Computer-aided Detection in Computed Tomography Colonography with Full Fecal Tagging: Comparison of Standalone Performance of 3 Automated Polyp Detection Systems

AbstractPurposeWe sought to compare the performance of 3 computer-aided detection (CAD) polyp algorithms in computed tomography colonography (CTC) with fecal tagging.MethodsCTC data sets of 33 patients were retrospectively analysed by 3 different CAD systems: system 1, MedicSight; system 2, Colon CAD; and system 3, Polyp Enhanced View. The polyp database comprised 53 lesions, including 6 cases of colorectal cancer, and was established by consensus reading and comparison with colonoscopy. Lesions ranged from 6-40 mm, with 25 lesions larger than 10 mm in size. Detection and false-positive (FP) rates were calculated.ResultsCAD systems 1 and 2 could be set to have varying sensitivities with higher FP rates for higher sensitivity levels. Sensitivities for system 1 ranged from 73%–94% for all lesions (78%–100% for lesions ≥10 mm) and, for system 2, from 64%–94% (78%–100% for lesions ≥10 mm). System 3 reached an overall sensitivity of 76% (100% for lesions ≥10 mm). The mean FP rate per patient ranged from 8–32 for system 1, from 1–8 for system 2, and was 5 for system 3. At the highest sensitivity level for all polyps (94%), system 2 showed a statistically significant lower FP rate compared with system 1 (P = .001). When analysing lesions ≥10 mm, system 3 had significantly fewer FPs than systems 1 and 2 (P < .012).ConclusionsStandalone CTC-CAD analysis in the selected patient collective showed the 3 systems tested to have a variable but overall promising performance with respect to sensitivity and the FP rate

The International Association for the Study of Lung Cancer Early Lung Imaging Confederation.

PurposeTo improve outcomes for lung cancer through low-dose computed tomography (LDCT) early lung cancer detection. The International Association for the Study of Lung Cancer is developing the Early Lung Imaging Confederation (ELIC) to serve as an open-source, international, universally accessible environment to analyze large collections of quality-controlled LDCT images and associated biomedical data for research and routine screening care.MethodsELIC is an international confederation that allows access to efficiently analyze large numbers of high-quality computed tomography (CT) images with associated de-identified clinical information without moving primary imaging/clinical or imaging data from its local or regional site of origin. Rather, ELIC uses a cloud-based infrastructure to distribute analysis tools to the local site of the stored imaging and clinical data, thereby allowing for research and quality studies to proceed in a vendor-neutral, collaborative environment. ELIC's hub-and-spoke architecture will be deployed to permit analysis of CT images and associated data in a secure environment, without any requirement to reveal the data itself (ie, privacy protecting). Identifiable data remain under local control, so the resulting environment complies with national regulations and mitigates against privacy or data disclosure risk.ResultsThe goal of pilot experiments is to connect image collections of LDCT scans that can be accurately analyzed in a fashion to support a global network using methodologies that can be readily scaled to accrued databases of sufficient size to develop and validate robust quantitative imaging tools.ConclusionThis initiative can rapidly accelerate improvements to the multidisciplinary management of early, curable lung cancer and other major thoracic diseases (eg, coronary artery disease and chronic obstructive pulmonary disease) visualized on a screening LDCT scan. The addition of a facile, quantitative CT scanner image quality conformance process is a unique step toward improving the reliability of clinical decision support with CT screening worldwide

Application of the three-dimensional maximum mode in prenatal diagnosis of Apert syndrome

Apert syndrome is a rare disorder characterized by coronal craniosynostosis, syndactyly, brachycephaly, midfacial hypoplasia, and central nervous system anomalies, among other malformations. We present a case of Apert syndrome examined at 22 + 0 weeks' gestation. Three-dimensional maximum mode was decisive for the correct prenatal diagnosis by demonstrating the cranial deformities

Prevention of disease progression in a patient with a gastric cancer-re-recurrence. Outcome after intravenous treatment with the novel antineoplastic agent taurolidine. Report of a case

<p>Abstract</p> <p>Background</p> <p>Taurolidine (TRD) is a novel agent with multimodal antineoplastic effects. We present the case of a tumor remission after intravenous administration of taurolidine in a patient with gastric cancer re-recurrence.</p> <p>Case presentation</p> <p>A 58 years old male patient suffering from a gastric adenocarcinoma was submitted to partial gastrectomy and partial liver resection (pT2, pN1, pM1_L(liver segment 2), N0, V0). 24 months later a local recurrence was diagnosed and the patient was reoperated. Postoperatively the patient underwent a palliative chemotherapy with eloxatin, FU, and leucovorin. A subsequent CT-revealed a liver metastasis and a recurrence adjacent to the hepatic artery. After successful radiofrequency ablation of the liver metastasis the patient was intravenously treated with 2% taurolidine. The patient endured the therapy well and no toxicity was observed. CT-scans revealed a stable disease without a tumor progression or metastatic spread. After 39 cycles the patient was submitted to left nephrectomy due to primary urothelial carcinoma and died 2 days later due to myocardial infarction. Postmortem histology of the esophageal-jejunal anastomosis and liver revealed complete remission of the known metastasized gastric adenocarcinoma.</p> <p>Conclusion</p> <p>The intravenous treatment with 2% taurolidine led to a histological remission of the tumor growth without any toxicity for the patient.</p