A computer-aided algorithm to quantitatively predict lymph node status on MRI in rectal cancer.

OBJECTIVE: The aim of this study was to demonstrate the principle of supporting radiologists by using a computer algorithm to quantitatively analyse MRI morphological features used by radiologists to predict the presence or absence of metastatic disease in local lymph nodes in rectal cancer. METHODS: A computer algorithm was developed to extract and quantify the following morphological features from MR images: chemical shift artefact; relative mean signal intensity; signal heterogeneity; and nodal size (volume or maximum diameter). Computed predictions on nodal involvement were generated using quantified features in isolation or in combinations. Accuracies of the predictions were assessed against a set of 43 lymph nodes, determined by radiologists as benign (20 nodes) or malignant (23 nodes). RESULTS: Predictions using combinations of quantified features were more accurate than predictions using individual features (0.67-0.86 vs 0.58-0.77, respectively). The algorithm was more accurate when three-dimensional images were used (0.58-0.86) than when only middle image slices (two-dimensional) were used (0.47-0.72). Maximum node diameter was more accurate than node volume in representing the nodal size feature; combinations including maximum node diameter gave accuracies up to 0.91. CONCLUSION: We have developed a computer algorithm that can support radiologists by quantitatively analysing morphological features of lymph nodes on MRI in the context of rectal cancer nodal staging. We have shown that this algorithm can combine these quantitative indices to generate computed predictions of nodal status which closely match radiological assessment. This study provides support for the feasibility of computer-assisted reading in nodal staging, but requires further refinement and validation with larger data sets.

Acute angle closure glaucoma following head and orbital trauma.

The case is reported of a 52-year-old woman who suffered a minor head injury and orbital trauma and returned 2 days later with a unilateral headache, vomiting and photophobia. This was initially thought to be secondary to her head injury but, once severe visual impairment and a dilated unreactive pupil developed, the true diagnosis became obvious. A diagnosis of acute angle closure glaucoma was made and she was treated with no complications. This case highlights acute angle closure glaucoma as an important diagnosis to consider in patients who present with unilateral headache and dilated pupil after head injury.

High-resolution analysis of chromosome rearrangements on 8p in breast, colon and pancreatic cancer reveals a complex pattern of loss, gain and translocation.

The short arm of chromosome 8, 8p, is often rearranged in carcinomas, typically showing distal loss by unbalanced translocation. We analysed 8p rearrangements in 48 breast, pancreatic and colon cancer cell lines by fluorescence in situ hybridization (FISH) and array comparative genomic hybridization, with a tiling path of 0.2 Mb resolution over 8p12 and 1 Mb resolution over chromosome 8. Selected breast lines (MDA-MB-134, MDA-MB-175, MDA-MB-361, T-47D and ZR-75-1) were analysed further. Most cell lines showed loss of 8p distal to a break that was between 31 Mb (5' to NRG1) and the centromere, but the translocations were accompanied by variable amplifications, deletions and inversions proximal to this break. The 8p12 translocation in T-47D was flanked by an inversion of 4 Mb, with a 100 kb deletion at the proximal end. The dicentric t(8;11) in ZR-75-1 carries multiple rearrangements including interstitial deletions, a triplicated translocation junction between NRG1 and a fragment of 11q (unconnected to CCND1), and two separate amplifications, of FGFR1 and CCND1 . We conclude that if there is a tumour suppressor gene on 8p it may be near 31 Mb, for example WRN; but the complexity of 8p rearrangements suggests that they target various genes proximal to 31 Mb including NRG1 and the amplicon centred around ZNF703/FLJ14299.