Objective Measurement error in predictor variables may threaten the validity of clinical
prediction models. We sought to evaluate the possible extent of the problem. A secondary …

Objective The aim of the work described here was to assess the application of ultrasound
(US) radiomics with machine learning (ML) classifiers to the prediction of axillary sentinel …

This study aimed to develop an intraoperative prediction model to evaluate the risk of non-
sentinel lymph node (NSLN) metastasis in Chinese breast cancer patients with 1–2 positive …

Purpose: Lymph node metastasis is a multifactorial event. Several scholars have developed
nomograph models to predict the sentinel lymph nodes (SLN) metastasis before operation …

Omission of axillary dissection in women with breast cancer and one or two positive sentinel-
node biopsy is a major advancement in the management of this disease. Supported by a …

Objective The aim of the present study was to investigate the association between non
sentinel lymph node metastasis (NSLNM) and clinicopathological factors, particularly in the …

Recent clinical trials have shown that sentinel lymph node biopsy (SLNB) alone without
axillary lymph node dissection (ALND) can offer excellent regional control if there is sentinel …

Background It is reported that appropriately 50% of early breast cancer patients with 1–2
positive sentinel lymph node (SLN) micro-metastases could not benefit from axillary lymph …

Background: Medulloblastoma (MB) is one of the most malignant neuroepithelial tumors in
the central nervous system. This study aimed to establish an effective prognostic nomogram …

Approximately 59% of patients with breast cancer with one or two sentinel lymph nodes (1–2
SLN) macrometastases do not benefit from axillary lymph node dissection (ALND), which …