Center for Computational Imaging and Personalized Diagnostics Publications

Monday, May 20, 2019

Computerized histomorphometric features of glandular architecture predict risk of biochemical recurrence following radical prostatectomy: A multisite study.

Leo, P., Janowczyk, A., Elliott, R., Janaki, N., Shiradkar, R., Farr�, X., Yamoah, K., Rebbeck, T., Shih, N., Khani, F., Robinson, B., Eklund, L., Ettala, O., Taimen, P., Boström, P., Feldman, M., Gupta, S., Lal, P., & Madabhushi, A. (2019). Computerized histomorphometric features of glandular architecture predict risk of biochemical recurrence following radical prostatectomy: A multisite study.. Journal of Clinical Oncology, 37 (15_suppl), 5060-5060.

Monday, May 20, 2019

Development and external validation of a deep learning model for predicting response to HER2-targeted neoadjuvant therapy from pretreatment breast MRI.

Vulchi, M., El Adoui, M., Braman, N., Turk, P., Etesami, M., Drisis, S., Plecha, D., Benjelloun, M., Madabhushi, A., & Abraham, J. (2019). Development and external validation of a deep learning model for predicting response to HER2-targeted neoadjuvant therapy from pretreatment breast MRI.. Journal of Clinical Oncology, 37 (15_suppl), 593-593.

Monday, May 20, 2019

Association of radiomic features from prostate bi-parametric MRI with Decipher risk categories to predict risk for biochemical recurrence post-prostatectomy.

Li, L., Shiradkar, R., Leo, P., Purysko, A., Algohary, A., Klein, E., Magi-Galluzzi, C., & Madabhushi, A. (2019). Association of radiomic features from prostate bi-parametric MRI with Decipher risk categories to predict risk for biochemical recurrence post-prostatectomy.. Journal of Clinical Oncology, 37 (15_suppl), e16561-e16561.

Monday, May 20, 2019

Intra and perinodular CT delta radiomic features associated with early response to predict overall survival (OS) in immunotherapy-treated non-small cell lung cancer (NSCLC): A multisite multi-agent study.

Prasanna, P., Khorrami, M., Gupta, A., Patil, P., Khunger, M., Velu, P., Bera, K., Alilou, M., Velcheti, V., & Madabhushi, A. (2019). Intra and perinodular CT delta radiomic features associated with early response to predict overall survival (OS) in immunotherapy-treated non-small cell lung cancer (NSCLC): A multisite multi-agent study.. Journal of Clinical Oncology, 37 (15_suppl), 2588-2588.

Wednesday, May 15, 2019

Phenotyping tumor infiltrating lymphocytes (PhenoTIL) on H&E tissue images: predicting recurrence in lung cancer

Barrera, C., Corredor, G., WAng, X., Schalper, K., Rimm, D., Velcheti, V., Madabhushi, A., & Romero Castro, E. (2019). Phenotyping tumor infiltrating lymphocytes (PhenoTIL) on H&E tissue images: predicting recurrence in lung cancer. Medical Imaging: Digital Pathology.

Tuesday, May 7, 2019

Radiomics-based convolutional neural network for brain tumor segmentation on multiparametric magnetic resonance imaging

Prasanna, P., Karnawat, A., Ismail, M., & Madabhushi, A. (2019). Radiomics-based convolutional neural network for brain tumor segmentation on multiparametric magnetic resonance imaging. Journal of Medical Imaging, 6 (02).

Friday, April 19, 2019

Association of Peritumoral Radiomics With Tumor Biology and Pathologic Response to Preoperative Targeted Therapy for HER2 (ERBB2) �Positive Breast Cancer

Braman, N., Prasanna, P., Whitney, J., Singh, S., Beig, N., Etesami, M., Bates, D., Gallagher, K., Bloch, B., Vulchi, M., Turk, P., Bera, K., Abraham, J., Sikov, W., Somlo, G., Harris, L., Gilmore, H., Plecha, D., Varadan, V., & Madabhushi, A. (2019). Association of Peritumoral Radiomics With Tumor Biology and Pathologic Response to Preoperative Targeted Therapy for HER2 (ERBB2) �Positive Breast Cancer. JAMA Network Open, 2 (4), e192561.

Monday, April 1, 2019

HistoQC: An Open-Source Quality Control Tool for Digital Pathology Slides

Janowczyk, A., Zuo, R., Gilmore, H., Feldman, M., & Madabhushi, A. (2019). HistoQC: An Open-Source Quality Control Tool for Digital Pathology Slides. JCO Clinical Cancer Informatics.

Monday, April 1, 2019

MP28-04 CORRELATION BETWEEN MRI PHENOTYPES AND A GENOMIC CLASSIFIER OF PROSTATE CANCER

Purysko, A., Magi-Galluzzi, C., Mian, O., Davicioni, E., Plessis, M., Buerki, C., Bullen, J., Li, L., Madabhushi, A., Stephenson, A., & Klein, E. (2019). MP28-04 CORRELATION BETWEEN MRI PHENOTYPES AND A GENOMIC CLASSIFIER OF PROSTATE CANCER. The Journal of Urology, 201 (Supplement 4).

Friday, March 15, 2019

Spatial arrangement of leakage patterns in diabetic macular edema is associated with tolerance of aflibercept treatment interval length: preliminary findings

Prasanna, P., Ehlers, J., Bobba, V., Figueredo, N., Lu, C., Sharma, S., Srivastava, S., & Madabhushi, A. (2019). Spatial arrangement of leakage patterns in diabetic macular edema is associated with tolerance of aflibercept treatment interval length: preliminary findings. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging.

Friday, March 15, 2019

Morphology of vascular network in eyes with diabetic macular edema varies based on tolerance of aflibercept treatment interval length: preliminary findings

Prasanna, P., Ehlers, J., Braman, N., Figueredo, N., Bobba, V., Sharma, S., Srivastava, S., & Madabhushi, A. (2019). Morphology of vascular network in eyes with diabetic macular edema varies based on tolerance of aflibercept treatment interval length: preliminary findings. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging.

Wednesday, March 13, 2019

Radiomic features derived from pre-operative multi-parametric MRI of prostate cancer are associated with Decipher risk score

Li, L., Shiradkar, R., Algohary, A., Magi-Galluzzi, C., Klein, E., Purysko, A., Madabhushi, A., & Leo, P. (2019). Radiomic features derived from pre-operative multi-parametric MRI of prostate cancer are associated with Decipher risk score. Medical Imaging: Computer-Aided Diagnosis.

Wednesday, March 13, 2019

Quantitative vessel tortuosity radiomics on baseline non-contrast lung CT predict response to immunotherapy and are prognostic of overall survival

Alilou, M., Bera, K., Vaidya, P., Zagouras, A., Patil, P., Khorrami, M., Fu, P., Velcheti, V., & Madabhushi, A. (2019). Quantitative vessel tortuosity radiomics on baseline non-contrast lung CT predict response to immunotherapy and are prognostic of overall survival. Medical Imaging: Computer-Aided Diagnosis.

Wednesday, March 13, 2019

Radiomics of the lesion habitat on pre-treatment MRI predicts response to chemo-radiation therapy in Glioblastoma

Correa, R., Beig, N., Madabhushi, A., Tiwari, P., Hill, V., Mahammedi, A., & Verma, R. (2019). Radiomics of the lesion habitat on pre-treatment MRI predicts response to chemo-radiation therapy in Glioblastoma. Medical Imaging: Computer-Aided Diagnosis.

Wednesday, March 13, 2019

A combination of intra- and peritumoral features on baseline CT scans is associated with overall survival in non-small cell lung cancer patients treated with immune checkpoint inhibitors: a multi-agent multi-site study

Patil, P., Bera, K., Velu, P., Khorrami, M., Prasanna, P., Velcheti, V., Madabhushi, A., Alilou, M., & Fu, P. (2019). A combination of intra- and peritumoral features on baseline CT scans is associated with overall survival in non-small cell lung cancer patients treated with immune checkpoint inhibitors: a multi-agent multi-site study. Medical Imaging: Computer-Aided Diagnosis.

Wednesday, March 13, 2019

Radiogenomic characterization of response to chemo-radiation therapy in glioblastoma is associated with PI3K/AKT/mTOR and apoptosis signaling pathways

Beig, N., Hill, V., Verma, R., Varadan, V., Madabhushi, A., Tiwari, P., & Prasanna, P. (2019). Radiogenomic characterization of response to chemo-radiation therapy in glioblastoma is associated with PI3K/AKT/mTOR and apoptosis signaling pathways. Medical Imaging: Computer-Aided Diagnosis.

Wednesday, March 13, 2019

Deformation heterogeneity radiomics to predict molecular subtypes of pediatric Medulloblastoma on routine MRI

Iyer, S., Ismail, M., Tamrazi, B., Margol, A., Verma, R., Correa, R., Prasanna, P., Beig, N., Bera, K., Statsevych, V., Judkins, A., Madabhushi, A., & Tiwari, P. (2019). Deformation heterogeneity radiomics to predict molecular subtypes of pediatric Medulloblastoma on routine MRI. Medical Imaging: Computer-Aided Diagnosis.

