-- DBMS: snowflake
create or replace TABLE ANALYSIS_RESULTS_METADATA (
	ID VARCHAR(16777216),
	"Title" VARCHAR(16777216),
	"Access" VARCHAR(16777216),
	DOI VARCHAR(16777216),
	"CancerType" VARCHAR(16777216),
	"Location" VARCHAR(16777216),
	"Subjects" NUMBER(38,0),
	"Collections" VARCHAR(16777216),
	"AnalysisArtifacts" VARCHAR(16777216),
	"Updated" DATE,
	"license_url" VARCHAR(16777216),
	"license_long_name" VARCHAR(16777216),
	"license_short_name" VARCHAR(16777216),
	"Description" VARCHAR(16777216),
	"AnalysisArtifactsonTCIA" VARCHAR(16777216)
);

INSERT INTO "IDC"."IDC_V17"."ANALYSIS_RESULTS_METADATA" (CancerType, Updated, AnalysisArtifacts, license_long_name, Subjects, license_url, DOI, Access, Collections, license_short_name, ID, Title, AnalysisArtifactsonTCIA, Description, Location) VALUES ('Lung', '2018-12-18', 'Tumor segmentations', 'Creative Commons Attribution 3.0 Unported License', 31, 'https://creativecommons.org/licenses/by/3.0/', '10.7937/k9/tcia.2015.1buvfjr7', 'Public', 'lidc_idri,lung_phantom,qin_lung_ct,rider_lung_ct', 'CC BY 3.0', 'QIN-LungCT-Seg', 'QIN multi-site collection of Lung CT data with Nodule Segmentations', 'Tumor segmentations', '<p> This collection contains lung nodule segmentations obtained using segmentation tools that participated in the QIN challenge “moist run” initiative.</p> 
<p>  Please see the <a class="external-link" href="" url="https://doi.org/10.7937/K9/TCIA.2015.1BUVFJR7" data-toggle="modal" data-target="#external-web-warning">QIN-LungCT-Seg <i class="fa-solid fa-external-link external-link-icon" aria-hidden="true"></i></a> wiki page to learn more about the images and to obtain any supporting metadata for this collection.</p>', 'Chest'), ('Breast', '2020-05-28', 'DICOM SR descriptions of patient characteristics, histopathology, receptor status and clinical findings including measurements.', 'Creative Commons Attribution 3.0 Unported License', 474, 'https://creativecommons.org/licenses/by/3.0/', '10.7937/tcia.2019.wgllssg1', 'Public', 'breast_diagnosis,breast_mri_nact_pilot,ispy1,tcga_brca', 'CC BY 3.0', 'DICOM-SR-Breast-Clinical', 'DICOM SR of clinical data and measurement for breast cancer collections to TCIA', 'DICOM SR descriptions of patient characteristics, histopathology, receptor status and clinical findings including measurements.', '<p> This collection contains clinical metadata corresponding to several breast imaging collections harmonized into DICOM SR representation, generated by the Data Integration & Imaging Informatics (DI-Cubed) project.</p> 
<p>  Please see the <a class="external-link" href="" url="https://doi.org/10.7937/TCIA.2019.wgllssg1" data-toggle="modal" data-target="#external-web-warning">DICOM-SR-Breast-Clinical <i class="fa-solid fa-external-link external-link-icon" aria-hidden="true"></i></a> wiki page to learn more about the images and to obtain any supporting metadata for this collection.</p>', 'Breast'), ('Prostate', '2020-11-30', 'Organ Segmentations', 'Creative Commons Attribution 3.0 Unported License', 98, 'https://creativecommons.org/licenses/by/3.0/', '10.7937/tcia.nbb4-4655', 'Public', 'prostatex', 'CC BY 3.0', 'PROSTATEx-Seg-Zones', 'PROSTATEx Zone Segmentations', 'Organ Segmentations', '<p> This collection contains prostate’s CNN-based automatic zonal segmentation for 98 cases randomly selected from the SPIE-AAPM-NCI PROSTATEx Challenges (PROSTATEx). The four-class segmentation encompasses the peripheral zone, transition zone, fibromuscular stroma and the distal prostatic urethra.</p> 
<p>  Please see the <a class="external-link" href="" url="https://doi.org/10.7937/tcia.nbb4-4655" data-toggle="modal" data-target="#external-web-warning">PROSTATEx-Seg-Zones <i class="fa-solid fa-external-link external-link-icon" aria-hidden="true"></i></a> wiki page to learn more about the images and to obtain any supporting metadata for this collection.</p>', 'Prostate'), ('Prostate', '2020-09-22', 'Organ segmentations', 'Creative Commons Attribution 3.0 Unported License', 66, 'https://creativecommons.org/licenses/by/3.0/', '10.7937/tcia.2019.deg7zg1u', 'Public', 'prostatex', 'CC BY 3.0', 'PROSTATEx-Seg-HiRes', 'High Resolution Prostate Segmentations for the ProstateX-Challenge', 'Organ segmentations', '<p> This collection contains 66 high resolution automatic CNN-based segmentations of the prostate gland for randomly chosen T2-weighted volumes of the SPIE-AAPM-NCI PROSTATEx Challenges (PROSTATEx).</p> 
<p>  Please see the <a class="external-link" href="" url="https://doi.org/10.7937/TCIA.2019.DEG7ZG1U" data-toggle="modal" data-target="#external-web-warning">PROSTATEx-Seg-HiRes <i class="fa-solid fa-external-link external-link-icon" aria-hidden="true"></i></a> wiki page to learn more about the images and to obtain any supporting metadata for this collection.</p>', 'Prostate'), ('Lung', '2020-02-13', 'Tumor segmentations', 'Creative Commons Attribution 3.0 Unported License', 31, 'https://creativecommons.org/licenses/by/3.0/', '10.7937/tcia.2020.jit9grk8', 'Public', 'rider_lung_ct', 'CC BY 3.0', 'RIDER-LungCT-Seg', 'RIDER Lung CT Segmentation Labels from: Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach', 'Tumor segmentations', '<p> This collection contains manual and automatic segmentations of the gross tumor volume for the RIDER Lung CT collection.</p> 
<p>  Please see the <a class="external-link" href="" url="https://doi.org/10.7937/tcia.2020.jit9grk8" data-toggle="modal" data-target="#external-web-warning">RIDER-LungCT-Seg <i class="fa-solid fa-external-link external-link-icon" aria-hidden="true"></i></a> wiki page to learn more about the images and to obtain any supporting metadata for this collection.</p>', 'Chest');