The shoulder and axillary regions contain various complex anatomical structures in close proximity, many of which can give rise to neoplasms. Determining the origin and hence the exact diagnosis of advanced (diffuse) tumours in this region may become problematic. In view of the tumour morphology and the affected location in this case, we highlight the importance of Hodgkin lymphoma immunohistochemistry interpretation in a tumour which was initially suspected to be a soft tissue sarcoma.

INTRODUCTIONLocal data comparing laparoscopic appendicectomy (LA) and open appendicectomy (OA) is lacking. We perform a cost and outcome comparison between LA and OA.

MATERIALS AND METHODSA retrospective review of all appendicectomies performed for suspected appendicitis from July 2010 to December 2010 was conducted. Patient demographics, duration of surgery, complication rates, total cost of stay (COS) and length of stay (LOS) were compared between LA and OA.

RESULTSA total of 198 patients underwent appendicectomy during the duration of study; 82 LA and 116 OA. There were 115 males (58.1%) and 83 females (41.9%). Median age was 33 years. Patients who underwent LA were significantly younger (P <0.001) with a greater proportion of females (P <0.0001) and were more likely to be negative appendicectomies (18.3% vs. 6.9%, P = 0.023). Duration of surgery was significantly longer in LA patients (86 min vs. 74 min, P = 0.003). LOS in the LA group was shorter by 1.3 days compared to OA (2.0 days vs. 3.3 days, P <0.0001). The differences in operative duration and LOS between LA and OA remained significant on multivariate analysis (P = 0.001 and P = 0.008, respectively). The COS (P = 0.359), wound infection rates (P = 0.528) and complication rates (P = 0.131) were not significantly different between the 2 groups.

CONCLUSIONLA is associated with a shorter LOS while its cost is equivalent to OA. From the perspective of utilisation of healthcare resources, LA appears to be superior.

Adolescent ; Adult ; Aged ; Aged, 80 and over ; Appendectomy ; economics ; methods ; Costs and Cost Analysis ; Female ; Humans ; Laparoscopy ; Length of Stay ; Male ; Middle Aged ; Retrospective Studies ; Treatment Outcome ; Young Adult

Radiology (imaging) and imaging-guided interventions, which provide multi-parametric morphologic and functional information, are playing an increasingly significant role in precision medicine. Radiologists are trained to understand the imaging phenotypes, transcribe those observations (phenotypes) to correlate with underlying diseases and to characterize the images. However, in order to understand and characterize the molecular phenotype (to obtain genomic information) of solid heterogeneous tumours, the advanced sequencing of those tissues using biopsy is required. Thus, radiologists image the tissues from various views and angles in order to have the complete image phenotypes, thereby acquiring a huge amount of data. Deriving meaningful details from all these radiological data becomes challenging and raises the big data issues. Therefore, interest in the application of radiomics has been growing in recent years as it has the potential to provide significant interpretive and predictive information for decision support. Radiomics is a combination of conventional computer-aided diagnosis, deep learning methods, and human skills, and thus can be used for quantitative characterization of tumour phenotypes. This paper discusses the overview of radiomics workflow, the results of various radiomics-based studies conducted using various radiological images such as computed tomography (CT), magnetic resonance imaging (MRI), and positron-emission tomography (PET), the challenges we are facing, and the potential contribution of radiomics towards precision medicine.
Biomarkers, Tumor ; Diagnosis, Computer-Assisted ; Genome ; Genomics ; Humans ; Magnetic Resonance Imaging ; Neoplasms/therapy* ; Phenotype ; Positron-Emission Tomography ; Precision Medicine/methods* ; Radiology/methods* ; Radiology, Interventional/methods* ; Tomography, X-Ray Computed ; Workflow