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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    TypeError
Message:      Couldn't cast array of type
struct<a: list<item: int64>, b: list<item: int64>, c: list<item: int64>, d: list<item: int64>, e: list<item: int64>, f: list<item: int64>, g: list<item: int64>, h: list<item: int64>, i: list<item: int64>, j: list<item: int64>, k: list<item: int64>, l: list<item: int64>>
to
{'a': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'b': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'c': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'd': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'e': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'f': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'g': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'h': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'i': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'j': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'k': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'l': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'm': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'n': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'o': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'p': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None)}
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2261, in cast_table_to_schema
                  arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2261, in <listcomp>
                  arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1802, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1802, in <listcomp>
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2122, in cast_array_to_feature
                  raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
              TypeError: Couldn't cast array of type
              struct<a: list<item: int64>, b: list<item: int64>, c: list<item: int64>, d: list<item: int64>, e: list<item: int64>, f: list<item: int64>, g: list<item: int64>, h: list<item: int64>, i: list<item: int64>, j: list<item: int64>, k: list<item: int64>, l: list<item: int64>>
              to
              {'a': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'b': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'c': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'd': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'e': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'f': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'g': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'h': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'i': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'j': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'k': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'l': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'm': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'n': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'o': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'p': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None)}
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1529, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1154, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2038, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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pdf_hash
string
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fig_uri
string
text
string
width
int64
height
int64
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81c7347b2d837f84ec3751aeb747fe3a38612c97
Figure1
4-Figure1-1.png
Fig. 1. An illustrative case. A-D: Initial MRI findings. E-H: Follow-up imaging after 7 months without surgical intervention.
1,340
1,352
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6ff2ceb4d5c5da0d48d50ba3dcb011dc69dc7818
Figure1
2-Figure1-1.png
Figure 1 Radiologic imaging tests. (A) Enhanced CT showed diffuse enlargement of the thyroid gland and a tumor (arrows) in the right lobe of the thyroid. (B) Thyroidal uptake of radioiodine showed diffuse enlargement of both lobes of the thyroid with homogeneously increased uptake (52.74%).
614
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968742d6d4211d039e742f76cf39b69f06009f4b
Figure3
6-Figure3-1.png
Figure 3. Effects of LIPUS treatment on brain edema in TBI mice. (a) Representative T2-weighted MRI images at 1 and 4 days post-TBI. The damaged area is defined as a hyperintense region over the right parietal cortex, indicating edema formation. Dotted line shows location of regions of interest. (b) Quantification revealed significantly smaller edema volumes in LIPUS-treated mice compared with non-treated mice at 1 and 4 days. # Denotes significantly different from non-treated TBI group ( ### p < 0.001, n = 6).
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63c351a976c2c73ca05f7e94e5a0a682dfe17e46
Figure1
3-Figure1-1.png
Figure 1. The distribution of DNA, centrosomes, and microtubules in aphidicolin-injected embryos at various times after injection. Embryos were injected with aphidicolin at about the time of pole cell formation (nuclear cycle 9, see text). They were allowed to develop for various lengths of time before fixation and staining with Rb188 (anti-centrosome) and YIl/2 (anti-tubulin) followed by rhodamine-coupled goat anti-rabbit and fluorescein-coupled mouse anti-rat antibodies. The embryos were finally incubated with Hoeehst 33258 (see Materials and Methods). The figure shows fields from typical embryos fixed 10 (A), 45 (B), and 90 (C) min after injection of the drug. Bar, 20 ~m.
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Figure2
7-Figure2-1.png
Figure 2 Regional distribution of specific [ 3 H]Ro48 8587 binding (a, b) and expression of GluR1 (c, d) and GluR2 (e, f) in coronal rat brain sections corresponding to Figures 14 and 31 of the rat brain atlas (Paxinos and Watson, 1997). Abbreviations: CA1-3: CA1-3 subfields of the hippocampus; CPu: caudate putamen; DG: dentate gyrus of the hippocampus; LaDL: lateral amygdaloid nucleus, dorsolateral part; MeAm: medial amygdaloid nucleus; NAc; nucleus accumbens; Rt: reticular nucleus of the thalamus.
