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RESEARCH PRODUCT

Assessment of Lung Cancer Development in Idiopathic Pulmonary Fibrosis Patients Using Quantitative High-Resolution Computed Tomography:A Retrospective Analysis

Mauro PavoneDaniele FalsaperlaAda VancheriEmanuele GrassedonioAlessandro StefanoPolettiSebastiano Emanuele TorrisiLetizia MauroAntonio BasileSilvia PuglisiCarlo VancheriStefano PalmucciS. TomassettiGianluca SambataroSara PiciucchiGiorgio Ivan RussoAlfredo Gaetano Torcitto

subject

MalePulmonary and Respiratory MedicineHigh-resolution computed tomography030204 cardiovascular system & hematologylung neoplasmsSensitivity and Specificity030218 nuclear medicine & medical imaging03 medical and health sciencesIdiopathic pulmonary fibrosis0302 clinical medicineFibrosismedicineRetrospective analysisHumansRadiology Nuclear Medicine and imagingusual interstitial pneumoniaLung cancerLungmultidetectorAgedRetrospective StudiesAged 80 and overmedicine.diagnostic_testbusiness.industryRetrospective cohort studycomputed tomographyMiddle Agedmedicine.diseaseidiopathic pulmonary fibrosisDisease ProgressionMann–Whitney U testKurtosisFemaleTomography X-Ray ComputedNuclear medicinebusiness

description

Purpose The purpose of this study was to investigate histogram-based quantitative high-resolution computed tomography (HRCT) indexes in the assessment of lung cancer (LC) development in idiopathic pulmonary fibrosis (IPF) patients. Materials and methods From IPF databases of 2 national respiratory centers, we retrospectively studied patients with and without LC development-respectively, divided into Group A (n=16) and Group B (n=33). The extent of fibrotic disease was quantified on baseline and follow-up HRCT examinations using kurtosis, skewness, percentage of high attenuation area (HAA%), and percentage of fibrotic area (FA%). These indexes were compared between the 2 groups using the Mann-Whitney U test. In the prediction of LC development, receiver operating characteristic analysis was performed to assess threshold values of HRCT indexes. Results At baseline, no difference was reported among groups for kurtosis, skewness, HAA%, and FA%, with P-values of 0.0881, 0.0606, 0.0578, and 0.0606, respectively. On follow-up, significant differences were reported, with P-values of 0.0174 for kurtosis, 0.0313 for skewness, 0.0297 for HAA%, and 0.0407 for FA%.On baseline HRCT, in the prediction of LC development, receiver operating characteristic analysis reported sensibility and specificity of 87.5% and 45.45% for kurtosis, 68.75% and 63.64% for skewness, 81.25% and 54.55% for FA%, and 75% and 60.61% for HAA%. Conclusions LC development is associated with progression of fibrosis; at baseline, FA% and HAA% reported more convenient sensitivity/specificity ratios in the prediction of LC development.

10.1097/rti.0000000000000468https://pure.au.dk/portal/da/publications/assessment-of-lung-cancer-development-in-idiopathic-pulmonary-fibrosis-patients-using-quantitative-highresolution-computed-tomography(f6b15a17-52ac-4a74-af80-955111ffe9e2).html