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Defining MRI Superiority over CT for Colorectal and Neuroendocrine Liver Metastases.
Attiyeh, Marc A; Malhotra, Gautam K; Li, Daneng; Manoukian, Saro B; Motarjem, Pejman M; Singh, Gagandeep.
Afiliación
  • Attiyeh MA; Department of Surgical Oncology, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
  • Malhotra GK; Department of Surgery, USC, Keck School of Medicine, Los Angeles, CA 90033, USA.
  • Li D; Department of Medical Oncology, City of Hope National Medical Center, Duarte, CA 91010, USA.
  • Manoukian SB; Department of Radiology, City of Hope National Medical Center, Duarte, CA 91010, USA.
  • Motarjem PM; Department of Radiology, City of Hope National Medical Center, Duarte, CA 91010, USA.
  • Singh G; Department of Surgery, City of Hope National Medical Center, Duarte, CA 91010, USA.
Cancers (Basel) ; 15(20)2023 Oct 23.
Article en En | MEDLINE | ID: mdl-37894475
ABSTRACT

BACKGROUND:

We compared CT and MRI for staging metastatic colorectal or neuroendocrine liver metastases (CRLMs and NELMs, respectively) to assess their impact on tumor burden.

METHODS:

A prospectively maintained database was queried for patients who underwent both imaging modalities within 3 months, with two blinded radiologists (R1 and R2) independently assessing the images for liver lesions. To minimize recall bias, studies were grouped by modality, and were randomized and evaluated separately.

RESULTS:

Our query yielded 76 patients (42 CRLMs; 34 NELMs) with low interrater variability (intraclass correlation coefficients CT = 0.941, MRI = 0.975). For CRLMs, there were no significant differences in lesion number or size between CT and MRI. However, in NELMs, Eovist®-enhanced MRI detected more lesions (R1 14.3 vs. 12.1, p = 0.02; R2 14.4 vs. 12.4, p = 0.01) and smaller lesions (R1 5.7 vs. 4.4, p = 0.03; R2 4.8 vs. 2.9, p = 0.02) than CT.

CONCLUSIONS:

CT and MRI are equivalent for CRLMs, but for NELMs, MRI outperforms CT in detecting more and smaller lesions, potentially influencing treatment planning and surgery.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Cancers (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Cancers (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos