Prediction of Axillary Lymph Node Metastasis Status in Breast Cancer Based on PET/CT Radiomics

NCT ID: NCT05826197

Last Updated: 2023-05-09

Study Results

Results pending

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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Recruitment Status

UNKNOWN

Total Enrollment

100 participants

Study Classification

OBSERVATIONAL

Study Start Date

2023-05-10

Study Completion Date

2024-12-31

Brief Summary

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Patients with suspected breast cancer undergoing PET/CT at our hospital. The PET/CT center's chief physician and senior attending physician reviewed the films together and disagreement, if any, was resolved by consensus. The lesion was visually identified. A 3D region of interest(ROI) of the lesion was automatically outlined using the 40% threshold method, and PET metabolic parameters were measured . Breast lesions with radionuclide concentrations greater than those in normal breast tissue are considered to be breast cancer lesions, while lymph nodes with radionuclide concentrations greater than those in muscle tissue are considered to be metastatic lymph nodes.

Image segmentation: Image segmentation was performed using ITK-SNAP software (4) (version 3.6.0, http://www.itksnap.org/), Brush Style: circular, Brush Size: 10, Brush Options: 3D. The entire tumor volume was outlined on the PET image as ROI for segmentation.

An open source Python package (PyRadiomics version 3.0.1(5)) was used to extract the radiomics features from the ROI.

Univariate and multivariate binary logistic regressions were used to construct model for predicting lymph node metastasis in breast cancer.

Detailed Description

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Conditions

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Breast Neoplasms

Study Design

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Observational Model Type

CASE_CONTROL

Study Time Perspective

PROSPECTIVE

Study Groups

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Axillary lymph node metastasis

Radiomics

Intervention Type OTHER

PET Radiomics

No axillary lymph node metastasis

No interventions assigned to this group

Interventions

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Radiomics

PET Radiomics

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* 1\) 18F-FDG PET/CT for breast occupancy; 2) adult female patients with pathologically confirmed breast cancer (age ≥18 years); 3) no history of surgery, radiotherapy, or chemotherapy before 18F-FDG PET/CT; and 4) interval between 18F-FDG PET/CT and puncture/surgery ≤2 weeks.

Exclusion Criteria

* 1\) multifocal, bilateral, or occult breast cancer; 2) incomplete clinical or pathological data; 3) poor PET/CT image quality, when metabolic tumor volume(MTV) cannot be automatically segmented; and 4) concomitant malignant tumors.
Minimum Eligible Age

18 Years

Maximum Eligible Age

80 Years

Eligible Sex

FEMALE

Accepts Healthy Volunteers

No

Sponsors

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First Affiliated Hospital Xi'an Jiaotong University

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Central Contacts

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Yan Li

Role: CONTACT

0086-15829364429

References

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Li Y, Han D, Shen C. Prediction of the axillary lymph-node metastatic burden of breast cancer by 18F-FDG PET/CT-based radiomics. BMC Cancer. 2024 Jun 7;24(1):704. doi: 10.1186/s12885-024-12476-3.

Reference Type DERIVED
PMID: 38849770 (View on PubMed)

Li Y, Han D, Shen C, Duan X. Construction of a comprehensive predictive model for axillary lymph node metastasis in breast cancer: a retrospective study. BMC Cancer. 2023 Oct 24;23(1):1028. doi: 10.1186/s12885-023-11498-7.

Reference Type DERIVED
PMID: 37875818 (View on PubMed)

Other Identifiers

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2023-YBSF-480

Identifier Type: -

Identifier Source: org_study_id

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