Evidence map›Paper›PMID 34285946›Full record

ArticleInternational journal of particle therapy2021

Spot Scanning Proton Therapy for Sinonasal Malignant Tumors.

Koichiro Nakajima, Hiromitsu Iwata, Yukiko Hattori, Kento Nomura, Shingo Hashimoto, Toshiyuki Toshito, Kensuke Hayashi, Yo Kuroda, Hideo Fukano, Hiroyuki Ogino and 1 more

Open access · diamondAbstract read
In one paragraph

Article in International journal of particle therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 24% of its field
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
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  5. Estimation of the α/β ratio for metastatic melanomas in a patient based on actual responses to radiation therapy delivered with various fractionation schedules.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2026
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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

11 authors at 2 institutions in 1 country.

Koichiro NakajimaDepartment of Radiation Oncology, Nagoya Proton Therapy Center, Nagoya City West Medical Center, Nagoya, Japan.
Hiromitsu IwataDepartment of Radiation Oncology, Nagoya Proton Therapy Center, Nagoya City West Medical Center, Nagoya, Japan.
Yukiko HattoriDepartment of Radiation Oncology, Nagoya Proton Therapy Center, Nagoya City West Medical Center, Nagoya, Japan.
Kento NomuraDepartment of Radiation Oncology, Nagoya Proton Therapy Center, Nagoya City West Medical Center, Nagoya, Japan.
Shingo HashimotoDepartment of Radiology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Toshiyuki ToshitoDepartment of Proton Therapy Physics, Nagoya Proton Therapy Center, Nagoya, Japan.
Kensuke HayashiDepartment of Proton Therapy Technology, Nagoya Proton Therapy Center, Nagoya City West Medical Center, Nagoya, Japan.
Yo KurodaDepartment of Otorhinolaryngology, Nagoya City West Medical Center, Nagoya, Japan.
Hideo FukanoDepartment of Oral and Maxillofacial Surgery, Nagoya City West Medical Center, Nagoya, Japan.
Hiroyuki OginoDepartment of Radiation Oncology, Nagoya Proton Therapy Center, Nagoya City West Medical Center, Nagoya, Japan.
Yuta ShibamotoDepartment of Radiology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Nagoya Medical Center · JPNagoya City University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTreatment of sinonasal malignant tumors is challenging, and evidence to establish a standard treatment is limited. Our objective was to evaluate the efficacy and safety of spot scanning proton therapy (SSPT) for sinonasal malignant tumors. PATIENTS AND

methodsWe retrospectively analyzed patients with sinonasal malignant tumors (T1-4bN0-2M0) who underwent SSPT between May 2014 and September 2019. The prescription dose was typically either 60 GyRBE in 15 fractions or 60.8 GyRBE in 16 fractions for mucosal melanoma and 70.2 GyRBE in 26 fractions for other histologic subtypes. Endpoints included local control (LC), progression-free survival, overall survival (OS), and incidence of toxicity. Prognostic factors were analyzed using the Kaplan-Meier method and log-rank test.

resultsOf 62 enrolled patients, the common histologic subtypes were mucosal melanoma (35%), squamous cell carcinoma (27%), adenoid cystic carcinoma (16%), and olfactory neuroblastoma (10%). Locally advanced stages were common (T3 in 42% and T4 in 53%). Treatment-naïve tumors and postsurgical recurrent tumors accounted for 73% and 27%, respectively. No patient had previous radiotherapy. The median follow-up was 17 months (range, 6-66) for all patients and 21.5 months (range, 6-66) for survivors. The 2-year LC, progression-free survival, and OS rates of all patients were 92%, 50%, and 76%, respectively. Univariate analysis revealed histology as a prognostic factor for OS, being higher in adenoid cystic carcinoma and olfactory neuroblastoma than in other tumors. Sixteen grade ≥3 late toxicities were observed in 12 patients (19%), including 11 events resulting in visual impairment; the most common was cataract. There was 1 grade 4 toxicity, and there were no grade 5 toxicities.

conclusionSSPT was well tolerated and yielded good LC for sinonasal malignant tumors. Although we consider SSPT to be a leading treatment modality, further studies are required to establish its status as a standard treatment.

Indexed as

proton therapysinonasal cancerspot scanning

Identifiers

PMID34285946
PMCPMC8270097
OpenAlexW3175246129

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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 OpenQuestion graph.