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BACKGROUND: Thyroid cancer is a common thyroid malignancy. The majority of thyroid lesion needs intraoperative frozen pathology diagnosis, which provides important information for precision operation. As digital whole slide images (WSIs) develop, deep learning methods for histopathological classification of the thyroid gland (paraffin sections) have achieved outstanding results. Our current study is to clarify whether deep learning assists pathology diagnosis for intraoperative frozen thyroid lesions or not.
METHODS: We propose an artificial intelligence-assisted diagnostic system for frozen thyroid lesions that applies prior knowledge in tandem with a dichotomous judgment of whether the lesion is cancerous or not and a quadratic judgment of the type of cancerous lesion to categorize the frozen thyroid lesions into five categories: papillary thyroid carcinoma, medullary thyroid carcinoma, anaplastic thyroid carcinoma, follicular thyroid tumor, and non-cancerous lesion. We obtained 4409 frozen digital pathology sections (WSI) of thyroid from the First Affiliated Hospital of Sun Yat-sen University (SYSUFH) to train and test the model, and the performance was validated by a six-fold cross validation, 101 papillary microcarcinoma sections of thyroid were used to validate the system\'s sensitivity, and 1388 WSIs of thyroid were used for the evaluation of the external dataset. The deep learning models were compared in terms of several metrics such as accuracy, F1 score, recall, precision and AUC (Area Under Curve).
RESULTS: We developed the first deep learning-based frozen thyroid diagnostic classifier for histopathological WSI classification of papillary carcinoma, medullary carcinoma, follicular tumor, anaplastic carcinoma, and non-carcinoma lesion. On test slides, the system had an accuracy of 0.9459, a precision of 0.9475, and an AUC of 0.9955. In the papillary carcinoma test slides, the system was able to accurately predict even lesions as small as 2 mm in diameter. Tested with the acceleration component, the cut processing can be performed in 346.12 s and the visual inference prediction results can be obtained in 98.61 s, thus meeting the time requirements for intraoperative diagnosis. Our study employs a deep learning approach for high-precision classification of intraoperative frozen thyroid lesion distribution in the clinical setting, which has potential clinical implications for assisting pathologists and precision surgery of thyroid lesions.

Intraoperative ultrasound is described widely in multiple pathological scenarios in adult practice and in image-guided interventions in children. We aim to describe the technique and range of potential uses of intraoperative ultrasound in paediatric urological surgery, from outlining the process of case selection, preparation, and logistics to demonstrating the ranging benefits of real-time, high spatial resolution ultrasound during resection. At our centre, we use intraoperative ultrasound to assist in a variety of operations. These include guiding excision margins in nephron-sparing surgery, assessing for vascular infiltration in renal tumours, and identifying salvageable testicular tissue in orchidectomy. By exhibiting these scenarios, we hope to display the unique value that intraoperative ultrasound can have to the paediatric surgeon and inspire additional uses further afield.

UNASSIGNED: A 58-year-old man with dysphagia and trismus symptoms presented a lobulated tumor in the right tonsil and ipsilateral laterocervical stony adenopathies in the physical examination. He had prostate carcinoma as clinical precedent. The tonsilar lesion showed focal FDG uptake (SUV max , 10.89) on PET/CT and increased glycemic metabolism in the left sacral wing (SUV max , 10.90) without clear morphological lesion in CT. There was also uptake of the tracer in sacrum in the bone scan. Metastatic involvement was suspected, requiring radioguided biopsy to determine the etiology. Due to radioguided biopsy, histological analysis of the metastasis was performed, with epidermoid carcinoma metastasis diagnosis.

Robot-assisted surgery (RAS) differs from traditional OR set-ups in several ways such as operation of technology and obstructed team communication that potentially affect surgical staff\'s stress experiences. The current study investigates the effects of key intraoperative job demands and resources on mental workload and perceived stress in RAS. We focused on the role of intraoperative teamwork as a resource that potentially reduces occupational stress. Combining standardized expert observations in the OR with healthcare providers\' self-reports, the study involved two types of robot-assisted, urological interventions. The sample consisted of 73 observed surgeries and included 242 post-operative surveys on perceived stress and mental workload from surgeons and surgical nurses. Multilevel regression analyses reveal differential effects for stress and workload. Importantly, whereas better surgical teamwork was associated with lower stress, it was unrelated to workload. Our findings provide a nuanced picture of occupational stress in RAS, particularly regarding the role of intraoperative teamwork.

OBJECTIVE: This study aimed to analyze variations in intraoperative corneal thickness during corneal cross-linking in patients with keratoconus and to investigate its possible correlation with presurgical maximal keratometry (Kmax) and pachymetry.
METHODS: This was a prospective case series. We used a method similar to the Dresden protocol, with the application of hydroxypropyl methylcellulose 0.1% hypo-osmolar riboflavin in corneas between 330 and 400 µm after epithelium removal. Corneal thickness was measured using portable calipers before and immediately after epithelium removal, and 30 and 60 min after the procedure.
RESULTS: The 30 patients in this study were followed up for one year. A statistically significant difference was observed in pachymetry values during the intraoperative period (p<0.0001) and an increase of 3.05 µm (95%C1: 0.56-5.54) for each diopter was seen after epithelium removal (p0.019). We found an average Kmax difference of -2.12 D between men and women (p0.013). One year after treatment, there was a statistically significant reduction in pachymetry (p<0.0001) and Kmax (p0.0170) values.
CONCLUSIONS: A significant increase in pachymetry measurements was seen during the procedure, and most patients showed a regression in Kmax and pachymetry values one year after surgery.

