Computer Tools to Analyze Lung CT Changes after Radiotherapy

Konkol, Marek; Sniatala, Konrad; Śniatała, Pawel; Wilk, Szymon; Baczyńska, Beata; Milecki, Piotr

doi:10.3390/app11041582

Cited by 8 publications

(5 citation statements)

References 20 publications

(22 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We have developed a dedicated server-based application described in [ 16 ] for study purposes. The workflow started with uploading CT images and RT-specific DICOM files (RT_dose, RT_structure) and automatically selecting lung-containing scans using artificial intelligence (neural network VGG16).…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Normal Lung Tissue CT Density Changes after Volumetric-Arc Radiotherapy (VMAT) for Lung Cancer

Konkol

Bryl

Fechner³

et al. 2022

JPM

Self Cite

View full text Add to dashboard Cite

Radiation-induced lung injury remains a significant toxicity in thoracic radiotherapy. Because a precise diagnosis is difficult and commonly used assessment scales are unclear and subjective, there is a need to establish quantitative and sensitive grading methods. The lung tissue density change expressed in Hounsfield units (HUs) derived from CT scans seems a useful numeric surrogate. The study aimed to confirm a dose-response effect on HU value changes (ΔHU), their evolution in time, and the impact of selected clinical and demographic factors. We used dedicated, self-developed software to register and analyze 120 pairs of initial and follow-up CT scans of 47 lung cancer patients treated with dynamic arc radiotherapy. The differences in HU values between CT scans were calculated within discretized dose-bins limited by isodose lines. We have proved the dose-effect relationship, which is well described with a sigmoid model. We found the time evolution of HU changes to suit a typical clinical presentation of radiation-induced toxicity. Some clinical factors were found to correlate with ΔHU degree: planning target volume (PTV), V35 in the lung, patient’s age and a history of arterial hypertension, and initial lung ventilation intensity. Lung density change assessment turned out to be a sensitive and valuable method of grading post-RT lung toxicity.

show abstract

Section: Methodsmentioning

confidence: 99%

“…Some authors showed a dose-response relation, evolution in time, and basic predictive factors [ 10 , 11 , 12 , 13 , 14 , 15 ]. There are few examples of dedicated software for big-data analysis of DICOM (Digital Imaging and Communications in Medicine) lung images [ 16 ].…”

Section: Introductionmentioning

confidence: 99%

Normal Lung Tissue CT Density Changes after Volumetric-Arc Radiotherapy (VMAT) for Lung Cancer

Konkol

Bryl

Fechner³

et al. 2022

JPM

Self Cite

View full text Add to dashboard Cite

show abstract

“…The 3D affine registration method was employed to register the inhale and exhale CT images of the lung based on the lung segmentation conducted in the previous step as the image mask. More details on the 3D affine registration can be found elsewhere [ 14 ].…”

Section: Methodsmentioning

confidence: 99%

Computer-assisted evaluation of small airway disease in CT scans of Iran-Iraq war victims of chemical warfare by a locally developed software: comparison between different quantitative methods

Baradaran Mahdavi,

Rafati,

Ghanei

et al. 2023

BMC Med Imaging

View full text Add to dashboard Cite

Objective Diagnosis of small airway disease on computed tomography (CT) scans is challenging in patients with a history of chemical warfare exposure. We developed a software package based on different methodologies to identify and quantify small airway disease in CT images. The primary aim was to identify the best automatic methodology for detecting small airway disease in CT scans of Iran-Iraq War victims of chemical warfare. Methods This retrospective case–control study enrolled 46 patients with a history of chemical warfare exposure and 27 controls with inspiratory/expiratory (I/E) CT scans and spirometry tests. Image data were automatically segmented, and inspiratory images were registered into the expiratory images' frame using the locally developed software. Parametric response mapping (PRM) and air trapping index (ATI) mapping were performed on the CT images. Conventional QCT methods, including expiratory/inspiratory mean lung attenuation (E/I MLA) ratio, normal density E/I (ND E/I) MLA ratio, attenuation volume Index (AVI), %low attenuation areas (LAA) < -856 in exhale scans, and %LAA < -950 in inhale scans were also computed. QCT measurements were correlated with spirometry results and compared across the two study groups. Results The correlation analysis showed a significant negative relationship between three air trapping (AT) measurements (PRM, ATI, and %LAAExp < -856) and spirometry parameters (Fev1, Fvc, Fev1/Fvc, and MMEF). Moreover, %LAAExp < -856 had the highest significant negative correlation with Fev1/Fvc (r = -0.643, P-value < 0.001). Three AT measurements demonstrated a significant difference between the study groups. The E/I ratio was also significantly different between the two groups (P-value < 0.001). Binary logistic regression models showed PRMFsad, %LAAExp < -856, and ATI as significant and strong predictors of the study outcome. Optimal cut-points for PRMFsad = 19%, %LAAExp < -856 = 23%, and ATI = 27% were identified to classify the participants into two groups with high accuracy. Conclusion QCT methods, including PRM, ATI, and %LAAExp < -856 can greatly advance the identification and quantification of SAD in chemical warfare victims. The results should be verified in well-designed prospective studies involving a large population.

show abstract

“…The lung tissue density change expressed in Hounsfield Units (HU) derived from CT scans can be a numeric surrogate as it seems to fit the most commonly implemented NTCP models of lung response to radiation [ 33 ]. There are also some examples of dedicated software for big-data analysis of DICOM lung images [ 34 ].…”

Section: Quantitative Assessment Of Lung Density Changes After Radiot...mentioning

confidence: 99%

Radiation-induced lung injury — what do we know in the era of modern radiotherapy?

Konkol

Śniatała

Milecki

2022

Rep Pract Oncol Radiother.

Self Cite

View full text Add to dashboard Cite

show abstract

Computer Tools to Analyze Lung CT Changes after Radiotherapy

Cited by 8 publications

References 20 publications

Normal Lung Tissue CT Density Changes after Volumetric-Arc Radiotherapy (VMAT) for Lung Cancer

Normal Lung Tissue CT Density Changes after Volumetric-Arc Radiotherapy (VMAT) for Lung Cancer

Computer-assisted evaluation of small airway disease in CT scans of Iran-Iraq war victims of chemical warfare by a locally developed software: comparison between different quantitative methods

Radiation-induced lung injury — what do we know in the era of modern radiotherapy?

Contact Info

Product

Resources

About