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Keywords = five-quadrant segmentation

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27 pages, 10895 KiB  
Article
A Case Series and Literature Review of Alveolar Echinococcosis in Kashmir, India: An Emerging Endemic Zone for Echinococcus multilocularis
by Mohammad Sultan Khuroo, Naira Sultan Khuroo and Ajaz Ahmad Rather
Life 2024, 14(7), 794; https://doi.org/10.3390/life14070794 - 24 Jun 2024
Viewed by 1285
Abstract
A prospective study on 110 patients with echinococcosis at Dr. Khuroo’s Medical Clinic, Srinagar, Kashmir, India, from March 2019 to April 2024 identified 12 cases (4 males, 8 females; mean age of 46.58 ± 11.97 years) of Alveolar echinococcosis (AE). Two patients were [...] Read more.
A prospective study on 110 patients with echinococcosis at Dr. Khuroo’s Medical Clinic, Srinagar, Kashmir, India, from March 2019 to April 2024 identified 12 cases (4 males, 8 females; mean age of 46.58 ± 11.97 years) of Alveolar echinococcosis (AE). Two patients were detected through ultrasound examinations carried out for unrelated causes; one presented with features of liver abscess, and nine had pain in the right upper quadrant for a mean period of 2.2 ± 1.79 years. All had the liver as the primary organ involved, with 15 tumor masses of a mean maximum diameter of 9.22 ± 3.21 cm and volume of 426 ± 374.61 cm3. Tumors placed centrally had invaded vessels and the biliary tract in eight patients, and those placed peripherally had invaded the liver capsule and adjacent organs in nine patients. Histologic examination of liver biopsies or resected organs revealed necrotic lesions, calcifications, and granulomatous inflammation with slender, thin-walled vesicles of bizarre configuration that stained strongly eosinophilic with periodic acid Schiff. Two patients had segmental liver resections; one was treated with liver aspiration, while the other nine with advanced disease received chemotherapy with albendazole along with praziquantel. Patients showed clinical improvement on a median follow-up of 12 months (range 1 to 60 months); however, MRI T2-weighted images and 18F-FDG-PET-CECT scans in two patients showed active disease on follow-up at one and five years, respectively. A systematic review detected 146 cases of AE in India from 1980 to April 2024. Twenty cases were from foreign countries, mostly from Central Asian republics, and 118 (93.65%) of the remaining 126 Indian patients were permanent residents of Kashmir Valley. The disease affected a population of 79,197 residing in 22 villages from 5 border districts of the valley. These villages were either high in or adjacent to the Himalayan mountain range. Disease prevalence in the affected population was 146.47/105 (males 131.53/105 and females 163.18/105) and the incidence was 12.41/105/year (males 11.16/105/year and females 13.81/105/year). Possible causes of the emergence of AE are discussed, and future directions for research to face this challenge arebeen identified. Full article
(This article belongs to the Special Issue Trends in Microbiology 2024)
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Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>Liver volumetry. (<b>A</b>) Image of the liver extracted from the CD ROM with two masses (arrows). (<b>B</b>) Contouring the mass (red circle) in the left lobe using the dimensions of the slice (arrow). (<b>C</b>) Three-dimensional image of the tumor mass. (<b>D</b>) Three-dimensional image of the liver after liver contouring. Volumes: Left lobe tumor 174.2 cm<sup>3</sup>, right lobe tumor 80.3 cm<sup>3</sup>. Liver volume 1900 cm<sup>3</sup>. For details of the liver volumetry calculation, refer to <a href="#app1-life-14-00794" class="html-app">Supplementary Document S1</a>.</p>
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<p>Year-wise distribution of cases of cystic echinococcosis (CE) and alveolar echinococcosis (AE) registered and prospectively followed at Dr. Khuroo’s Medical Clinic from March 2019 to April 2024.</p>
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<p>Alveolar echinococcosis. (<b>A</b>) Ultrasonography revealed a 7.0 × 6.7 cm lesion (straight arrows) in hepatic segment VII, with variable echo pattern and diffuse internal microcalcification (curved arrows). (<b>B</b>) T2W1 magnetic resonance imaging showed a liver lesion (straight arrows) containing numerous hyperintense microcysts (curved arrows) (Kodama type 1). The portal venous system, the hepatic veins, and the biliary ducts were not involved. (<b>C</b>) Positive emission tomography revealed fluorodeoxyglucose uptake at the periphery of the lesion (straight arrows) and no uptake in the center (curved arrow). (<b>D</b>) A laparoscopic guided liver biopsy of the mass revealed a fibrotic lesion containing numerous cysts, with laminar membranes stained intensely with periodic acid-Schiff stain (straight arrow). Diffuse dystrophic calcification within the cysts (curved arrows) and stroma. Hydatid hooklets were not seen in the lesion.</p>
