Volumetric analysis of lung nodules in computed tomography (CT): comparison of two different segmentation algorithm softwares and two different reconstruction filters on automated volume calculation.

BACKGROUND A precise detection of volume change allows for better estimating the biological behavior of the lung nodules. Postprocessing tools with automated detection, segmentation, and volumetric analysis of lung nodules may expedite radiological processes and give additional confidence to the radiologists. PURPOSE To compare two different postprocessing software algorithms (LMS Lung, Median Technologies; LungCARE®, Siemens) in CT volumetric measurement and to analyze the effect of soft (B30) and hard reconstruction filter (B70) on automated volume measurement. MATERIAL AND METHODS Between January 2010 and April 2010, 45 patients with a total of 113 pulmonary nodules were included. The CT exam was performed on a 64-row multidetector CT scanner (Somatom Sensation, Siemens, Erlangen, Germany) with the following parameters: collimation, 24x1.2 mm; pitch, 1.15; voltage, 120 kVp; reference tube current-time, 100 mAs. Automated volumetric measurement of each lung nodule was performed with the two different postprocessing algorithms based on two reconstruction filters (B30 and B70). The average relative volume measurement difference (VME%) and the limits of agreement between two methods were used for comparison. RESULTS At soft reconstruction filters the LMS system produced mean nodule volumes that were 34.1% (P < 0.0001) larger than those by LungCARE® system. The VME% was 42.2% with a limit of agreement between -53.9% and 138.4%.The volume measurement with soft filters (B30) was significantly larger than with hard filters (B70); 11.2% for LMS and 1.6% for LungCARE®, respectively (both with P < 0.05). LMS measured greater volumes with both filters, 13.6% for soft and 3.8% for hard filters, respectively (P < 0.01 and P > 0.05). CONCLUSION There is a substantial inter-software (LMS/LungCARE®) as well as intra-software variability (B30/B70) in lung nodule volume measurement; therefore, it is mandatory to use the same equipment with the same reconstruction filter for the follow-up of lung nodule volume.

Urinary tract endometriosis in patients with deep infiltrating endometriosis: prevalence, symptoms, management, and proposal for a new clinical classification

OBJECTIVE To analyze the prevalence of urinary tract endometriosis (UTE) in patients with deep infiltrating endometriosis (DIE) and to define potential criteria for preoperative workup. DESIGN Retrospective study. SETTING University hospital. PATIENT(S) Six hundred ninety-seven patients with endometriosis. INTERVENTION(S) Excision of all endometriotic lesions. MAIN OUTCOME MEASURE(S) Correlation of preoperative features and intraoperative findings in patients with UTE. RESULT(S) Out of 213 patients presenting DIE, 52.6% suffered from UTE. In patients with ureteral endometriosis, symptoms were not specific. Among the patients with bladder endometriosis, 68.8% complained of urinary symptoms compared to 7.9% in the group of patients without UTE. In patients with rectovaginal endometriosis, the probability of ureterolysis showed a linear correlation with the size of the nodule. We found that 3 cm in diameter provided a specific cutoff value for the likelihood of ureteric involvement. CONCLUSION(S) The prevalence of UTE has often been underestimated. Preoperative questioning is important in the search for bladder endometriosis. The size of the nodule is one of the few reliable criteria in preoperative assessment that can suggest ureteric involvement. We propose a classification of ureteral endometriosis that will allow the standardization of terminology and help to compare the outcome of different surgical treatment in randomized studies.