SU‐F‐BRA‐03: Spatial Correlation of 4DCT Ventilation and SPECT Pulmonary Perfusion Defects in Patients with Malignant Airway Stenosis

R. Castillo, E. Castillo, D. Gomez, J. Lopez, T. Guerrero

Research output: Contribution to journalArticle

Abstract

Purpose: To determine the spatial correlation between four‐dimensional computed tomography (4DCT) ventilation and single photon emission computed tomography (SPECT) perfusion hypo‐functioning pulmonary defect regions in patients with malignant airway stenosis. Methods: Treatment planning 4DCT images were obtained retrospectively for 8 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 4DCT, and prior to the initiation of treatment. Deformable image registration was used to map corresponding lung tissue elements between the extreme component phases, from which quantitative images representing the 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 3 independent observers to delineate corresponding defect regions depicted on 4DCT ventilation. The Dice similarity coefficient (DSC) was determined for each observer between SPECT and ventilation hypo‐functioning regions to assess spatial correlation. Results: Tidal volumes determined from 4DCT ventilation were evaluated versus measurements obtained from lung parenchyma segmentation. Linear regression resulted in linear fit with slope = 1.01, and r2 = 0.99. Average DSC among all observers ranged from 0.67‐0.99, with coefficient of variation for any single case < 10% (range: 0.5–9%). Linear correlation was further assessed between average DSC values and corresponding percent volume of the perfusion defect relative to the affected lung, with rho = 0.59 (p = 0.1627) indicating correlation not significantly different from zero. Conclusions: This study is the first to quantitatively assess three‐dimensional spatial correlation between clinically acquired SPECT perfusion and specific ventilation from 4DCT. Results suggest high correlation between methods within the sub‐population of lung cancer patients with malignant airway stenosis. Efforts are currently underway to increase the patient sample size included in this ongoing work.

Original languageEnglish (US)
Number of pages1
JournalMedical Physics
Volume38
Issue number6
DOIs
StatePublished - 2011
Externally publishedYes

Fingerprint

Single-Photon Emission-Computed Tomography
Ventilation
Pathologic Constriction
Perfusion
Lung
Lung Neoplasms
Pulmonary Ventilation
Tidal Volume
Airway Obstruction
Tumor Burden
Sample Size
Linear Models
Tomography
Therapeutics

ASJC Scopus subject areas

  • Biophysics
  • Radiology Nuclear Medicine and imaging

Cite this

SU‐F‐BRA‐03 : Spatial Correlation of 4DCT Ventilation and SPECT Pulmonary Perfusion Defects in Patients with Malignant Airway Stenosis. / Castillo, R.; Castillo, E.; Gomez, D.; Lopez, J.; Guerrero, T.

In: Medical Physics, Vol. 38, No. 6, 2011.

Research output: Contribution to journalArticle

@article{a750653793fa41b1a5b3f2e1f707e155,
title = "SU‐F‐BRA‐03: Spatial Correlation of 4DCT Ventilation and SPECT Pulmonary Perfusion Defects in Patients with Malignant Airway Stenosis",
abstract = "Purpose: To determine the spatial correlation between four‐dimensional computed tomography (4DCT) ventilation and single photon emission computed tomography (SPECT) perfusion hypo‐functioning pulmonary defect regions in patients with malignant airway stenosis. Methods: Treatment planning 4DCT images were obtained retrospectively for 8 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 4DCT, and prior to the initiation of treatment. Deformable image registration was used to map corresponding lung tissue elements between the extreme component phases, from which quantitative images representing the 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 3 independent observers to delineate corresponding defect regions depicted on 4DCT ventilation. The Dice similarity coefficient (DSC) was determined for each observer between SPECT and ventilation hypo‐functioning regions to assess spatial correlation. Results: Tidal volumes determined from 4DCT ventilation were evaluated versus measurements obtained from lung parenchyma segmentation. Linear regression resulted in linear fit with slope = 1.01, and r2 = 0.99. Average DSC among all observers ranged from 0.67‐0.99, with coefficient of variation for any single case < 10{\%} (range: 0.5–9{\%}). Linear correlation was further assessed between average DSC values and corresponding percent volume of the perfusion defect relative to the affected lung, with rho = 0.59 (p = 0.1627) indicating correlation not significantly different from zero. Conclusions: This study is the first to quantitatively assess three‐dimensional spatial correlation between clinically acquired SPECT perfusion and specific ventilation from 4DCT. Results suggest high correlation between methods within the sub‐population of lung cancer patients with malignant airway stenosis. Efforts are currently underway to increase the patient sample size included in this ongoing work.",
author = "R. Castillo and E. Castillo and D. Gomez and J. Lopez and T. Guerrero",
year = "2011",
doi = "10.1118/1.3612870",
language = "English (US)",
volume = "38",
journal = "Medical Physics",
issn = "0094-2405",
publisher = "AAPM - American Association of Physicists in Medicine",
number = "6",

