Quantitative vessel tortuosity: A potential CT imaging biomarker for distinguishing lung granulomas from adenocarcinomas
Abstract Adenocarcinomas and active granulomas can both have a spiculated appearance on computed tomography (CT) and both are often fluorodeoxyglucose (FDG) avid on positron emission tomography (PET) scan, making them difficult to distinguish. Consequently, patients with benign granulomas are often...
Guardado en:
| Autores principales: | , , , , , , , , , , , , |
|---|---|
| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Nature Portfolio
2018
|
| Materias: | |
| Acceso en línea: | https://doaj.org/article/4fbebd11081f4ed5bbc3a887d59e7c20 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| id |
oai:doaj.org-article:4fbebd11081f4ed5bbc3a887d59e7c20 |
|---|---|
| record_format |
dspace |
| spelling |
oai:doaj.org-article:4fbebd11081f4ed5bbc3a887d59e7c202021-12-02T15:07:47ZQuantitative vessel tortuosity: A potential CT imaging biomarker for distinguishing lung granulomas from adenocarcinomas10.1038/s41598-018-33473-02045-2322https://doaj.org/article/4fbebd11081f4ed5bbc3a887d59e7c202018-10-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-33473-0https://doaj.org/toc/2045-2322Abstract Adenocarcinomas and active granulomas can both have a spiculated appearance on computed tomography (CT) and both are often fluorodeoxyglucose (FDG) avid on positron emission tomography (PET) scan, making them difficult to distinguish. Consequently, patients with benign granulomas are often subjected to invasive surgical biopsies or resections. In this study, quantitative vessel tortuosity (QVT), a novel CT imaging biomarker to distinguish between benign granulomas and adenocarcinomas on routine non-contrast lung CT scans is introduced. Our study comprised of CT scans of 290 patients from two different institutions, one cohort for training (N = 145) and the other (N = 145) for independent validation. In conjunction with a machine learning classifier, the top informative and stable QVT features yielded an area under receiver operating characteristic curve (ROC AUC) of 0.85 in the independent validation set. On the same cohort, the corresponding AUCs for two human experts including a radiologist and a pulmonologist were found to be 0.61 and 0.60, respectively. QVT features also outperformed well known shape and textural radiomic features which had a maximum AUC of 0.73 (p-value = 0.002), as well as features learned using a convolutional neural network AUC = 0.76 (p-value = 0.028). Our results suggest that QVT features could potentially serve as a non-invasive imaging biomarker to distinguish granulomas from adenocarcinomas on non-contrast CT scans.Mehdi AlilouMahdi OroojiNiha BeigPrateek PrasannaPrabhakar RajiahChristopher DonatelliVamsidhar VelchetiSagar RakshitMichael YangFrank JaconoRobert GilkesonPhilip LindenAnant MadabhushiNature PortfolioarticleVessel TortuosityRadiomic FeaturesBenign GranulomaNodal VasculatureVasculature VolumeMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-16 (2018) |
| institution |
DOAJ |
| collection |
DOAJ |
| language |
EN |
| topic |
Vessel Tortuosity Radiomic Features Benign Granuloma Nodal Vasculature Vasculature Volume Medicine R Science Q |
| spellingShingle |
Vessel Tortuosity Radiomic Features Benign Granuloma Nodal Vasculature Vasculature Volume Medicine R Science Q Mehdi Alilou Mahdi Orooji Niha Beig Prateek Prasanna Prabhakar Rajiah Christopher Donatelli Vamsidhar Velcheti Sagar Rakshit Michael Yang Frank Jacono Robert Gilkeson Philip Linden Anant Madabhushi Quantitative vessel tortuosity: A potential CT imaging biomarker for distinguishing lung granulomas from adenocarcinomas |
| description |
