{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T05:28:58Z","timestamp":1787030938511,"version":"build-2736575974"},"reference-count":0,"publisher":"Georg Thieme Verlag KG","issue":"02","license":[{"start":{"date-parts":[[2021,7,30]],"date-time":"2021-07-30T00:00:00Z","timestamp":1627603200000},"content-version":"vor","delay-in-days":1946,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Indian Journal of Radiology and Imaging"],"published-print":{"date-parts":[[2016,4]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Context: Mammography in dense breasts is challenging due to lesion obscuration by tissue overlap. Does tomosynthesis offers a solution? Aims: To study the impact of digital breast tomosynthesis (DBT) in characterizing lesions in breasts of different mammographic densities. Settings and Design: Prospective blinded study comparing mammography in two views with Mammography + Tomosynthesis. Methods and Material: Tomosynthesis was performed in 199 patients who were assigned Breast imaging reporting and data system (BIRADS) categories 0, 3, 4, or 5 on two-dimensional (2D) mammogram. Mammograms were first categorized into one of 4 mammographic breast densities in accordance with the American College of Radiology (ACR). Three radiologists independently analyzed these images and assigned a BIRADS category first based on 2D mammogram alone, and then assigned a fresh BIRADS category after taking mammography and tomosynthesis into consideration. A composite gold-standard was used in the study (histopathology, ultrasound, follow-up mammogram, magnetic resonance imaging). Each lesion was categorized into 3 groups\u2014superior categorization with DBT, no change in BIRADS, or inferior BIRADS category based on comparison with the gold-standard. The percentage of lesions in each group was calculated for different breast densities. Results: There were 260 lesions (ages 28\u201385). Overall, superior categorization was seen in 21.2% of our readings on addition of DBT to mammography. DBT was most useful in ACR Densities 3 and 4 breasts where it led to more appropriate categorization in 27 and 42% of lesions, respectively. DBT also increased diagnostic confidence in 54.5 and 63.6% of lesions in ACR Densities 3 and 4, respectively. Conclusions: In a diagnostic setting, the utility of tomosynthesis increases with increasing breast density. This helps in identifying the sub category of patients where DBT can actually change management.<\/jats:p>","DOI":"10.4103\/0971-3026.184416","type":"journal-article","created":{"date-parts":[[2016,6,22]],"date-time":"2016-06-22T11:58:17Z","timestamp":1466596697000},"page":"210-215","source":"Crossref","is-referenced-by-count":12,"title":["Characterization of lesions in dense breasts: Does tomosynthesis help?"],"prefix":"10.1055","volume":"26","author":[{"given":"Krithika","family":"Rangarajan","sequence":"additional","affiliation":[{"name":"Department of Radiodiagnosis, All India Institute of Medical Sciences, New Delhi, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Smriti","family":"Hari","sequence":"additional","affiliation":[{"name":"Department of Radiodiagnosis, All India Institute of Medical Sciences, New Delhi, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sanjay","family":"Thulkar","sequence":"additional","affiliation":[{"name":"Department of Radiodiagnosis, All India Institute of Medical Sciences, New Delhi, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sanjay","family":"Sharma","sequence":"additional","affiliation":[{"name":"Department of Radiodiagnosis, All India Institute of Medical Sciences, New Delhi, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anurag","family":"Srivastava","sequence":"additional","affiliation":[{"name":"Department of Surgery, All India Institute of Medical Sciences, New Delhi, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rajinder","family":"Parshad","sequence":"additional","affiliation":[{"name":"Department of Surgery, All India Institute of Medical Sciences, New Delhi, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"194","published-online":{"date-parts":[[2021,7,30]]},"container-title":["Indian Journal of Radiology and Imaging"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.thieme-connect.de\/products\/ejournals\/pdf\/10.4103\/0971-3026.184416.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,8,2]],"date-time":"2021-08-02T01:11:48Z","timestamp":1627866708000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.thieme-connect.de\/DOI\/DOI?10.4103\/0971-3026.184416"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,4]]},"references-count":0,"journal-issue":{"issue":"02","published-online":{"date-parts":[[2021,7,30]]},"published-print":{"date-parts":[[2016,4]]}},"URL":"https:\/\/doi.org\/10.4103\/0971-3026.184416","archive":["Portico","CLOCKSS"],"relation":{},"ISSN":["0971-3026","1998-3808"],"issn-type":[{"value":"0971-3026","type":"print"},{"value":"1998-3808","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,4]]}}}