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Congress: ECR24
Poster Number: C-10317
Type: EPOS Radiologist (scientific)
Authorblock: L. J. Jensen, D. Kim, T. Elgeti, I. G. Steffen, L-A. Schaafs, B. Hamm, S. Nagel; Berlin/DE
Disclosures:
Dr.med. Laura Jacqueline Jensen: Nothing to disclose
Dr.med. Damon Kim: Nothing to disclose
Prof.Dr. Thomas Elgeti: Nothing to disclose
Mr. Ingo G. Steffen: Nothing to disclose
PD Dr. Lars-Arne Schaafs: Nothing to disclose
Prof.Dr. Bernd Hamm: Grant Recipient: Bernd Hamm receives grants for the department of Radiology outside the submitted work.
PD Dr. Sebastian Nagel: Nothing to disclose
Keywords: Lung, Oncology, Thorax, MR, MR-Diffusion/Perfusion, Experimental investigations, Cancer, Inflammation
Purpose Free from the potentially harmful effects of radiation, magnetic resonance imaging (MRI) has emerged as a suitable modality for lung imaging [1,2]. Though still underused, MRI offers advantages for the diagnosis of various pulmonary parenchyma diseases by combining information on soft tissue contrast and functional properties [2,3].Another approach to quantitatively assess the intrinsic properties of biological tissues is what is known as radiomics [4,5]. For the last 15 years, texture and high-dimensional image data have been mined to identify imaging...
Read more Methods and materials For this single-center and IRB-approved prospective study, participants were identified following the results of a clinically indicated chest CT in clinical care and enrolled randomly. Participants were examined by lung MRI after a median time interval of 2-3 days following CT. The inclusion criteria were an unclear pulmonary lesion (defined as a localized parenchymal abnormality, atypical for metastatic disease) in the CT scan. Exclusion criteria were (1) marked breathing artifacts in lung MRI, (2) not safely delineable lesion on the...
Read more Results Derived from the ADC maps, the MWU-test revealed 58 features that differed significantly between inflammatory and malignant pulmonary lesions (p < 0.05). Diagnostic performance ranged from 0.69 (glcm maximum probability) to 0.94 (first-order root mean squared) in the ROC analysis. Overall, AUCs of the decisive features were outstanding for 5 features (first-order root mean squared (0.94), first-order mean (0.93), first-order 90th percentile (0.93), first-order median (0.93), first-order 10th percentile (0.92)), excellent for 27 features, acceptable for 25 features, and less...
Read more Conclusion In conclusion, 3T MRI allows noninvasive differentiation of inflammatory and malignant pulmonary lesions based on radiomic feature quantification with outstanding (ADC) and excellent (T2w) diagnostic performance. As a promising perspective, features could be retrieved from both ADC and T2w maps for a quick decision regarding further management and might also be helpful if a biopsy of the lung lesion is unsuccessful or refused (e.g., to start empirical antibiotic/antifungal treatment of inflammatory lesions).
Read more References 1            Liszewski MC, Ciet P, Winant AJ, Lee EY (2023) Magnetic Resonance Imaging of Pediatric Lungs and Airways: New Paradigm for Practical Daily Clinical Use. J Thorac Imaging. 10.1097/RTI.00000000000007072            Eibel R, Herzog P, Dietrich O et al (2006) Pulmonary abnormalities in immunocompromised patients: comparative detection with parallel acquisition MR imaging and thin-section helical CT. Radiology 241:880-8913            Ohno Y, Koyama H, Yoshikawa T et al (2016) Pulmonary high-resolution ultrashort TE MR imaging: Comparison with thin-section standard- and low-dose computed tomography for...
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