Evidence map›Paper›PMID 42273153›Full record

ArticleQuantitative imaging in medicine and surgery2026

Histogram analysis of diffusion kurtosis imaging for T restaging and predicting complete response of locally advanced rectal cancer following neoadjuvant immunotherapy.

Ziwei Jin, Lan Zhang, Fan Yang, Yiwan Guo, Na Hao, Yuan Liu, Manman Chen, Si Xu, Zhenyu Lin, Peng Sun and 4 more

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Ziwei Jin *Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID https://orcid.org/0000-0002-0083-4131
Lan Zhang *Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID https://orcid.org/0000-0002-4195-0083
Fan YangDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID https://orcid.org/0000-0001-5718-9420
Yiwan GuoDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID https://orcid.org/0009-0006-0427-7877
Na HaoDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID https://orcid.org/0009-0005-1529-9038
Yuan LiuDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID https://orcid.org/0000-0001-5331-9494
Manman ChenDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID https://orcid.org/0000-0003-1418-8107
Si XuDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID https://orcid.org/0009-0007-1653-6028
Zhenyu LinCancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID https://orcid.org/0000-0002-1733-5806
Peng SunInstitute of Research and Clinical Innovations, Neusoft Medical Systems Co. Ltd, Shenyang, China.ORCID https://orcid.org/0000-0003-3868-4180
Ning ZhengClinical & Technical Support, Philips Healthcare, Wuhan, China.ORCID https://orcid.org/0009-0003-2830-0224
Chuansheng ZhengDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID https://orcid.org/0000-0002-2435-1417
Tao ZhangCancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID https://orcid.org/0000-0003-4018-3393
Xin LiDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID https://orcid.org/0000-0002-7381-1352

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Accurate preoperative T restaging and prediction of pathological complete response (pCR) are pivotal for organ preservation strategies in locally advanced rectal cancer (LARC). However, conventional magnetic resonance imaging (MRI) shows limited accuracy after neoadjuvant therapy (NAT) because therapy-induced necrosis, edema, inflammation, and fibrosis may obscure residual tumor. Neoadjuvant immunotherapy has shown considerable promise in LARC but introduces more complex regression patterns, making post-treatment assessment even more challenging. This study aimed to evaluate the diagnostic performance of diffusion kurtosis imaging (DKI) for T restaging and pCR prediction in LARC following neoadjuvant immunotherapy. Methods: Between July 2021 and March 2023, patients with LARC who underwent neoadjuvant immunotherapy followed by surgery were enrolled prospectively. All participants underwent DKI and conventional MRI (T2WI and DWI) at baseline and following immunotherapy (before surgery). Based on postoperative pathology, patients were categorized into ypT0-1 and ypT2-4 groups, where ypT denotes the post-NAT pathological T stage, and into pCR (ypT0N0) and non-pCR groups. Histogram parameters of DKI-derived diffusivity (D) and kurtosis (K) were extracted. Two combined models, integrating DKI histogram parameters with conventional MRI, were constructed. The diagnostic performance of these models was assessed by receiver operating characteristic (ROC) analysis. Results: Sixty-four patients [median age, 58 years (interquartile range, 52-62 years); 42 men] were included. Several histogram features derived from DKI parameters D and K differed significantly between groups (all P<0.05). For T restaging, the kurtosis of K before surgery (Post-K Conclusions: Histogram analysis of DKI showed good diagnostic performance for T restaging and predicting pCR in LARC following neoadjuvant immunotherapy.

Indexed as

complete responseDiffusion kurtosis imaging (DKI)neoadjuvant immunotherapyrectal cancerT restaging

Identifiers

PMID42273153
PMCPMC13247935

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