Evidence map›Paper›PMID 39276193›Full record

ArticleAbdominal radiology (New York)2025

Predictive value of mono-exponential and multiple mathematical models in locally advanced rectal cancer response to neoadjuvant chemoradiotherapy.

Mi Zhou, Mengyuan Chen, Meining Chen, Xu Yan, Guang Yang, Hongyun Huang

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Article in Abdominal radiology (New York), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Mi Zhousichuan provincial orthopedics hospital, Chengdu, China.
Mengyuan ChenSichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Meining ChenSiemens Healthineers (China), Pudong, China.
Xu YanSiemens Healthineers (China), Pudong, China.
Guang YangEast China Normal University, Shanghai, China.
Hongyun HuangSichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China. HHY730418@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis prospective study aimed to assess the predictive value of mono-exponential and multiple mathematical diffusion-weighted imaging (DWI) models in determining the response to neoadjuvant chemoradiotherapy (nCRT) in patients with locally advanced rectal cancer (LARC).

methodsThe study included 103 LARC patients scheduled for preoperative chemoradiotherapy between December 2021 and June 2023 Magnetic resonance imaging (MRI) scans were performed using a 3.0-T MR scanner, encompassing sagittal, axial, and oblique coronal T2-weighted images without fat saturation, along with DWI perpendicular to the rectum's long axis. Various DWI parameters, including apparent diffusion coefficient (ADC), stretched exponential model (SEM), continuous-time random-walk model (CTRW), and fractional-order calculus model (FROC), were measured. The pathologic complete response (pCR) rate and tumor downstaging (T-downstage) rate were determined.

resultsAfter nCRT, SEM-α, SEM-DDC, CTRW-α, CTRW-β, CTRW-D, FROC-β, and ADC values were significantly higher in the pCR group compared to the non-pCR group (all P < 0.05). SEM-DDC, CTRW-α, CTRW-D, FROC-β, FROC-µ, and ADC values were significantly higher in the T-downstage group (ypT0-1) than in the non-T-downstage group (ypT2-4) (P < 0.05). The combination of CTRW (α + β + D) exhibited the best diagnostic performance for assessing pCR after nCRT (AUC = 0.840, P < 0.001). Pre-nCRT CTRW (α + β) demonstrated a predictive AUC of 0.652 (95%CI: 0.552-0.743), 90.3% sensitivity, and 43.1% specificity for pCR. Regarding T-downstage assessment after nCRT, the combination of CTRW (α + D) yielded the best diagnostic performance (AUC = 0.877, P = 0.048).

conclusionIn LARC patients, imaging markers derived from CTRW show promise in predicting tumor response before nCRT and assessing pCR after nCRT.

Indexed as

ChemoradiotherapyDiffusion Magnetic Resonance ImagingNeoadjuvant TherapyRectal NeoplasmsAdultAgedFemaleHumansMaleMiddle AgedModels, TheoreticalNeoplasm StagingPredictive Value of TestsProspective StudiesTreatment OutcomeDiffusion-weighted imagingMathematical modelsNeoadjuvant chemoradiotherapyRectal neoplasms

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.