Ultrasound Spectroscopy as Early Indicators of Radiation Treatment Response in Prostate, Rectum and Head & Neck Cancers
NCT ID: NCT03908684
Last Updated: 2023-12-13
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
320 participants
OBSERVATIONAL
2014-12-17
2029-12-17
Brief Summary
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We have previously demonstrated that high-frequency ultrasound and spectroscopy, and recently conventional-frequency ultrasound and spectroscopy may be used to detect cell death in vitro, in situ and in vivo. The method can detect different forms of cell death and has been demonstrated to be sensitive to apoptotic, necrotic and mitotic cell death. The main goal, as described above, is to select the best ultrasound spectroscopy parameter to use as an early predictor of pathological complete response
Detailed Description
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Conditions
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Keywords
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Head and Neck
The research will involve a clinical evaluation consisting of 200 patients in the head and neck cohort. It will assess changes in five different ultrasound spectroscopic parameters over different times during treatment with radiotherapy as predictors of tumour shrinkage and pathologic complete response. Ultrasound parameters investigated will include mid-band fit (related to image intensity), spectroscopic slope (backscatter versus frequency), spectroscopic intercept, histogram fit size and shape parameters which can be used as estimates of scatterer size and concentration.
Ultrasound Imaging
Ultrasound Spectroscopy assess changes in five different ultrasound spectroscopic parameters over different times during treatment with radiotherapy as predictors of tumour shrinkage and pathologic complete response. Ultrasound parameters investigated will include mid-band fit (related to image intensity),spectroscopic slope (backscatter versus frequency), spectroscopic intercept, histogram fit size and shape parameters which can be used as estimates of scatterer size and concentration.
Prostate
The research will involve a clinical evaluation consisting of 100 patients in the prostate cohort. It will assess changes in five different ultrasound spectroscopic parameters over different times during treatment with radiotherapy as predictors of tumour shrinkage and pathologic complete response. Ultrasound parameters investigated will include mid-band fit (related to image intensity), spectroscopic slope (backscatter versus frequency), spectroscopic intercept, histogram fit size and shape parameters which can be used as estimates of scatterer size and concentration.
Ultrasound Imaging
Ultrasound Spectroscopy assess changes in five different ultrasound spectroscopic parameters over different times during treatment with radiotherapy as predictors of tumour shrinkage and pathologic complete response. Ultrasound parameters investigated will include mid-band fit (related to image intensity),spectroscopic slope (backscatter versus frequency), spectroscopic intercept, histogram fit size and shape parameters which can be used as estimates of scatterer size and concentration.
Rectum
The research will involve a clinical evaluation consisting of 20 patients in the rectal cohort. It will assess changes in five different ultrasound spectroscopic parameters over different times during treatment with radiotherapy as predictors of tumour shrinkage and pathologic complete response. Ultrasound parameters investigated will include mid-band fit (related to image intensity), spectroscopic slope (backscatter versus frequency), spectroscopic intercept, histogram fit size and shape parameters which can be used as estimates of scatterer size and concentration.
Ultrasound Imaging
Ultrasound Spectroscopy assess changes in five different ultrasound spectroscopic parameters over different times during treatment with radiotherapy as predictors of tumour shrinkage and pathologic complete response. Ultrasound parameters investigated will include mid-band fit (related to image intensity),spectroscopic slope (backscatter versus frequency), spectroscopic intercept, histogram fit size and shape parameters which can be used as estimates of scatterer size and concentration.
Interventions
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Ultrasound Imaging
Ultrasound Spectroscopy assess changes in five different ultrasound spectroscopic parameters over different times during treatment with radiotherapy as predictors of tumour shrinkage and pathologic complete response. Ultrasound parameters investigated will include mid-band fit (related to image intensity),spectroscopic slope (backscatter versus frequency), spectroscopic intercept, histogram fit size and shape parameters which can be used as estimates of scatterer size and concentration.