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00c8ad067fbe797981136fa5cf1634d42e25d578
Figure4
4-Figure4-1.png
Figure 4. Images of Case 4. A: MRI shows a hypervascular mass, compatible with angiosarcoma in the right lobe, B: Image shows resected specimen and the site where abscess drainage was performed in his previous surgery, C: Positive immunohistochemical staining for CgA (x200).
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400e166023e6a8fbf78a3757b6c4e5233d637b41
Figure2
2-Figure2-1.png
Fig. 2 – T1-weighted axial (A), T2-weighted coronal (B), T2-weighted axial (C), and axial fluid-attenuated inversion recovery sequence (D) of magnetic resonance images show ventriculomegaly, cystic encephalomalacia, and extensive subcortical and periventricular white matter loss and hyperintensity in white matter with atrophy.
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1aed386aecbd7c98e2a31c280d5f4194ab45768a
Figure7
9-Figure7-1.png
Figure 7. Localization of ‘H-DPR * ., ,. , I’ 6 .J (top), 3H-NBI (middle), and ‘H-CHA (bottom) binding sites in adjacent coronal sections in the plane of the hippocampus of a pointer dog brain. The distribution of all 3 binding sites is very similar to their distribution in guinea pig brain. The only remarkable difference is their practically identical localization in layers of Ammon’s horn (H), and dentate gyrus (DC). Other structures shown are parietal cortex (CC), superior colliculus (superficial gray, SG), central gray (CG), medial geniculate body (GB), and substantia nigra (,!W). Sections labeled with 3H-NBI and ‘HCHA were exposed for 8 weeks together with the corresponding sections in Figure 8 because of the relative low binding densities and the low specific activity of the radiolabels as contrasted to the 3H-DPR sections, which were again exposed for 4 weeks. Ligand concentrations were 2.5 nM for )H-DPR, 0.4 11~ for 3H-NBI, and 5 nM for ‘H-CHA.
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fa6f0db8aec6efbf332a215397b68c07c4cace09
Figure13
15-Figure13-1.png
Fig 13. Isolation of canine glioma-targeting peptides for delivery of imaging and therapeutic agents. Tumor-specific peptides have many advantages over more traditional antibody based targeting strategies. (A) Canine glioma cells bind to bead-specific peptide sequences in random screening libraries. (B, C) Isolation of bead peptides and conjugation to fluorescent markers allows targeting to canine glioma tumors grown in mouse subcutaneous models.
906
582
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b5d9875a7861facd304f0b53cf29f6aa5637ee08
Figure8
12-Figure8-1.png
Fig. 8. Label in olfactory tubercle ( O n ) after injection of C2 in animal 93. A. cresyl violet. B. darkfield photomicrograph of coronal nection in (A). Compare to Figure 2B, C.
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6b18be6e9ec907ff2544ca95046efc882a6b2484
Figure1
7-Figure1-1.png
Figure 1. Expression of Gli-1 and Gli-2. Nuclear staining of Gli-1 in (A) a trabecular pattern and (B) a pseudoacinar pattern in HCC tissues, in contrast to normal liver tissue (inset of A). Strong and diffuse nuclear staining of Gli-2 in (C) a trabecular pattern and (D) a pseudoacinar pattern in HCC tissues, in comparison to adjacent normal liver parenchyme (inset of C). HCC, hepatocellular carcinoma. Magnification A-D, x20.
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Figure1
3-Figure1-1.png
Figure 1 Representative enhanced depth imaging OCT images of a patient who showed spontaneous resolution of CSC. Subfoveal choroidal thickness was 475 mm at first visit (a), and decreased to 410 mm after complete absorption of SRF (b). The arrows indicate the subfoveal choroidal thickness, the vertical distance from hyper-reflective line of the RPE Bruch's membrane to innermost hyperreflective line of chorioscleral interface.
