Benign and Malignant Hand Tumors

Romanowski, Leszek; Czarnecki, P.; Bręborowicz, Maciej

doi:10.1007/978-1-84882-513-0_39

Cited by 2 publications

(2 citation statements)

References 59 publications

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“…Even simple changes can be problematic in diagnosis and treatment, including a high risk of recurrence and rare but possible malignant transformation. Malignant tumours are uncommon, but if they occur, the consequences can be severe despite a seemingly small mass [33,34].…”

Section: Tumoursmentioning

confidence: 99%

Hand and wrist – what the hand surgeon wants to know from the radiologist

Czarnecki,

Siemionow,

Baek

et al. 2024

Pol J Radiol

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Hand surgeons, as unique specialists, appreciate the complexity of the anatomy of the hand. A hand is not merely a group of anatomic structures but a separate organ that works by feeling, sending information to the brain, and enabling a variety of movements, from precise skills to firm tasks. <br /> Acute and chronic problems interfere with complicated hand function and potentially influence work or daily life activities for a long time. Thus, the surgeon’s role is to propose appropriate treatment with predictable results.<br /> This paper attempts to specify the preoperative considerations and their influence on the choice of surgical procedure and the assessment of results potentially influencing further treatment. We have divided the manuscript by anatomical structures, which is a natural surgical assessment and planning approach. The most common problems were highlighted to introduce the method of decision-making and surgical solutions.

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Section: Tumoursmentioning

confidence: 99%

Hand and wrist – what the hand surgeon wants to know from the radiologist

Czarnecki,

Siemionow,

Baek

et al. 2024

Pol J Radiol

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“…Several major types of hand tumor are benign, and malignant tumors are also appeared in specific area with its specific character. 69.2% -95% of tumors of the hand do not involve cutaneous malignancy are benign [ 1 , 2 ]. Some benign growths may not need excision.…”

Section: Introductionmentioning

confidence: 99%

Deep HT: A deep neural network for diagnose on MR images of tumors of the hand

Liu

Zhou

et al. 2020

PLoS ONE

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Background There are many types of hand tumors, and it is often difficult for imaging diagnosticians to make a correct diagnosis, which can easily lead to misdiagnosis and delay in treatment. Thus in this paper, we propose a deep neural network for diagnose on MR Images of tumors of the hand in order to better define preoperative diagnosis and standardize surgical treatment. Methods We collected MRI figures of 221 patients with hand tumors from one medical center from 2016 to 2019, invited medical experts to annotate the images to form the annotation data set. Then the original image is preprocessed to get the image data set. The data set is randomly divided into ten parts, nine for training and one for test. Next, the data set is input into the neural network system for testing. Finally, average the results of ten experiments as an estimate of the accuracy of the algorithm. Results This research uses 221 images as dataset and the system shows an average confidence level of 71.6% in segmentation of hand tumors. The segmented tumor regions are validated through ground truth analysis and manual analysis by a radiologist. Conclusions With the recent advances in convolutional neural networks, vast improvements have been made for image segmentation, mainly based on the skip-connection-linked encoder decoder deep architectures. Therefore, in this paper, we propose an automatic segmentation method based on DeepLab v3+ and achieved a good diagnostic accuracy rate.

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Benign and Malignant Hand Tumors

Cited by 2 publications

References 59 publications

Hand and wrist – what the hand surgeon wants to know from the radiologist

Hand and wrist – what the hand surgeon wants to know from the radiologist

Deep HT: A deep neural network for diagnose on MR images of tumors of the hand

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