TY - JOUR
T1 - Primary gastro-intestinal lymphoma and gastro-intestinal adenocarcinoma
T2 - An initial study of ct texture analysis as quantitative biomarkers for differentiation
AU - Ding, Lin
AU - Wu, Sisi
AU - Shen, Yaqi
AU - Hu, Xuemei
AU - Hu, Daoyu
AU - Kamel, Ihab
AU - Li, Zhen
N1 - Funding Information:
Funding: This study has received funding by the National Natural Science Foundation of China (No. 81771801, 81801695, 81701657, and 81571642).
Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2021/3
Y1 - 2021/3
N2 - Background: To explore the potential role of computed tomography (CT) texture analysis and an imaging biomarker in differentiating primary gastro-intestinal lymphoma (PGIL) from gastrointestinal adenocarcinoma (GIAC). Methods: A total of 131 patients with surgical pathologically PGIL and GIAC were enrolled in this study. Histogram parameters of arterial and venous phases extracted from contrast enhanced modified discrete cosine transform (MDCT) images were compared between PGIL and GIAC by Mann–Whitney U tests. The optimal parameters for differentiating these two groups were obtained through receiver operating characteristic (ROC) curves and the area under the curve (AUC) was calculated. Results: Compared with GIAC, in arterial phase, PGIL had statistically higher 5th, 10th percentiles (p = 0.003 and 0.011) and statistically lower entropy (p = 0.001). In the venous phase, PGIL had statistically lower mean, median, 75th, 90th, 95th percentiles, and entropy (p = 0.036, 0.029, 0.007, 0.001 and 0.001, respectively). For differentiating PGIL from GIAC, V-median + A-5th percentile was an optimal parameter for combined diagnosis (AUC = 0.746, p <0.0001), and the corresponding sensitivity and specificity were 81.7 and 64.8%, respectively. Conclusion: CT texture analysis could be useful for differential diagnosis of PGIL and GIAC.
AB - Background: To explore the potential role of computed tomography (CT) texture analysis and an imaging biomarker in differentiating primary gastro-intestinal lymphoma (PGIL) from gastrointestinal adenocarcinoma (GIAC). Methods: A total of 131 patients with surgical pathologically PGIL and GIAC were enrolled in this study. Histogram parameters of arterial and venous phases extracted from contrast enhanced modified discrete cosine transform (MDCT) images were compared between PGIL and GIAC by Mann–Whitney U tests. The optimal parameters for differentiating these two groups were obtained through receiver operating characteristic (ROC) curves and the area under the curve (AUC) was calculated. Results: Compared with GIAC, in arterial phase, PGIL had statistically higher 5th, 10th percentiles (p = 0.003 and 0.011) and statistically lower entropy (p = 0.001). In the venous phase, PGIL had statistically lower mean, median, 75th, 90th, 95th percentiles, and entropy (p = 0.036, 0.029, 0.007, 0.001 and 0.001, respectively). For differentiating PGIL from GIAC, V-median + A-5th percentile was an optimal parameter for combined diagnosis (AUC = 0.746, p <0.0001), and the corresponding sensitivity and specificity were 81.7 and 64.8%, respectively. Conclusion: CT texture analysis could be useful for differential diagnosis of PGIL and GIAC.
KW - Adenocarcinoma
KW - Diagnosis
KW - Gastrointestinal tract
KW - Lymphoma
KW - Multidetector computed tomography
UR - http://www.scopus.com/inward/record.url?scp=85103599252&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85103599252&partnerID=8YFLogxK
U2 - 10.3390/life11030264
DO - 10.3390/life11030264
M3 - Article
C2 - 33806817
AN - SCOPUS:85103599252
SN - 0024-3019
VL - 11
JO - Life
JF - Life
IS - 3
M1 - 264
ER -