Laparoscopic Resection of the Middle Bile Duct for Cholangiocarcinoma (with Video).

BACKGROUND: Surgical resection remains the sole approach to achieving long-term survival in cholangiocarcinoma cases. The universally recognised standard procedures for such cases include pancreaticoduodenectomy (PD) or hemihepatectomy accompanied by bile duct reconstruction. Nevertheless, some patients may still attain curative intent through bile duct segmental resection (BDR). However, these procedures are still in the experimental stage and should only be recommended for carefully chosen patients. METHODS: A 57-year-old male patient was admitted to our department after two weeks of escalating jaundice and abdominal discomfort. Upon admission, his total bilirubin was recorded at 102 µmol/L, and his direct bilirubin was 87 µmol/L. His carbohydrate antigen 19-9 (CA 19-9), carcinoembryonic antigen (CEA) and alpha fetoprotein (AFP) levels were normal. Enhanced computed tomography (CT) and magnetic resonance imaging (MRI) scans revealed a thickened and enhanced biliary tree extending from the cystic duct junction to the common hepatic duct no vascular invasion indicated by three-dimensional reconstruction. RESULTS: The patient underwent laparoscopic resection of the extrahepatic bile duct, accompanied by radical lymphadenectomy with skeletonisation and biliary reconstruction, was successfully conducted within 320 min, with a minimal blood loss of only 50 ml. The histological grading of the procedure was T2bN0M0 (stage II). The patient was discharged on the sixth postoperative day without complications. Following this, he underwent a regimen of single-agent capecitabine chemotherapy. After an 18-month follow-up period, no recurrence was observed. CONCLUSIONS: Our experience suggests that in selected patients diagnosed with middle bile duct cholangiocarcinoma, laparoscopic resection could potentially reach the standard of lymphadenectomy through skeletonisation.

Reconstructing microvascular network skeletons from 3D images: What is the ground truth?

Structural changes to microvascular networks are increasingly highlighted as markers of pathogenesis in a wide range of disease, e.g. Alzheimer's disease, vascular dementia and tumour growth. This has motivated the development of dedicated 3D imaging techniques, alongside the creation of computational modelling frameworks capable of using 3D reconstructed networks to simulate functional behaviours such as blood flow or transport processes. Extraction of 3D networks from imaging data broadly consists of two image processing steps: segmentation followed by skeletonisation. Much research effort has been devoted to segmentation field, and there are standard and widely-applied methodologies for creating and assessing gold standards or ground truths produced by manual annotation or automated algorithms. The Skeletonisation field, however, lacks widely applied, simple to compute metrics for the validation or optimisation of the numerous algorithms that exist to extract skeletons from binary images. This is particularly problematic as 3D imaging datasets increase in size and visual inspection becomes an insufficient validation approach. In this work, we first demonstrate the extent of the problem by applying 4 widely-used skeletonisation algorithms to 3 different imaging datasets. In doing so we show significant variability between reconstructed skeletons of the same segmented imaging dataset. Moreover, we show that such a structural variability propagates to simulated metrics such as blood flow. To mitigate this variability we introduce a new, fast and easy to compute super metric that compares the volume, connectivity, medialness, bifurcation point identification and homology of the reconstructed skeletons to the original segmented data. We then show that such a metric can be used to select the best performing skeletonisation algorithm for a given dataset, as well as to optimise its parameters. Finally, we demonstrate that the super metric can also be used to quickly identify how a particular skeletonisation algorithm could be improved, becoming a powerful tool in understanding the complex implication of small structural changes in a network.

Skeletonisation contributing to a reduction of sternal wound complications: a retrospective study in OPCAB patients.

