Factors predicting upstaging from clinical N0 to pN2a/N3a in breast cancer patients

BACKGROUND With sentinel node metastasis in breast cancer(BC)patients,axillary lymph node(ALN)dissection is often omitted from cases with breast-conserving surgery.Omission of lymph node dissection reduces the invasiveness of surgery to the patient,but it also obscures the number of metastases to non-sentinel nodes.The possibility of finding≥4 lymph nodes(pN2a/pN3a)preoperatively is important given the ramifications for postoperative treatment.AIM To search for clinicopathological factors that predicts upstaging from N0 to pN2a/pN3a.METHODS Patients who were sentinel lymph node(SLN)-positive and underwent ALN dissection between September 2007 and August 2018 were selected by retrospective chart review.All patients had BC diagnosed preoperatively as N0 with axillary evaluation by fluorodeoxyglucose(FDG) positron emission tomography/computed tomography and ultrasound (US)examination. When suspicious FDG accumulation was found in ALN, the presence of metastasiswas reevaluated by second US. We examined predictors of upstaging from N0 to pN2a/pN3a.RESULTSAmong 135 patients, we identified 1-3 ALNs (pN1) in 113 patients and ³4 ALNs (pN2a/pN3a) in22 patients. Multivariate analysis identified the total number of SLN metastasis, the maximaldiameter of metastasis in the SLN (SLNDmax), and FDG accumulation of ALN as predictors ofupstaging to pN2a/pN3a.CONCLUSIONWe identified factors involved in upstaging from N0 to pN2a/pN3a. The SLNDmax and numberof SLN metastasis are predictors of ≥ 4 ALNs (pN2a/pN3a) and predictors of metastasis to nonsentinelnodes, which have been reported in the past. Attention should be given to axillaryaccumulations of FDG, even when faint.

Performance Evaluation of Super-Resolution Methods Using Deep-Learning and Sparse-Coding for Improving the Image Quality of Magnified Images in Chest Radiographs

Purpose: To detect small diagnostic signals such as lung nodules in chest radiographs, radiologists magnify a region-of-interest using linear interpolation methods. However, such methods tend to generate over-smoothed images with artifacts that can make interpretation difficult. The purpose of this study was to investigate the effectiveness of super-resolution methods for improving the image quality of magnified chest radiographs. Materials and Methods: A total of 247 chest X-rays were sampled from the JSRT database, then divided into 93 training cases with non-nodules and 154 test cases with lung nodules. We first trained two types of super-resolution methods, sparse-coding super-resolution (ScSR) and super-resolution convolutional neural network (SRCNN). With the trained super-resolution methods, the high-resolution image was then reconstructed using the super-resolution methods from a low-resolution image that was down-sampled from the original test image. We compared the image quality of the super-resolution methods and the linear interpolations (nearest neighbor and bilinear interpolations). For quantitative evaluation, we measured two image quality metrics: peak signal-to-noise ratio (PSNR) and structural similarity (SSIM). For comparative evaluation of the super-resolution methods, we measured the computation time per image. Results: The PSNRs and SSIMs for the ScSR and the SRCNN schemes were significantly higher than those of the linear interpolation methods (p p p Conclusion: Super-resolution methods provide significantly better image quality than linear interpolation methods for magnified chest radiograph images. Of the two tested schemes, the SRCNN scheme processed the images fastest;thus, SRCNN could be clinically superior for processing radiographs in terms of both image quality and processing speed.

Current status of treatment for colorectal liver metastases in the United Kingdom

Hepatectomy is the treatment choice for resectable colorectal cancer(CRC)liver metastases(LM)(CRCLM)according to the national guidelines(1-3).The National Comprehensive Cancer Network guidelines indicate that the treatment for liver-limited metastases depends on the resectability(1).In the European Society for Medical Oncology guideline,a similar statement is made on the treatment of resectable CRCLM,except for the recommendation of perioperative chemotherapy for some populations with resectable CRCLM(2).In the Japanese Society for Cancer of the Colon and Rectum(JSCCR)guidelines,hepatic resection is recommended for LMs if all the lesions are curatively resectable(3).