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
Studieoversikt
Status
Status
Forhold
Forhold
Intervensjon / Behandling
Intervensjon / Behandling
Studietype
Studietype
Registrering (Antatt)
Registrering
Fase
Fase
- Ikke aktuelt
Kontakter og plasseringer
Studiekontakt
Studiekontakt
- Navn: Xiaoli Yu, MD, PhD
- Telefonnummer: +86-021-64175590
- E-post: xiaoliyu@fudan.edu.cn
Studer Kontakt Backup
- Navn: Xiaofang Wang, MD, PhD
- Telefonnummer: +86 18017317247
- E-post: 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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Ta kontakt med:
- Xiaofang Wang Wang
- Telefonnummer: +86 18017317247
- E-post: xiaofang0708@yeah.net
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-
Deltakelseskriterier
Kvalifikasjonskriterier
Kvalifikasjonskriterier
Alder som er kvalifisert for studier
- Voksen
- Eldre voksen
Tar imot friske 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 studiet utformet?
Designdetaljer
- Primært formål: Annen
- Tildeling: Ikke-randomisert
- Intervensjonsmodell: Sekvensiell tildeling
- Masking: Ingen (Open Label)
Antall våpen
Våpen og intervensjoner
Deltakergruppe / ArmDeltakergruppe / Arm |
Intervensjon / BehandlingIntervensjon / Behandling |
|---|---|
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Annen: 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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Annen: 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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Hva måler studien?
Primære resultatmål
Primære resultatmål
Resultatmål |
Tiltaksbeskrivelse |
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.
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6 months
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Sekundære resultatmål
Sekundære resultatmål
Resultatmål |
Tiltaksbeskrivelse |
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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Samarbeidspartnere og etterforskere
Sponsor
Sponsor
Studierekorddatoer
Studer hoveddatoer
Studiestart (Faktiske)
Studiestart
Primær fullføring (Antatt)
Primær fullføring
Studiet fullført (Antatt)
Studiet fullført
Datoer for studieregistrering
Først innsendt
Først innsendt
Først innsendt som oppfylte QC-kriteriene
Først innsendt som oppfylte QC-kriteriene
Først lagt ut (Faktiske)
Først lagt ut
Oppdateringer av studieposter
Sist oppdatering lagt ut (Faktiske)
Sist oppdatering lagt ut
Siste oppdatering sendt inn som oppfylte QC-kriteriene
Siste oppdatering sendt inn som oppfylte QC-kriteriene
Sist bekreftet
Sist bekreftet
Mer informasjon
Begreper knyttet til denne studien
Ytterligere relevante MeSH-vilkår
Andre studie-ID-numre
Andre studie-ID-numre
- FDRT-BC029
Plan for individuelle deltakerdata (IPD)
Planlegger du å dele individuelle deltakerdata (IPD)?
IPD-deling Støtteinformasjonstype
- STUDY_PROTOCOL
- ICF
Legemiddel- og utstyrsinformasjon, studiedokumenter
Studerer et amerikansk FDA-regulert medikamentprodukt
Studerer et amerikansk FDA-regulert enhetsprodukt
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