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
* (2) Measurable disease by ultrasound, or MRI performed within 28 days prior to treatment
* (3) Eastern Co-operative Oncology Group (ECOG) Performance Status of 0 or 1
* (4) Life expectancy of at least 6 months
* (5) Adequate bone marrow, liver and renal function as assessed by the following laboratory requirements to be conducted within 7 days prior to dosing:
(i) hemoglobin \>90 mg/dL (ii) leukocytes \>3,000/mL (iii) absolute neutrophil count \>1,500/mL (iv) platelets \>100,000/mL (v) total bilirubin within normal institutional limits (vi) AST(SGOT)/ALT(SGPT) \<2.5 X institutional upper limit of normal (vii) creatinine within normal institutional limits or creatinine clearance \>60 mL/min/1.73 m2 for patients with creatinine levels above institutional upper limit of normal
* (6) Patients should have the ability to understand and the willingness to sign a written informed consent document. Signed informed consent must be obtained prior to any study specific procedures
Exclusion Criteria
* (2) Receiving any other investigational agents
* (3) Known brain metastases
* (4) History of allergic reactions attributed to compounds of similar chemical or biologic composition
* (5) Contraindications to radiotherapy such as but not limited to:
(i) previous radiotherapy to an involved area (ii) active collagen vascular disease (iii) genetic diseases associated with hyper-radiosensitivity
* (6) Any clinically serious infections requiring systemic anti-bacterial, antifungal or antiviral therapy
* (7) Uncontrolled intercurrent illness including, but not limited to ongoing or active infection, symptomatic congestive heart failure, unstable angina pectoris, and cardiac arrhythmia
* (8) Psychiatric illness/social situations that would limit compliance with study requirements
* (9) History of active ongoing seizure disorder, substance abuse, medical, psychological or social conditions that may interfere with the patient's participation in the study or evaluation of the study results
* (10) Any condition that is unstable or could jeopardize the safety of the patient and their compliance in the study.
ALL
No
Sponsors
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Sunnybrook Health Sciences Centre
OTHER
Responsible Party
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Dr. Gregory Czarnota
Radiation Oncologist and Clinician Scientist
Principal Investigators
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Gregory Czarnota, PhD, MD
Role: PRINCIPAL_INVESTIGATOR
Sunnybrook Health Sciences Centre
Locations
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Sunnybrook Health Sciences Centre
Toronto, Ontario, Canada
Countries
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Central Contacts
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Facility Contacts
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Gregory J Czarnota, PhD, MD
Role: primary
References
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Osapoetra LO, Dasgupta A, DiCenzo D, Fatima K, Quiaoit K, Saifuddin M, Karam I, Poon I, Husain Z, Tran WT, Sannachi L, Czarnota GJ. Quantitative US Delta Radiomics to Predict Radiation Response in Individuals with Head and Neck Squamous Cell Carcinoma. Radiol Imaging Cancer. 2024 Mar;6(2):e230029. doi: 10.1148/rycan.230029.
Fatima K, Dasgupta A, DiCenzo D, Kolios C, Quiaoit K, Saifuddin M, Sandhu M, Bhardwaj D, Karam I, Poon I, Husain Z, Sannachi L, Czarnota GJ. Ultrasound delta-radiomics during radiotherapy to predict recurrence in patients with head and neck squamous cell carcinoma. Clin Transl Radiat Oncol. 2021 Mar 12;28:62-70. doi: 10.1016/j.ctro.2021.03.002. eCollection 2021 May.
Osapoetra LO, Dasgupta A, DiCenzo D, Fatima K, Quiaoit K, Saifuddin M, Karam I, Poon I, Husain Z, Tran WT, Sannachi L, Czarnota GJ. Assessment of clinical radiosensitivity in patients with head-neck squamous cell carcinoma from pre-treatment quantitative ultrasound radiomics. Sci Rep. 2021 Mar 17;11(1):6117. doi: 10.1038/s41598-021-85221-6.
Dasgupta A, Fatima K, DiCenzo D, Bhardwaj D, Quiaoit K, Saifuddin M, Karam I, Poon I, Husain Z, Tran WT, Sannachi L, Czarnota GJ. Quantitative ultrasound radiomics in predicting recurrence for patients with node-positive head-neck squamous cell carcinoma treated with radical radiotherapy. Cancer Med. 2021 Apr;10(8):2579-2589. doi: 10.1002/cam4.3634. Epub 2020 Dec 13.
Other Identifiers
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448-2013
Identifier Type: -
Identifier Source: org_study_id