vNOTES Hysterectomy for Large Uteri: A Retrospective Cohort Study of 114 Patients.

STUDY OBJECTIVE: To evaluate the outcome of hysterectomy through vaginal natural orifice transluminal endoscopic surgery (vNOTES) in cases with a large uterus. DESIGN: A retrospective cohort study. SETTING: Belgian teaching hospital. PATIENTS: Women who underwent a vNOTES hysterectomy from March 2015 to March 2020 for benign gynecologic disease with a uterine weight of 280 g or more on pathologic examination (N = 114). INTERVENTIONS: All women underwent vaginally assisted NOTES hysterectomy. We performed a retrospective analysis of baseline patient characteristics and clinical outcomes. MEASUREMENTS AND MAIN RESULTS: The mean age was 50 ± 3.5 years. Twenty-two (19%) patients were obese (body mass index ≥30 kg/m2), and 4 (3.5%) were morbidly obese (body mass index ≥40 kg/m2). Thirty-five (31%) patients were nulliparous, and 15 (13%) women had 1 or more cesarean sections in their medical history. Uterine weight varied from 281 g to 3361 g, with a mean weight of 559 ± 425 g. Mean surgical time was 63 ± 34 minutes. Surgical time was positively associated with uterine size. There were 4 complications: 3 bleeding complications in the first 24 hours after surgery and 1 minor late complication. Conversion to laparotomy for specimen extraction was performed in 1 case (conversion rate 0.9%). There were no conversions to laparoscopy. No ureteric, bladder, or intestinal injuries occurred in this case series, and there were neither life-threatening complications nor intensive care unit admissions. CONCLUSION: The vNOTES technique can offer a safe and effective alternative to laparoscopy or laparotomy in cases with a large to very large uterus, even if the patient has a history of cesarean section, obesity, or nulliparity. In 99% of all women in this study, hysterectomy was successfully performed through vNOTES without conversion. By making use of the advantages of endoscopic surgery, vNOTES might broaden the indications of vaginal hysterectomy. Randomized controlled trials are needed to evaluate whether vaginally assisted NOTES hysterectomy is superior to laparoscopic or abdominal hysterectomy in large uteri cases.

Machine Learning Algorithm to Estimate Distant Breast Cancer Recurrence at the Population Level with Administrative Data.

Purpose: High-quality population-based cancer recurrence data are scarcely available, mainly due to complexity and cost of registration. For the first time in Belgium, we developed a tool to estimate distant recurrence after a breast cancer diagnosis at the population level, based on real-world cancer registration and administrative data. Methods: Data on distant cancer recurrence (including progression) from patients diagnosed with breast cancer between 2009-2014 were collected from medical files at 9 Belgian centers to train, test and externally validate an algorithm (i.e., gold standard). Distant recurrence was defined as the occurrence of distant metastases between 120 days and within 10 years after the primary diagnosis, with follow-up until December 31, 2018. Data from the gold standard were linked to population-based data from the Belgian Cancer Registry (BCR) and administrative data sources. Potential features to detect recurrences in administrative data were defined based on expert opinion from breast oncologists, and subsequently selected using bootstrap aggregation. Based on the selected features, classification and regression tree (CART) analysis was performed to construct an algorithm for classifying patients as having a distant recurrence or not. Results: A total of 2507 patients were included of whom 216 had a distant recurrence in the clinical data set. The performance of the algorithm showed sensitivity of 79.5% (95% CI 68.8-87.8%), positive predictive value (PPV) of 79.5% (95% CI 68.8-87.8%), and accuracy of 96.7% (95% CI 95.4-97.7%). The external validation resulted in a sensitivity of 84.1% (95% CI 74.4-91.3%), PPV of 84.1% (95% CI 74.4-91.3%), and an accuracy of 96.8% (95% CI 95.4-97.9%). Conclusion: Our algorithm detected distant breast cancer recurrences with an overall good accuracy of 96.8% for patients with breast cancer, as observed in the first multi-centric external validation exercise.

Pectoral Nerve Block Type II as the Sole Anesthetic for Removal of a Large Axillary Tumor: A Case Report.

The pectoral nerve block type II (Pecs II block) combined with general anesthesia provides analgesia during breast and axillary surgery. This report describes the first use of the Pecs II block as the sole anesthetic for axillary surgery. A patient needed resection of axillary masses. She was not only very reluctant to have general anesthesia but also considered high risk because of multiple comorbidities. An ultrasound-guided Pecs II block was performed. Both masses were resected without additional sedation or analgesia. This case report suggests that, in selected cases, the Pecs II block can be used as the sole anesthetic for axillary surgery.

Fibromatosis-like metaplastic carcinoma: a case report and review of the literature.

BACKGROUND: We report an unusual case of low-grade fibromatosis-like metaplastic carcinoma (LG-FLMC) of the breast. This exceedingly rare epithelial breast malignancy has been reported only 68 times in the past 20 years, and is classified as a subtype of metaplastic breast carcinoma (MBC). It is a locally aggressive tumor with a low potential for lymph node and distant metastases, but with a tendency to recur after excision. Here we describe a less common presentation of LG-FLMC, provide its molecular characterization, discuss the major differential diagnosis and bring a short review of the literature. CASE PRESENTATION: A 65-year-old woman presented with a self-palpated breast lump that had discordant radio-pathological features. While imaging results were compatible with an infiltrative malignancy, on core needle biopsy (CNB) a sharply delineated lesion composed by a bland-looking population of spindle cells was observed; excision was recommended for final diagnosis. Histology of the resection specimen showed small areas of epithelial differentiation and foci of peripheral invasion. Immunohistochemical analysis revealed a co-immunoreactivity for epithelial and myoepithelial markers in the spindle cell component. Mutation analysis with a capture-based next generation sequencing method revealed pathogenic mutations in GNAS, TERT-promotor and PIK3R1 genes. A diagnosis of LG-FLMC was rendered. CONCLUSION: This case highlights the importance of a broad differential diagnosis, exhaustive sampling and the use of a broad immunohistochemical panel whenever dealing with a low-grade spindle cell lesion in the breast, and provides further insights into the molecular background of LG-FLMC.