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Ultra-high b-value DWI in rectal cancer: image quality assessment and regional lymph node prediction based on radiomics.
Hao, Yongfei; Zheng, Jianyong; Li, Wanqing; Zhao, Wanting; Zheng, Jianmin; Wang, Hong; Ren, Jialiang; Zhang, Guangwen; Zhang, Jinsong.
Afiliación
  • Hao Y; Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
  • Zheng J; Department of Gastrointestinal Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
  • Li W; Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
  • Zhao W; Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
  • Zheng J; Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
  • Wang H; Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
  • Ren J; Department of Pharmaceuticals Diagnostics, GE HealthCare, Beijing, China.
  • Zhang G; Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China. divedeep@126.com.
  • Zhang J; Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China. stspine@163.com.
Eur Radiol ; 2024 Jul 12.
Article en En | MEDLINE | ID: mdl-38992110
ABSTRACT

OBJECTIVES:

This study aims to evaluate image quality and regional lymph node metastasis (LNM) in patients with rectal cancer (RC) on multi-b-value diffusion-weighted imaging (DWI).

METHODS:

This retrospective study included 199 patients with RC who had undergone multi-b-value DWI. Subjective (five-point Likert scale) and objective assessments of quality images were performed on DWIb1000, DWIb2000, and DWIb3000. Patients were randomly divided into a training (n = 140) or validation cohort (n = 59). Radiomics features were extracted within the whole volume tumor on ADC maps (b = 0, 1000 s/mm2), DWIb1000, DWIb2000, and DWIb3000, respectively. Five prediction models based on selected features were developed using logistic regression analysis. The performance of radiomics models was evaluated with a receiver operating characteristic curve, calibration, and decision curve analysis (DCA).

RESULTS:

The mean signal intensity of the tumor (SItumor), signal-to-noise ratio (SNR), and artifact and anatomic differentiability score gradually were decreased as the b-value increased. However, the contrast-to-noise (CNR) on DWIb2000 was superior to those of DWIb1000 and DWIb3000 (4.58 ± 0.86, 3.82 ± 0.77, 4.18 ± 0.84, p < 0.001, respectively). The overall image quality score of DWIb2000 was higher than that of DWIb3000 (p < 0.001) and showed no significant difference between DWIb1000 and DWIb2000 (p = 0.059). The area under curve (AUC) value of the radiomics model based on DWIb2000 (0.728) was higher than conventional ADC maps (0.690), DWIb1000 (0.699), and DWIb3000 (0.707), but inferior to multi-b-value DWI (0.739) in predicting LNM.

CONCLUSION:

DWIb2000 provides better lesion conspicuity and LNM prediction than DWIb1000 and DWIb3000 in RC. CLINICAL RELEVANCE STATEMENT DWIb2000 offers satisfactory visualization of lesions. Radiomics features based on DWIb2000 can be applied for preoperatively predicting regional lymph node metastasis in rectal cancer, thereby benefiting the stratified treatment strategy. KEY POINTS Lymph node staging is required to determine the best treatment plan for rectal cancer. DWIb2000 provides superior contrast-to-noise ratio and lesion conspicuity and its derived radiomics best predict lymph node metastasis. DWIb2000 may be recommended as the optimal b-value in rectal MRI protocol.
Palabras clave

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Eur Radiol Asunto de la revista: RADIOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Eur Radiol Asunto de la revista: RADIOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: China