Application of CT-Linac-Based "All-in-One" One-Stop Radiotherapy in Breast Cancer
Application of CT-Linac-Based "All-in-One" One-Stop Radiotherapy in All-Scenario Breast Cancer Radiotherapy: A Prospective Clinical Study
Studie Overzicht
Toestand
Toestand
Conditie
Conditie
Interventie / Behandeling
Interventie / Behandeling
Studietype
Studietype
Inschrijving (Geschat)
Inschrijving
Fase
Fase
- Niet toepasbaar
Contacten en locaties
Studiecontact
Studiecontact
- Naam: Xiaoli Yu, MD, PhD
- Telefoonnummer: +86-021-64175590
- E-mail: xiaoliyu@fudan.edu.cn
Studie Contact Back-up
- Naam: Xiaofang Wang, MD, PhD
- Telefoonnummer: +86 18017317247
- E-mail: xiaofang0708@yeah.net
Studie Locaties
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Shanghai Municipality
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Shanghai, Shanghai Municipality, China, 200032
- Werving
- Fudan University Shanghai Cancer Center
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Contact:
- Xiaofang Wang Wang
- Telefoonnummer: +86 18017317247
- E-mail: xiaofang0708@yeah.net
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Deelname Criteria
Geschiktheidscriteria
Geschiktheidscriteria
Leeftijden die in aanmerking komen voor studie
- Volwassen
- Oudere volwassene
Accepteert gezonde vrijwilligers
Beschrijving
Inclusion Criteria:
- Histologically or pathologically confirmed breast cancer with definitive indications for radiotherapy (preoperative, postoperative, or radical)
- ECOG performance status of 0-2
- Able to remain still and supine on the treatment couch for up to 30 minutes
- Provision of signed, written informed consent
- Able to comply with daily follow-ups and blood sample collections
Exclusion Criteria:
- Palliative radiotherapy for concurrent distant metastasis
- Incomplete or ongoing chemotherapy
- Synchronous multiple primary tumors
- Current pregnancy or lactation
- Prior history of radiotherapy to the ipsilateral breast, chest wall, thorax, or regional lymph nodes
- Severe non-malignant comorbidities (e.g., cardiovascular or pulmonary diseases, systemic lupus erythematosus, scleroderma) resulting in a short life expectancy or inability to tolerate radical radiotherapy
- Inability or unlikelihood to comply with study follow-up
- Inability or unwillingness to provide written informed consent
Studie plan
Hoe is de studie opgezet?
Ontwerpdetails
- Primair doel: Ander
- Toewijzing: Niet-gerandomiseerd
- Interventioneel model: Sequentiële toewijzing
- Masker: Geen (open label)
Aantal wapens
Wapens en interventies
Deelnemersgroep / ArmDeelnemersgroep / Arm |
Interventie / BehandelingInterventie / Behandeling |
|---|---|
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Ander: ARM1: AI-empowered AIO WBI
Evaluates the feasibility, safety, and patient experiences of the AI-empowered AIO workflow in breast cancer patients undergoing whole-breast irradiation (WBI) without regional nodal involvement.
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The workflow relies on specialized convolutional neural networks for automated segmentation and dose-prediction auto-planning.
These breast cancer models were trained on 285 historical institutional cases spanning radical mastectomy and breast-conserving surgery over five years.
Auto-delineated structures include the clinical target volume, regional lymph nodes (if involved), tumor bed (identified by surgical clips), heart, bilateral lungs, unaffected breast, spinal cord, esophagus, thyroid, and affected humeral head.
These contours guide dose prediction to generate deliverable tangential arc plans via clinical-goal-guided automated optimization in the treatment planning system.
To adapt to the on-couch treatment scenario, models were validated on retrospective data and offline routines to maximize target delineation accuracy and the first-approval rate of auto-plans.
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Ander: ARM2: Expanded-Scenario AIO RT
Evaluates the feasibility, safety, and patient experiences of the AI-empowered AIO workflow in breast cancer patients with broader radiotherapy indications, including breast/chest wall irradiation with or without regional nodal radiotherapy.
