Spatial correspondence of 4D CT ventilation and SPECT pulmonary perfusion defects in patients with malignant airway stenosis

Richard Castillo, Edward Castillo, Matthew McCurdy, Daniel R. Gomez, Alec M. Block, Derek Bergsma, Sarah Joy, Thomas Guerrero

Research output: Contribution to journalArticle

39 Citations (Scopus)

Abstract

To determine the spatial overlap agreement between four-dimensional computed tomography (4D CT) ventilation and single photon emission computed tomography (SPECT) perfusion hypo-functioning pulmonary defect regions in a patient population with malignant airway stenosis. Treatment planning 4D CT images were obtained retrospectively for ten lung cancer patients with radiographically demonstrated airway obstruction due to gross tumor volume. Each patient also received a SPECT perfusion study within one week of the planning 4D CT, and prior to the initiation of treatment. Deformable image registration was used to map corresponding lung tissue elements between the extreme component phase images, from which quantitative three-dimensional (3D) images representing the local pulmonary specific ventilation were constructed. Semi-automated segmentation of the percentile perfusion distribution was performed to identify regional defects distal to the known obstructing lesion. Semi-automated segmentation was similarly performed by multiple observers to delineate corresponding defect regions depicted on 4D CT ventilation. Normalized Dice similarity coefficient (NDSC) indices were determined for each observer between SPECT perfusion and 4D CT ventilation defect regions to assess spatial overlap agreement. Tidal volumes determined from 4D CT ventilation were evaluated versus measurements obtained from lung parenchyma segmentation. Linear regression resulted in a linear fit with slope = 1.01 (R 2= 0.99). Respective values for the average DSC, NDSC 1 mmand NDSC 2 mmfor all cases and multiple observers were 0.78, 0.88 and 0.99, indicating that, on average, spatial overlap agreement between ventilation and perfusion defect regions was comparable to the threshold for agreement within 12 mm uncertainty. Corresponding coefficients of variation for all metrics were similarly in the range: 0.10%19%. This study is the first to quantitatively assess 3D spatial overlap agreement between clinically acquired SPECT perfusion and specific ventilation from 4D CT. Results suggest high correlation between methods within the sub-population of lung cancer patients with malignant airway stenosis.

Original languageEnglish (US)
Pages (from-to)1855-1871
Number of pages17
JournalPhysics in Medicine and Biology
Volume57
Issue number7
DOIs
StatePublished - Apr 7 2012
Externally publishedYes

Fingerprint

Four-Dimensional Computed Tomography
Single-Photon Emission-Computed Tomography
Pathologic Constriction
Perfusion
Lung
Ventilation
Lung Neoplasms
Pulmonary Ventilation
Three-Dimensional Imaging
Tidal Volume
Airway Obstruction
Tumor Burden
Population
Uncertainty
Linear Models

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology

Cite this

Spatial correspondence of 4D CT ventilation and SPECT pulmonary perfusion defects in patients with malignant airway stenosis. / Castillo, Richard; Castillo, Edward; McCurdy, Matthew; Gomez, Daniel R.; Block, Alec M.; Bergsma, Derek; Joy, Sarah; Guerrero, Thomas.

In: Physics in Medicine and Biology, Vol. 57, No. 7, 07.04.2012, p. 1855-1871.

Research output: Contribution to journalArticle

Castillo, R, Castillo, E, McCurdy, M, Gomez, DR, Block, AM, Bergsma, D, Joy, S & Guerrero, T 2012, 'Spatial correspondence of 4D CT ventilation and SPECT pulmonary perfusion defects in patients with malignant airway stenosis', Physics in Medicine and Biology, vol. 57, no. 7, pp. 1855-1871. https://doi.org/10.1088/0031-9155/57/7/1855
Castillo, Richard ; Castillo, Edward ; McCurdy, Matthew ; Gomez, Daniel R. ; Block, Alec M. ; Bergsma, Derek ; Joy, Sarah ; Guerrero, Thomas. / Spatial correspondence of 4D CT ventilation and SPECT pulmonary perfusion defects in patients with malignant airway stenosis. In: Physics in Medicine and Biology. 2012 ; Vol. 57, No. 7. pp. 1855-1871.
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