OBJECTIVE

The aim of this study was to determine the different attitudes and perception of obstetrics and gynecology residents on laparoscopic skills training.

A cross-sectional research was conducted in a tertiary hospital’s Department of Obstetrics and Gynecology using a survey questionnaire. The respondents were resident physician trainees using population sampling. An approval to use the survey questionnaire from its developer was obtained. Descriptive statistics was used for analysis of the demographic profile. Pearson product moment correlation was used to determine correlation between expectancy-value constructs, simulation use and surgical experience.

The average hours the residents spent in simulation laparoscopic exercises was 11 h in the last 12 months and at least 1 h per week with supervision (76%). The reasons for using laparoscopic simulation include skill development (94%), proximity to the simulation lab (90%), free time (85%), recommendation of attending surgeon (84%), and requirement for rotation (84%). Among the expectant value constructs, only intrinsic interest utility value (r = −0.390) showed statistical correlation suggesting a weak negative correlation with simulation use. Hours of simulation use were significantly negatively correlated with self-efficacy for learning skills required to become proficient at minimally invasive surgery (MIS) (r = −0.390) and self-efficacy for learning sufficient MIS skills to perform procedures safely (r = −0.351).

The residents were motivated to do well and had greater self-belief and enjoyed performing and mastering the laparoscopic skills training. The residents’ perception revealed that there was an improvement in their MIS skills with the laparoscopic simulation exercises in the short time they spent in the simulation. Despite the residents’ positive attitude and perceptions, voluntary participation was limited. The most commonly cited barriers to the access of the surgical knowledge improvement laboratory and laparoscopy simulation unit were the lack of time due to the workload, conflicting schedules, and COVID-19 pandemic restrictions. Supervision of the residents is of great importance to provide guidance and motivation to the residents in improving their technical skills and performance in the operating room.

INTRODUCTION

Splenic Abscess is an ongoing infectious process with pus accumulation specifically at the spleen, this is associated with a high mortality rate with studies showing 16.6% among those diagnosed, with risk factors mainly present are among immunocompromised state. Among the immunocompetent population, an incidence of 0.14-0.70% were documented. 13 The etiology for this may include hematogenous or contiguous spread of infection as a pathophysiology, with bacterial seeding at the site. Detection of this is through ultrasound or CT scan, with a goal of identify a complex or a simple abscess. Therapeutics lie in choosing splenectomy, placing the patient in an immunocompromised state despite being at a young age against the conservative percutaneous drainage on top of the maximized antibiotic use. A recent meta-analysis showed a mortality rate of 12% among patients with splenectomy and a complication rate of 26%, however the percutaneous drainage had a mortality of 8% and a complication rate of 10% 14 This highlights the clinical awareness and decision among patients with splenic abscess.

Presenting a case of 37-year-old female who came in with left upper quadrant pain. This patient had undergone laparoscopic cholecystectomy 6 months prior to admission with an unremarkable outcome. An onset of left upper quadrant pain was noted 3 months prior to admission and was initially conservatively managed with unrecalled antibiotics. Persistence of this prompted further work up where ultrasound revealed an abscess in the spleen and was then admitted for broad spectrum antibiotics, namely piperacillin-tazobactam and further imaging. CT scan of whole abdomen with contrast was then done which revealed splenomegaly with rim enhancing near fluid attenuating lesions in the mid to inferior pole. The complexity of the abscess prompted the decision for splenectomy, the gold standard for treatment for splenic abscess. Patient had tested negative for HIV.

Splenic abscess is a rare condition, usually presenting with fever and left upper quadrant pain, the patient however did not present with fever despite a complex abscess. Splenic abscess is associated with a high mortality rate. A wide array of differentials is considered in patients with left upper quadrant pain and laboratories are directed into investigating the structural cause for left upper quadrant pain as the spleen has many adjacent organs which may present similarly. The decision to choose splenectomy and percutaneous abscess determines survivability of infection as splenectomy places patient in an immunocompromised state, thus early recognition of splenic abscess, and feasibility of percutaneous drainage is vital to the out-hospital outcome for the patient. Among immunocompetent individuals, given the lower mortality and lower complication rates, it may be ideal to combine both medical and minimally invasive procedures and a rise in complication may then warrant splenectomy.

