Your browser doesn't support javascript.
loading
Evaluating stereotactic accuracy with patient-specific MRI distortion corrections for frame-based radiosurgery.
Knill, Cory; Halford, Robert; Sandhu, Raminder; Loughery, Brian; Shamim, Sharjil; Junn, Fred; Lee, Kuei; Almahariq, Muayad; Seymour, Zachary.
Affiliation
  • Knill C; Department of Radiation Oncology, Corewell Health William Beaumont University Hospital, Royal Oak, Michigan, USA.
  • Halford R; Department of Radiation Oncology, Corewell Health William Beaumont University Hospital, Royal Oak, Michigan, USA.
  • Sandhu R; Department of Radiation Oncology, Corewell Health William Beaumont University Hospital, Royal Oak, Michigan, USA.
  • Loughery B; Department of Radiation Oncology, Corewell Health William Beaumont University Hospital, Royal Oak, Michigan, USA.
  • Shamim S; William Beaumont School of Medicine, Oakland University, Rochester, Michigan, USA.
  • Junn F; Department of Radiation Oncology, Corewell Health William Beaumont University Hospital, Royal Oak, Michigan, USA.
  • Lee K; Department of Radiation Oncology, Corewell Health William Beaumont University Hospital, Royal Oak, Michigan, USA.
  • Almahariq M; Department of Radiation Oncology, Corewell Health William Beaumont University Hospital, Royal Oak, Michigan, USA.
  • Seymour Z; Department of Radiation Oncology, Corewell Health William Beaumont University Hospital, Royal Oak, Michigan, USA.
J Appl Clin Med Phys ; : e14472, 2024 Jul 23.
Article in En | MEDLINE | ID: mdl-39042450
ABSTRACT

PURPOSE:

This study examines how MRI distortions affect frame-based SRS treatments and assesses the need for clinical distortion corrections.

METHODS:

The study included 18 patients with 80 total brain targets treated using frame-based radiosurgery. Distortion within patients' MRIs were corrected using Cranial Distortion Correction (CDC) software, which utilizes the patient's CT to alter planning MRIs to reduce inherent intra-cranial distortion. Distortion was evaluated by comparing the original planning target volumes (PTVORIG) to targets contoured on corrected MRIs (PTVCORR). To provide an internal control, targets were also re-contoured on uncorrected (PTVRECON) MRIs. Additional analysis was done to assess if 1 mm expansions to PTVORIG targets would compensate for patient-specific distortions. Changes in target volumes, DICE and JACCARD similarity coefficients, minimum PTV dose (Dmin), dose to 95% of the PTV (D95%), and normal tissue receiving 12 Gy (V12Gy), 10 Gy (V10Gy), and 5 Gy (V5Gy) were calculated and evaluated. Student's t-tests were used to determine if changes in PTVCORR were significantly different than intra-contouring variability quantified by PTVRECON.

RESULTS:

PTVRECON and PTVCORR relative changes in volume were 6.19% ± 10.95% and 1.48% ± 32.92%. PTVRECON and PTVCORR similarity coefficients were 0.90 ± 0.08 and 0.73 ± 0.16 for DICE and 0.82 ± 0.12 and 0.60 ± 0.18 for JACCARD. PTVRECON and PTVCORR changes in Dmin were -0.88% ± 8.77% and -12.9 ± 17.3%. PTVRECON and PTVCORR changes in D95% were -0.34% ± 5.89 and -8.68% ± 13.21%. The 1 mm expanded PTVORIG targets did not entirely cover 14 of the 80 PTVCORR targets. Normal tissue changes (V12Gy, V10Gy, V5Gy) calculated with PTVRECON were (-0.09% ± 7.39%, -0.38% ± 5.67%, -0.08% ± 2.04%) and PTVCORR were (-2.14% ± 7.34%, -1.42% ± 5.45%, -0.61% ± 1.93%). Except for V10Gy, all PTVCORR changes were significantly different (p < 0.05) than PTVRECON.

CONCLUSION:

MRIs used for SRS target delineation exhibit notable geometric distortions that may compromise optimal dosimetric accuracy. A uniform 1 mm expansion may result in geometric misses; however, the CDC algorithm provides a feasible solution for rectifying distortions, thereby enhancing treatment precision.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Appl Clin Med Phys Journal subject: BIOFISICA Year: 2024 Document type: Article Affiliation country: United States Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Appl Clin Med Phys Journal subject: BIOFISICA Year: 2024 Document type: Article Affiliation country: United States Country of publication: United States