Asploro Journal of Biomedical and Clinical Case Reports

Asploro Journal of Biomedical and Clinical Case Reports

Katsunori Ogura¹, Hiroshi Bando^1,2iD*, Hisako Yamashita¹, Yoshinobu Kato¹, Yoshikane Kato^1
1Kanaiso Hospital, Komatsushima, Tokushima, Japan
²Medical Research/Tokushima University, Tokushima, Japan

Corresponding Author: Hiroshi Bando ^{ORCID iD}
Address: Tokushima University /Medical Research, Nakashowa 1-61, Tokushima 770-0943, Japan.

Received date: 10 December 2025; Accepted date: 07 January 2026; Published date: 14 January 2026

Citation: Ogura K, Bando H, Yamashita H, Kato Y, Kato Y. A Case with Detailed Renal Study by the Three-Dimensional Computed Tomography (3D-CT) Reconstruction. Asp Biomed Clin Case Rep. 2026 Jan 14;9(1):01-06.

Copyright © 2026 Ogura K, Bando H, Yamashita H, Kato Y, Kato Y. This is an open-access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium provided the original work is properly cited.

Keywords: Three-Dimensional Computed Tomography, Synapse Vincent, Reconstructionm Artificial Intelligence, Transparent Image

Abbreviations: 3D-CT: Three-Dimensional Computed Tomography; AI: Artificial Intelligence

Abstract

Authors have been involved in the reconstruction procedure of three-dimensional computed tomography (3D-CT) by Synapse Vincent based on Artificial Intelligence (AI). The patient was a 62-year-old male, and 3D-CT images showed renal cysts and stones. His clinical problems included high blood pressure, cholelithiasis, alcohol consumption, obesity, liver dysfunction, renal cyst, renal stones, and left renal ureteral obstruction. As the transparent image of 3D-CT reconstruction, the right ureter was traceable, but the left ureter was not. The left kidney shows contrast medium accumulation in the renal calyx, with no urine flow due to the renal stone. Thus, 3D-CT reconstruction would be beneficial.

Introduction

Artificial Intelligence (AI) has become more known and popular nowadays. In actual clinical practice, AI has been applied in various areas, in which radiological research has developed AI technology [1]. For long, authors and co-researchers have continued various clinical reports for diseases and/or impaired functions associated with radiological investigations. Among them, Synapse Vincent with excellent AI has been applied for the diagnosis and treatment of a variety of situations [2]. Clinical application of Synapse Vincent has been useful for detecting complex judgment of the portion morphologically and radiologically [3,4].

Recently, our radiological team had an impressive experience for a male case. He has characteristic points for the renal and ureter portion, and we can detect the detailed situation from three-dimensional CT (3D-CT) reconstruction by Synapse Vincent [5]. General information associated with related perspectives is described in this article.

Case Presentation

History and Some Exams:

The patient was a 62-year-old male. His medical history included a cholecystectomy for gallstones at age 42 and a lithotripsy for liver stones at age 52. He had been diagnosed with hypertension since age 55 and had been taking amlodipine 5 mg/day. He had a long history of alcohol consumption, which had sometimes brought unstable liver function.

Physical examination showed unremarkable findings in the head, neck, chest, abdomen, and neurological tests. His physique showed 163 cm in height, 77.4 kg in weight, and 29.1 kg/m² in body mass index (BMI). His recent laboratory examination was summarized in Table-1, in which some results of unstable liver function examination have been observed. Urinalysis revealed negative results for glucose, protein, and occult blood. Chest X-ray and electrocardiogram were within normal limits.

Table-1: Progress of Biochemistry Data

Results

Our radiological analysis team has applied computerized technique of Synapse Vincent so far, and reported reconstruction images of 3D-CT. In the current case with problems of renal diseases, we had tried the minute expression for reconstruction method for kidneys and ureters, in particular. Abdominal CT was conducted, and coronal views were shown (Fig-1). It depicted bilateral moderately larger renal cysts in bilateral kidneys (1a), and a large stone with calcification in the left kidney (1b).

