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Conventional ultrasound combined with contrast-enhanced ultrasound: could it be helpful for the diagnosis of thoracic wall recurrence after mastectomy?
Li, Jun Kang; Fu, Nai Qin; Wang, Bo; Jiang, Ying; Li, Shi Yu; Niu, Rui Lan; Wang, Zhi Li.
Affiliation
  • Li JK; Department of Ultrasound, The First Medical Center, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China.
  • Fu NQ; Department of Ultrasound, Chinese PLA 63820 Hospital, Mianyang, Sichuan, China.
  • Wang B; Department of Ultrasound, The First Medical Center, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China.
  • Jiang Y; Department of Ultrasound, The First Medical Center, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China.
  • Li SY; Department of Ultrasound, The First Medical Center, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China.
  • Niu RL; Department of Ultrasound, The First Medical Center, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China.
  • Wang ZL; Department of Ultrasound, The First Medical Center, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China.
Eur Radiol ; 33(9): 6482-6491, 2023 Sep.
Article in En | MEDLINE | ID: mdl-37074423
ABSTRACT

OBJECTIVES:

To develop a predictive model using conventional ultrasound combined with CEUS to identify thoracic wall recurrence after mastectomy.

METHODS:

A total of 162 women with pathologically confirmed thoracic wall lesions (benign 79, malignant 83; median size 1.9 cm, ranging 0.3-8.0 cm) underwent a mastectomy and were checked by both conventional ultrasound and CEUS and were retrospectively included. Logistic regression models of B-mode ultrasound (US) and color Doppler flow imaging (CDFI) with or without CEUS were established to assess the thoracic wall recurrence after mastectomy. The established models were validated by bootstrap resampling. The models were evaluated using calibration curve. The clinical benefit of models were assessed using decision curve analysis.

RESULTS:

The area under the receiver characteristic was 0.823 (95% CI 0.76, 0.88) for model using US alone, 0.898 (95% CI 0.84, 0.94) for model using US combined with CDFI, and 0.959 (95% CI 0.92, 0.98) for model using US combined with both CDFI and CEUS. The diagnostic performance of the US combined with CDFI was significantly higher than that of the US alone (0.823 vs 0.898, p = 0.002) but significantly lower than that of the US combined with both CDFI and CEUS (0.959 vs 0.898, p < 0.001). Moreover, the unnecessary biopsy rate of the US combined with both CDFI and CEUS was significantly lower than that of the US combined with CDFI (p = 0.037).

CONCLUSIONS:

Compared to B-mode ultrasound and CDFI, CEUS improves the diagnostic performance to evaluate thoracic wall recurrence after mastectomy. KEY POINTS • CUES is an effective supplementary method for US in the diagnosis of thoracic wall recurrence after mastectomy. • CEUS combined with both US and CDFI can significantly improve the accuracy of diagnosis of thoracic wall recurrence after mastectomy. • CEUS combined with both US and CDFI can reduce the rate of unnecessary biopsy of thoracic wall lesions after mastectomy.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Ultrasonography / Contrast Media / Thoracic Wall / Neoplasm Recurrence, Local Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Aged / Female / Humans / Middle aged Language: En Journal: Eur Radiol Journal subject: RADIOLOGIA Year: 2023 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Ultrasonography / Contrast Media / Thoracic Wall / Neoplasm Recurrence, Local Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Aged / Female / Humans / Middle aged Language: En Journal: Eur Radiol Journal subject: RADIOLOGIA Year: 2023 Document type: Article Affiliation country: China
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