- ICH GCP
- Yhdysvaltain kliinisten tutkimusten rekisteri
- Kliininen tutkimus NCT07650656
Fluorescence-Guided Surgical Resection for Reducing Unexpected Positive Margins in Patients With Sarcoma, SarcoSIGHT Trial
SarcoSIGHT: A Randomized-Control Trial of Fluorescence Guided Sarcoma Surgery Versus the Standard of Care
Tutkimuksen yleiskatsaus
Tila
Yksityiskohtainen kuvaus
PRIMARY OBJECTIVE:
I. To determine whether there is a reduction in the unexpected positive margin rate (UPM) in patients receiving fluorescence-guided surgery (FGS) using indocyanine green (ICG) compared to standard of care (SoC).
SECONDARY OBJECTIVE:
I. To determine the effect of FGS using ICG compared to the SoC over a 12-month period.
EXPLORATORY OBJECTIVE:
I. To determine the role of ICG in the pathological margin assessment of resected sarcoma specimens whilst improving understanding of the cellular mechanisms of FGS using ICG.
OUTLINE: Patients are randomized to 1 of 2 arms.
ARM I: Patients undergo standard of care surgical resection.
ARM II: Patients receive ICG intravenously (IV) 12-24 hours prior to their scheduled surgery. Patients then undergo FGS with intraoperative fluorescence imaging.
After completion of study treatment, patients are followed up at 1, 3, 6, and 12 months.
Opintotyyppi
Ilmoittautuminen (Arvioitu)
Vaihe
- Vaihe 2
Yhteystiedot ja paikat
Opiskelupaikat
-
-
California
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Duarte, California, Yhdysvallat, 91010
- City of Hope Medical Center
-
Ottaa yhteyttä:
- Thinzar Lwin
- Puhelinnumero: 626-218-3880
- Sähköposti: tlwin@coh.org
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Päätutkija:
- Thinzar Lwin
-
-
Osallistumiskriteerit
Kelpoisuusvaatimukset
Opintokelpoiset iät
- Lapsi
- Aikuinen
- Vanhempi Aikuinen
Hyväksyy terveitä vapaaehtoisia
Kuvaus
Inclusion Criteria:
- Documented written informed consent of the participant
- Histologically confirmed diagnosis of intermediate to high grade sarcoma
- All ages
- Amenable to surgical resection as a part of curative intent for the patient
Willingness to:
- Respond to surveys during the trial
- Permit medical record/ clinical laboratory result review
Exclusion Criteria:
- Due for surgery with palliative intent
- Recurrent tumors
- Intracranial, retroperitoneal, and visceral anatomical locations
- A woman of childbearing potential who is currently pregnant (as confirmed by urine pregnancy test)
- A woman who are currently breastfeeding
- Known allergies to ICG, iodine, iodine dyes or shellfish
- Unable to provide written and informed consent
- Patients with hyper-thyroidism or autonomic thyroid adenomas
- Premature infants/neonates with exchange transfusion indication due to hyperbilirubinemia
Opintosuunnitelma
Miten tutkimus on suunniteltu?
Suunnittelun yksityiskohdat
- Ensisijainen käyttötarkoitus: Hoito
- Jako: Satunnaistettu
- Inventiomalli: Rinnakkaistehtävä
- Naamiointi: Yksittäinen
Aseet ja interventiot
Osallistujaryhmä / Arm |
Interventio / Hoito |
|---|---|
|
Active Comparator: Arm I (standard of care)
Patients undergo standard of care surgical resection.
|
Apututkimukset
Suorita kirurginen resektio
Muut nimet:
Apututkimukset
|
|
Kokeellinen: Arm II (FGS)
Patients receive ICG IV 12-24 hours prior to their scheduled surgery.
Patients then undergo FGS with intraoperative fluorescence imaging.
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Apututkimukset
Apututkimukset
Suorita fluoresenssikuvaus
Koska IV
Muut nimet:
Undergo FGS
Muut nimet:
|
Mitä tutkimuksessa mitataan?
Ensisijaiset tulostoimenpiteet
Tulosmittaus |
Toimenpiteen kuvaus |
Aikaikkuna |
|---|---|---|
|
Unexpected positive margin (UPM) rate
Aikaikkuna: At 6 months post-surgery
|
The margin status of each tumor will be taken from the pathology report for each patient enrolled in the trial.
This will be recorded at six months post- surgery and will be classified according to the R classification system.
