Characterizing primary refractory neuroblastoma

Prediction of outcome by microscopic image analysis

M. Khalid Khan Niazi, Daniel A. Weiser, Bruce R. Pawel, Metin N. Gurcan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Neuroblastoma is a childhood cancer that starts in very early forms of nerve cells found in an embryo or fetus. It is a highly lethal cancer of sympathetic nervous system that commonly affects children of age five or younger. It accounts for a disproportionate number of childhood cancer deaths and remains a difficult cancer to eradicate despite intensive treatment that includes chemotherapy, surgery, hematopoietic stem cell transplantation, radiation therapy and immunotherapy. A poorly characterized group of patients are the 15% with primary refractory neuroblastoma (PRN) which is uniformly lethal due to de novo chemotherapy resistance. The lack of response to therapy is currently assessed after multiple months of cytotoxic therapy, driving the critical need to develop pretreatment clinic-biological biomarkers that can guide precise and effective therapeutic strategies. Therefore, our guiding hypothesis is that PRN has distinct biological features present at diagnosis that can be identified for prediction modeling. During a visual analysis of PRN slides, stained with hematoxylin and eosin, we observed that patients who survived for less than three years contained large eosin-stained structures as compared to those who survived for greater than three years. So, our hypothesis is that the size of eosin stained structures can be used as a differentiating feature to characterize recurrence in neuroblastoma. To test this hypothesis, we developed an image analysis method that performs stain separation, followed by the detection of large structures stained with Eosin. On a set of 21 PRN slides, stained with hematoxylin and eosin, our image analysis method predicted the outcome with 85.7% accuracy.

Original languageEnglish (US)
Title of host publicationProgress in Biomedical Optics and Imaging - Proceedings of SPIE
PublisherSPIE
Volume9420
ISBN (Print)9781628415100
DOIs
StatePublished - 2015
EventMedical Imaging 2015: Digital Pathology - Orlando, United States
Duration: Feb 25 2015Feb 26 2015

Other

OtherMedical Imaging 2015: Digital Pathology
CountryUnited States
CityOrlando
Period2/25/152/26/15

Fingerprint

refractories
Eosine Yellowish-(YS)
Neuroblastoma
image analysis
Refractory materials
Image analysis
cancer
Chemotherapy
chemotherapy
predictions
chutes
sympathetic nervous system
therapy
Hematoxylin
transplantation
stem cells
biomarkers
embryos
Neoplasms
fetuses

Keywords

  • Filtering
  • Image segmentation
  • Outcome prediction
  • Refractory neuroblastoma
  • Stroma
  • Texture analysis

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

Cite this

Niazi, M. K. K., Weiser, D. A., Pawel, B. R., & Gurcan, M. N. (2015). Characterizing primary refractory neuroblastoma: Prediction of outcome by microscopic image analysis. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE (Vol. 9420). [942008] SPIE. https://doi.org/10.1117/12.2082095

Characterizing primary refractory neuroblastoma : Prediction of outcome by microscopic image analysis. / Niazi, M. Khalid Khan; Weiser, Daniel A.; Pawel, Bruce R.; Gurcan, Metin N.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 9420 SPIE, 2015. 942008.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Niazi, MKK, Weiser, DA, Pawel, BR & Gurcan, MN 2015, Characterizing primary refractory neuroblastoma: Prediction of outcome by microscopic image analysis. in Progress in Biomedical Optics and Imaging - Proceedings of SPIE. vol. 9420, 942008, SPIE, Medical Imaging 2015: Digital Pathology, Orlando, United States, 2/25/15. https://doi.org/10.1117/12.2082095
Niazi MKK, Weiser DA, Pawel BR, Gurcan MN. Characterizing primary refractory neuroblastoma: Prediction of outcome by microscopic image analysis. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 9420. SPIE. 2015. 942008 https://doi.org/10.1117/12.2082095
Niazi, M. Khalid Khan ; Weiser, Daniel A. ; Pawel, Bruce R. ; Gurcan, Metin N. / Characterizing primary refractory neuroblastoma : Prediction of outcome by microscopic image analysis. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 9420 SPIE, 2015.
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