60% of patients and the progesterone receptor was positive in 47.5% of patients. Her 2 was overexpressed in 12 patients (30%). Phenotype in this sample had the following distribution: 12.5% luminal A (5 patients), 50% Luminal B (20 patients: 14 patients with Ki-67&amp;gt; 14% and 6 cases with HER 2 overexpression), 15 % HER 2 (6 patients) and cases triple negative 9 (22.5%). size of the primary tumor ranged from 4.10 cm to 12.0 cm (mean 7.10 cm). The size of the primary tumor ranged from had a mean of 6.7 cm and a median of 6.0 cm. This group showed great uniformity in relation to primary chemotherapy. NAC with cyclophosphamide and adriamycin were administered to 38 patients. In this study, pCR was obtained in 12 patients (30%). Baseline FDG SUV referring to pCR group was 11.26 and 7.26 in non-pCR group (p = 0.04). FDG SUV after second cycle was 2.73 in pCR group and 4.64 in non-pCR group (p = 0.048). When analyzing ΔSUV (difference between baseline SUV and SUV after second cycle), pCR group had a mean reduction of 81.58% and non-pCR group had a mean reduction of 81.58% (p = 0.001). Receiver operating curve analyses were performed to deter mine optimal differentiation cut-off values of ΔSUV for differentiation of pCR and non-pCR. After two courses of NAC the optimal cutoff value to early differentiation between pCR from non-pCR were 59,1% in decrease of SUV. The sensitivity and specificity were 64,3% and 100,0%, respectively. Conclusion: The optimum role of FDG PET in predicting the response of breast cancers to neoadjuvant chemotherapy is still not clearly defined and the SUV cut-off needs to be validated. FDG-PET allows for prediction of treatment response by the level of FDG uptake in terms of SUV at baseline and after two cycles of chemotherapy and FDG-PET may be helpful for individual treatment stratification in breast cancer patients. Citation Information: Cancer Res 2012;72(24 Suppl):Abstract nr P4-02-03.

Retrospective web-based multicenter evaluation of 18F-FDG-PET and CT derived predictive factors

Summary Aim: Although predictive factors (PF) for conventional lymphoma therapy are established and frequently used in clinical practice and medical research, the PF for radioimmunotherapy (RIT) have not been fully defined until now. The aim of this multicenter evaluation is to prove the feasibility of the multicenter web-based data collection and to preliminary explore imaging findings and prediction of therapy response in patients with follicular lymphoma (FL) following radioimmuno therapy (RIT) with 90Y-ibritumomab tiuxetan. Patients, methods: We retrospectively analyzed and correlated clinical and imaging data (CT and FDG-PET) before and after RIT as documented by the RIT-Network. Evaluation of treatment response was done on both patient and lesion basis. Every measurable lesion was analyzed in terms of standardized uptake value (SUV), volume (CT and PET) and response. PF were identified using a uni- and multivariate model. A web-based system was used for the documentation and evaluation of clinical and imaging data. Results: 16 patients with at least one PET before and after RIT were eligible for analysis. Concerning response three months postRIT, 5 patients achieved a CR, 6 patients a PR and 4 patients remained with NC. A total of 159 lesions were measured (mean 10 ± 8). In the multivariate model the log lesion volume (p &lt; 0.0001), the total (p = 0.03) and maximum lesion volume (p = 0.05) were predictors for response (CR + PR). Concerning the lesional CR initial small lesion volume (p = 0.009) and its high metabolic activity (p = 0.01) were identified as predictors. The web-based system showed no major disturbances allowing secure data transfer and central image interpretation in a reasonable time. Conclusion: The use of a web-based multicenter archiving system for clinical and imaging data is technically feasible in a multicenter setting and allows a central analysis. This preliminary analysis suggests that FDG-PET may predict the likelihood of response to RIT.

Preliminary clinical applications of a device-dedicated whole-body positron emission tomography reconstruction method: impact on standardized uptake values

¹⁸F-fluorodeoxyglucose positron emission tomography has proven relevance in oncological diagnosis, staging and follow-up. The standardized uptake value (SUV) is one of the most widely used semi-quantitative criteria in PET imaging. However, factors such as noise and image resolution affect the measurement of the SUV. We reported earlier that a device-dedicated projector [attenuation-weighted ordered-subsets expectation maximization detector response (AW-OSEM DR), based on point-source measurements] introduces less noise than a geometrical model (AW-OSEM). The aim of this study was to investigate the AW-OSEM DR method's impact on SUV measurements under clinical conditions. We first performed a bias analysis to assess the accuracy of the quantitation for the two reconstruction methods as a function of target size and the number of iterations, with 14 acquisitions of the NEMA IEC/2001 phantom. We then used each method to calculate the maximum and average SUVs, respectively for 32 lesions. For all spheres and all iterations, the bias was significantly lower with AW-OSEM DR than with AW-OSEM (P=0.012). Moreover, a paired Student's t-test showed significant intermethod differences for maximum SUV and average SUV (both P<0.001) in cancer patients. Conversely, the two methods did not differ significantly in terms of the mean SUV and signal-to-noise ratio calculated in the liver for each patient (P=0.5 and 0.08, respectively). Phantom and patient studies were performed to quantify the effects of AW-OSEM DR on PET images. The phantom study highlighted the fact that our method produces more accurate images in terms of the SUV, which is an essential quality for ensuring correct diagnosis, follow-up and treatment planning.

