Infrared thermal imaging for automated detection of diabetic foot complications

Background Although thermal imaging can be a valuable technology in the prevention and management of diabetic foot disease, it is not yet widely used in clinical practice. Technological advancement in infrared imaging increases its application range. The aim was to explore the first steps in the applicability of high-resolution infrared thermal imaging for noninvasive automated detection of signs of diabetic foot disease. Methods The plantar foot surfaces of 15 diabetes patients were imaged with an infrared camera (resolution, 1.2 mm/pixel): 5 patients had no visible signs of foot complications, 5 patients had local complications (e.g., abundant callus or neuropathic ulcer), and 5 patients had difuse complications (e.g., Charcot foot, infected ulcer, or critical ischemia). Foot temperature was calculated as mean temperature across pixels for the whole foot and for specified regions of interest (ROIs). Results No diferences in mean temperature >1.5 °C between the ipsilateral and the contralateral foot were found in patients without complications. In patients with local complications, mean temperatures of the ipsilateral and the contralateral foot were similar, but temperature at the ROI was >2 °C higher compared with the corresponding region in the contralateral foot and to the mean of the whole ipsilateral foot. In patients with difuse complications, mean temperature diferences of >3 °C between ipsilateral and contralateral foot were found. Conclusions With an algorithm based on parameters that can be captured and analyzed with a high-resolution infrared camera and a computer, it is possible to detect signs of diabetic foot disease and to discriminate between no, local, or difuse diabetic foot complications. As such, an intelligent telemedicine monitoring system for noninvasive automated detection of signs of diabetic foot disease is one step closer. Future studies are essential to confirm and extend these promising early findings.

Diagnostic values for skin temperature assessment to detect diabetes-related foot complications

Background Skin temperature assessment is a promising modality for early detection of diabetic foot problems, but its diagnostic value has not been studied. Our aims were to investigate the diagnostic value of different cutoff skin temperature values for detecting diabetes-related foot complications such as ulceration, infection, and Charcot foot and to determine urgency of treatment in case of diagnosed infection or a red-hot swollen foot. Materials and Methods The plantar foot surfaces of 54 patients with diabetes visiting the outpatient foot clinic were imaged with an infrared camera. Nine patients had complications requiring immediate treatment, 25 patients had complications requiring non-immediate treatment, and 20 patients had no complications requiring treatment. Average pixel temperature was calculated for six predefined spots and for the whole foot. We calculated the area under the receiver operating characteristic curve for different cutoff skin temperature values using clinical assessment as reference and defined the sensitivity and specificity for the most optimal cutoff temperature value. Mean temperature difference between feet was analyzed using the Kruskal–Wallis tests. Results The most optimal cutoff skin temperature value for detection of diabetes-related foot complications was a 2.2°C difference between contralateral spots (sensitivity, 76%; specificity, 40%). The most optimal cutoff skin temperature value for determining urgency of treatment was a 1.35°C difference between the mean temperature of the left and right foot (sensitivity, 89%; specificity, 78%). Conclusions Detection of diabetes-related foot complications based on local skin temperature assessment is hindered by low diagnostic values. Mean temperature difference between two feet may be an adequate marker for determining urgency of treatment.

Automatic detection of diabetic foot complications with infrared thermography by asymmetric analysis

Early identification of diabetic foot complications and their precursors is essential in preventing their devastating consequences, such as foot infection and amputation. Frequent, automatic risk assessment by an intelligent telemedicine system might be feasible and cost effective. Infrared thermography is a promising modality for such a system. The temperature differences between corresponding areas on contralateral feet are the clinically significant parameters. This asymmetric analysis is hindered by (1) foot segmentation errors, especially when the foot temperature and the ambient temperature are comparable, and by (2) different shapes and sizes between contralateral feet due to deformities or minor amputations. To circumvent the first problem, we used a color image and a thermal image acquired synchronously. Foot regions, detected in the color image, were rigidly registered to the thermal image. This resulted in 97.8% ± 1.1% sensitivity and 98.4% ± 0.5% specificity over 76 high-risk diabetic patients with manual annotation as a reference. Nonrigid landmark-based registration with Bsplines solved the second problem. Corresponding points in the two feet could be found regardless of the shapes and sizes of the feet. With that, the temperature difference of the left and right feet could be obtained.

Feature extraction for fingerprint classification

This paper presents two algorithms for smoothing and feature extraction for fingerprint classification. Deutsch's(2) Thinning algorithm (rectangular array) is used for thinning the digitized fingerprint (binary version). A simple algorithm is also suggested for classifying the fingerprints. Experimental results obtained using such algorithms are presented.

