scholarly journals Clinical Images: β 2 ‐Microglobulin amyloidosis

2021 ◽  
Author(s):  
Gabriel Ștefan ◽  
Simona Stancu
Keyword(s):  
Author(s):  
Hiroo Kimura ◽  
Akira Toga ◽  
Taku Suzuki ◽  
Takuji Iwamoto

Abstract Background Fracture-dislocations of all four ulnar (second to fifth) carpometacarpal (CMC) joints are rare hand injuries and frequently overlooked or missed. These injuries can be treated conservatively when closed reduction is successfully achieved, though they are sometimes irreducible and unstable. Case Description We report the case of a 17-year-old boy involved in a vehicular accident. Clinical images showed dorsal dislocation of all four ulnar CMC joints of the left hand associated with a fracture of the base of the fourth metacarpal. Although closed reduction was attempted immediately, the affected joints remained unstable and easily redislocated. Therefore, we performed open reduction and percutaneous fixation of all ulnar CMCs. He showed excellent recovery after 1 year postoperatively, reported no pain, and demonstrated complete grip strength and range of motion of the affected wrist and fingers. Literature Review Accurate clinical diagnosis of this lesion is difficult because of polytrauma, severe swelling masking the dislocated CMC joint deformity, and overlapping of adjacent metacarpals and carpal bones on radiographic examination. As for the treatment strategy, it has yet to obtain a consensus. Some reports value open reduction to guarantee anatomical reduction, and it is definitely needed in the patients with interposed tissues to be removed or with subacute and chronic injuries. Clinical Relevance Delayed diagnosis or treatment could lead to poor outcomes. Therefore, surgeons must be aware that precise preoperative assessment is critical, and anatomical open reduction of interposed bony fragments, like our case, may be required even in an acute phase.


2020 ◽  
Author(s):  
Xiaoyu He ◽  
Juan Su ◽  
Guangyu Wang ◽  
Kang Zhang ◽  
Navarini Alexander ◽  
...  

BACKGROUND Pemphigus vulgaris (PV) and bullous pemphigoid (BP) are two rare but severe inflammatory dermatoses. Due to the regional lack of trained dermatologists, many patients with these two diseases are misdiagnosed and therefore incorrectly treated. An artificial intelligence diagnosis framework would be highly adaptable for the early diagnosis of these two diseases. OBJECTIVE Design and evaluate an artificial intelligence diagnosis framework for PV and BP. METHODS The work was conducted on a dermatological dataset consisting of 17,735 clinical images and 346 patient metadata of bullous dermatoses. A two-stage diagnosis framework was designed, where the first stage trained a clinical image classification model to classify bullous dermatoses from five common skin diseases and normal skin and the second stage developed a multimodal classification model of clinical images and patient metadata to further differentiate PV and BP. RESULTS The clinical image classification model and the multimodal classification model achieved an area under the receiver operating characteristic curve (AUROC) of 0.998 and 0.942, respectively. On the independent test set of 20 PV and 20 BP cases, our multimodal classification model (sensitivity: 0.85, specificity: 0.95) performed better than the average of 27 junior dermatologists (sensitivity: 0.68, specificity: 0.78) and comparable to the average of 69 senior dermatologists (sensitivity: 0.80, specificity: 0.87). CONCLUSIONS Our diagnosis framework based on clinical images and patient metadata achieved expert-level identification of PV and BP, and is potential to be an effective tool for dermatologists in remote areas in the early diagnosis of these two diseases.


2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Yoko Satoh ◽  
Utaroh Motosugi ◽  
Masamichi Imai ◽  
Yoshie Omiya ◽  
Hiroshi Onishi

