Multi-Compartment Spatially-Derived Radiomics From Optical Coherence Tomography Predict Anti-VEGF Treatment Durability in Macular Edema Secondary to Retinal Vascular Disease: Preliminary Findings
Objective: Diabetic macular edema (DME) and retinal vein occlusion (RVO) are the leading causes of visual impairments across the world. Vascular endothelial growth factor (VEGF) stimulates breakdown of blood-retinal barrier that causes accumulation of fluid within macula. Anti-VEGF therapy is the fi...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2021-01-01
|
| Series: | IEEE Journal of Translational Engineering in Health and Medicine |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9481089/ |
| _version_ | 1818574805792718848 |
|---|---|
| author | Sudeshna Sil Kar Duriye Damla Sevgi Vincent Dong Sunil K. Srivastava Anant Madabhushi Justis P. Ehlers |
| author_facet | Sudeshna Sil Kar Duriye Damla Sevgi Vincent Dong Sunil K. Srivastava Anant Madabhushi Justis P. Ehlers |
| author_sort | Sudeshna Sil Kar |
| collection | DOAJ |
| description | Objective: Diabetic macular edema (DME) and retinal vein occlusion (RVO) are the leading causes of visual impairments across the world. Vascular endothelial growth factor (VEGF) stimulates breakdown of blood-retinal barrier that causes accumulation of fluid within macula. Anti-VEGF therapy is the first-line treatment for both the diseases; however, the degree of response varies for individual patients. The main objective of this work was to identify the (i) texture-based radiomics features within individual fluid and retinal tissue compartments of baseline spectral-domain optical coherence tomography (SD-OCT) images and (ii) the specific spatial compartments that contribute most pertinent features for predicting therapeutic response. Methods: A total of 962 texture-based radiomics features were extracted from each of the fluid and retinal tissue compartments of OCT images, obtained from the PERMEATE study. Top-performing features selected from the consensus of different feature selection methods were evaluated in conjunction with four different machine learning classifiers: Linear Discriminant Analysis (LDA), Quadratic Discriminant Analysis (QDA), Random Forest (RF), and Support Vector Machine (SVM) in a cross-validated approach to distinguish eyes tolerating extended interval dosing (non-rebounders) and those requiring more frequent dosing (rebounders). Results: Combination of fluid and retinal tissue features yielded a cross-validated area under receiver operating characteristic curve (AUC) of 0.78±0.08 in distinguishing rebounders from non-rebounders. Conclusions: This study revealed that the texture-based radiomics features pertaining to IRF subcompartment were most discriminating between rebounders and non-rebounders to anti-VEGF therapy. Clinical Impact: With further validation, OCT-based imaging biomarkers could be used for treatment management of DME patients. |
| first_indexed | 2024-12-15T00:30:59Z |
| format | Article |
| id | doaj.art-f9c3ff0c036049af92d41a5a74ed9d02 |
| institution | Directory Open Access Journal |
| issn | 2168-2372 |
| language | English |
| last_indexed | 2024-12-15T00:30:59Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Translational Engineering in Health and Medicine |
| spelling | doaj.art-f9c3ff0c036049af92d41a5a74ed9d022022-12-21T22:42:01ZengIEEEIEEE Journal of Translational Engineering in Health and Medicine2168-23722021-01-01911310.1109/JTEHM.2021.30963789481089Multi-Compartment Spatially-Derived Radiomics From Optical Coherence Tomography Predict Anti-VEGF Treatment Durability in Macular Edema Secondary to Retinal Vascular Disease: Preliminary FindingsSudeshna Sil Kar0https://orcid.org/0000-0001-5790-5132Duriye Damla Sevgi1Vincent Dong2https://orcid.org/0000-0002-4570-8008Sunil K. Srivastava3Anant Madabhushi4Justis P. Ehlers5https://orcid.org/0000-0001-6763-7768Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USAThe Tony and Leona Campane Center for Excellence in Image-Guided Surgery and Advancing Imaging Research, Cleveland Clinic Cole Eye Institute, Cleveland, OH, USADepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USAThe Tony and Leona Campane Center for Excellence in Image-Guided Surgery and Advancing Imaging Research, Cleveland Clinic Cole Eye Institute, Cleveland, OH, USADepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USAThe Tony and Leona Campane Center for Excellence in Image-Guided Surgery and Advancing Imaging Research, Cleveland Clinic Cole Eye Institute, Cleveland, OH, USAObjective: Diabetic macular edema (DME) and retinal vein occlusion (RVO) are the leading causes of visual impairments across the world. Vascular endothelial growth factor (VEGF) stimulates breakdown of blood-retinal barrier that causes accumulation of fluid within macula. Anti-VEGF therapy is the first-line treatment for both the diseases; however, the degree of response