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Scientific Session 1 — Breast Imaging: Mammography

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Friday<strong>Scientific</strong> <strong>Session</strong> 27—Pediatric <strong>Imaging</strong>for evaluation of the amount of water absorbed from the administeredcontrast agent and provides information for choosing a contrast agentbased on preference(s) in regard to desired attenuation.229. CT Volumetry for Assessment of Response of Advanced GastricCarcinoma to Neoadjuvant Chemotherapy: Preliminary FindingsHallinan, J.*; Venkatesh, S.; Yong, W.; So, J. National University HealthSystem, Singapore, SingaporeAddress correspondence to J. Hallinan (jim.hallinan@gmail.com)Objective: Assessment of response of advanced gastric carcinoma (AGC) toneoadjuvant chemotherapy with CT is currently either qualitative or semiquantitative.We describe our preliminary experience with CT volumetry forassessment of treatment response of AGC to neoadjuvant chemotherapy.Materials and Methods: Thirteen patients with AGC underwent two CTstudies, before and after neoadjuvant chemotherapy. The mean intervalbetween scans was 59 days (range, 44–97 days). Tumor volume (TV)and maximal tumor thickness (MTT) of AGC before and after neoadjuvantchemotherapy were measured on axial CT images using ImageJsoftware. TV was obtained by manually tracing the outline of the tumorsin each individual CT slice demonstrating the tumor. The histopathologicalresponse to chemotherapy was defined as greater than 50% reductionin viable tumor in the resected specimens. Receiver operatingcharacteristic (ROC) analysis was performed for determining accuracyof response assessment.Results: The mean reduction in TV was 32% (95% CI, 23.9–40.4%)and that of MTT was 7.5% (95% CI, –2.3 to 17%). Nine patients underwentsurgery subsequently after a mean interval of 47 days (range,14 to 78 days) following the last CT scan. Five total and four subtotalgastrectomies were performed. Final staging of tumors was stage II infour patients, stage III in two patients, and stage IV in three patients.Histopathological response was seen in four of the nine patients. WithROC analysis, prediction of histological response with TV had a sensitivityof 100%, specificity of 80%, positive predictive value of 80%,and an accuracy of 0.8 (p value of 0.13). In comparison, MTT hada sensitivity of 100%, specificity of 40%, positive predictive valueof 57%, and an accuracy of 0.55 (p = 0.83). Using the ResponseEvaluation Criteria in Solid Tumors guideline of 30% reduction asradiological response, TV and MTT had positive predictive values of67% and 50%, respectively.Conclusion: Our preliminary study results show that CT volumetry issuperior to maximal tumor thickness in predicting treatment responsein advanced gastric carcinoma following neoadjuvant chemotherapy. CTvolumetry therefore may be useful for assessing suitability for subsequentcurative surgery for advanced gastric carcinoma.230. Motion Artifact Removal by Retrospective ResolutionReduction: A New Algorithm for Robust Body MRIBookwalter, C. 1 *; Seiberlich, N. 1 ; Griswold, M. 1,2 ; Gulani, V. 1 1.University Hospitals Case Medical Center, Cleveland, OH; 2. CaseWestern Reserve University, Cleveland, OHAddress correspondence to C. Bookwalter (candice.bookwalter@uhhospitals.org)Objective: Motion artifacts in MR images often appear as ghosting artifacts,which may obscure clinical information. MR abdominal imaging is especiallyadversely affected by motion artifact due to breathing. Often, failedbreath-holds are identified after image acquisition, and no robust method forsalvaging the images is available. Assuming that a patient can initially holdtheir breath but may fail sometime during the acquisition, there will be a transitionbetween data uncorrupted and data corrupted by motion. In this study,the transition between motion-free and motion-corrupted data is identified byemploying a centric acquisition and a novel algorithm called Motion ArtifactRemoval by Retrospective Reduction (MARs). Although this method yieldsan image with lower resolution, the image is uncorrupted by motion artifacts,thereby offering a diagnostic examination.Materials and Methods: In this institutional review board–approved study,fully sampled 3D volumetric interpolated breath-hold examination (VIBE)datasets through the liver were obtained for three volunteers on a Siemens1.5-T Espree scanner. Multiple datasets were acquired such that each volunteerresumed breathing when 20%, 50%, 70%, and 100% of the data wereacquired. A single partition of each 3D dataset was entirely duplicated usinggeneralized autocalibrating partial parallel acquisition (GRAPPA) in orderto obtain GRAPPA navigators for each phase encode (PE) line. Correlationcoefficients were calculated for each pair of PE lines (i.e., acquired PE lineand navigator line). A boxcar function was fit to the correlation coefficientsto identify the transition. PE lines acquired after the identified transition werereplaced with zeros. The 3D dataset were then reconstructed.Results: Correlation coefficients demonstrate an abrupt decrease at thetransition from breath-hold to motion-corrupted data. This transition wassuccessfully identified by a fitted boxcar function. Removal of motioncorrupteddata by zero padding resulted in lower resolution images,which were free of respiratory motion artifacts.Conclusion: MARs was shown to be capable of detecting the transition betweenbreath-hold and free breathing during a 3D acquisition, allowing recoveryof lower resolution but motion-free images. This technique will allowthe generation of clinically useful images even in the presence of motion, ina fully automated, retrospective manner. It can be applied by a technologistas no qualitative image assessment is necessary and will be particularly usefulin timed contrast-enhanced images, when repeat imaging is impossible.<strong>Scientific</strong> <strong>Session</strong> 27 — Pediatric<strong>Imaging</strong>Friday, May 6, 2011Abstracts 231-239231. Have Advances in Ultrasound Technology Improved the Abilityto Diagnose Periventricular Leukomalacia on Ultrasound?Wolfman, D.*; White, J.; Lewis, P.; Allison, S. Georgetown UniversityHospital, Washington, DCAddress correspondence to D. Wolfman (darcywolfman@yahoo.com)Objective: To determine if advances in ultrasound technology have improvedthe sensitivity, specificity, negative predictive value (NPV), andpositive predictive value (PPV) of ultrasound for the diagnosis of periventricularleukomalacia (PVL).*Will present paperA87

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