Masters Research - Master of Medical Science / Introduction: Between 6-10% of women attending breast screening are recalled to investigate an unclear area on the mammogram. Image quality is known to affect image interpretation and it has been suggested that the number of recalls could be reduced with improved image quality. Aim: This study aimed to investigate the effect image quality has on recall rates, to assess reader consistency using the PGMI classification system and to establish factors leading to recall. Materials and Methods: A six member panel assessed 904 sets of images (698 recalled; 206 non-recalled) through a BreastScreening Program during three separate phases (pilot, main and non-recall). The pilot study was conducted without additional training in PGMI. Levels of agreement and Kappa statistics were calculated to assess intra- and inter-consistency. The percentage of and reasons for inadequate images was calculated; while a case-control study was conducted to establish factors increasing the likelihood of a client being recalled. Results: The level of agreement between panel members significantly increased from the pilot to the main study (45.5% to 57.7%) before decreasing slightly for the non-recall (57.7% to 52.2%). Overall, 3.3% of the 904 sets of images were classed as inadequate; the most common PGMI reason was exposure (31%); the left MLO was considered the most common inadequate projection (30%), with more privately produced (66%) images considered inadequate compared to public images (34%). Inadequate image quality did not hinder the cancer detection rates. The case-control component demonstrated current and previous HRT use, increased breast density, better image quality and images being taken at a public site all contributed to a client being recalled. Conclusion: The results of this study demonstrated that inadequate image quality was not a major factor leading to recall; although twice the number of recalled images were considered inadequate compared to the non-recalled images. The use of the PGMI classification system is highly subjective, with low levels of agreement amongst users. The use of HRT, breast density, imaging site and image quality all contribute to a client being recalled.

Thesis (Ph.D.)--Hong Kong University of Science and Technology, 2007. / Includes bibliographical references (leaves 101-104). Also available in electronic version.

Thesis (Ph. D.)--Lehigh University, 1997. / Includes vita. Includes bibliographical references.

Thesis (M.C.M.)--Lincoln University, 2009. / Also available via the World Wide Web.

Thesis (Ph. D.)--West Virginia University, 2004. / Title from document title page. Document formatted into pages; contains vi, 101 p. : ill. Includes abstract. Includes bibliographical references (p. 96-101).

Thesis (M. Econ.)--University of Hong Kong, 1994. / Declaration statement inserted. Includes bibliographical references (leaves 100-103).

Thesis (M.A.)--West Virginia University, 2000. / Title from document title page. Document formatted into pages; contains vi, 53 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 25-26).

Thesis (MBus) -- AUT University, 2008. / Includes bibliographical references. Also held in print (v, 95 leaves ; 30 cm.) in the Archive at the City Campus (T 332.642 GUA)

Thesis (M.Sc.)(Mathematics and Applied Mathematics)) -- University of Pretoria, 2008.

Thesis (Ph. D.)--University of Chicago, Dept. of Economics. / Includes bibliographical references. Also available on the Internet.