Evidence map›Paper›PMID 36799183›Full record

ArticleOncology reports2023

Use of time‑density curves of dynamic contrast‑enhanced computed tomography for determination of the histological therapeutic effects of neoadjuvant chemotherapy for pancreatic ductal adenocarcinoma.

Shintaro Goto, Tadashi Yoshizawa, Keinosuke Ishido, Hiroko Seino, Satoko Morohashi, Hirokazu Ogasawara, Shunsuke Kubota, Kenta Ogasawara, Akie Nakamura, Kenichi Hakamada and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Oncology reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 35% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

11 authors at 2 institutions in 1 country.

Shintaro GotoDepartment of Pathology and Bioscience, Hirosaki University Graduate School of Medicine, Hirosaki, Aomori 036‑8562, Japan.
Tadashi YoshizawaDepartment of Pathology and Bioscience, Hirosaki University Graduate School of Medicine, Hirosaki, Aomori 036‑8562, Japan.
Keinosuke IshidoDepartment of Gastroenterological Surgery, Hirosaki University Graduate School of Medicine, Hirosaki, Aomori 036‑8562, Japan.
Hiroko SeinoDepartment of Radiology, Aomori National Hospital, Namioka, Aomori 038‑1338, Japan.
Satoko MorohashiDepartment of Pathology and Bioscience, Hirosaki University Graduate School of Medicine, Hirosaki, Aomori 036‑8562, Japan.
Hirokazu OgasawaraDepartment of Gastroenterological Surgery, Hirosaki University Graduate School of Medicine, Hirosaki, Aomori 036‑8562, Japan.
Shunsuke KubotaDepartment of Gastroenterological Surgery, Hirosaki University Graduate School of Medicine, Hirosaki, Aomori 036‑8562, Japan.
Kenta OgasawaraDepartment of Gastroenterological Surgery, Hirosaki University Graduate School of Medicine, Hirosaki, Aomori 036‑8562, Japan.
Akie NakamuraDepartment of Gastroenterological Surgery, Hirosaki University Graduate School of Medicine, Hirosaki, Aomori 036‑8562, Japan.
Kenichi HakamadaDepartment of Gastroenterological Surgery, Hirosaki University Graduate School of Medicine, Hirosaki, Aomori 036‑8562, Japan.
Hiroshi KijimaDepartment of Pathology and Bioscience, Hirosaki University Graduate School of Medicine, Hirosaki, Aomori 036‑8562, Japan.
Hirosaki University · JPAomori Rosai Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study aimed to investigate the histological changes caused by neoadjuvant chemotherapy (NAC) for pancreatic ductal adenocarcinoma (PDAC), and to demonstrate the use of time‑density curves (TDCs) of dynamic contrast‑enhanced computed tomography (CECT) for determination of the histological therapeutic effects of NAC for PDAC. A total of 96 patients with PDAC were examined; 46 underwent NAC (NAC group) and 50 did not undergo NAC (non‑NAC group). Based on histological therapeutic effect and using the area of residual tumor (ART) grading system, the NAC group was divided into low‑responders and high‑responders. Histological analysis was used to evaluate the densities of cancer cells, cancer‑associated fibroblasts (CAFs), microvessels and stromal collagen fibers in the NAC and non‑NAC groups. Radiological analysis was used to evaluate the TDCs of three slopes of the NAC group, namely slopes between the non‑contrast and arterial phases (δ1 and δ1'), between the arterial and portal phases (δ2 and δ2'), and between the portal and equilibrium phases (δ3 and δ3'). δ1‑δ3 were before NAC, whereas δ1'‑δ3' were after NAC. Changes in δ1, δ2 and δ3 before and after NAC were denoted as δδ1 (=δ1'‑δ1), δδ2 (=δ2'‑δ2) and δδ3 (=δ3'‑δ3). ART grading system, histological examination and radiological examination data were also statistically analyzed. Histological examination revealed a significant decrease in cancer cells and CAFs, and a significant increase in stromal collagen fibers due to NAC (P<0.01). Radiological examination revealed that δ1' was significantly higher than δ1 in low‑responders (P<0.05), whereas δ2' was significantly lower than δ2 in high‑responders (P<0.01). δδ2 was significantly lower and δδ3 was significantly higher in high‑responders than in low‑responders (P<0.01 and P<0.05, respectively). Receiver operating characteristic curve showed that δδ2 and δδ3 were effective indicators of the histological therapeutic effect of NAC. In conclusion, the TDC of dynamic CECT may be useful for determining the histological therapeutic effect of NAC for PDAC.

Indexed as

Carcinoma, Pancreatic DuctalPancreatic NeoplasmsCollagenHumansNeoadjuvant TherapyRetrospective StudiesTomography, X-Ray ComputedCollagenARTdynamic CECThistological therapeutic effectNACpancreatic cancerPDACTDC

Identifiers

PMID36799183
PMCPMC9942254
OpenAlexW4320496107

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.