Optimisation of in-cell accelerated solvent extraction technique for the determination of organochlorine pesticides in river sediments

Organochlorine pesticides (OCPs) are ubiquitous environmental contaminants with adverse impacts on aquatic biota, wildlife and human health even at low concentrations. However, conventional methods for their determination in river sediments are resource intensive. This paper presents an approach that is rapid and also reliable for the detection of OCPs. Accelerated Solvent Extraction (ASE) with in-cell silica gel clean-up followed by Triple Quadrupole Gas Chromatograph Mass Spectrometry (GCMS/MS) was used to recover OCPs from sediment samples. Variables such as temperature, solvent ratio, adsorbent mass and extraction cycle were evaluated and optimised for the extraction. With the exception of Aldrin, which was unaffected by any of the variables evaluated, the recovery of OCPs from sediment samples was largely influenced by solvent ratio and adsorbent mass and, to some extent, the number of cycles and temperature. The optimised conditions for OCPs extraction in sediment with good recoveries were determined to be 4 cycles, 4.5 g of silica gel, 105 ᴼC, and 4:3 v/v DCM: hexane mixture. With the exception of two compounds (α-BHC and Aldrin) whose recoveries were low (59.73 and 47.66 % respectively), the recovery of the other pesticides were in the range 85.35 – 117.97% with precision < 10 % RSD. The method developed significantly reduces sample preparation time, the amount of solvent used, matrix interference, and is highly sensitive and selective.

vSpeak: Edge detection based feature extraction for sign to text conversion

This paper presents 'vSpeak', the first initiative taken in Pakistan for ICT enabled conversion of dynamic Sign Urdu gestures into natural language sentences. To realize this, vSpeak has adopted a novel approach for feature extraction using edge detection and image compression which gives input to the Artificial Neural Network that recognizes the gesture. This technique caters for the blurred images as well. The training and testing is currently being performed on a dataset of 200 patterns of 20 words from Sign Urdu with target accuracy of 90% and above.

Fine-tuning of the signalling network controlling morphogenesis and stem cell development in teeth

Tooth development is regulated by sequential and reciprocal interactions between epithelium and mesenchyme. The molecular mechanisms underlying this regulation are conserved and most of the participating molecules belong to several signalling families. Research focusing on mouse teeth has uncovered many aspects of tooth development, including molecular and evolutionary specifi cs, and in addition offered a valuable system to analyse the regulation of epithelial stem cells. In mice the spatial and temporal regulation of cell differentiation and the mechanisms of patterning during development can be analysed both in vivo and in vitro. Follistatin (Fst), a negative regulator of TGFβ superfamily signalling, is an important inhibitor during embryonic development. We showed the necessity of modulation of TGFβ signalling by Fst in three different regulatory steps during tooth development. First we showed that tinkering with the level of TGFβ signalling by Fst may cause variation in the molar cusp patterning and crown morphogenesis. Second, our results indicated that in the continuously growing mouse incisors asymmetric expression of Fst is responsible for the labial-lingual patterning of ameloblast differentiation and enamel formation. Two TGFβ superfamily signals, BMP and Activin, are required for proper ameloblast differentiation and Fst modulates their effects. Third, we identifi ed a complex signalling network regulating the maintenance and proliferation of epithelial stem cells in the incisor, and showed that Fst is an essential modulator of this regulation. FGF3 in cooperation with FGF10 stimulates proliferation of epithelial stem cells and transit amplifying cells in the labial cervical loop. BMP4 represses Fgf3 expression whereas Activin inhibits the repressive effect of BMP4 on the labial side. Thus, Fst inhibits Activin rather than BMP4 in the cervical loop area and limits the proliferation of lingual epithelium, thereby causing the asymmetric maintenance and proliferation of epithelial stem cells. In addition, we detected Lgr5, a Wnt target gene and an epithelial stem cell marker in the intestine, in the putative epithelial stem cells of the incisor, suggesting that Lgr5 is a marker of incisor stem cells but is not regulated by Wnt/β-catenin signalling in the incisor. Thus the epithelial stem cells in the incisor may not be directly regulated by Wnt/β-catenin signalling. In conclusion, we showed in the mouse incisors that modulating the balance between inductive and inhibitory signals constitutes a key mechanism regulating the epithelial stem cells and ameloblast differentiation. Furthermore, we found additional support for the location of the putative epithelial stem cells and for the stemness of these cells. In the mouse molar we showed the necessity of fi ne-tuning the signalling in the regulation of the crown morphogenesis, and that altering the levels of an inhibitor can cause variation in the crown patterning.

