Knowlesallred6152

Pancreatic ductal adenocarcinoma (PDAC) is one of malignant tumors with the worst prognosis. Surgery and adjuvant chemotherapy are the main treatments for resectable pancreatic cancer. For borderline resectable PDAC, neoadjuvant chemotherapy has been advised. For clearly resectable PDAC, neoadjuvant chemotherapy also might be considered for the patients with high-risk features, but with no precise quantitative criteria to define these features. So, this study aimed to re-evaluate the relationship between high-risk features and prognosis of clearly resectable pancreatic cancer, and to define the precise criteria for these high-risk features.

Data from 211 patients with clearly resectable pancreatic cancer were reviewed to assess the relationship between overall survival (OS) after surgery and high-risk features, and cut-off values were determined for high-risk features that were associated with poor prognosis of clearly resectable pancreatic cancer.

Lymph node metastasis (LNM), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and primary tumor size ≥6 cm were significant variables related to OS. CA19-9 ≥1,000 U/mL was statistically related to prognosis, as was CA19-9 ≥500 U/mL without obstructive jaundice. There was no significant relationship between abdominal and/or back pain and OS, but patients with moderate or severe pain accompanied by tumor size ≥4 cm or 10 times higher CA19-9 levels had worse prognosis.

For clearly resectable pancreatic cancer with R0 resection, the high-risk features were clarified. Abdominal and/or back pain may not be used as a prognostic indicator alone, though combined with CA19-9 or tumor size it may be more valuable for predicting prognosis.

For clearly resectable pancreatic cancer with R0 resection, the high-risk features were clarified. Abdominal and/or back pain may not be used as a prognostic indicator alone, though combined with CA19-9 or tumor size it may be more valuable for predicting prognosis.

Sentinel lymph node biopsy (SLNB) is the standard procedure for axillary staging in clinically node-negative (cN0) breast cancer patients. The positive rate of SLNs in cN0 stage patients ranges from 20.5% to 25.5%, so identifying appropriate candidates for SLNB is quite challenging. The aims of this study were to assess whether contrast-enhanced ultrasound (CEUS) could be utilized to noninvasively predict SLN metastasis, and to explore the predictive value of the involved factors.

Between May 2016 and May 2018, 217 consenting breast cancer patients undergoing SLNB were enrolled. Before the surgery, CEUS was utilized to identify the SLNs, and predict whether metastasis had occurred according to their enhancement pattern. Blue dye was also used to identify the SLNs during SLNB. The rates of identification and accuracy of both methods were recorded. The predictive outcomes of SLNs identified by CEUS were recorded and compared with the pathological diagnosis.

Of the 217 cases, SLNs in 212 cases were successely predict SLN metastasis in early-stage breast cancer patients. However, the primary tumor size and the SLN size should not be overlooked by clinicians when judging the status of SLNs. This novel method may be a recommended strategy for identifying appropriate SLNB candidates.

CEUS accurately identified SLNs and can be used to noninvasively predict SLN metastasis in early-stage breast cancer patients. However, the primary tumor size and the SLN size should not be overlooked by clinicians when judging the status of SLNs. This novel method may be a recommended strategy for identifying appropriate SLNB candidates.

Axillary lymph node (ALN) management in early-stage breast cancer (ESBC) patients has become less invasive during the past decades. Here, we tried to explore whether high nodal burden (HNB) in ESBC patients could be predicted preoperatively, so as to avoid unnecessary sentinel lymph node biopsy (SLNB).

The clinicopathological and imaging data of patients with early invasive breast cancer (cT

N

M

) were analyzed retrospectively. Univariate and multivariate analyses were performed for the risk factors of axillary HNB in ESBC patients, and a risk prediction model of HNB was established.

HNB was identified in 105 (8.0%) of 1,300 ESBC patients. Multivariate analysis showed that estrogen receptors (ER) status, human epidermal growth factor receptor 2 (HER2) status, number of abnormal lymph nodes (LNs) on computed tomography (CT), and axillary score on ultrasound (US) were the risk factors of HNB (all P<0.05). The area under the receiver operating characteristic (ROC) curve in the prediction model was 0.914, with the sensitivity being 85.7% and the specificity being 82.4%. The calibration curve showed that the prediction model had good performance.

As a valuable tool for predicting HNB in ESBC patients, this newly established model helps clinicians to make reasonable axillary surgery decisions and thus avoid unnecessary SLNB.

As a valuable tool for predicting HNB in ESBC patients, this newly established model helps clinicians to make reasonable axillary surgery decisions and thus avoid unnecessary SLNB.

Perforated marginal ulcers (PMUs) are a feared long-term complication following pancreaticoduodenectomy (PD), which always require relaparotomy compared to marginal ulcers.

First, we performed a retrospective chart review for all patients who underwent PD from 2007-2016 to identify incidence and risk factors associated with PMUs. NHWD870 Second, we analyzed follow up gastroscopies in all patients undergoing PD from 2007-2011 to identify the overall incidence of marginal ulcers.

A total of 725 patients underwent PD in the retrospective study period. 17 patients (2.3%) suffered from PMU at a median postoperative time of 13 months. These patients were significantly younger (median age 49 vs. 62 years; P=0.02) and suffered most often from chronic pancreatitis (P<0.001). Smoking and alcohol consumption were significantly more common (P=0.01 and P=0.023). An elevated level of carcinoembryonic antigen and chronic pancreatitis were identified as independent risk factors. Overall, 373 patients were enrolled for prospective analysis.