Learning anatomy changes from patient populations to create artificial CT images for voxel-level validation of deformable image registration.

The purpose of this study was to develop an approach to generate artificial computed tomography (CT) images with known deformation by learning the anatomy changes in a patient population for voxel-level validation of deformable image registration. Using a dataset of CT images representing anatomy changes during the course of radiation therapy, we selected a reference image and registered the remaining images to it, either directly or indirectly, using deformable registration. The resulting deformation vector fields (DVFs) represented the anatomy variations in that patient population. The mean deformation, computed from the DVFs, and the most prominent variations, which were captured using principal component analysis (PCA), composed an active shape model that could generate random known deformations with realistic anatomy changes based on those learned from the patient population. This approach was applied to a set of 12 head and neck patients who received intensity-modulated radiation therapy for validation. Artificial planning CT and daily CT images were generated to simulate a patient with known anatomy changes over the course of treatment and used to validate the deformable image registration between them. These artificial CT images potentially simulated the actual patients' anatomies and also showed realistic anatomy changes between different daily CT images. They were used to successfully validate deformable image registration applied to intrapatient deformation.

Development and validation of a rapid and robust method to determine visceral adipose tissue volume using computed tomography images.

BACKGROUND: Visceral adiposity is a risk factor for many chronic diseases. Existing methods to quantify visceral adipose tissue volume using computed tomographic (CT) images often use a single slice, are manual, and are time consuming, making them impractical for large population studies. We developed and validated a method to accurately, rapidly, and robustly measure visceral adipose tissue volume using CT images. METHODS: In-house software, Medical Executable for the Efficient and Robust Quantification of Adipose Tissue (MEERQAT), was developed to calculate visceral adipose tissue volume using a series of CT images within a manually identified region of interest. To distinguish visceral and subcutaneous adipose tissue, ellipses are drawn through the rectus abdominis and transverse abdominis using manual and automatic processes. Visceral and subcutaneous adipose tissue volumes are calculated by counting the numbers of voxels corresponding to adipose tissue in the region of interest. MEERQAT's ellipse interpolation method was validated by comparing visceral adipose volume from 10 patients' CT scans with corresponding results from manually delineated scans. Accuracy of visceral adipose quantification was tested using a phantom consisting of animal fat and tissues. Robustness of the method was tested by determining intra-observer and inter-observer coefficients of variation (CV). RESULTS: The mean difference in visceral adipose tissue volume between manual and elliptical delineation methods was -0.54 ± 4.81%. In the phantom, our measurement differed from the known adipose volume by ≤ 7.5% for all scanning parameters. Mean inter-observer CV for visceral adipose tissue volume was 0.085, and mean intra-observer CV for visceral adipose tissue volume was 0.059. CONCLUSIONS: We have developed and validated a robust method of accurately and quickly determining visceral adipose tissue volume in any defined region of interest using CT imaging.

Pilot study of a computed tomography-compatible shielded intracavitary brachytherapy applicator for treatment of cervical cancer.

PURPOSE: The traditional Fletcher-Williamson tandem and ovoid brachytherapy applicators for treatment of cervical cancer have ovoid shields that reduce the dose to the bladder and rectum. However, these shields produce artifact on computed tomography (CT) that prevents acquisition of high-quality images. To address this limitation, we designed and tested a novel CT-compatible applicator with movable shields, called MDA(3). METHODS AND MATERIALS: Fifteen patients with stage IB1-IIB cervical cancer requiring definitive radiation therapy were enrolled in a prospective pilot study to evaluate image quality with the MDA(3). Image quality was assessed by comparing an initial scan obtained with the shields shifted to minimize shield artifact to a second scan obtained with the shields in treatment position. The 2 scans were then compared by a radiation oncologist blinded to the image source. In addition, image quality was assessed by analysis of Hounsfield values in the normal tissues. RESULTS: The MDA(3) was successfully employed for intracavitary brachytherapy in 15 patients. CT images obtained with the shields shifted were superior to CT images obtained with the shields in treatment position in every case as evaluated by the radiation oncologist (P < .0001). The presence of the shields in the treatment position significantly increased the mean Hounsfield values within the bladder (P = .002) and rectum (P = .001) due to high-density image artifact. CONCLUSIONS: This novel applicator provides a clinically feasible solution to overcome the limitation of lack of ovoid shields on currently available CT-compatible applicators.

A comparison of tumor motion characteristics between early stage and locally advanced stage lung cancers.

PURPOSE: With the increasing use of conformal radiation therapy methods for non-small cell lung cancer (NSCLC), it is necessary to accurately determine respiratory-induced tumor motion. The purpose of this study is to analyze and compare the motion characteristics of early and locally advanced stage NSCLC tumors in a large population and correlate tumor motion with position, volume, and diaphragm motion. METHODS AND MATERIALS: A total of 191 (94 early stage, 97 locally advanced) non-small cell lung tumors were analyzed for this study. Each patient received a four-dimensional CT scan prior to receiving radiation treatment. A soft-tissue-based rigid registration algorithm was used to track the tumor motion. Tumor volumes were determined based on the gross tumor volume delineated by physicians in the end of expiration phase. Tumor motion characteristics were correlated with their standardized tumor locations, lobe location, and clinical staging. Diaphragm motion was calculated by subtracting the diaphragm location between the expiration and the inspiration phases. RESULTS: Median, max, and 95th percentile of tumor motion for early stage tumors were 5.9 mm, 31.0 mm, and 20.0 mm, which were 1.2 mm, 12 mm, and 7 mm more than those in locally advanced NSCLC, respectively. The range of motion at 95th percentile is more than 50% larger in early stage lung cancer group than in the locally advanced lung cancer group. Early stage tumors in the lower lobe showed the largest motion with a median motion of 9.2mm, while upper/mid-lobe tumors exhibited a median motion of 3.3mm. Tumor volumes were not correlated with motion. CONCLUSION: The range of tumor motion differs depending on tumor location and staging of NSCLC. Early stage tumors are more mobile than locally advanced stage NSCLC. These factors should be considered for general motion management strategies when 4D simulation is not performed on individual basis.