Literature DB >> 21795488

Statistical analysis and interpretation of prenatal diagnostic imaging studies, Part 1: evaluating the efficiency of screening and diagnostic tests.

Katherine R Goetzinger1, Anthony O Odibo.   

Abstract

Screening and diagnostic testing play fundamental roles in all fields of clinical medicine, with obstetric imaging and prenatal diagnosis being no exceptions. With advances in maternal serum screening and ultrasound technology, much research effort in the field of pre-natal diagnosis has actually been dedicated to the development and refinement of screening tests for fetal aneuploidy and other congenital disorders. This article aims to review the differences between screening and diagnostic tests, describe the accepted criteria for an efficient screening test, and provide an overview of the calculation and interpretation of test performance characteristics in relation to prenatal imaging studies.

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Mesh:

Year:  2011        PMID: 21795488     DOI: 10.7863/jum.2011.30.8.1121

Source DB:  PubMed          Journal:  J Ultrasound Med        ISSN: 0278-4297            Impact factor:   2.153


  5 in total

1.  The accuracy of panoramic radiography as a screening of bone mineral density in women: a systematic review.

Authors:  Mateus Azevedo Kinalski; Noeli Boscato; Melissa Feres Damian
Journal:  Dentomaxillofac Radiol       Date:  2019-10-23       Impact factor: 2.419

Review 2.  Screening tests: a review with examples.

Authors:  L Daniel Maxim; Ron Niebo; Mark J Utell
Journal:  Inhal Toxicol       Date:  2014-09-29       Impact factor: 2.724

3.  The Diagnostic Accuracy of Combined Enolase/Cr, CA125, and CA19-9 in the Detection of Endometriosis.

Authors:  Samaneh Rokhgireh; Abolfazl Mehdizadeh Kashi; Shahla Chaichian; Ali-Akbar Delbandi; Leila Allahqoli; Mahin Ahmadi-Pishkuhi; Sepideh Khodaverdi; Ibrahim Alkatout
Journal:  Biomed Res Int       Date:  2020-09-02       Impact factor: 3.411

4.  Accuracy of the Triple Test Versus Colposcopy for the Diagnosis of Premalignant and Malignant Cervical Lesions.

Authors:  Neda Fatahi Meybodi; Mojgan Karimi-Zarchi; Leila Allahqoli; Leila Sekhavat; George Gitas; Azam Rahmani; Arezoo Fallahi; Babak Hassanlouei; Ibrahim Alkatout
Journal:  Asian Pac J Cancer Prev       Date:  2020-12-01

5.  Machine Learning Prediction of Fall Risk in Older Adults Using Timed Up and Go Test Kinematics.

Authors:  Venous Roshdibenam; Gerald J Jogerst; Nicholas R Butler; Stephen Baek
Journal:  Sensors (Basel)       Date:  2021-05-17       Impact factor: 3.576

  5 in total

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