The Added Value of the CT Colonography Reporting and Data System

CT Colonography Reporting and Data System (C-RADS): Version 2023 Update

The CT Colonography Reporting and Data System (C-RADS) has withstood the test of time and proven to be a robust classification scheme for CT colonography (CTC) findings. C-RADS version 2023 represents an update on the scheme used for colorectal and extracolonic findings at CTC. The update provides useful insights gained since the implementation of the original system in 2005. Increased experience has demonstrated confusion on how to classify the mass-like appearance of the colon consisting of soft tissue attenuation that occurs in segments with acute or chronic diverticulitis. Therefore, the update introduces a new subcategory, C2b, specifically for mass-like diverticular strictures, which are likely benign. Additionally, the update simplifies extracolonic classification by combining E1 and E2 categories into an updated extracolonic category of E1/E2 since, irrespective of whether a finding is considered a normal variant (category E1) or an otherwise clinically unimportant finding (category E2), no additional follow-up is required. This simplifies and streamlines the classification into one category, which results in the same management recommendation.

CT colonography with spectral filtration and advanced modeled iterative reconstruction in the third-generation dual-source CT: image quality, radiation dose and performance in clinical utility

RATIONALE AND OBJECTIVES

To evaluate image quality, radiation dose and its diagnostic performance in clinical utility of CT colonography (CTC) applying spectral filtration and advanced modeled iterative reconstruction (ADMIRE) techniques in third-generation dual-source CT.

MATERIALS AND METHODS

A total of 125 patients for screening or diagnostic purposes underwent CTC at 120kVp standard dose (120kVp-STD) with filtered-back projection reconstruction (FBP) in supine position, then at a tin-filtered 150 kVp low dose (Sn150kVp-LD) and a tin-filtered 100 kVp ultra-low dose (Sn100kVp-ULD) with ADMIRE reconstruction in prone position. Radiation metrics were recorded. Objective and subjective image qualities were compared, and the diagnostic performance was assessed for both colonic and extracolonic findings using CTC reporting and data system (C-RADS).

RESULTS

The effective dose was significantly lower for Sn150kVp-LD and Sn100kVp-ULD than 120kVp-STD protocol, resulting in 22.5% and 87.5% reductions (1.55±0.30 and 0.25±0.07 mSv vs. 2.00±0.52 mSv; both p<0.01), respectively. Image noise and signal-to-noise ratio were improved significantly for Sn150kVp-LD with ADMIRE compared with 120kVp-STD, both of which had similar excellent 2D and 3D subjective image quality with equivalent diagnostic performance. Sn100kVp-ULD with ADMIRE had decreased subjective image quality and significant different C-RADS extracolonic-score (E-score) compared with 120kVp-STD, however, C-RADS colonic-score (C-score) of that showed no significantly difference.

CONCLUSION

Sn150kVp and Sn100kVp with ADMIRE reconstruction provide an alternative low dose CTC strategy and could be feasible in clinical screening or diagnostic scenarios.

Structured reporting and quality control in CT colonography

Standardized recommended techniques for performing and reporting CT colonography (CTC) examinations were developed by a consensus of experts. Published reporting guidelines, known as the CT colonography reporting and data system supplemented by recently updated comprehensive recommendations were incorporated into the American College of Radiology (ACR) practice guidelines. The application of continuous quality improvement to the practice of CT was aided by the development of an ACR national data registry (NRDR) for CTC that addressed both process and outcome quality measures. These measures can be used to benchmark an institution's CTC practice as compared to all participants. This article will discuss the best practices for reporting CTC and describe the use of NRDR to foster quality CTC performance.

Structured vs narrative reporting of pelvic MRI for fibroids: clarity and impact on treatment planning

OBJECTIVES

To evaluate clarity and usefulness of MRI reporting of uterine fibroids using a structured disease-specific template vs. narrative reporting for planning of fibroid treatment by gynaecologists and interventional radiologists.

METHODS

This is a HIPAA-compliant, IRB-approved study with waiver of informed consent. A structured reporting template for fibroid MRIs was developed in collaboration between gynaecologists, interventional and diagnostic radiologists. The study population included 29 consecutive women who underwent myomectomy for fibroids and pelvic MRI prior to implementation of structured reporting, and 42 consecutive women with MRI after implementation of structured reporting. Subjective evaluation (on a scale of 1-10, 0 not helpful; 10 extremely helpful) and objective evaluation for the presence of 19 key features were performed.

RESULTS

More key features were absent in the narrative reports 7.3 ± 2.5 (range 3-12) than in structured reports 1.2 ± 1.5 (range 1-7), (p < 0.0001). Compared to narrative reports, gynaecologists and radiologists deemed structured reports both more helpful for surgical planning (p < 0.0001) (gynaecologists: 8.5 ± 1.2 vs. 5.7 ± 2.2; radiologists: 9.6 ± 0.6 vs. 6.0 ± 2.9) and easier to understand (p < 0.0001) (gynaecologists: 8.9 ± 1.1 vs. 5.8 ± 1.9; radiologists: 9.4 ± 1.3 vs. 6.3 ± 1.8).

CONCLUSION

Structured fibroid MRI reports miss fewer key features than narrative reports. Moreover, structured reports were described as more helpful for treatment planning and easier to understand.

KEY POINTS

• Structured reports missed only 1.2 ± 1.5 out of 19 key features, as compared to narrative reports that missed 7.3 ± 2.5 key features for planning of fibroid treatment. • Structured reports were more helpful and easier to understand by clinicians. • Structured template can provide essential information for fibroids treatment planning.