Academic Journal
Comparison of four attenuation-compensation methods for backscatter coefficient estimation and characterization of focal liver lesions.
| Τίτλος: | Comparison of four attenuation-compensation methods for backscatter coefficient estimation and characterization of focal liver lesions. |
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| Συγγραφείς: | Héroux A; Laboratory of Biorheology and Medical Ultrasonics, University of Montreal Hospital Research Center, Montréal, Québec, Canada.; Institute of Biomedical Engineering, University of Montreal, Montréal, Québec, Canada., Destrempes F; Laboratory of Biorheology and Medical Ultrasonics, University of Montreal Hospital Research Center, Montréal, Québec, Canada., Rafati I; Laboratory of Biorheology and Medical Ultrasonics, University of Montreal Hospital Research Center, Montréal, Québec, Canada., Maxime B; Clinical Laboratory of Image Processing, University of Montreal Hospital Research Center, Montréal, Québec, Canada.; Department of Radiology, Radiation Oncology and Nuclear Medicine, University of Montreal, Montréal, Québec, Canada.; Department of Radiology, University of Montreal Hospital, Montréal, Québec, Canada., Karam E; Clinical Laboratory of Image Processing, University of Montreal Hospital Research Center, Montréal, Québec, Canada.; Department of Radiology, Radiation Oncology and Nuclear Medicine, University of Montreal, Montréal, Québec, Canada.; Department of Radiology, University of Montreal Hospital, Montréal, Québec, Canada., Fohlen A; Clinical Laboratory of Image Processing, University of Montreal Hospital Research Center, Montréal, Québec, Canada.; Department of Radiology, Radiation Oncology and Nuclear Medicine, University of Montreal, Montréal, Québec, Canada.; Department of Radiology, University of Montreal Hospital, Montréal, Québec, Canada., Nguyen BN; Department of Pathology, University of Montreal Hospital, Montréal, Québec, Canada., Castel H; Departments of Hepatology and Liver Transplantation, University of Montreal Hospital, Montréal, Québec, Canada., Tang A; Clinical Laboratory of Image Processing, University of Montreal Hospital Research Center, Montréal, Québec, Canada.; Department of Radiology, Radiation Oncology and Nuclear Medicine, University of Montreal, Montréal, Québec, Canada.; Department of Radiology, University of Montreal Hospital, Montréal, Québec, Canada., Cloutier G; Laboratory of Biorheology and Medical Ultrasonics, University of Montreal Hospital Research Center, Montréal, Québec, Canada.; Institute of Biomedical Engineering, University of Montreal, Montréal, Québec, Canada.; Department of Radiology, Radiation Oncology and Nuclear Medicine, University of Montreal, Montréal, Québec, Canada. |
| Πηγή: | Physics in medicine and biology [Phys Med Biol] 2026 Jul 02; Vol. 71 (13). Date of Electronic Publication: 2026 Jul 02. |
| Τύπος έκδοσης: | Journal Article; Comparative Study |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: IOP Publishing Country of Publication: England NLM ID: 0401220 Publication Model: Electronic Cited Medium: Internet ISSN: 1361-6560 (Electronic) Linking ISSN: 00319155 NLM ISO Abbreviation: Phys Med Biol Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: Bristol : IOP Publishing |
| Ιατρικοί όροι (MeSH): | Liver Neoplasms*/diagnostic imaging , Liver Neoplasms*/pathology , Image Processing, Computer-Assisted*/methods , Scattering, Radiation*, Humans ; Ultrasonography ; Signal-To-Noise Ratio ; Phantoms, Imaging |
| Περίληψη: | Objective.To compare four attenuation-compensation methods for backscatter coefficient (BSC) estimation, assessment of contrast, and classification of focal liver lesions (FLL).Approach. Ninety-seven patients with 100 FLL were scanned to collect radiofrequency ultrasound images. BSC methods relied on a reference phantom for system and operator-settings independent estimations. Method #1 employeda prioritissue layer segmentation and documented attenuation coefficients (AC) of each layer. Method #2 used a fixed total AC (0.85 dB/cm/MHz). Method #3 used local AC compensation. Method #4 jointly estimated total AC and BSC with a power law frequency model (bfη). BSC@3 MHz,b,η, total AC slope, and total AC were computed within segmented lesions. Lesion contrast was assessed with the contrast-to-noise ratio (CNR) and classification performances were evaluated with the area under the receiver operating characteristic curve (AUC). The composite clinical reference standard was a combination of MRI and histopathology.Main results.The study included 30 primary and 26 secondary cancers, and 44 benign nodules. Parameterbprovided the highest CNRs among BSC parameters (p< 0.0001) and gave higher CNRs than B-mode images (p< 0.0001). Method #3 was unsuitable with out-of-range values. Methods #1, #2, and #4 showed no significant differences forb,η, total AC slope, and total AC, whereas BSC@3 MHz showed overestimations with Method #4 compared with Methods #1 and #2 (p< 0.001 andp< 0.0001, respectively). For differentiating benign and malignant lesions,ηprovided the highest AUC of 0.73 (95% confidence interval (CI): 0.62-0.82). For differentiating primary and secondary cancers, BSC@3 MHz provided the highest AUC of 0.71 (95% CI: 0.55-0.83). Classification AUCs did not differ between Methods #1, #2 and #4.Significance. BSC imaging improved lesion contrast compared to B-mode and could classify FLL. Method #4 emerged as the most practical as it does not require anya prioriAC or segmentation. (Creative Commons Attribution license.) |
| Contributed Indexing: | Keywords: attenuation compensation; backscatter coefficient; focal liver lesion; hepatocellular carcinoma; quantitative ultrasound; ultrasound imaging |
| Entry Date(s): | Date Created: 20260612 Date Completed: 20260702 Latest Revision: 20260702 |
| Update Code: | 20260702 |
| DOI: | 10.1088/1361-6560/ae7cd1 |
| PMID: | 42285137 |
| Βάση Δεδομένων: | MEDLINE |
| ISSN: | 1361-6560 |
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| DOI: | 10.1088/1361-6560/ae7cd1 |