Automatic Staging of Cancer Tumors Using AIM Image Annotations and Ontologies.

A second opinion about cancer stage is crucial when clinicians assess patient treatment progress. Staging is a process that takes into account description, location, characteristics, and possible metastasis of tumors in a patient. It should follow standards, such as the TNM Classification of Malignant Tumors. However, in clinical practice, the implementation of this process can be tedious and error prone. In order to alleviate these problems, we intend to assist radiologists by providing a second opinion in the evaluation of cancer stage. For doing this, we developed a TNM classifier based on semantic annotations, made by radiologists, using the ePAD tool. It transforms the annotations (stored using the AIM format), using axioms and rules, into AIM4-O ontology instances. From then, it automatically calculates the liver TNM cancer stage. The AIM4-O ontology was developed, as part of this work, to represent annotations in the Web Ontology Language (OWL). A dataset of 51 liver radiology reports with staging data, from NCI's Genomic Data Commons (GDC), were used to evaluate our classifier. When compared with the stages attributed by physicians, the classifier stages had a precision of 85.7% and recall of 81.0%. In addition, 3 radiologists from 2 different institutions manually reviewed a random sample of 4 of the 51 records and agreed with the tool staging. AIM4-O was also evaluated with good results. Our classifier can be integrated into AIM aware imaging tools, such as ePAD, to offer a second opinion about staging as part of the cancer treatment workflow.

Adrenal gland enhancement at MR imaging with Mn-DPDP.

PURPOSE: To determine adrenal gland enhancement with manganese (II) N,N' dipyridoxylethylenediamine-N,N'-diacetate 5,5'bis(phosphate) (DPDP) at magnetic resonance imaging. MATERIALS AND METHODS: After phase III trials, fat-suppressed, motion-compensated, T1-weighted spin-echo images (repetition time, 500 msec; echo time, 12 msec) of 13 consecutive patients were obtained at 1.5 T at one site, prior to and approximately 30 minutes after intravenous administration of 5 mumol/kg Mn-DPDP. Images were analyzed visually and by means of region-of-interest measurements, normalized to spleen. With data added from three more sites, enhancement of three adrenal adenomas and two metastases was analyzed. RESULTS: Twenty-five of 26 adrenal glands were depicted on MR images, and all showed enhancement. Mean adrenal enhancement (38%) was comparable to mean enhancement of liver (46%), pancreas (25%), and renal cortex (58%). Adrenal cortex and medulla could not be distinguished in nonenhanced or enhanced images. All three adrenal adenomas enhanced by more than 40%, but the metastases did not enhance. CONCLUSION: Functioning adrenal tissue (glands and at least some adenomas) are enhanced with Mn-DPDP.