The aim of this study was to evaluate osteoarthritis (OA) patients with infrared thermography to investigate imaging patterns as well as demographic and clinical characteristics that influence knee inflammation. Forty patients with one-sided symptomatic knee OA were included and evaluated through knee-specific PROMs and the PainDETECT Questionnaire for neuropathic pain evaluation. Thermograms were captured using a thermographic camera FLIR-T1020 and temperatures were extracted using the software ResearchIR for the overall knee and the five ROIs: medial, lateral, medial patella, lateral patella, and suprapatellar. The mean temperature of the total knee was 31.9 ± 1.6 °C. It negatively correlated with age (rho = −0.380, p = 0.016) and positively correlated with BMI (rho = 0.421, p = 0.007) and the IKDC objective score (tau = 0.294, p = 0.016). Men had higher temperatures in the knee medial, lateral, and suprapatellar areas (p = 0.017, p = 0.019, p = 0.025, respectively). Patients with neuropathic pain had a lower temperature of the medial knee area (31.5 ± 1.0 vs. 32.3 ± 1.1, p = 0.042), with the total knee negatively correlating with PainDETECT (p = 0.045). This study demonstrated that the skin temperature of OA symptomatic knees is influenced by demographic and clinical characteristics of patients, with higher joint temperatures in younger male patients with higher BMI and worst objective knee scores and lower temperatures in patients affected by neuropathic pain.

Infrared thermography can be used to evaluate the inflammation characterizing the joint environment of OA knees, but there is limited evidence on the response to physical exercise. Identifying the response to exercise of OA knees and the influencing variables could provide important information to better profile patients with different knee OA patterns. Sixty consecutive patients (38 men/22 women, 61.4 ± 9.2 years) with symptomatic knee OA were enrolled. Patients were evaluated with a standardized protocol using a thermographic camera (FLIR-T1020) positioned at 1 m with image acquisition of an anterior view at baseline, immediately after, and at 5 min after a 2-min knee flexion–extension exercise with a 2 kg anklet. Patients’ demographic and clinical characteristics were documented and correlated with the thermographic changes. This study demonstrated that the temperature response to exercise in symptomatic knee OA was affected by some demographic and clinical characteristics of the assessed patients. Patients with a poor clinical knee status presented with a lower response to exercise, and women showed a greater temperature decrease than men. Not all evaluated ROIs showed the same trend, which underlines the need to specifically study the different joint subareas to identify the inflammatory component and joint response while investigating knee OA patterns.

Introduction Not all hospitals have a MIS training facility because often training is not a main corporate objective and could require lots of money. We tried to build a laparoscopic simulator that was effective and that would allow to carry out an adequate laparoscopic training similar to that obtained with the models normally used in MIS training programs. To construct a box trainer that would achieve the equivalent results than those usually used. A validation study was carried out by evaluating the content validity and construct validity of our simulator in addition a comparison study of our homemade trainer vs Karl Storz box trainer was performed. Material and methodsThe HM laparoscopic trainer was assembled using a wood frame. Two LED lights were positioned on the inside roof of the trainer and a webcam was positioned through a special support as operative optic. The webcam was then connected to a PC and the latter was used as a monitor for the operator. Participants were 20 students and a group of 6 surgeons. Students were prospectively randomized to perform 4 of the 5 tasks of the fundamental laparoscopic surgery (FLS) program on both the HM trainer and the KS trainer (pegboard transfer, pattern cut, placement of ligating loop and intracorporeal knot suture). Simple paired t test was performed to compare times between the trainers. Then students performed two more sets of exercises on the HM. The group of surgeons performed three sets of the same exercises performed by the students on the HM. The time taken by surgeons and students to complete the exercises was compared using t test. At the end, all the participants carried out a questionnaire to evaluate their experience with the HM box trainer. For the questionnaire it was chosen to use a Linkert 1-5 scale (1 = strongly disagree; 2 = disagree; 3 = undecided; 4 = agree; 5 = strongly agree). Results HM vs KS BT: Comparing time to complete the 4 tasks performed by students on both the BT, for the first task the p value was 0.30, for the second task 0.48, for the third task 0.80, for the fourth task 0.93, and for the total time 0.86. The comparison between the mean time of the first set of tasks of the participants who started with the HM BT and one of the participants who started on the KS p value was 1 p = 0.09; task 2 p = 0.32; task 3 p = 0.62; task 4 p = 0.32; total time p = 0.81. The comparison between the meantime of the second set of tasks of the participants who switched to the HM BT with the one of those who switched to the KS BT showed a p value of: p = 0.20 tasks 1 p = 0.53 task 2; p = 0.39 task 3; p = 0.30 task 4; p = 0.56 total time. Construct validity: The mean experts and students time of every single task and the total one showed a p value of: p < 0.01 for task 1; p < 0.01 task 2; p < 0.01 task 3; p < 0.01 task 4; p < 0.01 total time. Content validity: Both experts and students indicated the HM BT as a useful training tool and appreciated its easy use. Both groups would use it at home if it were available. Conclusion Valid MIS trainer can be...