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
Studieoversigt
Status
Status
Betingelser
Betingelser
Intervention / Behandling
Intervention / Behandling
Undersøgelsestype
Undersøgelsestype
Tilmelding (Anslået)
Tilmelding
Fase
Fase
- Ikke anvendelig
Kontakter og lokationer
Studiekontakt
Studiekontakt
- Navn: Xiaoli Yu, MD, PhD
- Telefonnummer: +86-021-64175590
- E-mail: xiaoliyu@fudan.edu.cn
Undersøgelse Kontakt Backup
- Navn: Xiaofang Wang, MD, PhD
- Telefonnummer: +86 18017317247
- E-mail: xiaofang0708@yeah.net
Studiesteder
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Shanghai Municipality
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Shanghai, Shanghai Municipality, Kina, 200032
- Rekruttering
- Fudan University Shanghai Cancer Center
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Kontakt:
- Xiaofang Wang Wang
- Telefonnummer: +86 18017317247
- E-mail: xiaofang0708@yeah.net
-
-
Deltagelseskriterier
Berettigelseskriterier
Berettigelseskriterier
Aldre berettiget til at studere
- Voksen
- Ældre voksen
Tager imod sunde frivillige
Beskrivelse
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
Studieplan
Hvordan er undersøgelsen tilrettelagt?
Design detaljer
- Primært formål: Andet
- Tildeling: Ikke-randomiseret
- Interventionel model: Sekventiel tildeling
- Maskning: Ingen (Åben etiket)
Antal våben
Våben og indgreb
Deltagergruppe / ArmDeltagergruppe / Arm |
Intervention / BehandlingIntervention / Behandling |
|---|---|
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Andet: 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.
|
|
Andet: 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.
|
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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Hvad måler undersøgelsen?
Primære resultatmål
Primære resultatmål
Resultatmål |
Foranstaltningsbeskrivelse |
Tidsramme |
|---|---|---|
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Acute adverse events
Tidsramme: 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.
|
6 months
|
Sekundære resultatmål
Sekundære resultatmål
Resultatmål |
Foranstaltningsbeskrivelse |
Tidsramme |
|---|---|---|
|
Accuracy
Tidsramme: 2 months
|
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
Tidsramme: 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)
Tidsramme: 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
Tidsramme: 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
Tidsramme: 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
Tidsramme: 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
Tidsramme: 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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Samarbejdspartnere og efterforskere
Sponsor
Sponsor
Datoer for undersøgelser
Studer store datoer
Studiestart (Faktiske)
Studiestart
Primær færdiggørelse (Anslået)
Primær færdiggørelse
Studieafslutning (Anslået)
Studieafslutning
Datoer for studieregistrering
Først indsendt
Først indsendt
Først indsendt, der opfyldte QC-kriterier
Først indsendt, der opfyldte QC-kriterier
Først opslået (Faktiske)
Først opslået
Opdateringer af undersøgelsesjournaler
Sidste opdatering sendt (Faktiske)
Sidste opdatering sendt
Sidste opdatering indsendt, der opfyldte kvalitetskontrolkriterier
Sidste opdatering indsendt, der opfyldte kvalitetskontrolkriterier
Sidst verificeret
Sidst verificeret
Mere information
Begreber relateret til denne undersøgelse
Yderligere relevante MeSH-vilkår
Andre undersøgelses-id-numre
Andre undersøgelses-id-numre
- FDRT-BC029
Plan for individuelle deltagerdata (IPD)
Planlægger du at dele individuelle deltagerdata (IPD)?
IPD-deling Understøttende informationstype
- STUDY_PROTOCOL
- ICF
Lægemiddel- og udstyrsoplysninger, undersøgelsesdokumenter
Studerer et amerikansk FDA-reguleret lægemiddelprodukt
Studerer et amerikansk FDA-reguleret enhedsprodukt
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