Repair of complex aortic aneurysms such as those involving the thoracoabdominal and pararenal aorta presents a formidable challenge for surgeons with significant perioperative morbidity and mortality. A hybrid procedure combining renovisceral debranching with endovascular aneurysm exclusion has been developed as an alternative approach for high-risk patients. This paper reports our initial experience with hybrid repair for these complex aortic diseases in three high-risk patients.

Human:Endocrinology ; Gynecologic surgical procedures ; Education, medical

The clinical burden of colorectal cancer (CRC) is high. Population-based screening and early detection are essential to improve the long-term clinical outcome. Nonetheless, a significant proportion of patients still present at an advanced stage, including with acute large bowel obstruction. Image-enhanced endoscopy and artificial intelligence can improve the detection and diagnosis of colonic adenomas and early cancer. Endoscopic resection is regarded as the preferred curative treatment option for colonic adenoma and T0 and T1 CRC limited to the superficial submucosa. Emergency colonic stenting as bridge to interval curative surgery is increasingly accepted as a first-line option when technically feasible. Minimally invasive resection techniques such as laparoscopic colectomy and robot-assisted colorectal surgery have also come of age. These techniques reduce post-treatment morbidity, shorten the recovery process and can be cost-effective while maintaining long-term oncological cure. These outcome measures are relevant to our patients; therefore, minimally invasive approaches to curative resection should be embraced.
Humans ; Colorectal Neoplasms/surgery* ; Minimally Invasive Surgical Procedures/methods* ; Laparoscopy/methods* ; Colectomy/methods* ; Robotic Surgical Procedures/methods* ; Treatment Outcome ; Colonoscopy/methods*

Visual minimally invasive acupotomy is applicable for the diseases with the pathological characteristics of soft tissue injury, including disorders of spine, four limbs and joints, peripheral nerve compression and chronic soft tissues. The diseases with superior effect obtained are cervicogenic headache, lumbar disc herniation, carpal tunnel syndrome and flexor tendon stenosing tenosynovitis. Under the guidance with ultrasound, visual minimally invasive acupotomy is advantaged at preoperative diagnosis, intraoperative guidance and postoperative evaluation in clinical practice so that it is precise, safe and reliable in clinical treatment. Visual minimally invasive acupotomy is essentially a kind of "ultra-minimally invasive" technique in treatment, focusing on the self-rehabilitation of the body induced by external treatment measures. It is highly complementary to the repair and reconstruction of minimally invasive surgery of modern medicine in clinical application.
Humans ; Acupuncture Therapy/methods* ; Minimally Invasive Surgical Procedures

OBJECTIVE: To observe the clinical efficacy of acupuncture based on the "head qijie" theory combined with endovascular intervention in the treatment of ischemic stroke (IS). METHODS: Sixty-six IS patients were randomly divided into an experimental group (33 cases, 3 cases dropped out) and a control group (33 cases, 3 cases dropped out). The control group received endovascular intervention. On the basis of the treatment in the control group, the experimental group received acupuncture based on the "head qijie" theory starting from the second day after surgery, Baihui (GV20) and bilateral Fengchi (GB20), Tianzhu (BL10), etc. were selected, once a day, 6 times a week for 2 weeks. Before and after treatment, the scores of National Institutes of Health stroke scale (NIHSS), modified Barthel index (MBI) and modified Rankin scale (mRS) were observed in the two groups, the clinical efficacy and safety were evaluated. RESULTS: After treatment, the NIHSS and mRS scores were decreased compared with those before treatment in both groups (P<0.01), the NIHSS and mRS scores in the experimental group were lower than those in the control group (P<0.05). After treatment, the MBI scores were increased compared with those before treatment in both groups (P<0.01), the MBI score in the experimental group was higher than that in the control group (P<0.05). The total effective rate in the experimental group was 86.7% (26/30), which was higher than 66.7% (20/30) in the control group (P<0.05). The incidence of adverse events in the experimental group was 6.7% (2/30), which was lower than 13.3% (4/30) in the control group (P<0.05). CONCLUSION Acupuncture based on the "head qijie" theory combined with endovascular intervention in treating IS has good efficacy, improves neurological function, and enhances daily living ability.
Humans ; Male ; Female ; Acupuncture Therapy ; Middle Aged ; Aged ; Ischemic Stroke/therapy* ; Acupuncture Points ; Endovascular Procedures ; Treatment Outcome ; Adult ; Combined Modality Therapy