Effect of Hepatic Steatosis on Liver FDG Uptake Measured in Mean Standard Uptake Values

To evaluate the association between diffuse fatty infiltration of the liver and average fluorine 18 fluorodeoxyglucose (FDG) uptake in the liver. Institutional review board approval was obtained for this study; the requirement for informed patient consent was waived. Consecutive nonenhanced whole-body hybrid FDG positron emission tomographic (PET)-computed tomographic (CT) scans obtained in 142 patients (mean age, 63.6 years; age range, 19-94 years) from October 1, 2008, to November 28, 2008, were retrospectively reviewed. Mean attenuation (in Hounsfield units) and standardized uptake value (SUV) measurements for the liver and spleen were obtained, with identical regions of interest used for the CT and PET examinations. The patients were assigned to three study groups: a control group-119 patients with a mean liver attenuation value greater than or equal to the mean spleen attenuation value, a diffuse fatty liver disease group-23 patients in whom the mean liver attenuation value was less than the mean spleen attenuation value, and a more strictly defined fatty liver disease group-a subset of 10 patients from the diffuse fatty liver disease group with a mean liver attenuation value minus mean spleen attenuation value difference of less than or equal to -10 HU. Mean SUV (SUV(m)) values were compared between the groups by using a two-sample t test for means. The association between mean liver attenuation and average FDG uptake was assessed with linear regression analysis. The average SUV(m)for the control group was 2.18 (standard deviation [SD], 0.36; 95% confidence interval [CI]: 2.12, 2.24). No significant difference was identified when the average SUV(m)for the control group was compared with those for the fatty liver disease (SUV(m), 2.03; SD, 0.36; 95% CI: 1.90, 2.16) (P >.05) and more strictly defined fatty liver disease (SUV(m), 2.07; SD, 0.24; 95% CI: 1.92, 2.22) groups (P >.05). Linear regression analysis of liver SUV(m)as a function of mean liver attenuation revealed a mean slope of 0.005 (SD, 0.04; 95% CI: -0.005, 0.015) and a correlation coefficient of 0.02. No association between liver attenuation and FDG uptake measured in terms of SUV(m)was observed. On the basis of these data, it is acceptable to use the liver as a comparator for extrahepatic foci of equivocal increased FDG activity in patients with fatty liver disease. (c) RSNA, 2010.

Phased Versus Midventilation Attenuation-Corrected Respiration-Correlated PET for Patients with Non-Small Cell Lung Cancer

Respiration-correlated PET (RCPET) can reduce motion artifacts, but image quality generally decreases. The use of phase-by-phase attenuation correction (PAC) for RCPET using respiration-correlated CT (RCCT) requires large computational resources, and tumor positions will not always match correctly because of different binning methods for CT and PET. In this study, we investigated whether PAC for RCPET can be replaced by midventilation attenuation correction (MidV-AC) for a group of lung cancer patients. RCPET/CT scans of 19 non-small cell lung cancer patients were performed. List-mode PET and CT data were binned and reconstructed into 8 phases. Two AC methods for RCPET were applied. First, the corresponding 8 RCCT phases were used for PAC. Then MidV-AC was used. Analyses were performed in terms of standardized uptake values (SUVs), volume recovery, contrast, and signal-to-noise ratio (SNR). Average differences between PAC and MidV-AC for mean and maximum SUV were 1.0% and 0.9% (P = 0.007 and P = 0.002), respectively, whereas SNR, contrast, and volume did not differ significantly (P >or= 0.2). Large motion amplitudes and irregular breathing revealed larger differences between phase 1 and MidV-AC values. Differences in SUV, volume, SNR, and contrast between PAC as available in currently used clinical software and MidV-AC for RCPET are small. MidV-AC provides an excellent surrogate for PAC for most lung cancer patients encountered in clinical practice.

Monitoring Primary Systemic Therapy of Large and Locally Advanced Breast Cancer by Using Sequential Positron Emission Tomography Imaging With [18F]Fluorodeoxyglucose

To evaluate positron emission tomography (PET) using [(18)F]fluorodeoxyglucose (FDG) for prediction of histopathologic response early during primary systemic therapy of large or locally advanced breast cancer. In a prospective multicenter trial, 272 FDG-PET scans were performed in 104 patients at baseline (n = 104) and after the first (n = 87) and second cycle (n = 81) of chemotherapy. The level and relative changes in standardized uptake value (SUV) of FDG uptake were assessed regarding their ability to predict histopathologic response. All patients underwent surgery after chemotherapy, and histopathologic response defined as minimal residual disease or gross residual disease served as the reference standard. Seventeen (16%) of 104 patients were histopathologic responders and 87 were (84%) nonresponders. All patients for whom baseline SUV was less than 3.0 (n = 24) did not achieve a histopathologic response. SUV decreased by 51% +/- 18% after the first cycle of chemotherapy in histopathologic responders (n = 15), compared with 37% +/- 21% in nonresponders (n = 54; P = .01). A threshold of 45% decrease in SUV correctly identified 11 of 15 responders, and histopathologic nonresponders were identified with a negative predictive value of 90%. Similar results were found after the second cycle when using a threshold of 55% relative decrease in SUV. FDG-PET allows for prediction of treatment response by the level of FDG uptake in terms of SUV at baseline and after each cycle of chemotherapy. Moreover, relative changes in SUV after the first and second cycle are a strong predictor of response. Thus, FDG-PET may be helpful for individual treatment stratification in breast cancer patients.