Radiology Coding, Billing, and Documentation Webcast: Part 3

Sep 22nd, 2014
Webcast
https://shop.medlearn.com/ProductDetails.asp?ProductCode=ARBP314
Ask your hardest questions and share your most troubling examples of radiology coding and documentation problems. Stump our experts with your trickiest, thorniest issues. Listen as your questions are answered live.
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By Amerigo Allegretto
A machine-learning (ML) model based on cardiac MRI and clinical parameters performed well in a study of STEMI patients.
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Targeted interventions to reduce low-value imaging may improve diagnostic accuracy.
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The findings could translate to better care for patients who require repeated contrast-enhanced imaging.
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New benchmark helps monitor cumulative CT radiation dose
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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.
February 13, 2026
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CEUS outperformed color Doppler ultrasound in a study focusing on indeterminate kidney lesions.
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An AI model showed associations with recurrence after DCIS surgery and performed comparably to established clinical risk models.
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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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The modality correctly diagnoses dermoids and simple cysts, but is not as effective at identifying other types of adnexal lesions.
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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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