Fig-1: Coronal abdominal CT scan

The images of the abdominal CT reconstruction were shown in successive figures. Transparency method of abdominal CT reconstruction was shown (Fig-2). It depicted that the right ureter was traceable, but the left ureter was not (2a), and the left kidney in the contrast medium accumulation (yellow) with no urine flow due to a stone (red) (2b).

Fig-2: Abdominal CT Reconstruction (Transparency)

The additional 3D-CT reconstruction was investigated. The detailed images for the coronal view in kidneys and ureters are shown (Fig-3). The right ureter can be tracked, but the left ureter cannot (3a). The left kidney showed retained contrast, preventing urine flow due to a stone, and calcification is found in the right ureter (red), that might be a stone (3b).

Fig-3: Abdominal CT Reconstruction (Coronal Section)

Further 3D-CT reconstruction was conducted for the coronal section (Fig-4). The significant findings included that i) probable calcification exists in the middle right ureter, ii) if the angle is changed slightly, it comes off the right ureter, iii) it was diagnosed as calcification outside the urinary tract, and iv) urine in the bladder is shown in light blue (4a). Further findings showed the front view with an image of the bones added (4b). It showed that i) the kidneys are shown as transparent images, ii) the pelvic bones are located in front of the urine in the bladder, and iii) the left femoral head is shown as a realistic image.

Fig-4: Abdominal CT Reconstruction (Coronal Section)

Discussion

In the current case, his related clinical problems are summarized as follows. They are #1 high blood pressure, #2 cholelithiasis, #3 alcohol consumption, #4 obesity, #5 liver dysfunction, #6 renal cyst, #7 renal stones, and #8 left renal ureteral obstruction. The clinical effects of problem #3 would be usually linked to alcoholic hepatitis, pancreatitis, hyperuricemia, renal dysfunction, and urinary tract stones. In the current case, however, these secondary complications are not so apparent. He probably has certain relationships among #3, #4, and #5, and #6 renal cyst would be due to congenital factors or predisposition.

Recently, clinical topics include the development of medical illustration, which can become a cornerstone of detailed and accurate diagnosis and treatment for many patients [6]. Among them, three-dimensional (3D) rendering has emerged as a pioneer tool, such as Synapse Vincent. It was produced in Fujifilm Medical, Japan, that can be widely embraced as a solution for three-dimension method [7]. In the case of the images of the upper urinary tract, some segmentation for arterial, venous vessels, renal parenchyma, renal calyx, ureter, and so on would be described as different colors for detection [8].

Authors and collaborators have shown several radiological reports about 3D-CT with reconstructions, Curved Planar Reconstruction (CPR), Maximum Intensity Projection (MIP), and others [9,10,11]. As the latest information about Synapse Vincent, the detection of visceral pleural invasion (VPI) in the case of early-stage non-small-cell lung cancer (NSCLC) would be possible for pre-operative prediction by the receiver operating characteristic analysis [12]. Furthermore, Synapse Vincent showed the benefit for the lung cancer cases who could not receive the enhanced CT before the operation. The protocol included diagnostic level of detailed lung anatomy between the comparison of enhanced computed tomography (ECT) and unenhanced computed tomography (UECT) [13]. As a result of statistical analyses, 3D-image by UECT data showed comparable to that of ECT for achieving pulmonary lobar and partial segmental branch degrees. Consequently, clinical achievement of Synapse Vincent has shown rapid evolution.

Some limitation may exist in the current article. He was diagnosed as renal cyst and his detailed pathophysiology was suggested by the 3D-CT. His lifestyle includes continuous alcohol consumption, and then liver function, uric acid level, renal function, renal stone and related complication will be carefully followed up in the future.

In conclusion, a 62-year-old male showed renal problems according to the 3D-CT images by Synapse Vincent. Detailed reconstructed data can bring various clinical benefits to patients. The development of 3D-CT technology will be expected in the future.

Conflict of Interest

The authors have read and approved the final version of the manuscript. The authors have no conflicts of interest to declare.

