Evidence map›Paper›PMID 25914470›Full record

ArticleWorld journal of gastroenterology2015

Three-dimensional morphometric analysis for hepatectomy of centrally located hepatocellular carcinoma: a pilot study.

Fei Tian, Jian-Xiong Wu, Wei-Qi Rong, Li-Ming Wang, Fan Wu, Wei-Bo Yu, Song-Lin An, Fa-Qiang Liu, Li Feng, Chao Bi and 1 more

Open access · hybridAbstract readComparative Study
In one paragraph

Article in World journal of gastroenterology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

10 citing papers in PubMed, 20 citations in OpenAlex.

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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 1 institution in 1 country.

Fei TianFei Tian, Jian-Xiong Wu, Wei-Qi Rong, Li-Ming Wang, Fan Wu, Wei-Bo Yu, Song-Lin An, Fa-Qiang Liu, Li Feng, Chao Bi, Yun-He Liu, Abdominal Surgery Department, Cancer Institute and Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100021, China.
Jian-Xiong WuFei Tian, Jian-Xiong Wu, Wei-Qi Rong, Li-Ming Wang, Fan Wu, Wei-Bo Yu, Song-Lin An, Fa-Qiang Liu, Li Feng, Chao Bi, Yun-He Liu, Abdominal Surgery Department, Cancer Institute and Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100021, China.
Wei-Qi RongFei Tian, Jian-Xiong Wu, Wei-Qi Rong, Li-Ming Wang, Fan Wu, Wei-Bo Yu, Song-Lin An, Fa-Qiang Liu, Li Feng, Chao Bi, Yun-He Liu, Abdominal Surgery Department, Cancer Institute and Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100021, China.
Li-Ming WangFei Tian, Jian-Xiong Wu, Wei-Qi Rong, Li-Ming Wang, Fan Wu, Wei-Bo Yu, Song-Lin An, Fa-Qiang Liu, Li Feng, Chao Bi, Yun-He Liu, Abdominal Surgery Department, Cancer Institute and Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100021, China.
Fan WuFei Tian, Jian-Xiong Wu, Wei-Qi Rong, Li-Ming Wang, Fan Wu, Wei-Bo Yu, Song-Lin An, Fa-Qiang Liu, Li Feng, Chao Bi, Yun-He Liu, Abdominal Surgery Department, Cancer Institute and Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100021, China.
Wei-Bo YuFei Tian, Jian-Xiong Wu, Wei-Qi Rong, Li-Ming Wang, Fan Wu, Wei-Bo Yu, Song-Lin An, Fa-Qiang Liu, Li Feng, Chao Bi, Yun-He Liu, Abdominal Surgery Department, Cancer Institute and Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100021, China.
Song-Lin AnFei Tian, Jian-Xiong Wu, Wei-Qi Rong, Li-Ming Wang, Fan Wu, Wei-Bo Yu, Song-Lin An, Fa-Qiang Liu, Li Feng, Chao Bi, Yun-He Liu, Abdominal Surgery Department, Cancer Institute and Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100021, China.
Fa-Qiang LiuFei Tian, Jian-Xiong Wu, Wei-Qi Rong, Li-Ming Wang, Fan Wu, Wei-Bo Yu, Song-Lin An, Fa-Qiang Liu, Li Feng, Chao Bi, Yun-He Liu, Abdominal Surgery Department, Cancer Institute and Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100021, China.
Li FengFei Tian, Jian-Xiong Wu, Wei-Qi Rong, Li-Ming Wang, Fan Wu, Wei-Bo Yu, Song-Lin An, Fa-Qiang Liu, Li Feng, Chao Bi, Yun-He Liu, Abdominal Surgery Department, Cancer Institute and Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100021, China.
Chao BiFei Tian, Jian-Xiong Wu, Wei-Qi Rong, Li-Ming Wang, Fan Wu, Wei-Bo Yu, Song-Lin An, Fa-Qiang Liu, Li Feng, Chao Bi, Yun-He Liu, Abdominal Surgery Department, Cancer Institute and Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100021, China.
Yun-He LiuFei Tian, Jian-Xiong Wu, Wei-Qi Rong, Li-Ming Wang, Fan Wu, Wei-Bo Yu, Song-Lin An, Fa-Qiang Liu, Li Feng, Chao Bi, Yun-He Liu, Abdominal Surgery Department, Cancer Institute and Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100021, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo describe a three-dimensional model (3DM) to accurately reconstruct anatomic relationships of centrally located hepatocellular carcinomas (HCCs).

methodsFrom March 2013 to July 2014, reconstructions and visual simulations of centrally located HCCs were performed in 39 patients using a 3D subject-based computed tomography (CT) model with custom-developed software. CT images were used for the 3D reconstruction of Couinaud's pedicles and hepatic veins, and the calculation of corresponding tumor territories and hepatic segments was performed using Yorktal DMIT software. The respective volume, surgical margin, and simulated virtual resection of tumors were also estimated by this model preoperatively. All patients were treated surgically and the results were retrospectively assessed. Clinical characteristics, imaging data, procedure variables, pathologic features, and postoperative data were recorded and compared to determine the reliability of the model.

results3D reconstruction allowed stereoscopic identification of the spatial relationships between physiologic and pathologic structures, and offered quantifiable liver resection proposals based on individualized liver anatomy. The predicted values were consistent with the actual values for tumor mass volume (82.4 ± 109.1 mL vs 84.1 ± 108.9 mL, P = 0.910), surgical margin (10.1 ± 6.2 mm vs 9.1 ± 5.9 mm, P = 0.488), and maximum tumor diameter (4.61 ± 2.16 cm vs 4.53 ± 2.14 cm, P = 0.871). In addition, the number and extent of portal venous ramifications, as well as their relation to hepatic veins, were visualized. Preoperative planning based on simulated resection facilitated complete resection of large tumors located in the confluence of major vessels. And most of the predicted data were correlated with intraoperative findings.

conclusionThis 3DM provides quantitative morphometry of tumor masses and a stereo-relationship with adjacent structures, thus providing a promising technique for the management of centrally located HCCs.

Indexed as

AdultAgedAged, 80 and overCarcinoma, HepatocellularComputer SimulationFemaleHepatectomyHumansImaging, Three-DimensionalLiver NeoplasmsMaleMiddle AgedPilot ProjectsPredictive Value of TestsRadiographic Image Interpretation, Computer-AssistedReproducibility of ResultsCentrally locatedHepatectomyHepatocellular carcinomaLiverThree-dimensional model

Identifiers

PMID25914470
PMCPMC4402308
OpenAlexW2398380219

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Registered trials

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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.