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46dae6f2acb6d69c578d95f361b7d667529ff54e
Figure3
4-Figure3-1.png
Fig. 3. High-resolution temporal bone computed tomography images of unilateral congenital aural atresia combined with microtia. Axial (A) and coronal (B) views showing the dilated vestibular morphology (arrows).
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Figure2
2-Figure2-1.png
Figure 2. a-c. Coronal (a) and axial (b, c) contrast-enhanced CT scan revealing a heterogeneous soft tissue lesion with hyperdense areas involving the right nasal cavity and all ipsilateral sinuses; b, c. The axial cuts showing the lamina papyracea pushed by the tissue bulk that appeared to encroach the medial extraconal space (arrows)
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Figure2
5-Figure2-1.png
Fig. 2 X-ray and computer tomographic images of a 52-year-old immunocompromised patient after heart transplantation suffering from pulmonary aspergillosis (Aspergillus terreus). a Several lesions on both lungs on X-ray with two of the lesions b showing an air crescent sign (sagittal reconstruction). The lesion located in the lower lobe developed a ground-glass halo later on, and no pleural effusion is seen
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7ed4606eeb9d69c305de537c0c56013cf4843af2
Figure1
3-Figure1-1.png
Figure 1: B-scan ultrasonography: (a) Eleven o'clock meridian acquired with a 10 MHz probe (Aviso, Quantel Médical) showing a typical retinal tear on B-scan ultrasonography. (b) Superior longitudinal scan acquired with a 20 MHz probe showing a typical retinal tear on B-scan ultrasonography. (c) Superior longitudinal scan acquired with a 20 MHz probe showing a retinal tear associated with retinal detachment. (d) Same pictures than in C with reversed grey scale for a better visualization of the retina and underlying tissue.
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1f3d0722f9b4011a0022bc6de06fb3f7de89f890
Figure7
19-Figure7-1.png
Figure 7. This figure shows the hardware setup used for a low-cost MI-based EEG system e.g. in [134], [137] where (a) shows the 3D-printed prosthetic arm which was controlled and (b) shows the EEG headset used.
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a01b549c7bf1e8808abf3e97faec20baef358c8e
Figure2
4-Figure2-1.png
Fig. 2 Radiological parameter measurement methods. a The coronal Cobb angle (CA) is measured from the superior end plate of the cephalad end vertebra and the inferior end plate of the caudal end vertebra on the coronal plane; the coronal vertical axis (CVA) is defined as the distance from a perpendicular line drawn from the superior end plate of S1 vertebral body to the C7 plumb line on the coronal plane. b The sagittal vertical axis (SVA) is defined as the distance from a perpendicular line drawn from the superior end plate of S1 vertebral body to the C7 plumb line on lateral radiographs; the thoracic kyphosis (TK) is measured from the upper end plate of T2 to the lower end plate of T12; the lumbar lordosis (LL) is measured from the upper end plate of T12 to the upper end plate of S1; the sacral slope (SS) is defined as the angle between the cranial sacral end plate and a horizontal line; the pelvic incidence (PI) is defined as the angle subtend by a line connecting the center of the femoral head to the center of the cephalad end plate of S1 and a perpendicular line from the upper end plate of S1; the pelvic tilt (PT) is measured as the angle between the vertical axis and the line through the midpoint of the sacral end plate to femoral heads axis
852
914
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acb6bb938b36e366074e9e372e29aacb626806c6
Figure1
6-Figure1-1.png
Fig 1. A typical example of the BRB maneuver attempted in the case of a 34 year-old woman with a fibroid in a forward-bent uterus. A. A sagittal survey scan showed that the bowel loops (arrow) were interposed between the uterus and the anterior abdominal wall. F and U indicate the target fibroid and the urinary bladder respectively. Dotted lines delineate the margins of each structure, and transparent orange triangles represent the planned HIFU beam path. B. After filling with 500 mL of saline, the urinary bladder (U) was distended and displaced the uterus cranially. However, the interposed bowel loops (arrow) were still in the anticipated sonication path. F indicates the target fibroid. Dotted lines delineate the margins of each structure. C. The rectum (R) was filled with 150 mL of gel. The distended rectum pushed the uterine cervix and the uterus antero-cranially, which displaced the bowel loops (arrow) out of the anticipated sonication path. F indicates the target fibroid and U indicates the urinary bladder. Dotted lines delineate the margins of each structure. D. The uterus descended after drainage of the urinary bladder (U), although the previouslyinterposed bowel loops (arrow) remained out of the anticipated sonication path. After a successful BRB maneuver, MR-HIFU ablation was performed. F indicates the target fibroid and R indicates the rectum. Dotted lines delineate the margins of each structure.
