CANTO-RT: One of the Largest Prospective Multicenter Cohort of Early Breast Cancer Patients Treated with Radiotherapy including Full DICOM RT Data Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.3390/cancers15030751
This article describes the methodology used and provides a characterization of the study population in CANTO-RT (CANcer TOxicities RadioTherapy). CANTO (NCT01993498) is a prospective clinical cohort study including patients with stage I-III BC from 26 French cancer centers. Patients matching all CANTO inclusion and exclusion criteria who received RT in one of the 10 top recruiting CANTO centers were selected. Individual full DICOM RT files were collected, pseudo-anonymized, structured and analyzed on the CANTO-RT/UNITRAD web platform. CANTO-RT included 3875 BC patients with a median follow-up of 64 months. Among the 3797 patients with unilateral RT, 3065 (80.4%) had breast-conserving surgery, and 2712 (71.5%) had sentinel node surgery. Tumor bed boost was delivered in 2658 patients (68.5%) and lymph node RT in 1356 patients (35%), including internal mammary chain in 844 patients (21.8%). Most patients (3691 (95.3%)) were treated with 3D conformal RT. Target volumes, organs at risk contours and dose/volume histograms were extracted after quality-control procedures. CANTO-RT is one of the largest early BC prospective cohorts with full individual clinical, biological, imaging and DICOM RT data available. It is a valuable resource for the identification and validation of clinical and dosimetric predictive factors of RT and multimodal treatment-related toxicities.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/cancers15030751
- https://www.mdpi.com/2072-6694/15/3/751/pdf?version=1675686391
- OA Status
- gold
- Cited By
- 12
- References
- 29
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4318054857
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4318054857Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/cancers15030751Digital Object Identifier
- Title
-
CANTO-RT: One of the Largest Prospective Multicenter Cohort of Early Breast Cancer Patients Treated with Radiotherapy including Full DICOM RT DataWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-01-25Full publication date if available
- Authors
-
Thomas Sarrade, Rodrigue S. Allodji, Youssef Ghannam, Guillaume Auzac, Sibille Everhard, Youlia Kirova, Karine Peignaux, Philippe Guilbert, Dominique Pasquier, S. Racadot, C. Bourgier, Sandrine Ducornet, Fabrice André, Florent de Vathaire, Sofía RiveraList of authors in order
- Landing page
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https://doi.org/10.3390/cancers15030751Publisher landing page
- PDF URL
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https://www.mdpi.com/2072-6694/15/3/751/pdf?version=1675686391Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://www.mdpi.com/2072-6694/15/3/751/pdf?version=1675686391Direct OA link when available
- Concepts
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Medicine, Breast cancer, Prospective cohort study, Cohort, Radiation therapy, DICOM, Sentinel node, Cancer, Radiology, Internal medicineTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
12Total citation count in OpenAlex
- Citations by year (recent)
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2025: 3, 2024: 5, 2023: 4Per-year citation counts (last 5 years)
- References (count)
-
29Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.patients | 28, 80, 91, 114, 122, 130, 133 |
| abstract_inverted_index.provides | 7 |
| abstract_inverted_index.received | 47 |
| abstract_inverted_index.resource | 181 |
| abstract_inverted_index.sentinel | 104 |
| abstract_inverted_index.surgery, | 99 |
| abstract_inverted_index.surgery. | 106 |
| abstract_inverted_index.valuable | 180 |
| abstract_inverted_index.volumes, | 143 |
| abstract_inverted_index.clinical, | 169 |
| abstract_inverted_index.conformal | 140 |
| abstract_inverted_index.delivered | 111 |
| abstract_inverted_index.describes | 2 |
| abstract_inverted_index.exclusion | 44 |
| abstract_inverted_index.extracted | 152 |
| abstract_inverted_index.follow-up | 84 |
| abstract_inverted_index.including | 27, 124 |
| abstract_inverted_index.inclusion | 42 |
| abstract_inverted_index.platform. | 75 |
| abstract_inverted_index.selected. | 59 |
| abstract_inverted_index.Individual | 60 |
| abstract_inverted_index.TOxicities | 17 |
| abstract_inverted_index.available. | 176 |
| abstract_inverted_index.collected, | 66 |
| abstract_inverted_index.dosimetric | 190 |
| abstract_inverted_index.histograms | 150 |
| abstract_inverted_index.individual | 168 |
| abstract_inverted_index.multimodal | 196 |
| abstract_inverted_index.population | 13 |
| abstract_inverted_index.predictive | 191 |
| abstract_inverted_index.recruiting | 55 |
| abstract_inverted_index.structured | 68 |
| abstract_inverted_index.unilateral | 93 |
| abstract_inverted_index.validation | 186 |
| abstract_inverted_index.biological, | 170 |
| abstract_inverted_index.dose/volume | 149 |
| abstract_inverted_index.methodology | 4 |
| abstract_inverted_index.procedures. | 155 |
| abstract_inverted_index.prospective | 23, 164 |
| abstract_inverted_index.toxicities. | 198 |
| abstract_inverted_index.(NCT01993498) | 20 |
| abstract_inverted_index.RadioTherapy). | 18 |
| abstract_inverted_index.identification | 184 |
| abstract_inverted_index.quality-control | 154 |
| abstract_inverted_index.CANTO-RT/UNITRAD | 73 |
| abstract_inverted_index.characterization | 9 |
| abstract_inverted_index.breast-conserving | 98 |
| abstract_inverted_index.treatment-related | 197 |
| abstract_inverted_index.pseudo-anonymized, | 67 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 97 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 15 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/10 |
| sustainable_development_goals[0].score | 0.7099999785423279 |
| sustainable_development_goals[0].display_name | Reduced inequalities |
| citation_normalized_percentile.value | 0.92191482 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |