Short-term spontaneous regression of myxofibrosarcoma in the scapular region

被引：8

作者：

Sakamoto, Akio ^{[1
]}

Shiba, Eisuke ^{[2
]}

Hisaoka, Masanori ^{[2
]}

机构：

[1] Kyushu Univ, Grad Sch Med Sci, Dept Orthopaed Surg, Fukuoka 812, Japan

[2] Univ Occupat & Environm Hlth, Sch Med, Dept Pathol & Oncol, Kitakyushu, Fukuoka 807, Japan

来源：

SKELETAL RADIOLOGY | 2014年 / 43卷 / 10期

关键词：

Myxofibrosarcoma; Scapular region; Soft tissue; Spontaneous regression; COLORECTAL-CANCER; CARCINOMA; TUMOR;

D O I：

10.1007/s00256-014-1914-6

中图分类号：

R826.8 [整形外科学]; R782.2 [口腔颌面部整形外科学]; R726.2 [小儿整形外科学]; R62 [整形外科学（修复外科学）];

学科分类号：

摘要：

Spontaneous regression of cancer is a well-known but rare phenomenon, and it is extremely rare for sarcomas. The current case is an 85-year-old woman with a multinodular lesion diagnosed as myxofibrosarcoma in the scapular region. The maximum size of the tumor at the initial visit was 10 cm, and it decreased to less than 2 cm without any treatment. After a period of regression of about 6 months, the tumor began to grow, and resection was performed. No prior case of spontaneous regression has been reported in myxofibrosarcoma or other primary sarcomas. Interestingly, the regression took place after the occurrence of pneumonia, suggesting a possible relationship.

引用

页码：1487 / 1490

页数：4

共 50 条

[21] Short-Term Load Forecasting of Microgrid via Hybrid Support Vector Regression and Long Short-Term Memory Algorithms
Moradzadeh, Arash
Zakeri, Sahar
Shoaran, Maryam
Mohammadi-Ivatloo, Behnam
Mohammadi, Fazel
SUSTAINABILITY, 2020, 12 (17)
[22] Short-term load forecasting using multiple regression analysis
Nolin Rural Electric Cooperative, Corp
Pap Rural Electr Power Conf, (B3-1 - B3-8):
[23] Short-term Load Forecasting with Deep Boosting Transfer Regression
Wu, Di
Xu, Yi Tian
Jenkin, Michael
Wang, Ju
Li, Hang
Liu, Xue
Dudek, Gregory
IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2022), 2022, : 5530 - 5536
[24] Composite Quantile Regression Long Short-Term Memory Network
Xie, Zongxia
Wen, Hao
ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2019: TEXT AND TIME SERIES, PT IV, 2019, 11730 : 513 - 524
[25] Application of nuSupport Vector Regression in Short-Term Load Forecasting
Omidi, Adnan
Barakati, S. Masoud
Tavakoli, Saeed
2015 20TH CONFERENCE ON ELECTRICAL POWER DISTRIBUTION NETWORKS CONFERENCE (EPDC), 2015, : 32 - 36
[26] Multivariate Quantile Regression for Short-Term Probabilistic Load Forecasting
Bracale, Antonio
Caramia, Pierluigi
De Falco, Pasquale
Hong, Tao
IEEE TRANSACTIONS ON POWER SYSTEMS, 2020, 35 (01) : 628 - 638
[27] Short-term Energy Forecasting using the Regression Tsetlin Machine
Ranasinghe, Sasanka N.
Pussewalage, Harsha S. Gardiyawasam
16TH IEEE/ACM INTERNATIONAL CONFERENCE ON UTILITY AND CLOUD COMPUTING, UCC 2023, 2023,
[28] A Block Regression Model for Short-Term Mobile Traffic Forecasting
Pan, Huimin
Liu, Jingchu
Zhou, Sheng
Niu, Zhisheng
2015 IEEE/CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA (ICCC), 2015,
[29] Short-term load forecasting: a power-regression approach
De Nicolao, G.
Pozzi, M.
Soda, E.
Stori, M.
2014 INTERNATIONAL CONFERENCE ON PROBABILISTIC METHODS APPLIED TO POWER SYSTEMS (PMAPS), 2014,
[30] Local regression-based short-term load forecasting
Zivanovic, R
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2001, 31 (1-3) : 115 - 127

← 1 2 3 4 5 →