Evidence mapPaperPMID 40586994Full record

ReviewJapanese journal of radiology2025

RANO 2.0: critical updates and practical considerations for radiological assessment in neuro-oncology.

Akihiko Sakata, Yasutaka Fushimi, Sonoko Oshima, Megumi Uto, Yohei Mineharu, Satoshi Nakajima, Sachi Okuchi, Takayuki Yamamoto, Sayo Otani, Satoshi Ikeda and 4 more

Abstract readReview
In one paragraph

Review in Japanese journal of radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Akihiko SakataDepartment of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan. asakata@kuhp.kyoto-u.ac.jp.ORCID http://orcid.org/0000-0002-3647-7877
Yasutaka FushimiDepartment of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan.
Sonoko OshimaDepartment of Diagnostic Radiology, Shiga General Hospital, 5-4-30, Moriyama-Cho, Moriyama, 524-8524, Japan.
Megumi UtoDepartment of Radiation Oncology, Graduate School of Medicine, Kyoto University, Kyoto, 606-8507, Japan.
Yohei MineharuDepartment of Neurosurgery, Graduate School of Medicine, Kyoto University, Kyoto, 606-8507, Japan.
Satoshi NakajimaDepartment of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan.
Sachi OkuchiDepartment of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan.
Takayuki YamamotoDepartment of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan.
Sayo OtaniDepartment of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan.
Satoshi IkedaDepartment of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan.
Shigeki TakadaDepartment of Neurosurgery, Graduate School of Medicine, Kyoto University, Kyoto, 606-8507, Japan.
Takashi MizowakiDepartment of Radiation Oncology, Graduate School of Medicine, Kyoto University, Kyoto, 606-8507, Japan.
Yoshiki ArakawaDepartment of Neurosurgery, Graduate School of Medicine, Kyoto University, Kyoto, 606-8507, Japan.
Yuji NakamotoDepartment of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan.

Funding

Kyoto University ISHIZUE 2024
6 · The paper itself

Abstract

Appropriate response assessment criteria are crucial for accurate evaluation of clinical trial outcomes, and numerous criteria have been proposed to address this need. With the introduction of Response Assessment in Neuro-Oncology (RANO) criteria version 2.0 (RANO 2.0) in 2023, response assessment in gliomas has evolved significantly, requiring both clinicians and radiologists to develop a comprehensive understanding of its modifications and implementation. This review first provides an overview of standard management and imaging schedule in glioma treatment. We then review the basic framework of RANO 2.0, inherited from previous response criteria, with particular emphasis on major modifications to this framework: the implementation of the Brain Tumor Imaging Protocol and the adoption of post-radiation scan as the baseline scan. Additionally, we analyze critical changes in response evaluation and interpretation, specifically focusing on the role of preliminary progressive disease assessment with confirmation scans, and the elimination of T2/FLAIR lesion measurements from enhancing tumor assessment. Through illustrative clinical cases, we demonstrate the practical application of these modifications and discuss the implementation of three distinct imaging-based categories: enhancing tumor, non-enhancing tumor, and tumors with both enhancing and non-enhancing components (in short, mixed tumor). This comprehensive narrative review provides clinicians with practical guidance for implementing RANO 2.0 in their clinical practice.

Indexed as

Brain NeoplasmsGliomaMagnetic Resonance ImagingNeuroimagingResponse Evaluation Criteria in Solid TumorsBrainHumansGliomaMRIPseudoprogressionPseudoresponseRANO 2.0Treatment response criteria

Identifiers

PMID40586994
PMCPMC12479667

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.