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The workflow relies on specialized convolutional neural networks for automated segmentation and dose-prediction auto-planning.
These breast cancer models were trained on 285 historical institutional cases spanning radical mastectomy and breast-conserving surgery over five years.
Auto-delineated structures include the clinical target volume, regional lymph nodes (if involved), tumor bed (identified by surgical clips), heart, bilateral lungs, unaffected breast, spinal cord, esophagus, thyroid, and affected humeral head.
These contours guide dose prediction to generate deliverable tangential arc plans via clinical-goal-guided automated optimization in the treatment planning system.
To adapt to the on-couch treatment scenario, models were validated on retrospective data and offline routines to maximize target delineation accuracy and the first-approval rate of auto-plans.
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Wat meet het onderzoek?
Primaire uitkomstmaten
Primaire uitkomstmaten
Uitkomstmaat |
Maatregel Beschrijving |
Tijdsspanne |
|---|---|---|
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Acute adverse events
Tijdsspanne: 6 months
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The incidence and severity of acute adverse event include radiation dermatitis, pruritus, skin pain, radiation esophagitis, and radiation pneumonitis.
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6 months
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Secundaire uitkomstmaten
Secundaire uitkomstmaten
Uitkomstmaat |
Maatregel Beschrijving |
Tijdsspanne |
|---|---|---|
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Accuracy
Tijdsspanne: 2 months
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Auto-segmentation accuracy was assessed by comparing automatically generated contours against the final physician-approved contours
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2 months
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Success rate
Tijdsspanne: 2 months
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Record AIO workflow success rate: online planning one-pass optimization success rate.
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2 months
|
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Quality of life (QoL)
Tijdsspanne: 6 months
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Quality of life will be evaluated via standardized QoL scales.
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6 months
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Time efficiency
Tijdsspanne: 2 months
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The time efficiency of the workflow was automatically recorded by the system
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2 months
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Full-Workflow Patient Intrafraction Motion
Tijdsspanne: 2 months
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Evaluated based on geometric deviations between pretreatment image-guided radiotherapy (IGRT), posttreatment imaging, and the baseline simulation CT
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2 months
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Correlation of Patient Metrology with Setup Error and Dosimetric Performance
Tijdsspanne: 2 months
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Evaluation of how Body Mass Index (BMI) and weight fluctuations correlate with geometric setup errors and in vivo gamma pass rates
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2 months
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Correlation of Anatomical Scale with Setup Error and Dosimetric Performance
Tijdsspanne: 2 months
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Evaluation of how anatomical scale/breast size correlates with geometric setup errors and in vivo gamma pass rates
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2 months
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Medewerkers en onderzoekers
Sponsor
Sponsor
Studie record data
Bestudeer belangrijke data
Studie start (Werkelijk)
Studie start
Primaire voltooiing (Geschat)
Primaire voltooiing
Studie voltooiing (Geschat)
Studie voltooiing
Studieregistratiedata
Eerst ingediend
Eerst ingediend
Eerst ingediend dat voldeed aan de QC-criteria
Eerst ingediend dat voldeed aan de QC-criteria
Eerst geplaatst (Werkelijk)
Eerst geplaatst
Updates van studierecords
Laatste update geplaatst (Werkelijk)
Laatste update geplaatst
Laatste update ingediend die voldeed aan QC-criteria
Laatste update ingediend die voldeed aan QC-criteria
Laatst geverifieerd
Laatst geverifieerd
Meer informatie
Termen gerelateerd aan deze studie
Aanvullende relevante MeSH-voorwaarden
Andere studie-ID-nummers
Andere studie-ID-nummers
- FDRT-BC029
Plan Individuele Deelnemersgegevens (IPD)
Bent u van plan om gegevens van individuele deelnemers (IPD) te delen?
IPD delen Ondersteunend informatietype
- LEERPROTOCOOL
- ICF
Informatie over medicijnen en apparaten, studiedocumenten
Bestudeert een door de Amerikaanse FDA gereguleerd geneesmiddel
Bestudeert een door de Amerikaanse FDA gereguleerd apparaatproduct
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