Bone scintigraphy and scintigraphy with 111In-Octreotide in the diagnosis of bone metastasis in bronchial carcinoid tumor

2010 ◽  
Vol 29 (1) ◽  
pp. 38-39
Author(s):  
F. Pérez Ángel ◽  
J. Sánchez Catalicio ◽  
L. Mohamed Salem ◽  
M.I. Castellón Sánchez ◽  
J.L. Navarro Fernández ◽  
...  
2012 ◽  
Vol 30 (15_suppl) ◽  
pp. e18042-e18042
Author(s):  
Koji Takeda ◽  
Shinya Tokunaga ◽  
Haruko Daga ◽  
Hideaki Okada ◽  
Koichi Taira ◽  
...  

e18042 Background: The bone resorption biomarker sNTx has been previously shown to add value as an aid in the diagnosis of bone metastasis in patients with lung cancer. The objective of this prospective study was to determine if periodic sNTx measurements could lead to early diagnosis of bone metastasis in patients with lung cancer. Methods: Patients with newly diagnosed organ-confined lung cancer were enrolled. sNTx values were determined once each month using the OSTEOMARKTM serum NTx assay (Alere Medical). The presence or absence of bone metastasis was determined by monthly physical examination and by bone scintigraphy every 3 months for 12 months. All patients were required to provide written informed consent. Results: Forty patients were enrolled between June and December 2010. One patient withdrew early and was excluded from analysis. The mean +/- 1 SD baseline level of sNTx was 17.5 +/- 4.4 nM BCE/L. Five patients developed bone metastasis (as characterized by bone scintigraphy) during the study period. The level of sNTx in subjects with bone metastasis was slightly increased (21.6 +/- 3.2 nM BCE/L), however, in these patients, there was no statistically significant difference between sNTx values at baseline (18.2 +/- 4.2 nM BCE/L) and when metastasis was diagnosed. (p=0.176). When a cut-off value of sNTx was set to 22.0 nM BCE/L, the sensitivity and the specificity of detection of bone metastasis were 80.0% and 41.2%, respectively. Using this cut-off, the elevation of sNTx could predict bone metastasis at least one month before diagnosis by bone scintigraphy in all 5 patients, however, the specificity was relatively low for clinical implementation. Additionally, the sensitivity and the specificity of early detection of systematic spread of disease (including bone metastasis) were 70.6% and 45.5%, respectively. Conclusions: Periodic determination of sNTx in patients with organ confined lung cancer did not provide sufficient specificity for it to be used for the early diagnosis of bone metastasis or disease progression.


2021 ◽  
Author(s):  
Shigehisa Kajikawa ◽  
Kojiro Suzuki ◽  
Nozomu Matsunaga ◽  
Natsuki Taniguchi ◽  
Toyonori Tsuzuki ◽  
...  

2021 ◽  
Vol 80 ◽  
pp. 105703
Author(s):  
Esubalew Taddese Mindaye ◽  
Mulugeta Kassahun ◽  
Gulilat Tigiye

Diagnostics ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 518
Author(s):  
Da-Chuan Cheng ◽  
Te-Chun Hsieh ◽  
Kuo-Yang Yen ◽  
Chia-Hung Kao

This study aimed to explore efficient ways to diagnose bone metastasis early using bone scintigraphy images through negative mining, pre-training, the convolutional neural network, and deep learning. We studied 205 prostate cancer patients and 371 breast cancer patients and used bone scintigraphy data from breast cancer patients to pre-train a YOLO v4 with a false-positive reduction strategy. With the pre-trained model, transferred learning was applied to prostate cancer patients to build a model to detect and identify metastasis locations using bone scintigraphy. Ten-fold cross validation was conducted. The mean sensitivity and precision rates for bone metastasis location detection and classification (lesion-based) in the chests of prostate patients were 0.72 ± 0.04 and 0.90 ± 0.04, respectively. The mean sensitivity and specificity rates for bone metastasis classification (patient-based) in the chests of prostate patients were 0.94 ± 0.09 and 0.92 ± 0.09, respectively. The developed system has the potential to provide pre-diagnostic reports to aid in physicians’ final decisions.


2005 ◽  
Vol 46 (3) ◽  
pp. 388 ◽  
Author(s):  
Jae Ho Chung ◽  
Moo Suk Park ◽  
Young Sam Kim ◽  
Joon Chang ◽  
Joo Hang Kim ◽  
...  

2005 ◽  
Vol 47 (1) ◽  
pp. 99-101 ◽  
Author(s):  
Nermin Guler ◽  
Emel Kirerleri ◽  
Gokce Baslo ◽  
Ulker Ones ◽  
Zeynep Tamay ◽  
...  

2010 ◽  
Vol 67 (6) ◽  
pp. 453-458 ◽  
Author(s):  
Silvija Lucic ◽  
Katarina Nikoletic ◽  
Andrea Peter ◽  
Milos Lucic ◽  
Dusan Jovanovic

Background/Aim. Bone scintigraphy is well-known method for the detection of neoplastic lesions with a high sensitivity and, at the same time, a lower specificity. On the other hand magnetic resonance imaging (MRI) is previously established noninvasive imaging method regarding its diagnostic specificity. The aim of this study was to determine the possibilities and to correlate two different diagnostic methods - bone scintigraphy and MRI in the detection of bone metastasis in the spine and pelvic bones. Methods. A total of 123 patients who underwent both bone scintigraphy and spine and pelvic MRI on 1.5 T MR imager were enrolled in this study. Scans were subsequently analyzed in total and divided in regions of interest (cervical, upper, middle and lower thoracic, upper and lower lumbar and pelvic region, which includes sacral spinal segment); afterwards the total number of 585 matching regions were compared and statistically analyzed. Results. The statistical analysis demonstrated significant correlation between the findings of both methods in total. Divided by regions of interest, significant degrees of correlation were demonstrated in all of them, except in the cervical spine region where the r-value was in the range of low correlation. Conclusion. Having a high mutual correlation, bone scintigraphy and MRI are to be considered as the complementary diagnostic methods in the detection of bone metastases. Still, increased diagnostic potential of MRI may highlights negative bone scintigraphy findings in the patients with solitary metastatic lesions or diffuse vertebral infiltration. Advances in the bone scintigraphy (single photon emission tomography - SPECT, SPECTcomputed tomography - SPECT-CT) and MRI (whole body MRI, diffusion MRI), make it possible the diagnostic potential of both methods will result in a further improvement in bone metastasis detection.


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