MATERIALS AND METHODS A CAD program was developed for mammographic breast cancer detection. The program was applied to 2,3.
Thirteen radiologists who specialized in breast imaging participated in this pilot study. For each case, the individual radiologist performed a prospective Breast Imaging Reporting and Data System (BI- RADS) assessment after viewing of the screening mammogram. Subsequently, the radiologist was shown CAD results and rendered a second BI- RADS assessment by using knowledge of both mammographic appearance and CAD results. Outcome analysis of results of examination in patients recalled for a repeat examination, of biopsy, and of 1- year follow- up examination was recorded. Correct detection with CAD included a computer- generated mark indicating a possible malignancy on craniocaudal or mediolateral oblique views or both. RESULTS Eleven (0.
Ten (9. 1%) of 1. CI: 7. 4%, 1. 00%) cancers were correctly identified with CAD. Radiologist sensitivity without CAD was 9. CI: 7. 4%, 1. 00%). In 1,0. 77 patients, follow- up findings were documented at 1 year. Five (0. 4. 6%) patients developed cancers, which were found on subsequent screening mammograms.
MedWorm.com provides a medical RSS filtering service. Thousands of medical RSS feeds are combined and output via different filters. This feed contains the latest news in Urology & Nephrology. Friday 18th October 2013. Gold achieves better contrast than iodine at a lower X-ray dose (16). In nanoparticle form, gold is. Sample records for qualitative mammographic features. A bootstrap approach was used to identify the strongest features in the training dataset. In this isocentric DBT simulation.
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Large Clockwise Rotations In The Fore-arc of Northern Chile. NASA Astrophysics Data System (ADS) Arriagada, C.; Fernandez, R.; Roperch, P.; Mpodozis, C.; Cobbold, P.
The area where the cancers developed in two (4. Because of CAD results, a 9. CONCLUSION Performance of the CAD program had a very high.
Mammographic Imaging Studies Using the Monte Carlo Image Simulation- Differential Sampling (MCMIS- DS) Code. Sci. Tech Connect. Kuruvilla Verghese. This report summarizes the highlights of the research performed under the 1- year NEER grant from the Department of Energy. The primary goal of this study was to investigate the effects of certain design changes in the Fisher Senoscan mammography system and in the degree of breast compression on the discernability of microcalcifications in calcification clusters often observed in mammograms with tumor lesions. The most important design change that one can contemplate in a digital mammography system to improve resolution of calcifications is the reduction of pixel dimensions of the digital detector.
Breast compression is painful to the patient and is though to be a deterrent to women to get routine mammographic screening. Calcification clusters often serve as markers (indicators ) of breast cancer. Mammographic density, parity and age at first birth, and risk of breast cancer: an analysis of four case- control studies. Pub. Med. Woolcott, Christy G; Koga, Karin; Conroy, Shannon M; Byrne, Celia; Nagata, Chisato; Ursin, Giske; Vachon, Celine M; Yaffe, Martin J; Pagano, Ian; Maskarinec, Gertraud. Mammographic density is strongly and consistently associated with breast cancer risk. To determine if this association was modified by reproductive factors (parity and age at first birth), data were combined from four case- control studies conducted in the United States and Japan. To overcome the issue of variation in mammographic density assessment among the studies, a single observer re- read all the mammograms using one type of interactive thresholding software.
Logistic regression was used to estimate odds ratios (OR) while adjusting for other known breast cancer risk factors. Included were 1,6. A positive association between mammographic density and breast cancer risk was evident in every group defined by parity and age at first birth (OR per doubling of percent mammographic density ranged between 1. Nonetheless, the association appeared to be stronger among nulliparous than parous women (OR per doubling of percent mammographic density = 1. P interaction = 0. However, when examined by study location, the effect modification by parity was apparent only in women from Hawaii and when examined by menopausal status, it was apparent in postmenopausal, but not premenopausal, women.
Effect modification by parity was not significant in subgroups defined by body mass index or ethnicity. Adjusting for mammographic density did not attenuate the OR for the association between parity and breast cancer risk by more than 1. In conclusion, this study did not support the hypothesis that parity modifies the breast cancer risk attributed to mammographic density. Even though an effect modification was found in Hawaiian women, no such thing was found in women from the other three locations. Characteristics of quantitative perfusion parameters on dynamic contrast- enhanced MRI in mammographically occult breast cancer. Pub. Med. Ryu, Jung Kyu; Rhee, Sun Jung; Song, Jeong Yoon; Cho, Soo Hyun; Jahng, Geon- Ho.
The purpose of this study was to compare the characteristics of quantitative per- fusion parameters obtained from dynamic contrast- enhanced (DCE) magnetic resonance imaging (MRI) in patients with mammographically occult (MO) breast cancers and those with mammographically visible (MV) breast cancers. Quantitative parameters (AUC, Ktrans, kep, ve, vp, and wi) from 1. MO breast cancers and 1. MV breast cancers were mapped after the DCE- MRI data were acquired. Various prog- nostic factors, including axillary nodal status, estrogen receptor (ER), progesterone receptor (PR), Ki- 6. E- cadherin, and human epidermal growth factor receptor 2 (HER2) were obtained in each group.
Fisher's exact test was used to compare any differences of the various prognostic factors between the two groups. The Mann- Whitney U test was applied to compare the quantitative parameters between these two groups. Finally, Spearman's correlation was used to investigate the relation- ships between perfusion indices and four factors - age, tumor size, Ki- 6. Although age, tumor size, and the prognostic factors were not statistically different between the two groups, the mean values of the quantitative parameters, except wi in the MV group, were higher than those in the MO group without statistical significance (p = 0. The kep value was significantly differ- ent between the two groups (p = 0. In the MO group, vp with size, ve with p.
Ktrans and vp with Ki- 6. However, in the MV group, only kep showed significant correlation with age. The kep value was only the perfusion parameter of statistical significance between MO and MV breast cancers.
PMID: 2. 76. 85. 10. Assessment of change in breast density: reader performance using synthetic mammographic images. NASA Astrophysics Data System (ADS)Astley, Sue; Swayamprakasam, Chitra; Berks, Michael; Sergeant, Jamie; Morris, Julie; Wilson, Mary; Barr, Nicky; Boggis, Caroline. A recent study has shown that breast cancer risk can be reduced by taking Tamoxifen, but only if this results in at least a 1. When mammographic density is quantified visually, it is impossible to assess reader accuracy using clinical images as the ground truth is unknown. Our aim was to compare three models of assessing density change and to determine reader accuracy in identifying reductions of 1. We created 1. 00 synthetic, mammogram- like images comprising 5.
Model I: individual images were presented to readers and density assessed. Model II: pairs of images were displayed together, with readers assessing density for each image. Model III: pairs of images were displayed together, and readers asked whether there was at least a 1. Ten expert readers participated. Readers' estimates of percentage density were significantly closer to the truth (6. Measurement of change was significantly more accurate in Model II than Model I (p< 0. Detecting density changes of at least 1.
Model III (7. 4%- 9. Our results suggest that where readers need to identify change in density, images should be displayed alongside one another.
In our study, less accurate assessors performed better when asked directly about the magnitude of the change. Glycemic index, glycemic load and mammographic breast density: the EPIC Florence longitudinal study. Pub. Med. Masala, Giovanna; Assedi, Melania; Bendinelli, Benedetta; Ermini, Ilaria; Occhini, Daniela; Sieri, Sabina; Brighenti, Furio; Del Turco, Marco Rosselli; Ambrogetti, Daniela; Palli, Domenico.