[18F]fluorodeoxyglucose positron emission tomography/computed tomography in combination with clinical data in predicting overall survival in non-small-cell lung cancer patients: A retrospective study

INTRODUCTION

Positron emission tomography/computed tomography (PET/CT) has an established role in evaluating patients with lung cancer. The aim of this work was to assess the predictive capability of [18F]Fluorodeoxyglucose ([18F]FDG) PET/CT parameters on overall survival (OS) in lung cancer patients using an artificial neural network (ANN) in parallel with conventional statistical analysis.

METHODS

Retrospective analysis was performed on a group of 165 lung cancer patients (98M, 67F). PET features associated with the primary tumor: maximum and mean standardized uptake value (SUVmax, SUVmean), total lesion glycolysis (TLG) metabolic tumor volume (MTV) and area under the curve-cumulative SUV histogram (AUC-CSH) and metastatic lesions (SUVmaxtotal, SUVmeantotal, TLGtotal, and MTVtotal) were evaluated. In parallel with conventional statistical analysis (Chi-Square analysis for nominal data, Student's t test for continuous data), the data was evaluated using an ANN. There were 97 input variables in 165 patients using a binary classification of either below, or greater than/equal to median survival post primary diagnosis. Additionally, phantom study was performed to assess the most optimal contouring method.

RESULTS

Males had statistically higher SUVmax (mean: 10.7 vs 8.9; p = 0.020), MTV (mean: 66.5 cm3 vs. 21.5 cm3; p = 0.001), TLG (mean 404.7 vs. 115.0; p = 0.003), TLGtotal (mean: 946.7 vs. 433.3; p = 0.014) and MTVtotal (mean: 242.0 cm3 vs. 103.7 cm3; p = 0.027) than females. The ANN after training and validation was optimised with a final architecture of 4 scaling layer inputs (TLGtotal, SUVmaxtotal, SUVmeantotal and disease stage) and receiving operator characteristic (ROC) analysis demonstrated an AUC of 0.764 (sensitivity of 92.3%, specificity of 57.1%).

CONCLUSION

Conventional statistical analysis and the ANN provided concordant findings in relation to variables that predict decreased survival. The ANN provided a weighted algorithm of the 4 key features to predict decreased survival.

IMPLICATION FOR PRACTICE

Identification of parameters which can predict survival in lung cancer patients might be helpful in choosing the group of patients who require closer look during the follow-up.

The utility of 18F-FDG PET/CT in brain tumours diagnosis

Background

The purpose of the study was to discuss whether 2-deoxy-2-[18F]fluoro-D-glucose positron emission tomography/computed tomography (¹⁸F-FDG PET/CT) study protocol should include brain imaging.

Materials and methods

Analysis of international societies recommendations compared with the original data obtained in over 1000 consecutive torso and brain ¹⁸F-FDG PET/CT studies collected in 2010.

Results

According to the international societies recommendations, the ¹⁸F-FDG should not be the radiotracer of choice considering the brain region PET/CT study. However, it can be performed as an additional brain imaging tool. Based on at least a 3-year follow-up, we detected 8 cases of suspicious brain findings and no primary lesion among over 1000 consecutive torso and brain 18F-FDG PET/CT scans performed in 2010. However, in 5 out of 8 patients, the brain lesion was the only metastasis detected, affecting further therapy.

Conclusions

The ¹⁸F-FDG PET/CT study may help detect malignant brain lesions and, therefore, including brain region imaging into the study protocol should be considered.

Differences among [18F]FDG PET-derived parameters in lung cancer produced by three software packages

Investigation of differences in derived [18F]FDG PET metabolic and volumetric parameters among three different software programs in lung cancer. A retrospective analysis was performed on a group of 98 lung cancer patients who underwent a baseline [18F]FDG PET/CT study. To assess appropriate delineation methods, the NEMA phantom study was first performed using the following software: Philips EBW (Extended Brilliance Workstation), MIM Software and Rover. Based on this study, the best cut-off methods (dependent on tumour size) were selected, extracted and applied for lung cancer delineation. Several semiquantitative [18F]FDG parameters (SUVmax, SUVmean, TLG and MTV) were assessed and compared among the three software programs. The parameters were assessed based on body weight (BW), lean body mass (LBM) and Bq/mL. Statistically significant differences were found in SUVmean (LBM) between MIM Software and Rover (4.62 ± 2.15 vs 4.84 ± 1.20; p < 0.005), in SUVmean (Bq/mL) between Rover and Philips EBW (21,852.30 ± 21,821.23 vs 19,274.81 ± 13,340.28; p < 0.005) and Rover and MIM Software (21,852.30 ± 21,821.23 vs 19,399.40 ± 10,051.30; p < 0.005), and in MTV between MIM Software and Philips EBW (19.87 ± 25.83 vs 78.82 ± 228.00; p = 0.0489). This study showed statistically significant differences in the estimation of semiquantitative parameters using three independent image analysis tools. These findings are important for performing further diagnostic and treatment procedures in lung cancer patients.