882
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3a94e95c9f3ffa9fe9a8ef7034edb06d49f37d61
Figure14
12-Figure14-1.png
Figure 14. Bile duct stricture due to intrahepatic duct stones 3 years after left lobectomy in a 50-year-old man who presented with jaundice. The patient's serum bilirubin level was elevated (12.43 mg/dL [212.6 µmol/L]). (a) Coronal T2-weighted RARE image shows a stricture (arrow) and dilatation of the proximal intrahepatic ducts. (b) Gd-EOB-DTPA-enhanced T1-weighted 3D GRE image obtained 60 minutes after injection shows no excretion of contrast material into the right main hepatic duct (arrow). (c) Image from direct cholangiography shows the high-grade stricture (arrow) of the right main hepatic duct.
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Figure1
5-Figure1-1.png
Fig. 1. (a) Computed tomography showed small intraabdominal nodules. (b) Fluorodeoxyglucose-positron emission tomography showed an abnormal uptake in the intraabdominal nodules.
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Figure4
6-Figure4-1.png
Fig. 4. Dark-field photomicrograph to show the distribution of 5-HT 1A receptor mRNA expression in the vicinity of the paraventricular nucleus of the hypothalamus (PVH) (A). Dashed line defines the nuclear border of the PVH to emphasise the absence of the transcript relative to the distinct cluster of 5-HT 1A receptor expressing cells within the zona incerta (ZI). Scatterplot (B) showing a significant positive correlation between plasma oestradiol concentrations and 5-HT 1A mRNA levels in the ZI of females. 3V, third ventricle. Adapted with permission from Goel et al. (83).
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63a59ec0717f96156bb41de1b2e37194747e71ef
Figure2
3-Figure2-1.png
Fig. 2. MRI before treatment. A. Sagittal view, posterior effusion at C2. B. Axial view, hypersignal of C2 with no signs of epiduritis.
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c4d089f1ac85da73ba577cafe887662b1adc58ee
Figure1
4-Figure1-1.png
Figure 1. Patient 1 MRI images. All images are sagittal in midline. Panels in the left column (A,C) are T2-weighted, fast-spin echo, whereas those in the right column (B,D) are T1-weighted with contrast (T1 + Gd). Panels shown in the upper row (A,B) are postoperative, following initial gross total resection. Resection of the vertebrae caudal to S1 is indicated with the blue arrow. Panels in the lower row (C,D) were taken at time of recurrence. A large, heterogeneous mass extending rostrally almost to S1 and dorsally almost to the skin is present (blue arrows). The dimensions are almost equal to those of the tumor prior to initial resection.
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b987ab7ea1728753a890a1c4c0ebe598b85a0142
Figure1
2-Figure1-1.png
Figure 1 Patient 1: (A) Sagittal and (B) transverse T2-weighted MRI with contrast of the lumbosacral spine shows a rim enhancing cystic lesion (white arrow) centrally located at the L3/4 level compressing onto the cauda equina (grey arrow). Patient 2: (C) Transverse and (D) sagittal T2-weighted MRI image shows Grade I spondylolisthesis and spinal stenosis at the L4/5 level being compressed by a huge cystic structure (white arrow) with a thick cystic wall onto the cauda equina (grey arrow).