The UPM rate for each arm will be defined by calculating the percentage of patients in that arm with a UPM on histopathological assessment of the resection specimen.
The percentage of patients with unexpected positive margins will be calculated for each group to give the unexpected positive margin rate.
This will then be compared between the two groups.
Will use a logistic regression that adjusts key covariates including stratification factors used in the randomization.
A Wald test and a 95% confidence interval will be extracted from this model.
A two-sided p-value will be found from the Wald test.
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At 6 months post-surgery
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Toissijaiset tulostoimenpiteet
Tulosmittaus |
Toimenpiteen kuvaus |
Aikaikkuna |
|---|---|---|
|
Intraoperative complications
Aikaikkuna: During surgical resection
|
Intraoperative complications may include blood loss requiring transfusion, inadvertent damage to nerves, inadvertent damage to tendons/ligaments, inadvertent damage to bony structures, myocardial infarction, stroke, other events determined by the principal investigator to be a complication of the surgery.
Will be compared between the two groups at the day of operation.
Descriptive analysis will be performed to analyze the nature of the data.
Secondary outcomes with binary/multiple measures will be analyzed with logistic regression.
For variables with continuous measure, appropriate regression models will be used.
Appropriate statistical tests depending on the nature of the variables (whether qualitative or quantitative) will be used for comparison between the two treatment arms.
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During surgical resection
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Postoperative complications
Aikaikkuna: Up to 12 months
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Postoperative complications may include wound infection, wound dehiscence, seroma, flap complications, deep vein thrombosis, pulmonary embolism, myocardial infarction, stroke, other events determined by the principal investigator to be a complication of the surgery.
Post operative complications will be graded using the Calvien Dindo Classifications of Surgical Complications.
Will be compared between the two groups at the day of operation and at 1-, 6- and 12-month follow-up time points.
Descriptive analysis will be performed to analyze the nature of the data.
Secondary outcomes with binary/multiple measures will be analyzed with logistic regression.
For variables with continuous measure, appropriate regression models will be used.
Appropriate statistical tests depending on the nature of the variables (whether qualitative or quantitative) will be used for comparison between the two treatment arms.
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Up to 12 months
|
|
Length of index operation
Aikaikkuna: During surgical resection
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Will be measured in minutes.
Will be compared between groups on the day of operation.
Descriptive analysis will be performed to analyze the nature of the data.
Secondary outcomes with binary/multiple measures will be analyzed with logistic regression.
For variables with continuous measure, appropriate regression models will be used.
Appropriate statistical tests depending on the nature of the variables (whether qualitative or quantitative) will be used for comparison between the two treatment arms.
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During surgical resection
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Length of inpatient stay
Aikaikkuna: Through study completion, an average of 1 year
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Will be measured in days.
Will be compared between the two groups at the day of operation and at 1-, 6- and 12-month follow-up time points.
Descriptive analysis will be performed to analyze the nature of the data.
Secondary outcomes with binary/multiple measures will be analyzed with logistic regression.
For variables with continuous measure, appropriate regression models will be used.
Appropriate statistical tests depending on the nature of the variables (whether qualitative or quantitative) will be used for comparison between the two treatment arms.
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Through study completion, an average of 1 year
|
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Recurrence
Aikaikkuna: Up to 12 months
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Local/regional/distal recurrence is defined as the recurrence of sarcoma at the site of primary resection (local) or at a site other than that of the primary tumor, including distal metastasis.
Investigations must be tailored to circumstances but where possible should include histological confirmation.
Will be compared between the two groups at the 12-month time point.
Descriptive analysis will be performed to analyze the nature of the data.
Secondary outcomes with binary/multiple measures will be analyzed with logistic regression.
For variables with continuous measure, appropriate regression models will be used.
Appropriate statistical tests depending on the nature of the variables (whether qualitative or quantitative) will be used for comparison between the two treatment arms.
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Up to 12 months
|
|
Therapies
Aikaikkuna: Up to 12 months
|
Adjuvant and neo-adjuvant therapy rates will include radiation therapy and/or chemotherapy.
The type and frequency of therapy will be recorded.
Will be compared between groups on the day of operation.
Descriptive analysis will be performed to analyze the nature of the data.
Secondary outcomes with binary/multiple measures will be analyzed with logistic regression.
For variables with continuous measure, appropriate regression models will be used.
Appropriate statistical tests depending on the nature of the variables (whether qualitative or quantitative) will be used for comparison between the two treatment arms.
