volume 41 issue 1

Differential diagnosis of infectious diseases, drug-induced lung injury, and pulmonary infiltration due to underlying malignancy in patients with hematological malignancy using HRCT

Nobuyuki Tanaka 1, 2
Yoshie Kunihiro 1
Reo Kawano 3, 4
Toshiaki Yujiri 5
Kazuhiro UEDA 6, 7
Toshikazu Gondo 8, 9
Taiga Kobayashi 1
TSUNEO MATSUMOTO 10
Publication typeJournal Article
Publication date2022-09-09
scimago Q2
wos Q1
SJR0.757
CiteScore5.5
Impact factor4.1
ISSN18671071, 1867108X
Radiology, Nuclear Medicine and imaging
Abstract
To differentiate among infectious diseases, drug-induced lung injury (DILI) and pulmonary infiltration due to underlying malignancy (PIUM) based on high-resolution computed tomographic (HRCT) findings from patients with hematological malignancies who underwent chemotherapy or hematopoietic stem cell transplantation. A total of 221 immunocompromised patients with hematological malignancies who had proven chest complications (141 patients with infectious diseases, 24 with DILI and 56 with PIUM) were included. Two chest radiologists evaluated the HRCT findings, including ground-glass opacity, consolidation, nodules, and thickening of bronchovascular bundles (BVBs) and interlobular septa (ILS). After comparing these CT findings among the three groups using the χ2test, multiple logistic regression analyses (infectious vs noninfectious diseases, DILI vs non-DILI, and PIUM vs non-PIUM) were performed to detect useful indicators for differentiation. Significant differences were detected in many HRCT findings by the χ2 test. The results from the multiple logistic regression analyses identified several indicators: nodules without a perilymphatic distribution [p = 0.012, odds ratio (95% confidence interval): 4.464 (1.355–11.904)], nodules with a tree-in-bud pattern [p = 0.011, 8.364 (1.637–42.741)], and the absence of ILS thickening[p = 0.003, 3.621 (1.565–8.381)] for infectious diseases, the presence of ILS thickening [p = 0.001, 7.166 (2.343–21.915)] for DILI, and nodules with a perilymphatic distribution [p = 0.011, 4.256 (1.397–12.961)] and lymph node enlargement (p = 0.008, 3.420 (1.385–8.441)] for PIUM. ILS thickening, nodules with a perilymphatic distribution, tree-in-bud pattern, and lymph node enlargement could be useful indicators for differentiating among infectious diseases, DILI, and PIUM in patients with hematological malignancies.
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Tanaka N. et al. Differential diagnosis of infectious diseases, drug-induced lung injury, and pulmonary infiltration due to underlying malignancy in patients with hematological malignancy using HRCT // Japanese Journal of Radiology. 2022. Vol. 41. No. 1.
GOST all authors (up to 50) Copy
Tanaka N., Kunihiro Y., Kawano R., Yujiri T., UEDA K., Gondo T., Kobayashi T., MATSUMOTO T. Differential diagnosis of infectious diseases, drug-induced lung injury, and pulmonary infiltration due to underlying malignancy in patients with hematological malignancy using HRCT // Japanese Journal of Radiology. 2022. Vol. 41. No. 1.
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RIS Copy
TY - JOUR
DO - 10.1007/s11604-022-01328-4
UR - https://doi.org/10.1007/s11604-022-01328-4
TI - Differential diagnosis of infectious diseases, drug-induced lung injury, and pulmonary infiltration due to underlying malignancy in patients with hematological malignancy using HRCT
T2 - Japanese Journal of Radiology
AU - Tanaka, Nobuyuki
AU - Kunihiro, Yoshie
AU - Kawano, Reo
AU - Yujiri, Toshiaki
AU - UEDA, Kazuhiro
AU - Gondo, Toshikazu
AU - Kobayashi, Taiga
AU - MATSUMOTO, TSUNEO
PY - 2022
DA - 2022/09/09
PB - Springer Nature
IS - 1
VL - 41
PMID - 36083413
SN - 1867-1071
SN - 1867-108X
ER -
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Cite this
BibTex (up to 50 authors) Copy
@article{2022_Tanaka,
author = {Nobuyuki Tanaka and Yoshie Kunihiro and Reo Kawano and Toshiaki Yujiri and Kazuhiro UEDA and Toshikazu Gondo and Taiga Kobayashi and TSUNEO MATSUMOTO},
title = {Differential diagnosis of infectious diseases, drug-induced lung injury, and pulmonary infiltration due to underlying malignancy in patients with hematological malignancy using HRCT},
journal = {Japanese Journal of Radiology},
year = {2022},
volume = {41},
publisher = {Springer Nature},
month = {sep},
url = {https://doi.org/10.1007/s11604-022-01328-4},
number = {1},
doi = {10.1007/s11604-022-01328-4}
}