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5dd80841cfa8fbf952df8516dd9ff3e4233b977f
Figure6
5-Figure6-1.png
Figure 6. The first transmembrane region of LBR sorts/3-galactosidase to the inner nuclear membrane. (A) COS-1 cells transfected with/3gal-TM1 (B) were fixed and permeabilized 24 h after transfection and processed for indirect immunofluorescence microscopy by staining with mouse anti-/3-galactosidase antibodies, followed by anti-mouse IgG-FITC. (B) shows the amino acid sequence encoded by the chick p58 sequence contained in the/3gal-TM1 construct. The stippled box encloses the predicted membrane spanning segment. Bar, 10 #m.
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38a7221418ac93b8c67a6f35f366040e8e563efb
Figure2
3-Figure2-1.png
Figure 2. Genome organization is dominated by folding of chromatin into large-scale chromatin domains. (A) HeLa cells imaged live by deconvolution light microscopy using Hoechst DNA staining. (B) TEM image of HeLa cell nucleus in permeabilized cell reveals large-scale chromatin domains with heavy metal staining. Bar, 500 nm. (C) Computational slice from EM tomography reconstruction reveals large-scale chromatin fiberlike domains formed by the folding of 10-nm and 30-nm chromatin, corresponding to hundreds to thousands of kilobases of DNA. Bar, 200 nm. (D) Similar large-scale chromatin organization is visualized by TEM energy-loss imaging of the phosphorus distribution within cells fixed directly without permeabilization. (Image courtesy of Michael Hendzel, University of Alberta.)
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d0dc476dc658cc8c8c55439d6d319c03420e7c48
Figure8
5-Figure8-1.png
Figure 8. a–d. Malignant phyllodes tumor. Axial T2-weighted image (a) shows an irregular and markedly hyperintense lesion (arrow) compared with fibroglandular tissue. Subtraction image (b) reveals heterogeneous enhancement (arrow). The lesion demonstrated wash-out kinetic (not shown). The lesion was categorized as BI-RADS category 4c. Histopathologic examination (c, H-E, ×20) demonstrates leaf-like pattern consisting of slits lined with double stratified epithelium (arrows) surrounded by stromal proliferation and (d, H-E, ×100) increased number of atypical mitosis (arrows) of malignant phylloid tumor.
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aaf8727c85e8051bdcc2d011026a13a2b1a882e6
Figure5
5-Figure5-1.png
Figure 5 - A) Coronal T2 WI showing cold abscess and bone marrow edema of the femoral neck (white arrow) in a case of tuberculous arthritis (TB); B) T1 WI post-contrast Fat Sat showing multilocular abscess cavities in a case of TB arthritis (white arrow); C) T1 WI post-contrast Fat Sat showing multilocular abscess cavities in another case of TB arthritis (white arrow); D) Coronal T2 weighted image showing osteomyelitis of the left femoral shaft (white arrow); E) Axial T2 Fat Sat showing left hip septic arthritis with edema and erosions of the femoral head and acetabulum (white arrow).
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93d0f3a03f07c1b41e2b1f17a3417ea98783db34
Figure4
3-Figure4-1.png
Fig. 4 Imaging study after left antero-lateral approach (revision surgery). a Coronal CT with bone windows: effective foraminal decompression on the left side; note the screws of the arthrodesis which remained untouched. b axial CT: good left-sided decompression; note that the plate does not obstruct the visual axis and the working space
474
1,202
{ "a": [ 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40 ], "b": [ 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64 ], "c": null, "d": null, "e": null, "f": null, "g": null, "h": null, "i": null, "j": null, "k": null, "l": null, "m": null, "n": null, "o": null, "p": null }
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End of preview.