Evidence map›Paper›PMID 36245586›Full record

ArticleJournal of thoracic disease2022

Reliability of dynamic perfusion digital radiography as an alternative to pulmonary perfusion scintigraphy in predicting postoperative lung function and complications.

Jun Hanaoka, Takuya Shiratori, Keigo Okamoto, Ryosuke Kaku, Yo Kawaguchi, Yasuhiko Ohshio, Akinaga Sonoda

Open access · diamondAbstract read
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Article in Journal of thoracic disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Jun HanaokaDivision of General Thoracic Surgery, Department of Surgery, Shiga University of Medical Science, Otsu, Shiga, Japan.
Takuya ShiratoriDivision of General Thoracic Surgery, Department of Surgery, Shiga University of Medical Science, Otsu, Shiga, Japan.
Keigo OkamotoDivision of General Thoracic Surgery, Department of Surgery, Shiga University of Medical Science, Otsu, Shiga, Japan.
Ryosuke KakuDivision of General Thoracic Surgery, Department of Surgery, Shiga University of Medical Science, Otsu, Shiga, Japan.
Yo KawaguchiDivision of General Thoracic Surgery, Department of Surgery, Shiga University of Medical Science, Otsu, Shiga, Japan.
Yasuhiko OhshioDivision of General Thoracic Surgery, Department of Surgery, Shiga University of Medical Science, Otsu, Shiga, Japan.
Akinaga SonodaDepartment of Radiology, Shiga University of Medical Science, Shiga, Japan.
Shiga University of Medical Science · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Accurate perioperative risk assessment can enhance the perioperative management of patients undergoing radical surgery for lung cancer. In this study, we compared the accuracy of predicting perioperative complications by lung function values, estimated by blood flow ratios (BFRs), to determine whether dynamic perfusion digital radiography (DPDR) could substitute for pulmonary perfusion scintigraphy (PPS). Methods: Patients scheduled for radical surgery for lung cancer who underwent simultaneous dynamic chest radiography (DCR) and lung perfusion scintigraphy were assessed. We confirmed the agreement between two methods in the assessment of the BFR and its predicted postoperative (ppo) value. Besides, the best spirometry thresholds for the risk of perioperative respiratory or cardiovascular complications were calculated from a receiver operating characteristic (ROC) analysis. The imaging methods were compared for sensitivity and specificity. Results: Among the 44 cases enrolled, DPDR and PPS showed high correlations in BFR (r=0.868, P<0.01) and its postoperative value (r=0.975, P<0.01) and between the predicted and measured spirometry values. In both imaging modalities, the estimated postoperative diffusing capacity test for carbon monoxide (DLco) had the best prediction [area under the curve (AUC) >0.7] for respiratory complications within 1 month (with different cut-offs for same target cases). For predicting, respiratory complications within 1-3 months after surgery, these values were similar between two modalities. Furthermore, the ppoDLco values from both imaging methods were excellent indicators of the induction of postoperative long term oxygen therapy, with the AUC greater than 0.8. Conclusions: This study showed that simple and less invasive DPDR can be a good alternative to PPS for predicting postoperative pulmonary function values and the risk of postoperative respiratory complications. This new imaging modality will offer new insights and possible functional analyses of pulmonary circulation.

Indexed as

Dynamic perfusion digital radiography (DPDR)postoperative complicationprediction of postoperative respiratory functionpulmonary perfusion scintigraphy (PPS)

Identifiers

PMID36245586
PMCPMC9562549
OpenAlexW4285414178

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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.