Patient body mass index, dysphagia, spirometry, type of surgical technique, and operative time can help predict the likelihood of pulmonary or leak complications after esophagectomy. TNM (Tumor, Node, Metastasis) staging can help predict the overall survival after resection in locally advanced cases.

A single dose of preoperative prophylactic cefazolin has no significant benefit in reducing the incidence of SSI in laparoscopic cholecystectomy. Whether or not to use a prophylactic depends on the individual patient, and the consideration of the attending surgeon.

Objective:To understand the transition of changed body image after the diagnosis and surgery in women with breast cancer.Methods:Semi-structured interview and focus group with narrative approach. Thematic analysis was performed using methodological and investigator triangulation methods.Results:Participants’ body image transformation was categorized into three phases: (1) the moment of diagnosis and changed self, (2) transition and recovery, and (3) normalization.Conclusion:The truth-telling process of breast cancer diagnosis and the freedom to choose their treatment options have a profound impact on body image transformation of women with breast cancer. Family support, social construction, and social support could help women with breast cancer pass through these transitional process faster, while inappropriate truth-telling by their surgeons and not having any choice in their treatment options will delay the transitional process.

Background: Axillary lymph node dissection (ALND) remains the standard of care in breast cancer patients with positive sentinel lymph node (SLN). However, approximately 40-60% of patients with positive SLNs have not developed to non-SLN metastasis and ALND seems to be an overtreatment. The purpose of this study was to analyze predictors and define a specific cut-off of total tumor load (TTL) of CK19 that can be used as a predictive factor of non-SLN metastasis in early breast cancer patients. Materials and Methods: The records of 238 patients with cT1-3N0 breast cancer who had an intraoperative SLN evaluation performed through One-Step nucleic acid (OSNA) assay at Songklanagarind Hospital between 1 January 2015 and 31 December 2019 were examined. Univariate and Multivariate analysis was used to identify clinicopathologic features in SLN-positive patients that predict metastasis to non-SLNs. Finally, receiver operative characteristics (ROC) curves were used to choose an optimal TTL cut-off value. Results: Of a total of 110 patients who had a positive SLN, only 48 (43.64%) were found to have positive nodes in non-SLN. Multivariate analysis revealed that lymphovascular invasion, type of SLN metastasis and SLN TTL (copies/μL) were independent predictors of positive non-SLNs. TTL cut-off value was 19,000 copies/μL, with an AUC of 0.838 with 72.7% sensitivity and 84.7% specificity to predict non-SLN metastasis. Conclusions: The likelihood of positive non-SLNs in patients who showed a positive SLN correlates with lymphovascular invasion, type of SLN metastasis and SLN TTL (copies/μL). Our result revealed that the patients with a SLN TTL ≥19,000 copies/µl continue to attract the recommendation to proceed with ALND. This cut-off value can then help clinicians to assess which patients would benefit from ALND.