Literature DB >> 31365281

Validation of Region of Interest Measurements for the Objective Assessment of Post-Contrast Enhancement of Renal Lesions on MRI.

Ishaq Sulaiman Al Salmi1, Joshua Halperin1, Faten Al-Douri1, Vincent Leung1, Michael Patlas2, Abdullah Alabousi1.   

Abstract

OBJECTIVE: The aim of this study was to validate the use of region of interest (ROI) measurements in MRI to objectively assess for enhancement in suspected solid renal masses and to determine a minimum threshold value for true enhancement.
METHODS: Contrast-enhanced renal MRI studies performed between January 2015 and December 2017 for patients with a known renal mass who had subsequent biopsy, or partial/radical nephrectomy were included. Two body imaging fellows independently measured the mean ROI values of renal masses, normal renal parenchyma, the ipsilateral psoas muscle and external air on the pre- and post-contrast sequences. The absolute and percentage changes in the mean ROI values were calculated. The readers were blinded to the pathology results.
RESULTS: 104 patients were included in this study (mean age of 65 years; 58 males and 46 females). 74 patients (71%) had a diagnosis of renal cell carcinoma (RCC). Pathology showed clear-cell RCC in 55%, papillary RCC in 22%, and other RCC subtypes in 23%. There were 30 non-RCC renal lesions (29%), including oncocytoma, renal papillary adenoma, and renal metastasis.The minimum percentage change in ROI values in the pre- versus post-contrast images for all pathology-proven RCCs was 23% (range: 23-437%, mean: 143%); this represents relative enhancement and was referred to as the Signal Intensity Index (SII). The percentage change for normal renal parenchyma ranged from 32-317%. The maximum percentage change in ROI values for pathology proven renal cysts was 13% (range: -5-13%, mean: 3.5%). There was excellent inter observer agreement between the two readers [Intra-class correlation coefficient (r) 0.81].
CONCLUSION: The percentage change in ROI values (SII) can be a helpful tool in the objective assessment of true enhancement of renal masses and can supplement subtraction images. The minimum threshold for enhancement in our study was 23%. ADVANCES IN KNOWLEDGE: Enhancement of a renal lesion can be determined using the objective tool of ROI measurements in the pre- and post-contrast MR images with a percentage change of 20% or above indicating enhancement. This is an additional objective tool, which in conjunction with the subtraction images may improve detection and appropriate diagnosis of renal lesions. It could also be helpful in cases where the subtraction images are degraded by motion artefact.

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Year:  2019        PMID: 31365281      PMCID: PMC6849669          DOI: 10.1259/bjr.20190507

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  8 in total

Review 1.  Incompletely characterized incidental renal masses: emerging data support conservative management.

Authors:  Stuart G Silverman; Gary M Israel; Quoc-Dien Trinh
Journal:  Radiology       Date:  2015-04       Impact factor: 11.105

Review 2.  Imaging features of solid renal masses.

Authors:  Massimo Galia; Domenico Albano; Alberto Bruno; Antonino Agrusa; Giorgio Romano; Giuseppe Di Buono; Francesco Agnello; Giuseppe Salvaggio; Ludovico La Grutta; Massimo Midiri; Roberto Lagalla
Journal:  Br J Radiol       Date:  2017-07-13       Impact factor: 3.039

Review 3.  CT imaging of solid renal masses: pitfalls and solutions.

Authors:  S Krishna; C A Murray; M D McInnes; R Chatelain; M Siddaiah; O Al-Dandan; S Narayanasamy; N Schieda
Journal:  Clin Radiol       Date:  2017-06-04       Impact factor: 2.350

Review 4.  Multiparametric MRI of solid renal masses: pearls and pitfalls.

Authors:  N K Ramamurthy; B Moosavi; M D F McInnes; T A Flood; N Schieda
Journal:  Clin Radiol       Date:  2014-12-01       Impact factor: 2.350

5.  Renal masses: quantitative assessment of enhancement with dynamic MR imaging.

Authors:  Vincent B Ho; Scott F Allen; Maureen N Hood; Peter L Choyke
Journal:  Radiology       Date:  2002-09       Impact factor: 11.105

6.  Can high-attenuation renal cysts be differentiated from renal cell carcinoma at unenhanced CT?

Authors:  Ari I Jonisch; Ami N Rubinowitz; Pradeep G Mutalik; Gary M Israel
Journal:  Radiology       Date:  2007-05       Impact factor: 11.105

7.  Renal masses: quantitative analysis of enhancement with signal intensity measurements versus qualitative analysis of enhancement with image subtraction for diagnosing malignancy at MR imaging.

Authors:  Elizabeth M Hecht; Gary M Israel; Glenn A Krinsky; Winnie Y Hahn; Danny C Kim; Ilana Belitskaya-Levy; Vivian S Lee
Journal:  Radiology       Date:  2004-06-23       Impact factor: 11.105

Review 8.  Imaging findings of common benign renal tumors in the era of small renal masses: differential diagnosis from small renal cell carcinoma: current status and future perspectives.

Authors:  Sungmin Woo; Jeong Yeon Cho
Journal:  Korean J Radiol       Date:  2015-01-09       Impact factor: 3.500

  8 in total

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