Predictive model based on magnetic resonance imaging for chemotherapy response in colorectal cancer: Toward a radiologic biopsy approach

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Jan 15, 2026 (publication date) through Jan 12, 2026

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World Journal of Gastrointestinal Oncology

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1948-5204

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Gastrointest Oncol. Jan 15, 2026; 18(1): 115117
Published online Jan 15, 2026. doi: 10.4251/wjgo.v18.i1.115117

Table 1 Comparison of the key parameters of radiology-guided and radiologic biopsy approaches

Parameter	Radiology-guided biopsy	Radiologic biopsy
Invasiveness	Mini-invasive surgical/needle extraction	Minimally invasive (contrast agent injection only)
Spatial coverage	Single small sample	Entire lesion, margins, surrounding tissue
Spatial resolution	High	Medium
Temporal resolution	Histology processing time (days)	Real-time to minutes
3D information	Limited (serial sections)	Complete 3D reconstruction
Molecular profiling	Histology, IHC, genomics	Multiplexed (limited markers)
Sampling error	High (tumor heterogeneity)	Medium (complete lesion surveyed)
Repeat assessment	Requires new biopsy	Non-destructive, repeatable
Functional information	Static snapshot	Limited dynamics

IHC: Immunohistochemistry.

Citation: Klabukov ID, Smirnova A, Kondrasheva I, Baranovskii DS, Yatsenko E. Predictive model based on magnetic resonance imaging for chemotherapy response in colorectal cancer: Toward a radiologic biopsy approach. World J Gastrointest Oncol 2026; 18(1): 115117
URL: https://www.wjgnet.com/1948-5204/full/v18/i1/115117.htm
DOI: https://dx.doi.org/10.4251/wjgo.v18.i1.115117