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2015 (16)
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18 research data, page 1 of 2

Data From RIDER_Breast_MRI

Meyer, Charles R; Chenevert, Thomas L; Galbán, Craig J; Johnson, Timothy D; Hamstra, Daniel A; Rehemtulla, Alnawaz; Ross, Brian D (2015)
Publisher: The Cancer Imaging Archive
Ideally a patient’s response to neoadjuvant chemotherapy could be observed noninvasively, in the first 2-3 weeks of treatment using an imaging to provide feedback related to the effectiveness of the chosen chemotherapy regimen. This capability would permit individuation of patient care by supporting the opportunity to tailor chemotherapy to a each patient’s response. Functional diffusion mapping (fDM), now called Parametric Response Mapping (PRM) has been proposed as an MRI imaging biomarker ...

Data From QIN_PET_Phantom

Beichel, Reinhard R.; Ulrich, Ethan J.; Bauer, Christian; Byrd, Darrin W.; Muzi, John P.; Muzi, Mark; Kinahan, Paul E.; Sunderland, John J.; Graham, Michael M.; Buatti, John M. (2015)
Publisher: The Cancer Imaging Archive
This collection consists of positron emission tomography (PET) phantom scans originally utilized by the Quantitative Imaging Network (QIN) PET Segmentation Challenge to assess the variability of segmentations and subsequently derived quantitative analysis results on phantom PET scans with known ground truth. The phantom was provided by Dr. Sunderland at the University of Iowa (supported by grant R01CA169072 - Harmonized PET Reconstructions for Cancer Clinical Trials) and is based on the NEMA ...

Data From Head-Neck_Cetuximab

Bosch, Walter R.; Straube, William L.; Matthews, John W.; Purdy, James A. (2015)
Publisher: The Cancer Imaging Archive
This collection combines advanced molecular imaging treatment response assessment through pre- and post-treatment FDG PET/CT scans with therapy of advanced head and neck cancer, including chemo-radiation therapy with and without addition of an EGFR inhibitor molecular targeted agent (Cetuximab). The Head-Neck Cetuximab collection consists of a subset of image data from RTOG 0522/ACRIN 4500, which was randomized phase III Trial of Radiation Therapy and Chemotherapy for stage III and IV Head a...

Data from: Quantitative computed tomographic descriptors associate tumor shape complexity and intratumor heterogeneity with prognosis in lung adenocarcinoma

Grove, Olya; Berglund, Anders E.; Schabath, Matthew B.; Aerts, Hugo J.W.L.; Dekker, Andre; Wang, Hua; Velazquez, Emmanuel Rios; Lambin, Philippe; Gu, Yuhua; Balagurunathan, Yoganand; Eikman, Edward; Gatenby, Robert A.; Eschrich, Steven; Gillies, Robert J. (2015)
Publisher: The Cancer Imaging Archive


Scarpace, Lisa; Flanders, Adam E.; Jain, Rajan; Mikkelsen, Tom; Andrews, David W. (2015)
Publisher: The Cancer Imaging Archive
Finding better therapies for the treatment of brain tumors is hampered by the lack of consistently obtained molecular data in a large sample set and the ability to integrate biomedical data from disparate sources enabling translation of therapies from bench to bedside. Hence, a critical factor in the advancement of biomedical research and clinical translation is the ease with which data can be integrated, redistributed, and analyzed both within and across functional domains. Novel biomedical ...

Data From RIDER Lung PET-CT

Muzi, Peter; Wanner, Michelle; Kinahan, Paul (2015)
Publisher: The Cancer Imaging Archive
The RIDER Lung PET-CT collection was shared to facilitate the RIDER PET/CT subgroup activities. The PET/CT subgroup was responsible for: (1) archiving de-identified DICOM serial PET/CT phantom and lung cancer patient data in a public database to provide a resource for the testing and development of algorithms and imaging tools used for assessing response to therapy, (2) conducting multiple serial imaging studies of a long half-life phantom to assess systemic variance in serial PET/CT scans th...


Barboriak, Daniel (2015)
Publisher: The Cancer Imaging Archive
RIDER Neuro MRI contains imaging data on 19 patients with recurrent glioblastoma who underwent repeat imaging sets. These images were obtained approximately 2 days apart (with the exception of one patient, RIDER Neuro MRI-1086100996, whose images were obtained one day apart). DCE‐MRI: All 19 patients had repeat dynamic contrast‐enhanced MRI (DCE‐MRI) datasets on the same 1.5T imaging magnet. On the basis of T2‐weighted images, technologists chose 16 image locations using 5mm thick conti...

Curated Breast Imaging Subset of DDSM

Sawyer-Lee, Rebecca; Gimenez, Francisco; Hoogi, Assaf; Rubin, Daniel (2016)
Publisher: The Cancer Imaging Archive
This CBIS-DDSM (Curated Breast Imaging Subset of DDSM) is an updated and standardized version of the Digital Database for Screening Mammography (DDSM). The DDSM is a database of 2,620 scanned film mammography studies. It contains normal, benign, and malignant cases with verified pathology information. The scale of the database along with ground truth validation makes the DDSM a useful tool in the development and testing of decision support systems. The CBIS-DDSM collection includes a subset ...

Data From RIDER_Lung CT

Zhao, Binsheng; Schwartz, Lawrence H; Kris, Mark G (2015)
Publisher: The Cancer Imaging Archive
The RIDER Lung CT collection was constructed as part of a study to evaluate the variability of tumor unidimensional, bidimensional, and volumetric measurements on same-day repeat computed tomographic (CT) scans in patients with non–small cell lung cancer. Thirty-two patients with non–small cell lung cancer, each of whom underwent two CT scans of the chest within 15 minutes by using the same imaging protocol, were included in this study. Three radiologists independently measured the two greate...

SPIE-AAPM-NCI Lung Nodule Classification Challenge Dataset

Armato III, Samuel G.; Hadjiiski, Lubomir; Tourassi, Georgia D.; Drukker, Karen; Giger, Maryellen L.; Li, Feng; Redmond, George; Farahani, Keyvan; Kirby, Justin S.; Clarke, Laurence P. (2015)
Publisher: The Cancer Imaging Archive