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Agreement of MRI Liver Observations Size Measurements and Impact on LIRADS v2017 categories (Determinant of size variability and Impact on LI-RADS v2017 category code)
Heejin Kwon1, Yong Eun Chung2, Min-Jeong Kim3, Sang Won Kim4, Guilherme M Cunha5, Tanya Wolfson5, and Claude B Sirlin5

1Dong-A University Hospital, Busan, Korea, Republic of, 2Yonsei University College of Medicine, Severance Hospital, Seoul, Korea, Republic of, 3Hallym University Sacred Heart Hospital, Anyang, Korea, Republic of, 4Kyung Hee University Hospital at Gangdong, Seoul, Korea, Republic of, 5Liver Imaging Group, UCSD Medical center, San Diego, CA, United States

Synopsis

While intra- and inter-observer agreement rates for size measurement is“excellent” for radiologists, variability across imaging phases could potentially impact LI-RADS categorization. Measurement variations were mostly seen across different postcontrast dynamic phases, as well as, related to specific imaging features (eg, presence of APHE and/or a capsule). In our opinion, the standardization of the most adequate imagingphase to perform size measurements of focal liver observations may increase thereproducibility of LI-RADS categories.

Purpose: To evaluate the agreement of size measurements of focal liver observations on MRI and its impact on Liver Imaging Reporting And Data System (LI-RADS) v2017 diagnostic categories.

Methods: Between September 2017 and May 2018, 52 patients with 95 focal liver observations (LI-RADS 3, 4, 5, M) underwent multiarterial-phase MRI at 3T. Images were acquired at nine time points (6 arterial phases, 2, 3, and 10 minutes delay) after injecting 0.1 mmol/kg gadobutrol. Three independent radiologists manually measured the longest diameter of each observation at each imaging phase. Subsequently and in consensus, observations were scored for the presence of LI-RADS major features (arterial phase hyperenhancement (APHE), washout (WO) and capsule (C). Consensus scores were used along with individual diameter measurements to assign a final LI-RADS category. Size measurements in each phase were compared using Spearman’s correlation, intraclass-correlation coefficients and mixed-effect linear regression. Observations that changed LI-RADS categories were grouped in stable and unstable subgroups.

Results: Observations changed LI-RADS categories in relation to size variability, in 5 to 20 (9.8-21.1%) out of 95 depending on the imaging phase in which the measurement was performed. Diameter measurements variability were related to: i) imaging delay (acquisition time post-contrast injection) (p<0.0001), ii) presence of APHE (p=0.0074), iii) presence of C (p=0.0152), and iv) reader (p<0.0001). Overall, intra-reader and inter-reader agreements of size measurements were excellent (CI: 0.935 to CI: 0.990 and CI: 0.938 to CI: 0.970).

Conclusion: Focal liver observations size measurements may show variability across imaging phases that could potentially impact LI-RADS categorization. Standardizing the most adequate time point to measure size may increase reproducibility of LI-RADS categories.

Discussion: While intra- and inter-observer agreement rates for size measurement is “excellent” for radiologists, variability across imaging phases could potentially impact LI-RADS categorization. Measurement variations were mostly seen across different post contrast dynamic phases, as well as, related to specific imaging features (eg, presence of APHE and/or a capsule).


Acknowledgements

No acknowledgement found.

References

  1. Forner A, Llovet JM, Bruix J. Hepatocellular carcinoma. Lancet 2012; 379(9822):1245-1255 doi: 10.1016/S0140-6736(11)61347-0. Epub 2012 Feb 20

  2. Tendon P, Garcia-Taso G. Prognostic indicators in hepatocellular carcinoma: a systemic review of 72 studies. Liver Int 2009; 29(4): 502-510 doi: 10.1111/j.1478-3231.2008.01957. x. Epub 2008 Dec 24.

  3. Huang WJ, Jeng YM, Lai HS, Sheu FY, Lai PL, Yuan RH. Tumor size is a major determinant of prognosis of resected stage I hepatocellular carcinoma. Langenbecks Archives of Surgery 2015; 400(6): 725-735 doi: 10.1007/s00423-015-1329-4. Epub 2015 Aug 7


Figures

ICCs for Interobserver and Intraobserver Variability according MR Phases, Accounting for Correlation among Multiple Observations



Relationship between mean size and the phase (post-injection time)



Relationship between mean size and the phase (post-injection time)



Impact of imaging phase on observation size to Liver Imaging Reporting And Data System v2017 category code



Proc. Intl. Soc. Mag. Reson. Med. 27 (2019)
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