Mathematical model and rule extraction for tool wear monitoring problem using nature inspired techniques

In this paper, pattern classification problem in tool wear monitoring is solved using nature inspired techniques such as Genetic Programming(GP) and Ant-Miner (AM). The main advantage of GP and AM is their ability to learn the underlying data relationships and express them in the form of mathematical equation or simple rules. The extraction of knowledge from the training data set using GP and AM are in the form of Genetic Programming Classifier Expression (GPCE) and rules respectively. The GPCE and AM extracted rules are then applied to set of data in the testing/validation set to obtain the classification accuracy. A major attraction in GP evolved GPCE and AM based classification is the possibility of obtaining an expert system like rules that can be directly applied subsequently by the user in his/her application. The performance of the data classification using GP and AM is as good as the classification accuracy obtained in the earlier study.

Partial foot amputations may not always be worth the risk of complications

To the Editor: Dillon and colleagues present a challenging perspective on the evidence comparing partial foot amputation (PFA) and below-knee amputation (BKA) outcomes.1,2 Australia's diabetes-related major amputation rates have only recently reduced to international levels3 and we fear that any oversimplistic perspectives may be detrimental to these improved rates and, importantly, to our patients. Thus, we believe these articles1,2 should be read cognisant of some important points...

How many inpatients in our hospitals have foot complications? The foot disease in inpatients study

Background Foot complications have been found to affect large proportions of hospital in patients with diabetes. However, no studies have investigated the proportion of foot complications affecting all people in general inpatient populations. The aims of this cross-sectional study were to investigate the point-prevalence of different foot complications in general inpatient populations, analyse differences in diabetes and non-diabetes sub-groups, and examine characteristics of people primarily admitted for a foot complication. Methods Eligible participants were all adults admitted overnight, for any reason, into five diverse hospitals on one day; excluding maternity, mental health and cognitively impaired patients. All participants underwent a physical foot examination, by trained podiatrists using validated measures, to clinically diagnose different foot complications; including foot wounds, infections, deformity, peripheral arterial disease (PAD) and peripheral neuropathy (PN). Data were also collected on participants' primary reason for admission and a range of demographic, social determinant, medical history, foot complication history, self-care and footwear risk factors. Results Overall, 733 participants consented (83% of eligible participants); mean(±SD) age 62(±19) years, 480 (55.8%) male and 172 (23.5%) had diabetes. Foot complication prevalence included: wounds 9.0% (95% CI) (5.1-8.7), infections 3.3% (2.2-4.9), deformity 22.4% (19.5-26.7), PAD 21.0% (18.2-24.1) and PN 22.0% (19.1-25.1). Diabetes populations had significantly more foot complications than non-diabetes (p < 0.01); wounds (15.7% vs 7.0%), infections (7.1% vs 2.2%), deformity (30.5% vs 19.9%), PAD (35.1% vs 16.7%) and PN (43.3% vs 15.4%). Foot complications were the primary reason for admission in 7.4% (95% CI) (5.7-9.5) of all participants. In a backwards stepwise multivariate analysis having a foot complication as the primary reason for admission was independently associated (OR (95% CI) with foot wounds (18.9 (7.3-48.7)), foot infections (6.0 (1.6-22.4)), history of amputation (4.7 (1.3-17.0) and PAD (2.9 (1.3-6.6)). Conclusions Findings of this study indicate one in every ten hospital inpatients had an active foot wound or infection. In patients with diabetes had significantly higher proportions of foot complications than non-diabetes inpatients. Remarkably one in every thirteen inpatients in this study were primarily hospitalised for a foot complication. Further research and policy is required to tackle this seemingly large inpatient foot complication burden.

