Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Treatment Resistant Cancers02:56

Treatment Resistant Cancers

3.8K
Cancer is the second leading cause of death in the United States. A cancer cell is genetically unstable and hence can mutate faster. They can also modify their microenvironment and escape immune surveillance. The difficulties in treating cancer are further compounded by the emergence of rapid resistance to anticancer drugs. The most common ways to attain resistance in cancer cells include alteration in drug transport and metabolism, modification of drug target, elevated DNA damage response, or...
3.8K
Reliability and Validity01:29

Reliability and Validity

13.9K
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
13.9K
Imaging Studies I: Kidney, Ureter, and Bladder Studies01:28

Imaging Studies I: Kidney, Ureter, and Bladder Studies

350
Kidney, Ureter, and Bladder (KUB) StudiesKidney, Ureter, and Bladder (KUB) studies are standard diagnostic imaging procedures used to assess the anatomy of the urinary system. They are commonly utilized for patients experiencing abdominal pain or urinary symptoms. By using a simple X-ray of the abdomen, KUB studies can reveal structural and pathological abnormalities within the kidneys, ureters, and bladder. These studies are particularly valuable in diagnosing kidney stones, urinary...
350
Kidney Structure01:45

Kidney Structure

75.3K
The kidneys are two large bean-shaped organs located in the upper abdomen. They filter the blood several times a day to remove toxins and rebalance water and electrolytes of the circulatory system via the renal veins. The kidneys receive blood directly from the heart via the renal arteries. These arteries enter the kidney at the hilum, the concave surface of the bean, where they branch and divide into smaller vessels and capillaries.
75.3K
The Thyroid Gland01:23

The Thyroid Gland

7.7K
The thyroid gland is a small, butterfly-shaped gland located in the neck and covers the anterior surface of the trachea. The gland has two lateral lobes connected by a thin tissue mass called the isthmus. Internally, each lobe comprises many small spherical structures known as thyroid follicles, surrounded by a network of blood vessels.
The follicles have a central cavity lined by simple cuboidal to squamous epithelial cells called follicular cells. These cells produce the glycoprotein...
7.7K
Trial and Error and Algorithm01:12

Trial and Error and Algorithm

420
A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
420

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Pulmonary coexistence of immunoglobulin light chain amyloidosis and light chain deposition disease: A case report.

Respiratory medicine case reports·2026
Same author

Nintedanib inhibits the VEGFR-ERK signaling pathway in human KRAS-mutated cancer cells.

Cell death & disease·2026
Same author

User Engagement and Demographics of a Medical Society-Led Website for Scoliosis: An Analysis using Google Analytics.

Spine surgery and related research·2026
Same author

A Case Report of an Intradural Extramedullary Tumor, Which Was Treated With Steroid and Clinically Suspected as Neural Sarcoidosis.

Case reports in orthopedics·2026
Same author

Reply to Letter to the Editor Regarding the Article: "Prediction of hip Development Using Femoral Head Cartilage and Acetabular Cartilage Diameters on MRI Images".

Journal of pediatric orthopedics·2026
Same author

Editorial: Advances in limb-salvage surgery and reconstruction for pediatric bone and soft tissue tumors.

Frontiers in pediatrics·2026

Related Experiment Video

Updated: Feb 2, 2026

Computer-Aided Three-Dimensional Visualization in the Treatment of Locally Advanced Thyroid Cancer
03:55

Computer-Aided Three-Dimensional Visualization in the Treatment of Locally Advanced Thyroid Cancer

Published on: June 9, 2023

1.0K

Kidney and Thyroid Cancer-Specific Treatment Algorithm for Spinal Metastases: A Validation Study.

Satoshi Kato1, Hideki Murakami1, Satoru Demura1

  • 1Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Japan.

World Neurosurgery
|November 19, 2018
PubMed
Summary

A new algorithm for spinal metastases (SMs) from kidney and thyroid cancers accurately identifies patients who benefit from excisional surgery, improving survival outcomes. This method shows high predictive value for surgical intervention in SMs.

Keywords:
Kidney cancerSpinal metastasesThyroid cancerTreatment algorithmValidation study

More Related Videos

Spontaneous Murine Model of Anaplastic Thyroid Cancer
05:39

Spontaneous Murine Model of Anaplastic Thyroid Cancer

Published on: February 3, 2023

2.3K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.5K

Related Experiment Videos

Last Updated: Feb 2, 2026

Computer-Aided Three-Dimensional Visualization in the Treatment of Locally Advanced Thyroid Cancer
03:55

Computer-Aided Three-Dimensional Visualization in the Treatment of Locally Advanced Thyroid Cancer

Published on: June 9, 2023

1.0K
Spontaneous Murine Model of Anaplastic Thyroid Cancer
05:39

Spontaneous Murine Model of Anaplastic Thyroid Cancer

Published on: February 3, 2023

2.3K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.5K

Area of Science:

  • Oncology
  • Neurosurgery
  • Cancer Research

Background:

  • Spinal metastases (SMs) from kidney and thyroid cancers share characteristics suggesting surgery can improve survival.
  • A simple treatment algorithm is proposed for managing these specific SMs.
  • The study evaluates the efficacy of this proposed algorithm.

Purpose of the Study:

  • To assess the effectiveness of a novel treatment algorithm for spinal metastases (SMs) originating from kidney and thyroid cancers.
  • To determine if the algorithm accurately predicts patient survival and suitability for excisional surgery.
  • To compare the algorithm's performance against established scoring systems (Tokuhashi and Tomita).

Main Methods:

  • Retrospective analysis of 69 patients with kidney (48) or thyroid (21) cancer and SMs treated between 1995 and 2014.
  • Patients were classified using the proposed algorithm and Tokuhashi/Tomita scores into indicated and non-indicated groups for surgery.
  • Positive and negative predictive values (NPV) were calculated based on predicted vs. actual survival (≥2 years).

Main Results:

  • For kidney cancer patients, 2- and 5-year survival rates were 85.4% and 60.4%.
  • For thyroid cancer patients, 2- and 5-year survival rates were 100% and 83.8%.
  • The proposed algorithm demonstrated a high positive predictive value (95.5%) and NPV (100%), outperforming Tokuhashi (NPV 15.8%) and Tomita (NPV 13.3%) scores.

Conclusions:

  • The developed treatment algorithm is effective for managing spinal metastases from kidney and thyroid cancers.
  • It aids in determining appropriate treatment strategies, including the decision for excisional surgery.
  • The algorithm provides superior predictive accuracy for survival compared to existing scoring systems.