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Longitudinal registration of T1-weighted breast MRI: A registration algorithm (FLIRE) and clinical application.
Tong, Michelle W; Yu, Hon J; Sjaastad Andreassen, Maren M; Loubrie, Stephane; Rodríguez-Soto, Ana E; Seibert, Tyler M; Rakow-Penner, Rebecca; Dale, Anders M.
Afiliación
  • Tong MW; Department of Bioengineering, University of California San Diego, La Jolla, CA, USA; Department of Radiology, University of California San Diego, La Jolla, CA, USA. Electronic address: mwtong@ucsd.edu.
  • Yu HJ; Department of Radiology, University of California San Diego, La Jolla, CA, USA.
  • Sjaastad Andreassen MM; Section of Oncology, Drammen Hospital, Vestre Viken Hospital Trust, Drammen, Norway.
  • Loubrie S; Department of Radiology, University of California San Diego, La Jolla, CA, USA.
  • Rodríguez-Soto AE; Department of Bioengineering, University of California San Diego, La Jolla, CA, USA; Department of Radiology, University of California San Diego, La Jolla, CA, USA.
  • Seibert TM; Department of Bioengineering, University of California San Diego, La Jolla, CA, USA; Department of Radiology, University of California San Diego, La Jolla, CA, USA; Department of Radiation Medicine, University of California San Diego, La Jolla, CA, USA.
  • Rakow-Penner R; Department of Bioengineering, University of California San Diego, La Jolla, CA, USA; Department of Radiology, University of California San Diego, La Jolla, CA, USA.
  • Dale AM; Department of Radiology, University of California San Diego, La Jolla, CA, USA; Department of Neurosciences, University of California San Diego, La Jolla, CA, USA.
Magn Reson Imaging ; 113: 110222, 2024 Nov.
Article en En | MEDLINE | ID: mdl-39181479
ABSTRACT

PURPOSE:

MRI is commonly used to aid breast cancer diagnosis and treatment evaluation. For patients with breast cancer, neoadjuvant chemotherapy aims to reduce the tumor size and extent of surgery necessary. The current clinical standard to measure breast tumor response on MRI uses the longest tumor diameter. Radiologists also account for other tissue properties including tumor contrast or pharmacokinetics in their assessment. Accurate longitudinal image registration of breast tissue is critical to properly compare response to treatment at different timepoints.

METHODS:

In this study, a deformable Fast Longitudinal Image Registration (FLIRE) algorithm was optimized for breast tissue. FLIRE was then compared to the publicly available software packages with high accuracy (DRAMMS) and fast runtime (Elastix). Patients included in the study received longitudinal T1-weighted MRI without fat saturation at two to six timepoints as part of asymptomatic screening (n = 27) or throughout neoadjuvant chemotherapy treatment (n = 32). T1-weighted images were registered to the first timepoint with each algorithm.

RESULTS:

Alignment and runtime performance were compared using two-way repeated measure ANOVAs (P < 0.05). Across all patients, Pearson's correlation coefficient across the entire image volume was slightly higher with statistical significance and had less variance for FLIRE (0.98 ± 0.01 stdev) compared to DRAMMS (0.97 ± 0.03 stdev) and Elastix (0.95 ± 0.03 stdev). Additionally, FLIRE runtime (10.0 mins) was 9.0 times faster than DRAMMS (89.6 mins) and 1.5 times faster than Elastix (14.5 mins) on a Linux workstation.

CONCLUSION:

FLIRE demonstrates promise for time-sensitive clinical applications due to its accuracy, robustness across patients and timepoints, and speed.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Mama / Neoplasias de la Mama / Imagen por Resonancia Magnética Límite: Adult / Aged / Female / Humans / Middle aged Idioma: En Revista: Magn Reson Imaging Año: 2024 Tipo del documento: Article Pais de publicación: Países Bajos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Mama / Neoplasias de la Mama / Imagen por Resonancia Magnética Límite: Adult / Aged / Female / Humans / Middle aged Idioma: En Revista: Magn Reson Imaging Año: 2024 Tipo del documento: Article Pais de publicación: Países Bajos