TY - JOUR
T1 - MRI volumetrics and image texture analysis in assessing systemic treatment response in extra-abdominal desmoid fibromatosis
AU - Subhawong, Ty K.
AU - Feister, Katharina
AU - Sweet, Kevin
AU - Alperin, Noam
AU - Kwon, Deukwoo
AU - Rosenberg, Andrew
AU - Trent, Jonathan
AU - Wilky, Breelyn A.
N1 - Publisher Copyright:
© RSNA, 2021.
PY - 2021/7
Y1 - 2021/7
N2 - Purpose: To determine whether MRI volumetric and image texture analysis correlates with treatment-induced biologic changes in des-moid fibromatosis (DF) earlier than conventional response criteria. Materials and Methods: This retrospective study included 27 patients with histologically proven extra-abdominal DF who were managed with active surveillance or systemic therapy (from 2004 to 2016). MRI volumetric and image texture parameters were derived from manual tumor segmentations, and tumor signal intensity was normalized to muscle. Results were compared with objective response rates based on Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1, World Health Organization (WHO) lesion re-sponse, volumetrics, and MRI-modified Choi criteria. Correlation coefficients (r) between image texture features and maximum tumor diameters were obtained by using a meta-analysis approach. Results: The 27 included patients (mean age, 39 years; 74% women) were followed for an average of 4 years, comprising 207 distinct time-point assessments. The mean baseline tumor maximum diameter was 7.9 cm (range, 3.4–15.2 cm). Partial response (PR) rates as best response were 37%, 44%, 70%, and 81% by RECIST, WHO, volumetrics, and MRI-modified Choi criteria, respectively. Among the 10 tumors showing RECIST PR, a preceding MRI-modified Choi PR was observed in 70% (seven of 10), on average 1.3 years earlier. Multiple image texture parameters showed associations with objective measurements of tumor diameter including mean tumor-to-muscle signal ratio (r = 0.51; P = .004), median tumor-to-muscle signal ratio (r = 0.52; P = .003), energy (r = 0.48; P, .001), run entropy (r = 0.32, P = .04), and gray-level nonuniformity (r = 0.54; P = .001). Conclusion: Volumetric signal and image texture assessment allows more comprehensive analysis of DF biologic change and may permit early prediction of DF behavior and therapeutic response.
AB - Purpose: To determine whether MRI volumetric and image texture analysis correlates with treatment-induced biologic changes in des-moid fibromatosis (DF) earlier than conventional response criteria. Materials and Methods: This retrospective study included 27 patients with histologically proven extra-abdominal DF who were managed with active surveillance or systemic therapy (from 2004 to 2016). MRI volumetric and image texture parameters were derived from manual tumor segmentations, and tumor signal intensity was normalized to muscle. Results were compared with objective response rates based on Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1, World Health Organization (WHO) lesion re-sponse, volumetrics, and MRI-modified Choi criteria. Correlation coefficients (r) between image texture features and maximum tumor diameters were obtained by using a meta-analysis approach. Results: The 27 included patients (mean age, 39 years; 74% women) were followed for an average of 4 years, comprising 207 distinct time-point assessments. The mean baseline tumor maximum diameter was 7.9 cm (range, 3.4–15.2 cm). Partial response (PR) rates as best response were 37%, 44%, 70%, and 81% by RECIST, WHO, volumetrics, and MRI-modified Choi criteria, respectively. Among the 10 tumors showing RECIST PR, a preceding MRI-modified Choi PR was observed in 70% (seven of 10), on average 1.3 years earlier. Multiple image texture parameters showed associations with objective measurements of tumor diameter including mean tumor-to-muscle signal ratio (r = 0.51; P = .004), median tumor-to-muscle signal ratio (r = 0.52; P = .003), energy (r = 0.48; P, .001), run entropy (r = 0.32, P = .04), and gray-level nonuniformity (r = 0.54; P = .001). Conclusion: Volumetric signal and image texture assessment allows more comprehensive analysis of DF biologic change and may permit early prediction of DF behavior and therapeutic response.
KW - MR imaging
KW - Neoplasms-primary
KW - Soft tissues/skin
UR - https://www.scopus.com/pages/publications/85121490047
U2 - 10.1148/rycan.2021210016
DO - 10.1148/rycan.2021210016
M3 - Article
C2 - 34213370
AN - SCOPUS:85121490047
SN - 2638-616X
VL - 3
JO - Radiology: Imaging Cancer
JF - Radiology: Imaging Cancer
IS - 4
M1 - e210016
ER -