Abstract Adenocarcinomas and active granulomas can both have a spiculated appearance on computed tomography (CT) and both are often fluorodeoxyglucose (FDG) avid on positron emission tomography (PET) scan, making them difficult to distinguish. Consequently, patients with benign granulomas are often subjected to invasive surgical biopsies or resections. In this study, quantitative vessel tortuosity (QVT), a novel CT imaging biomarker to distinguish between benign granulomas and adenocarcinomas on routine non-contrast lung CT scans is introduced. Our study comprised of CT scans of 290 patients from two different institutions, one cohort for training (N = 145) and the other (N = 145) for independent validation. In conjunction with a machine learning classifier, the top informative and stable QVT features yielded an area under receiver operating characteristic curve (ROC AUC) of 0.85 in the independent validation set. On the same cohort, the corresponding AUCs for two human experts including a radiologist and a pulmonologist were found to be 0.61 and 0.60, respectively. QVT features also outperformed well known shape and textural radiomic features which had a maximum AUC of 0.73 (p-value = 0.002), as well as features learned using a convolutional neural network AUC = 0.76 (p-value = 0.028). Our results suggest that QVT features could potentially serve as a non-invasive imaging biomarker to distinguish granulomas from adenocarcinomas on non-contrast CT scans. |
| format |
article |
| author |
Mehdi Alilou Mahdi Orooji Niha Beig Prateek Prasanna Prabhakar Rajiah Christopher Donatelli Vamsidhar Velcheti Sagar Rakshit Michael Yang Frank Jacono Robert Gilkeson Philip Linden Anant Madabhushi |
| author_facet |
Mehdi Alilou Mahdi Orooji Niha Beig Prateek Prasanna Prabhakar Rajiah Christopher Donatelli Vamsidhar Velcheti Sagar Rakshit Michael Yang Frank Jacono Robert Gilkeson Philip Linden Anant Madabhushi |
| author_sort |
Mehdi Alilou |
| title |
Quantitative vessel tortuosity: A potential CT imaging biomarker for distinguishing lung granulomas from adenocarcinomas |
| title_short |
Quantitative vessel tortuosity: A potential CT imaging biomarker for distinguishing lung granulomas from adenocarcinomas |
| title_full |
Quantitative vessel tortuosity: A potential CT imaging biomarker for distinguishing lung granulomas from adenocarcinomas |
| title_fullStr |
Quantitative vessel tortuosity: A potential CT imaging biomarker for distinguishing lung granulomas from adenocarcinomas |
| title_full_unstemmed |
Quantitative vessel tortuosity: A potential CT imaging biomarker for distinguishing lung granulomas from adenocarcinomas |
| title_sort |
quantitative vessel tortuosity: a potential ct imaging biomarker for distinguishing lung granulomas from adenocarcinomas |
| publisher |
Nature Portfolio |
| publishDate |
2018 |
| url |
https://doaj.org/article/4fbebd11081f4ed5bbc3a887d59e7c20 |
| work_keys_str_mv |
AT mehdialilou quantitativevesseltortuosityapotentialctimagingbiomarkerfordistinguishinglunggranulomasfromadenocarcinomas AT mahdiorooji quantitativevesseltortuosityapotentialctimagingbiomarkerfordistinguishinglunggranulomasfromadenocarcinomas AT nihabeig quantitativevesseltortuosityapotentialctimagingbiomarkerfordistinguishinglunggranulomasfromadenocarcinomas AT prateekprasanna quantitativevesseltortuosityapotentialctimagingbiomarkerfordistinguishinglunggranulomasfromadenocarcinomas AT prabhakarrajiah quantitativevesseltortuosityapotentialctimagingbiomarkerfordistinguishinglunggranulomasfromadenocarcinomas AT christopherdonatelli quantitativevesseltortuosityapotentialctimagingbiomarkerfordistinguishinglunggranulomasfromadenocarcinomas AT vamsidharvelcheti quantitativevesseltortuosityapotentialctimagingbiomarkerfordistinguishinglunggranulomasfromadenocarcinomas AT sagarrakshit quantitativevesseltortuosityapotentialctimagingbiomarkerfordistinguishinglunggranulomasfromadenocarcinomas AT michaelyang quantitativevesseltortuosityapotentialctimagingbiomarkerfordistinguishinglunggranulomasfromadenocarcinomas AT frankjacono quantitativevesseltortuosityapotentialctimagingbiomarkerfordistinguishinglunggranulomasfromadenocarcinomas AT robertgilkeson quantitativevesseltortuosityapotentialctimagingbiomarkerfordistinguishinglunggranulomasfromadenocarcinomas AT philiplinden quantitativevesseltortuosityapotentialctimagingbiomarkerfordistinguishinglunggranulomasfromadenocarcinomas AT anantmadabhushi quantitativevesseltortuosityapotentialctimagingbiomarkerfordistinguishinglunggranulomasfromadenocarcinomas |
| _version_ |
1718388383801147392 |