}

TY - JOUR

T1 - SU‐F‐BRA‐03

T2 - Spatial Correlation of 4DCT Ventilation and SPECT Pulmonary Perfusion Defects in Patients with Malignant Airway Stenosis

AU - Castillo, R.

AU - Castillo, E.

AU - Gomez, D.

AU - Lopez, J.

AU - Guerrero, T.

PY - 2011

Y1 - 2011

N2 - Purpose: To determine the spatial correlation between four‐dimensional computed tomography (4DCT) ventilation and single photon emission computed tomography (SPECT) perfusion hypo‐functioning pulmonary defect regions in patients with malignant airway stenosis. Methods: Treatment planning 4DCT images were obtained retrospectively for 8 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 4DCT, and prior to the initiation of treatment. Deformable image registration was used to map corresponding lung tissue elements between the extreme component phases, from which quantitative images representing the 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 3 independent observers to delineate corresponding defect regions depicted on 4DCT ventilation. The Dice similarity coefficient (DSC) was determined for each observer between SPECT and ventilation hypo‐functioning regions to assess spatial correlation. Results: Tidal volumes determined from 4DCT ventilation were evaluated versus measurements obtained from lung parenchyma segmentation. Linear regression resulted in linear fit with slope = 1.01, and r2 = 0.99. Average DSC among all observers ranged from 0.67‐0.99, with coefficient of variation for any single case < 10% (range: 0.5–9%). Linear correlation was further assessed between average DSC values and corresponding percent volume of the perfusion defect relative to the affected lung, with rho = 0.59 (p = 0.1627) indicating correlation not significantly different from zero. Conclusions: This study is the first to quantitatively assess three‐dimensional spatial correlation between clinically acquired SPECT perfusion and specific ventilation from 4DCT. Results suggest high correlation between methods within the sub‐population of lung cancer patients with malignant airway stenosis. Efforts are currently underway to increase the patient sample size included in this ongoing work.

AB - Purpose: To determine the spatial correlation between four‐dimensional computed tomography (4DCT) ventilation and single photon emission computed tomography (SPECT) perfusion hypo‐functioning pulmonary defect regions in patients with malignant airway stenosis. Methods: Treatment planning 4DCT images were obtained retrospectively for 8 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 4DCT, and prior to the initiation of treatment. Deformable image registration was used to map corresponding lung tissue elements between the extreme component phases, from which quantitative images representing the 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 3 independent observers to delineate corresponding defect regions depicted on 4DCT ventilation. The Dice similarity coefficient (DSC) was determined for each observer between SPECT and ventilation hypo‐functioning regions to assess spatial correlation. Results: Tidal volumes determined from 4DCT ventilation were evaluated versus measurements obtained from lung parenchyma segmentation. Linear regression resulted in linear fit with slope = 1.01, and r2 = 0.99. Average DSC among all observers ranged from 0.67‐0.99, with coefficient of variation for any single case < 10% (range: 0.5–9%). Linear correlation was further assessed between average DSC values and corresponding percent volume of the perfusion defect relative to the affected lung, with rho = 0.59 (p = 0.1627) indicating correlation not significantly different from zero. Conclusions: This study is the first to quantitatively assess three‐dimensional spatial correlation between clinically acquired SPECT perfusion and specific ventilation from 4DCT. Results suggest high correlation between methods within the sub‐population of lung cancer patients with malignant airway stenosis. Efforts are currently underway to increase the patient sample size included in this ongoing work.

UR - http://www.scopus.com/inward/record.url?scp=85024783887&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85024783887&partnerID=8YFLogxK

U2 - 10.1118/1.3612870

DO - 10.1118/1.3612870

M3 - Article

AN - SCOPUS:85024783887

VL - 38

JO - Medical Physics

JF - Medical Physics

SN - 0094-2405

IS - 6

ER -