Venous thromboembolism during pregnancy and the impact of thrombophilia in pregnancy complications

Venous thromboembolism (VTE) is the greatest single cause of maternal mortality in pregnant women in developed countries. Pregnancy is a hypercoagulable state and brings about an enhanced risk of deep venous thrombosis (DVT) in otherwise healthy women. Traditionally, unfractionated heparin (UFH) has been used for treatment of DVT during pregnancy. We showed in our observational study that low molecular weight heparin (LMWH) is as effective and safe as UFH in the treatment of DVT during pregnancy. Although DVT during pregnancy is often massive, increasing the risk of developing long-term consequences, namely post-thrombotic syndrome (PTS), only 11% of all patients had confirmed PTS 3 4 years after DVT. In our studies the prevalence of PTS was not dependent on treatment (UFH vs LMWH). Low molecular weight heparin is more easily administered, few laboratory controls are required and the hospital stay is shorter, factors that lower the costs of treatment. Cervical insufficiency is defined as repeated very preterm delivery during the second or early third trimester. Infection is a well-known risk factor of preterm delivery. We found overpresentation of thrombophilic mutations (FV Leiden, prothrombin G20210A)among 42 patients with cervical insufficiency compared with controls (OR 6.7, CI 2.7 18.4). Thus, thrombophilia might be a risk factor of cervical insufficiency possibly explained by interaction of coagulation and inflammation processes. The presence of antiphospholipid (aPL) antibodies increases the risk for recurrent miscarriage (RM). Annexins are proteins which all bind to anionic phospholipids (PLs) preventing clotting on vascular phospholipid surfaces. Plasma concentrations of circulating annexin IV and V were investigated in 77 pregnancies at the beginning of pregnancy among women with a history of RM, and in connection to their aPL antibody status. Control group consisted unselected pregnant patients (n=25) without history of adverse pregnancy outcome. Plasma levels of annexin V were significantly higher at the beginning (≤5th week) of pregnancy in women with aPL antibodies compared with those without aPL antibodies (P=0.03). Levels of circulating annexin V were also higher at the 6th (P= 0.01) and 8th week of pregnancy in subjects with aPL antibodies (P=0.01). Results support the hypothesis that aPL could displace annexin from anionic phospholipid surfaces of syncytiotrophoblasts (STBs) and may exert procoagulant activities on the surfaces of STBs Recurrent miscarriage (RM) has been suggested to be caused by mutations in genes coding for various coagulation factors resulting in thrombophilia. In the last study of my thesis were investigated the prevalence of thrombomodulin (TM) and endothelial protein C receptor polymorphism EPCR among 40 couples and six women suffering RM. This study showed that mutations in the TM or EPCR genes are not a major cause of RM in Finnish patients.

Gastrointestinal complications after kidney transplantation

The aim of the study was to evaluate gastrointestinal (GI) complications after kidney transplantation in the Finnish population. The adult patients included underwent kidney transplantation at Helsinki University Central Hospital in 1990-2000. Data on GI complications were collected from the Finnish Kidney Transplantation Registry, patient records and from questionnaires sent to patients. Helicobacter pylori IgG and IgA antibodies were measured from 500 patients before kidney transplantation and after a median 6.8-year follow up. Oesophagogastroduodenoscopy with biopsies was performed on 46 kidney transplantation patients suffering from gastroduodenal symptoms and 43 dyspeptic controls for studies of gastroduodenal cytomegalovirus (CMV) infection. Gallbladder ultrasound was performed on 304 patients after a median of 7.4 years post transplantation. Data from these 304 patients were also collected on serum lipids, body mass index and the use of statin medication. Severe GI complications occurred in 147 (10%) of 1515 kidney transplantations, 6% of them fatal after a median of 0.93 years. 51% of the complications occurred during the first post transplantation year, with highest incidence in gastroduodenal ulcers and complications of the colon. Patients with GI complications were older and had more delayed graft function and patients with polycystic kidney disease had more GI complications than the other patients. H.pylori seropositivity rate was 31% and this had no influence on graft or patient survival. 29% of the H.pylori seropositive patients seroreverted without eradication therapy. 74% of kidney transplantation patients had CMV specific matrix protein pp65 or delayed early protein p52 positive findings in the gastroduodenal mucosa, and 53% of the pp65 or p52 positive patients had gastroduodenal erosions without H.pylori findings. After the transplantation 165 (11%) patients developed gallstones. A biliary complication including 1 fatal cholecystitis developed in 15% of the patients with gallstones. 13 (0.9%) patients had pancreatitis. Colon perforations, 31% of them fatal, occurred in 16 (1%) patients. 13 (0.9%) developed a GI malignancy during the follow up. 2 H.pylori seropositive patients developed gastroduodenal malignancies during the follow up. In conclusion, severe GI complications usually occur early after kidney transplantation. Colon perforations are especially serious in kidney transplantation patients and colon diverticulosis and gallstones should be screened and treated before transplantation. When found, H.pylori infection should also be treated in these patients.