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Feasibility and Accuracy of Nanosensor-based Cancer Diagnosis at the Point-of-care (Chedza)

Feasibility and Accuracy of Nanosensor-based Cancer Diagnosis at the Point-of-care (Chedza)

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04119154
Acronym
Chedza
Enrollment
270
Registered
2019-10-08
Start date
2019-08-01
Completion date
2021-09-20
Last updated
2022-05-02

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Breast Neoplasms, Lymphoma

Brief summary

Prospective feasibility and validation study of a novel, near-to-care modality for diagnosis of malignancy among cancer suspects.

Detailed description

Prospective feasibility and validation study of a novel contrast microhalography (CEM) device for diagnosis of malignancy in Botswana. Consenting patients identified by their providers as requiring a fine needle aspirate (FNA) or percutaneous biopsy for assessment for possible lymphoma or breast cancer will undergo standard diagnostic procedure. Concurrently these patients will have additional FNA fluid tested using the portable novel nanosensor-based device (CEM). Diagnosis made from standard anatomic pathology, flow cytometry, and/or cytology will be compared with the diagnosis made using the CEM platform. Assessment of the feasibility and acceptability of the CEM platform will be performed. Assessment of training requirements for CEM platform will be completed.

Interventions

DIAGNOSTIC_TESTContrast Microhalography (CEM)

Fine needle aspirates evaluated by CEM device

Sponsors

National Cancer Institute (NCI)
CollaboratorNIH
Botswana Harvard AIDS Institute Partnership
CollaboratorOTHER
Massachusetts General Hospital
CollaboratorOTHER
Brigham and Women's Hospital
CollaboratorOTHER
Harvard School of Public Health (HSPH)
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
DIAGNOSTIC
Masking
NONE

Masking description

No masking, open label.

Intervention model description

Cancer suspects will undergo standard diagnostic evaluation and novel diagnostic. Single arm.

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Botswana citizen * Age 18 years or older * Able and willing to provide informed consent * Undergoing diagnostic procedure for palpable abnormality (biopsy, node/mass resection, or fine-needle aspirate) for diagnosis of possible lymphoid malignancy or breast cancer

Exclusion criteria

* Involuntary incarceration (prison, jail, etc.) * Procedures involving internal organs or locations expected to have elevated risk of complication * Increased risk for severe bleeding as defined as known hemophilia or other bleeding disorder, use of anticoagulants in past week (not including aspirin or other NSAIDS), advanced liver disease, or other condition determined by clinician to significantly increase bleeding risk of procedure * Known pregnancy * Critical illness as defined by current intensive care admission, hypotension (systolic BP\<100mmHg), hypoxemia (O2 saturation \<94% on room air), or other condition determined by clinician to significantly decrease physiologic tolerance of procedure * Other condition felt by the clinician performing procedure to significantly increase risk of procedure

Design outcomes

Primary

MeasureTime frameDescription
Accuracy for diagnosis of non-Hodgkin lymphomaDay 1, at time of diagnosisAccuracy (proportion of true positive and true negative out of total number assessed) of CEM in comparison with standard diagnostic approach.
Accuracy for diagnosis of invasive breast cancerDay 1, at time of diagnosisAccuracy (proportion of true positive and true negative out of total number assessed) of CEM in comparison with standard diagnostic approach.
Time to diagnosisDay 1, at time of diagnosisTime from diagnostic procedure to knowledge of test result by the treating clinician
Proficiency in testing using CEM platformDay 1, At completion of trainingProportion of personnel of varying laboratory experience and training modalities with proficiency using CEM platform

Secondary

MeasureTime frameDescription
Accuracy for sub-type diagnosis (aggressive vs. indolent) of non-Hodgkin lymphomaDay 1, at time of diagnosisAccuracy (proportion of true positive and true negative out of total number non-Hodgkin lymphoma) of CEM in comparison with standard diagnostic approach.
Accuracy for molecular subtype diagnosis of invasive breast cancerDay 1, at time of diagnosisAccuracy (proportion of true positive and true negative out of total number of invasive breast cancers), compared with standard diagnostic approach, for the molecular subtype diagnosis of invasive breast cancer into estrogen-receptor positive, triple-negative, and other estrogen-receptor negative categories.

Countries

Botswana

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026