Digital zoom of the full-field digital mammogram versus magnification mammography: a systematic review

Øynes, Mona; Strøm, Bergliot; Tveito, Bente Gunn; Hafslund, Bjorg

doi:10.1007/s00330-020-06798-6

Cited by 5 publications

(4 citation statements)

References 38 publications

(79 reference statements)

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“…e optical fiber terminal images are filtered by means of templates of 3 × 3 and 5 × 5, respectively [18]. When a 3 × 3 template is used to smooth the image of the optical fiber terminal, the effect is good, while when a 5 × 5 template is used to process, the edge and details of the image appear obvious blur, which is not suitable for subsequent processing.…”

Section: Mean Filtering Methodmentioning

confidence: 99%

Application of Digital Image Processing Technology in Textile and Garment Field

Shih

2022

Security and Communication Networks

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In order to study the shortcomings of traditional manual inspection of clothing, improve the quality of clothing. A method of applying digital image processing technology in the field of textile and clothing is proposed. This method combines computer digital image technology to propose an image processing and measurement process technology based on the Labview platform. Through the effective combination of neural networks and support vector machines, methods such as deep learning can better realize the recognition and classification of clothing images. According to a random interview survey of 80 people, 78 people think that the quality of clothing is the most important, and 2 people think that beauty is the most important. The experimental results show that the digital book processing technology platform can further improve the accuracy of clothing detection.

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Section: Mean Filtering Methodmentioning

confidence: 99%

Application of Digital Image Processing Technology in Textile and Garment Field

Shih

2022

Security and Communication Networks

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“…With advances in technology, FFDM has become widely used and direct digital zoom of FFDM images on workstation seems to be comparable in detection of microcalcifications. Øynes et al summarized diagnostic accuracy data for spot magnification and digital zoom at a threshold set to BI-RADS ≥ 4a (34). The ranges of sensitivity and specificity for spot magnification were 85%-100% and 50%-57%, respectively.…”

Section: Discussionmentioning

confidence: 99%

Reoperation rate of ductal carcinoma in situ: impact of tomosynthesis (3D) and spot magnification

2022

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Background Surgical planning depends on precise preoperative assessment of the radiological extent of ductal carcinoma in situ (DCIS). Despite different modalities used, reoperation rates for DCIS due to involved margins are high. Purpose To evaluate the impact of additional imaging views (spot magnification, tomosynthesis) on surgical reoperation rate of DCIS. Material and Methods The retrospective single institute study includes 157 patients with biopsy-proven pure DCIS seen on mammogram as microcalcifications and treated with breast-conserving surgery. Patients have been divided into three groups according to additional imaging performed: spot magnification, tomosynthesis, and none. All breast images (mammograms, spot magnification, tomosynthesis) were reviewed and the maximum extent of pathological microcalcifications was recorded. Radiological size was compared to final histopathological size. Reoperation rate due to inadequate margins was recorded. Results Reoperation rates (25%) due to inadequate margins were as follows: spot (18%), tomosynthesis (27%), none (31%); P = 0.488. Spot magnification, tomosynthesis, and digital zoom of full-field digital mammography predicted similarly the final histopathological size. Reoperation group had a significantly greater preoperative radiological median size (26 mm vs. 20 mm; P = 0.014) as well as median size of disease on final histopathological report (29 mm vs. 14 mm; P < 0.001). Discrepancy between radiological and final histopathological size became greater with increasing DCIS extent. Conclusion The main factors for reoperations are DCIS size and discordance between radiological and histopathological sizes. The use of additional imaging views (spot magnification, tomosynthesis) did not reduce reoperation rate.

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“…Mammography was obtained in CC and MLO views, and in some special patients, a medio-lateral view. Digital zoom utilising a full-field digital mammography system was used as the performance of digital zoom is comparable to magnification for detecting microcalcifications [ 11 ]. Microcalcifications were classified according to the Breast Imaging Reporting and Data System (BI-RADS, 5th edition) on the mammography by one breast radiologist and one breast surgeon, each with > 5 years’ worth of experience of reading mammograms, and all decisions were unanimous.…”

Section: Methodsmentioning

confidence: 99%

Mammographically detected breast clustered microcalcifications localized by chest thin-section computed tomography

Liu,

Bao,

Sui

et al. 2024

World J Surg Onc

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Background To explore the capability and clinical significance of chest thin-section computed tomography (CT) for localization of mammographically detected clustered microcalcifications. Methods A total of 69 patients with 71 mammographically detected clustered microcalcifications received surgical biopsy under the guidance of mammography (MG), CT was used to localize calcifications combined with MG if calcifications can be seen on CT. Intraoperative mammography of the specimens were performed in all cases for identification of the resected microcalcifications. The clinical, imaging and pathological information of these patients were analyzed. Results A total of 42 (59.15%) cases of calcifications were localized by CT + MG, 29 (40.85%) cases were guided only by the mammography. All suspicious calcifications on the mammography were successfully removed. Pathological results showed 42 cases were cancer, 23 cases were benign, and 6 cases were atypical hyperplasia. The mean age in the CT + MG group was older than that of the MG group (54.12 vs. 49.27 years; P = 0.014). The maximum diameter of clusters of microcalcifications on mammography in the CT + MG group was larger than that of the MG group [(cranio-caudal view, 1.52 vs. 0.61 mm, P = 0.000; mediolateral oblique (MLO) view, 1.53 vs. 0.62 mm, P = 0.000)]. The gray value ratio (calcified area / paraglandular; MLO, P = 0.004) and the gray value difference (calcified area - paraglandular; MLO, P = 0.005) in the CT + MG group was higher than that of the MG group. Multivariate analysis showed that the max diameter of clusters of microcalcifications (MLO view) was a significant predictive factor of localization by CT in total patients (P = 0.001). Conclusions About half of the mammographically detected clustered microcalcifications could be localized by thin-section CT. Maximum diameter of clusters of microcalcifications (MLO view) was a predictor of visibility of calcifications by CT. Chest thin-section CT may be useful for localization of calcifications in some patients, especially for calcifications that are only visible in one view on the mammography.

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Digital zoom of the full-field digital mammogram versus magnification mammography: a systematic review

Cited by 5 publications

References 38 publications

Application of Digital Image Processing Technology in Textile and Garment Field

Application of Digital Image Processing Technology in Textile and Garment Field

Reoperation rate of ductal carcinoma in situ: impact of tomosynthesis (3D) and spot magnification

Mammographically detected breast clustered microcalcifications localized by chest thin-section computed tomography

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