CT Colonography Reporting and Data System (C-RADS)

In 2005, the CT Colonography Reporting and Data System (C-RADS) was established to provide a means of classifying findings of CT colonography (CTC) and of applying the advantages of structured reporting to the setting of colorectal cancer screening.
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Gynecologic Imaging Reporting and Data System (GI-RADS)

Transvaginal ultrasound is the main reference technique in the evaluation of adnexal masses. Based on the Breast Imaging Reporting and Data System (BIRADS) classification Amor et al. suggested adapting this system to gynecologic ultrasound for the evaluation of adnexal masses: Gynecologic Imaging Reporting and Data System (GI-RADS) and based on recognition patterns and criteria recommended by the IOTA group.
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Thyroid Imaging Reporting and Data System (TI-RADS)

Thyroid nodules are a frequent finding on neck sonography. Most nodules are benign; therefore, many nodules are biopsied to identify the small number that are malignant or require surgery for a definitive diagnosis. In 2012, the ACR convened committees to (1) provide recommendations for reporting incidental thyroid nodules, (2) develop a set of standard terms (lexicon) for ultrasound reporting, and (3) propose a TI-RADS on the basis of the lexicon.
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Prostate Imaging Reporting And Data System (PI-RADS)

PI-RADS is designed to improve focal lesion detection, localization, characterization, and risk stratification in patients with suspected cancer and consists of technical recommendation for MRI acquisition and a scoring system for image interpretation. PI-RADS uses a scale of 1–5 to report the overall probability of clinically significant prostate cancer on multiparametric MRI (mpMRI). The use of PI-RADS is limited to treatment naive patients and it should not be used for staging, assessment of treatment outcome, recurrence, or progression during surveillance.
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Liver Imaging Reporting and Data System (LI-RADS)

The Liver Imaging Reporting and Data System (LI-RADS) standardizes the interpretation, reporting, and data collection for imaging examinations in patients at risk for hepatocellular carcinoma (HCC). It assigns category codes reflecting relative probability of HCC to imaging-detected liver observations based on major and ancillary imaging features. LI-RADS also includes imaging features suggesting malignancy other than HCC.
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