Preoperative prediction of margin requirement following a core biopsy result suggestive of a phyllodes tumour

Mberu, Valentine; Macaskill, E. Jane; Purdie, Colin A.; Evans, Andrew

doi:10.1016/j.crad.2019.11.006

Cited by 4 publications

(2 citation statements)

References 24 publications

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“…Diagnosing PT requires an initial clinical evaluation, followed by radiological assessment. The imaging methods used for assessing breast disease include mammography, ultrasound, and MRI [14]. In this particular case study, mammography revealed a spherical, well-defined, hyperdense mass with a few microcalcifications.…”

Section: Discussionmentioning

confidence: 99%

“…However, several studies describe various preoperative differentiating features between fibroadenoma and benign PT versus borderline and malignant PT on ultrasound. These features include an irregular shape, microlobulations, high echogenicity, a BI-RADS score >3, distal enhancement, size >40 mm, and stiffness on shear wave elastography [14]. The high ultrasound BI-RADS score in borderline and malignant PTs is likely to reflect both infiltrative margins and the increased heterogeneity observed in these lesions.…”

Section: Discussionmentioning

confidence: 99%

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Clinical and radiological evaluation of a phyllodes tumor of the breast: a case report

Huang,

Yao,

Wan

2023

Anti-Cancer Drugs

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Phyllodes tumors (PTs) are rare breast tumors characterized by varying biological behavior and heterogeneous clinical findings. As a result, accurately diagnosing PTs preoperatively is challenging, often leading to misdiagnosis. A 49-year-old patient presented with a steadily growing right breast mass that had persisted over a 10-year period. Breast mammography and ultrasonography results indicated the presence of a PT. Following a lumpectomy, the patient was diagnosed with a borderline PT. However, nearly 1 year later, she was readmitted due to the recurrence of a palpable mass at the site. Consequently, 1 year and 8 months after the initial operation, she underwent thoracoscopic lobectomy to address solitary lung metastases. Subsequently, the patient experienced brain metastasis and massive hemorrhage 14 months later. Long-term follow-up was recommended. This case study presents an instance of borderline PT with clinical and imaging features that are crucial for guiding clinical operations and evaluating patient prognosis.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Clinical and radiological evaluation of a phyllodes tumor of the breast: a case report

Huang,

Yao,

Wan

2023

Anti-Cancer Drugs

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Differentiation Between Phyllodes Tumor and Fibroadenoma of the Breast: A Radiomics Prediction Model Based on Full-Field Digital Mammography & Digital Tomosynthesis

Zeng,

Yang

et al. 2024

Technol Cancer Res Treat

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Objective To assess the diagnostic performance of FFDM-based and DBT-based radiomics models to differentiate breast phyllodes tumors from fibroadenomas. Methods 192 patients (93 phyllodes tumors and 99 fibroadenomas) who underwent mammography were retrospectively enrolled. Radiomic features were respectively extracted from FFDM and the clearest slice of DBT images. A least absolute shrinkage and selection operator (LASSO) regression was used to select radiomics features. A combined model was constructed by radiomics and radiological signatures. Machine learning classification was done using logistic regression based on radiomics or radiological signatures (clinical model). Four radiologists were tested on phyllodes tumors and fibroadenomas with and without optimal model assistance. The area under the receiver operating characteristic (ROC) curve (AUC) was computed to assess the performance of each model or radiologist. The Delong test and McNemar's test were performed to compare the performance. Results The combined model yielded the highest performance with an AUC of 0.948 (95%CI: 0.889-1.000) in the testing set, slightly higher than the FFDM-radiomics model (AUC of 0.937, 95%CI: 0.841-0.984) and the DBT-radiomics model (AUC of 0.860, 95%CI: 0.742-0.936) and significantly superior to the clinical model (AUC of 0.719, 95%CI: 0.585-0.829). With the combined model aid, the AUCs of four radiologists were improved from 0.808 to 0.914 ( p=0.079), 0.759 to 0.888 ( p=0.015), 0.717 to 0.846 ( p=0.004), and 0.629 to 0.803 ( p=0.001). Conclusion Radiomics analysis based on FFDM and DBT shows promise in differentiating phyllodes tumors from fibroadenomas.

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Phyllodes Tumors: A Scoping Review of the Literature

et al. 2021

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Preoperative prediction of margin requirement following a core biopsy result suggestive of a phyllodes tumour

Cited by 4 publications

References 24 publications

Clinical and radiological evaluation of a phyllodes tumor of the breast: a case report

Clinical and radiological evaluation of a phyllodes tumor of the breast: a case report

Differentiation Between Phyllodes Tumor and Fibroadenoma of the Breast: A Radiomics Prediction Model Based on Full-Field Digital Mammography & Digital Tomosynthesis

Phyllodes Tumors: A Scoping Review of the Literature

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