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Showing 1 to 6 of 6 entries
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Collagen fiber orientation disorder from H&E images is prognostic for early stage breast cancer: clinical trial validation.

NPJ breast cancer

Li H, Bera K, Toro P, Fu P, Zhang Z, Lu C, Feldman M, Ganesan S, Goldstein LJ, Davidson NE, Glasgow A, Harbhajanka A, Gilmore H, Madabhushi A.
PMID: 34362928
NPJ Breast Cancer. 2021 Aug 06;7(1):104. doi: 10.1038/s41523-021-00310-z.

Collagen fiber organization has been found to be implicated in breast cancer prognosis. In this study, we evaluated whether computerized features of Collagen Fiber Orientation Disorder in Tumor-associated Stroma (CFOD-TS) on Hematoxylin & Eosin (H&E) slide images were prognostic...

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Li H, Bera K, Toro P, et al. Collagen fiber orientation disorder from H&E images is prognostic for early stage breast cancer: clinical trial validation. NPJ Breast Cancer. 2021;7(1):104doi: 10.1038/s41523-021-00310-z.
Li, H., Bera, K., Toro, P., Fu, P., Zhang, Z., Lu, C., Feldman, M., Ganesan, S., Goldstein, L. J., Davidson, N. E., Glasgow, A., Harbhajanka, A., Gilmore, H., & Madabhushi, A. (2021). Collagen fiber orientation disorder from H&E images is prognostic for early stage breast cancer: clinical trial validation. NPJ breast cancer, 7(1), 104. https://doi.org/10.1038/s41523-021-00310-z
Li, Haojia, et al. "Collagen fiber orientation disorder from H&E images is prognostic for early stage breast cancer: clinical trial validation." NPJ breast cancer vol. 7,1 (2021): 104. doi: https://doi.org/10.1038/s41523-021-00310-z
Li H, Bera K, Toro P, Fu P, Zhang Z, Lu C, Feldman M, Ganesan S, Goldstein LJ, Davidson NE, Glasgow A, Harbhajanka A, Gilmore H, Madabhushi A. Collagen fiber orientation disorder from H&E images is prognostic for early stage breast cancer: clinical trial validation. NPJ Breast Cancer. 2021 Aug 06;7(1):104. doi: 10.1038/s41523-021-00310-z. PMID: 34362928; PMCID: PMC8346522.
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Computationally Derived Cribriform Area Index from Prostate Cancer Hematoxylin and Eosin Images Is Associated with Biochemical Recurrence Following Radical Prostatectomy and Is Most Prognostic in Gleason Grade Group 2.

European urology focus

Leo P, Chandramouli S, Farré X, Elliott R, Janowczyk A, Bera K, Fu P, Janaki N, El-Fahmawi A, Shahait M, Kim J, Lee D, Yamoah K, Rebbeck TR, Khani F, Robinson BD, Shih NNC, Feldman M, Gupta S, McKenney J, Lal P, Madabhushi A.
PMID: 33941504
Eur Urol Focus. 2021 Jul;7(4):722-732. doi: 10.1016/j.euf.2021.04.016. Epub 2021 Apr 30.

BACKGROUND: The presence of invasive cribriform adenocarcinoma (ICC), an expanse of cells containing punched-out lumina uninterrupted by stroma, in radical prostatectomy (RP) specimens has been associated with biochemical recurrence (BCR). However, ICC identification has only moderate inter-reviewer agreement.OBJECTIVE: To...

