Developing and testing a robotic MRI/CT fusion biopsy technique using a purpose-built interventional phantom.


Journal

European radiology experimental
ISSN: 2509-9280
Titre abrégé: Eur Radiol Exp
Pays: England
ID NLM: 101721752

Informations de publication

Date de publication:
22 11 2022
Historique:
received: 28 06 2022
accepted: 28 09 2022
entrez: 21 11 2022
pubmed: 22 11 2022
medline: 24 11 2022
Statut: epublish

Résumé

Magnetic resonance imaging (MRI) can be used to target tumour components in biopsy procedures, while the ability to precisely correlate histology and MRI signal is crucial for imaging biomarker validation. Robotic MRI/computed tomography (CT) fusion biopsy offers the potential for this without in-gantry biopsy, although requires development. Test-retest T1 and T2 relaxation times, attenuation (Hounsfield units, HU), and biopsy core quality were prospectively assessed (January-December 2021) in a range of gelatin, agar, and mixed gelatin/agar solutions of differing concentrations on days 1 and 8 after manufacture. Suitable materials were chosen, and four biopsy phantoms were constructed with twelve spherical 1-3-cm diameter targets visible on MRI, but not on CT. A technical pipeline was developed, and intraoperator and interoperator reliability was tested in four operators performing a total of 96 biopsies. Statistical analysis included T1, T2, and HU repeatability using Bland-Altman analysis, Dice similarity coefficient (DSC), and intraoperator and interoperator reliability. T1, T2, and HU repeatability had 95% limits-of-agreement of 8.3%, 3.4%, and 17.9%, respectively. The phantom was highly reproducible, with DSC of 0.93 versus 0.92 for scanning the same or two different phantoms, respectively. Hit rate was 100% (96/96 targets), and all operators performed robotic biopsies using a single volumetric acquisition. The fastest procedure time was 32 min for all 12 targets. A reproducible biopsy phantom was developed, validated, and used to test robotic MRI/CT-fusion biopsy. The technique was highly accurate, reliable, and achievable in clinically acceptable timescales meaning it is suitable for clinical application.

Sections du résumé

BACKGROUND
Magnetic resonance imaging (MRI) can be used to target tumour components in biopsy procedures, while the ability to precisely correlate histology and MRI signal is crucial for imaging biomarker validation. Robotic MRI/computed tomography (CT) fusion biopsy offers the potential for this without in-gantry biopsy, although requires development.
METHODS
Test-retest T1 and T2 relaxation times, attenuation (Hounsfield units, HU), and biopsy core quality were prospectively assessed (January-December 2021) in a range of gelatin, agar, and mixed gelatin/agar solutions of differing concentrations on days 1 and 8 after manufacture. Suitable materials were chosen, and four biopsy phantoms were constructed with twelve spherical 1-3-cm diameter targets visible on MRI, but not on CT. A technical pipeline was developed, and intraoperator and interoperator reliability was tested in four operators performing a total of 96 biopsies. Statistical analysis included T1, T2, and HU repeatability using Bland-Altman analysis, Dice similarity coefficient (DSC), and intraoperator and interoperator reliability.
RESULTS
T1, T2, and HU repeatability had 95% limits-of-agreement of 8.3%, 3.4%, and 17.9%, respectively. The phantom was highly reproducible, with DSC of 0.93 versus 0.92 for scanning the same or two different phantoms, respectively. Hit rate was 100% (96/96 targets), and all operators performed robotic biopsies using a single volumetric acquisition. The fastest procedure time was 32 min for all 12 targets.
CONCLUSIONS
A reproducible biopsy phantom was developed, validated, and used to test robotic MRI/CT-fusion biopsy. The technique was highly accurate, reliable, and achievable in clinically acceptable timescales meaning it is suitable for clinical application.

Identifiants

pubmed: 36411379
doi: 10.1186/s41747-022-00308-7
pii: 10.1186/s41747-022-00308-7
pmc: PMC9679095
doi:

Substances chimiques

Agar 9002-18-0
Gelatin 9000-70-8

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

55

Informations de copyright

© 2022. The Author(s) under exclusive licence to European Society of Radiology.

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Auteurs

Edward W Johnston (EW)

Royal Marsden Hospital, 203 Fulham Road, London, SW3 6JJ, UK. edwilliamjohnston@gmail.com.
Institute of Cancer Research, 123 Old Brompton Road, London, SW73RP, UK. edwilliamjohnston@gmail.com.

Nicos Fotiadis (N)

Royal Marsden Hospital, 203 Fulham Road, London, SW3 6JJ, UK.
Institute of Cancer Research, 123 Old Brompton Road, London, SW73RP, UK.

Craig Cummings (C)

Institute of Cancer Research, 123 Old Brompton Road, London, SW73RP, UK.

Jodie Basso (J)

Royal Marsden Hospital, 203 Fulham Road, London, SW3 6JJ, UK.

Toby Tyne (T)

Institute of Cancer Research, 123 Old Brompton Road, London, SW73RP, UK.

Joost Lameijer (J)

Royal Marsden Hospital, 203 Fulham Road, London, SW3 6JJ, UK.

Christina Messiou (C)

Royal Marsden Hospital, 203 Fulham Road, London, SW3 6JJ, UK.
Institute of Cancer Research, 123 Old Brompton Road, London, SW73RP, UK.

Dow-Mu Koh (DM)

Royal Marsden Hospital, 203 Fulham Road, London, SW3 6JJ, UK.
Institute of Cancer Research, 123 Old Brompton Road, London, SW73RP, UK.

Jessica M Winfield (JM)

Royal Marsden Hospital, 203 Fulham Road, London, SW3 6JJ, UK.
Institute of Cancer Research, 123 Old Brompton Road, London, SW73RP, UK.

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Classifications MeSH