Abstract Background Using phantoms and clinical studies in prone hanging breast imaging, we assessed the image quality of a commercially available dedicated breast PET (dbPET) at the detector’s edge, where mammary glands near the chest wall are located. These are compared to supine PET/CT breast images of the same clinical subjects. Methods A breast phantom with four spheres (16-, 10-, 7.5-, and 5-mm diameter) was filled with 18F-fluorodeoxyglucose solution (sphere-to-background activity concentration ratio, 8:1). The spheres occupied five different positions from the top edge to the centre of the detector and were scanned for 5 min in each position. Reconstructed images were visually evaluated, and the contrast-to-noise ratio (CNR), contrast recovery coefficient (CRC) for all spheres, and coefficient of variation of the background (CVB) were calculated. Subsequently, clinical images obtained with standard supine PET/CT and prone dbPET were retrospectively analysed. Tumour-to-background ratios (TBRs) between breast cancer near the chest wall (close to the detector’s edge; peripheral group) and at other locations (non-peripheral group) were compared. The TBR of each lesion was compared between dbPET and PET/CT. Results Closer to the detector’s edge, the CNR and CRC of all spheres decreased while the CVB increased in the phantom study. The disadvantages of this placement were visually confirmed. Regarding clinical images, TBR of dbPET was significantly higher than that of PET/CT in both the peripheral (12.38 ± 6.41 vs 6.73 ± 3.5, p = 0.0006) and non-peripheral (12.44 ± 5.94 vs 7.71 ± 7.1, p = 0.0183) groups. There was no significant difference in TBR of dbPET between the peripheral and non-peripheral groups. Conclusion The phantom study revealed poorer image quality at < 2-cm distance from the detector’s edge than at other more central parts. In clinical studies, however, the visibility of breast lesions with dbPET was the same regardless of the lesion position, and it was higher than that in PET/CT. dbPET has a great potential for detecting breast lesions near the chest wall if they are at least 2 cm from the edge of the FOV, even in young women with small breasts.


2021 ◽  
Author(s):  
Mithu Maheswaranathan ◽  
Jessica L. Houk ◽  
Danielle Elliott Range ◽  
Jennifer Rogers

2003 ◽  
Vol 9 (2) ◽  
pp. 94-104 ◽  
Author(s):  
Jixiang Chen ◽  
R. Joe Stanley ◽  
Randy H. Moss ◽  
William Van Stoecker
Keyword(s):  

2000 ◽  
Vol 11 (2) ◽  
pp. 109-111
Author(s):  
Ken Zafren
Keyword(s):  

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Nicola Smith ◽  
Helen E. Foster ◽  
Sharmila Jandial

Abstract Background The PMM Portfolio is comprised of the Paediatric Musculoskeletal Matters (PMM) website, the paediatric Gait, Arms, Legs and Spine (pGALS) app and e-learning modules (ELM). The target audiences are non-specialists in paediatric musculoskeletal medicine. Our study aimed to evaluate impact on learning and clinical practice. Methods Mixed methods (analytics, online survey, interviews) were used with PMM and ELM registered users and purposive sampling of users using international contacts within paediatrics and paediatric rheumatology. Data was analysed using descriptive statistics and qualitative techniques. A Paired T-Test compared self-rated confidence before and after use of the PMM Portfolio. Results There has been wide reach for all the e-resources; PMM website (662,827 hits, 262,476 users, 214 countries, data 31st July 2020); pGALS app (12,670 downloads, 70 countries, data 31st July 2020); ELM (150 users, 30 countries, data 30th May 2019). There were 164 responses (students, trainees and health care professionals) to the survey from 25 countries. Most responders deemed the PMM Portfolio useful / very useful for their learning with significantly increased self-rated confidence in their clinical examination and reasoning skills following access to the PMM website, p = < 0.01, pGALS app, p = < 0.01 and ELM, p = < 0.01. The most popular PMM website pages related to clinical assessment techniques (especially pGALS). There was high uptake of the pGALS app and pGALS ELM especially from trainees and allied health professionals. Many clinicians reported the PMM Portfolio to be useful when used to teach others. User feedback reported that easy navigation, open access, clinical images and cases were the most valued features. User feedback highlighted need to increase awareness of the e-resources through training programmes. Conclusions The PMM Portfolio was developed to aid learning for clinicians who are not specialists in paediatric MSK medicine. Our evaluation demonstrates wide international reach and positive feedback on learning. The PMM Portfolio is a highly useful e-resource for paediatric rheumatologists in their teaching of others to raise awareness, facilitate early diagnosis and referral of children with suspected disease. The wide user engagement informed future PMM Portfolio development and the mixed method of evaluation is transferable to other e-resources.


2021 ◽  
Vol 2 (3) ◽  
pp. 250
Author(s):  
Neha Sharma ◽  
Samrat Ray ◽  
Samiran Nundy

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