References

[1] Tanabe M, Kawano Y, Inoue A, Miyoshi K, Furutani H, Ihara K, Higashi M, Ito K. Image quality in three-dimensional (3D) contrast-enhanced dynamic magnetic resonance imaging of the abdomen using deep learning denoising technique: intraindividual comparison between T1-weighted sequences with compressed sensing and with a modified Fast 3D mode wheel. Jpn J Radiol. 2025 Mar;43(3):455-62. [PMID: 39503820]

[2] Ogura K, Bando H, Kato Y, Kawata T, Kato Y. Early Detection of Pulmonary Lesion by The Reconstruction of Three-Dimensional (3D) Computed Tomography (CT). Asp Biomed Clin Case Rep. 2024 Sept 16;7(3):270-74.

[3] Zhang H, Liu S, Dong B, Liu J, Guo X, Chen G, Jiang Y, Wu Y, Zhang J, Wang X. The Atlas of the Inferior Mesenteric Artery and Vein under Maximum-Intensity Projection and Three-Dimensional Reconstruction View. J Clin Med. 2024 Feb 2;13(3):879. [PMID: 38337571]

[4] Muro S, Ibara T, Sugiyama Y, Nimura A, Akita K. Evaluating accuracy in artificial intelligence-powered serial segmentation for sectional images applied to morphological studies with three-dimensional reconstruction. Microscopy (Oxf). 2025 Mar 31;74(2):107-16. [PMID: 39948740]

[5] Ogura K, Bando H, Kato Y, Kawata T, Kato Y. A Case with Nutcracker Syndrome (NCS) with Intestinal Compression by Three-Dimensional Computed Tomography (3D-CT) Reconstruction. Asp Biomed Clin Case Rep. 2025 May 07;8(2):89-94.

[6] Kojo K, Kim J, Saida T, Ohta T, Sano K, Kandori S, Hoshi A, Negoro H, Nishiyama H. Practical Step-by-step SYNAPSE VINCENT Rendering of Three-dimensional Graphics in Horseshoe Kidney with Bilateral Varicoceles. JMA J. 2024 Oct 15;7(4):471-86. [PMID: 39513055]

[7] Chen-Yoshikawa TF. Evolution of Three-Dimensional Computed Tomography Imaging in Thoracic Surgery. Cancers (Basel). 2024 Jun 6;16(11):2161. [PMID: 38893279]

[8] Kin T. Editorial for Practical Step-by-step SYNAPSE VINCENT Rendering of Three-dimensional Graphics in Horseshoe Kidney with Bilateral Varicoceles. JMA J. 2024 Oct 15;7(4):487-88. [PMID: 39513081]

[9] Ogura K, Bando H, Kato Y, Kawata T, Kato Y. Useful Fusion Image Measure of CT and MRI for Detail Assessment in Low Pain (LBP). Int J Case Rep Clin Image. 2024;6(2):221.

[10] Yamashita H, Ogura K, Bando H, Kato Y, Kato Y. Slight Bronchopneumonia in A Centenarian Diagnosed by Chest CT Scan with Maximum Intensity Projection (MIP). Asp Biomed Clin Case Rep. 2023 Aug 17;6(3):216-21.

[11] Ogura K, Bando H, Kato Y, Kawata T, Kato Y. Detection of Pancreatic Tumor by The Radiological Measure of Curved Planar Reconstruction (CPR). Asp Biomed Clin Case Rep. 2024 Apr 24;7(2):94-98.

[12] Nagase W, Harada K, Kudo Y, Matsubayashi J, Takada I, Park J, Murakami K, Ohira T, Nagao T, Taguri M, Ikeda N. AI-driven 3D CT imaging prediction model for improving preoperative detection of visceral pleural invasion in early-stage lung cancer. PLoS One. 2025 Oct 17;20(10):e0332956. [PMID: 41105607]

[13] Fukuta K, Shimada Y, Nagamatu Y, Amemiya R, Oomori T, Furumoto H, Kudo Y, Oba T, Hagiwara M, Kakihana M, Park J, Ohira T, Ikeda N. Accuracy of artificial intelligence-based simulation for assessing lung vessels and volume using unenhanced computed tomography. Eur J Cardiothorac Surg. 2025 Mar 4;67(3):ezae449. [PMID: 40120091]