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Leo P, Chandramouli S, Farré X, et al. Computationally Derived Cribriform Area Index from Prostate Cancer Hematoxylin and Eosin Images Is Associated with Biochemical Recurrence Following Radical Prostatectomy and Is Most Prognostic in Gleason Grade Group 2. Eur Urol Focus. 2021;7(4):722-732doi: 10.1016/j.euf.2021.04.016.
Leo, P., Chandramouli, S., Farré, X., Elliott, R., Janowczyk, A., Bera, K., Fu, P., Janaki, N., El-Fahmawi, A., Shahait, M., Kim, J., Lee, D., Yamoah, K., Rebbeck, T. R., Khani, F., Robinson, B. D., Shih, N. N. C., Feldman, M., Gupta, S., McKenney, J., Lal, P., & Madabhushi, A. (2021). Computationally Derived Cribriform Area Index from Prostate Cancer Hematoxylin and Eosin Images Is Associated with Biochemical Recurrence Following Radical Prostatectomy and Is Most Prognostic in Gleason Grade Group 2. European urology focus, 7(4), 722-732. https://doi.org/10.1016/j.euf.2021.04.016
Leo, Patrick, et al. "Computationally Derived Cribriform Area Index from Prostate Cancer Hematoxylin and Eosin Images Is Associated with Biochemical Recurrence Following Radical Prostatectomy and Is Most Prognostic in Gleason Grade Group 2." European urology focus vol. 7,4 (2021): 722-732. doi: https://doi.org/10.1016/j.euf.2021.04.016
Leo P, Chandramouli S, Farré X, Elliott R, Janowczyk A, Bera K, Fu P, Janaki N, El-Fahmawi A, Shahait M, Kim J, Lee D, Yamoah K, Rebbeck TR, Khani F, Robinson BD, Shih NNC, Feldman M, Gupta S, McKenney J, Lal P, Madabhushi A. Computationally Derived Cribriform Area Index from Prostate Cancer Hematoxylin and Eosin Images Is Associated with Biochemical Recurrence Following Radical Prostatectomy and Is Most Prognostic in Gleason Grade Group 2. Eur Urol Focus. 2021 Jul;7(4):722-732. doi: 10.1016/j.euf.2021.04.016. Epub 2021 Apr 30. PMID: 33941504; PMCID: PMC8419103.
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Quality control stress test for deep learning-based diagnostic model in digital pathology.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc

Schömig-Markiefka B, Pryalukhin A, Hulla W, Bychkov A, Fukuoka J, Madabhushi A, Achter V, Nieroda L, Büttner R, Quaas A, Tolkach Y.
PMID: 34168282
Mod Pathol. 2021 Dec;34(12):2098-2108. doi: 10.1038/s41379-021-00859-x. Epub 2021 Jun 24.

Digital pathology provides a possibility for computational analysis of histological slides and automatization of routine pathological tasks. Histological slides are very heterogeneous concerning staining, sections' thickness, and artifacts arising during tissue processing, cutting, staining, and digitization. In this study,...

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Schömig-Markiefka B, Pryalukhin A, Hulla W, et al. Quality control stress test for deep learning-based diagnostic model in digital pathology. Mod Pathol. 2021;34(12):2098-2108doi: 10.1038/s41379-021-00859-x.
Schömig-Markiefka, B., Pryalukhin, A., Hulla, W., Bychkov, A., Fukuoka, J., Madabhushi, A., Achter, V., Nieroda, L., Büttner, R., Quaas, A., & Tolkach, Y. (2021). Quality control stress test for deep learning-based diagnostic model in digital pathology. Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc, 34(12), 2098-2108. https://doi.org/10.1038/s41379-021-00859-x
Schömig-Markiefka, Birgid, et al. "Quality control stress test for deep learning-based diagnostic model in digital pathology." Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc vol. 34,12 (2021): 2098-2108. doi: https://doi.org/10.1038/s41379-021-00859-x
Schömig-Markiefka B, Pryalukhin A, Hulla W, Bychkov A, Fukuoka J, Madabhushi A, Achter V, Nieroda L, Büttner R, Quaas A, Tolkach Y. Quality control stress test for deep learning-based diagnostic model in digital pathology. Mod Pathol. 2021 Dec;34(12):2098-2108. doi: 10.1038/s41379-021-00859-x. Epub 2021 Jun 24. PMID: 34168282; PMCID: PMC8592835.
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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

Sil Kar S, Sevgi DD, Dong V, Srivastava SK, Madabhushi A, Ehlers JP.
PMID: 34350068
IEEE J Transl Eng Health Med. 2021 Jul 12;9:1000113. doi: 10.1109/JTEHM.2021.3096378. eCollection 2021.

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...

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Sil Kar S, Sevgi DD, Dong V, et al. 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 J Transl Eng Health Med. 2021;9:1000113doi: 10.1109/JTEHM.2021.3096378.
Sil Kar, S., Sevgi, D. D., Dong, V., Srivastava, S. K., Madabhushi, A., & Ehlers, J. P. (2021). 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, 91000113. https://doi.org/10.1109/JTEHM.2021.3096378
Sil Kar, Sudeshna, et al. "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 vol. 9 (2021): 1000113. doi: https://doi.org/10.1109/JTEHM.2021.3096378
Sil Kar S, Sevgi DD, Dong V, Srivastava SK, Madabhushi A, Ehlers JP. 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 J Transl Eng Health Med. 2021 Jul 12;9:1000113. doi: 10.1109/JTEHM.2021.3096378. eCollection 2021. PMID: 34350068; PMCID: PMC8328398.
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Quality control stress test for deep learning-based diagnostic model in digital pathology.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc

Schömig-Markiefka B, Pryalukhin A, Hulla W, Bychkov A, Fukuoka J, Madabhushi A, Achter V, Nieroda L, Büttner R, Quaas A, Tolkach Y.
PMID: 34168282
Mod Pathol. 2021 Dec;34(12):2098-2108. doi: 10.1038/s41379-021-00859-x. Epub 2021 Jun 24.

