Impact of ultra-low dose CT acquisition on semi-automated RECIST tool in the evaluation of malignant focal liver lesions

Diagn Interv Imaging. 2020 Jul-Aug;101(7-8):473-479. doi: 10.1016/j.diii.2020.05.003. Epub 2020 Jun 1.

Abstract

Purpose: To compare the evaluation of malignant focal liver lesions (FLLs) using a semi-automated RECIST tool with a standard and an ultra-low dose (ULD) computed tomography (CT) protocol.

Materials and methods: Thirty-four patients with malignant FLLs underwent two abdominal-pelvic CT examinations one using a standard protocol and one using an ULD protocol. There were 23 men and 11 women with a mean age 64.3±14.4 (SD) years (range: 22-91 years). Dosimetric indicators were recorded, and effective dose was calculated for both examinations. Mean malignant FLL attenuation, image noise and contrast-to-noise-ratio (CNR) were compared. The largest malignant FLL per patient was evaluated using the semi-automated RECIST tool to determine longest axis length, longest orthogonal axis length, volume and World Health Organisation area.

Results: Dosimetric values were significantly reduced by -56% with ULD compared to standard protocol. No differences in mean malignant FLL attenuation values were found between the two protocols. Image noise was significantly increased for all locations (P<0.05) with ULD compared to standard protocol, and CNR was significantly reduced (P<0.05). On the 34 malignant FLLs analyzed, six semi-automated shapes non-concordant with radiologist's visual impression were highlighted with the software, including one FLL (1/34; 3%) with standard CT acquisition only, three FLLs (3/34; 9%) with ULD CT acquisition only and two FLLs (2/34; 6%) with both CT acquisitions. After manual editing, the concordance of the values of the studied criteria between both acquisitions was good and no significant difference was reported.

Conclusion: Semi-automated RECIST tool demonstrates good performances using ULD CT protocol. It could be used in routine clinical practice with a ULD protocol for follow-up studies in patients with known malignant FLL.

Keywords: Artificial intelligence; Computed X-ray tomography; Liver; Low dose CT protocol; Response evaluation criteria in solid tumours (RECIST).

MeSH terms

  • Aged
  • Female
  • Humans
  • Liver Neoplasms* / diagnostic imaging
  • Male
  • Middle Aged
  • Radiation Dosage
  • Response Evaluation Criteria in Solid Tumors
  • Software
  • Tomography, X-Ray Computed*