BACKGROUND: Sternal wound complications (SWC) are a rare but potentially life-threatening complication after coronary artery bypass grafting (CABG) surgery. Especially the use of bilateral IMA (BIMA) grafts as opposed to single IMA (SIMA) grafts is associated with an increased risk of SWC. Skeletonised harvesting has been proposed to reduce this risk. The purpose of this study was to retrospectively investigate the effect of skeletonisation on SWC after off-pump coronary artery bypass grafting (OPCAB) in a centre with a high volume of off-pump procedures and high frequencies of BIMA. METHODS: From January 2010 to November 2016, 1900 consecutive patients underwent OPCAB surgery at the University Hospitals of Leuven. The first group (n = 1487) received non-skeletonised IMA grafts, whereas the second group (n = 413) received skeletonised grafts. Optimal wound management was pursued in all patients. A new four-grade classification for SWC was developed. Incidence and grade of SWC as well as overall survival were assessed. RESULTS: Analysis of diabetic patients showed a lower incidence of SWC in the skeletonised (12/141, 8.5%) compared to the non-skeletonised group (82/414, 19.8%) [odds ratio 0.46, 95% confidence interval (0.23;0.88), p = 0.019] as well as a lower grade [0.45 (0.24;0.871), p = 0.018]. There was no significant effect on overall survival [0.67 (0.19;2.32), p = 0.529]. Subanalysis of this population revealed that the observed effects were most prominent in patients receiving BIMA grafts, with 6/56 (10.7%) SWC in the skeletonised and 62/252 (24.6%) in the non-skeletonised group [0.37 (0.15;0.90), p = 0.028 for incidence], as well as a lower grade [0.36 (0.15;0.88), p = 0.025]. These advantages were not significant in diabetic patients receiving SIMA grafts nor in the full study population. CONCLUSIONS: This study, using a more sensitive classification of SWC, shows in a large group of patients that, in combination with optimized wound management, the skeletonisation technique is associated with a clear reduction in the incidence and grade of SWC in diabetic patients receiving BIMA grafts. This encourages the extension of BIMA use in OPCAB to this risk population.

Skeleton Graph Matching vs. Maximum Weight Cliques aorta registration techniques.

Vascular diseases are one of the most challenging health problems in developed countries. Past as well as ongoing research activities often focus on efficient, robust and fast aorta segmentation, and registration techniques. According to this needs our study targets an abdominal aorta registration method. The investigated algorithms make it possible to efficiently segment and register abdominal aorta in pre- and post-operative Computed Tomography (CT) data. In more detail, a registration technique using the Path Similarity Skeleton Graph Matching (PSSGM), as well as Maximum Weight Cliques (MWCs) are employed to realise the matching based on Computed Tomography data. The presented approaches make it possible to match characteristic voxels belonging to the aorta from different Computed Tomography (CT) series. It is particularly useful in the assessment of the abdominal aortic aneurysm treatment by visualising the correspondence between the pre- and post-operative CT data. The registration results have been tested on the database of 18 contrast-enhanced CT series, where the cross-registration analysis has been performed producing 153 matching examples. All the registration results achieved with our system have been verified by an expert. The carried out analysis has highlighted the advantage of the MWCs technique over the PSSGM method. The verification phase proves the efficiency of the MWCs approach and encourages to further develop this methods.

Bilateral internal mammary artery grafting in diabetics: outcomes, concerns and controversies.

Coronary artery disease (CAD) is a leading cause of mortality and morbidity in diabetics. Diabetics make up to 20%-35% of all patients undergoing coronary revascularization. Patients with diabetes represent a particularly difficult subset for revascularization due to increased short- and long-term mortality as well as a higher risk of repeat revascularization procedures. Potential factors contributing to the increased risk include co-morbid illnesses, small, diffusely diseased target vessels, progression of native CAD, hyperglycaemic endothelial dysfunction, and systemic inflammation. For diabetic patients with multi-vessel disease, revascularization by coronary artery bypass grafting (CABG) is regarded as the preferred option. There is increasing recognition that the use of arterial conduits for CABG is associated with improved outcomes compared to use of venous conduits. Amongst arterial conduits bilateral internal mammary arteries (BIMA) have emerged as the superior conduits due to better cardiac event-free survival. Consistent with its benefits in non-diabetic patients, BIMA grafting is presumed to offer similar benefits in diabetic patients. However, BIMA grafting remains underutilised in diabetics due to perceived increased risk of sternal wound infection. This review article provides an overview of BIMA grafting in diabetic patients focussing on outcomes, concerns, and controversies associated with BIMA usage in this high-risk group of patients.