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<p>Alveolar echinococcosis. (<b>A</b>) NCCT. A large hypodense lesion in the left lobe invades the liver capsule with dense tumor calcification (arrow). (<b>B</b>) MRI. T2WI. Two tumor masses. The left lobe mass is hyperintense with a hypointense periphery, with involvement of the gastrohepatic ligament (arrow). The right lobe mass is hypointense, with involvement of the liver capsule. (<b>C</b>) CECT. Tumor mass in segment IV, with involvement and thickening of the right crura of the diaphragm (arrow). (<b>D</b>) CECT. Hypodense mass in the right lobe of the liver blocking a branch of the right portal vein (arrow). (<b>E</b>) CECT. Tumor mass in the right adrenal gland (arrow), with lymph nodes around IVC. (<b>F</b>) CT chest. Two nodular opacities in the right and left lungs (arrows).</p>
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<p>Alveolar echinococcosis with infiltration into the liver capsule, diaphragm, and omentum. The patient had a liver mass in the right lobe and another mass in the left lobe. Laparoscopy: (<b>A</b>) Right lobe of the liver with extensive yellow, cake-like, cheesy material (straight arrows) covering the liver capsule. (<b>B</b>) Left lobe of the liver with yellow cheesy material (straight arrow), liver capsule, and diaphragm. (<b>C</b>) Omentum with infiltration by yellow cheesy material (curly arrow). (<b>D</b>) Cut surface of the right lobe showing the tumor mass (curly arrows) with tiny, sponge-like cysts (microvesicles).</p>
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<p>Alveolar echinococcosis. (<b>A</b>) HE × 100. Extensive necrosis with pale-pink laminated membranes of vesicles (arrow). (<b>B</b>) PAS × 100. Numerous vesicles of bizarre configuration and tubular growth patterns, with slender laminated membranes, strongly stained with PAS (arrows). (<b>C</b>) PAS × 200. A close-up view of laminated membranes of vesicles showing deep-violet PAS staining (arrow). (<b>D</b>) PAS × 100. Extensive necrosis with granulomatous reaction (arrow). (<b>E</b>) PAS × 100. A collapsed laminated membrane of a vesicle (arrow) with surrounding dense inflammation. (<b>F</b>) PAS × 100. Dense tissue calcification stained red (arrow).</p>
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<p>Flow diagram of the systematic review, as per PRISMA guidelines.</p>
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<p>A map of Kashmir Valley with surrounding mountainous ranges shows the origin of 39 alveolar echinococcosis cases and their geographical characteristics.</p>
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13 pages, 4434 KiB  
Article
An Anti-Noise Fast Circle Detection Method Using Five-Quadrant Segmentation
by Yun Ou, Honggui Deng, Yang Liu, Zeyu Zhang and Xin Lan
Sensors 2023, 23(5), 2732; https://doi.org/10.3390/s23052732 - 2 Mar 2023
Cited by 2 | Viewed by 1679
Abstract
Extracting circle information from images has always been a basic problem in computer vision. Common circle detection algorithms have some defects, such as poor noise resistance and slow computation speed. In this paper, we propose an anti-noise fast circle detection algorithm. In order [...] Read more.
Extracting circle information from images has always been a basic problem in computer vision. Common circle detection algorithms have some defects, such as poor noise resistance and slow computation speed. In this paper, we propose an anti-noise fast circle detection algorithm. In order to improve the anti-noise of the algorithm, we first perform curve thinning and connection on the image after edge extraction, then suppress noise interference by the irregularity of noise edges and extract circular arcs by directional filtering. In order to reduce the invalid fitting and speed up the running speed, we propose a circle fitting algorithm with five quadrants, and improve the efficiency of the algorithm by the idea of “divide and conquer”. We compare the algorithm with RCD, CACD, WANG and AS on two open datasets. The results show that we have the best performance under noise while keeping the speed of the algorithm. Full article
(This article belongs to the Section Fault Diagnosis & Sensors)
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Figure 1

Figure 1
<p>Location of N(1–8) around P.</p>
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<p>The results of our algorithm at different noise levels.</p>
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<p>Intermediate results of the algorithm.</p>
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<p>Results of our algorithm under different levels of Gaussian noise.</p>
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<p>The F-measure results of five algorithms under different levels of Gaussian noise.</p>
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<p>Variation of F-measure on dataset GH.</p>
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<p>Variation of F-measure on dataset MY.</p>
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