With the development of chest CT screening, surgically resected lung tumors have shifted from predominantly large masses to predominantly small nodules. The intraoperative frozen diagnosis of pulmonary small nodules faces many challenges, such as the accurate understanding about the concepts of adenocarcinoma in situ, minimally invasive adenocarcinoma and lepidic adenocarcinoma, as well as their differential diagnosis with small size invasive adenocarcinoma, benign tumors (such as bronchiolar adenoma, sclerosing pneumocytoma, etc.), metastatic tumors and so on. This study summarizes some common problems encountered in the intraoperative frozen diagnosis of small pulmonary nodules in daily practice, focusing on the diagnosis and differential diagnosis of adenocarcinoma, in order to make the accurate intraoperative frozen diagnosis of small pulmonary nodules and diminish misdiagnosis.
随着胸部CT筛查的广泛开展，可手术的肺部肿瘤从以往的以大肿块为主转变为目前的以小结节为主。肺部小结节术中冷冻切片病理诊断面临诸多挑战，比如对原位腺癌、微浸润性腺癌、贴壁生长型腺癌等概念的准确掌握，以及它们与小的浸润性腺癌、良性肿瘤（如细支气管腺瘤、硬化性肺细胞瘤等）、转移性肿瘤的鉴别诊断等。本文对目前临床实践中肺部小结节的术中冷冻切片病理诊断遇到的一些常见问题加以总结，重点围绕腺癌的诊断和鉴别诊断，以更好地完成肺部小结节的术中冷冻切片病理诊断，减少误诊。.

OBJECTIVE: To evaluate the feasibility of intraoperative transurethral contrast-enhanced ultrasound for the assessment of male urethral fistulas.
METHODS: Patients in a prospective database who underwent intraoperative two-dimensional ultrasound, transurethral saline-enhanced ultrasound, and contrast-enhanced ultrasound between January 2017 and July 2022 were included. All patients were clinically diagnosed with urethral fistulae (UF) in the outpatient setting based on clinical presentations, traditional two-dimensional ultrasound, and/or other imaging modalities and confirmed during surgical repair. Dynamic videos of the scans were independently analyzed by two experienced ultrasonologists.
RESULTS: Thirty-nine patients with an average age of 51 years were included. The UF were located in the anterior urethra in 22 (56.4%) patients and in the bulbar urethra in 14 (63.6%) patients. UF were located in the posterior urethra in 17 (436%) patients and in the prostatic urethra in 13 (76.5%) patients. Contrast-enhanced ultrasonography revealed UF in all patients. In patients with anterior UF, saline-enhanced ultrasound images did not show a UF in 15 (68.2%, 15/22) patients, 13 (86.7%, 13/15) of whom had fistulae with diameters <3 mm. Saline-enhanced ultrasound images did not reveal posterior UF in 13 (76.5%, 13/17) patients. The fistula diameters in eight (61.5%, 8/13) patients were <3 mm. The duration for contrast-enhanced ultrasonography was approximately 3 minutes. The duration for surgical repair was approximately 2 hours.
CONCLUSIONS: Transurethral contrast-enhanced ultrasound is a real-time, noninvasive, and radiation-free method that allows intraoperative imaging and accurate assessment of male UF. Its sensitivity is higher than that of both two-dimensional ultrasound and transurethral saline-enhanced ultrasound. The location, size, and course of the fistulae can be clearly seen due to greater contrast during contrast-enhanced ultrasound.

In the present study, we aimed to systematically evaluate the current evidence regarding the intraoperative workload of surgeons performing robot-assisted radical prostatectomy (RARP) for prostate cancer. A systematic search was carried out in the PubMed-MEDLINE and Web of Science databases through April 2024 using the following search terms: \"workload AND robot assisted radical prostatectomy\", \"workload AND robotic radical prostatectomy\", \"task load AND robotic radical prostatectomy\", \"task load AND robot assisted radical prostatectomy\" and \"NASA-TLX AND robot assisted radical prostatectomy\" by combining population, intervention, comparison, and outcome (PICO) terms, following preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines. We therefore selected studies that included patients with prostate cancer (P) who underwent robotic radical prostatectomy (I) and reported a workload/task load questionnaire (C) to assess the intraoperative workload/task load of the surgeon performing robot-assisted radical prostatectomy (O). A total of 11 studies were identified. The surgeon\'s workload during RARP was assessed using the National Aeronautics and Space Administration task load index (NASA-TLX) and/or the surgery task load index (SURG-TLX) in the studies. Total NASA-TLX scores of the studies ranged from 22.7 ± 3.2 to 62.0 ± 6.4. Mental and physical demands, flow interruptions, surgeon experience, the use of single or multiple ports, and the relationship between the surgeon and other staff in the operating theater may play a role in the intraoperative workload of the console surgeon. The studies we reviewed suggest that RARP offers an acceptable workload for the console surgeon despite its mental demands.

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