Neutrophil to Lymphocyte Ratio in Patients Who Received Neoadjuvant Treatment before Gastrectomy.

BACKGROUND: The neutrophil to lymphocyte ratio (NLR) has demonstrated prognostic value in various malignant conditions, including gastric adenocarcinoma. However, chemotherapy may affect NLR. OBJECTIVES: To evaluate the prognostic value of NLR as an accessory decision-making tool in terms of operating patients after neoadjuvant chemotherapy in patients with resectable gastric cancer. METHODS: We collected oncologic, perioperative, and survival data of patients with gastric adenocarcinoma who underwent curative intent gastrectomy and D2 lymphadenectomy between 2009 and 2016. The NLR was calculated from preoperative laboratory tests and classified as high (> 4) and low (≤ 4). The t-test, chi-square, Kaplan-Meier analysis, and Cox multivariate regression models were used to assess associations of clinical, histologic, and hematological variables with survival. RESULTS: For 124 patients the median follow-up was 23 months (range 1-88). High NLR was associated with greater rate of local complication (r=0.268, P < 0.01). The rate of major complications (Clavien-Dindo ≥ 3) was higher in the high NLR group (28% vs. 9%, P = 0.022). Among the 53 patients who received neoadjuvant chemotherapy, those with low NLR had significantly improved disease-free survival (DFS) (49.7 vs. 27.7 months, P = 0.025). Low NLR was not significantly associated with overall survival (mean survival, 51.2 vs. 42.3 months, P = 0.19). Multivariate regression identified NLR group (P = 0.013), male gender (P = 0.04), and body mass index (P = 0.026) as independently associated with DFS. CONCLUSIONS: Among gastric cancer patients planned for curative intent surgery who underwent neoadjuvant chemotherapy, NLR may have prognostic value, particularly regarding DFS and postoperative complications.

Artificial intelligence for identification of focal lesions in intraoperative liver ultrasonography.

PURPOSE: Intraoperative ultrasonography (IOUS) of the liver is a crucial adjunct in every liver resection and may significantly impact intraoperative surgical decisions. However, IOUS is highly operator dependent and has a steep learning curve. We describe the design and assessment of an artificial intelligence (AI) system to identify focal liver lesions in IOUS. METHODS: IOUS images were collected during liver resections performed between November 2020 and November 2021. The images were labeled by radiologists and surgeons as normal liver tissue versus images that contain liver lesions. A convolutional neural network (CNN) was trained and tested to classify images based on the labeling. Algorithm performance was tested in terms of area under the curves (AUCs), accuracy, sensitivity, specificity, F1 score, positive predictive value, and negative predictive value. RESULTS: Overall, the dataset included 5043 IOUS images from 16 patients. Of these, 2576 were labeled as normal liver tissue and 2467 as containing focal liver lesions. Training and testing image sets were taken from different patients. Network performance area under the curve (AUC) was 80.2 ± 2.9%, and the overall classification accuracy was 74.6% ± 3.1%. For maximal sensitivity of 99%, the classification specificity is 36.4 ± 9.4%. CONCLUSIONS: This study provides for the first time a proof of concept for the use of AI in IOUS and show that high accuracy can be achieved. Further studies using high volume data are warranted to increase accuracy and differentiate between lesion types.

Using Augmented Reality for Intraoperative Guidance During Sacral Neuromodulation System Implantation.

Objective: The purpose of this study was to examine the feasibility of using augmented reality during lead placement for sacral nerve stimulation (SNS). Methods: The study was a prospective case series performed in a single tertiary center. Patients with fecal incontinence or urinary retention eligible for SNS according to the American society of colon and rectal surgeon's guidelines were included. Each patient underwent a computerized tomography scan of the sacrum and pelvic floor before surgery; and a segmentation of the sacral bone, the skin, and three fiducial markers on the lower back was produced. Surgical planning included the design of an ideal virtual transmission tract leading to the S3 foramen using the most suitable location and needle trajectory for introducing the lead. During the surgical intervention, a needle was inserted into the S3 foramen using the aligned tract as visualized using the Microsoft HoloLens first generation head mounted unit. Results: Overall, 11 patients were included. Mean operative time was 43.8 minutes (range 25-81 minutes). All patients reported a significant reduction from the preoperative level of the mean postoperative Cleveland Clinic Incontinence Score (CCIS) assessed 2 weeks after the temporary SNS implant (CCIS preoperative 13.3, postoperative 8.5; CI -7.35 to -2.25; P < 0.01). The surgeons reported the imaging useful, allowing accurate and easier approach. Conclusions: Intraoperative augmented reality imaging for needle application during SNS appears to be feasible, practical, and may be useful in additional procedures.