varies for individual patients. The main objective of this work was to identify the (i) texture-based radiomics features within individual fluid and retinal tissue compartments of baseline spectral-domain optical coherence tomography (SD-OCT) images and (ii) the specific spatial compartments that contribute most pertinent features for predicting therapeutic response. Methods: A total of 962 texture-based radiomics features were extracted from each of the fluid and retinal tissue compartments of OCT images, obtained from the PERMEATE study. Top-performing features selected from the consensus of different feature selection methods were evaluated in conjunction with four different machine learning classifiers: Linear Discriminant Analysis (LDA), Quadratic Discriminant Analysis (QDA), Random Forest (RF), and Support Vector Machine (SVM) in a cross-validated approach to distinguish eyes tolerating extended interval dosing (non-rebounders) and those requiring more frequent dosing (rebounders). Results: Combination of fluid and retinal tissue features yielded a cross-validated area under receiver operating characteristic curve (AUC) of 0.78±0.08 in distinguishing rebounders from non-rebounders. Conclusions: This study revealed that the texture-based radiomics features pertaining to IRF subcompartment were most discriminating between rebounders and non-rebounders to anti-VEGF therapy. Clinical Impact: With further validation, OCT-based imaging biomarkers could be used for treatment management of DME patients.https://ieeexplore.ieee.org/document/9481089/Diabetic macular edema (DME)Intravitreal Aflibercept Injection (IAI)optical coherence tomography (OCT)radiomicsvascular endothelial growth factor (VEGF) |
| spellingShingle | Sudeshna Sil Kar Duriye Damla Sevgi Vincent Dong Sunil K. Srivastava Anant Madabhushi Justis P. Ehlers Multi-Compartment Spatially-Derived Radiomics From Optical Coherence Tomography Predict Anti-VEGF Treatment Durability in Macular Edema Secondary to Retinal Vascular Disease: Preliminary Findings IEEE Journal of Translational Engineering in Health and Medicine Diabetic macular edema (DME) Intravitreal Aflibercept Injection (IAI) optical coherence tomography (OCT) radiomics vascular endothelial growth factor (VEGF) |
| title | Multi-Compartment Spatially-Derived Radiomics From Optical Coherence Tomography Predict Anti-VEGF Treatment Durability in Macular Edema Secondary to Retinal Vascular Disease: Preliminary Findings |
| title_full | Multi-Compartment Spatially-Derived Radiomics From Optical Coherence Tomography Predict Anti-VEGF Treatment Durability in Macular Edema Secondary to Retinal Vascular Disease: Preliminary Findings |
| title_fullStr | Multi-Compartment Spatially-Derived Radiomics From Optical Coherence Tomography Predict Anti-VEGF Treatment Durability in Macular Edema Secondary to Retinal Vascular Disease: Preliminary Findings |
| title_full_unstemmed | Multi-Compartment Spatially-Derived Radiomics From Optical Coherence Tomography Predict Anti-VEGF Treatment Durability in Macular Edema Secondary to Retinal Vascular Disease: Preliminary Findings |
| title_short | Multi-Compartment Spatially-Derived Radiomics From Optical Coherence Tomography Predict Anti-VEGF Treatment Durability in Macular Edema Secondary to Retinal Vascular Disease: Preliminary Findings |
| title_sort | multi compartment spatially derived radiomics from optical coherence tomography predict anti vegf treatment durability in macular edema secondary to retinal vascular disease preliminary findings |
| topic | Diabetic macular edema (DME) Intravitreal Aflibercept Injection (IAI) optical coherence tomography (OCT) radiomics vascular endothelial growth factor (VEGF) |
| url | https://ieeexplore.ieee.org/document/9481089/ |
| work_keys_str_mv | AT sudeshnasilkar multicompartmentspatiallyderivedradiomicsfromopticalcoherencetomographypredictantivegftreatmentdurabilityinmacularedemasecondarytoretinalvasculardiseasepreliminaryfindings AT duriyedamlasevgi multicompartmentspatiallyderivedradiomicsfromopticalcoherencetomographypredictantivegftreatmentdurabilityinmacularedemasecondarytoretinalvasculardiseasepreliminaryfindings AT vincentdong multicompartmentspatiallyderivedradiomicsfromopticalcoherencetomographypredictantivegftreatmentdurabilityinmacularedemasecondarytoretinalvasculardiseasepreliminaryfindings AT sunilksrivastava multicompartmentspatiallyderivedradiomicsfromopticalcoherencetomographypredictantivegftreatmentdurabilityinmacularedemasecondarytoretinalvasculardiseasepreliminaryfindings AT anantmadabhushi multicompartmentspatiallyderivedradiomicsfromopticalcoherencetomographypredictantivegftreatmentdurabilityinmacularedemasecondarytoretinalvasculardiseasepreliminaryfindings AT justispehlers multicompartmentspatiallyderivedradiomicsfromopticalcoherencetomographypredictantivegftreatmentdurabilityinmacularedemasecondarytoretinalvasculardiseasepreliminaryfindings |