BACKGROUND: Telesurgery has the potential to overcome spatial limitations for surgeons, which depends on surgical robot and the quality of network communication. However, the influence of network latency and bandwidth on telesurgery is not well understood. METHODS: A telesurgery system capable of dynamically adjusting image compression ratios in response to bandwidth changes was established between Beijing and Sanya (Hainan province), covering a distance of 3000 km. In total, 108 animal operations, including 12 surgical procedures, were performed. Total latency ranging from 170 ms to 320 ms and bandwidth from 15-20 Mbps to less than 1 Mbps were explored using designed surgical tasks and hemostasis models for renal vein and internal iliac artery rupture bleeding. Network latency, jitter, frame loss, and bit rate code were systemically measured during these operations. National Aeronautics and Space Administration Task Load Index (NASA-TLX) and a self-designed scale measured the workload and subjective perception of surgeons. RESULTS: All 108 animal telesurgeries, conducted from January 2023 to June 2023, were performed effectively over a total duration of 3866 min. The operations were completed with latency up to 320 ms and bandwidths as low as 1-5 Mbps. Hemostasis for vein and artery rupture bleeding models was effectively achieved under these low bandwidth conditions. The NASA-TLX results indicated that latency significantly impacted surgical performance more than bandwidth and image clarity reductions. CONCLUSIONS This telesurgery system demonstrated safety and reliability. A total of 320 ms latency is acceptable for telesurgery operations. Reducing image clarity can effectively mitigate the potential latency increase caused by decreased bandwidth, offering a new method to reduce the impact of latency on telesurgery.
Animals ; Robotic Surgical Procedures/methods* ; Laparoscopy/methods*

BACKGROUND: Postoperative pulmonary complications (PPCs) are major adverse events in neurosurgical patients. This study aimed to develop and validate machine learning models predicting PPCs after neurosurgery. METHODS: PPCs were defined according to the European Perioperative Clinical Outcome standards as occurring within 7 postoperative days. Data of cases meeting inclusion/exclusion criteria were extracted from the anesthesia information management system to create three datasets: The development (data of Huashan Hospital, Fudan University from 2018 to 2020), temporal validation (data of Huashan Hospital, Fudan University in 2021) and external validation (data of other three hospitals in 2023) datasets. Machine learning models of six algorithms were trained using either 35 retrievable and plausible features or the 11 features selected by Lasso regression. Temporal validation was conducted for all models and the 11-feature models were also externally validated. Independent risk factors were identified and feature importance in top models was analyzed. RESULTS: PPCs occurred in 712 of 7533 (9.5%), 258 of 2824 (9.1%), and 207 of 2300 (9.0%) patients in the development, temporal validation and external validation datasets, respectively. During cross-validation training, all models except Bayes demonstrated good discrimination with an area under the receiver operating characteristic curve (AUC) of 0.840. In temporal validation of full-feature models, deep neural network (DNN) performed the best with an AUC of 0.835 (95% confidence interval [CI]: 0.805-0.858) and a Brier score of 0.069, followed by Logistic regression (LR), random forest and XGBoost. The 11-feature models performed comparable to full-feature models with very close but statistically significantly lower AUCs, with the top models of DNN and LR in temporal and external validations. An 11-feature nomogram was drawn based on the LR algorithm and it outperformed the minimally modified Assess respiratory RIsk in Surgical patients in CATalonia (ARISCAT) and Laparoscopic Surgery Video Educational Guidelines (LAS VEGAS) scores with a higher AUC (LR: 0.824, ARISCAT: 0.672, LAS: 0.663). Independent risk factors based on multivariate LR mostly overlapped with Lasso-selected features, but lacked consistency with the important features using the Shapley additive explanation (SHAP) method of the LR model. CONCLUSIONS: The developed models, especially the DNN model and the nomogram, had good discrimination and calibration, and could be used for predicting PPCs in neurosurgical patients. The establishment of machine learning models and the ascertainment of risk factors might assist clinical decision support for improving surgical outcomes. TRIAL REGISTRATION ChiCTR 2100047474; https://www.chictr.org.cn/showproj.html?proj=128279 .
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Algorithms ; Lung Diseases/etiology* ; Machine Learning ; Neurosurgical Procedures/adverse effects* ; Postoperative Complications/diagnosis* ; Risk Factors ; ROC Curve

Humans ; Laparoscopy/education* ; Female ; Gynecologic Surgical Procedures/education* ; Consensus ; Genital Diseases, Female/surgery* ; China ; Robotic Surgical Procedures/methods*