Digital pathology provides a possibility for computational analysis of histological slides and automatization of routine pathological tasks. Histological slides are very heterogeneous concerning staining, sections' thickness, and artifacts arising during tissue processing, cutting, staining, and digitization. In this study,...

Cite
Schömig-Markiefka B, Pryalukhin A, Hulla W, et al. Quality control stress test for deep learning-based diagnostic model in digital pathology. Mod Pathol. 2021;34(12):2098-2108doi: 10.1038/s41379-021-00859-x.
Schömig-Markiefka, B., Pryalukhin, A., Hulla, W., Bychkov, A., Fukuoka, J., Madabhushi, A., Achter, V., Nieroda, L., Büttner, R., Quaas, A., & Tolkach, Y. (2021). Quality control stress test for deep learning-based diagnostic model in digital pathology. Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc, 34(12), 2098-2108. https://doi.org/10.1038/s41379-021-00859-x
Schömig-Markiefka, Birgid, et al. "Quality control stress test for deep learning-based diagnostic model in digital pathology." Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc vol. 34,12 (2021): 2098-2108. doi: https://doi.org/10.1038/s41379-021-00859-x
Schömig-Markiefka B, Pryalukhin A, Hulla W, Bychkov A, Fukuoka J, Madabhushi A, Achter V, Nieroda L, Büttner R, Quaas A, Tolkach Y. Quality control stress test for deep learning-based diagnostic model in digital pathology. Mod Pathol. 2021 Dec;34(12):2098-2108. doi: 10.1038/s41379-021-00859-x. Epub 2021 Jun 24. PMID: 34168282; PMCID: PMC8592835.
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Amyloid Deposition Is Greater in Cerebral Gyri than in Cerebral Sulci with Worsening Clinical Diagnosis Across the Alzheimer's Disease Spectrum.

Journal of Alzheimer's disease : JAD

Walden LM, Hu S, Madabhushi A, Prescott JW.
PMID: 34334397
J Alzheimers Dis. 2021;83(1):423-433. doi: 10.3233/JAD-210308.

BACKGROUND: Histopathologic studies have demonstrated differential amyloid-β (Aβ) burden between cortical sulci and gyri in Alzheimer's disease (AD), with sulci having a greater Aβ burden.OBJECTIVE: To characterize Aβ deposition in the sulci and gyri of the cerebral cortex in...

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Walden LM, Hu S, Madabhushi A, et al. Amyloid Deposition Is Greater in Cerebral Gyri than in Cerebral Sulci with Worsening Clinical Diagnosis Across the Alzheimer's Disease Spectrum. J Alzheimers Dis. 2021;83(1):423-433doi: 10.3233/JAD-210308.
Walden, L. M., Hu, S., Madabhushi, A., Prescott, J. W. (2021). Amyloid Deposition Is Greater in Cerebral Gyri than in Cerebral Sulci with Worsening Clinical Diagnosis Across the Alzheimer's Disease Spectrum. Journal of Alzheimer's disease : JAD, 83(1), 423-433. https://doi.org/10.3233/JAD-210308
Walden, Lucas M, et al. "Amyloid Deposition Is Greater in Cerebral Gyri than in Cerebral Sulci with Worsening Clinical Diagnosis Across the Alzheimer's Disease Spectrum." Journal of Alzheimer's disease : JAD vol. 83,1 (2021): 423-433. doi: https://doi.org/10.3233/JAD-210308
Walden LM, Hu S, Madabhushi A, Prescott JW. Amyloid Deposition Is Greater in Cerebral Gyri than in Cerebral Sulci with Worsening Clinical Diagnosis Across the Alzheimer's Disease Spectrum. J Alzheimers Dis. 2021;83(1):423-433. doi: 10.3233/JAD-210308. PMID: 34334397.
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Showing 1 to 6 of 6 entries