Friday, March 8, 2019

Integrating radiomic features from T2-weighted and contrast-enhanced MRI to evaluate pathologic rectal tumor regression after chemoradiation

Nanda, S., Antunes, J., Selvam, A., Bera, K., Brady, J., Gollamudi, J., Friedman, K., Willis, J., Delaney, C., Paspulati, R., Madabhushi, A., & Viswanath, S. E. (2019). Integrating radiomic features from T2-weighted and contrast-enhanced MRI to evaluate pathologic rectal tumor regression after chemoradiation. Medical Imaging: Image-Guided Procedures, Robotic Interventions, and Modeling.

Friday, March 8, 2019

Radiomic characterization of perirectal fat on MRI enables accurate assessment of tumor regression and lymph node metastasis in rectal cancers after chemoradiation

Yim, M., Wei, Z., Antunes, J., Sehgal, N., Bera, K., Brady, J., Friedman, K., Willis, J., Purysko, A., Paspulati, R., Madabhushi, A., & Viswanath, S. E. (2019). Radiomic characterization of perirectal fat on MRI enables accurate assessment of tumor regression and lymph node metastasis in rectal cancers after chemoradiation. Medical Imaging: Image-Guided Procedures, Robotic Interventions, and Modeling.

Thursday, March 7, 2019

Correlation between MRI phenotypes and a genomic classifier of prostate cancer: preliminary findings

Purysko, A., Magi-Galluzzi, C., Mian, O., Sittenfeld, S., Davicioni, E., Du Plessis, M., Buerki, C., Bullen, J., Li, L., Madabhushi, A., Stephenson, A., & Klein, E. (2019). Correlation between MRI phenotypes and a genomic classifier of prostate cancer: preliminary findings. European Radiology, 29 (9), 4861-4870.

Friday, March 1, 2019

Combination of Peri- and Intratumoral Radiomic Features on Baseline CT Scans Predicts Response to Chemotherapy in Lung Adenocarcinoma

Khorrami, M., Khunger, M., Zagouras, A., Patil, P., Thawani, R., Bera, K., Rajiah, P., Fu, P., Velcheti, V., & Madabhushi, A. (2019). Combination of Peri- and Intratumoral Radiomic Features on Baseline CT Scans Predicts Response to Chemotherapy in Lung Adenocarcinoma. Radiology: Artificial Intelligence, 1 (2).

Friday, March 1, 2019

Perinodular and Intranodular Radiomic Features on Lung CT Images Distinguish Adenocarcinomas from Granulomas

Beig, N., Khorrami, M., Alilou, M., Prasanna, P., Braman, N., Orooji, M., Rakshit, S., Bera, K., Rajiah, P., Ginsberg, J., Donatelli, C., Thawani, R., Yang, M., Jacono, F., Tiwari, P., Velcheti, V., Gilkeson, R., Linden, P., & Madabhushi, A. (2019). Perinodular and Intranodular Radiomic Features on Lung CT Images Distinguish Adenocarcinomas from Granulomas. Radiology, 290 (3), 783-792.

Friday, March 1, 2019

Spatial Architecture and Arrangement of Tumor-Infiltrating Lymphocytes for Predicting Likelihood of Recurrence in Early-Stage Non�Small Cell Lung Cancer

Corredor, G., WAng, X., Zhou, Y., Lu, C., Fu, P., Syrigos, K., Rimm, D., Yang, M., Romero, E., Schalper, K., Velcheti, V., & Madabhushi, A. (2019). Spatial Architecture and Arrangement of Tumor-Infiltrating Lymphocytes for Predicting Likelihood of Recurrence in Early-Stage Non�Small Cell Lung Cancer. Clinical Cancer Research, 25 (5), 1526-1534.

Friday, February 8, 2019

Convolutional neural network initialized active contour model with adaptive ellipse fitting for nuclear segmentation on breast histopathological images

Xue, Z., Gong, L., Wang, G., Lu, C., Gilmore, H., Zhang, S., & Madabhushi, A. (2019). Convolutional neural network initialized active contour model with adaptive ellipse fitting for nuclear segmentation on breast histopathological images. Journal of Medical Imaging, 6 (01).

Thursday, February 7, 2019

Disorder in Pixel-Level Edge Directions on T1WI Is Associated with the Degree of Radiation Necrosis in Primary and Metastatic Brain Tumors: Preliminary Findings

Prasanna, P., Rogers, L., Lam, T., Cohen, M., Siddalingappa, A., Wolansky, L., Pinho, M., Gupta, A., Hatanpaa, K., Madabhushi, A., & Tiwari, P. (2019). Disorder in Pixel-Level Edge Directions on T1WI Is Associated with the Degree of Radiation Necrosis in Primary and Metastatic Brain Tumors: Preliminary Findings. American Journal of Neuroradiology.