Learning curve of vitrification assessed by cumulative summation test for learning curve (LC-CUSUM).

Fertil Steril

Service d'histologie et biologie de la reproduction, Assistance Publique Hôpitaux de Paris (APHP) - Hôpital Tenon, Paris, France; EA-1533, Université Paris VI, Paris, France.

Published: September 2009

We used the cumulative summation test for learning curve (LC-CUSUM), a specifically designed statistical tool, to evaluate the first 50 procedures performed by a trainee in vitrification and to provide a usable model for monitoring the learning process of this technique. Given the lack of models to evaluate IVF technologies, the CUSUM methodology could prove useful for quality control in laboratories.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.fertnstert.2009.01.133DOI Listing

Publication Analysis

Top Keywords

learning curve
12
cumulative summation
8
summation test
8
test learning
8
curve lc-cusum
8
learning
4
curve vitrification
4
vitrification assessed
4
assessed cumulative
4
lc-cusum cumulative
4

Similar Publications

A machine learning-based model to predict POD24 in follicular lymphoma: a study by the Chinese workshop on follicular lymphoma.

Biomark Res

January 2025

Department of Hematology, The First Affiliated Hospital of Xiamen University and Institute of Hematology, School of Medicine, Xiamen University, Xiamen, 361003, P.R. China.

Background: Disease progression within 24 months (POD24) significantly impacts overall survival (OS) in patients with follicular lymphoma (FL). This study aimed to develop a robust predictive model, FLIPI-C, using a machine learning approach to identify FL patients at high risk of POD24.

Methods: A cohort of 1,938 FL patients (FL1-3a) from seventeen centers nationwide in China was randomly divided into training and internal validation sets (2:1 ratio).

View Article and Find Full Text PDF

Background: There are multiple surgical approaches for treating symptomatic simple renal cysts (SSRCs). The natural orifice transluminal endoscopic surgery (NOTES) approach has gradually been applied as an emerging minimally invasive approach for the treatment of SSRCs. However, there are no clear indicators for selecting the NOTES approach for patients with SSRCs.

View Article and Find Full Text PDF

Hepatic cystic echinococcosis (HCE), a life-threatening liver disease, has 5 subtypes, i.e., single-cystic, polycystic, internal capsule collapse, solid mass, and calcified subtypes.

View Article and Find Full Text PDF

This study aims to construct and validate noninvasive diagnosis models for evaluating significant liver fibrosis in patients with chronic hepatitis B (CHB). A cohort of 259 CHB patients were selected as research subjects. Through random grouping, 182 cases were included in the training set and 77 cases in the validation set.

View Article and Find Full Text PDF

Radiomics and Deep Learning Model for Benign and Malignant Soft Tissue Tumors Differentiation of Extremities and Trunk.

Acad Radiol

January 2025

Department of Radiology, Southeast University Zhongda Hospital, No. 87 Dingjiaqiao Road, Gulou District, Nanjing, Jiangsu Province, China (M.Y., J.J.). Electronic address:

Rationale And Objectives: To develop radiomics and deep learning models for differentiating malignant and benign soft tissue tumors (STTs) preoperatively based on fat saturation T2-weighted imaging (FS-T2WI) of patients.

Materials And Methods: Data of 115 patients with STTs of extremities and trunk were collected from our hospital as the training set, and data of other 70 patients were collected from another center as the external validation set. Outlined Regions of interest included the intratumor and the peritumor region extending outward by 5 mm, then the corresponding radiomics features were extracted respectively.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!