Evidence map›Paper›PMID 37711275›Full record

ArticleVideo-assisted thoracic surgery2023

Anatomy of the lung revisited by 3D-CT imaging.

Seshiru Nakazawa, Toshiteru Nagashima, Natsuko Kawatani, Patrick C Gedeon, Ariadne K DeSimone, Hitoshi Igai, Takayuki Kosaka, Ken Shirabe

Abstract read
In one paragraph

Article in Video-assisted thoracic surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. 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

8 authors.

Seshiru NakazawaDepartment of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Japan.ORCID 0000-0001-6218-9396
Toshiteru NagashimaDepartment of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Japan.
Natsuko KawataniDepartment of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Japan.
Patrick C GedeonDepartment of Surgery, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Ariadne K DeSimoneDepartment of Radiology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Hitoshi IgaiDepartment of General Thoracic Surgery, Japanese Red Cross Maebashi Hospital, Maebashi, Japan.
Takayuki KosakaDepartment of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Japan.
Ken ShirabeDepartment of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Japan.

Funding

Medical Scientist Training Program Training GrantT32GM145449 · NIGMS · DUKE UNIVERSITY · PI Christopher D Kontos · 2022 to 2026
$6.6M
Dual targeting of cGAS-STING and splicing to prime lung cancer immunogenicityF32CA284615 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI GEDEON, PATRICK C · 2023 to 2023
$76k
NCI NIH HHS F32 CA284615NIGMS NIH HHS T32 GM145449
6 · The paper itself

Abstract

The anatomy of the lung was originally described based on data acquired from cadaveric studies and surgical findings. Over time, computed tomography (CT) and three-dimensional (3D) imaging techniques have been developed, allowing for reconstruction and understanding of lung anatomy in a more intuitive way. The wide adoption of 3D-CT imaging technology has led to a variety of anatomical studies performed not only by anatomists but also by surgeons and radiologists. Such studies have led to new or modified classification systems, shed light on lung anatomy from a useful surgical viewpoint, and enabled us to analyze lung anatomy with a focus on particular anatomical features. 3D images also allow for enhanced pre- and intra-operative simulation, improved surgical safety, enhanced educational utility, and the capacity to perform large-scale anatomical studies in shorter time frames. We will review here the key features of 3D-CT imaging of the lung, along with representative anatomical studies regarding (I) general lung anatomy, (II) anatomy of the right and left lobes, and (III) features of interlobar vessels. The current surge of 3D imaging analysis shows that the field is growing, with the technology continuing to improve. Future studies using these new and innovative methodologies will continue to refine our understanding of lung anatomy while enhancing our ability to perform safe and effective surgical resections.

Indexed as

3D imaginganatomyLung

Identifiers

PMID37711275
PMCPMC10501054

What OpenQuestion holds

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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.