Literature DB >> 16378028

Digital tools for collecting data from cervigrams for research and training in colposcopy.

Jose Jeronimo1, L Rodney Long, Leif Neve, Bopf Michael, Sameer Antani, Mark Schiffman.   

Abstract

Colposcopy is a critical part of gynecologic practice but has documented deficiencies, including lack of correlation between the colposcopic appearance and the severity of underlying neoplasia, limited reproducibility, and difficulty in the optimal placement of colposcopically directed biopsies. In a collaborative effort to improve colposcopy, we are analyzing digitized cervigram images from National Cancer Institute-funded studies. Specifically, the National Cancer Institute has collected close to 100,000 cervigrams, digitized to create a database of images of the uterine cervix for research, training, and education. In addition to the cervigram images, this database contains clinical, cytologic, and molecular information at multiple examinations of 15,000 women, with password and ID labeling strategies to protect patient privacy. The National Library of Medicine has designed two web-accessible software tools. The Boundary Marking Tool allows experts on colposcopy to perform an evaluation of the pictures and to mark boundary regions of normal and abnormal regions of the uterine cervix; these evaluations are collected and saved in the database. The Multimedia Database Tool enables retrieval of test and image biomedical data according to specific queries, for example, all women with cervical intraepithelial neoplasia 3 whose cytologic results are atypical squamous cells of undetermined significance. The resource soon will be available as an open resource, via a teaching tool coordinated by a database manager, which will permit a variety of applications for teaching and research. In this article, we describe the perceived need for the resource and its components.

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Year:  2006        PMID: 16378028     DOI: 10.1097/01.lgt.0000194057.20485.5a

Source DB:  PubMed          Journal:  J Low Genit Tract Dis        ISSN: 1089-2591            Impact factor:   1.925


  10 in total

1.  An Observational Study of Deep Learning and Automated Evaluation of Cervical Images for Cancer Screening.

Authors:  Liming Hu; David Bell; Sameer Antani; Zhiyun Xue; Kai Yu; Matthew P Horning; Noni Gachuhi; Benjamin Wilson; Mayoore S Jaiswal; Brian Befano; L Rodney Long; Rolando Herrero; Mark H Einstein; Robert D Burk; Maria Demarco; Julia C Gage; Ana Cecilia Rodriguez; Nicolas Wentzensen; Mark Schiffman
Journal:  J Natl Cancer Inst       Date:  2019-09-01       Impact factor: 13.506

2.  Multi-feature based Benchmark for Cervical Dysplasia Classification Evaluation.

Authors:  Tao Xu; Han Zhang; Cheng Xin; Edward Kim; L Rodney Long; Zhiyun Xue; Sameer Antani; Xiaolei Huang
Journal:  Pattern Recognit       Date:  2016-09-22       Impact factor: 7.740

3.  A unified set of analysis tools for uterine cervix image segmentation.

Authors:  Zhiyun Xue; L Rodney Long; Sameer Antani; Leif Neve; Yaoyao Zhu; George R Thoma
Journal:  Comput Med Imaging Graph       Date:  2010-05-26       Impact factor: 4.790

4.  Investigating CBIR techniques for cervicographic images.

Authors:  Zhiyun Xue; Sameer Antani; L Rodney Long; Jose Jeronimo; George R Thoma
Journal:  AMIA Annu Symp Proc       Date:  2007-10-11

5.  An evaluation by midwives and gynecologists of treatability of cervical lesions by cryotherapy among human papillomavirus-positive women.

Authors:  Julia C Gage; Ana Cecilia Rodriguez; Mark Schiffman; Sydney Adadevoh; Manuel J Alvarez Larraondo; Bandit Chumworathayi; Sandra Vargas Lejarza; Luis Villegas Araya; Francisco Garcia; Scott R Budihas; Rodney Long; Hormuzd A Katki; Rolando Herrero; Robert D Burk; Jose Jeronimo
Journal:  Int J Gynecol Cancer       Date:  2009-05       Impact factor: 3.437

6.  Treatability by cryotherapy in a screen-and-treat strategy.

Authors:  Julia C Gage; Ana Cecilia Rodriguez; Mark Schiffman; Francisco M Garcia; Rodney L Long; Scott R Budihas; Rolando Herrero; Robert D Burk; Jose Jeronimo
Journal:  J Low Genit Tract Dis       Date:  2009-07       Impact factor: 1.925

7.  The accuracy of colposcopic grading for detection of high-grade cervical intraepithelial neoplasia.

Authors:  L Stewart Massad; Jose Jeronimo; Hormuzd A Katki; Mark Schiffman
Journal:  J Low Genit Tract Dis       Date:  2009-07       Impact factor: 1.925

8.  Semantator: annotating clinical narratives with semantic web ontologies.

Authors:  Dezhao Song; Christopher G Chute; Cui Tao
Journal:  AMIA Jt Summits Transl Sci Proc       Date:  2012-03-19

9.  Rationale and development of an on-line quality assurance programme for colposcopy in a population-based cervical screening setting in Italy.

Authors:  Lauro Bucchi; Paolo Cristiani; Silvano Costa; Patrizia Schincaglia; Paola Garutti; Priscilla Sassoli de Bianchi; Carlo Naldoni; Oswaldo Olea; Mario Sideri
Journal:  BMC Health Serv Res       Date:  2013-06-28       Impact factor: 2.655

10.  Deep Metric Learning for Cervical Image Classification.

Authors:  Anabik Pal; Zhiyun Xue; Brian Befano; Ana Cecilia Rodriguez; L Rodney Long; Mark Schiffman; Sameer Antani
Journal:  IEEE Access       Date:  2021-03-29       Impact factor: 3.367

  10 in total

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