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1.
Sci Rep ; 10(1): 19699, 2020 11 12.
Article in English | MEDLINE | ID: mdl-33184423

ABSTRACT

Glioblastoma is the most frequent aggressive primary brain tumor amongst human adults. Its standard treatment involves chemotherapy, for which the drug temozolomide is a common choice. These are heterogeneous and variable tumors which might benefit from personalized, data-based therapy strategies, and for which there is room for improvement in therapy response follow-up, investigated with preclinical models. This study addresses a preclinical question that involves distinguishing between treated and control (untreated) mice bearing glioblastoma, using machine learning techniques, from magnetic resonance-based data in two modalities: MRI and MRSI. It aims to go beyond the comparison of methods for such discrimination to provide an analytical pipeline that could be used in subsequent human studies. This analytical pipeline is meant to be a usable and interpretable tool for the radiology expert in the hope that such interpretation helps revealing new insights about the problem itself. For that, we propose coupling source extraction-based and radiomics-based data transformations with feature selection. Special attention is paid to the generation of radiologist-friendly visual nosological representations of the analyzed tumors.


Subject(s)
Brain Neoplasms/drug therapy , Glioblastoma/drug therapy , Pattern Recognition, Automated/methods , Temozolomide/administration & dosage , Animals , Brain Neoplasms/diagnostic imaging , Cell Line, Tumor , Glioblastoma/diagnostic imaging , Humans , Machine Learning , Magnetic Resonance Imaging , Magnetic Resonance Spectroscopy , Male , Mice , Retrospective Studies , Temozolomide/therapeutic use , Treatment Outcome , Xenograft Model Antitumor Assays
2.
J Appl Clin Med Phys ; 21(8): 56-64, 2020 Aug.
Article in English | MEDLINE | ID: mdl-32472618

ABSTRACT

PURPOSE: To compare tumor motion amplitudes measured with 2D fluoroscopic images (FI) and with an inhale/exhale CT (IECT) technique MATERIALS AND METHODS: Tumor motion of 52 patients (39 lung patients and 13 liver patients) was obtained with both FI and IECT. For FI, tumor detection and tracking was performed by means of a software developed by the authors. Motion amplitude and, thus, internal target volume (ITV), were defined to cover the positions where the tumor spends 95% of the time. The algorithm was validated against two different respiratory motion phantoms. Motion amplitude in IECT was defined as the difference in the position of the centroid of the gross tumor volume in the image sets of both treatments. RESULTS: Important differences exist when defining ITVs with FI and IECT. Overall, differences larger than 5 mm were obtained for 49%, 31%, and 9.6% of the patients in Superior-Inferior (SI), Anterior-Posterior (AP), and Lateral (LAT) directions, respectively. For tumor location, larger differences were found for tumors in the liver (73.6% SI, 27.3% AP, and 6.7% in LAT had differences larger than 5 mm), while tumors in the upper lobe benefitted less using FI (differences larger than 5 mm were only present in 27.6% (SI), 36.7% (AP), and 0% (LAT) of the patients). CONCLUSIONS: Use of FI with the linac built-in CBCT system is feasible for ITV definition. Large differences between motion amplitudes detected with FI and IECT methods were found. The method presented in this work based on FI could represent an improvement in ITV definition compared to the method based on IECT due to FI permits tumor motion acquisition in a more realistic situation than IECT.


Subject(s)
Lung Neoplasms , Radiosurgery , Four-Dimensional Computed Tomography , Humans , Liver/diagnostic imaging , Lung , Lung Neoplasms/diagnostic imaging , Lung Neoplasms/radiotherapy , Lung Neoplasms/surgery , Radiotherapy Planning, Computer-Assisted , Respiration , Tomography, X-Ray Computed , X-Rays
3.
Rev. méd. IMSS ; 31(4): 301-4, jul.-ago. 1993. ilus, tab
Article in Spanish | LILACS | ID: lil-176964

ABSTRACT

Se realizó un estudio prospectivo, longitudinal, randomizado en 60 pacientes, donde se compararon los hallazgos obtenidos a la exploración nasal con tres métodos diagnósticos distintos: visión endoscópica (rígida y flexible), visión microscópica y visión macroscópica (rinoscopia anterior y posterior). Los pacientes fueron escogidos al azar y podrían o no tener patología nasal. Para su cuantificación se dio un punto por cada hallazgo exploratorio. Se tomaron fotografias en cada método. El promedio de hallazgos de la visión macroscópica fue de 2.98 por paciente, la microscopia 4.28 y la endoscopia 5.04 (p=<0.01). Se concluye que mientras la endoscopia realiza el diagnóstico con el 100 por ciento de los casos, la microscopia lo hace en un 84.9 por ciento y al rinoscopia macroscópica sólo en un 59.5 por ciento


Subject(s)
Humans , Male , Female , Adolescent , Adult , Middle Aged , Otolaryngology , Nose/pathology , Nose Diseases/diagnosis , Endoscopy , Microscopy , Diagnosis
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