| Classification of galactograms with ramification matrices: preliminary results. | |
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MedLine Citation:
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PMID: 12583572 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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RATIONALE AND OBJECTIVES: The poor specificity of galactography, the imaging modality generally indicated in cases of nipple discharge, has led to a large number of biopsies with negative results. A quantitative scheme for classifying galactographic findings might help reduce the number of such biopsies in the future. As a first step toward that goal, the authors have studied one quantitative method for describing the branching of ducts by using ramification matrices (R matrices), and the correlation of the values of the matrix elements with clinical findings. MATERIALS AND METHODS: The ductal trees were manually segmented for 25 galactographic views from 15 patients, and corresponding R matrices were calculated. Patients were divided into two groups: those with no reported galactographic findings (NF) and those with reported findings (RF) of ductal ectasia, cysts, or papilloma. In a leave-one-out fashion, the authors evaluated a classification scheme that was based on R-matrix coefficients and used a Bayesian decision rule. The effects of segmentation were tested by successively removing each of the terminal ducts and computing the corresponding matrices of the pruned trees. RESULTS: With use of a single R-matrix element, 92% and 62% of NF and RF cases were correctly classified, respectively (P = .007). With use of two elements, 83% and 77% of NF and RF cases were correctly classified, but this result was not statistically significant (P = .108). In a test of robustness, an analysis of pruned trees yielded an average root-mean-square fractional difference of 9.7% between the elements of the original and the R matrix averaged over all pruned trees. CONCLUSION: The preliminary analysis indicates that it may be possible to identify cases with reported galactographic findings by using R matrices. |
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Authors:
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Predrag R Bakic; Michael Albert; Andrew D A Maidment |
Publication Detail:
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Type: Journal Article; Research Support, U.S. Gov't, Non-P.H.S. |
Journal Detail:
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Title: Academic radiology Volume: 10 ISSN: 1076-6332 ISO Abbreviation: Acad Radiol Publication Date: 2003 Feb |
Date Detail:
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Created Date: 2003-02-13 Completed Date: 2003-08-05 Revised Date: 2006-11-15 |
Medline Journal Info:
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Nlm Unique ID: 9440159 Medline TA: Acad Radiol Country: United States |
Other Details:
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Languages: eng Pagination: 198-204 Citation Subset: IM |
Affiliation:
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Department of Radiology, Thomas Jefferson University, Suite 3390 Gibbon Bldg, 111 S 11th St, Philadelphia, PA 19107-5563, USA. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Adult Aged Breast / pathology* Breast Neoplasms / pathology*, radiography Female Humans Mammography / methods* Middle Aged Nipples / pathology, radiography, secretion Papilloma / pathology*, radiography |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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