[Chylothorax]. / Chylothorax.

Chylothorax is a serious and potentially life-threatening condition of diverse etiology. This article provides a detailed overview of anatomy, physiology, etiology, diagnosis, and therapeutic options in the context of chylothorax.

Intraoperative Determination of Bronchus Stump and Anastomosis Perfusion with Hyperspectral Imaging.

BACKGROUND: The intraoperative evaluation of bronchus perfusion is limited. Hyperspectral Imaging (HSI) is a newly established intraoperative imaging technique that enables a non-invasive, real-time perfusion analysis. Therefore, the purpose of this study was to determine the intraoperative perfusion of bronchus stump and anastomosis during pulmonary resections with HSI. METHODS: In this prospective, IDEAL Stage 2a study (Clinicaltrials.gov: NCT04784884) HSI measurements were carried out before bronchial dissection and after bronchial stump formation or bronchial anastomosis, respectively. Tissue oxygenation (StO2; upper tissue perfusion), organ hemoglobin index (OHI), near-infrared index (NIR; deeper tissue perfusion) and tissue water index (TWI) were calculated. RESULTS: Bronchus stumps showed a reduced NIR (77.82 ± 10.27 vs 68.01 ± 8.95; P = 0,02158) and OHI (48.60 ± 1.39 vs 38.15 ± 9.74; P = <.0001), although the perfusion of the upper tissue layers was equivalent before and after resection (67.42% ± 12.53 vs 65.91% ± 10.40). In the sleeve resection group, we found both a significant decrease in StO 2 and NIR between central bronchus and anastomosis region (StO2: 65.09% ± 12.57 vs 49.45 ± 9.94; P = .044; NIR: 83.73 ± 10.92 vs 58.62 ± 3.01; P = .0063). Additionally, NIR was decreased in the re-anastomosed bronchus compared to central bronchus region (83.73 ± 10.92 vs 55.15 ± 17.56; P = .0029). CONCLUSIONS: Although both bronchus stumps and anastomosis show an intraoperative reduction of tissue perfusion, there is no difference of tissue hemoglobin level in bronchus anastomosis.

Influence of Anastomotic Leak After Elective Colorectal Cancer Resection on Survival and Local Recurrence: A Propensity Score Analysis.

BACKGROUND: The occurrence of anastomotic leakage is still a life-threatening complication for patients after colorectal surgery. In literature not only an impact on the short-term outcome but also on long-term survival and local recurrence of colorectal cancer patients is discussed. OBJECTIVE: This study aimed to investigate the impact of anastomotic leakage on long-term survival and local recurrence. DESIGN: A total of 1122 patients with resections for colorectal cancer were analyzed. In 94 patients (8.4%) there was clinical proof of anastomotic leakage. A reference group was defined as the 1028 patients without anastomotic leakage using 1:1 propensity score-matching according to the following criteria: age, sex, International Union Against Cancer stage, Karnofsky index, tumor site, and grading, as well as adjuvant chemotherapy. A calculation of overall survival, disease-free survival, and local recurrence rate was performed for both groups. SETTINGS: The study was conducted using a retrospective matched-pairs analysis, based on a prospectively maintained institutional colorectal cancer database. PATIENTS: Ninety-four patients with anastomotic leakage and 94 matched control subjects from a total of 1122 patients with resections for colorectal cancer were studied. MAIN OUTCOME MEASURES: Overall survival, disease-free survival, and local recurrence rate for patients with colorectal cancer with and without anastomotic leakage were measured. RESULTS: The propensity score matching successfully created 2 groups with no significant differences in the matching criteria. Survival analysis disclosed no significant differences between the groups in terms of overall survival, disease-free survival, and local recurrence rate. Univariate analysis identified age, Karnofsky index, International Union Against Cancer stage, and lymph node metastasis as significant prognostic factors. Multivariable analysis of these variates revealed age and positive lymph nodes as independent predictors of overall survival and disease-free survival. LIMITATIONS: The study was limited by nature of being a retrospective analysis and monocentric study. CONCLUSIONS: This matched-pairs analysis, comparing patients with colorectal cancer with and without anastomotic leakage, revealed no significant differences in overall survival, disease-free survival, and local recurrence rate. Contrary results in the literature might be caused by nonbalanced settings in nonmatched collectives. See Video Abstract at http://links.lww.com/DCR/A811.

Laparoscopic Confocal Laser Microscopy Without Fluorescent Injection: A Pilot Ex Vivo Study in Colon Cancer.

Introduction Histological analysis of surgical specimen is the gold standard for cancer classification. In particular, frozen histological diagnosis of vague peritoneal spots or uncertain excision of tumors plays a crucial role for proceeding with or without change of the operation procedure. Confocal laser microscopy (CLM) enables in vivo and real-time high-resolution tissue analysis. To evaluate a novel technique of CLM without any fluorescent dye, this pilot ex vivo study demonstrates a CLM camera device for minimal invasive surgical approach. Methods In 5 cases, a laparoscopic CLM camera was used for examining colon and rectum specimen. Images of nonmalignant and malignant intestinal mucosa were characterized in terms of specific signal-patterns. No fluorescent dye was used. Correlations to findings in conventional histology were systematically recorded and described. Results Using this CLM camera device, it is possible to analyze colon specimen mucosa. Nonmalignant and malignant intestinal mucosa show specific signal patterns. Nonmalignant mucosa is defined by honeycomb structure. There is deregulated structure in colon and rectum carcinoma mucosa. The inside lumen is irregular. The radial border appears swollen with reduced contrast. Discussion This pilot study shows that the assessment of colon mucosa with a prototype of CLM camera for minimally invasive surgical approach without any fluorescent dye is feasible. It is possible to differentiate between benign and malignant mucosa in colon specimen by easy to evaluate and reproducible parameters. These first steps of this pioneering achievement to establish CLM in minimal invasive surgical procedures show a great potential for a more reliable intraoperative evaluation of suspect foci.