First case of acrometastases to the wrist reported from penile cancer

Penile cancer is a rarely diagnosed cancer that affects 0.4%-0.6% of all male population. Metastases to the bones from various human cancers are common; however, acrometastases are extremely rare with the most common primary tumor from lung, kidney, and breast. We report the first case of a patient with acrometastases to the left wrist reported from penile cancer.

Comparison of three different phantoms used for Winston-Lutz test with Artiscan software

Background

One of the most important test in every quality assurances process of medical linear accelerators is the Winston-Lutz test, allowing an evaluation of the treatment isocentre in the light of uncertainty of the position of the collimator, the gantry and the couch.

Aim

The purpose of this work was analysis of the results of the Winston-Lutz test performed with three different phantoms for two different accelerators.

Materials and methods

Measurements were performed on two Varian machines: TrueBeam equipped with aS1200 EPID and TrueBeam equipped with aS1000 EPID. During the study three different phantoms dedicated for verification of the radiation isocentre were used: PTW Isoball, AQUILAB Isocentre Phantom and Varian Isocentre Cube. Analysis of the DICOM images was performed in Artiscan software.

Results

For TrueBeam with as1200 EPID, gantry MV isocentre was about 0.18 mm larger for Varian Isocentre Cube than for two other phantoms used in this study. The largest variability of this parameter was observed for the couch. The results differed to 1.16 mm. For TrueBeam with as1000 EPID, results for collimator isocentre with PTW Isoball phantom were about 0.10 mm larger than for two other phantoms. For the gantry, results obtained with Varian Isocentre Cube were 0.21 mm larger.

Conclusion

The obtained results for all three phantoms are within the accepted tolerance range. The largest differences were observed for treatment couch, which may be related to the phantom mobility during couch movement.

Noncompliance with drug therapy for chronic obstructive pulmonary disease: a risk factor for hospitalization?

OBJECTIVE

To determine if patients who were noncompliant with prescribed medications for chronic obstructive pulmonary disease (COPD) had higher rates of hospitalization.

METHODS

A retrospective case-control study was performed in a tertiary-care university-affiliated Veterans Administration Health Care System setting. Subjects included 93 patients hospitalized for exacerbation of COPD and 93 controls with a diagnosis of COPD who did not require hospitalization. Utilizing pharmacy prescription fill records, medication noncompliance rates of patients who required hospitalization for exacerbation of COPD were compared with patients who did not require such hospitalization.

RESULTS

The mean noncompliance ratio for the hospitalized patients was lower than the ratio for the controls (0.19 vs. 0.20) although the difference was not statistically significant (P = .95). There was no statistically significant difference between the demographics of the two groups. However, the patients who were hospitalized had a significantly greater number of COPD and nonCOPD medications (P < .0001, P < .0001) prescribed. They also had significantly more nonCOPD admissions and lengths of stay (P = .02, P = .01).

CONCLUSION

At the levels of medication noncompliance observed in this population, there was no difference in rates of hospitalization. Hospitalization could be attributed to other causes such as severity of illness and existence of other comorbid conditions. The effects of environmental pollution and cigarette smoking were not studied.

KEYWORDS

chronic obstructive pulmonary disease; hospitalization, noncompliance; risk factors.

The clinical effectiveness and financial impact of utilizing peripheral blood progenitor cells as rescue therapy following autologous bone marrow transplant

The use of peripheral blood progenitor cell transplant as rescue therapy after high-dose chemotherapy and autologous bone marrow transplant significantly decreases transfusion, laboratory, room, and total charges. An improvement in clinical indicators also points toward decreased patient morbidity. Additional cost reductions may be realized by greater utilization of outpatient care, thereby further reducing room and total charges.