Current state of digital mammography

Shiraishi, Akihiko

doi:10.1007/s12282-008-0046-z

Cited by 7 publications

(2 citation statements)

References 32 publications

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“…Based on this analysis, we should say that when analyzing the values using quantitative images, the effect of image blurring is noticeable for smaller objects. Especially, microcalcification detection in the mammography application needs to detect the object size down to several pixels (Shiraishi 2008), and it may not be possible to correct the blurring effect properly. Figure 9(b) shows a simulation result related to the effect on different amounts of blurring.…”

Section: Limitationsmentioning

confidence: 99%

A blurring correction method suitable to analyze quantitative x-ray images derived from energy-resolving photon counting detector

Kobayashi,

Hayashi,

Nishigami

et al. 2024

Phys. Med. Biol.

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Objective. The purpose of this study is to propose a novel blurring correction method that enables accurate quantitative analysis of the object edge when using energy-resolving photon counting detectors (ERPCDs). Although the ERPCDs have the ability to generate various quantitative analysis techniques, such as the derivations of effective atomic number (Zeff) and bone mineral density (BMD) values, at the object edge in these quantitative images, accurate quantitative information cannot be obtained. This is because image blurring prevents the gathering of accurate primary X-ray attenuation information. Approach. We developed the following procedure for blurring correction. A 5 × 5 pixels masking region was set as the processing area, and the pixels affected by blurring were extracted from the analysis of pixel value distribution. The blurred pixel values were then corrected to the proper values estimated by analyzing minimum and/or maximum values in the set mask area. The suitability of our correction method was verified by a simulation study and an experiment using a prototype ERPCD. Main results. When Zeff image of aluminum objects (Zeff = 13) were analyzed without applying our correction method, regardless of raw data or correction data applying a conventional edge enhancement method, the proper Zeff values could not be derived for the object edge. In contrast, when applying our correction method, 82% of pixels affected by blurring were corrected and the proper Zeff values were calculated for those pixels. As a result of investigating the applicability limits of our method through simulation, it was proven that it works effectively for objects with 4 × 4 pixels or more. Significance. Our method is effective in correcting image blurring when the quantitative image is calculated based on multiple images. It will become an in-demand technology for putting a quantitative diagnosis into actual medical examinations.

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Section: Limitationsmentioning

confidence: 99%

A blurring correction method suitable to analyze quantitative x-ray images derived from energy-resolving photon counting detector

Kobayashi,

Hayashi,

Nishigami

et al. 2024

Phys. Med. Biol.

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“…[ 3 ] To differentiate benign and malignant lesions, lesion biopsies, ultrasound assessment, and mammography evaluation are diagnostic methods. [ 4 ]…”

Section: Introductionmentioning

confidence: 99%

Is serum prostate-specific antigen a diagnostic marker for benign and malignant breast tumors in women?

et al. 2015

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Background:Breast cancer is the most common cancer in women. Prostate-specific antigen (PSA) is a marker of prostate gland malignancy, which has been considered in cases with breast cancer in recent years. The goal of this study was to determine total and free PSA levels in cases with malignant and benign breast lesions.Methods:In this case–control study, ninety women with histological proved malignant breast masses and 90 with benign breast masses were enrolled. Total and free PSA levels along with Histological grade and conditions of vascular and perinural invasion, status of hormonal tumor receptors, immune-histo-chemistry markers recorded for all cases. Total and free PSA levels were assessed after treatment in cases with malignant masses.Results:Total and free PSA levels were significantly higher in cases with malignant masses. The best cut-off point for total PSA to differentiate benign and malignant masses was 0.31 with sensitivity and specificity of 100%, 100% (area under the curve [AUC] =1, P < 0.001) and the best cut-off point for free PSA to differentiate benign and malignant masses was 0.19 with sensitivity and specificity of 100% and 100% (AUC = 1, P < 0.001). After treatment, mean free PSA level was significantly lower than free PSA before treatment (0.23 ± 0.1 vs. 0.3 ± 0.08, P < 0.001).Conclusions:Serum PSA level could be applied for differentiating benign and malignant breast masses.

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