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Up to 12 months
|
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Overall survival
Aikaikkuna: Up to 12 months
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Overall survival is defined as death due to any cause.
Where possible, the specific cause of death should be documented, allowing the calculation of disease specific survival.
Will be compared between the two groups at the 12-month time point.
Descriptive analysis will be performed to analyze the nature of the data.
Survival analysis like the Kaplan-Meier statistics will be used to find the overall survival in each arm.
Appropriate statistical tests depending on the nature of the variables (whether qualitative or quantitative) will be used for comparison between the two treatment arms.
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Up to 12 months
|
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Quality of life
Aikaikkuna: Up to 12 months
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Quality of life will be assessed using the EQ-5D-5L European Quality of Life Five Dimension Five Level scale or European Quality of Life Five Dimension Three Level Youth scale.
Will be compared between the two groups.
Descriptive analysis will be performed to analyze the nature of the data.
Secondary outcomes with binary/multiple measures will be analyzed with logistic regression.
For variables with continuous measure, appropriate regression models will be used.
Appropriate statistical tests depending on the nature of the variables (whether qualitative or quantitative) will be used for comparison between the two treatment arms.
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Up to 12 months
|
|
Recovery following resection
Aikaikkuna: Up to 12 months
|
After undergoing surgical resection for sarcomas of the extremity, participants are often left with an element of functional impairment in the affected limb due to the extent of the resection required.
There are separate questionnaires for participants undergoing surgery on the upper and lower extremities, in which participants are asked to rate their ability to perform several tasks, rating them from 'impossible' to 'not at all difficult', as well as overall rating of how disabled they feel they are.
Descriptive analysis will be performed to analyze the nature of the data.
Secondary outcomes with binary/multiple measures will be analyzed with logistic regression.
For variables with continuous measure, appropriate regression models will be used.
Appropriate statistical tests depending on the nature of the variables (whether qualitative or quantitative) will be used for comparison between the two treatment arms.
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Up to 12 months
|
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Surgical impact and decision making
Aikaikkuna: Immediately following surgical resection
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Immediately following the surgical procedure, a surgical case report form (CRF) will be completed by the surgeon who performed the surgery.
This CRF will record if there was the potential for an acceptable close/positive margin due to the preservation of a critical structure, the length of the operation and any intra-operative complications.
If the participant was randomized to the intervention arm, the CRF will also record whether the surgeon felt this influenced their operative decision making.
Descriptive analysis will be performed to analyze the nature of the data.
Secondary outcomes with binary/multiple measures will be analyzed with logistic regression.
For variables with continuous measure, appropriate regression models will be used.
Appropriate statistical tests depending on the nature of the variables (whether qualitative or quantitative) will be used for comparison between the two treatment arms.
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Immediately following surgical resection
|
Yhteistyökumppanit ja tutkijat
Sponsori
Yhteistyökumppanit
Tutkijat
- Päätutkija: Thinzar Lwin, City of Hope Medical Center
Opintojen ennätyspäivät
Opi tärkeimmät päivämäärät
Opiskelun aloitus (Arvioitu)
Ensisijainen valmistuminen (Arvioitu)
Opintojen valmistuminen (Arvioitu)
Opintoihin ilmoittautumispäivät
Ensimmäinen lähetetty
Ensimmäinen toimitettu, joka täytti QC-kriteerit
Ensimmäinen Lähetetty (Todellinen)
Tutkimustietojen päivitykset
Viimeisin päivitys julkaistu (Todellinen)
Viimeisin lähetetty päivitys, joka täytti QC-kriteerit
Viimeksi vahvistettu
Lisää tietoa
Tähän tutkimukseen liittyvät termit
Muita asiaankuuluvia MeSH-ehtoja
- Neoplasmat
- Neoplasmat histologisen tyypin mukaan
- Neoplasmat, side- ja pehmytkudokset
- Sarkooma
- Heterosykliset yhdisteet
- Heterosykliset yhdisteet, 2-rengas
- Heterosykliset yhdisteet, sulatettu rengas
- Tutkintatekniikat
- Diagnostiikkatekniikat ja menettelyt
- Diagnoosi
- Indolit
- Diagnostinen kuvantaminen
- Indocyanine Green
- Optinen kuvantaminen
Muut tutkimustunnusnumerot
- 24374 (Muu tunniste: City of Hope Medical Center)
- P30CA033572 (Yhdysvaltain NIH-apuraha/sopimus)
- NCI-2026-03865 (Rekisterin tunniste: CTRP (Clinical Trial Reporting Program))
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