60th Annual Congress of the Indian Radiological & Imaging Association (IRIA)

Jan 3rd, 2007Jan 6th, 2007
Mumbai, --
IN
https://www.iria.in
The annual meeting of the Indian Radiological & Imaging Association (IRIA), organized by the IRIA Maharashtra state branch.
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A machine-learning (ML) model based on cardiac MRI and clinical parameters performed well in a study of STEMI patients.
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The findings could translate to better care for patients who require repeated contrast-enhanced imaging.
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The findings highlight the need for systematic dose tracking and rigorous justification of imaging.
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Study questions routine use of radiotherapy after bone surgery
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Findings suggest a possible hazard associated with postoperative radiotherapy.
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Images of a 39-year-old who underwent screening mammography. Right craniocaudal (left) and mediolateral oblique (middle) views from preoperative mammography show suspicious grouped fine pleomorphic calcifications (arrows). After biopsy showed ductal carcinoma of situ (DCIS), patient underwent breast-conserving surgery, yielding final diagnosis of ductal carcinoma in situ (intermediate grade, hormone receptor positive). (Right) Screenshot of an output of a commercial AI tool applied to preoperative mammography. AI detected right breast lesion with score of 95% on both views (concentric colored circles). Present study’s reviewing radiologist deemed AI marking to correspond with site of DCIS.
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Axial contrast-enhanced CT scan in a 28-year-old premenopausal woman shows an incidentally detected solid-appearing left ovarian lesion (solid arrow) anterior to the uterus (U), associated with trace ascites in the right adnexa and cul de sac (dashed arrows). At pathologic analysis, this was shown to be ovarian dysgerminoma. Two readers misdiagnosed this lesion, one as a leiomyoma and one as an ovarian fibroma.
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