Hyperspectral imaging enables the differentiation of differentially inflated and perfused pulmonary tissue: a proof-of-concept study in pulmonary lobectomies for intersegmental plane mapping.

OBJECTIVES: The identification of the intersegmental plane is a major interoperative challenges during pulmonary segmentectomies. The objective of this pilot study is to test the feasibility of lung perfusion assessment by Hyperspectral Imaging for identification of the intersegmental plane. METHODS: A pilot study (clinicaltrials.org: NCT04784884) was conducted in patients with lung cancer. Measuring tissue oxygenation (StO2; upper tissue perfusion), organ hemoglobin index (OHI), near-infrared index (NIR; deeper tissue perfusion) and tissue water index (TWI), the Hyperspectral Imaging measurements were carried out in inflated (Pvent) and deflated pulmonary lobes (PnV) as well as in deflated pulmonary lobes with divided circulation (PnVC) before dissection of the lobar bronchus. RESULTS: A total of 341 measuring points were evaluated during pulmonary lobectomies. Pulmonary lobes showed a reduced StO2 (Pvent: 84.56% ± 3.92 vs. PnV: 63.62% ± 11.62 vs. PnVC: 39.20% ± 23.57; p<0.05) and NIR-perfusion (Pvent: 50.55 ± 5.62 vs. PnV: 47.55 ± 3.38 vs. PnVC: 27.60 ± 9.33; p<0.05). There were no differences of OHI and TWI between the three groups. CONCLUSIONS: This pilot study demonstrates that HSI enables differentiation between different ventilated and perfused pulmonary tissue as a precondition for HSI segment mapping.

Actinomyces Meyeri Empyema Necessitatis-A Case Report and Review of the Literature.

Pleural empyema necessitatis caused by Actinomyces meyeri is a rare but severe infection. A. species predominantly A. meyeri and A. israelii represent the second most common pathogen for empyema necessitans after mycobacteria. The incidence is reported in the literature to be 1:300,000. Men are thrice more likely to be affected than women. Pathogenetically, an infection can be triggered by aspiration in immunocompromised individuals which leads to an atelectasis with pneumonitis. In two cases, a 38-year-old construction worker and a 61-year-old woman with ulcerative breast carcinoma, who presented to the local emergency department with a painful swelling of the left chest, diagnostic workup revealed a pleural empyema necessitatis of the left chest. An antibiotic treatment was initiated with piperacillin/tazobactam and sulbactam/ampicillin, respectively. Temporally vacuum-dressing therapy was initiated after surgical debridement. In the course of the procedure, a reconstruction of tissue damage was feasible. The patients were recovered completely and discharged with an oral antibiotic treatment (amoxicillin) for 6 and 12 months, respectively. Thoracic actinomycosis is a relatively uncommon and traditionally chronic, indolent infection secondary to pulmonary infection with A. species . Surgical treatment is generally reserved for cases failing to resolve with antibiotic therapy. Early diagnosis, prompt debridement, and narrow spectrum ß-lactam antibiotics can result in complete resolution of infection and good prognosis.

Deep transfer learning methods for colon cancer classification in confocal laser microscopy images.

PURPOSE: The gold standard for colorectal cancer metastases detection in the peritoneum is histological evaluation of a removed tissue sample. For feedback during interventions, real-time in vivo imaging with confocal laser microscopy has been proposed for differentiation of benign and malignant tissue by manual expert evaluation. Automatic image classification could improve the surgical workflow further by providing immediate feedback. METHODS: We analyze the feasibility of classifying tissue from confocal laser microscopy in the colon and peritoneum. For this purpose, we adopt both classical and state-of-the-art convolutional neural networks to directly learn from the images. As the available dataset is small, we investigate several transfer learning strategies including partial freezing variants and full fine-tuning. We address the distinction of different tissue types, as well as benign and malignant tissue. RESULTS: We present a thorough analysis of transfer learning strategies for colorectal cancer with confocal laser microscopy. In the peritoneum, metastases are classified with an AUC of 97.1, and in the colon the primarius is classified with an AUC of 73.1. In general, transfer learning substantially improves performance over training from scratch. We find that the optimal transfer learning strategy differs for models and classification tasks. CONCLUSIONS: We demonstrate that convolutional neural networks and transfer learning can be used to identify cancer tissue with confocal laser microscopy. We show that there is no generally optimal transfer learning strategy and model as well as task-specific engineering is required. Given the high performance for the peritoneum, even with a small dataset, application for intraoperative decision support could be feasible.